Stress test for measuring insurance risks in non-life insurance
|
|
|
- Lauren Richards
- 10 years ago
- Views:
Transcription
1 PROMEMORIA Datum June 01 Fnansnspektonen Författare Bengt von Bahr, Younes Elonq and Erk Elvers Stress test for measurng nsurance rsks n non-lfe nsurance Summary Ths memo descrbes stress testng of nsurance rsks and expense rsk for nonlfe nsurance n the traffc lght model. Background and purpose Fnansnspektonen s (FI) ntenton wth the new expanson of the traffc-lght model for non-lfe nsurance s to stress tems n the company s balance sheet ncludng both the asset and the lablty. The sze of the changes wll be chosen such that t approxmately represents the 99.5 percent quantle of possble devatons n one year. Ths document descrbes how assumptons for nsurance rsks for non-lfe nsurance are chosen. Changed assumptons for non-lfe nsurance The changed assumptons for the provsons n non-lfe nsurance companes nclude A best estmate n accordance wth the Prudent Person Prncple Captal requrements for ncrease of provsons for unearned premums and unexpred rsks Captal requrements for ncrease of provsons for outstandng clams Captal requrements for catastrophe rsk Captal requrements for expense rsk Best estmate n accordance wth the Prudent Person Prncple A best estmate accordng to the Prudent Person Prncple shall correspond to the expected value of the amounts whch the company needs to fulfll the commtments whch can reasonably be expected. Dscountng of the future payments shall be done wth a rsk-free nterest rate. The calculatons shall be made wth approprate actuaral methods and refer to busness gross of rensurance. Box 781 SE Stockholm, Sweden [Brunnsgatan 3] Tel Fax [email protected] Captal requrements for ncreased provsons for unearned premums and unexpred rsks KPR The rsk factors for these provsons are of two types: Parameter rsk and Volatlty rsk. 1(6)
2 Parameter rsk The Parameter rsk les prmarly wthn clam nflaton and clam frequency. The average duraton of the remanng perod of rsk s often about sx months. The ncrease n clam frequency s assumed to be 10% per year and the ncrease n nflaton % per year, both above those that have been used n the best estmates. The total ncrease n the company s provsons for unearned premums and unexpred rsks because of uncertanty n parameters s therefore (10% + %) 6/1 = 6% of the company s provsons for unearned premums and unexpred rsks (AEIPKR),.e. KPRPAR 6 % Volatlty rsk AEIPKR The volatlty rsk descrbes uncertanty about the outcome of the nsurance busness durng the perod whch unearned premums are supposed to cover. The captal requrement for branch number s determned from the numbers n = expected number of clams, nl-clams excluded, durng the followng 1- month-perod for branch number, net rensurance m = expected clam sze, nl-clams excluded, for branch, net rensurance v = coeffcent of varaton n the clams dstrbuton, nl-clams excluded, for branch number, net rensurance The captal requrement s determned by the formula KPRSLUMP n,58 m 1 v The total captal requrement for volatlty rsk s determned by a square root summaton over branches by KPRSLUMP KPRSLUMP The captal requrement for unearned premums and unexpred rsks s KPR KPRPAR KPRSLUMP Captal requrement for ncreased provsons for outstandng clams KOS The rsk factors for these provsons are prmarly clam amounts, clam nflaton and payment patterns. FI has estmated the uncertanty n made provsons by studyng the varaton n the supplementary payment factor,.e. the rato be-
3 tween total compensaton and pad compensaton to date. In order to more accurately estmate the standard devatons, the companes have been dvded nto three more homogenous groups: AFA Health and Sckness Natonal companes except AFA Health and Sckness Large local companes. The standard devaton s a measure for uncertanty. Let (.) be a notaton for standard devaton and denote the supplementary payment factor by SPF. Then the followng holds: Total compensaton SPF Pad to date Pr ovsons Total compensaton Pad to date Pad to date ( SPF 1) (Pr ovsons) Pad to date ( SPF) FI has estmated the standard devaton D for the supplementary payment factor for the total payments wthn the company groups by nsurance branch and development year D. The estmatons of the standard devatons for the three groups are gven n the publshed spreadsheets on Fnansnspektonen webste under the folder Reportng/Traffc-lght model" The standard devatons D for the supplementary payment factor shall thus be appled to the clam years t = R D for D = 0, 1, For an ndvdual company B, the standard devaton s Bt for the provsons for branch and clam year t s calculated as D s max1 c ;0,7 (1 c ) mn u ; 0,5 f abt Bt Bt Bt Bt Bt where c Bt = the company s estmated share of rensurance ceded for nsurance branch and year t u Bt = the company s payments to date for nsurance branch and clam year t D = the standard devaton accordng to the table above, where D = R t a Bt = the company s market share n ts group for nsurance branch and clam year t f Bt = the company s provsons for outstandng clams for nsurance branch and clam year t 3
4 The share of ceded rensurance can be estmated by the rato between the premums for ceded rensurance and the total premum or the rato between compensatons from rensurance companes and total compensatons. The market share s measured wth the ad of the premum share n the company group as a Bt p 1 Bt max ; Pt 9 where p Bt = the company s premum for nsurance branch and year t P t = total premum n the company group for nsurance branch and year t The total premums P t for the three groups are gven n the publshed spreadsheets on Fnansnspektonen webste under the folder Reportng/Traffc-lght model" AFA has the share 1 n ts company group. The standard devaton s B(yngre) for the company s provsons for outstandng clams for nsurance branch s calculated by the square root formula: s B s ( yngre) t Bt where the sum s calculated for the more recent clam years for whch the standard devatons are calculated as above. These years do not represent the entre provsons for outstandng clams, rather n terms of experence, there are mnor provsons for clam years older than those reported separately. These older clam years represent the shares b of the total provsons for the three groups are gven n the publshed spreadsheets on Fnansnspektonen webste under the folder Reportng/Traffc-lght model" Table 5. Percentage for older clam years b Under the assumpton that the relatve standard devaton for uncertanty n the provsons for the older clam years s the same as the more recent clam years, s B( äldre) s B( yngre) b 1 b 4
5 The total standard devaton then becomes s B s s B( yngre) B( äldre) The above calculatons can only be completed for those nsurance branches where Fnansnspektonen has access to relable statstcs. For the branches Drect foregn nsurance Rensurance receved from Swedsh companes Rensurance receved from foregn companes the followng standard amounts shall be appled: s B,utl = 0.06 the provsons for outstandng clams s B,mott sv åf = 0.15 the provsons for outstandng clams s B,mott utl åf = 0.0 the provsons for outstandng clams The standard devaton s B for the company s total provsons for outstandng clams s also calculated wth the square root formula s s s s s B B B, utl B, mott sv åf B, mott utl åf Captal requrements for provsons for outstandng clams The captal requrements n the company s provsons for outstandng clams (KOS) s calculated as KOS =,58 s B Captal requrements for catastrophe rsk The company shall estmate the costs net of rensurance from the followng three catastrophes. The costs shall be valued as the best estmate of the effect on the company f the catastrophe occurs where the company s actve. A catastrophe, the effect of whch s less than 5 % of the largest, need not be valued and can be neglected. Catastrophe 1 A storm resultng n a total loss n the Swedsh market of SEK 15 bllon, affectng nsurance class Property (Commercal and property, homeowners). Catastrophe A fnancal crss resultng n a market loss of SEK bllon, affectng nsurance class Credt nsurance. 5
6 Catastrophe 3 An epdemc resultng n a market loss of SEK 1 bllon affectng nsurance class Personal accdent and sckness. The captal requrement s determned as follows: KKAT KAT where KAT, = 1,,3, s the net cost for catastrophe 1 (storm), catastrophe (fnancal crss) and catastrophe 3 (epdemc). Captal requrements for non lfe nsurance rsk KS KS KOS KPR 0,5 KOS KPR KKAT Expense rsk The purpose for testng expense rsk s that the company must be able to cover an ncrease of the fxed expenses for dfferent reasons by 10 %. It s assumed that the company can reduce ths ncrease of costs and/or ncrease the ncome wthn a perod of 1 months. The stressng s thus assumed to have only a temporary effect. Ths rsk shall be reported separately and shall not be ncluded under the term nsurance rsk. The expense rsk s measured by K = the company s annual fxed costs, defned as operatng expenses plus clams adjustment costs mnus acquston costs. The captal requrement for expense rsk s calculated as 0.1K. Expense rsk and nsurance rsk are assumed to have a correlaton coeffcent of 50 % when calculatng the total rsk. 6
Traffic-light a stress test for life insurance provisions
MEMORANDUM Date 006-09-7 Authors Bengt von Bahr, Göran Ronge Traffc-lght a stress test for lfe nsurance provsons Fnansnspetonen P.O. Box 6750 SE-113 85 Stocholm [Sveavägen 167] Tel +46 8 787 80 00 Fax
Traffic-light extended with stress test for insurance and expense risks in life insurance
PROMEMORIA Datum 0 July 007 FI Dnr 07-1171-30 Fnansnspetonen Författare Bengt von Bahr, Göran Ronge Traffc-lght extended wth stress test for nsurance and expense rss n lfe nsurance Summary Ths memorandum
benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).
REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or
Analysis of Premium Liabilities for Australian Lines of Business
Summary of Analyss of Premum Labltes for Australan Lnes of Busness Emly Tao Honours Research Paper, The Unversty of Melbourne Emly Tao Acknowledgements I am grateful to the Australan Prudental Regulaton
Reporting Forms ARF 113.0A, ARF 113.0B, ARF 113.0C and ARF 113.0D FIRB Corporate (including SME Corporate), Sovereign and Bank Instruction Guide
Reportng Forms ARF 113.0A, ARF 113.0B, ARF 113.0C and ARF 113.0D FIRB Corporate (ncludng SME Corporate), Soveregn and Bank Instructon Gude Ths nstructon gude s desgned to assst n the completon of the FIRB
Istituto Italiano degli Attuari Riunione di Seminario Attuariale. A Collective Risk Model for Claims Reserve Distribution
Isttuto Italano degl Attuar Runone d Semnaro Attuarale Unverstà Cattolca del Sacro Cuore Mlano, 12 Maggo 2011 A Collectve Rsk Model for Clams Reserve Dstrbuton no Savell Full Professor of Rsk Theory Catholc
An Alternative Way to Measure Private Equity Performance
An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate
CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol
CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK Sample Stablty Protocol Background The Cholesterol Reference Method Laboratory Network (CRMLN) developed certfcaton protocols for total cholesterol, HDL
A Model of Private Equity Fund Compensation
A Model of Prvate Equty Fund Compensaton Wonho Wlson Cho Andrew Metrck Ayako Yasuda KAIST Yale School of Management Unversty of Calforna at Davs June 26, 2011 Abstract: Ths paper analyzes the economcs
Lecture 3: Annuity. Study annuities whose payments form a geometric progression or a arithmetic progression.
Lecture 3: Annuty Goals: Learn contnuous annuty and perpetuty. Study annutes whose payments form a geometrc progresson or a arthmetc progresson. Dscuss yeld rates. Introduce Amortzaton Suggested Textbook
Documentation about calculation methods used for the electricity supply price index (SPIN 35.1),
STATISTICS SWEDEN Documentaton (6) ES/PR-S 0-- artn Kullendorff arcus rdén Documentaton about calculaton methods used for the electrct suppl prce ndex (SPIN 35.), home sales (HPI) The ndex fgure for electrct
Lecture 3: Force of Interest, Real Interest Rate, Annuity
Lecture 3: Force of Interest, Real Interest Rate, Annuty Goals: Study contnuous compoundng and force of nterest Dscuss real nterest rate Learn annuty-mmedate, and ts present value Study annuty-due, and
Time Value of Money. Types of Interest. Compounding and Discounting Single Sums. Page 1. Ch. 6 - The Time Value of Money. The Time Value of Money
Ch. 6 - The Tme Value of Money Tme Value of Money The Interest Rate Smple Interest Compound Interest Amortzng a Loan FIN21- Ahmed Y, Dasht TIME VALUE OF MONEY OR DISCOUNTED CASH FLOW ANALYSIS Very Important
Section 5.4 Annuities, Present Value, and Amortization
Secton 5.4 Annutes, Present Value, and Amortzaton Present Value In Secton 5.2, we saw that the present value of A dollars at nterest rate per perod for n perods s the amount that must be deposted today
Portfolio Loss Distribution
Portfolo Loss Dstrbuton Rsky assets n loan ortfolo hghly llqud assets hold-to-maturty n the bank s balance sheet Outstandngs The orton of the bank asset that has already been extended to borrowers. Commtment
Can Auto Liability Insurance Purchases Signal Risk Attitude?
Internatonal Journal of Busness and Economcs, 2011, Vol. 10, No. 2, 159-164 Can Auto Lablty Insurance Purchases Sgnal Rsk Atttude? Chu-Shu L Department of Internatonal Busness, Asa Unversty, Tawan Sheng-Chang
Causal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting
Causal, Explanatory Forecastng Assumes cause-and-effect relatonshp between system nputs and ts output Forecastng wth Regresson Analyss Rchard S. Barr Inputs System Cause + Effect Relatonshp The job of
CEIOPS-DOC-42/09. (former CP 49) October 2009
CEIOPS-DOC-42/09 CEIOPS Advce for Level 2 Imlementng Measures on Solvency II: Standard formula SCR - Artcle 109 c Lfe underwrtng rsk (former CP 49) October 2009 CEIOPS e.v. Westhafenlatz 1-60327 Frankfurt
RISK PREMIUM IN MOTOR VEHICLE INSURANCE. Banu ÖZGÜREL * ABSTRACT
D.E.Ü.İİ.B.F. Dergs Clt: 0 Sayı:, Yıl: 005, ss:47-60 RISK PREMIUM IN MOTOR VEHICLE INSURANCE Banu ÖZGÜREL * ABSTRACT The pure premum or rsk premum s the premum that would exactly meet the expected cost
Calculation of Sampling Weights
Perre Foy Statstcs Canada 4 Calculaton of Samplng Weghts 4.1 OVERVIEW The basc sample desgn used n TIMSS Populatons 1 and 2 was a two-stage stratfed cluster desgn. 1 The frst stage conssted of a sample
Nordea G10 Alpha Carry Index
Nordea G10 Alpha Carry Index Index Rules v1.1 Verson as of 10/10/2013 1 (6) Page 1 Index Descrpton The G10 Alpha Carry Index, the Index, follows the development of a rule based strategy whch nvests and
3. Present value of Annuity Problems
Mathematcs of Fnance The formulae 1. A = P(1 +.n) smple nterest 2. A = P(1 + ) n compound nterest formula 3. A = P(1-.n) deprecaton straght lne 4. A = P(1 ) n compound decrease dmshng balance 5. P = -
FINANCIAL MATHEMATICS
3 LESSON FINANCIAL MATHEMATICS Annutes What s an annuty? The term annuty s used n fnancal mathematcs to refer to any termnatng sequence of regular fxed payments over a specfed perod of tme. Loans are usually
HOUSEHOLDS DEBT BURDEN: AN ANALYSIS BASED ON MICROECONOMIC DATA*
HOUSEHOLDS DEBT BURDEN: AN ANALYSIS BASED ON MICROECONOMIC DATA* Luísa Farnha** 1. INTRODUCTION The rapd growth n Portuguese households ndebtedness n the past few years ncreased the concerns that debt
SIMPLE LINEAR CORRELATION
SIMPLE LINEAR CORRELATION Smple lnear correlaton s a measure of the degree to whch two varables vary together, or a measure of the ntensty of the assocaton between two varables. Correlaton often s abused.
Stochastic Claims Reserving under Consideration of Various Different Sources of Information
Stochastc Clams Reservng under Consderaton of Varous Dfferent Sources of Informaton Dssertaton Zur Erlangung der Würde des Dotors der Wrtschaftswssenschaften der Unverstät Hamburg vorgelegt von Sebastan
Using Series to Analyze Financial Situations: Present Value
2.8 Usng Seres to Analyze Fnancal Stuatons: Present Value In the prevous secton, you learned how to calculate the amount, or future value, of an ordnary smple annuty. The amount s the sum of the accumulated
THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek
HE DISRIBUION OF LOAN PORFOLIO VALUE * Oldrch Alfons Vascek he amount of captal necessary to support a portfolo of debt securtes depends on the probablty dstrbuton of the portfolo loss. Consder a portfolo
Efficiency Test on Taiwan s Life Insurance Industry- Using X-Efficiency Approach
Informaton and Management Scences Volume 18, Number 1, pp. 37-48, 2007 Effcency Test on Tawan s Lfe Insurance Industry- Usng X-Effcency Approach James C. Hao Tamkang Unversty R.O.C. Abstract Usng twenty-three
Pragmatic Insurance Option Pricing
Paper to be presented at the XXXVth ASTIN Colloquum, Bergen, 6 9th June 004 Pragmatc Insurance Opton Prcng by Jon Holtan If P&C Insurance Company Ltd Oslo, Norway Emal: [email protected] Telephone: +47960065
The Application of Fractional Brownian Motion in Option Pricing
Vol. 0, No. (05), pp. 73-8 http://dx.do.org/0.457/jmue.05.0..6 The Applcaton of Fractonal Brownan Moton n Opton Prcng Qng-xn Zhou School of Basc Scence,arbn Unversty of Commerce,arbn [email protected]
1. Math 210 Finite Mathematics
1. ath 210 Fnte athematcs Chapter 5.2 and 5.3 Annutes ortgages Amortzaton Professor Rchard Blecksmth Dept. of athematcal Scences Northern Illnos Unversty ath 210 Webste: http://math.nu.edu/courses/math210
Risk Model of Long-Term Production Scheduling in Open Pit Gold Mining
Rsk Model of Long-Term Producton Schedulng n Open Pt Gold Mnng R Halatchev 1 and P Lever 2 ABSTRACT Open pt gold mnng s an mportant sector of the Australan mnng ndustry. It uses large amounts of nvestments,
PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12
14 The Ch-squared dstrbuton PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 1 If a normal varable X, havng mean µ and varance σ, s standardsed, the new varable Z has a mean 0 and varance 1. When ths standardsed
Intra-year Cash Flow Patterns: A Simple Solution for an Unnecessary Appraisal Error
Intra-year Cash Flow Patterns: A Smple Soluton for an Unnecessary Apprasal Error By C. Donald Wggns (Professor of Accountng and Fnance, the Unversty of North Florda), B. Perry Woodsde (Assocate Professor
LIFETIME INCOME OPTIONS
LIFETIME INCOME OPTIONS May 2011 by: Marca S. Wagner, Esq. The Wagner Law Group A Professonal Corporaton 99 Summer Street, 13 th Floor Boston, MA 02110 Tel: (617) 357-5200 Fax: (617) 357-5250 www.ersa-lawyers.com
Methods for Calculating Life Insurance Rates
World Appled Scences Journal 5 (4): 653-663, 03 ISSN 88-495 IDOSI Pulcatons, 03 DOI: 0.589/dos.wasj.03.5.04.338 Methods for Calculatng Lfe Insurance Rates Madna Movsarovna Magomadova Chechen State Unversty,
How To Get A Penson From Poland Or Canada
Socal Insurance Insttuton PENSIONS FROM THE SOCIAL INSURANCE INSTITUTION ESTABLISHED ON THE BASIS OF THE AGREEMENT ON SOCIAL SECURITY BETWEEN POLAND AND CANADA Who s the leaflet addressed to? The leaflet
APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT
APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT Toshhko Oda (1), Kochro Iwaoka (2) (1), (2) Infrastructure Systems Busness Unt, Panasonc System Networks Co., Ltd. Saedo-cho
TESTING FOR EVIDENCE OF ADVERSE SELECTION IN DEVELOPING AUTOMOBILE INSURANCE MARKET. Oksana Lyashuk
TESTING FOR EVIDENCE OF ADVERSE SELECTION IN DEVELOPING AUTOMOBILE INSURANCE MARKET by Oksana Lyashuk A thess submtted n partal fulfllment of the requrements for the degree of Master of Arts n Economcs
Small pots lump sum payment instruction
For customers Small pots lump sum payment nstructon Please read these notes before completng ths nstructon About ths nstructon Use ths nstructon f you re an ndvdual wth Aegon Retrement Choces Self Invested
THE USE OF RISK ADJUSTED CAPITAL TO SUPPORT BUSINESS DECISION-MAKING
THE USE OF RISK ADJUSTED CAPITAL TO SUPPORT BUSINESS DECISION-MAKING By Gary Patrk Stefan Bernegger Marcel Beat Rüegg Swss Rensurance Company Casualty Actuaral Socety and Casualty Actuares n Rensurance
Data Mining from the Information Systems: Performance Indicators at Masaryk University in Brno
Data Mnng from the Informaton Systems: Performance Indcators at Masaryk Unversty n Brno Mkuláš Bek EUA Workshop Strasbourg, 1-2 December 2006 1 Locaton of Brno Brno EUA Workshop Strasbourg, 1-2 December
. TITLE 37 INSURANCE PART XI CHAPTER 27: EMERGENCY - RULE 17 or DIRECTIVE 187
. TTLE 37 NSURANCE PART X CHAPTER 27: EMERGENCY - RULE 17 or DRECTVE 187 SUSPENSON OF CERTAN STATUTES AND REGULATONS REGARDNG HEALTH NSURANCE.. ANDRELATEDPROVSONSREGARDNG ANY AND ALL NSURANC:EMATTERS AFFECTNG
J. David Cummins* Gregory P. Nini. June 29, 2001
OPTIMAL CAPITAL UTILIZATION BY FINANCIAL FIRMS: EVIDENCE FROM THE PROPERTY-LIABILITY INSURANCE INDUSTRY By J. Davd Cummns* Gregory P. Nn June 29, 2001 J. Davd Cummns* Gregory P. Nn The Wharton School The
DEFINING %COMPLETE IN MICROSOFT PROJECT
CelersSystems DEFINING %COMPLETE IN MICROSOFT PROJECT PREPARED BY James E Aksel, PMP, PMI-SP, MVP For Addtonal Informaton about Earned Value Management Systems and reportng, please contact: CelersSystems,
Simple Interest Loans (Section 5.1) :
Chapter 5 Fnance The frst part of ths revew wll explan the dfferent nterest and nvestment equatons you learned n secton 5.1 through 5.4 of your textbook and go through several examples. The second part
Vasicek s Model of Distribution of Losses in a Large, Homogeneous Portfolio
Vascek s Model of Dstrbuton of Losses n a Large, Homogeneous Portfolo Stephen M Schaefer London Busness School Credt Rsk Electve Summer 2012 Vascek s Model Important method for calculatng dstrbuton of
Fixed income risk attribution
5 Fxed ncome rsk attrbuton Chthra Krshnamurth RskMetrcs Group [email protected] We compare the rsk of the actve portfolo wth that of the benchmark and segment the dfference between the two
FINANCIAL MATHEMATICS. A Practical Guide for Actuaries. and other Business Professionals
FINANCIAL MATHEMATICS A Practcal Gude for Actuares and other Busness Professonals Second Edton CHRIS RUCKMAN, FSA, MAAA JOE FRANCIS, FSA, MAAA, CFA Study Notes Prepared by Kevn Shand, FSA, FCIA Assstant
Reporting Instructions for Schedules A through S
FFIEC 0 Reportng Instructons for Schedules A through S FFIEC 0 FFIEC 0 CONTENTS INSTRUCTIONS FOR PREPARATION OF FFIEC 0 Rsk-Based Captal Reportng for Insttutons Subject to the Advanced Captal Adequacy
Prediction of Disability Frequencies in Life Insurance
Predcton of Dsablty Frequences n Lfe Insurance Bernhard Köng Fran Weber Maro V. Wüthrch October 28, 2011 Abstract For the predcton of dsablty frequences, not only the observed, but also the ncurred but
PENSIONS FROM ZUS ESTABLISHED UNDER THE AGREEMENT ON SOCIAL SECURITY BETWEEN POLAND AND AUSTRALIA
Socal Insurance Insttuton PENSIONS FROM ZUS ESTABLISHED UNDER THE AGREEMENT ON SOCIAL SECURITY BETWEEN POLAND AND AUSTRALIA Legal bass for the coordnaton The Socal Securty Agreement between the Republc
Time Value of Money Module
Tme Value of Money Module O BJECTIVES After readng ths Module, you wll be able to: Understand smple nterest and compound nterest. 2 Compute and use the future value of a sngle sum. 3 Compute and use the
Chapter 15 Debt and Taxes
hapter 15 Debt and Taxes 15-1. Pelamed Pharmaceutcals has EBIT of $325 mllon n 2006. In addton, Pelamed has nterest expenses of $125 mllon and a corporate tax rate of 40%. a. What s Pelamed s 2006 net
Interest Rate Futures
Interest Rate Futures Chapter 6 6.1 Day Count Conventons n the U.S. (Page 129) Treasury Bonds: Corporate Bonds: Money Market Instruments: Actual/Actual (n perod) 30/360 Actual/360 The day count conventon
ENTERPRISE RISK MANAGEMENT IN INSURANCE GROUPS: MEASURING RISK CONCENTRATION AND DEFAULT RISK
ETERPRISE RISK MAAGEMET I ISURACE GROUPS: MEASURIG RISK COCETRATIO AD DEFAULT RISK ADIE GATZERT HATO SCHMEISER STEFA SCHUCKMA WORKIG PAPERS O RISK MAAGEMET AD ISURACE O. 35 EDITED BY HATO SCHMEISER CHAIR
Solution: Let i = 10% and d = 5%. By definition, the respective forces of interest on funds A and B are. i 1 + it. S A (t) = d (1 dt) 2 1. = d 1 dt.
Chapter 9 Revew problems 9.1 Interest rate measurement Example 9.1. Fund A accumulates at a smple nterest rate of 10%. Fund B accumulates at a smple dscount rate of 5%. Fnd the pont n tme at whch the forces
Hedging Interest-Rate Risk with Duration
FIXED-INCOME SECURITIES Chapter 5 Hedgng Interest-Rate Rsk wth Duraton Outlne Prcng and Hedgng Prcng certan cash-flows Interest rate rsk Hedgng prncples Duraton-Based Hedgng Technques Defnton of duraton
7.5. Present Value of an Annuity. Investigate
7.5 Present Value of an Annuty Owen and Anna are approachng retrement and are puttng ther fnances n order. They have worked hard and nvested ther earnngs so that they now have a large amount of money on
Basel Committee on Banking Supervision
Basel Commttee on Banng Supervson The standardsed approach for measurng counterparty credt rs exposures March 014 (rev. Aprl 014) Ths publcaton s avalable on the BIS webste (www.bs.org). Ban for Internatonal
Risk Management and Financial Institutions
Rsk Management and Fnancal Insttutons By John C. Hull Chapter 3 How Traders manage Ther Exposures... Chapter 4 Interest Rate Rsk...3 Chapter 5 Volatlty...5 Chapter 6 Correlatons and Copulas...7 Chapter
How To Calculate The Accountng Perod Of Nequalty
Inequalty and The Accountng Perod Quentn Wodon and Shlomo Ytzha World Ban and Hebrew Unversty September Abstract Income nequalty typcally declnes wth the length of tme taen nto account for measurement.
Calculating the high frequency transmission line parameters of power cables
< ' Calculatng the hgh frequency transmsson lne parameters of power cables Authors: Dr. John Dcknson, Laboratory Servces Manager, N 0 RW E B Communcatons Mr. Peter J. Ncholson, Project Assgnment Manager,
Statistical algorithms in Review Manager 5
Statstcal algorthms n Reve Manager 5 Jonathan J Deeks and Julan PT Hggns on behalf of the Statstcal Methods Group of The Cochrane Collaboraton August 00 Data structure Consder a meta-analyss of k studes
HARVARD John M. Olin Center for Law, Economics, and Business
HARVARD John M. Oln Center for Law, Economcs, and Busness ISSN 1045-6333 ASYMMETRIC INFORMATION AND LEARNING IN THE AUTOMOBILE INSURANCE MARKET Alma Cohen Dscusson Paper No. 371 6/2002 Harvard Law School
THE METHOD OF LEAST SQUARES THE METHOD OF LEAST SQUARES
The goal: to measure (determne) an unknown quantty x (the value of a RV X) Realsaton: n results: y 1, y 2,..., y j,..., y n, (the measured values of Y 1, Y 2,..., Y j,..., Y n ) every result s encumbered
Brigid Mullany, Ph.D University of North Carolina, Charlotte
Evaluaton And Comparson Of The Dfferent Standards Used To Defne The Postonal Accuracy And Repeatablty Of Numercally Controlled Machnng Center Axes Brgd Mullany, Ph.D Unversty of North Carolna, Charlotte
Efficient Project Portfolio as a tool for Enterprise Risk Management
Effcent Proect Portfolo as a tool for Enterprse Rsk Management Valentn O. Nkonov Ural State Techncal Unversty Growth Traectory Consultng Company January 5, 27 Effcent Proect Portfolo as a tool for Enterprse
Study on Model of Risks Assessment of Standard Operation in Rural Power Network
Study on Model of Rsks Assessment of Standard Operaton n Rural Power Network Qngj L 1, Tao Yang 2 1 Qngj L, College of Informaton and Electrcal Engneerng, Shenyang Agrculture Unversty, Shenyang 110866,
The impact of hard discount control mechanism on the discount volatility of UK closed-end funds
Investment Management and Fnancal Innovatons, Volume 10, Issue 3, 2013 Ahmed F. Salhn (Egypt) The mpact of hard dscount control mechansm on the dscount volatlty of UK closed-end funds Abstract The mpact
Estimating Total Claim Size in the Auto Insurance Industry: a Comparison between Tweedie and Zero-Adjusted Inverse Gaussian Distribution
Avalable onlne at http:// BAR, Curtba, v. 8, n. 1, art. 3, pp. 37-47, Jan./Mar. 2011 Estmatng Total Clam Sze n the Auto Insurance Industry: a Comparson between Tweede and Zero-Adjusted Inverse Gaussan
10.2 Future Value and Present Value of an Ordinary Simple Annuity
348 Chapter 10 Annutes 10.2 Future Value and Present Value of an Ordnary Smple Annuty In compound nterest, 'n' s the number of compoundng perods durng the term. In an ordnary smple annuty, payments are
OLA HÖSSJER, BENGT ERIKSSON, KAJSA JÄRNMALM AND ESBJÖRN OHLSSON ABSTRACT
ASSESSING INDIVIDUAL UNEXPLAINED VARIATION IN NON-LIFE INSURANCE BY OLA HÖSSJER, BENGT ERIKSSON, KAJSA JÄRNMALM AND ESBJÖRN OHLSSON ABSTRACT We consder varaton of observed clam frequences n non-lfe nsurance,
Uncrystallised funds pension lump sum payment instruction
For customers Uncrystallsed funds penson lump sum payment nstructon Don t complete ths form f your wrapper s derved from a penson credt receved followng a dvorce where your ex spouse or cvl partner had
Benefits and Risks of Alternative Investment Strategies*
Benefts and Rsks of Alternatve Investment Strateges* Noël Amenc Professor of Fnance at Edhec Drector of Research and Development, Msys Asset Management Systems Lonel Martelln Assstant Professor of Fnance
Discount Rate for Workout Recoveries: An Empirical Study*
Dscount Rate for Workout Recoveres: An Emprcal Study* Brooks Brady Amercan Express Peter Chang Standard & Poor s Peter Mu** McMaster Unversty Boge Ozdemr Standard & Poor s Davd Schwartz Federal Reserve
REQUIRED FOR YEAR END 31 MARCH 2015. Your business information
REQUIRED FOR YEAR END 31 MARCH 2015 Your busness nformaton Your detals Busness detals Busness name Balance date IRD number Contact detals - to ensure our records are up to date, please complete the followng
The announcement effect on mean and variance for underwritten and non-underwritten SEOs
The announcement effect on mean and varance for underwrtten and non-underwrtten SEOs Bachelor Essay n Fnancal Economcs Department of Economcs Sprng 013 Marcus Wkner and Joel Anehem Ulvenäs Supervsor: Professor
Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy
4.02 Quz Solutons Fall 2004 Multple-Choce Questons (30/00 ponts) Please, crcle the correct answer for each of the followng 0 multple-choce questons. For each queston, only one of the answers s correct.
THE DETERMINANTS OF THE TUNISIAN BANKING INDUSTRY PROFITABILITY: PANEL EVIDENCE
THE DETERMINANTS OF THE TUNISIAN BANKING INDUSTRY PROFITABILITY: PANEL EVIDENCE Samy Ben Naceur ERF Research Fellow Department of Fnance Unversté Lbre de Tuns Avenue Khéreddne Pacha, 002 Tuns Emal : [email protected]
Number of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000
Problem Set 5 Solutons 1 MIT s consderng buldng a new car park near Kendall Square. o unversty funds are avalable (overhead rates are under pressure and the new faclty would have to pay for tself from
A system for real-time calculation and monitoring of energy performance and carbon emissions of RET systems and buildings
A system for real-tme calculaton and montorng of energy performance and carbon emssons of RET systems and buldngs Dr PAAIOTIS PHILIMIS Dr ALESSADRO GIUSTI Dr STEPHE GARVI CE Technology Center Democratas
Construction Rules for Morningstar Canada Target Dividend Index SM
Constructon Rules for Mornngstar Canada Target Dvdend Index SM Mornngstar Methodology Paper October 2014 Verson 1.2 2014 Mornngstar, Inc. All rghts reserved. The nformaton n ths document s the property
ADVERSE SELECTION IN INSURANCE MARKETS: POLICYHOLDER EVIDENCE FROM THE U.K. ANNUITY MARKET *
ADVERSE SELECTION IN INSURANCE MARKETS: POLICYHOLDER EVIDENCE FROM THE U.K. ANNUITY MARKET * Amy Fnkelsten Harvard Unversty and NBER James Poterba MIT and NBER * We are grateful to Jeffrey Brown, Perre-Andre
CHAPTER 14 MORE ABOUT REGRESSION
CHAPTER 14 MORE ABOUT REGRESSION We learned n Chapter 5 that often a straght lne descrbes the pattern of a relatonshp between two quanttatve varables. For nstance, n Example 5.1 we explored the relatonshp
