Individual and institutional herding and the impact on stock returns: Evidence from Taiwan stock market

Using high frequency intraday data, this paper investigates the herding behavior of institutional and individual investors in the Taiwan stock market. The study finds evidence of herding by both investors but a stronger herding tendency among institutional than among individual investors. Institutional investors herd more on firms with small capitalizations and lower turnovers and they follow positive feedback strategies. The portfolios that institutional investors herd buy outperform those they sell by an average of 1.009% during the 20 days after intense trading episodes. By contrast, individual investors herd more on firms with small sizes and higher turnovers, and they crowd to buy (sell) stocks with negative (positive) past returns. The portfolios that individual investors herd buy underperform those they sell by an average of − 0.829% during the following 20 days. Moreover, these return differences of both investors are more pronounced under a market with higher pressure and among small stocks. These findings suggest that the herding of institutional investors speeds up the price-adjustment process and is more likely to be driven by correlated private information, while individual herding is most likely to be driven by behavior and emotions.     

Fund flows and performance: New evidence from retail and institutional SRI mutual funds

In this paper we provide a comprehensive analysis of the performance of US SRI mutual funds as well as its relation to the flow of new money that those funds experience in the context of investors sophistication. In particular, we compare the performance of SRI funds with their conventional peers, matched by both managers and characteristics criteria, using several performance measures. We investigate the role of investors sophistication and its influence on the flow-performance and performance-flow relations within the retail and institutional SRI fund shareclasses. For the analysis of the flow-performance relation we use portfolio approach along with monotonic relation test, while the shape of the flow-performance relation is studied using piecewise linear panel regressions. For the performance-flow relation, the flow and unexpected flow portfolios are formed and their risk-adjusted performance is evaluated. We find that SRI mutual fund sector earns positive abnormal returns before expenses and retail SRI funds outperform their institutional peers both, before and after fees. No differences in performance when we consider SRI and conventional funds run by the same management companies. Moreover, we find a positive flow-performance relation which is convex for retail SRI funds but no convexity is found for the institutional ones. We cannot confirm the smart money effect for retail SRI funds, instead we find a dumb money effect for SRI institutional funds. Our paper provides new insights into the role of the investors sophistication for those relations in the presence of sustainability preferences.     

Socially responsible investment funds: Investor reaction to current and past returns

This paper investigates and compares the determinants of fund flows for socially responsible investment (SRI) funds and conventional funds. We consider the impact of current and past measures of monthly and annual return on fund flow. The results suggest SRI fund flows are less sensitive to returns than conventional funds. Our model also shows that flow is persistent and SRI investors are more likely to invest in a fund they already own relative to conventional investors. These results reflect the difficulty SRI investors face in finding alternative investments that meet their non-financial goals.     

The performance of precious-metal mutual funds: Does uncertainty matter?

We studied the relative risk-adjusted returns and downside risk performance of precious-metal mutual funds (PMFs) in different uncertainty periods (pre-crisis, crisis and post-crisis) using propensity score matching techniques and difference-in-differences matching regression. For a sample of PMFs and global corporate funds quoted in USD over the period January 2005 to June 2015, we found that the relative performance of PMFs differed across uncertainty periods. Thus, they performed similarly to corporate funds in the pre-crisis period, they outperformed corporate funds regarding risk-adjusted returns but underperformed in terms of downside risk in the crisis period and they displayed a similar risk-return performance to corporate funds in the post-crisis period. Difference-in-difference estimates indicate that a shift from low to high uncertainty had a positive impact on risk-adjusted returns for PMFs, whereas this advantage dissipated when uncertainty was reduced. However, fluctuations in uncertainty had mixed effects on the relative downside risk associated with PMFs. This evidence has implications for investors who seek to gain exposure to precious metals using PMFs.     

Can exchange traded funds be used to exploit industry and country momentum?

There is overwhelming empirical evidence on the existence of country and industry momentum effects. This line of research suggests that investors who buy country and industry portfolios with relatively high past returns and sell countries and industries with relatively low past returns will earn positive risk-adjusted returns. These studies focus on country and industry indexes that cannot be traded directly by investors. This raises the question of whether country and industry momentum effects really can be exploited by investors or whether they are illusionary in nature because they exist only on non-tradable assets. We analyze the profitability of country and industry momentum strategies using actual price data on exchange traded funds (ETFs). We find that over the sample periods during which these ETFs were traded, an investor would have been able to exploit country and industry momentum strategies with an excess return of about 5 % per annum. These returns cannot be explained by unconditional exposures to the Fama–French factors. The daily average bid-ask spreads on ETFs are substantially below the implied break-even transaction cost levels. Hence, we conclude that investors who are not willing or able to trade individual stocks may use ETFs to benefit from momentum effects in country and industry portfolios.     

The importance of size in private equity: Evidence from a survey of limited partners

Using a comprehensive survey, we show that investors with a larger capital allocation to private equity are more specialized − measured by the degree to which the investor focuses on private equity rather than other classes of investments − and have a wider scope of due diligence and investment activities. Other investor characteristics (experience, type, location, compensation structure, number of funds under management) play no role. In particular, endowments are not special according to the survey measures. These results are consistent with the changing LP–GP relationship in private equity as capital is increasingly concentrated in the hands of large investors.     

Hedge fund allocation: Evaluating parametric and nonparametric forecasts using alternative portfolio construction techniques

We propose a model for constructing Asian funds of hedge funds. We compare the accuracy of forecasts of hedge fund returns using an ordinary least squares (OLS) regression model, a nonparametric regression model, and a nonlinear nonparametric model. We backtest to assess these forecasts using three different portfolio construction processes: an “optimized” portfolio, an equally-weighted portfolio, and the Kelly criterion-based portfolio. We find that the Kelly criterion is a reasonable method for constructing a fund of hedge funds, producing better results than a basic optimization or an equally-weighted portfolio construction method. Our backtests also indicate that the nonparametric forecasts and the OLS forecasts produce similar performance at the hedge fund index level. At the individual fund level, our analysis indicates that the OLS forecasts produce higher directional accuracy than the nonparametric methods but the nonparametric methods produce more accurate forecasts than OLS. In backtests, the highest information ratio to predict hedge fund returns is obtained from a combination of the OLS regression with the Fung–Hsieh eight-factor variables as predictors using the Kelly criterion portfolio construction method. Similarly, the highest information ratio using forecasts generated from a combination of the nonparametric regression using the Fung–Hsieh eight-factor model variables is achieved using the Kelly criterion portfolio construction method. Simulations using risk-adjusted total returns indicate that the nonparametric regression model generates superior information ratios than the analogous backtest results using the OLS. However, the benefits of diversification plateau with portfolios of more than 20 hedge funds. These results generally hold with portfolio implementation lags up to 12 months.     

Mutual fund flows and investor returns: An empirical examination of fund investor timing ability

We examine the timing ability of mutual fund investors using cash flow data at the individual fund level. Over 1991–2004 equity fund investor timing decisions reduce fund investor average returns by 1.56% annually. Underperformance due to poor timing is greater in load funds and funds with relatively large risk-adjusted returns. In particular, the magnitude of investor underperformance due to poor timing largely offsets the risk-adjusted alpha gains offered by good-performing funds. Investors in both actively managed funds and index funds exhibit poor investment timing. We demonstrate that our empirical results are consistent with investor return-chasing behavior.     

Is ethical money financially smart? Nonfinancial attributes and money flows of socially responsible investment funds

We study the money flows into and out of socially responsible investment (SRI) funds around the world. In their investment decisions, investors in SRI funds may be more concerned with ethical or social issues than with fund performance. Therefore, SRI money flows are less related to past fund returns. Ethical money is less sensitive to past negative returns than are conventional fund flows, especially when SRI funds primarily use negative or Sin/Ethical screens. Social attributes of SRI funds weaken the relation between money inflows and past positive returns. However, money flows into funds with environmental screens are more sensitive to past positive returns than are conventional fund flows. Stock picking based on in-house SRI research increases the money flows. These results give evidence on the role of nonfinancial attributes, which induce heterogeneity of investor clienteles within SRI funds. We find no evidence of a smart money effect, as the funds that receive more inflows neither outperform nor underperform their benchmarks or conventional funds.     

Performance comparison between exchange-traded funds and closed-end country funds

The objective of this study is to compare the risk and return performance of exchange-traded funds (ETFs) available for foreign markets and closed-end country funds. We utilize 29 closed-end country funds (CEFs) for 14 countries over the sample period from April 1996 to December 2001. The performance proxies are mean returns and risk-adjusted returns. Results indicate that ETFs exhibit higher mean returns and higher Sharpe ratios than foreign closed-end funds, while CEFs exhibit negative alphas. This indicates that a passive investment strategy utilizing ETFs may be superior to an active investment strategy using CEFs. The findings reported here offer some insight on the relative advantages of each type of investment. Specifically, there may be some potential for additional types of ETFs that offer higher risk-adjusted returns than closed-end funds. Such ETFs may be able to offer higher risk-adjusted returns as part of an internationally diversified portfolio.     

Why Do Investors Hold Socially Responsible Mutual Funds?

To understand why investors hold socially responsible mutual funds, we link administrative data to survey responses and behavior in incentivized experiments. We find that both social preferences and social signaling explain socially responsible investment (SRI) decisions. Financial motives play less of a role. Socially responsible investors in our sample expect to earn lower returns on SRI funds than on conventional funds and pay higher management fees. This suggests that investors are willing to forgo financial performance in order to invest in accordance with their social preferences.     

The impact of the European sovereign debt crisis on banks stocks. Some evidence of shift contagion in Europe

This paper analyzes the influence of the recent European sovereign debt crisis on banks’ equity returns for 15 countries. Our data span the period December 14th 2007 - March 8th 2013 that encompasses several episodes of economic and financial turmoil since the collapse of the subprime credit market. Our contribution to the literature is twofold. First, we use an explicit multifactor model of equity returns extended with a sovereign risk factor. Second, we adopt a Smooth Transition Regression (STR) framework that allows for an endogenous definition of crisis periods and captures the changes in parameters associated with shift contagion. We find that the negative impact of the European sovereign debt crisis on banks’ equity returns has been mostly confined to European banks, whereas U.S. banks appear to be unharmed by its direct impact and may even have benefited from it. Besides, we find some evidence of shift contagion across Europe.     

Is there a Difference? The Performance Characteristics of SRI Equity Indices

Abstract:  This study analyses whether stock indices that represent socially responsible investments (SRI) exhibit a different performance compared to conventional benchmark indices. In contrast to other studies, the analysis concentrates on SRI indices and not on investment funds. This has several advantages, since transaction costs of funds, the timing activities and the skill of the fund management do not have to be considered. A direct measure of the performance effects of SRI screens is therefore examined. The 29 SRI stock indices are analysed by single-equation models as well as by multi-equation systems that exploit the information in the cross-section. SRI stock indices do not exhibit a different level of risk-adjusted return than conventional benchmarks. But many SRI indices have a higher risk relative to the benchmarks. The findings are robust to the use of different benchmark indices and apply to all common types of SRI screening.     

Portfolio concentration and performance of institutional investors worldwide

Using data on security holdings for 10,771 institutional investors from 72 countries, we test whether concentrated investment strategies result in excess risk-adjusted returns. We examine several measures of portfolio concentration with respect to countries and industries and find that portfolio concentration is directly related to risk-adjusted returns for institutional investors worldwide. Results suggest, in contrast to traditional asset pricing theory and in support of information advantage theory, that concentrated investment strategies in international markets can be optimal.     

Active mutual funds: Beware of smart beta ETFs!

Smart beta ETFs have gained tremendous prevalence among investors in recent years. This study provides empirical evidence that a proportion of this fast-paced growth can be attributed to the investor migration from closet factor active mutual funds to smart beta ETFs. Using a sample of US domestic equity active mutual funds and smart beta ETFs from 2000 to 2019, we find that smart beta ETFs offer factor exposures at lower fees and therefore higher risk-adjusted returns than closet factor funds. The investors notice the benefits of smart beta ETFs and replace closet factor funds with these ETFs. Closet factor funds are at higher risks of being replaced when investors are sophisticated, when the market share of smart beta ETFs increases, and after 2012. Our findings illustrate the dynamic changes in investor preference towards investment products that bring similar or greater benefits at a lower price.     

Sovereign wealth fund investment and the return-to-risk performance of target firms

This paper investigates the relationship between sovereign wealth fund (SWF) investment and the return-to-risk performance of target firms. Specifically, we find that target firm raw returns decline following SWF investment. Though risk also declines following SWF investment, we find that SWF investment is associated with a reduction in the compensation of risk over the 5 years following acquisition. Firm volatility decomposition suggests that idiosyncratic risk is what mainly drives these impacts toward decline. Employing a multinomial logit framework wherein combinations of target returns and risk movements are categorized, we see that, in cases of foreign investment, SWFs’ target firm performance most closely resembles that of other government-owned firms. The observed results are inconsistent with predictions of higher volatility and improved returns due to monitoring firm activities from the institutional investor literature. This suggests that SWFs may not provide some of the benefits that are offered by other institutional investors.     

Gaining a competitive edge through acquisitions: Evidence from the telecommunications industry

I study the announcement effects of all acquisitions in the recent telecom wave on both the acquirers and their industry competitors. I find evidence of negative rival returns (? 0.55%, t-stat = 2.47) by focusing on non-horizontal acquisitions where rivals are less susceptible to experience positive returns due to increased market power or expectation that some will become future targets themselves. I find that this effect is worse for closer rivals defined as having similar size and being in the same primary service area as the acquirer. Competitor returns are positively correlated with those of the acquirers suggesting that the negative impact experienced by competitors is driven by acquisitions in which the acquirer itself is earning negative abnormal returns. Results are broadly consistent with the Competitive Advantage Hypothesis that posits acquisitions are a means of corporate restructuring in a changing environment, awarding the acquirer a competitive edge and thereby making these acquisitions costly for their non-merging competitors.     

The Costs and Benefits of Performance Fees in Mutual Funds

Funds with performance fees have annual net risk-adjusted returns of 0.50% below other funds, a result mostly due to funds without a stochastic benchmark against which performance is measured and funds with a benchmark that is easy to beat. For other funds, there is no evidence of underperformance. Performance fee funds charge total expenses, including the performance fee, that are substantially higher than those of other funds. Investors are more likely to punish poor performance in funds with performance fees than in other funds. Our results indicate that even when fees are less regulated, investors can generally be relied upon to make the right choices, but that there are a subset of funds where performance fees are employed to extract additional fees from investors.     

Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets

Using two newly available ultrahigh-frequency datasets, we investigate empirically how frequently one can sample certain foreign exchange and U.S. Treasury security returns without contaminating estimates of their integrated volatility with market microstructure noise. Using the standard realized volatility estimator, we find that one can sample dollar/euro returns as frequently as once every 15 to 20 s without contaminating estimates of integrated volatility; 10-year Treasury note returns may be sampled as frequently as once every 2 to 3 min on days without U.S. macroeconomic announcements, and as frequently as once every 40 s on announcement days. Using a simple realized kernel estimator, this sampling frequency can be increased to once every 2 to 5 s for dollar/euro returns and to about once every 30 to 40 s for T-note returns. These sampling frequencies, especially in the case of dollar/euro returns, are much higher than those that are generally recommended in the empirical literature on realized volatility in equity markets. The higher sampling frequencies for dollar/euro and T-note returns likely reflect the superior depth and liquidity of these markets.     

The impact of religious practice on stock returns and volatility

With a psychological and behavioral perspective, this paper examines whether religious practice, through its influence on investors' moods and emotions, affect the behavior of the stock markets and investors in 15 Islamic countries over the period December 31, 2005 to December 31, 2015 and over four sub-periods (before and after both the global financial crisis and the Arab spring). The results indicate that volatility decreases during the month of Ramadan and is significantly different from the volatility observed in the other 11 months of the Islamic calendar year in most Muslim countries. We also identify that changes in stock returns and volatility during the month of Ramadan are related to religious practice and not due to the global financial crisis or the Arab spring. The findings significantly improve the understanding of the role of religious practice on stock market behavior and as such may be of great interest to investors and market regulators.