Applications Flashcards
Describe the three broad solutions used by insurers to match their VA balance sheet exposures
Asset Transfer Programs
- reallocate client discretionary funds based on ITM and policy duration
- higher fixed income allocation when ITM (AV < BB)
- lower fixed income allocation when OTM (AV > BB)
Volatility-Managed/Risk-Controlled Funds
- fund features dynamically rebalance allocation to equities depending on a target for realized volatility
- equity/fixed income allocation positions are adjusted in response to market signals of risk
- Capped Volatility - cap expected volatility if fund returns at some level
- Target Volatility - target and maintain a constant volatility level of fund returns
- Capital Preservation - fund risk position declines if prior performance is poor, or if positions are used to hedge company guarantees
Market-Linked Rider Fees
- fee feature that adjusts the level of rider fees ties to a prevailing market index
- VIX fees - higher VIX means higher fees
- US Treasury Indexed - lower IRS means higher fees
Describe the three challenges of “first generation” solutions
Performance Benchmarking
- improper benchmarks used (such as S&P for risk control)
- clients oversold on benefits of volatility management had false expectation, creating dissatisfaction in bull markets
- lack of transparency caused investors to blame underperformance on risk-control features
Loss of Upside Potential
- risk management reduces risk but also expected returns
- loss of upside means less beneficial to policyholders
Clarity of Investment Thesis
- difficult for policyholders to understand risk management solutions
- growing skepticism due to “black box” features
- policyholders unable to distinguish if policies are beneficial to them
Describe three objectives of risk management for insurers
Write profitable business - Guarantee Cost
Stabilize ALM and hedging performance - hedge ratios, hedgeability, basis risk
Optimize capital requirements - reserve impact, volatility
Describe three objectives of risk management for policyholders
Maintain upside investment potential - return and volatility, long term equity allocation, cumulative fees
Minimize impact to guarantee value - guaranteed income levels
Describe parameter considerations for the “next generation” approach
Capped Volatility - trigger level for the volatility cap - goal to minimize tail risk VIX-Indexed Fees - fee floor and ceiling - VIX target - slope - sensitivity to VIX movement - cap on periodic changes - goal to minimize body risk
State key formulas for Asset Transfer Programs
Guarantee Ratio: 1 - AV/BB
Threshold: min(50%, 10% + Policy Duration * 2%)
Fixed Income Allocation: (Guarantee Ratio - Threshold) / Band
- band is another arbitrary parameter (10% in reading)
State formulas for Capped Volatility
21 day realized volatility: sqrt((252*sum of 21-days worth of returns^2)/(21))
Equity Ratio: min(100%, Volatility Cap Trigger / Realized Equity Volatility)
State formulas for target volatility
Equity Ratio: min(110%, Volatility Target / Realized Equity Volatility)
State formulas for VIX Indexed Fees
Fee = Base Fee + VIX Sensitivity Slope*(VIX - VIX target)
- usually subject to caps and floor, maximum movement per period (quarter)
Define model risk in the context of hedging
Deviation between the financial market model that reflects the true state of the economy and the company hedging model
Describe the payoff structure of a VA with a GMDB and a GMAB
GMDB: max(A_t, G_t)
GMAB: max(A_T, G_T)
Payoff = max(A_t, G_t) = max(G_t - A_t, 0) + A_t
Describe how model risk impact hedge effectiveness
Less model risk, grater hedging effectiveness
Changes in the slope and curvature have a roughly equal impact on GMDB/GMAB and GMWB
Not hedging stochastic volatility has a greater impact than not hedging all the movements of the term structure
Describe how hedge P&L changes when adding a rho hedge for a VA rider
Little model risk, rho hedge significantly improves the hedging loss
More model risk, still significant reduction in RMSE of the hedged loss, but less impact on CTE
Interest rate risk important for both GMAB/GMDB and GMWB
Explain whether companies should hedge rho in a low interest rate environment
Rho hedge hurts profitability when IRs rise, but insurers can still benefit when rates remain low
Rho hedge still leads to a risk reduction across all scenarios
Describe the hedge impact on P&L using a delta - rho hedge
Hedged loss will tend to increase with stock market volatility
- makes sense because the hedge does not protect against vega from stochastic volatility in a real world financial market model
Describe how rebalancing frequency impacts hedge effectiveness
Little or no model risk, frequent rebalancing effective
Higher model risk reduced benefit due to larger accumulation of hedging errors
Describe the impact of using stochastic interest rates on hedging effectiveness
Using stochastic rates results in a greater reduction of hedging error for the GMDB/GMAB than the GMWB
GMWB more sensitive to the shape of the term structure (annuity type payoff)
- under realistic market environment, GMWB requires a more sophisticated interest rate model
Including a rho hedge is more important than including stochastic interest rates
State the benefit of using a historical measure of volatility
Method yields a stable estimate of volatility over time
Method is simple and easy to understand
State the drawbacks of using a forward looking measure of volatility
VAs have long maturities, and most implied volatility surfaces in the market only have 2-3 years term
Two different models calibrated to the implied volatility surface may lead to very different price and hedge ratios
Simulations shows using forward volatility can lead to worse hedging
State the five steps involved in the Volatility Target Mechanism
Choose time frequency
- h - length of time in years
- H - risky asset historical volatility estimate period
Set the volatility target
- typically calibrated as the historical volatility of the risky asset over the most recent time period of length H
Estimate V_t
- historical annualized volatility over H
Assign weights
Rebalance
State the three drawbacks of the volatility target mechanism
Works best in specific market environments
- failing and high volatility, rising and low volatility
Rule based nature of the strategy can cause significant losses in a nonstandard environment
May not be sufficient to solely define portfolio management decisions and should be combined with other asset allocation strategies
Describe sources of revenue from variable annuities
Rider charge - compensation for the cost of providing an investment guarantee
M&E fee - compensation for providing the base VA contract, administering, and servicing the product
Surrender charge - offset the cost of early lapse
Describes expenses for variable annuities
Acquisition costs - costs to bring the policy inforce (agent commissions, marketing, underwriting)
Hedging costs - cost to mitigate market risks from investment guarantees
Describe three ways the guarantee base of a VA can grow
Rollup - guarantee base accrues at a guaranteed rate
Step up/ratchet - guarantee base increases with account value at the end of each period
- Lifetime High Step Up: G_t+1 = max{G_t, F_t+1}
- Annual High Step Up: G_t+1 = G_t / F_t * max{F_t, F_t+1}
Rollup + Ratchet - takes the higher of the guarantees
