Private equity for rapidly growing small business is raised primarily from the organized venture capital market and the informal market, comprised of high-net worth individuals or “angel” investors. We discuss commercially and publicly available data on private equity, the research findings of studies that use these data, and some of the more important questions that the available data have been unable to address.

This paper finds that stocks of repurchasers with high sensitivity to investor sentiment are more likely to be mispriced. Thus, such repurchases are followed by superior post-buyback stock performance. This abnormal return associated with sensitivity to sentiment cannot be explained by other undervaluation factors: book-to-market or prior return effects. My results are robust with factor model analysis and controls for contamination effects. I conclude that this sentiment-driven undervaluation may result from the difficulty to value and/or limits to arbitrage rather than investor overreaction.

The outperformance of repurchasing firms with a high book-to-market (B/M) ratio is usually explained by investors’ undervaluation of the firm’s past performance. However, several studies suggest that the underestimation of future intangible value may explain the high return associated with the share repurchase. To better understand the actual information content of repurchases, I decompose the B/M ratio into past tangible information and future intangible information and find that repurchase signals an undervaluation of the intangible return. In addition, I investigate several potential proxies for intangible information—R&D expenses, intangible assets, and future operating performance. My results show that intangible information signals the undervaluation of future operating performance.

The recent global financial crisis demonstrates that market liquidity is a prominent systematic risk globally. We find that local liquidity risk, in addition to the local market, value and size factors, demands a systematic premium across stocks in 11 developed markets. This local pricing premium is smaller in countries where the country-level corporate boards are more effective and where there are less insider trading activities. We also discover that global liquidity risk is a significant pricing factor across all developed country market portfolios after controlling for global market, value, and size factors. The contribution of this risk to the return on a country market portfolio is economically and statistically significant within and across regions.

Using two large hedge fund databases, this paper empirically tests the presence and significance of a cross-sectional relation between hedge fund returns and value at risk (VaR). The univariate and bivariate portfolio-level analyses as well as the fund-level regression results indicate a significantly positive relation between VaR and the cross-section of expected returns on live funds. During the period of January 1995 to December 2003, the live funds with high VaR outperform those with low VaR by an annual return difference of 9%. This risk-return tradeoff holds even after controlling for age, size, and liquidity factors. Furthermore, the risk profile of defunct funds is found to be different from that of live funds. The relation between downside risk and expected return is found to be negative for defunct funds because taking high risk by these funds can wipe out fund capital, and hence they become defunct. Meanwhile, voluntary closure makes some well performed funds with large assets and low risk fall into the defunct category. Hence, the risk-return relation for defunct funds is more complicated than what implies by survival. We demonstrate how to distinguish live funds from defunct funds on an ex ante basis. A trading rule based on buying the expected to live funds and selling the expected to disappear funds provides an annual profit of 8–10% depending on the investment horizons.

This paper explains exchange rate dynamics by linking financial customers’ foreign exchange order flow with their dynamic portfolio reallocation. For any currency pair in a particular period, one currency has higher assets return than the other and can be considered the high-return-currency (HRC). Financial institutions attempt to hold more HRC assets when they become more risk-loving or the relative return of the assets is expected to increase. Such a portfolio reallocation generates buy order toward the HRC and the currency appreciates. As the HRC changes over time, the direction that the relative return and risk appetite affect the exchange rate varies in different regimes.

We study the production effects of one of the largest bank branch expansion programs in history, implemented by the government of India during the 1980s. Combining policy-driven variation with newly-digitized data on bank lending and crop prices at the district-year level, we do not find evidence for a significant shift in agricultural output and inputs on average. Greater bank presence does promote resilience to climate risk, however, by attenuating the effect of lagged rainfall shocks on output. This effect operates via changes in the incidence of cropping during the dry winter season, which makes use of costly irrigation resources.

This study uses stochastic dominance with and without risk-free assets to examine whether trading days can affect patterns of the day-of-the-week effect in the Taiwan foreign exchange market. Our results generally indicate that higher returns appear on the first three days of the week across different trading-day regimes in the Taiwan foreign exchange market, confirming day-of-the-week effect. Allocating part of investors’ assets in risk-free assets is useful in distinguishing returns among weekdays for all currencies.

This paper proposes a new approach to evaluating banks’ liquidity needs, which is not only well-grounded theoretically, but is also easy to apply practically. Within the framework of a global game with imperfect information, we first establish a boundary condition for bank runs and show that there exists a unique Nash equilibrium for bank runs. Using the option-pricing approach, we then obtain a closed-form formula for the value of bank equity with both run risk and insolvency risk. Finally, a bank's optimal liquidity ratio is derived by maximizing the value of bank equity. Using data on Chinese listed banks, we show that the deviation of the actual liquidity ratio from the optimal liquidity ratio in a bank represents a robust proxy for its liquidity risk. An increased liquidity shortfall leads to worsening liquidity problems, and this is particularly pronounced when the liquidity shortfall is high.