Methodological Problems in Solvency Assessment of an Insurance Company 1



Similar documents
IT Update - August 2006

ISSeG EGEE07 Poster Ideas for Edinburgh Brainstorming

X-CAPM: An Extrapolative Capital Asset Pricing Model

Bankruptcy law and firms' behavior

Table 1. Compound annual real returns, by type of investment, (in percent)

Derivations and Applications of Greek Letters Review and

Exotic Options: Pricing Path-Dependent single Barrier Option contracts

FLOOR OPTIONS ON STRUCTURED PRODUCTS AND LIFE INSURANCE CONTRACTS

OPTIONS EVALUATION - BLACK-SCHOLES MODEL VS. BINOMIAL OPTIONS PRICING MODEL

RISK PROFILES OF LIFE INSURANCE PARTICIPATING POLICIES: MEASUREMENT AND APPLICATION PERSPECTIVES

Valuing Long-Lived Assets

Numerical Algorithm for the Stochastic Present Value of Aggregate Claims in the Renewal Risk Model

Incorporating Statistical Process Control and Statistical Quality Control Techniques into a Quality Assurance Program

e3 insights Stop interrupting me! Re-discovering the art of attraction through content marketing

Optimization of Periodic Review Inventory Model with Emergency order in Two-Echelon Supply Chain using Differential Evolution

Many quantities are transduced in a displacement and then in an electric signal (pressure, temperature, acceleration). Prof. B.

The effect on the Asian option price times between the averaging. Mark Ioffe

Problem Solving Session 1: Electric Dipoles and Torque

International Comparison of Housing Risk Premia

CONSISTENCY OF (INTERTEMPORAL) BETA ASSET PRICING AND BLACK-SCHOLES OPTION VALUATION

Solving the real business cycles model of small-open economies by a sample-independent approach

Pricing strategy of e-commerce platform under different operational models

OPTIONS ON PENSION ANNUITY

HEAT TRANSFER ANALYSIS OF LNG TRANSFER LINE

UNIVERSITÉ PARIS I PANTHÉON-SORBONNE MASTER MMMEF

Chad Saunders 1, Richard E Scott 2

The (Bad?) Timing of Mutual Fund Investors. Oded Braverman,* Shmuel Kandel,** and Avi Wohl*** First version: February 2005 This version: August 2005

HFCC Math Lab Intermediate Algebra - 13 SOLVING RATE-TIME-DISTANCE PROBLEMS

The pricing analysis of reverse mortgage with redemption option

Outline. - The Trafo Project - 1. Introduction of GEF Ingenieur AG and Trafo Project. 2. Intregrating Renewables into the Jena District Heating System

Installation Precautions

HUT, TUT, LUT, OU, ÅAU / Engineering departments Entrance examination in mathematics May 25, 2004

Modeling the Yield Curve Dynamics

Technological Entrepreneurship : Modeling and Forecasting the Diffusion of Innovation in LCD Monitor Industry

Pricing and Hedging Guaranteed Annuity Options via Static Option Replication 1

Term Structure of Interest Rates: The Theories

PRICING and STATIC REPLICATION of FX QUANTO OPTIONS

Actuarial Research Paper No. 193

WHAT ARE OPTION CONTRACTS?

MTBF: Understanding Its Role in Reliability

A Model for Antenna-Plasma Wave Coupling towards Control of Uniformity in Slot-Excited Microwave Discharges

Load Balancing Algorithm Based on QoS Awareness Applied in Wireless Networks

Lateef Investment Management, L.P. 300 Drakes Landing Road, Suite 210 Greenbrae, California 94904

Why am I poor? First Nations Child Poverty in Ontario

Longevity 11 Lyon 7-9 September 2015

Why Did the Demand for Cash Decrease Recently in Korea?

GENETIC ALGORITHMS IN SEASONAL DEMAND FORECASTING

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

The Pricing of Finite Maturity Corporate Coupon Bonds with Rating-Based Covenants

Tank Level GPRS/GSM Wireless Monitoring System Solutions

Uniplan REIT Portfolio Fiduciary Services Uniplan Investment Counsel, Inc.

Uniplan REIT Portfolio Select UMA Uniplan Investment Counsel, Inc.

A Dynamic Solvency Approach for Life Insurance

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

Morningstar Investor Return

Physics. Lesson Plan #9 Energy, Work and Simple Machines David V. Fansler Beddingfield High School

A Versatile Method for Analyzing the Influence of Track Irregularity on Vehicle-track-bridge Coupled System

The Transport Equation

Mid Cap Growth Select UMA Congress Asset Management Company

29 March Application of Annuity Depreciation in the Presence of Competing Technologies II Telecom New Zealand

How To Get A Pension In Chile

Laplace Transformation Techniques vs. Extended Semi-Markov Processes Method

Minneapolis Portfolio Management Group, LLC

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

CALCULATION OF OMX TALLINN

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

SPEC model selection algorithm for ARCH models: an options pricing evaluation framework

Life insurance cash flows with policyholder behaviour

A Place to Choose Quality, Affordable Health Insurance

US Small Cap Value. $8.2 billion $1.3 billion

Using dispatching rules for job shop scheduling with due date-based objectives

Estimating Powers with Base Close to Unity and Large Exponents

Economics Honors Exam 2008 Solutions Question 5

Connecting With You. Investing in a Good. Education/Better Jobs You want to get a good education after high school that will lead to a great job.

Welcome to the workshop Occupational science as a theoreticalfoundation for practice in the social arena

An Empirical Analysis of the Money Demand Function in India

The Torsion of Thin, Open Sections

1. Time Value of Money 3 2. Discounted Cash Flow Statistics and Market Returns Probabilities Key Formulas 109

Equities: Positions and Portfolio Returns

Transient Thermoelastic Behavior of Semi-infinite Cylinder by Using Marchi-Zgrablich and Fourier Transform Technique

Hedging Portfolios with Short ETFs

PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE

Western Asset Core Plus Portfolios Select UMA Western Asset Management

II II. XO x x xx. fdbk. :: 1.:1,.: ft :: :: 1.:1. pitch: E I I I I. end Rhy. Fig. 1 P.M.-, P.M.-, P.M.- -, P.M.-, (repear previous two measures)

Large Cap Equity Fiduciary Services Fayez Sarofim & Co.

Handout 3. Free Electron Gas in 2D and 1D

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

Reach Versus Competition in Channels with Internet and Traditional Retailers

Usefulness of the Forward Curve in Forecasting Oil Prices

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

Investment Grade Fixed Income Fiduciary Services Cincinnati Asset Management

Securitization of Crossover Risk in Reverse Mortgages. Chou-Wen Wang 1 Hong-Chih Huang 2 Yuan-Chi Miao 3 ABSTRACT

Parallel and Distributed Programming. Performance Metrics

Transcription:

Invsmn Managmn and Financial Innovaions, /4 95 Mhodological Poblms in Solvncy Assssmn of an Insuanc Comany 1 Rosa Cocozza, Emilia Di Lonzo 3, Mailna Sibillo 4 Absac Th cn wid dvlomn and changs in insuanc maks highlighd h ncssiy o ma ou h solvncy analysis in a mo coml famwok. Th aoach w sn in h a coms u wih an ingad analysis of h isk ofil of an insuanc businss, aking ino accoun h acual Euoan dicivs abou solvncy assssmn. Th aim of h a is o consuc a mhodology a o incooa oly h ffc of h isk soucs in calculaing mahmaical ovisions lad o a ofolio of insuanc olicis. Jl classificaion: G, G8, G13 Ky wods: Lif insuanc, financial isk, dmogahic isk, caial adquacy, svs, condiional andom ocsss. 1. Lif insuanc businss: a isk managmn aoach An insuanc comany is solvn if i is abl o fulfil is obligaions und all conacs und all asonably fosabl cicumsancs (IAIS ). Nvhlss, in od o com o a acicabl dfiniion, i is ncssay o mak cla und which siuaion h aoianss of h asss o cov claims is o b considd. Th qusion, fing o h valuaion uoss, dos no hav a comhnsiv answ, sinc i dnds on many issus. Indd, i is lvan whh h comany is dmd as a closd oaion o a going concn, hus including only win businss (un off basis) o also fuu nw businss (going concn basis). Addiionally, i dnds on h aim of h valuaion ha is h m financial ogss of h comany o is abiliy o m claims and oh obligaions und all bu h mos m cicumsancs. Th fis oic dfins h lvan isk facos: on a going concn basis also flucuaions aound h cd valu of h nw businss will b akn ino accoun (hus allowing fo ning wihin diffn ools), whil on a unoff basis only flucuaions wihin h singl ool will b considd (hus scluding claing). Th scond on dfins h amliud of h valuaion, which in obabilisic ms would cosond o h confidnc lvl choic (fom inmdia lvls o m vns). Thfo, solvncy valuaion is a ocss, whos logical aadigm should squnially consis of h main ss: lvan isk cogniion, isk masumn and dfiniion of caial quimns o absob onial losss. In gnal, h main isk fo a fim is ha vnus ov o b unabl o cov nss and, gad h valuaion also h shaholds, o muna adqualy caial invsd. This is namly businss isk. This vy boad dfiniion dos mbac all isks and ovid fo masuing hm hough h vaianc of h cd ofi ov a im buck (isk hoizon, accouning iod c.) o also ov h ni duaion of h businss. Pmiums and claims scivly a yical insuanc vnus and nss: hfo businss isk sms fom h onial inqualiy among hs lmns, wih h fuh difficuly ha vnus hav o b simad bfo nss bcaus of h invd cycl. Thfo, all h facos ha can induc h inqualiy and in fac o a loss a lvan and dfin h whol isk subsysm. This aoach dos imly ha 1 This sach was aially suod by Ialian MIUR (Pojc: PRIN Modi sumni l analisi la gsion di ischi ni soi dll assicuazioni di son vidnzial. Alhough h a is h sul of a common sudy, h fis scion is win by R. Cocozza and h s wo a by E. Di Lonzo and M. Sibillo. Ph.D., Associa ofsso of financial inmdiais a h Univsiy of Nals, Ialy. 3 Pofsso of financial mahmaics a h Univsiy of Nals, Ialy. 4 Pofsso of financial mahmaics a h Univsiy of Salno, Ialy.

96 Invsmn Managmn and Financial Innovaions, /4 h caabiliy of coving nss by mans of miums dnds on h dsign of lvan cos divs. Fo lif businss, h main uzzls a moaliy and ins as 1, which could imac of h singl iod fomanc (incom), by h modificaion hy oduc on lvan coss and vnus. Thfo, concnaing on h u mium comonns and foming an analysis on a un-off basis, h isk imac valuaion can sa off on h bakdown of h incom comonns ov a singl accouning iod. Pofi ( ) can b oulind as h algbaic sum of: ovisions a h bginning of h ya (R -1 ), and miums (P ), invsmn incom (R -1 +P )( -1), aymns o olicyholds (S ) and ovisions a h nd of h ya (R ), ha is R 1 P S R. (1) Fo an immdia moay (n) uniay annuiy, quaion (1) can b scifid as 3 N N 1 1 1 1, 1 N 1 1 () wh N is h acual numb of suvivos a ag + and is h cd singl sv fo ach ising olicy a h nd of iod. In his sciv accud incom can b sn as a funcion of h foc of h oal a of un fo h iod (-1,) and of h acual numb of suvivos N -1 and of h obabiliy +-1, and N 1 1 1 1, (3) N 1 1, (4) 1 N 1. (5) Th fis divaiv (quaion 3) givs h fil of h insuanc isk, ha is a isk indicao fo h vn of an acual numb of suvivos divs fom h cd on. Th indicao is always osiiv bcaus a high numb of suvivos in h cding iod focs h insu o incas h cosonding ovision, giving is o a caialisd valu lag han cd nss. This bnfi, alhough always osiiv, shows a dynamics conncd o h ag () and h valuaion im () as shown by Figu 1. 1 Fo aml, fo moay annuiis, h minimal quilibium is dicly dndn on h singl iod diffnials bwn h ingal of h insananous oal un on asss uchasd wih win mium and ha of h oiginal ins a alid in mium aing and h logaihm of h acual numb of suvivos and h cd numb of suvivos (Cocozza al., 3b). Fo h sak of claiy, miums a assumd o b and a h bginning of h accouning iod and aymns o olicyholds a assumd o b fomd immdialy bfo h nd of h iod. 3 Th aim of h a is o oulin a valuaion mhodology: w hav dcidd o wok all h amls hough an annuiy bu any oh kind of olicy could sv ou uos.

Invsmn Managmn and Financial Innovaions, /4 97 Fig. 1. Dynamics conncd o h ag and h valuaion im Th scond divaiv (quaion 4) givs h longviy isk indicao, ha is a oy fo h vn ha h is a shock in h moaliy funcion. Th ngaiv sign accouns fo h ns incas bcaus of a lag numb of suvivos fo h cun iod. Th imac of h longviy isk is ooional o h siz of h ofolio and o h sv valu, hus incasing no only fo young olicyholds and/o fo valuaion im clos o h issu (as shown by Figu ) bu also fo lag siz ofolios. 1+ SIM 1991 n= =9% longviy isk fil 1 9 8 7 6 5 4 3 1 6 ag a issu () 3 38 44 5 56 6 68 74 8 8 6 4 14 1 1 im () 18 16 Fig.. Th ooion of longviy isk imac h h siz of h ofolio Th hid divaiv (quaion 5) givs h invsmn isk, sinc i givs h mulili of h a shock. Th osiiv sign of h indicao accouns fo h dic ooionaliy bwn h a shock and h incom ov iod ; naually h high h valu of h sv is, h song h imac aas o b (Figu 3).

98 Invsmn Managmn and Financial Innovaions, /4 SIM 1991 n = =9% invsmn isk fil 1 9 8 7 6 5 4 3 1 4 6 8 1 im () 1 14 16 18 6 3 38 44 5 56 6 68 74 8 ag a issu () Fig. 3. Th valu of h sv and h imac aio I can b asily shown ha h imac of financial and longviy isk is fa lag han insuanc isk sinc hi lvanc is fild hough h sv valu conncd o h ofolio siz. This imlis ha hi imac is dicly ooional o h acual numb of suvivos N -1 and, in a sns, o h numb of issud olicis c. In conclusion, h vaiaion vlociy of h ofi is masud by mans of h gadin, N 1, 1 sinc N. (6) 1, 1, Thfo, h oal vaiabiliy of h ofi ov h singl im buck can b dividd ino h main h comonns, hus giving h oouniy o saaly idnify h imac of a scific isk faco, also considing h im voluion of h indicaos.. Th mahmaical snaion As alady oind ou in h vious scions, in iskinss valuaion concning h liabiliy comonns, h join ffc of dmogahic and financial facos lays a fundamnal ol. In his sns i is ncssay o cocly valua h imac of such facos and hi inacions on h mahmaical sv. On h basis of h balanc quaion, w can agu ha flucuaions of h a of un a aiculaly lvan fo h asss, whil on h liabiliis h inacions bwn dmogahic and financial comonns hav a mo and mo makd ffc. As a fis s in solving h oblm, w focus on h iskinss analysis concning h mahmaical sv, fo which w inoduc a siml and a suiabl masu, a o quanify h syngy oducd by h andom flucuaion of ins and moaliy (suvival). L us consid a ofolio of c idnical n-ya moay lif annuiy-immdia, ach olicy bing of 1 uni ayabl a h nd of ach ya whil h lif agd () suvivs. L us dno h andom vaiabl sning h fuu lifim of h i-h insud (fo ach i) by T i ()

Invsmn Managmn and Financial Innovaions, /4 99 and h cua fuu lifim of () by K i (), h is h numb of coml fuu yas livd by () in,n-. Th osciv loss a im, fo h i-h olicy, is dfind as h diffnc L (i) a im bwn h sn valu of fuu bnfi aymns and h sn valu of fuu mium aymns, assuming ha T i ()>: L (i) K i j ds s, (7) wh (s) is h foc of ins. Th n mium sv a im is dfind as h condiional caion of L (i), givn ha T i ()>. L us dno by L h osciv loss fo h ni ofolio, accoding o h following noaion: j1 n sds L, (8) N 1 wh N () is h numb of suvivos a im. Sinc in ou analysis L is affcd by wo isk soucs, (s) and K i (), h gssion funcion E L(s) (Fs, 1998) ovids an avag of L ov all valus of (s). In his way w consid a condiional man valu wih sc o h flucuaions of h insud s lifim ino h sidual olicy duaion,n. In his famwok vae L(s) sns a masu of h volailiy of L aising fom h uncain bhaviou of h ins a. By mans of his masu w quanify h financial isk, aking ino accoun also h snc, vn hough avagd, of h dmogahic comonn. W obsv ha: va n va E L s E N 1 sds s vac n 1 sds (9) c n n 1 s1 s cov u du s u du,. W can also obsv ha h sidual isk comonn is quanifid by h obvious diffnc bcaus of h uncainy of lif duaions va L. (1) va E L s

1 Invsmn Managmn and Financial Innovaions, /4 3. How o quanify h uncainy imac L us assum ha h foc of ins in h iod und considaion is govnd by a dminisic low, (), dducibl on h basis of h cun lvan as, cocd by a sochasic ocss, X(), a o summaiz h andomnss affcing h a voluion in im and o cau all is ossibl dviaions fom h dminisic an. So, i is naual o s (Di Lonzo al., 1999) X. (11) In ou aml X() is an Onsin-Uhlnbck ocss, wih aams > and >, and iniial osiion X()=, involvd by h following sochasic diffnial quaion dx X d dw, (1) wh W() is a sandad Win ocss. On h basis of sochasic calculus incils and af som lins of algba, i is ossibl o obain h following covaianc and vaianc funcions of h ocss cov 3 va h h X X s ds, X s ds minh, k k h k hk 1 1 h s ds h 1 1 3 h hk Xsds: ; h. Fo a siml snaion of h fomulas fo h vaianc and h covaianc funcions of h valuaion sochasic faco in fomula (9), w os: h k cov Xs ds, Xs dsh,k and va h Xs ds (h). Considing, in ou hyohss, ha h valuaion faco is log-nomally disibud, w can wi: cov h k X sds X s ds, 1 h k h, k 1.

Invsmn Managmn and Financial Innovaions, /4 11 Now w a abl o comu h imac of h isk soucs on a lif annuiy ofolio. As an mlificaion w imlmn ou modl in h cas of a ofolio consising of c=1 olicis a issu, ach on lad o a lif agd, wih duaion n=. Wih gad o h insananous ins a, w fi a consan dminisic comonn =.6, and h aams =.11, =.5 fo h sochasic on. In figus 4 and 5 w can obsv h bhaviou of h wo isk comonns as funcions of h ag and h sv valuaion im (and, imlicily, of h olicy sidual duaion). Fig. 4.Th Financial Risk (=,,7; =1,,15) Fig. 5.Th Insuanc Risk (=,,7; =1,,15) Th financial isk, as funcion of, dcass whn is fid; h sam bhaviou aas whn h ols of and a inchangd. Th insuanc isk, fo vy fid valu of, incass wih unil a cain valuaion im; h young h insud is, h long h iod of h incasing bhaviou is. This hnomnon dnds on h sv amoun osd o h dmogahic isk, aking ino accoun h influnc of h insuds ag and h sidual duaion of h ofolio Whn is fid, h dmogahic isk gnally incass wih, bu fo ga valus of i dcass whn h ag bcoms ga, as i is cla asoning as in h vious cas.

1 Invsmn Managmn and Financial Innovaions, /4 4. Conclusions Th alicaion of isk faco analysis has givn h oouniy o build u a mhodology s abl o valua h imac of diffn isk divs, boh in a dminisic and in a sochasic cons. Thfo, i could b of valuabl alicaion fo boh nal and innal conols. I has bn shown ha, in boh h cons, h is a significan and consisn voluion along im of main isk indicaos, hus suggsing h oouniy o scal h caial quimn accoding o h siz and im voluion of h businss. Finally, i is ncssay o undlin ha h nsion of h analysis o oh kind of olicis could giv is o vy diffn sul as fa h lvanc and h im voluion of h isk indicaos a concnd. Rfncs 1. Babbl D.F., F.J. Fabozzi. Invsmn managmn fo insus. - Nw Yok: Wily, 1999.. Babbl, D.F., J. Gold, C.B. Mill. Fai valu of liabiliis: h financial conomics sciv//noh Amican Acuaial Jounal. N 6 (1) -.1-7. 3. Cocozza, R. La gsion dl ischio di asso di inss nll assicuazioni dl amo via. Padova: CEDAM,. 4. Cocozza, R., E. Di Lonzo. Solvncy of lif insuanc comanis: mhodological issus//woking a 3a. 5. Cocozza, R., E. Di Lonzo. Risk ofils of lif insuanc businss: a combind aoach//vi Ialian-Sanish Confnc on Financial Mahmaics (Tis), 3b. 6. Di Lonzo, E., M. Sibillo, G. Tssio. A Sochasic Modl fo Financial Evaluaion: Alicaions o Acuaial Conacs//Alid Sochasic Modls in Businss and Indusy 1999. N 15 -. 69-75. 7. Fs, E. Rlaiv Imoanc of Risk Soucs in Insuanc Sysms//Noh Amican Acuaial Jounal 1998. N (). 34-48. 8. IAIS Solvncy & Acuaial Issus Subcommi. On Solvncy, Solvncy Assssmns and Acuaial Issus.. IAIS, Mach. 9. IAIS Solvncy & Acuaial Issus Subcommi. Pincils on caial adquacy and solvncy.. IAIS, Januay. 1. IASB Sing Commi. Insuanc Issu a. 1999. IASB, Dcmb 11. Knigh, K. Mahmaical Saisics - Boca Raon, Floida: Chaman and Hall/CRC,. 1. Pak, G. Sochasic analysis of h inacion bwn invsmn and insuanc isks//noh Amican acuaial jounal 1997. N 1 (). 55-84. 13. Vandhoof, I.T., E.I. Alman (ds). Th fai valu of insuanc liabiliis - Boson. Dodch, London: Kluw Acadmic Publishs. 1998.