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We examine the relation between investor sentiment proxies and the risk neutral skewness of S&P 500 index option. The risk neutral skewness is estimated by the method of Bakshi, Kapadia and Madan (2003), which is non-parametric method, and the interpolation-extrapolation method and trapezoidal rule is used. We use four sentiment proxies: Michigan Consumer Sentiment Index, non-commercial trader's net position of S&P 500 futures market, Baker and Wurgler (2006)'s sentiment index, and bull-bear survey of American Association of Individual Investors. We firstly conduct the regression to find the general relations of two variables, and then examine the lead-lag relation between investor sentiment proxies and risk neutral skewness through VAR analysis. Contrary to the previous studies, we observe that sentiment proxies show different signs by the economic conditions. Overall, the sentiment proxies explain the three-dimension moment better in the crisis in U.S, and especially non-commercial trader's net position of S&P 500 futures market explains bet among the proxies.

This paper investigates the relative importance of the skewness and kurtosis of the risk neutral distribution for pricing KOSPI200 options. The skewness and kurtosis are estimated from non parametric method of Bakshi, Kapadia, and Madan (2003) and the parametric method of Corrado and Su (1996). We show that the skewness of the risk neutral distribution is more important factor than the kurtosis irrespective of the estimation method, the definition of pricing errors, the moneyness, the type of options and a period of time.

For the KOSPI 200 index options market. we examine the power of influence on pricing options of the skewness and the kurtosis of the risk neutral distribution. We compare the Black and Scholes (1973) model which does not consider the skewness or the kurtosis of the risk neutral distribution with Corrado and sue 1996)’s model which consider both the skewness and the kurtosis and the models which consider only the skewness or the kurtosis.

It is found that Corrado and sue 1996)‘s model which consider both skewness and kurtosis shows the best performance closely followed by the model which consider only the skewness for tile in-sample pricing and the out-of-sample pricing. As a result. it contributes to pricing options to consider both skewness and kurtosis and the skewness is more important factor for pricing options than the kurtosis.

This paper investigates a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on bibliometric. JDQSs yearly publications, citations, impact factors, and centrality indices grew up in early 2010s, and diminished in 2020. Keyword network analysis reveals the JDQS's main keywords including behavioral finance, implied volatility, information asymmetry, price discovery, KOSPI200 futures, volatility, and KOSPI200 options. Citations of JDQS articles are mainly driven by article age, demeaned age squared, conference, nonacademic authors and language. In comparison between number of views and downloads for JDQS articles, we find that recent changes in publisher and editorial and publishing policies have increased visibility of JDQS.

There are two ad hoc approaches to Black and Scholes model. The “relative smile” approach treats the implied volatility skew as a fixed function of moneyness, whereas the “absolute smile” approach treats it as a function of the strike price. Previous studies reveal that the “absolute smile” approach is superior to the “relative smile” approach as well as to other sophisticated models for pricing options. We find that the time to maturity factors improve the pricing performance of the ad hoc procedures and the superiority of the “absolute smile” approach still holds even after the time to maturity is considered.

This paper investigates the lead-lag relationship between the call-put options open interest value ratio and the KOSPI 200 Index returns. In addition, we tried to find whether the open interest value ratio has the information contents about KOSPI 200 Index return. When estimating call-put options open interest value ratio, we use Chen, Lung, and Tay (2005, 2009) models. The sample period covers from January 5, 1998 to December 28, 2006 with the closing price returns of KOSPI 200 Index and the open interest of the KOSPI 200 options. We use statistical methodology such as VAR (vector autoregressive model), Granger causality test, impulse response and variance decomposition model for the dynamic empirical tests.

Followings are the major findings and implications drawn from the empirical analysis of the Korean options market. Most previous researches claims that options open interest can provide the information contents to estimate the KOSPI 200 spot price movement. However, unlike the results of most previous researches, we found that the call-put options open interest value ratio does not have the information contents predicting the KOSPI 200 index return where as KOSPI 200 spot price leads the call-put options open interest value ratio.

In this paper, we examine whether the risk neutral skewness and kurtosis from S&P 500 options have information for predicting the higher moments of the stock returns called skewness and kurtosis, which contain the important information for forecasting potential crash, spike upward and the fluctuations of stock index. We find that the implied risk neutral skewness and kurtosis does not provide the information contents for predicting the higher moments of S&P 500 index return, after eliminating the overlapping data. All the results are robust to the alternative measures of risk neutral moments from options prices, the sub-periods and forecasting periods.

This paper investigates the lead-lag relationship between the call-put options trading value ratio and the KOSPI 200 returns using Chen, Lung, and Tay (2005, 2006)’s model. We report the evidence conSistent with a pooling equilibrium or that informed trades are executed in both equity and options markets when using all options. That is, KOSPI 200 index options and KOSPI 200 are closely interrelated. However, in case of using the short-term or out-of-the-money options, call-put oPtions trading value ratio uni-directionally leads KOSPI 200 index returns. Also under the volatile market condition, the lead effect of call-put options trading value ratio to KOSPI 200 index returns becomes stronger.

This article examines the information contents in the implied volatility spread between the KOSPI200 at-the-money puts and calls with the same strike price and maturity. Using 1-minute KOSPI200 index and options data, our study shows that the volatility spread leads KOSPI200 index return for about 30 minutes during the entire sample period. Moreover, our study reveals that the volatility spread is an independent information source even after using the implied skewness parameter as an additional controlled variable, and that the volatility spread leads the index much more than the skewness paremeter does. We also conduct impulse response tests and variance decomposition based on the VAR model, and the results also show that the volatility spread has the most significant influence on the other variables. Finally, we conduct regression analysis to find whether the extremely bullish or bearish markets affect the informationality of volatility spread, and the results show that the information contents decrease when the market is in an extreme condition.

This paper investigates the effects of risk neutral distribution (RND) from option prices on the distribution of the underlying asset. More specifically, we focus on the third moment of distribution, called skewness, which contains important information predicting the jumps of stock index. The sample period covers from January 2002 to July 2006 with the closing price returns of KOSPI200 Index and the KOSPI200 options. The skewness of the risk neutral distribution is estimated from non-parametric method of Bakshi et al.(2003) and the parametric method of Corrado and Su (1996). When estimating the skewness of the underlying assets, we employ Chen et al.(2001) model and calculate the historical skewness from the1-month ahead return underlying asset. Using statistical methodology such as VAR (Vector Autoregressive model), Granger causality test, impulse response and variance decomposition model, we examine whether the skewness of the underlying asset responds to the change of the implied RND. Followings are the major findings and implications drawn from the empirical analysis of the Korean options market. First of all, skewness of options estimated from non-parametric method have information contents predicting the third-moment of KOSPI200 index return whereas skewness of options estimated from parametric method does not have any information forecasting the skewness of KOSPI200 index return.