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In this paper, we analyze the trading patterns of investors around the bubble events selected for stocks traded in Korean Stock Market from 1999 to 2013, whose holding period returns exceed 200% for 250 trading days prior to the event and then drop subsequently below -50% thereafter for the next 250 trading days. We examine whether individual investors, commonly known as noise traders, drive the bubbles, and whether institutional investors and foreign investors, known as informed traders, take an arbitrage position to shrink the pricing errors or ride the bubbles to maximize their profits. We also examine whether individual investors suffer losses due to their disposition effect even after the bubble bursts.

Major findings of this paper are as follows : First, we find that individual investors are actually shown to drive the bubbles in our full sample, whereas the burst of the bubbles are largely driven by institutional investors and foreign investors. In particular, it is shown for large-cap stocks that foreign investors take the lead in raising the price at an early stage of the bubbles and then institutional investors follow them until the bubble peak point. Second, for mid-cap and large-cap stocks, institutional investors are found to ride the bubbles from about 75 days prior to the bubble peak point, when foreign investors reverse their trades and start selling to realize profits. Such bubble riding behavior of institutional investors is consistent with the synchronization risk model of Abreu and Brunnermeier (2002, 2003), where it is optimal for informed traders to ride the bubbles until all of informed traders start selling at the bubble peak point. Third, individual investors are found to suffer losses as they keep buying the bubble stocks even after the bubble bursts due to their disposition effect.

We analyze trading performance of domestic and foreign investors in the KOSPI200 index futures markets in Korea over various holding periods from each transaction time to 20 trading days. We find that foreign non-brokerage firms (including investment trust, pension fund, bank and insurance) trade at a disadvantageous price compared to domestic investors, i.e., buying at a higher price by about 5bp and selling at a lower price by about 6bp during the sample period (May 1996∼Dec. 1999). The magnitude of the disadvantageous price is close to the opportunity loss attributable to their intraday momentum strategy. In contrast, foreign brokerage firms trade at a somewhat advantageous price relative to domestic investors, but not always do so. By extending holding periods up to 20 trading days after each trade, we find that foreign investors and domestic brokerage firms who made large buy or sell trades show significantly higher holding period returns, indicating that they possess superior ability to predict future price movements.

The option pricing model of Black and Scholes (1973) shows that an option contract is redundant in a complete market as it can be completely replicated by its underlying assets and risk free assets. However, in a real world of incomplete markets, many studies have shown that option contracts are not redundant and can affect prices and trade volume of underlying assets as they contribute to the market completeness. Thus, this paper examines whether this holds for ELWs (Equity-Linked Warrants) in Korean stock market, which are well known to have the same function as option contracts. To do this, we analyze the effects of ELW listings on underlying stocks’ prices, trade volume, and volatilities, and test whether ELWs contribute to market completeness. Using the daily trading data of 5,799 ELWs on individual stocks from December 2005 to September 2011, we find that underlying stocks show significantly positive cumulative abnormal returns (CAARs) and abnormal trade volume after ELW listing dates, implying that the ELW listing affects significantly positive effects on prices and trade volume of underlying stocks. The volatility of underlying stocks is significantly decreasing after the ELW listing. The systematic risk measured as beta, however, does not change over the event window. This result indicates that the decrease in volatility of underlying stocks comes from the decrease of unsystematic risks, and the correlations between returns of market index and underlying stocks are increasing after the ELW listing. The result that ELW listing can have significant effects on the underlying market implies that current stock market is incomplete, and thus, it is natural to ask whether ELWs can contribute to market completeness. Using the method suggested by Buraschi and Jackwerth (2001), we examine whether ELWs are necessary to replicate the pricing kernel used in asset pricing. We select risk-free asset, underlying stock and ELW as reference assets to replicate the pricing kernel, and find that the pricing kernel cannot be replicated completely without ELWs. This result implies that ELWs are not redundant financial assets and are necessary to increase the market completeness in Korean stock market.

We illustrate empirically the use of return-based style analysis for domestic stock funds. We search the optimal style model according to the tracking errors, investigate the consistency of the fund style for the optimally selected model, and finally investigate the relationship between fund styles and their fund performance. We use weekly fund return data of domestic stock funds from January 2, 2002 to June 30, 2008, and do style analyses based on the various style indices. The major findings are as follows.

Firstly, we find that the style index models with constraint which in practice restricts short sale are better than those with no such constraint. Secondly, we find that the style index model which divides stock market with four categorized indices based on the dimension of size and book-to market and includes the bond market index is the most useful if they are evaluated based on the out-of-sample tracking errors. While adding the Fama-French 3 factors to the selected model does not improve the explanation power, adding the industry sector indexes improves the explanation power. Thirdly, we investigate the consistency of the fund style models and find that the better performing funds are more volatile in the change of the fund style. Fourthly, we find that, contrary to the expectation that the growth-oriented funds perform better than the value-oriented one, the fund performance and style are observed to be mixed. This finding shows that the fund styles are frequently changed according to their performances and market conditions.

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.