New Zealand mutual funds: measuring performance and persistence in performance

The present study investigates the performance of New Zealand mutual funds using a survivorship‐bias controlled sample of 143 funds for the period of 1990–2003. Our overall results suggest that New Zealand mutual funds have not been able to provide out‐performance. Alphas for equity funds, both domestic and international, are insignificantly different from zero, whereas balanced funds underperform significantly. There is no evidence of timing abilities by the fund managers. In the short term, significant evidence of return persistence for all funds is observed. This persistence, however, is driven by ‘icy hands’ rather than ‘hot hands’. Finally, we find the risk‐adjusted performance for equity funds to be positively related to fund size and expense ratio and negatively related to load charges.     

Timing and selectivity in Portuguese mutual fund performance

We extend the international evidence on timing and selectivity skills of fund managers by applying the Henriksson and Merton [Henriksson, R., Merton, R., 1981. On market timing and investment performance. II. Statistical procedures for evaluating forecasting skills. J. Bus. 54, 513–533] model to Portuguese based mutual funds investing in local, European and International equity.

The results show that managers do not exhibit selectivity and timing abilities, and there is even some evidence of negative timing. Furthermore, we observe a distance effect on stock selection performance, since fund managers that invest locally seem to perform better that those who invest in foreign markets. However, this effect is reverted with respect to market timing skills of fund managers, suggesting that International fund managers are more focused in market timing strategies.     

How to measure mutual fund performance: economic versus statistical relevance

In the present paper a comprehensive assessment of existing mutual fund performance models is presented. Using a survivor‐bias free database of all US mutual funds, we explore the added value of introducing extra variables such as size, book‐to‐market, momentum and a bond index. In addition to that we evaluate the use of introducing time‐variation in betas and alpha. The search for the most suitable model to measure mutual fund performance will be addressed along two lines. First, we are interested in the statistical significance of adding more factors to the single factor model. Second, we focus on the economic importance of more elaborate model specifications. The added value of the present study lies both in the step‐wise process of identifying relevant factors, and the use of a rich US mutual fund database that was recently released by the Center for Research in Security Prices.     

Investor risk evaluation in the determination of management incentives in the mutual fund industry

This paper examines the way in which investors evaluate risk in deciding which mutual funds to invest. New fund investment is found to be positively related to a distributed lag of past fund performance with a strong degree of inertia. The relationship is mostly linear with significant nonlinearities at the upper (and possibly the lower) end of the performance spectrum. Investors appear to use publicly available data in a way that is consistent with the theory, giving equal weight in their decisions to the return and market risk components of the performance measure, while ignoring diversifiable risk. Finally, it is shown that improved performance in any year has a significant impact on the earnings of the management company. Because managers are rewarded on the basis of risk adjusted returns, risk neutral managers have no incentive to manipulate risk, except at very high performance levels.     

Performance implications of active management of institutional mutual funds

We use information on institutional US mutual funds to examine the performance implications of the decisions they make when actively implementing their investment processes. Our findings show that the success of active fund managers' stock selection decisions is influenced both by the aggressiveness with which they implement their processes and also the style tilts incorporated into their active positions. Our findings provide useful insights into both where one might best look when choosing an active manager and also suggest possible profitable investment strategies.     

Socially responsible investment fund performance: the impact of screening intensity

Perhaps the most common criticism of socially responsible investment funds is that imposing non‐financial screens restricts investment opportunities, reduces diversification efficiencies and thereby adversely impacts performance. In this study we investigate this proposition and test whether the number of screens employed has a linear or curvilinear relation with return. Moreover, we analyse the link between screening intensity and risk. Screening intensity has no effect on unadjusted (raw) returns or idiosyncratic risk. However, we find a significant reduction in α of 70 basis points per screen using the Carhart performance model. Increased screening results in lower systematic risk – in line with managers choosing lower β stocks to minimize overall risk.     

Information asymmetry,mutual funds and earnings management: Evidence from China

This paper investigates how information asymmetry and mutual fund ownership affect listed companies’ earnings management. We show that (1) reducing information asymmetry improves firms’ earnings management behavior; (2) relative to short-term mutual funds, long-term mutual funds promote earnings quality by adopting a monitoring role; and (3) by dividing firms into high/low information asymmetry groups, we find that the information environment significantly increases the effect of long-term mutual funds on firms’ earnings management. In this paper, we provide new evidence for the role that institutional investors play in a typical emerging capital market. Our results have clear policy implications: to increase earnings quality, it is essential to improve information transparency and develop long-term institutional investors.     

Gender,style diversity,and their effect on fund performance

This paper examines the performance of 358 European diversified equity mutual funds controlling for gender diversity. Fund performance is evaluated against funds’ designated market indices and representative style portfolios. Consistently with previous studies, proper statistical tests point to the absence of significant differences in performance and risk between female and male managed funds. However, perverse market timing manifests itself mainly in female managed funds and in the left tail of the returns distribution. Interestingly, at fund level there is evidence of significant overperformance that survives even after accounting for funds’ exposure to known risk factors. Employing a quantile regression approach reveals that fund performance is highly dependent on the selection of the specific quantile of the returns distribution; also, style consistency for male and female managers manifests itself across different quantiles. These results have important implications for fund management companies and for retail investors’ asset allocation strategies.     

On the use of options by mutual funds: Do they know what they are doing?

Given recent regulatory inquiries into the derivative-trading practices of mutual funds, we examine their detailed option holdings to assess how mutual funds employ options, what funds use options, and how that affects performance and risk. Mutual funds’ use of options appears consistent with income generation and hedging motives, is systematically related to experience, education, and gender characteristics of portfolio managers, and does not lead to performance benefits, on average. Instead, certain uses of options lead to underperformance. We document no permanent or temporary aggressive risk taking by options users, finding instead that some funds use options to effectively lower risk.     

我国基金经理投资行为实证研究

我国证券市场快速发展,推动了基金业的迅猛增长,随着基金数量的增多,作为管理基金的基金经理的作用和地位正在迅速上升。基金经理的投资决策行为势必会影响到基金的业绩,如何综合评价基金经理的投资行为,是摆在我们面前的一大课题。本文在对国内外学者有关基金经理投资行为文献评析的基础上,提出了投资行为度的概念,并运用多元回归计量方法和突变评价法对我国基金经理的投资风格、投资策略、投资绩效、择股时机选择能力、风险管理能力以及个人行为模式和基金业绩之间的关系等进行了实证检验,得出了一些有意义的结论。最后从行为金融理论角度分析了中国证券投资基金经理行为偏离的根本原因,并提出相应的政策建议。     

Bankruptcy in long-term investments

Long-term portfolio management is an important issue in modern finance and practice. We have analysed various known continuous-time strategies in portfolio management, with a focus on bankruptcy probabilities under these strategies. We show that, for each strategy, there is a threshold in the target return rate. When the target return rate is set above this threshold, the application of the strategy for a long investment horizon leads to certain bankruptcy. For a target return rate lower than this threshold, bankruptcy never occurs. Bankruptcy probabilities under a finite investment horizon are also studied. An empirical study based on the Dow Jones Industrial Average Index confirms these results. By comparing the behaviour of these strategies in various parameter regions, we reveal connections among these seemingly different strategies.     

An empirical re-examination of the dividend–investment relation

Modigliani and Miller show that, in perfect capital markets, the optimal investment decisions of a firm are not affected by how these investments are financed. Miller and Modigliani further imply that, under the assumption of perfect capital markets, a firm's investment decisions are not affected by its dividend decisions, although dividend decisions may or may not be influenced by investment decisions. Fama and Miller label this result the separation principle. Most recent studies of the separation principle that take into account the existence of market imperfections report sharply contradictory results. This paper tests for linear and nonlinear causality between dividends and investments using both firm-specific and aggregate data for a sample of 417 firms over the 1962 to 2004 period. In general, linear causality tests support the separation principle, whereas nonlinear causality test results contradict the separation principle by revealing strong bi-directional linkages between dividends and investments.     

Are mutual funds sitting ducks?

We find that patient traders profit from the predictable, flow-induced trades of mutual funds. In anticipation of a 1%-of-volume change in mutual fund flows into a stock next quarter, the institutions in the same 13F category as hedge funds trade 0.29–0.45% of volume in the current quarter. A third of the trading is associated with the subset of 504 identified hedge funds. The effect is stronger when quarterly mutual fund portfolio disclosure is required and among hedge funds with more patient capital. A one standard deviation higher measure of anticipatory trading by a hedge fund is associated with a 0.9% higher annualized four-factor alpha. A one standard deviation higher measure of anticipation of a mutual fund's trades by institutions is associated with a 0.07–0.15% lower annualized four-factor alpha. The effect is stronger for more constrained mutual funds.     

Estimating the performance attributes of Australian multi-sector managed funds within a dynamic Kalman filter framework

This paper examines the impact of Kalman filtering as a technique for modeling the risk levels of managed funds. Using a sample of Australian Multi-sector trusts we examine selectivity and market timing performance using conventional performance models alongside Kalman filter models that allow beta to vary via a random walk. Further, we consider the stability and asymmetry of these performance measures together with a measure of volatility timing arising from a cubic model of fund performance. We find that the positive selectivity (negative market timing) that stems from the conventional models is not present with the Kalman filter model. The Kalman filter model tends to show neutral performance for both. However, both models confirm a strong tendency toward negative volatility timing.