Mortality Regimes and Pricing Samuel H. Cox University of Manitoba Yijia Lin University of Nebraska - Lincoln Andreas Milidonis University of Cyprus &

Slides:



Advertisements
Similar presentations
Equity-to-Credit Problem Philippe Henrotte ITO 33 and HEC Paris Equity-to-Credit Arbitrage Gestion Alternative, Evry, April 2004.
Advertisements

Change of Time Method in Mathematical Finance Anatoliy Swishchuk Mathematical & Computational Finance Lab Department of Mathematics & Statistics University.
Modeling of Variance and Volatility Swaps for Financial Markets with Stochastic Volatility Anatoliy Swishchuk Department of Mathematics & Statistics, York.
A State Contingent Claim Approach To Asset Valuation Kate Barraclough.
A stochastic optimal timing approach to modelling the transformation of agricultural systems subject to climate change.
Extended Logistic Model for Mortality Forecasting and the Application of Mortality-Linked Securities Yawen, Hwang, Assistant Professor, Dept. of Risk Management.
Longevity Risk Management and Static Hedging for Life and Variable Annuities Sixth International Longevity Risk and Capital Markets Solutions Conference.
Reference : Chou-Wen Wang, Hong-Chih Huang, Yuan-Chi Miao, 2010, Securitization of Crossover Risk in Reverse Mortgages 1.
Estimating Value at Risk via Markov Switching ARCH models An Empirical Study on Stock Index Returns.
Euro-Philippine Network in Banking and Finance Markov-Switching Market Risk Carlos Bautista Daniel Goyeau Joel Yu 27 August 2007 International Conference.
Financial Markets with Stochastic Volatilities Anatoliy Swishchuk Mathematical and Computational Finance Lab Department of Mathematics & Statistics University.
Modelling and Pricing of Variance Swaps for Stochastic Volatility with Delay Anatoliy Swishchuk Mathematical and Computational Finance Laboratory Department.
How to prepare yourself for a Quants job in the financial market?   Strong knowledge of option pricing theory (quantitative models for pricing and hedging)
Spot Price Models. Spot Price Dynamics An examination of the previous graph shows several items of interest. –Price series exhibit spikes with seasonal.
CSE 221: Probabilistic Analysis of Computer Systems Topics covered: Statistical inference (Sec. )
HDD and CDD Option Pricing with Market Price of Weather Risk for Taiwan Hung-Hsi Huang Yung-Ming Shiu Pei-Syun Lin The Journal of Futures Markets Vol.
CSE 221: Probabilistic Analysis of Computer Systems Topics covered: Statistical inference.
Simultaneous Forecasting of Non-stationary conditional Mean & Variance Speaker: Andrey Torzhkov September 25 th, 2006.
Introduction to Modern Investment Theory (Chapter 1) Purpose of the Course Evolution of Modern Portfolio Theory Efficient Frontier Single Index Model Capital.
Empirical Evidence on Security Returns
Systems of Index Numbers for International Price Comparisons Based on the Stochastic Approach Gholamreza Hajargasht D.S. Prasada Rao Centre for Efficiency.
1 CHAPTER 14 FORECASTING VOLATILITY II Figure 14.1 Autocorrelograms of the Squared Returns González-Rivera: Forecasting for Economics and Business, Copyright.
7-1 Introduction The field of statistical inference consists of those methods used to make decisions or to draw conclusions about a population. These.
© IFP OIL MARKET VOLATILITY : AN ECONOMETRIC ANALYSIS OF THE INTERACTIONS BETWEEN THE CRUDE OIL MARKET, THE GAS OIL AND THE GASOLINE MARKETS Frederic LANTZ,
Longevity Risk, Rare Event Premia and Securitization 08/06/2007 ARIA Annual Meeting 2007 Longevity Risk, Rare Event Premia and Securitization By Yijia.
Ewa Lukasik - Jakub Lawik - Juan Mojica - Xiaodong Xu.
H. Chen, S.H. Cox, and J. Wen Longevity 5 Conference September 26, 2009Multivariate Threshold Life Table 1 Pricing Mortality-linked Securities with Dependent.
Isolated-Word Speech Recognition Using Hidden Markov Models
1 A Study of Incidence Experience for Taiwan Life Insurance Jack C. Yue and Hong-Chih Huang 2010/09/10 National Chengchi University Sixth International.
IS THE THAI LABOUR MARKET SEGMENTED? ANALYSIS USING THE SWITCHING MODEL WITH UNKNOWN REGIME by KUMLAI Jongkon PhD. Student in Economics at Laboratoire.
Discussion: Risk and Valuation of Contingent Catastrophe Bonds by Daniel Bauer and Florian Kramer Discussion by Patrick Brocket Longevity 5: Fifth International.
ERES2010 page. Chihiro SHIMIZU Estimation of Redevelopment Probability using Panel Data -Asset Bubble Burst and Office.
Book Review: ‘Energy Derivatives: Pricing and Risk Management’ by Clewlow and Strickland, 2000 Chapter 3: Volatility Estimation in Energy Markets Anatoliy.
Presented By Dr. Paul Cottrell Company: Reykjavik.
Wei Sun Renmin University, Hanqing Advanced Institute of Economics and Finance and School of Finance Anthony Webb Center for Retirement Research at Boston.
R. Bhar, A. G. Malliariswww.bhar.id.au1 Deviation of US Equity Return Are They Determined by Fundamental or Behavioral Variables? R. Bhar (UNSW), A. G.
3-4-Dec-07 Meeting of the Working Group “Agricultural Accounts and Prices” Calculation of Fixed Capital Consumption (Doc. ASA/AAP/096)
Various topics Petter Mostad Overview Epidemiology Study types / data types Econometrics Time series data More about sampling –Estimation.
McGraw-Hill/Irwin Copyright © 2005 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 13 Empirical Evidence on Security Returns.
Determinants of Capital Structure Choice: A Structural Equation Modeling Approach Cheng F. Lee Distinguished Professor of Finance Rutgers, The State University.
Profit Margins In General Insurance Pricing (A Critical Assessment of Approaches) Nelson Henwood, Caroline Breipohl and Richard Beauchamp New Zealand Society.
Estimating Credit Exposure and Economic Capital Using Monte Carlo Simulation Ronald Lagnado Vice President, MKIRisk IPAM Conference on Financial Mathematics.
Helmholtzstraße 22 D Ulm phone+49 (0) 731/ fax +49 (0) 731/ It Takes Two: Why Mortality Trend Modeling is more.
Extending the Logistic Model for Mortality Forecasting and the Application of Mortality-Linked Securities Hong-Chih, Huang Yawen, Hwang Department of Risk.
Fin 500R: Topics in Quantitative Finance Tiana Li 9/30/2015.
©2015 : OneBeacon Insurance Group LLC | 1 SUSAN WITCRAFT Building an Economic Capital Model
SECURITIZATION OF MORTALITY RISKS IN LIFE ANNUITIES YIJIA LIN AND SAMUEL H. COX Доклад подготовила студентка 61УРАМ Ящук М.
© K.Cuthbertson, D. Nitzsche FINANCIAL ENGINEERING: DERIVATIVES AND RISK MANAGEMENT (J. Wiley, 2001) K. Cuthbertson and D. Nitzsche Lecture Asset Price.
Data Mining in Finance, 1999 March 8, 1999 Extracting Risk-Neutral Densities from Option Prices using Mixture Binomial Trees Christian Pirkner Andreas.
CIA Annual Meeting LOOKING BACK…focused on the future.
Comment on “Mortality-Indexed Annuities: Avoiding Unwanted Risk” Jack C. Yue National Chengchi University September 26, 2009.
1/18 New Feature Presentation of Transition Probability Matrix for Image Tampering Detection Luyi Chen 1 Shilin Wang 2 Shenghong Li 1 Jianhua Li 1 1 Department.
Chapter 23 Volatility. Copyright © 2006 Pearson Addison-Wesley. All rights reserved Introduction Implied volatility Volatility estimation Volatility.
Exiting the Health Insurance Market as a Rational Choice: Demand for Health Insurance in a Learning Model Author: Rahul Jain Discussant: Samuel Hsin-yu.
Crude Oil Price Volatility Ana María Herrera, Liang Hu, Daniel Pastor March 22, 2013.
Real Option Valuation Lecture XXX.  Moss, Pagano, and Boggess. “Ex Ante Modeling of the Effect of Irreversibility and Uncertainty on Citrus Investments.”
Hedge Fund Risk Premium Calculation by Wang Transform International AFIR Colloquium 2003 YAMASHITA, Miwaka, CFA Tokio Marine Financial Solutions Ltd.
Discussion of Mortality Compression and Longevity Risk Discussed by Yijia Lin University of Nebraska - Lincoln Fifth International Longevity Risk and Capital.
Discussion of Extended Logistic Model for Mortality Forecasting and the application of Mortality- Linked Securities by Ya-Wen Hwang Hong-Chih Huang Colin.
Hua Chen and Samuel H. CoxAugust 31, 2007 Modeling Mortality with Jumps: Transitory Effects and Pricing Implication to Mortality Securitization 1 Hua Chen.
Mortality and Longevity Research Mortality Working Group IAA Meeting, St Petersburg, Russia Friday May Michael Sherris CEPAR, AIPAR UNSW Business.
Optimal Longevity Risk Transfer and Investment Strategies
Anatoliy Swishchuk Mathematical and Computational Finance Laboratory
Liquidity Premia & Transaction costs
FTCS Explicit Finite Difference Method for Evaluating European Options
1.
LOOKING BACK…focused on the future
Empirical Evidence on Security Returns
Dr Han Li Macquarie University
The Life Insurance Demand in a Heterogeneous-Agent Life Cycle Economy
Presentation transcript:

Mortality Regimes and Pricing Samuel H. Cox University of Manitoba Yijia Lin University of Nebraska - Lincoln Andreas Milidonis University of Cyprus & University of Manchester Presented at Fifth International Longevity Risk and Capital Markets Solutions Conference New York City, NY September 26,

Figure 1. US population mortality index from 1901 to 2005 Mortality Regimes and Pricing2 Mortality Regimes - Motivation

 Describe mortality changes through different means and volatilities in the various switching states  Reflect different natures of mortality evolutions  Accommodate non-normality features Mortality Regimes and Pricing3 Mortality Regime Switching Model

 Regime Switching models have been constructed to:  Model dynamics in population mortality indices  Extend the Lee-Carter (1992) model  Results of proposed Regime Switching models have been benchmarked to existing models  Price mortality/longevity security to show the economic significance of modeling different mortality regimes through Changes in market price of risk Changes in call option premiums Mortality Regimes and Pricing4 Outline

 Mortality log change rate  Markov process with two regimes:  Markovian probability transition matrix where, j = 1 or 2; k = 1 or 2. Mortality Regimes and Pricing5 RS-GBM model for Modeling US Population Mortality Index

Figure 2 Conditional Probability of US Population Mortality Index Classified in High Volatility Regime Mortality Regimes and Pricing6

 Geometric Brownian motion  Lin and Cox (2008) Model where Mortality Regimes and Pricing7 Competing Models for US Population Mortality Index

Table 2 Maximum Likelihood Parameter Estimates of Competing Models Mortality Regimes and Pricing8

9 Is Modeling Changes in Mortality Regimes Important?

Mortality Regimes and Pricing10 Is Modeling Changes in Mortality Regimes Important? (Cont’)  Wang transform

 Lee-Carter (1992) model where  We model as RS-normal where and Mortality Regimes and Pricing11 Improving the Lee-Carter Model with Regime Switching Model

Figure 4 Conditional Probability of Error Term Classified in Low Volatility Regime Mortality Regimes and Pricing12

Table 7 Maximum Likelihood Parameter Estimates of Competing Models Mortality Regimes and Pricing13

 Longevity Call Option  Esscher Transform Mortality Regimes and Pricing14 Pricing Longevity Securities with RS Models

Mortality Regimes and Pricing15 Table 8 15-year Longevity Call Option Premiums on per $100,000 Notional Amount Table 9 20-year Longevity Call Option Premiums on per $100,000 Notional Amount

 We propose two regime switching models in the mortality context  Model the dynamics of the population mortality index  Extend the Lee-Carter (1992) model  We find the statistical improvement provided by our proposed regime switching models relative to some existing mortality stochastic models.  We show how to apply mortality regime switching models to price longevity securities. Mortality Regimes and Pricing16 Conclusions