Basis Risk
Pin Chung
Basis Risk
Low Interest Rate Environments and Consequences
Risks Faced by Writers of Investment Guarantees
Variable Annuity in Asia post-2008
How did Variable Annuities Fare in the Crisis?
Traditional Life Insurance Products are Under Pressure
An Overview of Regulatory Requirements
Simulations
Economic Scenario Generators and Variable Annuities
Modelling and Managing Policyholder Behavioural Risks
Modelling and Managing Mortality and Longevity Risks
Valuation of Variable Annuity Guarantees
Understanding and Using Reinsurance Treaties for Guaranteed Products
Hedging of Long-term Fund-linked Exotic Options
Overview of Commonly Used Risk Management Strategies
Taxonomy of Equity, Interest Rate, Hybrid and Customised Derivatives Used for Risk Management
Managing Risks Underlying Variable Annuity Liabilities
Basis Risk
Measuring Hedge Effectiveness
Measuring and Reporting Hedge Efficiency
Eight Important Questions Practitioners Should Ask When Managing Equity-linked Insurance Guarantee Risks
In general, variable annuity (VA) writers can offer between 20 and 60 different funds to contract holders. The available range of funds typically covers a wide variety of investment styles, and consist of different types of assets, with most funds being actively managed – ie, their asset allocation is adjusted frequently to reflect the views of the fund’s manager. In most jurisdictions, it is not possible to short-sell these funds, which implies that they are not directly hedgeable – for example, to manage guarantees on these funds. To get round this problem, funds are related to more liquid indexes using a set of linear relationships called fund mapping. This procedure is used to determine a portfolio of hedgeable assets, usually equity indexes, which replicates the funds as close as possible. This portfolio is called a “surrogate portfolio” or a “replicating portfolio”. The surrogate portfolio can then be hedged rather than the funds.
Usually, but not always, fund mapping is performed by means of an ordinary least squared (OLS) regression using historical data of the fund and the indexes of its surrogate portfolio. As the returns of the funds can deviate from the returns of
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