
In this paper we assess the partial hedging problems by formulating hedging strategies that minimize conditional value-at-risk (CVaR) of the portfolio loss under stochastic interest rate environment. The combination of stochastic interest and CVaR hedging method makes the valuing approach more complex than the existing model with constant interest rate. We take up two issues in searching the optimal CVaR hedging strategy: given the initial capital constraint we minimize the CVaR of the portfolio loss; by prescribing a bound on the risk, we also minimize the hedging cost. As an illustration of this hedging technique we derive hedging strategies for a European call option with the Black Scholes setting under HJM framework; explicit formulas are presented. We also investigate CVaR hedging problems by using the real financial data.
Applied Mathematics and Statistics, Dynamic hedging, T57-57.97, Applied mathematics. Quantitative methods, QA273-280, Stochastic interet rate, Quantile hedging, HJM model, conditional value-at-risk, stochastic interest rate, dynamic hedging, quantile hedging, Probabilities. Mathematical statistics, Conditional value-at-risk
Applied Mathematics and Statistics, Dynamic hedging, T57-57.97, Applied mathematics. Quantitative methods, QA273-280, Stochastic interet rate, Quantile hedging, HJM model, conditional value-at-risk, stochastic interest rate, dynamic hedging, quantile hedging, Probabilities. Mathematical statistics, Conditional value-at-risk
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