Sam-soo Kim, Jimmy Lockwood, L. Lockwood, Hong Miao
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Determinants of Put-Call Disparity: Kospi 200 Index Options
Abstract Many studies find that traditional option pricing models fail to work in practice. The implied volatility smile is one example. In this study, we examine deviations of spot prices from prices implied by put-call parity for Korean KOSPI 200 index options, one of the most actively traded derivative products in the world. Deviations are significant and economically meaningful across different moneyness categories spanning deep-in-the-money to deep-out-of-the-money options. Determinants of put-call disparities for the KOSPI 200 index options include past spot return moments, cognitive biases, and prior option trading volume relative to spot trading volume. We show mispricing is more likely to occur after periods of extreme downturns in the stock market, implying demand for put options increases relative to call options when investors become more likely to insure against extreme loss. We also show that put-call disparity rates have predictive power for future spot returns due to overreaction of KOSPI 200 index option traders, rather than to information contained in option prices.
期刊介绍:
In Journal of Behavioral Finance , leaders in many fields are brought together to address the implications of current work on individual and group emotion, cognition, and action for the behavior of investment markets. They include specialists in personality, social, and clinical psychology; psychiatry; organizational behavior; accounting; marketing; sociology; anthropology; behavioral economics; finance; and the multidisciplinary study of judgment and decision making. The journal will foster debate among groups who have keen insights into the behavioral patterns of markets but have not historically published in the more traditional financial and economic journals. Further, it will stimulate new interdisciplinary research and theory that will build a body of knowledge about the psychological influences on investment market fluctuations. The most obvious benefit will be a new understanding of investment markets that can greatly improve investment decision making. Another benefit will be the opportunity for behavioral scientists to expand the scope of their studies via the use of the enormous databases that document behavior in investment markets.