Investment in private markets, formerly known as alternative investment, is increasing in Korea and elsewhere. The value of the assets managed by the National Pension Service (NPS) will reach USD 500 billion by the end of 2015 and is forecast to grow to USD 2.5 trillion over the next 30 years. The NPS is currently allocating around 10% of total assets to private markets, and will increase this to 14% within the next 5 years according to its mid-term asset allocation plan. As the Korean economy matures, financial assets held by institutional investors will grow exponentially, from USD 2 trillion in 2014 to USD 5 trillion over the next 30 years. As the local economy becomes saturated, huge growth in financial assets will flow to overseas markets, especially to private markets, which is the theme of this study. Global pension and endowment schemes are also increasing their investments in private markets as returns on fixed incomes have become very low following the financial crisis and the risk-return profile of equity is not attractive. Private markets provide diversification benefits and better returns for investors. Nevertheless, studies on private markets are limited in Korea. Previous international studies have focused on private equity dedicated to buyout and venture or on private equity real estate (PERE) funds. This comprehensive study included both private equity funds and various real asset funds such as real estate. Using Preqin’s database, a comprehensive global sample of the IRRs of 2,280 private equity funds and 380 PERE funds from 1985 to 2004 was analyzed. The IRR and standard deviation of various types of private equity fund that have not previously been studied (including not only buyout and venture but also growth, mezzanine, distressed and fund of funds) were analyzed. Various real assets such as real estate, infrastructure, resource and timber were also analyzed. Various types of real estate fund, such as debt, core, value-added, opportunistic and fund of funds, were included in the analysis. This is the first study to analyze the risk-return profiles of various assets, types of private equity and real estate funds. The Sharpe ratio concept of dividing IRR by standard deviation was used to determine the relative attractiveness of different assets in different regions. At the asset level, infrastructure was the most attractive, followed by real estate and private equity. However, type-level analysis gave a different result, and indicated that choice among different types of equity, assets and regions, is an important factor in explaining the risks and returns of private funds. Investors can use the risk-return profiles and information about relative attractiveness provided by this study to make decisions about asset allocation among different asset types in private markets in different regions. Humphery-Jenner studied how the diversification level of buyout and venture funds affected the performance of funds and concluded that diversification positively influenced the performance of funds due to knowledge sharing between different funds. There have been disagreements about whether diversification in industry or region has a positive or a negative effect on the performance of funds. This study extended Humphery-Jenner’s previous study to various types of private equity fund and real estate fund. Although Humphery-Jenner used Preqin’s industry classification, this study used the Global Industry Classification Standard (GICS) to improve objectivity. For geographic diversification, this study measured the number of continents rather than the number of countries, as used by Humphery-Jenner. For real estate, the number of property types, such as office, retail and residential, was measured. The same method was used to measure geographic diversification. The overall analysis of private equity funds agreed with Humphery-Jenner’s findings, confirming that industry and geographic diversification positively influenced fund performance. The number of industries and regions divided by the number of relevant staff negatively influenced fund performance, suggesting that staff numbers should increase as diversification increases. However, the results varied for each type of fund, and firms at different stages were affected differently by diversification. Early-stage venture funds showed benefits from industry diversification. However, the performance of growth funds was negatively associated with diversification, implying that growth funds benefit from concentration rather than diversification. Buyout and mezzanine funds investing in mature-stage firms were positively influenced by geographic diversification. Depending on the stage of the firm, fund managers may thus require either diversification or concentration in region and industry. In real estate, diversification had no effect on the performance of funds in both the overall market and at the individual type level. In conclusion, some types of private equity fund receive benefits from industrial or geographic diversification due to knowledge sharing. Growth funds benefit from concentration by focusing on the strengths of managers. Managers of other private equity funds and real estate funds may choose either diversification or concentration strategies.

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In recent years, concern about the economic polarization of large firms and small and medium-sized firms has drawn attention to the supply chain. Despite the economic and social importance of win-win cooperation between large firms and small and medium enterprises (SMEs), due to a lack of data there have been few analyses of the relationship between suppliers and large firms. This study investigates the accounting performance of the suppliers of large firms, and compares it with the accounting performance of the suppliers of other firms. Large firm buyers are defined as industry leading companies (the top two companies in an industry), and suppliers are the companies that sell to those firms. For a company to be defined as a supplier of a large buyer, that company’s sales to a large buyer should be more than 10 percent of its total sales. Sales data for the suppliers are taken from KED (Korea Enterprise Data), which provides transaction data from individual firms. Non-suppliers, those who do not sell to the large firms, are matched with the suppliers by asset size and 3-digit industry code. A total of 6,238 firm-year records for suppliers that sold to 104 industry leading companies between 2005 and 2012 are used, and 6,635 firm-year records for non-suppliers are matched with those of the suppliers. Conventionally, the relationship between large companies and their suppliers is explained in terms of relative bargaining power. If a large firm shifts costs to suppliers to make profits or to cover losses, the relationship between the suppliers’ margins and those of the large buyers is expected to be negative. However, we find that suppliers’ margins have a positive relationship with those of large buyers. Next, we compare the gross margins of suppliers with those of non-suppliers, and find that the gross margins of suppliers are significantly lower than those of non-suppliers. This result is consistent with findings previously reported in the Korean literature, which suggest that large buyers’ requests for suppliers to lower their product prices reduces the suppliers’ gross margins. Suppliers’ and non-suppliers’ operating margins, which reflect operating expenses, are not significantly different, but the profit margins of suppliers are significantly higher than those of non-suppliers. Analysis of the margins shows that suppliers’ operating and other expenses are lower than those of non- suppliers. A buyer’s reputation might reduce its supplier’s marketing expenses, which could offset the loss in selling price. Also efficient asset utilization induces cost reductions and can be measured by turnover ratios, we compare turnover ratios for suppliers and non-suppliers. Fewer days in inventory and receivables shortens the cash conversion cycle and improves the management of working capital, which is especially important to SMEs. We find that the asset turnover ratios, inventory turnover ratios and accounts receivables turnover of suppliers are significantly higher than those of non-suppliers. More specifically, the number of days in inventory and in receivables are lower for suppliers than for non-suppliers. Fewer days in inventory lowers the cost of inventory and fewer days in receivables lowers the cost of capital. There is no significant difference in payables turnover between suppliers and non-suppliers. Turnover ratio analysis shows that suppliers make more efficient use of assets than non-suppliers. According to the DuPont Identity, asset turnover increases return on assets (ROA) and return on equity (ROE) even though profit margins are not higher. In our analysis, we find that suppliers’ profit margins are higher than those of non-suppliers. Therefore, the better use of assets by suppliers enhances ROA and ROE compared with non-suppliers. Lower gross profit margins and enhanced asset utilization are more common among suppliers that are affiliated with the top four business groups (Samsung, LG, SK and Hyundai Motors). Samples are divided into two groups: suppliers of the top four business groups and their matched non- suppliers, and suppliers of other large firms and their matched non-suppliers. A small profit and quick returns strategy is apparent for the suppliers of the top business groups. This strategy means that the top business groups have more bargaining power than other large buyer firms, but can also help their suppliers to achieve higher sales with the associated benefit of a higher ROA and ROE. In this study, the performance and supplier dummies may lead to an endogeneity problem. However, after controlling for endogeneity using two-stage least squares (2SLS) regression, the results are consistent. To test robustness, the non-supplier sample is restructured according to a propensity scoring match. The main results are also consistent with the analysis of the restructured sample. This study shows that public perceptions of the relationship between large firms and small to medium-sized firms are partially correct. The low gross margins of suppliers can be interpreted as evidence of the bargaining power of large firms. However, suppliers obtain a higher ROA and ROE than non-suppliers due to efficient asset utilization. Given these results, we hope that both the suppliers and the large firms will appreciate each other’s role and strengthen their win–win relationships.

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This study used intraday high-frequency data over a 10-year period to empirically investigate the distributional and dynamic properties of returns and measurements of realized volatility in a situation of high market liquidity in the KOSPI 200 stock market index and the Japanese yen foreign exchange rate. The purpose and scope of the research were as follows. First, we examined the statistical characteristics of the empirical distribution of each return using high-frequency price data with eight time scales ranging from 1 min to 1 day, and determined the degree of difference from a normal distribution and the effect of increasing the measurement time interval from 1 min to 1 day. Second, we investigated the distributional and dynamic properties of the empirical distribution of each measurement of realized volatility calculated from the high-frequency returns, and the distribution of adjusted returns divided by the realized volatility. The empirical distribution of the returns from the KOSPI 200 market index and the Japanese yen exchange rate clearly differed from a normal distribution, with a more peaked central part and a much fatter tail. The time scale used to calculate the returns had a significant influence on the results; the shorter the measurement time scale, the larger the deviation from a normal distribution. Additionally, we found that the higher central part and much fatter tail of the empirical distribution of the returns, compared with a normal distribution, was supported at the 90% confidence interval in the central part and a significance level of 0.5% of the confidence interval in the tail. [The description of the confidence intervals and significance levels with respect to the center and tail of the distribution needs to be clarified.] The dynamic properties of the returns did not persist over time, decaying slowly according to changes in the autocorrelation from lag 1 to lag 100; that is, the distribution displayed unpredictability. The realized variance and realized standard deviation of volatility calculated from the highfrequency KOSPI 200 market index data and the Japanese yen exchange rate had the characteristics of a log-normal distribution, with a higher central part and a tail that was highly skewed to the right, whereas the distribution of the logarithmic realized standard deviation was similar to a normal distribution. The predictability of the measurements of the realized volatility was confirmed by time series persistence, in which the autocorrelation of the realized volatility decreased slowly according to the change from lag 1 to lag 100. Interestingly, the adjusted return divided by the realized standard deviation showed very similar characteristics to a normal distribution, unlike the distributional properties of the original return. Based on the observed distributional and dynamic properties of the returns and the realized volatility, commonality may exist regardless of the type of market. These findings suggest that there is a need to carefully consider the distribution and dynamic properties of returns when establishing an empirical design using intraday high-frequency data. An increasing number of studies have reported results based on empirical designs using intraday high-frequency data, and researchers have tried to control for the negative effects of market liquidity, measurement errors, and market microstructure. Unfortunately, however, they have not seriously considered the possibility that the time scale used to calculate the returns might influence the results. The main findings of this study suggest that time scales may be crucial influencing factors when establishing the design of an empirical test.

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This study examines how product market competition affects stock market returns by treating the advent of the Free Trade Agreement (FTA) between the United States and South Korea as an external shock. The relationship between product market competition and stock returns is unclear. For firms subject to strong product market competition, investors may demand higher rates of return to compensate for greater business risk or bankruptcy risk. For firms that face less market competition, investors may require lower returns because the business risk and risk of bankruptcy are correspondingly lower. However, the actual realized returns may not be as expected. Firms subject to strong market competition may earn low returns because of the stiff competition in the product market, and firms that face lower product market competition may earn higher returns because the lower market competition allows them to generate a steady cash flow. We are motivated by the limitations of previous studies that measure the degree of product market competition by market share to construct a CR (concentration ratio) or HHI (Hirschman-Herfindahl Index). These studies ignore the possibility that firms in the same industry may have vertical relationships; some firms in the industry may not be competitors, but rather cooperators. We take a new approach by considering how the Korea-US FTA increases market competition for products supplied by individual companies. We hypothesize that the decreased tariff resulting from the FTA induces a more competitive market environment and that the degree of tariff reduction is related to the degree of competition. We use the effective date of the FTA, March 15, 2012. By matching the degree of tariff reduction resulting from the FTA with product market sales, we construct a dataset for measuring product market competition. Specifically, we choose firms in the manufacturing industry that were listed on the Korea Stock Exchange between 2011 and 2013. We then match the firms’ two highest-selling products with the tariff change resulting from the FTA. The final sample comprises 714 firms. This unique data design reduces the biases that have often produced confounding effects and inconsistent empirical results in previous studies. We classify firms into a high-tariff-change group (the treatment group) and a low-tariff-change group (the control group). We use two different cutoff points for the change in tariff . The first is a tariff reduction of 1.6%, which places a similar number of firms in each group. Our results are robust when cutoff points for the change in tariff of 2%, 3%, and 4% are used. As an alternative way of dividing our sample, we group the firms based on whether they are subject to a tariff change (the positive-tariff-change group) or not (the no-tariff-change group). We then use controlled difference-in-difference (DiD) analysis to mitigate the possible endogeneity problem. First, we use the annual returns of firms as the dependent variable and run a DiD regression. Second, we examine the periods surrounding the effective date of the FTA and test whether there are significant differences in the monthly stock returns of firms that are subject to different tariff changes. The DiD estimation results indicate that both the monthly and yearly stock returns of the high-tariff-change group (and positive-tariff-change group) are significantly lower than those of the low-tariff-change group (and no-tariff-change group). This is clear empirical evidence that tougher product market competition lowers stock returns. Our results differ from those of previous studies, such as Hou and Robinson (2006) who examine the US market, Gallagher, Ignatieva, and McCulloch (2014) who examine the Australian market, and Ryu, Ryu, and Baek (2014) who examine the Korean market. Our results do support the argument of Bustamante and Donangelo (2014), who find that tougher product market competition reduces exposure to systematic risk and thus lowers stock market returns, rather than reducing profit margins and thus increasing exposure to systematic risk. When we examine a subgroup of firms that experienced the elimination of tariffs, we find that a greater increase in US imports is associated with a lower stock return. Our study makes the following contributions to the literature. First, we use an external shock to mitigate the methodological problems that have plagued previous studies. Second, for a country which relies heavily on foreign trade and is in the process of negotiating FTAs, we show how such agreements affect market competition and the financial performance of local firms. Third, whereas previous studies on this topic have inconsistent or mixed results, our results are strong and robust to different model specifications and empirical methodologies.

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The analysis of long-term bond excess returns is an important issue in portfolio management and risk dynamics. Under the classical expectation hypothesis, which assumes that long-term yield represents future short-term rate expectations, the excess return on a long-term maturity bond is constant over time. However, it is well known that this assumption does not hold empirically. In the U.S. and other international markets, the forward rate factor suggested by Cochrane and Piazzesi (2005) strongly predicts bond excess returns. Thus, the bond excess return is time-varying and the current yield curve contains information on bond risk premia. Given that the bond price reflects the market participants’ expectations regarding future economic states, it should be closely related to macroeconomic variables, such as inflation and real growth. There is a growing area of research called “macro-finance” that tries to explain the term structure of interest rates and bond risk premia with macroeconomic variables. In this paper, we empirically investigate the predictability of bond excess returns in the Korean market. We use information from the current yield curve, inflation shock, and real production shock. Specifically, we use the forward rate factor from Cochrane and Piazzesi (2005), the inflation cycle factor from Cieslak and Povala (2014) and the output gap factor from Cooper and Priestley (2009) as candidate variables to predict bond excess returns. First, we construct the three candidate factors: forward rate, inflation cycle and output gap. The forward rate factor is defined as the fitted value from the regression of the mean excess return on the forward rates. Under the Fisher hypothesis, a long-term yield can be decomposed into an expectation hypothesis term, a long-term inflation expectation term, and a cycle term. The inflation cycle factor summarizes information in the residuals from the regressions of the yields on the long-term inflation expectation. The output gap factor is generated by removing the time trend from the industrial production index. The empirical result shows that the forward rate factor strongly predicts the excess returns of all maturities, with an adjusted   higher than 50%. Consistent with the other markets’ results, the information in the yield curve is important in predicting bond excess returns. Compared to the forward rate factor, the inflation cycle and output gap factors, which are individual macroeconomic variables, have weak or no predictive ability. Although the cycle factor has comparable forecasting ability in relation to the forward rate factor, it does not have any additional predictive power when the forward rate factor is taken into account. Even worse, the output gap factor does not have any explanatory power alone. Overall, the results indicate that the macroeconomic variables in our analysis do not have information above the yield curve. We also conduct further analyses of the forward rate factor, which exhibits strong predictive power. The explanatory power of the forward rate factor is beyond the conventional yield curve factors (level, slope and curvature). It does not come from the multicollinearity of forward rates. In addition, the forward rate factor survives after controlling for the effect of international variables; specifically, the U.S. forward rate factor and the currency swap rate. As with the results from the international market data in Sekkel (2011), the explanatory power of the forward rate factor decreased after the financial crisis. Finally, the forward rate factor effectively explains the longer maturity bonds with maturities longer than five years. Focusing on the failure of the inflation cycle factor, which theoretically contains refined information about bond risk premia, we find that the long-term inflation expectation does not have explanatory power in addition to bond yields. Cieslak and Povala (2014) argue that the forward rate factor is a restricted version of the cycle factor, and they remove the long-term inflation term from the bond yields. In contrast, the inflation cycle factor becomes a noisier measure of bond risk premia in the Korean market and the predictive power of the forward rate factor is very strong in our sample period in the global market. The empirical results in this study imply the possibility that bond prices in the Korean market can be expressed as an affine model of yield curve factors, as in Cochrane and Piazzesi (2005). Although the macroeconomic factors do not seem to contain information about bond risk premia above the yield curve, we do not strongly reject the macro-finance models from our empirical results, as the macroeconomic factors in this paper are from a small subset of macroeconomic variables. We remain open to the possibility of more explanatory macroeconomic variables of bond risk premia.

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The Organisation for Economic Co-operation and Development (OECD) (1998) defines a tax haven as having the following characteristics: (a) no or only nominal taxes, (b) a lack of effective exchange of information, (c) a lack of transparency, and (d) no requirement that the activity be substantial. As these guarantee anonymity and little regulation in financial transactions, capital flows from tax havens are suspected to derive from dishonest motives and to have a negative impact on the local financial market. In Korea, there also has been a debate about local investors’ round-tripping through accounts in tax havens. Specifically, local investors set up paper companies in tax havens and camouflage themselves as foreign investors by trading local securities through these companies. The Korean media often refer to these investors as ‘blackhaired foreigners’. There is, however, little empirical evidence of the effect of capital flows from tax havens because relevant data are not available. This paper empirically investigates the impact of capital flows from tax havens on the Korean stock market using the 246 country codes provided by the Korea Exchange (KRX). The primary data source is the TAQ (trade and quote) dataset, which includes the full history of all trades made in the Korea Composite Stock Price Index (KOSPI) market between January 2006 and June 2008. Each trade record contains the price, quantity, time-stamp, investor class, and, most importantly, the country of origin of both buyers and sellers. First, I compute the dollar trading volume of both purchases and sales across nations and list all the foreign countries investing in the KOSPI market. The summary statistics indicate that investors from the U.K. constitute a quarter of the total trading activity of all foreign investors in Korea. U.S. investors account for roughly 14% of all trades from foreign countries. The Cayman Islands, which is a tax haven, is the third largest foreign country investing in Korean stocks, accounting for 9% of all foreign trading. I consider a country a tax haven if it was listed in the 1998 OECD report on tax havens. Finally, I define the following 5 jurisdictions as tax havens: the Cayman Islands, the Bermuda, the Bahamas, the British Virgin Islands, and the U.S. Virgin Islands. Trades from these tax havens amount to about 10% of the total trading volume of foreign investors in the KOSPI market. This suggests that trades from tax havens make up a substantial proportion of all foreign trading and that their impact on the KOSPI is likely to be significant. Next, I investigate whether foreign investors from tax havens pursue positive feedback trading strategies. These strategies are considered to have a destabilizing effect because their sales lead to falls in the stock prices and their purchases increasing in price. This may contribute to an increase in the volatility of stock returns. Such trading can also destabilize capital flows as investors rush into booming stocks and flee from falling ones. Empirical results show that tax haven investors buy more Korean stocks on days after a market rises and sell more on days after it falls. They also buy more of the stocks that outperformed the market the previous day. These results mean that foreign investors from tax havens are positive feedback traders. Finally, I examine whether foreign trades from tax havens have a significant impact on stock prices and increase the volatility of stock returns. In the first study, I select event days with large net purchases (sales) from tax haven investors, and compute abnormal returns for 11 days surrounding these events. The null hypothesis that tax haven investors do not have an effect on the Korean stock market can be rejected if significant abnormal returns follow large trades from tax havens in the same direction. The results show that both large purchases and sales from tax havens have a significant price movement within the event days and that the impacts are larger for purchases. In particular, the price impact of large purchase trades from tax havens persists one day after the event, and their cumulative abnormal returns are significantly positive for five days. These results mean that large trades by tax haven investors have a significant price impact on Korean stocks. In the second study, I use panel regression to examine the relation between stock volatility and trades from tax havens. The results show that stock volatility increases significantly as both net purchases and net sales from tax havens increase. Overall, the results in this paper allow the conclusion that capital flows from tax havens have significant effects on the Korean stock market. It is thus necessary for us to know who the tax haven investors are and what they do. However, tax havens remain domains of secrecy. This paper supports the recent efforts of the OECD and G20 to increase the transparency of capital flows from tax havens.

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The assets under management (AUM) of the Korean National Pension Fund (NPF), which started from 530 billion won in 1988, reached 426.9 trillion won by the end of 2013. This is the fourth largest pension fund in the world. Over 99% of the Korean NPF portfolio is comprised of finance sector holdings and the NPF’s performance thus depends on the management of financial sector investments. For many years, major investment vehicles in the NPF portfolio have been domestic bonds, domestic stocks, foreign bonds, and foreign stocks. Recently, alternative investments have become important parts of pension portfolio management. It is common to find alternative investment products such as real estate, infrastructure, private equity, commodities, and hedge funds in various sovereign pension portfolios. As alternative asset classes have little correlation with traditional investments, they help to diversify portfolio risk and also extend portfolios’ efficient frontier. In consequence, the proportion of alternative investments among global pension funds increased from approximately 7% in 2003 to 17% in 2012. The Korean NPF has followed this trend. The amount and proportion of alternative investments in the NPF portfolio steadily increased to reach 40 trillion won and to account for 9.4% of the total portfolio as of the end of 2013. However, few studies have been conducted on the management and performance of alternative investments in Korea. This study explores a way to construct the optimal alternative investment portfolio for the Korean NPF using both the Markowitz mean-variance and Black-Litterman models. With six asset classes, we use a proxy for the fund’s alternative investment portfolio to test which of the two optimization models is more appropriate for improving portfolio performance. We also construct an alternative investment portfolio with eight asset classes, adding commodity and hedge funds, which are currently excluded from the Korean NPF portfolio, to examine whether including these can enhance the portfolio’s efficiency. The main results of this study are as follows. First, we construct the optimal alternative investment portfolio with the Markowitz mean-variance model using the historical average returns of various alternative investment assets as proxy for the equilibrium expected returns. However, the model is extremely sensitive to changes in the input variables and often converges to the corner solution, which allocates unreasonably high weights to one or two assets. This reduces the advantages of portfolio diversification. Second, the Black-Litterman model has been devised to improve these limitations of the mean-variance model. It combines the equilibrium expected returns embedded in a market portfolio with managers’ views on its future asset performance. The model alleviates the extreme asset allocation problem. Thus, we suggest that the Black-Litterman model can be more appropriate so long as managers have marketforecasting capabilities. Finally, we confirm that including commodity and hedge funds in the Korean NPF alternative investment portfolio can improve its efficiency, as long as the fund has appropriate market-forecasting capabilities and imposes reasonable portfolio weights restrictions in asset classes. We consider the Black-Litterman model, which reflects managers’ views on future performance, in preference to the mean-variance model. We provide new insights into asset allocation methodology for the Korean NPF, which has mainly conducted asset allocation using a Markowitz-type mean-variance model. Some of the current alternative investment segment benchmarks used in the Korean NPF do not explain the variance and covariance of their asset classes, and we propose new benchmarks to replace them. Considering the growing prominence of the alternative investment portfolio in the Korean NPF, we suggest that continuous research effort should be made in this area to further improve the performance of the fund.

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According to the costly arbitrage model of Pontiff (2006), idiosyncratic risk increases holding costs that limit arbitrage. Since short sales are actively used for arbitrage, the costly arbitrage model should apply to short sales, which is the case according to the empirical findings of two recent studies: Au, Doukas, and Onayev (2009) on US markets, and Duan, Hu, and McLean (2010) on U. K. markets. Both studies offer evidence that idiosyncratic risk acts as a deterrent to short sales and affects returns subsequent to short sales. This study investigates whether a similar pattern exists in the Korean equity market using short sales data for stocks listed on the Korea Exchange from July 2004 to June 2011. Our study contributes to the literature in three important ways. First, it is the only study ever conducted outside the U.S. and U.K. markets on the relation between idiosyncratic risk and short sales. Second, different from Au et al. (2009) and Duan et al. (2010), we use short sale volume data rather than short interest data in our analysis. Using short sale trading volume is preferable to short interest volume because the former captures short sales activity more accurately than the latter, which often under- or over-estimates short sales activity. Third, we perform an investor-type analysis. Our data enable us to distinguish short sale volume by different investor types: individuals, domestic institutions, and foreigners. An investor-type analysis offers important insights into the effects of idiosyncratic risk on short sales activity. This is because different types of investors have different motives for short sales, an issue closely related to whether a certain type of investor engaging in short sales is more informed than other types. How idiosyncratic risk affects short sales made by different types of investors, and how it is related to the information content of short sales made by certain types of investors, are interesting questions. We measure short sales activity by short volume ratio (SVR), defined as the cumulative daily short volume of a stock in a month divided by the total trading volume of the stock in the same month. Following Ang, Hodrick, Xing, and Zhang (2006), we estimate the idiosyncratic risk of a stock in a given month from the Fama-French three-factor model. Our analysis is performed in two ways: a comparative analysis based on 20 groups formed by levels of idiosyncratic risk and SVR (5 by 4), and Fama-MacBeth regressions of (1) SVR on idiosyncratic volatility and (2) abnormal returns on SVR and idiosyncratic volatility. Both regressions use control variables that are believed to affect short sale volume or returns. Our findings can be summarized as follows. First, we find a negative relation between idiosyncratic risk and SVR, which is consistent with the recognition by investors of idiosyncratic risk as an arbitrage cost that limits short sales activity. Second, short sales made by domestic institutions show the strongest negative effect of idiosyncratic risk on SVR, followed by short sales made by foreigners. We do not find evidence of such a negative relation between idiosyncratic risk and short sales made by individuals. These patterns are consistent with different motives for short sales made by different types of investors. Institutions use short sales primarily for hedging and arbitrage. Hence, idiosyncratic risk is a significant binding factor. It binds short sales made by individuals less because they use short sales mainly for speculative purposes. Third, the greater the SVR, the lower the returns after short sales. This suggests that short sales predict future stock returns and that, on average, short sale traders are well informed. Fourth, the negative relation between SVR and future returns is stronger for firms with greater idiosyncratic risk. This finding is consistent with the model of Diamond and Verrecchia (1987), which states that costly short sales are used by informed traders. Finally, the effect of idiosyncratic risk on the relation between SVR and future returns is stronger for short sales made by foreign investors–a finding that suggests an informational advantage of foreigners over domestic institutions and individuals.

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This study empirically analyzes the relationship between corporate governance and cash holdings in Korea, a representative emerging market, using its data of listed firms with interests in contradictory recent research results concerning corporate governance and cash holdings. The variables used as proxies to represent types of corporate governance are very important. Unlike previous studies, this study uses the independence of boards as a proxy variable for corporate governance level because boards play a crucial role in monitoring management and simultaneously implementing decision-making processes. In addition, a principal decision-making process carried out by a board aims to protect investor profit and enhance firm value by efficiently allocating firm resources, and previous research has emphasized that independence is important to boards’ effective functioning. To measure board independence, we use the ratios of independent and non-independent outside directors used in previous studies, drawing on a very large amount of data gathered on the individual outside directors of Korean listed firms for the 2001-2010 period. Based on these data, the ratios of independent and non-independent directors are extracted after classifying two types of outside directors by setting up more stringent criteria, which include the educational and vocational backgrounds of individual outside directors as well as their legal qualifications. In this way, the study considers the importance of independent outside directors by empirically analyzing the effect of each ratio, and highlights that board independence originates with independent outside directors. More specifically, we provide empirical evidence in relation to the following three main questions. (1) Does the amount of cash holdings differ according to the degree of corporate governance (board independence) in Korean listed firms? (2) Are cash resources efficiently allocated according to the degree of corporate governance (board independence) in Korean listed firms? (3) Does the value of cash holdings differ and consequently affect firm value according to the degree of corporate governance (board independence) in Korean listed firms? The empirical results can be summarized as follows. First, when a board becomes more independent, the firm’s cash holdings decreases, while cash outflow increases. As the board’s independence grows, it is able to more efficiently control managers’ incentives to accumulate cash resources internally. Second, as board independence increases, high-growth opportunity firms may increase their investment options, while low-growth opportunity firms may increase their dividend options. Our analysis of the interaction between board independence and cash holdings in investments and dividends, according to growth opportunity, indicates that its effects on dividends were significant, but its effects on investments were not. In firms with high growth opportunity, as the ratio of non-independent outside directors increases, internally held cash is not spent on investments but on dividends, which confirms that the firms’ growth opportunities are not being used efficiently. In contrast, in firms with low growth opportunity, as the ratio of independent outside directors increases, managers are prohibited by the board from spending internally held cash, which instead is likely to be spent on dividends. Finally, firm value increases in firms with higher levels of board independence and more cash holdings. In other words, as board independence increases, investors value cash holdings more highly. This indicates that the value of cash holdings differs according to the type of corporate governance. Our findings confirm that the relationship between board independence and cash holdings in Korea, an emerging market, is different from that in the U.S., a well-developed market. More importantly, this study enables us to understand how good corporate governance enhances firm value. It shows that in firms with high board independence, the market estimates that the monitoring function of the board works effectively and that cash holdings are not exploited for managers’ private benefit; instead, they are allocated efficiently according to the firm’s characteristics, such as to growth opportunities. This market view is then reflected in the valuation of cash holdings, which in turn increases firm value.

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This paper reports an overall regime shift in asymmetric beta upon liberalization of the Korean stock market. There are various researches for effects of market liberalization. Especially, the global financial crisis in recent triggers great controversy over the capital market liberalization and global financial integration. And after many emerging countries, even developed countries go through unexpected capital flow, such controversy is deepening. It leads for us to consider the liberalization of the Korean stock market discreetly. Previous studies mainly concentrate the impact to the foreign-exchange market and real economy or the effectiveness of foreign investment. However, the structural change of capital market itself has been ignored. We attempt to organize specific arguments and previous discussions upon economic impact of the liberalization. We verify the long-term beta features using the longest data before and after Korean capital market liberalization. And we also attempt to identify the industrial characteristics of asymmetric beta. Hence, our study can be considered as associative study of capital market liberalization issue and asymmetric beta issue. The empirical results are summarized as follows. First, over the sample period, we consistently observe the existence ofasymmetric beta under the diverse categories of bull market (bear market). Our finding is consistent with previous studies such that the investors recognize the upside gain and down loss differently. Second, the sensitivity of beta under a bull market has increased after the liberalization. However, we find only weak evidences of beta expansion in bear market. These results denote that the typical paradigm that the sensitivity to down loss is higher is maintained, however, the investors are more conscious about the upside after the liberalization. In other words, the investors actively start to reflect the upside signal after the liberalization. Third, we find an intensified co-movement of Korean capital market and the foreign capital markets, Additionally, the conditional beta by the foreign market’s direction increases significantly. However, PND, the simplest criteria, shows the opposite results. It denotes that the investment strategy based on PND criteria may make an erroneous decision. Forth, the intensity of asymmetry beta varies in the cross-section of industrial sectors. Based on KSIC, we only observe asymmetric beta in ‘manufacturing’, ‘construction’, ‘financial and insurance business’, and ‘professional and scientific service’ sectors. Specially, in the majority of sectors, downward beta is higher than upside beta, however, the opposite result is derived in ‘financial and insurance business’ sector. It denotes that ‘financial and insurance business’ sector takes the leading role in increasing for the upside beta after the liberalization. Fifth, from the detailed analysis with industrial sub-sectors, we verify the significant differences among sub-sectors despite the significant upper-sectors. As a result, the capital market liberalization affects separate impacts and post changes by the industry sector. A practical implication suggests sector-based differentiation in portfolio management facing global market risks. We ask for careful attention to interpret our results. Korean capital market has experienced a considerable change by complex policies after the liberalization. Therefore, restricted interpretation such that our empirical findings are not derived only from the liberalization, but rather the liberalization becomes a turning point of the structural change and there is a possibility such that the discriminative impacts by industrial sectors after the liberalization is appropriate.

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