À繫¿¬±¸ Á¦ ±Ç È£ (2010³â 11¿ù)
Asian Review of Financial Research, Vol., No..
pp.630~650
pp.630~650
Black-Scholes implied volatilities as volatility predictors
Jungyeon Yoon Korea Banking Institute, Seoul, Korea
Eric Renaulty Department of Economics, UNC-Chapel Hill, NC, USA
Despite the success and the user-friendly features of Black-Scholes (BS) pricing, many em- pirical results in the option pricing literature have shown the departures from the BS model. The motivation of this paper starts from these departures. Generalized Black-Scholes (GBS) formula, derived by a proper conditioning in a general mixture framework in the previous studies, allows us to keep analytic tractability under stochastic volatility model. Based on this formula, we provide a new prospective on the forecasting ability and information content of the BS implied volatility in the presence of nonzero leverage eect. The leverage eect, which is the correlation between the return and volatility process, is introduced to model the observed Black-Scholes implied volatility (BSIV) smile and its skewness. We provide a simple theoretical framework that explains and justies the use of BSIV from at-the-money option for the volatility forecast. Based on this and simulation study, which show the sensi- tivity of the concavity of option price with respect to the underlying stock price (the \gamma eect"), we propose a new a
Jungyeon Yoon
Eric Renaulty
Despite the success and the user-friendly features of Black-Scholes (BS) pricing, many em- pirical results in the option pricing literature have shown the departures from the BS model. The motivation of this paper starts from these departures. Generalized Black-Scholes (GBS) formula, derived by a proper conditioning in a general mixture framework in the previous studies, allows us to keep analytic tractability under stochastic volatility model. Based on this formula, we provide a new prospective on the forecasting ability and information content of the BS implied volatility in the presence of nonzero leverage eect. The leverage eect, which is the correlation between the return and volatility process, is introduced to model the observed Black-Scholes implied volatility (BSIV) smile and its skewness. We provide a simple theoretical framework that explains and justies the use of BSIV from at-the-money option for the volatility forecast. Based on this and simulation study, which show the sensi- tivity of the concavity of option price with respect to the underlying stock price (the \gamma eect"), we propose a new a
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