It is believed that the value of common stock is the sum of the values of cash flow and voting rights. According to Zingales(1994), the value of voting rights is increasing as the private benefits of control is getting greater. We show that the stock price reflects the value of voting rights when two party is fighting to get the control power of the firm. This paper also shows the existence of the voting right capture strategy, which is a profit seeking strategy that consists of buying stocks before the date of record and selling those stocks right after the date of record. In addition, we find some supporting empirical evidences of the existence of the voting right capture strategy from a sample of 17 domestic companies which experienced keen control power conflicts between 2000 and 2006.

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This paper presents existence and sources of long-term reversal in the Korean stock market. During the past 15 years, return reversals from the past performances of individual stocks, which are listed in the Korean Stock Exchange, existed significantly, in terms of buy-and-hold abnormal returns. We found that cross-sectional contrarian premiums over 1- to 36-month holding periods were significantly positive during the period of Aril, 1987 to April, 2002. The sources of these premiums, however, were differently analyzed according to the past portfolio formation periods. In the 12 months formation period, the contrarian premiums were found to result mainly from the systematic risk factors of Fama-French 3 factor model, but the premiums in the 24 and 36 months formation periods were not due to the systematic risk factors, but to the hypothesis of behavioral finance that the overreaction increases with the length of formation period. Additionally, we analyzed the sources of contrarian premiums in the two sub-sample periods, up- and down-market periods. In the down market period, co-skewness factor premiums were found to play an important role for explaining the contrarian premiums, but in the up market period, contrarian premiums were found to be an evidence of weak-form market inefficiency which could not be explained from any asset pricing model.

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We examined how the illiquidity premium affects the portfolio returns for all the stocks listed on the Stock Market Division and the KOSDAQ Market Division of the Korea Exchange (KRX). We used the daily relative spread as a proxy variable for illiquidity which was calculated using the bid-ask spread for each stock at the daily closing session. We estimated the beta using weekly returns for each stock. Our sample period runs 10 years, from April 1996 to March 2006. Our conclusions are as follows. First, using the cross-sectional regressions presented in Fama and Macbeth(1973), we found that the relative spread is a significant and robust characteristic variable in explaining the expected excess return for each portfolio. The explanatory power of the relative spread for the expected excess return was significant for all the regression models. Second, using the time-series regressions presented in Fama and French(1993), the illiquidity risk factor IMV explained the expected portfolio excess return in about 60% of all portfolios. However, in the case of the KRX data, the economic significance of IMV was limited; The single-factor model that used IMV as its sole factor explains the expected portfolio excess return. However, no other meaningful model specification was found when combining or using other explanatory factors like the market risk factor MKT, the size factor SMB or the B/M factor HML. This is in contrast to the case of US markets for which SMB and HML reportedly have their own economic significance when added to a single-factor model that uses MKT. Third, analyzing two market divisions of the KRX separately by multiple regressions, we found that the statistical significances of relative spread in the Stock Market Division was very strong, while the statistical significance in the KOSDAQ Division was weak. In addition, we made a robustness check of cross-sectional and time-series analyses using the beta estimated by using daily returns for each stock and found that the explanatory power of relative spread for the expected excess return for each portfolio became very limited. This suggests that the economic significance of relative spread differs from the stock returns we use to estimate beta.

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We empirically examine a hypothesis that day-traders in Korean stock market provide liquidity. Since day-traders submit orders frequently and are considered to be more sophisticated than other individuals, they behave almost like dealers. As dealers in a quote-driven stock exchange trade frequently and consider their inventory risk, day-traders do the same even though they may not realize their trading as dealer-like trading. In this paper, we define a trader who buys and sells a stock at least one times in a day as a day-trader. As robustness checks, we use different definitions of a day-trader and the results are almost the same. Based upon this definition, in Korean stock market, almost 30% of trading belongs to day-trading. This high percentage also insures the importance to analyze day-trading in Korean market. To analyze whether day-traders provide liquidity, first we investigate which type of orders day- traders submit most. Day-traders submit more best bid/ask orders compared to other traders. Also, day-traders who trade more frequently seem to behave more like liquidity providers. Since liquidity provision is most beneficial in trades of less frequently traded stocks, i.e. presumably less liquid stocks, we compare the trading behaviors of day-traders across different stocks. The less trading a stock has, the more effective day-traders' trading in terms of liquidity provision. The spread of prices is decreased more and depth is increased more for stocks with less trading. Since we do not have official liquidity providers in the Korean stock exchange (an order-driven market) such as dealers in the NASDAQ, day-traders' function as liquidity providers seem to be beneficial especially for illiquid stocks. We also investigate how day-trading in a period affects the liquidity in the next period. If there exists more day-trading and resulting liquidity provision, more other traders feel like trading without worrying about liquidity. This additional trading from others actually improves the market liquidity much more than the effect from day-trading. By looking into the spread, depth, and market impact cost in the next period following day-trading, we observe that day-trading in a period actually improve the market condition. However, we also find the limitation of day-trading effect on liquidity that day-trading cannot sustain its liquidity provision long and large enough especially for less liquid stocks. Since these less liquid stocks need most liquidity provision, we acknowledge that liquidity provision by day-traders should be supplemented to these stocks by specifically appointed liquidity providers, such as ones in the ELW market in Korea.

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This paper derives no arbitrage moment bounds from Fama and French 25 portfolios(FF25) and tests stochastic discount factor models through them. We compare the result of moment diagnosis test with that of generalized method of moment(GMM) test and Hansen and Jagannathan(1997)’s minimum distance(H-J distance) test. The result is the following. The greatest lower bound of moment for FF25 is marginally increasing with the order of moment. This phenomenon is inferred to be occurred from fat-tail property in security market data including FF25. But most of constant parameter models in our research do not satisfy these moment conditions from the second to the fourth and therefore cannot be among no arbitrage stochastic discount factor set for FF25. But some of time-varying parameter models in our research satisfy these conditions and some of them are not rejected at given significance level in H-J distance test. This implies that instrumental variables in conjunction with models are effective to price FF25.

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