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.     

Improved Forecasting of Mutual Fund Alphas and Betas

This paper proposes a simple back testing procedure that isshown to dramatically improve a panel data model's ability toproduce out of sample forecasts. Here the procedure is usedto forecast mutual fund alphas. Using monthly data with an OLSmodel it has been difficult to consistently predict which portfoliomanagers will produce above market returns for their investors.This paper provides empirical evidence that sorting on the estimatedalphas populates the top and bottom deciles not with the bestand worst funds, but with those having the greatest estimationerror. This problem can be attenuated by back testing the statisticalmodel fund by fund. The back test used here requires a statisticalmodel to exhibit some past predictive success for a particularfund before it is allowed to make predictions about that fundin the current period. Another estimation problem concerns theuse of a single statistical model for all available mutual funds.Since no one statistical model is likely to fit every fund,the result is a great deal of misspecification error. This papershows that the combined use of an OLS and Kalman filter modelincreases the number of funds with predictable out of samplealphas by about 60%. Overall, a strategy that uses very modestex-ante filters to eliminate funds whose parameters likely deriveprimarily from estimation error produces an out of sample risk-adjustedreturn of over 4% per annum.     

MUTUAL FUND DAILY CONDITIONAL PERFORMANCE

The empirical finance literature reveals that conditional models estimated with monthly data generally improve fund performance. Furthermore, it has been shown that using daily instead of monthly returns in an unconditional framework increases the proportion of abnormal performances relative to timing. In this article, we study conditional performance estimated with daily data in a bivariate generalized autoregressive conditional heteroskedasticity (GARCH) framework. Our daily conditional alphas and global performances with GARCH are significantly better than those estimated with other parametrizations and they persist over time. Finally, the proportion of abnormal timing performances diminishes significantly when conditional parametrizations are used.     

我国开放式基金绩效及选股和择时能力研究

近年来,开放式基金逐渐成为我国基金市场的绝对主体。开放式基金能否取得较好的绩效受到市场的普遍关注。本文选取了资金管理规模前20位的公司,并从中随机挑选1只基金,运用詹森指数、特雷诺比率、夏普指数和信息比率等单因素模型和Fama-French三因素模型对开放式基金的绩效进行分析,并使用T-M模型、H-M模型、C-L模型对基金经理人股票选股与择时能力进行分析。结果发现:第一,我国开放式基金经理的选股能力存在时变性,在上升期具备选股能力,在下跌期不具备选股能力,而无论是在上升期还是下跌期,基金经理普遍不具备择时能力。第二,在市场上升期基金经理比较注意对风险的把控,系统性风险较小,而在下跌期基金投资组合的系统性风险明显上升,基金经理冒险意愿上升,当市场出现大幅度下跌时,其不理性行为会加剧市场的波动。本文的研究结论有利于提升投资者的风险意识和理性意识、促进外部监管部门的精准监管审查,并能够激励基金经理人提高自身风险管控的能力。     

Mutual fund liquidity timing ability in the higher moment framework

Using mutual fund data in Thailand, this study shows that fund managers can time the market-wide liquidity in the higher moment framework. High-performing fund managers demonstrate significantly positive liquidity timing ability, while low-performing fund managers do not. Thus, high-performing fund managers increase (decrease) the funds' exposure to the market during a high (low) market liquidity period, while low-performing fund managers do not show the liquidity timing ability. Moreover, only top-performing bank-related mutual funds possess the liquidity timing ability, supporting the information advantage hypothesis. Nonbank-related funds do not possess the liquidity timing ability at both the aggregate and portfolio levels. Several robustness tests confirm the findings.     

Performance,stock selection and market timing of the German equity mutual fund industry

We investigate the performance of the German equity mutual fund industry over 20 years (monthly data 1990–2009) using the false discovery rate (FDR) to examine both model selection and performance measurement. When using the Fama–French three factor (3F) model (with no market timing) we find that at most 0.5% of funds have truly positive alpha-performance and about 27% have truly negative-alpha performance. However, the use of the FDR in model selection implies inclusion of market timing variables and this results in a large increase in truly positive alpha funds. However, when we use a measure of “total” performance, which includes the contribution of both security selection (alpha) and market timing, we obtain results similar to the 3F model. These results are largely invariant to different sample periods, alternative factor models and to the performance of funds investing in German and non-German firms — the latter casts doubt on the ‘home-bias’ hypothesis of superior performance in ‘local’ markets.     

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.     

Selectivity and timing performance of UK investment trusts

This study examines the selectivity and timing performance of 218 UK investment trusts over the period July 1981 to June 2009. We estimate the Treynor and Mazuy (1966) and Henriksson and Merton (1981) models augmented with the size, value, and momentum factors, either under the OLS method adjusted with the Newey–West procedure or under the GARCH(1,1)-in-mean method following the specification of Glosten et al. (1993; hereafter GJR-GARCH-M). We find that the OLS method provides little evidence in favour of the selectivity and timing ability, consistent with previous studies. Interestingly, the GJR-GARCH-M method reverses this result, showing some relatively strong evidence on favourable selectivity ability, particularly for international funds, as well as favourable timing ability, particularly for domestic funds. We conclude that the GJR-GARCH-M method performs better in evaluating fund performance compared with the OLS method and the non-parametric approach, as it essentially accounts for the time-varying characteristics of factor loadings and hence obtains more reliable results, in particular, when the high frequency data, such as the daily returns, are used in the analysis. Our results are robust to various in-sample and out-of-sample tests and have valuable implications for practitioners in making their asset allocation decisions across different fund styles.     

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.     

Seasonality in Fund Performance: An Examination of the Portfolio Holdings and Trades of Investment Managers

Abstract:  This study examines the extent to which seasonal variation arises across calendar months in the performance of active Australian equity managers. While it is well documented that there is seasonality in equity market returns, it is unknown whether calendar month variation in managed fund performance exists. Employing a unique database of monthly stock holdings, we find evidence consistent with systematic variation in the risk-adjusted performance of active investment managers over the calendar year. Specifically, we find fund performance is higher in the months when corporate earnings are announced. We also document that the performance of fund managers is lower in the months preceding the tax year-end. Finally, we report evidence that investment manager performance is greater than normal in December, possibly due to both window dressing and the Christmas holiday effect. These findings have important implications for investors attempting to exploit anomalies in fund returns by timing their entry and exit points from active equity funds.     

What Style Liquidity Timing Skills Do Mutual Fund Managers Possess?

Recent studies claim that mutual fund managers demonstrate strong MARKET liquidity timing skills. We extend their liquidity timing tests to the four‐factor case and investigate liquidity timing skills with respect to the MARKET, SIZE, VALUE and MOMENTUM factors. Contrary to these claims, we find no evidence that fund managers adjust market exposure in anticipation of market liquidity changes. We find rather strong evidence that fund managers successfully overweight small stocks as market liquidity increases. Our study also demonstrates that it is easy to misidentify SIZE liquidity timing as MARKET liquidity timing in models that focus only on MARKET liquidity timing.     

Time-varying fund manager skills of socially responsible investing (SRI) funds in developed and emerging markets

We examine stock selectivity and timing abilities in the market-wide return, volatility and liquidity of SRI fund managers. We find that multi-dimensional fund manager skills are time-varying and persistent in the short run, with developed market funds exhibiting longer persistence in all dimensions. Fund manager skills tend to be affected by fund characteristics (i.e., expense ratio, fund size, turnover and management tenure) and market characteristics (i.e., ESG market capitalization, mandatory ESG regulation and 10–2 yield spread). Fund managers of developed (emerging) market funds outperform (underperform) the market indices. For both fund types, fund managers possess exceptional volatility and liquidity timing despite poor return timing. Moreover, fund managers focus more (less) on timing the market’s return and less (more) on picking stocks when the prospect of recession keeps increasing (decreasing). Interestingly, if fund managers attempt to time the market-wide return or liquidity, stock selectivity will be worsened by their timing behavior.     

The investment performance,attributes, and investment behavior of ethical equity mutual funds in the US: an empirical investigation

This paper examines the investment performance of US ethical equity mutual funds relative to the market and their traditional counterparts using a survivorship-bias-free database. We detect selectivity and market timing performance of fund managers using two models. First, we use Treynor and Mazuy’s (Harv Bus Rev 44:131–136, 1966) model to determine these performances from a quadratic regression of fund returns on market returns. Second, we use a comprehensive and integrated model derived by Bhattacharya and Pfleiderer (A note on performance evaluation. Technical Report 714, Stanford, California, Stanford University, Graduate School of Business, 1983) and Lee and Rahman (J Bus 63:261–278, 1990) to simultaneously capture stock selection and market timing skill of fund managers. This model extracts timing skill from the relationship between managers’ forecast and realized market return. In addition, the R² approach developed by Amihud and Goyenko (Rev Financ Stud 26:667–694, 2013) for evaluating selectivity is also used in this paper. Our empirical results indicate that ethical funds perform no worse than their traditional counterparts, although ethical and traditional funds do not outperform the market. We find some evidence of superior security selection and/or market timing skill among a very small number of ethical and traditional funds. It appears that matching traditional funds have slightly more abnormal (superior as well as inferior) performance than ethical funds in our sample.     

Yet another look at mutual fund tournaments

We revisit the empirical evidence on the tournament hypothesis for the behavior of mutual fund managers provided by Busse [J. Financ. Quant. Anal. 36 (2001) 53]. First, we give analytical expressions for the biases arising in volatility estimates (based on both daily and monthly data) due to first-order autocorrelation effects in daily fund returns. These calculations show that tests of the tournament hypothesis based on monthly data are more robust to autocorrelation effects than tests based on daily data. Second, to address the impact of cross-correlated fund returns on these tests, we provide explicit conditions under which the tests proposed in the literature have appropriate size properties.     

Are hedge funds active market liquidity timers?

This paper investigates liquidity timing behaviour of hedge funds that invest globally in foreign investment assets. We expect these hedge funds to manage currencies exposure differently, depending on the extent they treat them as an asset class. In this paper, we investigate if actively timing foreign exchange (FX) liquidity adds value to hedge funds' investments. Unlike the existing studies where fund managers are assumed to either time or not time the market over the entire study period, we argue that fund managers may strategically choose to be active market liquidity timers based on the market condition at the time. To test this hypothesis, we develop a state-dependent liquidity timing model embedded with a Markov regime switching process and identify changes in the FX liquidity timing behaviour among the Global Derivatives hedge funds over an eighteen-year period. Our findings reveal that such regime changes in timing behaviour are driven by the underlying FX liquidity condition. A further analysis to compare the changes in the timing behaviour over time shows that hedge funds that are active market liquidity timers outperform those that engage in liquidity timing less frequently in all strategies categories.     

Do funds selected by managers’ skills perform better?

We construct a simple intuitive rating mechanism to evaluate stock picking and market timing skills of equity and hybrid equity fund managers in China. We find that both our skill-rated 5-star (SR-5S) fund and the Morningstar 5-star (MS-5S) fund portfolios outperform the market. The SR-5S fund portfolio outperforms its counterpart MS-5S portfolio in most situations, depending on whether portfolio performance is measured by the abnormal returns of the CAPM model, the Fama-French three-factor (FF3) model, the Carhart four-factor (CH4) model and the Fama-French five-factor (FF5) model. Both market timing skill and stock picking skill affect the performance difference between the SR-5S fund and MS-5S fund portfolios. Additionally, the departure of a SR-5S or MS-5S fund manager is associated with fund performance declines, and the declines in performance for SR-5S funds are generally larger than the declines for the MS-5S funds.     

Derivative use,fund flows and investment manager performance

Prior literature which examines the use of derivatives by investment managers does not discern between different types of derivative trading strategies. This study is the first to examine and gather data on a particular type of derivative trading strategy undertaken by investment managers. We examine the extent to which equity fund managers use index futures to manage fund flows and the effect this has on their alpha and market timing measures of performance. Our results show that funds that do not use derivatives exhibit lower returns and negative market timing skills when they experience fund flow. The performance of funds that use derivatives, however, is independent of investor’s liquidity demands. In fact, the unconditional performance of the average user fund is statistically equivalent to the performance of the average non-user fund conditional on zero fund flow. Our results provide evidence that derivatives can be beneficial for mutual fund holders under certain conditions.     

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.     

On the Timing Ability of Mutual Fund Managers

Existing studies of mutual fund market timing analyze monthly returns and find little evidence of timing ability. We show that daily tests are more powerful and that mutual funds exhibit significant timing ability more often in daily tests than in monthly tests. We construct a set of synthetic fund returns in order to control for spurious results. The daily timing coefficients of the majority of funds are significantly different from their synthetic counterparts. These results suggest that mutual funds may possess more timing ability than previously documented.     

Pricing credit default swaps with bilateral value adjustments

The aim of this work is to examine the influence of mutual fund flows on market timing models, thus providing unbiased timing coefficients. However, as this control is motivated by the existing relationship between mutual fund flows and market returns, we first analyse this relationship, considering previous and concurrent market returns. However, unlike existing studies, we do not consider future returns, since investors do not observe them when making investment decisions. Thus, we feel it is more appropriate to consider expected market returns. We construct the expected market returns by running an AR model and considering the available public information about the macro-economy. The relationship is analysed under different conditions, considering a variety of different mutual fund flow measures, and considering (or not) the sensitivity of mutual fund flows to positive and negative market returns. We also propose different controls for the traditional timing models, and we further analyse the reverse-causality problem. The study demonstrates, for a sample of equity mutual funds registered for sale in the USA, that the poor market timing performance found in this and other prior studies can be completely attributed to the perverse effect of the fund managers’ liquidity service.