Should Practitioners Apply a Truncated Process for Pricing and Hedging?
本文在截断Black-Scholes模型基础上引入确定性波动率函数，提出PTBS模型，并用标普500指数看涨期权数据验证其在定价和对冲上优于传统模型。
ABSTRACT This paper implements the deterministic volatility function (DVF) in the context of the truncated Black‐Scholes (TBS) model, which is identified as the truncated practitioners' Black‐Scholes (PTBS) model, and compares the pricing and hedging performance with the Black‐Scholes (BS), TBS, practitioners' BS (PBS) models. Using the S&P500 index call options data, we find that the PTBS model outperforms all in‐sample and out‐of‐sample regardless of moneyness. On weekly counts, the success rates of the PTBS model are significantly higher for both the in‐the‐money (ITM) and out‐of‐the‐money (OTM) options. The weekly approximation errors of delta and delta‐gamma approximations against full valuation for the PTBS model are lower than those of other models, and the PTBS model is more accurate and stable. The findings are robust to alternative sample variations.