Optimal Life Insurance

Size: px
Start display at page:

Download "Optimal Life Insurance"

Transcription

1 Opimal Life Insurance by Karl Borch Barch * 1. Inroducion 1.1. A person who wans o arrange his life insurance in he bes possible manner will probably be bewildered by he many differen offers available from insurance companies. he lieraure which should guide him hrough his jungle of offers is usually of lile help. Much of i is plain sales alk, alhough i may beof of high echnical qualiy, paricularly when i comes o explaining he ax advanages offered by life insurance in differen counries. here is cerainly lieraure which seeks o offer unbiased advice, bu his does no help much, since he auhors and would-be expers seem o disagree among hemselves Much of he heoreical lieraure on life insurance is based on Huebner's concep of "human" life value". his is essenially he presen value of he fuure income which will no be realized if he person dies. his is an asse - presumably an inangible one - which,according o o Huebner, a a raional person should cover by insurance. his is however conroversial. According o o Denenberg [2] "Huebner's "human life value" ideas have been endorsed and enshrined by he life insurance exs and prominenly feaured in he raining maerials of he American College of Life Under- Underwriers". ". On he oher hand, Josephson [5] saes flaly: "I believe i can be said unequivocally ha he Huebner concep did no influence he markeing philosophy of a single life insurance company". We shall no ry o sele his dispue, bu we should noe ha he idea of Huebner has is origin in propery insurance. Boh auhors seem o overlook ha he real problem in his field is no o evaluae he propery, bu o decide if he owner should carry some of he risk himself. Clearly his decision will depend on he cos of insurance cover, and calls for an economic analysis Life insurance has obvious relaions o economics, since i is essenially a form of saving. One gives up consumpion a a he presen ime, in order o provide for one's own old age, or for dependens one may leave a deah. If a person wans o know by how much he shoud cu down curren consumpion in order o provide beer for he fuure, he will ge lile help from economic lieraure. Economic heory is based on "consumer's sovereigny", ", and leaves i i o he individual o decide for himself how he will evaluae curren needs in relaion o he need for providing for fuure coningencies. In In he heory one does however sudy how his evaluaion is * Professor of insurance economics a a he Norwegian School of Economics and Business Adminisraion, Bergen. he auhor is graeful o Denis Moffe for many heaed discussions of his subjec. 3

2 made, since such informaion is is essenial in in he consrucion of general models for predicing saving and invesmen in in he economy as a whole. An economis is more likely o observe, han o preach hrif and frugaliy wih he enhusiasm of a good insurance salesman As life insurance is is aa form of saving, i i will have o compee wih oher forms of saving. he growing ineres in in porfolio heory over he las wo decades has brough much aenion o insurance. Life insurance policies obviously should have a place in an opimal porfolio. How prominen his place should be will clearly depend on he naure of he alernaive invesmens, and his leads o a number of ineresing problems, which recenly have been sudied by several auhors, i.a, i.a. by Fischer [3] and Richard [7]. We shall no ake up hese problems in heir full generaliy, and we shall find i convenien o begin our discussion by considering some older models. 2. he Simples saving saving - consumpion models 2.1. he models we shall sudy go back o he neo-classical schools, and were sudied in deail by Marshall [6] and by Fisher [4], who dedicaed his book o Böhm-Bawerk Bohm-Bawerk [1], "who laid he foundaion upon which I have endeavoured o build". he purpose of hese sudies was o deermine he heoreical relaionships beween savings and ineres raes in he economy. he noaion used by hese wriers appears cumbersome o a modern reader, and in he following we shall use a noaion which is due o Yaari [8] and [9] he given elemen in he models we shall sudy is he consumer's income sream y(), a funcion of ime. he problem is o deermine he opimal sream c() for his expendiure on consumpion. I is convenien o refer o he funcion c() as a consumpion plan. Any plan which can be carried ou for a given income sream will be called a feasible plan. If he consumer can neiher borrow money, nor save money for fuureconsump- consumpion, he feasible consumpion plans will be defined by he inequaliy c() < y() his simply says ha he consumer canno a any ime spend more han his income. Among he feasible plans, he plan c() = y() will appear as he opimal one, under he usual assumpion of non-sauraion, i.e. if we assume ha he consumer prefers o spend his income on consumpion, raher han leing i be wased In order o arrive a less rivial models, we mus assume ha he consumer has some possibiliies of of ransfering money from one poin of ime o anoher, i.e. i.e, ha he can reallocae his income over ime. he simples assumpion of of his kind is ha he consumer can borrow or save any amoun a a he same rae of ineres. For an arbirary consumpion plan, his accumulaed savings a a ime will hen be where 0 is he force of ineres. 4 S() = eö ~ Je-~s {y(s).c(s)} {y(s)-c(s)} ds 0o

3 I is naural o assume ha here are some resricion on he consumer's borrowing. One resricion of his kind would be a condiion: (1) S()>OS >: 0 W'hich which says ha he consumer mus be solven a ime. We can inerpre as his "planning.c horizon" -- or haof of his crediors. A A sricer condiion would be: : foro. S()>O If his condiion is imposed, he consumer is is never allowed o o be in deb, and i (2) S () >: 0 for 0 < <. is no necessary o assume ha ineres raes are he same for borrowing and saving. Eiher of he condiions (1) or (2) will give a seof of feasible consumpion plans, and i is eviden ha (2) will give he more resriced se. If no valueis is assigned o consumpion beyond he horizon, we we will have S S () () = = 00 for for he opimal plan -- under he non-sauraion assumpions I is no necessary o assume ha y () and c () are coninuous flows. We can define Y () and C () as accumulaed income and consumpion up o ime.. Accumulaefaed savings a ime will hen Accumu be S() Se) = e e~ { f Je-~ e dy(s)-f Je-~se dc(s)}. o 0 here is lile o be gained by his rival generalizaion, and i will no be used in iii he following discussion o selec he opimal plan, we need a preference ordering over he se of feasible consumpion plans. I I is convenien if if his ordering can be represened by a uiliy funcional, i.e, i.e. a mapping from he se of feasible plans o he real line, which can be expressed in a simple analyical manner. In economic heory one usually assumes ha he uiliy assigned o an arbirary consumpion plan is is given by an expression of he form: 13) U(c)= = J J e u[c()j u[c()] d. o0 Here i' y represens he consumer's "impaience", ", i.e. his preference for consump- consumpion early raher han lae in he planning period. For he insananeous uiliy funcion II u (c) one usually assumes: : u' (c) > 0 and U" u"(c)<o. < o. Expression (3) clearly conains aa number of of "heroic assumpions", ", and he main mori meri of models of his ype may be ha hey lead o problems which can be solved hyrelaively by simple mahemaical mehods. One should however noe ha i is difficul even o o describe oher, and possibly more realisic preference orderings over les ses of consumpion plans We have now arrived a he problem of maximizing (3), subjec o some condiion, mch such as (1) or (2), which will keep he maximand finie. 5

4 or From he definiion of accumulaed savings S (1) () we find S' (1) () = ~S os () () + y () -- c () c () = y () + as ~S (1) () - S' (). (1). Subsiuing his in in (3) we arrive a he problem of maximizing: r Je- S e" y U[y()+bS()-S'()] u[y()+5s()s'()] d. o0 his expression is is of he form r JF[,x(),x'()] ()J d o so he problem is reduced o a problem in he classical calculus of variaion. A soluion o he problem mus saisfy he Euler equaion f3f d (i3f ôxdk3x' 2.7. In our problem he Euler equaion akes he form which reduces o (4) or (4') ~ d[e_l u'[c()1 _y ()~ d[e- y u'[c()]] ue 5e u'[c()] c~+ + d =0, d Here K is an arbirary posiive consan, which occurs because he soluion of he problem remains he same if he uiliy funcion is muliplied by a posiive consan. From (4) i follows ha c (1) () will be consan if r = a, d, i.e. i.e, if he rae of impaience is equal o he rae of ineres. If If r y> > 6, ~, c (1) () will be monoonic decreasing, and if r ' < a, d, c (1) () will be monoonic increasing. If by pure chance he soluion of he problem should be c (1) () = y Y (), he consumer wifi will neiher borrow nor save. In general i will however be o his advanage o ransfer income from one period o anoher I may be useful o give a simple example o illusrae he resuls above. Le u (c) = log c. he differenial equaion (4) hen becomes c' () = (6 (~ - y) r) C c () wih he soluion c () = Ae@). Ae(&-r). he consan of inegraion A = c (0) mus be deermined so ha condiion (1) is saisfied, wih sric equaliy, i.e, i.e. we mus have 6 ~: = :(:~)., u'[c()] c() c'()- - (y u'[c()j (V c5) u"[c()] u"[c()j u' ii' [c ()] = Ke(1 Ke - al. 5e'y()d= Je- 1 = Je- Sec()d=AJed. 1 ='Af e-y d. 0O' 0 0 Le us furher assume y () = y = consan for 0. Le us furher assume y () = y = consan for 0 < <.

5 > r, we will have c () < y in he beginning of he period, and If in his case ô> ~ y, we will have c () <y in he beginning of he period, and c () > y owards he end. his plan will be feasible, also if he sricer condiion (2) is imposed. If on he oher hand 6 d < y. r, we have c () > y in he beginning of he period, and his plan is no feasible under condiion (2). he opimal feasible plan will hen be c () = y. In his case he inroducion of credi faciliies would relax he condiion (2), and allow he consumer o adop a beer consumpion plan. 3. Models wih uncerainy and Insurance 3.1. In a world of complee cerainy here are no compelling reasons for no giving credi o a consumer, provided ha his fuure income is sufficien o repay he deb wih ineres. If however here is a possibiliy ha he income sream may be cu off a any ime, poenial crediors may impose he sric condiion (2), and no allowing he consumer o be in deb. o formulae his idea in a simple manner, we shall assume ha he income sream y (r) () is given, bu ha i a any ime can drop o zero for he res of he planning period. Le r si () (r) be he probabiliy ha he income sream flows a ime. We have n n(0) = 1. As a concree inerpreaion we can hink. of siuaions in which he income ceases because he consumer becomes permanenly disabled, or unemployed. he radiional purpose of saving is jus o build up a reserve for such evens he problem of he consumer mus now be reformulaed, and i is naural o assume ha he will maximize expeced uiliy: (5) J i e" (x()u[c()+y()] {n()u[c() + +[l-1{)]u[c()]} [1 x()]u[c()]} d o subjec o some condiions such as (1) or (2). As in para 2.6. we can finda a differenial equaion which accumulaed savings mus saisfy, and solve a problem in he calculus of variaion. his soluion o he problem seems inefficien, since i i may lead o an accumulaion of savings which will no be "needed" if if he income sreamis is mainained unil ime, i.e. unil he end of he planning period. he inroducion of insurance will make i possible for he consumer o obain an income c () for consumpion if, and only if, his earnings y () sops. his possibiliy may hen help he consumer, jus as credi faciliies did in para o make hings simple, we shall assume ha he hands his whole income y () over o an insurance company. In reurn he receives a sream c (), which he can use for consumpion. he principle of equivalence implies ha we mus have r r (6) J1()y()e- f ir()y()e_ fl d- f JC()e-M c()e d = 0. O. o0 0 7

6 his condiion which defines he feasible consumpion plans, plays he same role as condiion (1) in he previous secion. he prospecive reserve of he insurance arrangemen a ime 1 is: : Ve) V() = edic(s)e-as"ds-e J ds e5 8f In(s)y(s)e- i(s)y(s)e cls ds. For any insurance conrac one usually requires ha he reserve shall be non- nonnegaive, i.e, i.e. ha (7) V() v (I) >O. >0. his is obviously equivalen o o condiion (2), and he condiions (2) and (7) are usually imposed for similar reasons Insurance has removed he uncerainy, so he problem of he consumer is now r (8) max J j e ufc()j u[c()]d subjec o condiion (6), or o he sricer condiion (7). From he definiion of he reserve we find o0 V'() (I) = dv ov() (1)+ + 11;,r()y() (I) Y (1) - c(f). C (1). We can use his o subsiue for c C (1), (), and obain a problem in he calculus of variaion. o compare he wo problems (5) and (8), we noe ha expeced income a ime 1 is (5') E{y()} = x()y(). n()y(). Hence he former problem can be wrien and he second maxee{u(ös_s+y)} d (8') max] f e- 1u[~V-Jl'+E{y()}]d. u[öv - V'+E{y()}] o Formally he wo problems are idenical, and hey will have idenical soluions, provided ha he sricer condiions (2) and (7) do no become effecive. As we have assumed ha u (c) is concave, i i follows from Jensen's inequaliy ha we have E{u(y)} <u(e{y}) so ha problem (8) gives a higher uiliy han problem (5) We have inroduced insurance in a raher arificial way. A more convenional way would be o assume ha he consumer agrees o pay a sream of premiums p (I) () as long as his income flows. In reurn he receives an income sream c (I) () if he sream y (I) () should sop. he problem is hen o deermine an insurance plan which will make i possible o carry ou he bes possible consumpion plan. 8 max] e-, E{u(~S-S'+y)} d o

7 Formally he problem is as before o maximize Je- y u[c()]d. 0o Under his plan accumulaed savings a a ime will be: Se) S() = e~j{y(s)-c(s)-p(s)} e'5j' {y(s)c(s)p(s)} e- 6s ds. o0 he rerospecive reserve under he insurance conrac a a ime will be: Ve)= V() = e3'f e 6 J1(s)p(s)e- z(s)p(s)e cjs ds-emj[l-n(s)]c(s)e-cjsis. - e"j [1 x(s)jc(s)e ds. Differeniaing hese wo equaions, and eliminaing p (), we obain an expression for c () which can be subsiued ino he maximand. he problem hen akes a familiar form. If we impose no oher condiions on S () and V () han simple boundary condiions, such as and S (0) == = S () = 0 V V(0)=V()=0 = V () = 0 o 0 he problem can be solved by classical calculus of variaion. I can be shown ha under he opimal plans c () + p () (1) = y () i.e, i.e. S () (1) = 0, so ha all saving akes place by building up reserves in he insurance company. his resul should no be surprising, since insurance does no lead o any savings which may no be needed he premium is deermined by he principle of equivalence, i.e. i.e, he equaion V V() () = 0 or J1()p()e-6 x()p()e d = J{l-1()}c()e- {1 - iv()}c()e cj d. 0o 0 Any funcion p () which saisfies his equaion represens a feasible premium plan, alhough one would usually also require ha V () > O. alhough one would usually also require ha V () > 0. In convenional insurance conracs he funcion p () is usually of a simple form, for insance p () = p = consan. In such cases he difference y (1) (I) -- p P (0 () - c (I) (f) will be saved, or if negaive mus be covered from accumulaed savings. Hence an inflexible plan for paying premiums may force he consumer o savein inhe heconven- convenional way. he poin may have some pracical ineres. Why should a consumer have o pu money ino he bank in order o pay fuure "level premiums" o his insurance company? 4. LIfe Life Insurance 4.1. Le us now assume ha he income sream ceases only wih he consumer's deah. If we assume ha his need for consumpion dies wih him, he models in he preceding secion do do no longer apply. he upper limi in.he inegral in he objecive funcion (3), was inerpreed as he consumer's planning horizon. His life ime is a 9

8 very naural planning horizon indeed, so so le le us us inerpre as he ime of he consumer's deah. Clearly is a sochasic variable, and is probabiliy densiy is f() 1() ='-- Jx+ Here i x is he moraliy able, and I-x is ne ile force of moraliy. I is really unnecessary o o inroduce he symbol x, x, represening, he consumer's age, bu i i is convenien o o do so, since his makes i possible o use he sandard acuarial noaion he expeced uiliy of he life ime consumpion is hen obained from (3) u =J{fevurc()] d} + Jx+ d = o0 0 Hence he problem is o maximize (9) fe fe_ u[c()] u{c()) d. u{c()] d subjec o some condiions. he principle of equivalence requires ha he expeced discouned value of income mus be equal o ha of he expendiure on consumpion, i.e. i.e, U, X+ (10) fe-~ lx+ {y()-c()} {y(r)c()} d = 0. O. As in pam para 3.3 we can assume ha he consumer agrees o pay his whole income y (1) () o an insurance company, and in reurn receives funds c (1) () for consumpion. he prospecive reserve for his insurance conrac is V() = e3fes e~fe-~s +s ±! {c(s)y(s)} - x {c(s)-yes)} ds r.: 'X+ and we find (11) V' () (1) = (ô (~ + x+) V () (1) + y () (1) - c () I is usual o require ha he reserve for an insurance conrac mus be non. nonnegaive, i.e, i.e. ha (12) V V()0. (1) ~ o We have now arrived a he problem of maximizing (9) subjec o he condiion (12). If we carry ou he maximaion under only he weaker condiion (10), we can deermine c C () (1) from (11), subsiue in in (9), proceed as as in Secion 2, and arrive a he same resul. We find ha he opimal consumpion plan is deermined by he differenial equaion (4) e'() c'() - = (y (y- 5) ö) u'{c()] u'[c()] u"[c()j u"[c()] ,,+ U =f{f e-yu[c()]d} ": J.lx+ d = o 00 i, x fe- 1 ;: o0

9 As u' (c) > 0 and u" (c) < 0 i follows ha c' () (I) < ( 0 if y " > ô. ~. hisis is Fisher's case of high impaience. he consumer will be eager for early consumpion, and his opimal plan will be represened by a decreasing funcion c (). (I). his is no a reasonable resul. I may of course happen ha a person has a high consumpion early in life, and ha his consumpion decreases seadily. I is however difficul o o accep ha a consumpion paern of his form should be he oucome of deliberae lifelong planning. Mos people seem o o plan for progress, and o improve heir lo. he case ~ > y 'Y does no appear much more reasonable, alhough a person may conceivably plan so ha he can enjoy an increasing consumpion all hrough his life o hrow more ligh on he wo quesions raised above, we shall sudy a simple special case. Le as in para 2.8. u ii (c) = log c. he differenial equaion which deermines c (1) () hen has he soluion c (I) () = c C (0) e(a-r). e(). Le us furher assume ha y () = y for 0 < is a case of a ypical old age pension. he iniial value c (0) is deermined by (10), i.e. yj'e2!± e; d = c(0)fe7, he premium o be paid for his pension plan is p()=yc() for0<n. n, and y () = 0 for n <. his Le us furher assume ha y (1) = Y for 0 < 1 < n, and y (I) = 0 for n <. his I ex> yfe- 8 lx+ d = c(o){e-y lx+ d. o 0 P (I) = Y - C (1) for 0< 1 < n: Under condiion (12), he plan will no be feasible if if C c (0) > y. In his casei may be opimal o consume he whole income early in life, wih good inenions of beginning o pay ino a pension plan a some laer dae. I is difficul o accep ha he consumpion plan we have found is superior o he more convenional plan wih c (I) () = c = consan. he feasible consan consumpion level will hen be deermined by and i will be paid for by he level premium p p = = yy -- c up o ime n. he paradoxes we have found are due o our raher arbirary assumpions abou he uiliy funcion. We shall however no sudy uiliy funcions which lead o more reasonable resuls. Insead we shall discuss a more real paradox Le us assume ha he consumer has no income in he firs par of he planning period. He may hen borrow money for consumpion, and secure he loan by life insurance. Le c () and p () (1) be he flow funcions represening respecively consumpion and premium paymen. A ime 1 he accumulaed deb deb of of he he consumer will be will be (13) S() Se) = eö(c(s)+p(s)}e emj {c(s)+p(s)}e- 8s ds. o C 11

10 he premium mus be sufficien o o pay for a life insurance wih an amoun S () payable if he consumer dies a ime. he principle of equivalence hen gives he relaion X+söa S fp( S) lx+s-~s ds = JS(s) fs(s) lx+si+5 -~s.,, Jlx+ s e d ds.. fp(s) x x We see ha his equaion is saisfied for p () = S () lx +r his + corresponds o a pure risk insurance, or a "renewable erm" conrac. he reserve for his insurance is zero, so ha henon-negaiviy condiion (12) is saisfied. Subsiuing he expression for p () in (13), we obain S() = e J {c(s) + p+s(s)}e' ds. Differeniaing we obain he differenial equaion which has he soluion S'() = (o (0 + ++)S() f.x+) S () +c() + c Se)= S() = Jc(s)e s 0o or in he sandard acuarial noaion o 0.f SCi} = e~ J{c(s)+Jlx+~(s)}e-~S ds. o * ls s...j(~+ P:e +,.)4r ±! ds Se) S() = f D J x + s c(s) ds. Dx+ 0o 4.6. In he problem discussed above here are no obvious limis neiher o c () nor o. Hence a person wih no prospecive income should be able o mainain an arbirary high level of consumpion for any finie period of of ime, if if he is allowed o play he "insurance game" we have oulined. Apparenly nobody loses in he game. he insurance company will receive he premiums, and pay he corresponding amoun on he deah of he consumer. he lender wil will receive he loan back, wih compound ineres when he consumer dies. here are no obvious insiuional difficulies. here should for insance be no legal objecions if if he lender himself akes ou life insurance on he consumer, pays he premiums and adds hem, wih ineres o he loan. Yaari [9] recognizes he paradox, bu dismisses i i wih an assumpion ha he "company will refuse o issue life insurance afer he consumer reaches a cerain age". his is correc, bu he age limi is in mos counries beween 70 and 90, so his is no a very saisfacory explanaion. o a man in his early wenies, half a cenury of no work and unresrained consumpion, even if if a day of reckoning is bound o come, may seem an aracive prospec Fisher [4] does no discuss he paradox expliciely, bu he recognizes he legiimacy of "consumpion " loans o anicipae improvemen in financial condiion ". I is however clear from his book ha Fisher would have ried o explain he paradox bymacro- macroeconomic argumens. Nobody can consume more han his income, unless somebody else is willing o o save a par of his income and lend i o he impaien consumer. In 12

11 Fisher's world consumers who wan o o play he "insurance game" may be unable o find lenders. his is however no a complee explanaion. he ineres rae should bring abou equilibrium beween demand from borrowers and supply from lenders, bu i is clear ha higher ineres would no deer a consumer who waned o play he game. An increase in he ineres rae would jus drive ou of he marke hose who wan o borrow for invesmen purposes. Hence life insurance backing for consumer loans mus creae some inflaionary pressure, simply because i makes possible consumpion which oherwise would have o be posponed. he real paradox behind hese observaions may be ha life insurance companies, whose very exisence seems o o be hreaened by inflaion, conribue o he inflaion by selling erm insurance o cover loans which may accelerae consumpion. We shall no discuss his quesion furher, since i i seems o meri a separae paper. I may however be of ineres o menion ha Fisher observes ha "such loans are made perhaps mos ofen in Grea briain" ([4], page 358), a counry which has he world's mos developed insurance insiuions, and also an unenviable rae of inflaion. 5. Insurance for he benefi of survivors 5.1. We have so far considered life insurance only as a mean o smoohen a flucuaing income sream over an uncerain life ime. he soluion o he problems considered made cerain ha he consumer lef no unspen savings a his deah. Much life insurance is however wrien for he explici purpose of leaving liquid asses as "bequess" o heirs. We mus herefore conclude ha some people assign uiliy o leaving such bequess. o bring his elemen ino he model we can assume ha he person'sconsumpion- consumpioninsurance plan consiss of wo elemens: (i) a consumpion plan for his life ime c ();; (ii) an amoun B () payable as beques o he consumer's heirs if he should die a ime. Wih given resources, i.e. when he income sream y () is given, a se of pairs {c (), B ()} will appear as feasible. he firs problem is hen o esablish a preference ordering over a se of such pairs. Wih he assumpions we have made earlier, i is naural o assume ha he uiliy assigned o an arbirary pair is ex> 00 (14) fe i + u[c()]d +fr() i+ w[b()ld, (14) fe-y ;: u[c()]d+f P() ;: Jl.x+ w[b()]d. o 0 Here we have wrien {3 fi () raher han e-~, e, becausei i seemsa a lile arificial o assume ha bequess should be discouned a a consan rae. he funcion w (B) represens he uiliy of a beques B. Expression (14) is Yaari's crierion funcion in sandard acuarial noaion. 13

12 5.2. In order o deermine he feasible pairs, we can again assume ha he consumer pays his whole income y (1) () o an insurance company, which in in reurn gives him a pair {c (), (1), B (I)}. ()}. he principle of equivalence hen requires ha (15) fe y()d fe ± {c()+px+ B()}d. he prospecive reserve of his insurance conrac is From his we obain V() = eaje- eofe' {c(s)+z+3 B(s)y(s)} - as x + s {c(s)+jlx+s B(s)-y(s)} ds. lx+ x+ V'() = {ö {b+jlx+} +p+1} V()+y()-{c()+Jlx+B()}. We can use his o find an expression for c (I) () + u f..x++ B (I), (), and subsiue in (14). he problem of maximizing (14) is hen reduced o a problem in he classical calculus of variaion. he problem becomes more complicaed if if we impose he naural condiion: (15) fe-a lx+ y()d = fe-a lx+ {c()+jlx+ B()}d. e, ; o 0 00 v V (I) () ;;:: > 0. O I is no possible o discuss he shape of he soluion in any deail, wihou making some assumpions abou he funcions u (c), w (B) and fi fj (). (1). I is however no easy o decide which assumpions one should reasonably make, and he lieraure we have referred o has lile o say abou his quesion. If he purpose of he insurance is o provide income for a surviving widow, i may be naural o pu B () (r) = b~+, bi +, where z is he age of he wife when he insurance arrangemen is made. he funcion c (1) () and b mus saisfy (15), and be deermined so ha (14), or some oher crierion funcion is maximized. his arrangemen will give he widow a lump sum, sufficien o buy a life-long annuiy for an amoun b he arrangemen we have oulined may be inefficien for wo reasons: (i) (1) if he widow does no wan a consan consumpion plan, she will afer he deah of he husband have o solve he problem discussed in Secion 4, and deermine her own opimal consumpion-insurance plan; (ii) he wife may die before he husband, and in his case he beques will be be ""wased" in he same way as he convenional savings discussed in Secion 2. he more general approach would consis in specifying hree consumpion plans c1 c 1 (I), (), c2 c 2 (1) () and c3 c 3 (I) () for respecively he couple, he surviving widow, and he surviving widower. he principle of equivalence will hen give he feasible plans, which mus saisfy he condiion Jy() d = f {c1() c2() c3()} d +fc2() d +5 c3() d. 14

13 he opimal riple mus hen be deermined so ha some crierion funcion is maximized. I does no seem realisic o assume ha a family shall be able o specify is preferences for fuure consumpion in in he form of a crierion funcion, even more complicaed han (14). Such assumpions mus however be made by hose who design or sell pension plans for group of families. Governmenal plans are usually esablished hrough a democraic process, and privae plans are sold, so we mus assume ha he plans we find in real life, in some sense are close o opimal. hese plans do however differ considerably from one counry o o anoher, and from one group o anoher. If hey all are opimal, here musbe be wide differencesin in he underlying preferences. If we don' accep his conclusion, we should examine exising plans criically. I may be possible o improve hem, wihou violaing he principle of equivalence, which simply says ha you pay for wha you ge o generalize our model, we can consider he family as he uni, and inroduce he noaion: : 7I: s () = he probabiliy ha he family shall be in sae s a ime. Here "Lns()= i3()= 1. Y$(r) y8 () = he family's income a ime, if i is in sae s. c3 () (I) = he family's consumpion a ime 1,, if i is in sae s. s, C s.1=1 he principle of equivalence hen gives n 00 L Je-cln,(){Ys()-c,()}d= e S ir3()y() - c3()}d 0. O. s1 s=1 0 his equaion gives he se of feasible consumpion plans c9 C s () for he differen saes. he given elemens are he income sreams y Ys () and he sae probabiliies 71:$ (). (r), In order o deermine he opimal plan, we need informaion abou he family's preferences, and his may be difficul o obain in an ariculae form. If he purpose of life insurance is o provide income for he family in differen saes, here is no need for he convenional insurance conrac wih a lump sum payable a deah - or or more generally- - whenhe he family makesa a ransiion from one sae o anoher. his conrac is however flexible in he sense ha i makes i possible for he family o readjus is consumpion plan afer a change of sae. he flexibiliy may be worh some heoreical loss in efficiency, a a leas o he normal family unable o specify a complee preference ordering over fuure consumpion in all possible saes

14 REFERENCES 1. BOHM-BAWERK, E., B., Posiive heorie des Kapials, Vienna, DENENBERG, H. H. S., S., "Auhor's Reply", ", he Journal of Risk and Insurance, 1970, FISCHER, S., "A Life Cycle Model of of Life Insurance Purchasing ", Inernaional Economic Review, 1973, FISHER, I., he heory of Ineres, Macmillan, JOSEPHSON, H. H. D., D., "A New Concep of he Economics of Life Value and he Human Life Value: : Commen ", ", he Journal of Risk and Insurance, 1970, MARSHALL, A., Principles of Economics, Macmillan, RICHARD, S. F., F., "Opimal Consumpion, Porfolio and Life Insurance. Rules for an Uncerain Lived Individual in a Coninuous ime Model ", Journal of Financial Economics, 1975, YAARI, M.-E., "On he Exisence of an Opimal Plan in a Coninuous ime Allocaion Process ", Economerica, 1964, YAARI, M~ M. E., B., "Uncerain Lifeime, Life Insurance, and he heory of he Consumer ", Review of Economic Sudies, 1965,

PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE

PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE Profi Tes Modelling in Life Assurance Using Spreadshees PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE Erik Alm Peer Millingon 2004 Profi Tes Modelling in Life Assurance Using Spreadshees

More information

Optimal Investment and Consumption Decision of Family with Life Insurance

Optimal Investment and Consumption Decision of Family with Life Insurance Opimal Invesmen and Consumpion Decision of Family wih Life Insurance Minsuk Kwak 1 2 Yong Hyun Shin 3 U Jin Choi 4 6h World Congress of he Bachelier Finance Sociey Torono, Canada June 25, 2010 1 Speaker

More information

Stochastic Optimal Control Problem for Life Insurance

Stochastic Optimal Control Problem for Life Insurance Sochasic Opimal Conrol Problem for Life Insurance s. Basukh 1, D. Nyamsuren 2 1 Deparmen of Economics and Economerics, Insiue of Finance and Economics, Ulaanbaaar, Mongolia 2 School of Mahemaics, Mongolian

More information

Longevity 11 Lyon 7-9 September 2015

Longevity 11 Lyon 7-9 September 2015 Longeviy 11 Lyon 7-9 Sepember 2015 RISK SHARING IN LIFE INSURANCE AND PENSIONS wihin and across generaions Ragnar Norberg ISFA Universié Lyon 1/London School of Economics Email: ragnar.norberg@univ-lyon1.fr

More information

Working Paper No. 482. Net Intergenerational Transfers from an Increase in Social Security Benefits

Working Paper No. 482. Net Intergenerational Transfers from an Increase in Social Security Benefits Working Paper No. 482 Ne Inergeneraional Transfers from an Increase in Social Securiy Benefis By Li Gan Texas A&M and NBER Guan Gong Shanghai Universiy of Finance and Economics Michael Hurd RAND Corporaion

More information

Individual Health Insurance April 30, 2008 Pages 167-170

Individual Health Insurance April 30, 2008 Pages 167-170 Individual Healh Insurance April 30, 2008 Pages 167-170 We have received feedback ha his secion of he e is confusing because some of he defined noaion is inconsisen wih comparable life insurance reserve

More information

The Transport Equation

The Transport Equation The Transpor Equaion Consider a fluid, flowing wih velociy, V, in a hin sraigh ube whose cross secion will be denoed by A. Suppose he fluid conains a conaminan whose concenraion a posiion a ime will be

More information

Chapter 7. Response of First-Order RL and RC Circuits

Chapter 7. Response of First-Order RL and RC Circuits Chaper 7. esponse of Firs-Order L and C Circuis 7.1. The Naural esponse of an L Circui 7.2. The Naural esponse of an C Circui 7.3. The ep esponse of L and C Circuis 7.4. A General oluion for ep and Naural

More information

CLASSIFICATION OF REINSURANCE IN LIFE INSURANCE

CLASSIFICATION OF REINSURANCE IN LIFE INSURANCE CLASSIFICATION OF REINSURANCE IN LIFE INSURANCE Kaarína Sakálová 1. Classificaions of reinsurance There are many differen ways in which reinsurance may be classified or disinguished. We will discuss briefly

More information

Economics Honors Exam 2008 Solutions Question 5

Economics Honors Exam 2008 Solutions Question 5 Economics Honors Exam 2008 Soluions Quesion 5 (a) (2 poins) Oupu can be decomposed as Y = C + I + G. And we can solve for i by subsiuing in equaions given in he quesion, Y = C + I + G = c 0 + c Y D + I

More information

DYNAMIC MODELS FOR VALUATION OF WRONGFUL DEATH PAYMENTS

DYNAMIC MODELS FOR VALUATION OF WRONGFUL DEATH PAYMENTS DYNAMIC MODELS FOR VALUATION OF WRONGFUL DEATH PAYMENTS Hong Mao, Shanghai Second Polyechnic Universiy Krzyszof M. Osaszewski, Illinois Sae Universiy Youyu Zhang, Fudan Universiy ABSTRACT Liigaion, exper

More information

Chapter 1.6 Financial Management

Chapter 1.6 Financial Management Chaper 1.6 Financial Managemen Par I: Objecive ype quesions and answers 1. Simple pay back period is equal o: a) Raio of Firs cos/ne yearly savings b) Raio of Annual gross cash flow/capial cos n c) = (1

More information

THE FIRM'S INVESTMENT DECISION UNDER CERTAINTY: CAPITAL BUDGETING AND RANKING OF NEW INVESTMENT PROJECTS

THE FIRM'S INVESTMENT DECISION UNDER CERTAINTY: CAPITAL BUDGETING AND RANKING OF NEW INVESTMENT PROJECTS VII. THE FIRM'S INVESTMENT DECISION UNDER CERTAINTY: CAPITAL BUDGETING AND RANKING OF NEW INVESTMENT PROJECTS The mos imporan decisions for a firm's managemen are is invesmen decisions. While i is surely

More information

LECTURE: SOCIAL SECURITY HILARY HOYNES UC DAVIS EC230 OUTLINE OF LECTURE:

LECTURE: SOCIAL SECURITY HILARY HOYNES UC DAVIS EC230 OUTLINE OF LECTURE: LECTURE: SOCIAL SECURITY HILARY HOYNES UC DAVIS EC230 OUTLINE OF LECTURE: 1. Inroducion and definiions 2. Insiuional Deails in Social Securiy 3. Social Securiy and Redisribuion 4. Jusificaion for Governmen

More information

Life insurance cash flows with policyholder behaviour

Life insurance cash flows with policyholder behaviour Life insurance cash flows wih policyholder behaviour Krisian Buchard,,1 & Thomas Møller, Deparmen of Mahemaical Sciences, Universiy of Copenhagen Universiesparken 5, DK-2100 Copenhagen Ø, Denmark PFA Pension,

More information

USE OF EDUCATION TECHNOLOGY IN ENGLISH CLASSES

USE OF EDUCATION TECHNOLOGY IN ENGLISH CLASSES USE OF EDUCATION TECHNOLOGY IN ENGLISH CLASSES Mehme Nuri GÖMLEKSİZ Absrac Using educaion echnology in classes helps eachers realize a beer and more effecive learning. In his sudy 150 English eachers were

More information

Option Put-Call Parity Relations When the Underlying Security Pays Dividends

Option Put-Call Parity Relations When the Underlying Security Pays Dividends Inernaional Journal of Business and conomics, 26, Vol. 5, No. 3, 225-23 Opion Pu-all Pariy Relaions When he Underlying Securiy Pays Dividends Weiyu Guo Deparmen of Finance, Universiy of Nebraska Omaha,

More information

Table of contents Chapter 1 Interest rates and factors Chapter 2 Level annuities Chapter 3 Varying annuities

Table of contents Chapter 1 Interest rates and factors Chapter 2 Level annuities Chapter 3 Varying annuities Table of conens Chaper 1 Ineres raes and facors 1 1.1 Ineres 2 1.2 Simple ineres 4 1.3 Compound ineres 6 1.4 Accumulaed value 10 1.5 Presen value 11 1.6 Rae of discoun 13 1.7 Consan force of ineres 17

More information

Optimal Consumption and Insurance: A Continuous-Time Markov Chain Approach

Optimal Consumption and Insurance: A Continuous-Time Markov Chain Approach Opimal Consumpion and Insurance: A Coninuous-Time Markov Chain Approach Holger Kraf and Mogens Seffensen Absrac Personal financial decision making plays an imporan role in modern finance. Decision problems

More information

ANALYSIS AND COMPARISONS OF SOME SOLUTION CONCEPTS FOR STOCHASTIC PROGRAMMING PROBLEMS

ANALYSIS AND COMPARISONS OF SOME SOLUTION CONCEPTS FOR STOCHASTIC PROGRAMMING PROBLEMS ANALYSIS AND COMPARISONS OF SOME SOLUTION CONCEPTS FOR STOCHASTIC PROGRAMMING PROBLEMS R. Caballero, E. Cerdá, M. M. Muñoz and L. Rey () Deparmen of Applied Economics (Mahemaics), Universiy of Málaga,

More information

A Re-examination of the Joint Mortality Functions

A Re-examination of the Joint Mortality Functions Norh merican cuarial Journal Volume 6, Number 1, p.166-170 (2002) Re-eaminaion of he Join Morali Funcions bsrac. Heekung Youn, rkad Shemakin, Edwin Herman Universi of S. Thomas, Sain Paul, MN, US Morali

More information

Optimal Life Insurance Purchase and Consumption/Investment under Uncertain Lifetime

Optimal Life Insurance Purchase and Consumption/Investment under Uncertain Lifetime Opimal Life Insurance Purchase and Consumpion/Invesmen under Uncerain Lifeime Sanley R. Pliska a,, a Dep. of Finance, Universiy of Illinois a Chicago, Chicago, IL 667, USA Jinchun Ye b b Dep. of Mahemaics,

More information

2.5 Life tables, force of mortality and standard life insurance products

2.5 Life tables, force of mortality and standard life insurance products Soluions 5 BS4a Acuarial Science Oford MT 212 33 2.5 Life ables, force of moraliy and sandard life insurance producs 1. (i) n m q represens he probabiliy of deah of a life currenly aged beween ages + n

More information

Optimal Life Insurance Purchase, Consumption and Investment

Optimal Life Insurance Purchase, Consumption and Investment Opimal Life Insurance Purchase, Consumpion and Invesmen Jinchun Ye a, Sanley R. Pliska b, a Dep. of Mahemaics, Saisics and Compuer Science, Universiy of Illinois a Chicago, Chicago, IL 667, USA b Dep.

More information

Present Value Methodology

Present Value Methodology Presen Value Mehodology Econ 422 Invesmen, Capial & Finance Universiy of Washingon Eric Zivo Las updaed: April 11, 2010 Presen Value Concep Wealh in Fisher Model: W = Y 0 + Y 1 /(1+r) The consumer/producer

More information

BALANCE OF PAYMENTS. First quarter 2008. Balance of payments

BALANCE OF PAYMENTS. First quarter 2008. Balance of payments BALANCE OF PAYMENTS DATE: 2008-05-30 PUBLISHER: Balance of Paymens and Financial Markes (BFM) Lena Finn + 46 8 506 944 09, lena.finn@scb.se Camilla Bergeling +46 8 506 942 06, camilla.bergeling@scb.se

More information

4. International Parity Conditions

4. International Parity Conditions 4. Inernaional ariy ondiions 4.1 urchasing ower ariy he urchasing ower ariy ( heory is one of he early heories of exchange rae deerminaion. his heory is based on he concep ha he demand for a counry's currency

More information

Efficient Risk Sharing with Limited Commitment and Hidden Storage

Efficient Risk Sharing with Limited Commitment and Hidden Storage Efficien Risk Sharing wih Limied Commimen and Hidden Sorage Árpád Ábrahám and Sarola Laczó March 30, 2012 Absrac We exend he model of risk sharing wih limied commimen e.g. Kocherlakoa, 1996) by inroducing

More information

Markov Chain Modeling of Policy Holder Behavior in Life Insurance and Pension

Markov Chain Modeling of Policy Holder Behavior in Life Insurance and Pension Markov Chain Modeling of Policy Holder Behavior in Life Insurance and Pension Lars Frederik Brand Henriksen 1, Jeppe Woemann Nielsen 2, Mogens Seffensen 1, and Chrisian Svensson 2 1 Deparmen of Mahemaical

More information

Chapter 10 Social Security 1

Chapter 10 Social Security 1 Chaper 0 Social Securiy 0. Inroducion A ypical social securiy sysem provides income during periods of unemploymen, ill-healh or disabiliy, and financial suppor, in he form of pensions, o he reired. Alhough

More information

Duration and Convexity ( ) 20 = Bond B has a maturity of 5 years and also has a required rate of return of 10%. Its price is $613.

Duration and Convexity ( ) 20 = Bond B has a maturity of 5 years and also has a required rate of return of 10%. Its price is $613. Graduae School of Business Adminisraion Universiy of Virginia UVA-F-38 Duraion and Convexiy he price of a bond is a funcion of he promised paymens and he marke required rae of reurn. Since he promised

More information

AP Calculus AB 2013 Scoring Guidelines

AP Calculus AB 2013 Scoring Guidelines AP Calculus AB 1 Scoring Guidelines The College Board The College Board is a mission-driven no-for-profi organizaion ha connecs sudens o college success and opporuniy. Founded in 19, he College Board was

More information

UNDERSTANDING THE DEATH BENEFIT SWITCH OPTION IN UNIVERSAL LIFE POLICIES. Nadine Gatzert

UNDERSTANDING THE DEATH BENEFIT SWITCH OPTION IN UNIVERSAL LIFE POLICIES. Nadine Gatzert UNDERSTANDING THE DEATH BENEFIT SWITCH OPTION IN UNIVERSAL LIFE POLICIES Nadine Gazer Conac (has changed since iniial submission): Chair for Insurance Managemen Universiy of Erlangen-Nuremberg Lange Gasse

More information

LEASING VERSUSBUYING

LEASING VERSUSBUYING LEASNG VERSUSBUYNG Conribued by James D. Blum and LeRoy D. Brooks Assisan Professors of Business Adminisraion Deparmen of Business Adminisraion Universiy of Delaware Newark, Delaware The auhors discuss

More information

The Grantor Retained Annuity Trust (GRAT)

The Grantor Retained Annuity Trust (GRAT) WEALTH ADVISORY Esae Planning Sraegies for closely-held, family businesses The Granor Reained Annuiy Trus (GRAT) An efficien wealh ransfer sraegy, paricularly in a low ineres rae environmen Family business

More information

Dependent Interest and Transition Rates in Life Insurance

Dependent Interest and Transition Rates in Life Insurance Dependen Ineres and ransiion Raes in Life Insurance Krisian Buchard Universiy of Copenhagen and PFA Pension January 28, 2013 Absrac In order o find marke consisen bes esimaes of life insurance liabiliies

More information

11/6/2013. Chapter 14: Dynamic AD-AS. Introduction. Introduction. Keeping track of time. The model s elements

11/6/2013. Chapter 14: Dynamic AD-AS. Introduction. Introduction. Keeping track of time. The model s elements Inroducion Chaper 14: Dynamic D-S dynamic model of aggregae and aggregae supply gives us more insigh ino how he economy works in he shor run. I is a simplified version of a DSGE model, used in cuing-edge

More information

Why Did the Demand for Cash Decrease Recently in Korea?

Why Did the Demand for Cash Decrease Recently in Korea? Why Did he Demand for Cash Decrease Recenly in Korea? Byoung Hark Yoo Bank of Korea 26. 5 Absrac We explores why cash demand have decreased recenly in Korea. The raio of cash o consumpion fell o 4.7% in

More information

Optimal Life Insurance, Consumption and Portfolio: A Dynamic Programming Approach

Optimal Life Insurance, Consumption and Portfolio: A Dynamic Programming Approach 28 American Conrol Conference Wesin Seale Hoel, Seale, Washingon, USA June 11-13, 28 WeA1.5 Opimal Life Insurance, Consumpion and Porfolio: A Dynamic Programming Approach Jinchun Ye (Pin: 584) Absrac A

More information

ABSTRACT KEYWORDS. Markov chain, Regulation of payments, Linear regulator, Bellman equations, Constraints. 1. INTRODUCTION

ABSTRACT KEYWORDS. Markov chain, Regulation of payments, Linear regulator, Bellman equations, Constraints. 1. INTRODUCTION QUADRATIC OPTIMIZATION OF LIFE AND PENSION INSURANCE PAYMENTS BY MOGENS STEFFENSEN ABSTRACT Quadraic opimizaion is he classical approach o opimal conrol of pension funds. Usually he paymen sream is approximaed

More information

AP Calculus AB 2010 Scoring Guidelines

AP Calculus AB 2010 Scoring Guidelines AP Calculus AB 1 Scoring Guidelines The College Board The College Board is a no-for-profi membership associaion whose mission is o connec sudens o college success and opporuniy. Founded in 1, he College

More information

ARCH 2013.1 Proceedings

ARCH 2013.1 Proceedings Aricle from: ARCH 213.1 Proceedings Augus 1-4, 212 Ghislain Leveille, Emmanuel Hamel A renewal model for medical malpracice Ghislain Léveillé École d acuaria Universié Laval, Québec, Canada 47h ARC Conference

More information

Relationships between Stock Prices and Accounting Information: A Review of the Residual Income and Ohlson Models. Scott Pirie* and Malcolm Smith**

Relationships between Stock Prices and Accounting Information: A Review of the Residual Income and Ohlson Models. Scott Pirie* and Malcolm Smith** Relaionships beween Sock Prices and Accouning Informaion: A Review of he Residual Income and Ohlson Models Sco Pirie* and Malcolm Smih** * Inernaional Graduae School of Managemen, Universiy of Souh Ausralia

More information

Mathematics in Pharmacokinetics What and Why (A second attempt to make it clearer)

Mathematics in Pharmacokinetics What and Why (A second attempt to make it clearer) Mahemaics in Pharmacokineics Wha and Why (A second aemp o make i clearer) We have used equaions for concenraion () as a funcion of ime (). We will coninue o use hese equaions since he plasma concenraions

More information

Morningstar Investor Return

Morningstar Investor Return Morningsar Invesor Reurn Morningsar Mehodology Paper Augus 31, 2010 2010 Morningsar, Inc. All righs reserved. The informaion in his documen is he propery of Morningsar, Inc. Reproducion or ranscripion

More information

Basic Life Insurance Mathematics. Ragnar Norberg

Basic Life Insurance Mathematics. Ragnar Norberg Basic Life Insurance Mahemaics Ragnar Norberg Version: Sepember 22 Conens 1 Inroducion 5 1.1 Banking versus insurance...................... 5 1.2 Moraliy............................... 7 1.3 Banking................................

More information

CRISES AND THE FLEXIBLE PRICE MONETARY MODEL. Sarantis Kalyvitis

CRISES AND THE FLEXIBLE PRICE MONETARY MODEL. Sarantis Kalyvitis CRISES AND THE FLEXIBLE PRICE MONETARY MODEL Saranis Kalyviis Currency Crises In fixed exchange rae regimes, counries rarely abandon he regime volunarily. In mos cases, raders (or speculaors) exchange

More information

On the degrees of irreducible factors of higher order Bernoulli polynomials

On the degrees of irreducible factors of higher order Bernoulli polynomials ACTA ARITHMETICA LXII.4 (1992 On he degrees of irreducible facors of higher order Bernoulli polynomials by Arnold Adelberg (Grinnell, Ia. 1. Inroducion. In his paper, we generalize he curren resuls on

More information

Hedging with Forwards and Futures

Hedging with Forwards and Futures Hedging wih orwards and uures Hedging in mos cases is sraighforward. You plan o buy 10,000 barrels of oil in six monhs and you wish o eliminae he price risk. If you ake he buy-side of a forward/fuures

More information

Answer, Key Homework 2 David McIntyre 45123 Mar 25, 2004 1

Answer, Key Homework 2 David McIntyre 45123 Mar 25, 2004 1 Answer, Key Homework 2 Daid McInyre 4123 Mar 2, 2004 1 This prin-ou should hae 1 quesions. Muliple-choice quesions may coninue on he ne column or page find all choices before making your selecion. The

More information

Working Paper On the timing option in a futures contract. SSE/EFI Working Paper Series in Economics and Finance, No. 619

Working Paper On the timing option in a futures contract. SSE/EFI Working Paper Series in Economics and Finance, No. 619 econsor www.econsor.eu Der Open-Access-Publikaionsserver der ZBW Leibniz-Informaionszenrum Wirschaf The Open Access Publicaion Server of he ZBW Leibniz Informaion Cenre for Economics Biagini, Francesca;

More information

Optimal Stock Selling/Buying Strategy with reference to the Ultimate Average

Optimal Stock Selling/Buying Strategy with reference to the Ultimate Average Opimal Sock Selling/Buying Sraegy wih reference o he Ulimae Average Min Dai Dep of Mah, Naional Universiy of Singapore, Singapore Yifei Zhong Dep of Mah, Naional Universiy of Singapore, Singapore July

More information

Inductance and Transient Circuits

Inductance and Transient Circuits Chaper H Inducance and Transien Circuis Blinn College - Physics 2426 - Terry Honan As a consequence of Faraday's law a changing curren hrough one coil induces an EMF in anoher coil; his is known as muual

More information

Credit Index Options: the no-armageddon pricing measure and the role of correlation after the subprime crisis

Credit Index Options: the no-armageddon pricing measure and the role of correlation after the subprime crisis Second Conference on The Mahemaics of Credi Risk, Princeon May 23-24, 2008 Credi Index Opions: he no-armageddon pricing measure and he role of correlaion afer he subprime crisis Damiano Brigo - Join work

More information

17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides

17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides 7 Laplace ransform. Solving linear ODE wih piecewise coninuous righ hand sides In his lecure I will show how o apply he Laplace ransform o he ODE Ly = f wih piecewise coninuous f. Definiion. A funcion

More information

Risk Modelling of Collateralised Lending

Risk Modelling of Collateralised Lending Risk Modelling of Collaeralised Lending Dae: 4-11-2008 Number: 8/18 Inroducion This noe explains how i is possible o handle collaeralised lending wihin Risk Conroller. The approach draws on he faciliies

More information

Double Entry System of Accounting

Double Entry System of Accounting CHAPTER 2 Double Enry Sysem of Accouning Sysem of Accouning \ The following are he main sysem of accouning for recording he business ransacions: (a) Cash Sysem of Accouning. (b) Mercanile or Accrual Sysem

More information

Chapter 4: Exponential and Logarithmic Functions

Chapter 4: Exponential and Logarithmic Functions Chaper 4: Eponenial and Logarihmic Funcions Secion 4.1 Eponenial Funcions... 15 Secion 4. Graphs of Eponenial Funcions... 3 Secion 4.3 Logarihmic Funcions... 4 Secion 4.4 Logarihmic Properies... 53 Secion

More information

A One-Sector Neoclassical Growth Model with Endogenous Retirement. By Kiminori Matsuyama. Final Manuscript. Abstract

A One-Sector Neoclassical Growth Model with Endogenous Retirement. By Kiminori Matsuyama. Final Manuscript. Abstract A One-Secor Neoclassical Growh Model wih Endogenous Reiremen By Kiminori Masuyama Final Manuscrip Absrac This paper exends Diamond s OG model by allowing he agens o make he reiremen decision. Earning a

More information

MACROECONOMIC FORECASTS AT THE MOF A LOOK INTO THE REAR VIEW MIRROR

MACROECONOMIC FORECASTS AT THE MOF A LOOK INTO THE REAR VIEW MIRROR MACROECONOMIC FORECASTS AT THE MOF A LOOK INTO THE REAR VIEW MIRROR The firs experimenal publicaion, which summarised pas and expeced fuure developmen of basic economic indicaors, was published by he Minisry

More information

Chapter 6: Business Valuation (Income Approach)

Chapter 6: Business Valuation (Income Approach) Chaper 6: Business Valuaion (Income Approach) Cash flow deerminaion is one of he mos criical elemens o a business valuaion. Everyhing may be secondary. If cash flow is high, hen he value is high; if he

More information

Niche Market or Mass Market?

Niche Market or Mass Market? Niche Marke or Mass Marke? Maxim Ivanov y McMaser Universiy July 2009 Absrac The de niion of a niche or a mass marke is based on he ranking of wo variables: he monopoly price and he produc mean value.

More information

A Universal Pricing Framework for Guaranteed Minimum Benefits in Variable Annuities *

A Universal Pricing Framework for Guaranteed Minimum Benefits in Variable Annuities * A Universal Pricing Framework for Guaraneed Minimum Benefis in Variable Annuiies * Daniel Bauer Deparmen of Risk Managemen and Insurance, Georgia Sae Universiy 35 Broad Sree, Alana, GA 333, USA Phone:

More information

Term Structure of Prices of Asian Options

Term Structure of Prices of Asian Options Term Srucure of Prices of Asian Opions Jirô Akahori, Tsuomu Mikami, Kenji Yasuomi and Teruo Yokoa Dep. of Mahemaical Sciences, Risumeikan Universiy 1-1-1 Nojihigashi, Kusasu, Shiga 525-8577, Japan E-mail:

More information

A Note on Using the Svensson procedure to estimate the risk free rate in corporate valuation

A Note on Using the Svensson procedure to estimate the risk free rate in corporate valuation A Noe on Using he Svensson procedure o esimae he risk free rae in corporae valuaion By Sven Arnold, Alexander Lahmann and Bernhard Schwezler Ocober 2011 1. The risk free ineres rae in corporae valuaion

More information

cooking trajectory boiling water B (t) microwave 0 2 4 6 8 101214161820 time t (mins)

cooking trajectory boiling water B (t) microwave 0 2 4 6 8 101214161820 time t (mins) Alligaor egg wih calculus We have a large alligaor egg jus ou of he fridge (1 ) which we need o hea o 9. Now here are wo accepable mehods for heaing alligaor eggs, one is o immerse hem in boiling waer

More information

Debt management and optimal fiscal policy with long bonds 1

Debt management and optimal fiscal policy with long bonds 1 Deb managemen and opimal fiscal policy wih long bonds Elisa Faraglia 2 Alber Marce 3 and Andrew Sco 4 Absrac We sudy Ramsey opimal fiscal policy under incomplee markes in he case where he governmen issues

More information

WHAT ARE OPTION CONTRACTS?

WHAT ARE OPTION CONTRACTS? WHAT ARE OTION CONTRACTS? By rof. Ashok anekar An oion conrac is a derivaive which gives he righ o he holder of he conrac o do 'Somehing' bu wihou he obligaion o do ha 'Somehing'. The 'Somehing' can be

More information

DETERMINISTIC INVENTORY MODEL FOR ITEMS WITH TIME VARYING DEMAND, WEIBULL DISTRIBUTION DETERIORATION AND SHORTAGES KUN-SHAN WU

DETERMINISTIC INVENTORY MODEL FOR ITEMS WITH TIME VARYING DEMAND, WEIBULL DISTRIBUTION DETERIORATION AND SHORTAGES KUN-SHAN WU Yugoslav Journal of Operaions Research 2 (22), Number, 6-7 DEERMINISIC INVENORY MODEL FOR IEMS WIH IME VARYING DEMAND, WEIBULL DISRIBUION DEERIORAION AND SHORAGES KUN-SHAN WU Deparmen of Bussines Adminisraion

More information

PREMIUM INDEXING IN LIFELONG HEALTH INSURANCE

PREMIUM INDEXING IN LIFELONG HEALTH INSURANCE Far Eas Journal of Mahemaical Sciences (FJMS 203 Pushpa Publishing House, Allahabad, India Published Online: Sepember 203 Available online a hp://pphm.com/ournals/fms.hm Special Volume 203, Par IV, Pages

More information

One dictionary: Native language - English/English - native language or English - English

One dictionary: Native language - English/English - native language or English - English Faculy of Social Sciences School of Business Corporae Finance Examinaion December 03 English Dae: Monday 09 December, 03 Time: 4 hours/ 9:00-3:00 Toal number of pages including he cover page: 5 Toal number

More information

Random Walk in 1-D. 3 possible paths x vs n. -5 For our random walk, we assume the probabilities p,q do not depend on time (n) - stationary

Random Walk in 1-D. 3 possible paths x vs n. -5 For our random walk, we assume the probabilities p,q do not depend on time (n) - stationary Random Walk in -D Random walks appear in many cones: diffusion is a random walk process undersanding buffering, waiing imes, queuing more generally he heory of sochasic processes gambling choosing he bes

More information

Chapter 9 Bond Prices and Yield

Chapter 9 Bond Prices and Yield Chaper 9 Bond Prices and Yield Deb Classes: Paymen ype A securiy obligaing issuer o pay ineress and principal o he holder on specified daes, Coupon rae or ineres rae, e.g. 4%, 5 3/4%, ec. Face, par value

More information

The Impact of Surplus Distribution on the Risk Exposure of With Profit Life Insurance Policies Including Interest Rate Guarantees.

The Impact of Surplus Distribution on the Risk Exposure of With Profit Life Insurance Policies Including Interest Rate Guarantees. The Impac of Surplus Disribuion on he Risk Exposure of Wih Profi Life Insurance Policies Including Ineres Rae Guaranees Alexander Kling 1 Insiu für Finanz- und Akuarwissenschafen, Helmholzsraße 22, 89081

More information

Capital budgeting techniques

Capital budgeting techniques Capial budgeing echniques A reading prepared by Pamela Peerson Drake O U T L I N E 1. Inroducion 2. Evaluaion echniques 3. Comparing echniques 4. Capial budgeing in pracice 5. Summary 1. Inroducion The

More information

A Two-Account Life Insurance Model for Scenario-Based Valuation Including Event Risk Jensen, Ninna Reitzel; Schomacker, Kristian Juul

A Two-Account Life Insurance Model for Scenario-Based Valuation Including Event Risk Jensen, Ninna Reitzel; Schomacker, Kristian Juul universiy of copenhagen Universiy of Copenhagen A Two-Accoun Life Insurance Model for Scenario-Based Valuaion Including Even Risk Jensen, Ninna Reizel; Schomacker, Krisian Juul Published in: Risks DOI:

More information

The Impact of Surplus Distribution on the Risk Exposure of With Profit Life Insurance Policies Including Interest Rate Guarantees

The Impact of Surplus Distribution on the Risk Exposure of With Profit Life Insurance Policies Including Interest Rate Guarantees 1 The Impac of Surplus Disribuion on he Risk Exposure of Wih Profi Life Insurance Policies Including Ineres Rae Guaranees Alexander Kling Insiu für Finanz- und Akuarwissenschafen, Helmholzsraße 22, 89081

More information

Annuity Decisions with Systematic Longevity Risk

Annuity Decisions with Systematic Longevity Risk Annuiy Decisions wih Sysemaic Longeviy Risk Ralph Sevens This draf: November, 2009 ABSTRACT In his paper we invesigae he effec of sysemaic longeviy risk, i.e., he risk arising from uncerain fuure survival

More information

Betting on Death and Capital Markets in Retirement: A Shortfall Risk Analysis of Life Annuities versus Phased Withdrawal Plans

Betting on Death and Capital Markets in Retirement: A Shortfall Risk Analysis of Life Annuities versus Phased Withdrawal Plans Being on Deah and Capial Markes in Reiremen: A Shorfall Risk Analysis of Life Annuiies versus Phased Wihdrawal Plans Ivica Dus, Raimond Maurer, and Olivia S. Michell March 2004 Ivica Dus Johann Wolfgang

More information

LIFE INSURANCE WITH STOCHASTIC INTEREST RATE. L. Noviyanti a, M. Syamsuddin b

LIFE INSURANCE WITH STOCHASTIC INTEREST RATE. L. Noviyanti a, M. Syamsuddin b LIFE ISURACE WITH STOCHASTIC ITEREST RATE L. oviyani a, M. Syamsuddin b a Deparmen of Saisics, Universias Padjadjaran, Bandung, Indonesia b Deparmen of Mahemaics, Insiu Teknologi Bandung, Indonesia Absrac.

More information

Capital Budgeting and Initial Cash Outlay (ICO) Uncertainty

Capital Budgeting and Initial Cash Outlay (ICO) Uncertainty Financial Decisions, Summer 006, Aricle Capial Budgeing and Iniial Cash Oulay (ICO) Uncerainy Michael C. Ehrhard and John M. Wachowicz, Jr. * * The Paul and Beverly Casagna Professor of Finance and Professor

More information

Chapter 2 Problems. 3600s = 25m / s d = s t = 25m / s 0.5s = 12.5m. Δx = x(4) x(0) =12m 0m =12m

Chapter 2 Problems. 3600s = 25m / s d = s t = 25m / s 0.5s = 12.5m. Δx = x(4) x(0) =12m 0m =12m Chaper 2 Problems 2.1 During a hard sneeze, your eyes migh shu for 0.5s. If you are driving a car a 90km/h during such a sneeze, how far does he car move during ha ime s = 90km 1000m h 1km 1h 3600s = 25m

More information

I. Basic Concepts (Ch. 1-4)

I. Basic Concepts (Ch. 1-4) (Ch. 1-4) A. Real vs. Financial Asses (Ch 1.2) Real asses (buildings, machinery, ec.) appear on he asse side of he balance shee. Financial asses (bonds, socks) appear on boh sides of he balance shee. Creaing

More information

IMPLICIT OPTIONS IN LIFE INSURANCE CONTRACTS FROM OPTION PRICING TO THE PRICE OF THE OPTION. Tobias Dillmann * and Jochen Ruß **

IMPLICIT OPTIONS IN LIFE INSURANCE CONTRACTS FROM OPTION PRICING TO THE PRICE OF THE OPTION. Tobias Dillmann * and Jochen Ruß ** IMPLICIT OPTIONS IN LIFE INSURANCE CONTRACTS FROM OPTION PRICING TO THE PRICE OF THE OPTION Tobias Dillmann * and Jochen Ruß ** ABSTRACT Insurance conracs ofen include so-called implici or embedded opions.

More information

TEMPORAL PATTERN IDENTIFICATION OF TIME SERIES DATA USING PATTERN WAVELETS AND GENETIC ALGORITHMS

TEMPORAL PATTERN IDENTIFICATION OF TIME SERIES DATA USING PATTERN WAVELETS AND GENETIC ALGORITHMS TEMPORAL PATTERN IDENTIFICATION OF TIME SERIES DATA USING PATTERN WAVELETS AND GENETIC ALGORITHMS RICHARD J. POVINELLI AND XIN FENG Deparmen of Elecrical and Compuer Engineering Marquee Universiy, P.O.

More information

ACTUARIAL FUNCTIONS 1_05

ACTUARIAL FUNCTIONS 1_05 ACTUARIAL FUNCTIONS _05 User Guide for MS Office 2007 or laer CONTENT Inroducion... 3 2 Insallaion procedure... 3 3 Demo Version and Acivaion... 5 4 Using formulas and synax... 7 5 Using he help... 6 Noaion...

More information

Chapter 8: Regression with Lagged Explanatory Variables

Chapter 8: Regression with Lagged Explanatory Variables Chaper 8: Regression wih Lagged Explanaory Variables Time series daa: Y for =1,..,T End goal: Regression model relaing a dependen variable o explanaory variables. Wih ime series new issues arise: 1. One

More information

Network Effects, Pricing Strategies, and Optimal Upgrade Time in Software Provision.

Network Effects, Pricing Strategies, and Optimal Upgrade Time in Software Provision. Nework Effecs, Pricing Sraegies, and Opimal Upgrade Time in Sofware Provision. Yi-Nung Yang* Deparmen of Economics Uah Sae Universiy Logan, UT 84322-353 April 3, 995 (curren version Feb, 996) JEL codes:

More information

The Interaction of Guarantees, Surplus Distribution, and Asset Allocation in With Profit Life Insurance Policies

The Interaction of Guarantees, Surplus Distribution, and Asset Allocation in With Profit Life Insurance Policies 1 The Ineracion of Guaranees, Surplus Disribuion, and Asse Allocaion in Wih Profi Life Insurance Policies Alexander Kling * Insiu für Finanz- und Akuarwissenschafen, Helmholzsr. 22, 89081 Ulm, Germany

More information

Single-machine Scheduling with Periodic Maintenance and both Preemptive and. Non-preemptive jobs in Remanufacturing System 1

Single-machine Scheduling with Periodic Maintenance and both Preemptive and. Non-preemptive jobs in Remanufacturing System 1 Absrac number: 05-0407 Single-machine Scheduling wih Periodic Mainenance and boh Preempive and Non-preempive jobs in Remanufacuring Sysem Liu Biyu hen Weida (School of Economics and Managemen Souheas Universiy

More information

Time Consisency in Porfolio Managemen

Time Consisency in Porfolio Managemen 1 Time Consisency in Porfolio Managemen Traian A Pirvu Deparmen of Mahemaics and Saisics McMaser Universiy Torono, June 2010 The alk is based on join work wih Ivar Ekeland Time Consisency in Porfolio Managemen

More information

The naive method discussed in Lecture 1 uses the most recent observations to forecast future values. That is, Y ˆ t + 1

The naive method discussed in Lecture 1 uses the most recent observations to forecast future values. That is, Y ˆ t + 1 Business Condiions & Forecasing Exponenial Smoohing LECTURE 2 MOVING AVERAGES AND EXPONENTIAL SMOOTHING OVERVIEW This lecure inroduces ime-series smoohing forecasing mehods. Various models are discussed,

More information

Market Analysis and Models of Investment. Product Development and Whole Life Cycle Costing

Market Analysis and Models of Investment. Product Development and Whole Life Cycle Costing The Universiy of Liverpool School of Archiecure and Building Engineering WINDS PROJECT COURSE SYNTHESIS SECTION 3 UNIT 11 Marke Analysis and Models of Invesmen. Produc Developmen and Whole Life Cycle Cosing

More information

Optimal Monetary Policy When Lump-Sum Taxes Are Unavailable: A Reconsideration of the Outcomes Under Commitment and Discretion*

Optimal Monetary Policy When Lump-Sum Taxes Are Unavailable: A Reconsideration of the Outcomes Under Commitment and Discretion* Opimal Moneary Policy When Lump-Sum Taxes Are Unavailable: A Reconsideraion of he Oucomes Under Commimen and Discreion* Marin Ellison Dep of Economics Universiy of Warwick Covenry CV4 7AL UK m.ellison@warwick.ac.uk

More information

This page intentionally left blank

This page intentionally left blank This page inenionally lef blank Marke-Valuaion Mehods in Life and Pension Insurance In classical life insurance mahemaics, he obligaions of he insurance company owards he policy holders were calculaed

More information

Differential Equations in Finance and Life Insurance

Differential Equations in Finance and Life Insurance Differenial Equaions in Finance and Life Insurance Mogens Seffensen 1 Inroducion The mahemaics of finance and he mahemaics of life insurance were always inersecing. Life insurance conracs specify an exchange

More information

DOES TRADING VOLUME INFLUENCE GARCH EFFECTS? SOME EVIDENCE FROM THE GREEK MARKET WITH SPECIAL REFERENCE TO BANKING SECTOR

DOES TRADING VOLUME INFLUENCE GARCH EFFECTS? SOME EVIDENCE FROM THE GREEK MARKET WITH SPECIAL REFERENCE TO BANKING SECTOR Invesmen Managemen and Financial Innovaions, Volume 4, Issue 3, 7 33 DOES TRADING VOLUME INFLUENCE GARCH EFFECTS? SOME EVIDENCE FROM THE GREEK MARKET WITH SPECIAL REFERENCE TO BANKING SECTOR Ahanasios

More information

MULTI-PERIOD OPTIMIZATION MODEL FOR A HOUSEHOLD, AND OPTIMAL INSURANCE DESIGN

MULTI-PERIOD OPTIMIZATION MODEL FOR A HOUSEHOLD, AND OPTIMAL INSURANCE DESIGN Journal of he Operaions Research Sociey of Japan 27, Vol. 5, No. 4, 463-487 MULTI-PERIOD OPTIMIZATION MODEL FOR A HOUSEHOLD, AND OPTIMAL INSURANCE DESIGN Norio Hibiki Keio Universiy (Received Ocober 17,

More information

INTEREST RATE FUTURES AND THEIR OPTIONS: SOME PRICING APPROACHES

INTEREST RATE FUTURES AND THEIR OPTIONS: SOME PRICING APPROACHES INTEREST RATE FUTURES AND THEIR OPTIONS: SOME PRICING APPROACHES OPENGAMMA QUANTITATIVE RESEARCH Absrac. Exchange-raded ineres rae fuures and heir opions are described. The fuure opions include hose paying

More information

Annuiy Choices and Longeviy Bonds: A Different Approach

Annuiy Choices and Longeviy Bonds: A Different Approach Annuiy Choices and Longeviy Bonds: A Developing Counry Applicaion (Draf Paper. April 30, 2014) José Luis Ruiz 1 Faculy of Economics and Business, Universiy of Chile, Diagonal Paraguay 257, Saniago 8330015,

More information