Edmond Halley s Life Table and Its Uses *

Size: px
Start display at page:

Download "Edmond Halley s Life Table and Its Uses *"

Transcription

1 James E. Ciecka Edmond Halley s Life Table and Is Uses. Journal of Legal Economics 5(): pp Edmond Halley s Life Table and Is Uses * Edmond Halley ( ) was a remarkable man of science who made imporan conribuions in asronomy, mahemaics, physics, financial economics, and acuarial science. Halley was forunae o have been born ino a wealhy family and o have had a faher who provided for a firs-rae educaion for his son. Halley enrolled in Oford Universiy a age 7, sayed for hree years and, wihou a degree in hand, se sail for S. Helena in he souh Alanic o observe and caalogue sars unobservable from Europe. The voyage ook wo years and, upon his reurn o London, he was eleced o he Royal Sociey a age 22 for his S. Helena work. Halley became he edior of Philosophical Transacions (he journal of he Royal Sociey), an Oford professor from , and Asronomer Royal a Greenwich from 720 o his deah. Isaac Newon and Halley were friends, and he urged Newon o wrie wha became he Principia Mahemaica and assised financially and ediorially in is publicaion. Halley ploed he orbis of several comes. In paricular, he conjecured ha objecs ha appeared in 53, 607, and 682 were one and he same come ha would reappear approimaely every 75 years. He correcly prediced ha he come would reurn in 758, and i was poshumously named in his honor afer is reappearance a he prediced ime. Halley made wo forays ino financial economics, demography, and acuarial science. The second work (705, 77) was on compound ineres. He derived formulae for approimaing he annual percenage rae of ineres implici in financial ransacions and annuiies. His firs conribuion (693) was seminal and is he opic of his noe. In his work, Halley developed he firs life able based on sound demographic daa; and he discussed several applicaions of his life able, including calculaions of life coningencies. Halley obained demographic daa for Breslau, a ciy in Silesia which is now he Polish ciy Wroclaw. Breslau kep deailed records of birhs, deahs, and he ages of people when hey died. In comparison, when John Graun ( ) published his famous demographic work (662), ages of deceased people were no recorded in London and would no be re- * James E. Ciecka, Professor, Deparmen of Economics, DePaul Universiy, Eas Jackson Boulevard, Chicago IL, Phone: , [email protected]. I wish o hank Gary R. Skoog for reading his noe, suggesing improvemens, and many pleasan hours discussing mahemaics, acuarial science, and forensic economics. Ciecka: Edmond Halley s Life Table and Is Uses 65

2 corded unil he 8 h cenury. Caspar Neumann, an imporan German miniser in Breslau, sen some demographic records o Gofried Leibniz who in urn sen hem o he Royal Sociey in London. Halley analyzed Newmann s daa which covered he years and published he analysis in he Philosophical Transacions. Alhough Halley had broad ineress, demography and acuarial science were quie far afield from his main areas of sudy. Hald (2003) has speculaed ha Halley himself analyzed hese daa because, as he edior of he Philosophical Transacions, he was concerned abou he Transacions publishing an adequae number of qualiy papers. 2 Apparenly, by doing he work himself, he ensured ha one more high qualiy paper would be published. The Breslau daa had he propery ha annual birhs were approimaely equal o deahs, 3 here was lile migraion in or ou of he ciy, and age specific deah raes were approimaely consan; ha is, Breslau had an approimaely saionary populaion. Afer some adjusmens and smoohing of he daa, Halley produced a combined able of male and female survivors; here reproduced as Table. He deermined he populaion was approimaely 34,000 people. To eplain his able, le l denoe he size of a populaion a eac age = 0,,2,,ω, where ω is he younges age a which everyone in he populaion has died, hen L =.5( l l ) capures he average number alive beween ages and ; or, alernaively, he number of years lived by members of he populaion beween ages and. Halley s life able gives L ; so, for eample, he very firs enry (for age = ) is L = L = L0 =.5( l0 l ) = 000, he average number of people alive beween ages zero and one. 4 Figure is he graph of Halley s able; and, for purposes of comparison, we also show he life able for he US in 2004 (CDCP, 2007). Halley made seven observaions and used his life able o eemplify hose observaions. John Graun developed a life able in 662 based on London s bills of moraliy, bu he engaged in a grea deal of guess work because age a deah was unrecorded and because London s populaion was growing in an un-quanified manner due o migraion. 2 Wihou arguing in suppor or agains Hald in his regard, we noe ha he same issue of Philosophical Transacions conained papers by he grea chemis/physicis Rober Boyle and he noed mahemaician John Wallis. 3 There was a small increase in populaion. As Halley pu i an increase of he people may be argued of 64 per annum. Here, Halley menions ha ecess birhs may perhaps be balanced by he levies of he emperor s service in his wars. 4 Table has a radi of 000. The Breslau daa had l 0 = 238 and l = 890, implying L 0 = 064. Halley seems o have rounded o 000 for convenience. Journal of Legal Economics 66 Volume 5, Number, Augus 2008, pp

3 Table. Halley s Life Table Age L Age L Age L Age L Toal Figure. Halley's 693 Breslau and 2004 US Populaion Survivor Funcions L Age Ciecka: Edmond Halley s Life Table and Is Uses 67

4 Firs, Halley looked a his able from a miliary poin of view (perhaps because Graun did eacly he same hing in 662) and calculaed he proporion of men able o bear arms. He compued he number of people beween he ages of 8 and 56, divided by wo o esimae he number of men, and epressed he laer number as a fracion of he enire populaion of 34,000 people. Halley s approimae answer was 9/34 or abou.26 of he populaion (see Table ). If one were o make a similar calculaion using he curren US life able illusraed in Figure, he corresponding fracion is.24. Lile has changed since Halley s ime in his regard even hough Figure illusraes wo very differen life ables. Second, Halley compued survival odds beween ages using L /( L L ). He gave an eample of 377 o 68 or 5.5 o for a man age 40 living o age 47 (see Table ). Third, Halley compued he age, o which i is an even wager ha a person of he age proposed shall arrive before he die. Tha is, Halley calculaed he median addiional years of life. He gave an eample for a 30 year old. There are 53 survivors a ha age and half ha many beween ages 57 and 58 (see Table ). Therefore, Halley s median was beween 27 and 28 years. Halley made no life epecancy calculaions. Fourh, in one raher long senence, Halley menioned ha he price of erm insurance ough o be regulaed, and is price relaed o he odds of survival. He poined ou ha he odds of one year survival were 00 o ha a man of 20 dies no in a year, and bu 38 o for a man of 50 years of age. Halley s poin is clear, bu here is a ypographical error in he paper because he odds of survival for a 50 year old are approimaely 30 o (see Table ). Fifh, Halley did no give an eplici mahemaical formula for a life annuiy, bu he provided e and eample calculaions ha clearly showed ha he used he following formula: 5 () ω = = a ( i) (L / L ). Halley calculaed life annuiies wih a 6% discoun rae and provided he epeced presen values shown in Table 2. The Years Purchase Columns are he epeced presen values of life annuiies of one pound. Halley noed ha he Briish governmen sold annuiies for seven years purchase regard- 5 Afer some re-wriing, Halley s life annuiy formula is similar o Jan De Wi s (67) formula as shown in he Appendi. Journal of Legal Economics 68 Volume 5, Number, Augus 2008, pp

5 less of ages of nominees. Table 2 shows his was abou half he value of an annuiy on 5, 0, or 5-year-old nominees and poor governmenal policy for all nominees under age 60, bu he Briish governmen did no change is single-price policy afer Halley s work. Table 2. Halley s Life Annuiy Table Age Years Years Years Age Age Purchase Purchase Purchase Sih, Halley urned his aenion o a join life annuiy on wo lives. He used a recangle wih lengh L and heigh Ly o represen lives age and y. In conemporary noaion, le L L D and L y L y D y, where Dand D y denoe deahs from L and Ly wihin years. The produc of L and L is y LL = L L L D L D D D. (2a) y y y y y The lef side of (2a) represens he area of Halley s recangle which he calls he oal number of chances. Halley gave he eample from Table for = 8 and y = 35 and said []here are in all or 298,900 chances. Halley coninued he eample for = 8 and said ha he number of chances was or 3650 ha hey are boh dead, which is he las erm of he righ hand side of (2a). This gives us LL D D = L L L D L D (2b) y y y y y (2c) ( D D / LL) = (/ LL)( L L L D L D) y y y y y y where (2c) is he probabiliy of a leas one life surviving. The life annuiy ha pays when a leas one of wo nominees survives becomes Ciecka: Edmond Halley s Life Table and Is Uses 69

6 (3) ω y = y y = a ( i) ( D D / L L ). Halley did no provide any numerical eamples of annuiy calculaions in his par of his paper. Sevenh, Halley considered he problem of annuiies on hree lives. He drew a complicaed looking hree dimensional figure which is he eension of he recangle he previously considered. The dimensions of his new figure, in modern noaion, are L L D, Ly Ly Dy, and Lz Lz Dz. The produc LLL y z = ( L D)( Ly Dy)( Lz Dz) has eigh erms ha correspond o various living and deah saes for hree lives. A his poin, Halley compued he value of a life annuiy ha pays whenever a leas one of he hree nominees is alive wih a formula like (4) ω yz = y z y z = a ( i) ( D D D / L L L ). He gave an eample where = 0, y =30, and z = 40 and concluded such an annuiy was worh years purchase. Finally, Halley alked abou a reversionary annuiy on he younges life age afer he older lives ages y and z. Tha is, he annuiy pays he younges nominee afer he older nominees die. The value of his annuiy is (5) ω a = ( i) ( L Dy Dz/ LLyLz) yz. = A his poin Halley seemed o ire of he laborious calculaions involved in formula (5) and he concluded his paper. To summarize, here is wha we can say abou Halley s paper: () we sill use life ables similar o he one he developed and (2) we sill make calculaions of life coningencies as he did. The main difference beween Halley and modern work lies in Halley s use of he average survivors beween ages (i.e., L, L,..., L ω ) raher han survivors a eac ages ( l, l,..., l ω ), alhough some (e.g., Poiras, 2000) inerpre Halley as using survivors a eac ages. In eiher case, Halley wroe a remarkable paper 300 years ago; formulae (), (3), (4), and (5) are especially insighful. Halley refleced on his paper in a posscrip. Four addiional paragraphs appear like a coda which he eniled Some Furher Consideraions on he Breslau Bills of Moraliy. Halley mused abou how unjusly we Journal of Legal Economics 70 Volume 5, Number, Augus 2008, pp

7 repine a he shorness of our lives and hink ourselves wronged if we aain no old age. Afer observing ha only abou half of Breslau s,238 newly born children survive 7 years, Halley added ha we should no fre abou unimely deah bu raher submi o ha dissoluion which is he necessary condiion of our perishable maerials. He concluded his rain of hough by observing he blessing we have received if we have lived more han he median years of life a birh. Halley s second, and las, commen deal wih human feriliy. He calculaed approimaely 5,000 persons beween ages 6 and 45 (see Table ) and esimaed ha a leas 7,000 were women capable o bear children. He reckoned ha,238 birhs relaive o 7,000 ferile women were bu lile more han a sih par. If all women in his age group were married, Halley hough four of si should bring a child every year. Celibacy was o be discouraged and large families encouraged because he srengh and glory of a king was in direc proporion o he magniude of his subjecs. Halley concluded wih a carro and sick policy prescripion: he sick par was ha celibacy should be discouraged hrough eraordinary aing and miliary service, and he carro was ha large families should be encouraged hrough sociey finding employmen for poor people and hrough laws such as he jus rium liberorum among he Romans. 6 James E. Ciecka 6 Augusus Caesar graned cerain privileges o fahers of hree or more children. These privileges were known by he erm jus rium liberorum. Thomas Malhus menioned hese laws in An Essay on he Principle of Populaion (798) as being ineffecive among poorer classes and of some minor influence on higher classes of Roman ciizens. Ciecka: Edmond Halley s Life Table and Is Uses 7

8 References Cener for Disease Conrol and Prevenion, U.S. Deparmen of Healh and Human Services, Naional Vial Saisics Repors, Unied Saes Life Tables, 2004, Volume 56, Number 9, Table, December, 2007, Hyasville, MD. De Wi, Jan, Value of Life Annuiies in Proporion o Redeemable Annuiies, 67, published in Duch wih an English ranslaion in Hendricks (852, 853). Graun, John, Naural and Poliical Observaions Made upon he Bills of Moraliy, Firs Ediion, 662; Fifh Ediion 676. Hald, Anders, Hisory of Probabiliy and Saisics and Their Applicaions before 750, Hoboken, NJ : John Wiley and Sons, Inc, Halley, Edmund, An Esimae of he Degrees of Moraliy of Mankind, Drawn from he Curious Tables of he Birhs and Funerals a he Ciy of Breslaw, wih an Aemp o Ascerain he Price of Annuiies upon Lives, Philosophical Transacions, Volume 7, 693, pp , Mahemaical Tables Conrived afer a Mos Comprehensive Mehod, by Henry Sherwin, 77. Google Digiized Images. Hendricks, F., Conribuions of he Hisory of Insurance and he Theory of Life Coningencies, The Assurance Magazine 2, 852, pp and ; The Assurance Magazine 3, 853, pp Malhus, Thomas Rober, An Essay on he Principle of Populaion, UK: John Murray, 6 h Ediion, 826. Poiras, Geoffrey, The Early Hisory of Financial Economics, , Chelenham, UK: Edward Elgar, Journal of Legal Economics 72 Volume 5, Number, Augus 2008, pp

9 Appendi We can ge close o Halley s life annuiy formula () from Jan de Wi s formula as shown in (A)-(A5). De Wi (67; Hendricks, 852 and 853) used he disribuion of deahs d = l l in his formula for he epeced presen value of a life annuiy; here wrien as he lef hand side of formula (A). (A) ω Ea ( ) = a( d / l) = T = ω = j= j ( i) ( d / l ) = [( i) ]( d / l) 2 (A2) [( i) ( i) ]( d 2 / l) 2 3 [( i) ( i) ( i) ]( d 3 / l) 2 ( ω ) [( i) ( i) ( i) ]( d / l ) = [( i) ]( d d 2 d 3 dω ) / l 2 (A3) [( i) ]( d 2 d 3 dω ) / l 3 [( i) ]( d d ) / l ω 3 ω ( ω ) [( i) ]( dω ) / l = [( i) ]( l ) / l 2 (A4) [( i) ]( l 2) / l 3 [( i) ]( l ) / l 3 ( ω ) [( i) ]( lω ) / l (A5) = w = ( i) ( l / l ) Ciecka: Edmond Halley s Life Table and Is Uses 73

10 In going from he lef o he righ hand side of (A), we simply use he definiion j= ( ) j a i. Summaions are epanded in (A2) and hen re-grouped in (A3). (A4) uses he propery ha he coefficien of ( i) is ( d d... d ) / l = l / l. 7 2 ω 2 Similarly, he coefficien of ( i i) sums o ( d 2... dω ) / l = l 2 / l, 3 he coefficien of ( i i) is ( d 3... dω ) / l = l 3 / l, and so on, unil we ( ) ge o he las erm ( i i) w wih coefficien ( dω )/ l = lω / l. Formula (A5) becomes Halley s life annuiy (formula ()) when we subsiue he average number of survivors beween ages for he number alive a eac ages. Tha is, Halley used L, L,..., L ω and de Wi usedl, l,..., l ω. Halley published in 693, some 22 years afer de Wi; bu here is no informaion ha Halley was aware of de Wi s work. De Wi s formulaion emphasizes he epeced presen value naure of a life annuiy and uses he disribuion of deahs d / l,, d / l ω. Halley uses he survivor disribuion L / L,, L / L ω. De Wi s formulaion allows one o compue higher order momens bu Halley s does no. However, Halley s formulaion, wih he subsiuion of l, l,..., l ω for L, L,..., L ω, has become he much more widely used mehod. 7 The number of people alive a age is l. Since all mus evenually die, we have ( d d 2... dω ) = l. A similar idea holds for all ages; all people alive a a cerain age will evenually die and he sum of hose deahs equals he number alive a ha age. Journal of Legal Economics 74 Volume 5, Number, Augus 2008, pp

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

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

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

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

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

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

The First Mathematically Correct Life Annuity Valuation Formula *

The First Mathematically Correct Life Annuity Valuation Formula * James E. Ciecka. 008. he Firs Mahemaicay Correc Life Annuiy. Journa of Lega Economics 5(): pp. 59-63. he Firs Mahemaicay Correc Life Annuiy Vauaion Formua * he sory of he firs acuariay correc specificaion

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

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

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

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

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

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

Appendix A: Area. 1 Find the radius of a circle that has circumference 12 inches.

Appendix A: Area. 1 Find the radius of a circle that has circumference 12 inches. Appendi A: Area worked-ou s o Odd-Numbered Eercises Do no read hese worked-ou s before aemping o do he eercises ourself. Oherwise ou ma mimic he echniques shown here wihou undersanding he ideas. Bes wa

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

Return Calculation of U.S. Treasury Constant Maturity Indices

Return Calculation of U.S. Treasury Constant Maturity Indices Reurn Calculaion of US Treasur Consan Mauri Indices Morningsar Mehodolog Paper Sepeber 30 008 008 Morningsar Inc All righs reserved The inforaion in his docuen is he proper of Morningsar Inc Reproducion

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

Chapter 2 Kinematics in One Dimension

Chapter 2 Kinematics in One Dimension Chaper Kinemaics in One Dimension Chaper DESCRIBING MOTION:KINEMATICS IN ONE DIMENSION PREVIEW Kinemaics is he sudy of how hings moe how far (disance and displacemen), how fas (speed and elociy), and how

More information

1 HALF-LIFE EQUATIONS

1 HALF-LIFE EQUATIONS R.L. Hanna Page HALF-LIFE EQUATIONS The basic equaion ; he saring poin ; : wrien for ime: x / where fracion of original maerial and / number of half-lives, and / log / o calculae he age (# ears): age (half-life)

More information

Measuring macroeconomic volatility Applications to export revenue data, 1970-2005

Measuring macroeconomic volatility Applications to export revenue data, 1970-2005 FONDATION POUR LES ETUDES ET RERS LE DEVELOPPEMENT INTERNATIONAL Measuring macroeconomic volailiy Applicaions o expor revenue daa, 1970-005 by Joël Cariolle Policy brief no. 47 March 01 The FERDI is a

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

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

How To Calculate Price Elasiciy Per Capia Per Capi

How To Calculate Price Elasiciy Per Capia Per Capi Price elasiciy of demand for crude oil: esimaes for 23 counries John C.B. Cooper Absrac This paper uses a muliple regression model derived from an adapaion of Nerlove s parial adjusmen model o esimae boh

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

The Greek financial crisis: growing imbalances and sovereign spreads. Heather D. Gibson, Stephan G. Hall and George S. Tavlas

The Greek financial crisis: growing imbalances and sovereign spreads. Heather D. Gibson, Stephan G. Hall and George S. Tavlas The Greek financial crisis: growing imbalances and sovereign spreads Heaher D. Gibson, Sephan G. Hall and George S. Tavlas The enry The enry of Greece ino he Eurozone in 2001 produced a dividend in he

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

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

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

Motion Along a Straight Line

Motion Along a Straight Line Moion Along a Sraigh Line On Sepember 6, 993, Dave Munday, a diesel mechanic by rade, wen over he Canadian edge of Niagara Falls for he second ime, freely falling 48 m o he waer (and rocks) below. On his

More information

Mortality Variance of the Present Value (PV) of Future Annuity Payments

Mortality Variance of the Present Value (PV) of Future Annuity Payments Morali Variance of he Presen Value (PV) of Fuure Annui Pamens Frank Y. Kang, Ph.D. Research Anals a Frank Russell Compan Absrac The variance of he presen value of fuure annui pamens plas an imporan role

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

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

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

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

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

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

GoRA. For more information on genetics and on Rheumatoid Arthritis: Genetics of Rheumatoid Arthritis. Published work referred to in the results:

GoRA. For more information on genetics and on Rheumatoid Arthritis: Genetics of Rheumatoid Arthritis. Published work referred to in the results: For more informaion on geneics and on Rheumaoid Arhriis: Published work referred o in he resuls: The geneics revoluion and he assaul on rheumaoid arhriis. A review by Michael Seldin, Crisopher Amos, Ryk

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, [email protected] Camilla Bergeling +46 8 506 942 06, [email protected]

More information

CHARGE AND DISCHARGE OF A CAPACITOR

CHARGE AND DISCHARGE OF A CAPACITOR REFERENCES RC Circuis: Elecrical Insrumens: Mos Inroducory Physics exs (e.g. A. Halliday and Resnick, Physics ; M. Sernheim and J. Kane, General Physics.) This Laboraory Manual: Commonly Used Insrumens:

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

An Optimal Strategy of Natural Hedging for. a General Portfolio of Insurance Companies

An Optimal Strategy of Natural Hedging for. a General Portfolio of Insurance Companies An Opimal Sraegy of Naural Hedging for a General Porfolio of Insurance Companies Hong-Chih Huang 1 Chou-Wen Wang 2 De-Chuan Hong 3 ABSTRACT Wih he improvemen of medical and hygienic echniques, life insurers

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

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

Permutations and Combinations

Permutations and Combinations Permuaions and Combinaions Combinaorics Copyrigh Sandards 006, Tes - ANSWERS Barry Mabillard. 0 www.mah0s.com 1. Deermine he middle erm in he expansion of ( a b) To ge he k-value for he middle erm, divide

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

Signal Processing and Linear Systems I

Signal Processing and Linear Systems I Sanford Universiy Summer 214-215 Signal Processing and Linear Sysems I Lecure 5: Time Domain Analysis of Coninuous Time Sysems June 3, 215 EE12A:Signal Processing and Linear Sysems I; Summer 14-15, Gibbons

More information

Making Use of Gate Charge Information in MOSFET and IGBT Data Sheets

Making Use of Gate Charge Information in MOSFET and IGBT Data Sheets Making Use of ae Charge Informaion in MOSFET and IBT Daa Shees Ralph McArhur Senior Applicaions Engineer Advanced Power Technology 405 S.W. Columbia Sree Bend, Oregon 97702 Power MOSFETs and IBTs have

More information

Supplementary Appendix for Depression Babies: Do Macroeconomic Experiences Affect Risk-Taking?

Supplementary Appendix for Depression Babies: Do Macroeconomic Experiences Affect Risk-Taking? Supplemenary Appendix for Depression Babies: Do Macroeconomic Experiences Affec Risk-Taking? Ulrike Malmendier UC Berkeley and NBER Sefan Nagel Sanford Universiy and NBER Sepember 2009 A. Deails on SCF

More information

Finance and Economics Discussion Series Divisions of Research & Statistics and Monetary Affairs Federal Reserve Board, Washington, D.C.

Finance and Economics Discussion Series Divisions of Research & Statistics and Monetary Affairs Federal Reserve Board, Washington, D.C. Finance and Economics Discussion Series Divisions of Research & Saisics and Moneary Affairs Federal Reserve Board, Washingon, D.C. The Effecs of Unemploymen Benefis on Unemploymen and Labor Force Paricipaion:

More information

AP Calculus BC 2010 Scoring Guidelines

AP Calculus BC 2010 Scoring Guidelines AP Calculus BC 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, he College Board

More information

Name: Algebra II Review for Quiz #13 Exponential and Logarithmic Functions including Modeling

Name: Algebra II Review for Quiz #13 Exponential and Logarithmic Functions including Modeling Name: Algebra II Review for Quiz #13 Exponenial and Logarihmic Funcions including Modeling TOPICS: -Solving Exponenial Equaions (The Mehod of Common Bases) -Solving Exponenial Equaions (Using Logarihms)

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

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

The Application of Multi Shifts and Break Windows in Employees Scheduling

The Application of Multi Shifts and Break Windows in Employees Scheduling The Applicaion of Muli Shifs and Brea Windows in Employees Scheduling Evy Herowai Indusrial Engineering Deparmen, Universiy of Surabaya, Indonesia Absrac. One mehod for increasing company s performance

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

New York population projection by age and sex

New York population projection by age and sex New York populaion projecion by and se Couny Projecions 2005-2035 Model descripion Jan K. Vink Program on Applied Demographics Cornell Universiy May, 2009 Program on Applied Demographics Web: hp://pad.human.cornell.edu

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

Equities: Positions and Portfolio Returns

Equities: Positions and Portfolio Returns Foundaions of Finance: Equiies: osiions and orfolio Reurns rof. Alex Shapiro Lecure oes 4b Equiies: osiions and orfolio Reurns I. Readings and Suggesed racice roblems II. Sock Transacions Involving Credi

More information

Conceptually calculating what a 110 OTM call option should be worth if the present price of the stock is 100...

Conceptually calculating what a 110 OTM call option should be worth if the present price of the stock is 100... Normal (Gaussian) Disribuion Probabiliy De ensiy 0.5 0. 0.5 0. 0.05 0. 0.9 0.8 0.7 0.6? 0.5 0.4 0.3 0. 0. 0 3.6 5. 6.8 8.4 0.6 3. 4.8 6.4 8 The Black-Scholes Shl Ml Moel... pricing opions an calculaing

More information

The Economic Value of Medical Research

The Economic Value of Medical Research The Economic Value of Medical Research Kevin M. Murphy Rober Topel Universiy of Chicago Universiy of Chicago March 1998 Revised Sepember, 1999 Absrac Basic research is a public good, for which social reurns

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

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

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

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

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

Research. Michigan. Center. Retirement. Behavioral Effects of Social Security Policies on Benefit Claiming, Retirement and Saving.

Research. Michigan. Center. Retirement. Behavioral Effects of Social Security Policies on Benefit Claiming, Retirement and Saving. Michigan Universiy of Reiremen Research Cener Working Paper WP 2012-263 Behavioral Effecs of Social Securiy Policies on Benefi Claiming, Reiremen and Saving Alan L. Gusman and Thomas L. Seinmeier M R R

More information

Nikkei Stock Average Volatility Index Real-time Version Index Guidebook

Nikkei Stock Average Volatility Index Real-time Version Index Guidebook Nikkei Sock Average Volailiy Index Real-ime Version Index Guidebook Nikkei Inc. Wih he modificaion of he mehodology of he Nikkei Sock Average Volailiy Index as Nikkei Inc. (Nikkei) sars calculaing and

More information

Acceleration Lab Teacher s Guide

Acceleration Lab Teacher s Guide Acceleraion Lab Teacher s Guide Objecives:. Use graphs of disance vs. ime and velociy vs. ime o find acceleraion of a oy car.. Observe he relaionship beween he angle of an inclined plane and he acceleraion

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

CHAPTER FIVE. Solutions for Section 5.1

CHAPTER FIVE. Solutions for Section 5.1 CHAPTER FIVE 5. SOLUTIONS 87 Soluions for Secion 5.. (a) The velociy is 3 miles/hour for he firs hours, 4 miles/hour for he ne / hour, and miles/hour for he las 4 hours. The enire rip lass + / + 4 = 6.5

More information

How to calculate effect sizes from published research: A simplified methodology

How to calculate effect sizes from published research: A simplified methodology WORK-LEARNING RESEARCH How o alulae effe sizes from published researh: A simplified mehodology Will Thalheimer Samanha Cook A Publiaion Copyrigh 2002 by Will Thalheimer All righs are reserved wih one exepion.

More information

CAREER MAP HOME HEALTH AIDE

CAREER MAP HOME HEALTH AIDE CAREER MAP HOME HEALTH AIDE CAREER MAP HOME HEALTH AIDE Home healh aides are one of he fases growing jobs in New York Ciy. Wih more educaion, home healh aides can move ino many oher ypes of jobs in healh

More information

COMPUTATION OF CENTILES AND Z-SCORES FOR HEIGHT-FOR-AGE, WEIGHT-FOR-AGE AND BMI-FOR-AGE

COMPUTATION OF CENTILES AND Z-SCORES FOR HEIGHT-FOR-AGE, WEIGHT-FOR-AGE AND BMI-FOR-AGE COMPUTATION OF CENTILES AND Z-SCORES FOR HEIGHT-FOR-AGE, WEIGHT-FOR-AGE AND BMI-FOR-AGE The mehod used o consruc he 2007 WHO references relied on GAMLSS wih he Box-Cox power exponenial disribuion (Rigby

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

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: [email protected]

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

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

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

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

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

Factors Affecting Initial Enrollment Intensity: Part-Time versus Full-Time Enrollment

Factors Affecting Initial Enrollment Intensity: Part-Time versus Full-Time Enrollment acors Affecing Iniial Enrollmen Inensiy: ar-time versus ull-time Enrollmen By Leslie S. Sraon Associae rofessor Dennis M. O Toole Associae rofessor James N. Wezel rofessor Deparmen of Economics Virginia

More information

Usefulness of the Forward Curve in Forecasting Oil Prices

Usefulness of the Forward Curve in Forecasting Oil Prices Usefulness of he Forward Curve in Forecasing Oil Prices Akira Yanagisawa Leader Energy Demand, Supply and Forecas Analysis Group The Energy Daa and Modelling Cener Summary When people analyse oil prices,

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

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

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

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

Debt Accumulation, Debt Reduction, and Debt Spillovers in Canada, 1974-98*

Debt Accumulation, Debt Reduction, and Debt Spillovers in Canada, 1974-98* Deb Accumulaion, Deb Reducion, and Deb Spillovers in Canada, 1974-98* Ron Kneebone Deparmen of Economics Universiy of Calgary John Leach Deparmen of Economics McMaser Universiy Ocober, 2000 Absrac Wha

More information

PREMIUM RATES FOR YIELD GUARANTEE AND INCOME PROTECTION CROP INSURANCE FOR GEORGIA AND SOUTH CAROLINA PEACHES*

PREMIUM RATES FOR YIELD GUARANTEE AND INCOME PROTECTION CROP INSURANCE FOR GEORGIA AND SOUTH CAROLINA PEACHES* PREMUM RATES FOR ELD GUARANTEE AND NCOME PROTECTON CROP NSURANCE FOR GEORGA AND SOUTH CAROLNA PEACHES* Sephen E. Miller, Kandice H. Kahl, and P. James Rahwell** * Paper presened a he Annual Meeing of he

More information

Disability Insurance Applications near Retirement Age

Disability Insurance Applications near Retirement Age Preliminary Disabiliy Insurance Applicaions near Reiremen Age Hugo Beníez-Silva SUNY-Sony Brook Na Yin Baruch College, CUNY Sepember 2011 Absrac The lieraure esimaing he effec of benefi levels on he Social

More information

Journal Of Business & Economics Research September 2005 Volume 3, Number 9

Journal Of Business & Economics Research September 2005 Volume 3, Number 9 Opion Pricing And Mone Carlo Simulaions George M. Jabbour, (Email: [email protected]), George Washingon Universiy Yi-Kang Liu, ([email protected]), George Washingon Universiy ABSTRACT The advanage of Mone Carlo

More information

Fifth Quantitative Impact Study of Solvency II (QIS 5) National guidance on valuation of technical provisions for German SLT health insurance

Fifth Quantitative Impact Study of Solvency II (QIS 5) National guidance on valuation of technical provisions for German SLT health insurance Fifh Quaniaive Impac Sudy of Solvency II (QIS 5) Naional guidance on valuaion of echnical provisions for German SLT healh insurance Conens 1 Inroducion... 2 2 Calculaion of bes-esimae provisions... 3 2.1

More information

Chapter 8 Student Lecture Notes 8-1

Chapter 8 Student Lecture Notes 8-1 Chaper Suden Lecure Noes - Chaper Goals QM: Business Saisics Chaper Analyzing and Forecasing -Series Daa Afer compleing his chaper, you should be able o: Idenify he componens presen in a ime series Develop

More information

The Real Business Cycle paradigm. The RBC model emphasizes supply (technology) disturbances as the main source of

The Real Business Cycle paradigm. The RBC model emphasizes supply (technology) disturbances as the main source of Prof. Harris Dellas Advanced Macroeconomics Winer 2001/01 The Real Business Cycle paradigm The RBC model emphasizes supply (echnology) disurbances as he main source of macroeconomic flucuaions in a world

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