The Cross‐Section of Managerial Ability,Incentives, and Risk Preferences

I estimate a dynamic investment model for mutual managers to study the cross‐sectional distribution of ability, incentives, and risk preferences. The manager's compensation depends on the size of the fund, which fluctuates due to fund returns and due to fund flows that respond to the fund's relative performance. The model provides an economic interpretation of time‐varying coefficients in performance regressions in terms of the structural parameters. I document that the estimates of fund alphas are precise and virtually unbiased. I find substantial heterogeneity in ability, risk preferences, and pay‐for‐performance sensitivities that relates to observable fund characteristics.     

Alpha or beta in the eye of the beholder: What drives hedge fund flows?

Capital Asset Pricing Model (CAPM) alpha explains hedge fund flows better than alphas from more sophisticated models. This suggests that investors pool together sophisticated model alpha with returns from exposures to traditional (except for the market) and exotic risks. We decompose performance into traditional and exotic risk components and find that while investors chase both components, they place greater relative emphasis on returns associated with exotic risk exposures that can only be obtained through hedge funds. However, we find little evidence of persistence in performance from traditional or exotic risks, which cautions against investors’ practice of seeking out risk exposures following periods of recent success.     

Mutual fund performance persistence: Factor models and portfolio size

We re-examine US mutual fund performance persistence. We investigate persistence (i) using both “academic” factor models and “practitioner” index models, (ii) using decile-size recursive portfolios and also portfolios formed from smaller numbers of funds, (iii) using nonparametric bootstrap p-values as well as conventional t-tests and (iv) using both net-of-fee fund returns (net alphas) and gross alphas. Our key result is that positive net alpha performance persistence can be found using small portfolios of funds together with a holding period of 6 months or less, for both practitioner index models and academic factor models.     

European Mutual Fund Performance

This paper presents an overview of the European mutual fund industry and investigates mutual fund performance using a survivorship bias controlled sample of 506 funds from the five most important mutual fund countries. The latter is done using the Carhart (1997) 4-factor asset-pricing model. In addition we investigate whether European fund managers exhibit 'hot hands', persistence in performance. Finally the influence of fund characteristics on risk-adjusted performance is considered. Our overall results suggest that European mutual funds, and especially small cap funds are able to add value, as indicated by their positive after cost alphas. If we add back management fees, four out of five countries exhibit significant out-performance at an aggregate level. Finally, we detect strong persistence in mean returns for funds investing in the UK. Our results deviate from most US studies that argue mutual funds under-perform the market by the amount of expenses they charge.     

Bayesian Alphas and Mutual Fund Persistence

We use daily returns to compare the performance predictability of Bayesian estimates of mutual fund performance with standard frequentist measures. When the returns on passive nonbenchmark assets are correlated with fund holdings, incorporating histories of these returns produces a performance measure that predicts future performance better than standard measures do. Bayesian alphas based on the Capital Asset Pricing Model (CAPM) are particularly useful for predicting future standard CAPM alphas. Over our sample period, priors consistent with moderate to diffuse beliefs in managerial skill dominate more skeptical prior beliefs, a result that is consistent with investor cash flows.     

Reverse Survivorship Bias

Mutual funds often disappear following poor performance. When this poor performance is partly attributable to negative idiosyncratic shocks, funds' estimated alphas understate their true alphas. This paper estimates a structural model to correct for this bias. Although most funds still have negative alphas, they are not nearly as low as those suggested by the fund‐by‐fund regressions. Approximately 12% of funds have net four‐factor model alphas greater than 2% per year. All studies that run fund‐by‐fund regressions to draw inferences about the prevalence of skill among mutual fund managers are subject to reverse survivorship bias.     

WHAT DRIVES INVESTMENT FLOWS INTO SOCIAL TRADING PORTFOLIOS?

We investigate investment flows into more than 5,300 social trading portfolios that are issued as structured products and are tradable at a regular exchange. We find that investment flows chase past performance. However, in contrast to mutual fund flows, the flow–performance relation exists nearly exclusively for the best performing social trading portfolios. Flows follow raw returns rather than factor model alphas. Additionally, flows are highly persistent. Finally, social trading portfolios with higher visibility on the web page of the social trading platform as well as traders communicating actively to investors via public comments attract higher inflows.     

Conditional performance evaluation for German equity mutual funds

We investigate the conditional performance of a sample of German equity mutual funds over the period from 1994 to 2003 using both the beta-pricing approach and the stochastic discount factor (SDF) framework. On average, mutual funds cannot generate excess returns relative to their benchmark that are large enough to cover their total expenses. Compared to unconditional alphas, fund performance sharply deteriorates when we measure conditional alphas. Given that stock returns are to some extent predictable based on publicly available information, conditional performance evaluation raises the benchmark for active fund managers because it gives them no credit for exploiting readily available information. Underperformance is more pronounced in the SDF framework than in beta-pricing models. The fund performance measures derived from alternative model specifications differ depending on the number of primitive assets taken to calibrate the SDF as well as the number of instrument variables used to scale assets and/or factors.     

Investor learning and mutual fund family

In this paper we revisit the cross-fund learning method suggested by Jones and Shanken (2005) and construct a linear hierarchical model to consider the learning across funds within the fund family during the performance evaluation. We provide a full Bayesian treatment on all the factors of the pricing model and allow both the fund family and the individual manager to have dependent prior information regarding funds' alphas. The simulation results suggest that returns from peer funds within the family significantly affect investors' updating on fund alphas since the posterior distribution on fund alphas experiences a faster shrinkage than those reported in the previous literature. The model can also be simulated with specific prior belief on different factors of the pricing model, i.e. fund alphas, betas and factor loadings of each pricing benchmark, to better address the learning issue.     

Does corporate social responsibility affect mutual fund performance and flows?

We use an asset-weighted composite corporate social responsibility (CSR) fund score to study the effects of CSR on fund performance and flows. Compared to low-CSR funds, high-CSR funds display poorer performance, stronger performance persistence, a weaker performance-flow relationship, and comparable persistence in flows. These findings are consistent with investors in high-CSR funds deriving utility from non-performance attributes.     

Time-varying performance of international mutual funds

We examine the ability of one- and two-factor regime switching models to describe US, developed, and emerging market mutual fund returns. We find that a two-factor fixed transition probability model adequately describes the multivariate series of mutual fund returns without the need to model time-varying transition probabilities. Mutual fund performance, as measured by a state dependent Jensen's alpha, varies with economic regimes that are defined according to the global equity market mean. Our primary two-factor fixed transition probability model shows that emerging market mutual fund alphas are often significantly positive in global bull regimes. Consideration of alternative second risk factors suggests that both the foreign exchange factor, or the recently proposed Hou, Karolyi and Kho (2011) value factor can improve series forecasts and out-of-sample portfolio performance.     

Flow-Performance Relationship and Star Effect: New Evidence from Chinese Mutual Funds

In this paper, we reexamine the mutual fund flow-performance relationship and star effect using mutual funds in China that have unique features of high risk and low performance persistence. Confirming prior studies, we find that fund performance is positively related to flows in subsequent periods. However, our results show that funds that performed well in the past do not attract additional inflows after controlling for performance. In addition, a star fund, a fund with a five-star Morningstar rating, does not have any significant effect on the fund's flows. These results suggest that it is important to recognize the difference in investor groups and factors that affect performance persistence when analyzing the mutual fund flow-performance relationship.     

Performance attribution of mutual funds in India: outperformance or mis‐representation?

We conduct a novel holdings‐based performance attribution, particularly suited to emerging markets, for equity‐oriented active mutual funds in India. Although, we find significantly positive alphas for an average fund, the stated benchmarks are grossly mis‐specified. A style‐adjusted benchmark could beat the stated benchmarks by greater margins than the funds themselves. While funds’ trading activity consistently adds value, cash drag and market timing usually diminish value. Although, the best‐performing funds exhibit superior security selection abilities, their outperformance does not persist. However, despite the lack of persistence winner funds continue to generate significantly higher alphas than loser funds for quite some time.     

Can investors benefit from the performance of alternative UCITS funds?

We study the performance persistence of alternative UCITS funds, which are a hybrid between mutual funds and hedge funds. Persistence is gauged by alternative measures of performance and risk. Based on contingency tables, we find that performance persists for up to 2 years following ranking. However, persistence is stronger in the short run, and ranked portfolio tests indicate that investors can benefit from persistence for only up to 1 year. The evidence for persistence in risk is ambiguous. We link fund characteristics to performance persistence and find that offshore hedge fund experience enhances persistence. Our results are robust against survivorship bias and other potential database biases.     

Use of active peer benchmarks in assessing UK mutual fund performance and performance persistence

The majority of UK style-specific mutual funds either report a broad market index as their prospectus benchmark or give no benchmark at all – a practice that may be (a) strategic, or (b) cultural and attributable to the lack of UK style-specific indices (e.g. mid-cap-growth, small-cap-value). The choice of a broad market index as a benchmark can bias the inferences of a fund’s performance and performance persistence. This study is the first to provide an alternative to style-specific indices in the UK, and suggests the use style-specific peer group benchmarks, following [Hunter, D., E. Kandel, S. Kandel, and R. Wermers. 2014. “Mutual Fund Performance Evaluation with Active Peer Benchmarks.” Journal of Financial Economics 112 (1): 1–29]. Our sample comprises of 817 active UK long-only equity mutual funds allocated to nine Morningstar style categories (peer groups) during the period 1992–2016. We show that the funds with the most significant positive peer-group-adjusted alphas continue to perform well one year ahead, in terms of both parametric and non-parametric measures of persistence in performance. Moreover, persistence in performance is driven by both winner and loser funds. The results within each peer group are by and large consistent with these findings.     

Portfolio concentration and fund manager performance

This research examines the relationships among portfolio concentration, fund manager skills, and fund performance in Taiwan's equity mutual fund industry, yielding several empirical findings as follows. First, after controlling for other factors, concentrated equity funds tend to have smaller net asset values, larger fund flows, higher turnover rates, and a younger age and prevail in smaller fund families. Second, concentrated fund managers buy and sell stocks more smartly based on economic trends or market factors than do diversified fund managers, i.e., they have better market‐timing abilities. Third, only partial evidence supports the premise that concentrated equity funds have better next‐quarter risk‐adjusted performances than do diversified ones, as these fund managers' skills positively correlate to risk‐adjusted fund performance. Fourth, fund managers who have better stock‐picking abilities and intensively invest in certain industries generally exhibit better Carhart's alpha in the next quarter than do other fund managers. Fifth, fund managers' stock‐picking abilities more closely relate to long‐term performance than do their market‐timing abilities. Lastly, positive performance persistence is much stronger than negative performance persistence, but concentrated funds do not have stronger performance persistence than do diversified funds.     

Do hedge funds deliver alpha? A Bayesian and bootstrap analysis

Using a robust bootstrap procedure, we find that top hedge fund performance cannot be explained by luck, and hedge fund performance persists at annual horizons. Moreover, we show that Bayesian measures, which help overcome the short-sample problem inherent in hedge fund returns, lead to superior performance predictability. Sorting on Bayesian alphas, relative to OLS alphas, yields a 5.5% per year increase in the alpha of the spread between the top and bottom hedge fund deciles. Our results are robust and relevant to investors as they are neither confined to small funds, nor driven by incubation bias, backfill bias, or serial correlation.     

Explaining persistence in mutual fund performance

This study investigates the determinants of persistence in mutual fund performance. Previous research that uses factor-mimicking portfolios and characteristic benchmarks to model fund performance fails to explain all the persistence in fund returns. This study employs a model that directly relates mutual fund returns to the characteristics of the stocks held by funds. Adjusting fund returns for the size of the stocks in which funds invest and financial ratios intended to capture fund manager investment styles explains all the persistence in mutual fund returns from 1976–1985, the period in which persistence is most prevalent.     

International evidence on Islamic equity fund characteristics and performance persistence

This research examines the presence of performance persistence and the impact of fund-specific characteristics on Islamic equity fund (IEF) performance. We conduct an empirical study based on an extensive Database of 301 IEFs and for the period 1999–2013. Our results reveal that fund age, family size and management fees have a significant positive impact on IEF performance. On the other hand, other characteristics such as flows, minimum investment size, higher liquidity, and load fees have negative effect on fund performance, whereas fund size has no significant impact on IEF performance. Our study reveals that Islamic equity funds exhibit negative performance persistence. The paper provides relevant practical implications for managers, analysts and investors. To our knowledge, this empirical study is the first to investigate the intrinsic determinants of Islamic equity fund performance, with sufficient statistical power that is based on an effective sample size with international diversity.     

MARKET VOLATILITY AND PERVERSE TIMING PERFORMANCE OF MUTUAL FUND MANAGERS

Prompted by the recent volatility in equity markets, I investigate performance evaluation methods and the mutual fund managers' ability to select undervalued investments and time major market movements during the high-market-volatility period of the 1980s. Specifically, I examine mutual fund managers' stock-selection and market-timing abilities by employing a five-factor risk-adjusted model based on Carhart's four-factor loading model and Bhattacharya and Pfleiderer's quadratic timing model adjusted for perverse timing behavior. Individually, some managers persistently affect fund performance through the selection of undervalued investments, however, at the expense of timing performance. In addition, funds that demonstrate an ability to time major market movements showed persistence in timing performance before and after the October market crash of 1987.