Australian retail fund performance persistence

The present study extends the Australian fund performance persistence literature through the use of five performance metrics: raw returns, the Sharpe ratio, the single‐factor model and two multifactor models, the Carhart (1997) model and the Gruber (1996) model, in analysis of Australian retail fund performance over the period 1991–2000. Analysis suggests that performance persistence is sensitive to fund objective and appears to be driven by inadequate adjustment for risk.     

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.     

Can Asset Pricing Models Price Idiosyncratic Risk in U.K. Stock Returns?

I examine how well different linear factor models and consumption‐based asset pricing models price idiosyncratic risk in U.K. stock returns. Correctly pricing idiosyncratic risk is a significant challenge for many of the models I consider. For some consumption‐based models, there is a clear tradeoff in the performance of the models between correctly pricing systematic risk and idiosyncratic risk. Linear factor models do a better job in most cases in pricing systematic risk than consumption‐based models but the reverse is true for idiosyncratic risk.     

Stock Returns and Volatility: Pricing the Short‐Run and Long‐Run Components of Market Risk

We explore the cross‐sectional pricing of volatility risk by decomposing equity market volatility into short‐ and long‐run components. Our finding that prices of risk are negative and significant for both volatility components implies that investors pay for insurance against increases in volatility, even if those increases have little persistence. The short‐run component captures market skewness risk, which we interpret as a measure of the tightness of financial constraints. The long‐run component relates to business cycle risk. Furthermore, a three‐factor pricing model with the market return and the two volatility components compares favorably to benchmark models.     

The Performance Persistence of Closed-End Funds

The purpose of this study is to extend the research on mutual fund performance persistence to net asset value and market price performance of domestic closed‐end funds. While research has assessed the performance persistence of open‐end mutual funds, it has not assessed the performance persistence of closed‐end funds. Yet, the unique characteristics of closed‐end funds allow stronger arguments for their persistence than the arguments previously submitted for open‐end mutual funds. The results show evidence for risk‐adjusted performance persistence.     

Persistence and the four‐factor model in the Australian funds market: a note

We investigate whether Australian fund managers are able to deliver persistent performance using Carhart’s (1997) four‐factor model. Short‐ and long‐term persistence is examined and the sample is also divided into unit trusts and superannuation funds. We do not find evidence of persistence in any sample of funds. We find that winner (loser) funds tend to hold past winner (loser) stocks. Winner and loser unit trusts both appear to have positive exposure to small stocks.     

Cross‐sectional Tests of Conditional Asset Pricing Models: Evidence from the German Stock Market

We study the performance of conditional asset pricing models and multifactor models in explaining the German cross‐section of stock returns. We focus on several variables, which (according to previous research) are associated with market expectations on future market excess returns or business cycle conditions. Our results suggest that the empirical performance of the Capital Asset Pricing Model (CAPM) can be improved when allowing for time‐varying parameters of the stochastic discount factor. A conditional CAPM using the term spread explains the returns on our size and book‐to‐market sorted portfolios about as well as the Fama‐French three‐factor model and performs best in terms of the Hansen‐Jagannathan distance. Structural break tests do not necessarily indicate parameter instability of conditional model specifications. Another major finding of the paper is that the Fama‐French model – despite its generally good cross‐sectional performance – is subject to model instability. Unconditional models, however, do a better job than conditional ones at capturing time‐series predictability of the test portfolio returns.     

Testing Conditional Asset Pricing Models Using a Markov Chain Monte Carlo Approach

We use Markov Chain Monte Carlo (MCMC) methods for the parameter estimation and the testing of conditional asset pricing models. In contrast to traditional approaches, it is truly conditional because the assumption that time variation in betas is driven by a set of conditioning variables is not necessary. Moreover, the approach has exact finite sample properties and accounts for errors‐in‐variables. Using S&P 500 panel data, we analyse the empirical performance of the CAPM and the Fama and French (1993) three‐factor model. We find that time‐variation of betas in the CAPM and the time variation of the coefficients for the size factor (SMB) and the distress factor (HML) in the three‐factor model improve the empirical performance. Therefore, our findings are consistent with time variation of firm‐specific exposure to market risk, systematic credit risk and systematic size effects. However, a Bayesian model comparison trading off goodness of fit and model complexity indicates that the conditional CAPM performs best, followed by the conditional three‐factor model, the unconditional CAPM, and the unconditional three‐factor model.     

Performance persistence of closed-end funds

Studies of performance persistence of closed-end funds (CEFs) use two measures of persistence; autocorrelation and rank correlation of performance. The autocorrelation measure offers limited information because it cannot separate persistence relative to the market and to the industry. The rank correlation measure is generally applied to two periods, disregarding multi-period persistence. We investigate performance persistence of CEFs in terms of both market price return and net asset value return using contingency tables and multiple regression models. Jensen’s alpha and the Sharpe ratio are used as measures of risk-adjusted performance. We test three hypotheses: (i) CEFs performing better than the industry median will do so persistently, (ii) CEFs outperform the market persistently; and (iii) performance persistence can be partly explained by dividend yield. The findings are fivefold. First, the number of persistent years varies with the models used to calculate risk-adjusted performance. Second, with 4-index unconditional beta fixed variance model, CEFs persistently beat their industry for six out of 10 years in terms of both market price return and net asset value return. Third, with a 4-index unconditional beta fixed variance model, we find performance persistence relative to market for 6 and 7 years, out of the 10 years considered, in terms of market price return and net asset value return, respectively. Fourth, the disaggregate sample tests show that performance of municipal bond funds is more persistent than equity funds and taxable bond funds. Fifth, dividend patterns can partially explain persistence with liquidity as control.     

Modelling conditional heteroscedasticity and jumps in Australian short-term interest rates

The present paper explores a class of jump–diffusion models for the Australian short‐term interest rate. The proposed general model incorporates linear mean‐reverting drift, time‐varying volatility in the form of LEVELS (sensitivity of the volatility to the levels of the short‐rates) and generalized autoregressive conditional heteroscedasticity (GARCH), as well as jumps, to match the salient features of the short‐rate dynamics. Maximum likelihood estimation reveals that pure diffusion models that ignore the jump factor are mis‐specified in the sense that they imply a spuriously high speed of mean‐reversion in the level of short‐rate changes as well as a spuriously high degree of persistence in volatility. Once the jump factor is incorporated, the jump models that can also capture the GARCH‐induced volatility produce reasonable estimates of the speed of mean reversion. The introduction of the jump factor also yields reasonable estimates of the GARCH parameters. Overall, the LEVELS–GARCH–JUMP model fits the data best.     

The accrual anomaly: Australian evidence

This paper investigates whether there is evidence of the accrual anomaly ( Sloan, 1996 ) in Australia, whereby investors overestimate the impact of accruals on the persistence of earnings. While our results provide general support for the existence of the anomaly in Australia, there are a number of idiosyncrasies. First, there is evidence of Australian investors underestimating the persistence of earnings. Second, there is evidence of investors incorrectly assessing the implications of accruals and cash flows for the persistence of earnings (i.e. an accrual anomaly and a cash‐flow anomaly). Third, returns to a hedged portfolio trading strategy based on reported accruals are decreasing over the three‐year period subsequent to portfolio formation. Furthermore, they are statistically significant only in the first year. Additional analysis of the hedge portfolio results indicates that these results are primarily attributable to a limited number of firm‐year observations in the extreme positive tail of returns.     

International Islamic funds

Internationally‐investing Islamic equity funds from developed Islamic and non‐Islamic markets perform in general similar to the market. However, analyzing different market conditions, we provide evidence that funds domiciled in Islamic markets outperform their peers and funds from non‐Islamic markets during market turmoil, irrespective of the applied performance measurement model. We suggest that this outperformance is owed to the expertise of fund managers from developed Islamic markets who operate in a financial environment that is driven by Islamic principles. Our results are robust with respect to the standard Fama‐French three‐factor and four‐factor models as well as to the novel five‐factor model.     

The Performance of Hedge Fund Strategies and the Asymmetry of Return Distributions

We present hedge fund performance estimates that adjust for stale prices, Fama‐French risk factors and skewness. We contrast these new performance estimates with traditional performance measures. Using three‐factor models to adjust for staleness in prices and to incorporate Fama‐French factors along with the Harvey‐Siddique (2000) two‐factor model that incorporates skewness, we find that for the period 1990–2003, all hedge fund categories achieve above average performance when measured against an aggregate market index. More significantly, however, when we estimate performance at the individual hedge fund level, we discover that only 40 to 47% of the funds are shown to achieve an above average performance over that time period depending on the model used. These results have important implications for investors, endowments and pensions when they choose hedge fund managers.     

What determines fund performance persistence? International evidence

We study performance persistence across a global sample of equity mutual funds from 27 countries. In contrast to the existing U.S.‐based evidence, we find that net performance persistence is present in the majority of fund industries, suggesting that fund manager skill is commonplace rather than a rarity. Consistent with the intuition that more competition in the mutual fund industry makes remaining a winner fund less likely but keeping a loser fund at the bottom of the performance ranks more probable, we show that competitiveness explains the cross‐sectional variation in performance persistence.     

Are there nonlinearities in short‐term interest rates?

The present paper investigates the characteristics of short‐term interest rates in several countries. We examine the importance of nonlinearities in the mean reversion and volatility of short‐term interest rates. We examine various models that allow the conditional mean (drift) and conditional variance (diffusion) to be functions of the current short rate. We find that different markets require different models. In particular, we find evidence of nonlinear mean reversion in some of the countries that we examine, linear mean reversion in others and no mean reversion in some countries. For all countries we examine, there is strong evidence of the need for the volatility of interest rate changes to be highly sensitive to the level of the short‐term interest rate. Out‐of‐sample forecasting performance of one‐factor short rate models is poor, stemming from the inability of the models to accommodate jumps and discontinuities in the time series data.     

Divergence of Opinion Surrounding Extreme Events

This paper examines the stock market performance of a large sample of new issues (IPOs and SEOs) following an extreme price movement during the first three years after the offering. Strong underperformance follows either a positive or negative (at least +/?15%) one‐day return event. This poor performance cannot be explained by the Fama‐French four‐factor methodology, or by the generally low stock returns of growth firms. Unlike recent issuers, non‐issuers report no poor performance following a similar extreme event using the four‐factor methodology. The extreme event date shows very high levels of turnover, a measure of divergence of opinion. Finally, there is a strong negative linkage between higher levels of divergence of opinion and subsequent stock performance.     

An exploration of the persistence of UK unit trust performance

We examine the persistence in UK unit trust performance between January 1982 and December 1996. We find significant persistence in the relative rankings of trusts using different performance measures. We also find significant persistence in the performance of portfolios of trusts, formed on the basis of prior year excess returns, when performance is evaluated relative to models based on the capital asset pricing model (CAPM) or arbitrage pricing theory (APT). However this persistence is eliminated when performance is evaluated relative to a model similar to Carhart [Journal of Finance 52 (1997) 57]. Using a conditional performance measure leads to significant reversals in performance with this model.     

The information content of portfolio performance history and persistence in fund performance: An examination of rollover funds

This paper examines the relation between past and future performance and explores the optimal past performance information set for a subset of Australian investment funds, namely, rollover funds. Four categories of funds are examined: fixed interest; multi-sector yield; multi-sector balanced; and multi-sector growth. This study extends the performance persistence literature through the use of three methodologies (1) regression analysis;(2) non-parametric contingency tables; and (3) top (and bottom) quartile rankings to explore the information content of fund performance history for groups of funds differentiated by investment objective. The results of the regression analysis suggest that there is evidence in support of persistence in performance for the fixed interest funds (particularly when performance is measured in terms of Jensen Alpha) but much more ambiguous evidence in relation to the multi-sector funds. Contingency table analysis of fund performance histories of varying lengths reveals quite different results depending upon whether raw or risk-adjusted returns are used. Use of raw returns creates an overall impression of performance reversals, whereas use of risk-adjusted returns suggests the existence of performance persistence. Finally, the use of prior period top-quartile and bottom-quartile ranking are found to show strong evidence of persistence in respect to the risk-adjusted performance of fixed-interest funds.     

Monetary Shocks in a Model with Skill Loss

Unemployment shows persistent and long‐lasting responses to nominal and real shocks. Standard real business cycle models with search frictions but a homogeneous labor force are able to generate some volatility and persistence, but not enough to match the empirical evidence. Moreover, empirical studies emphasize the importance of the heterogeneity of the unemployment pool to fully understand unemployment dynamics. In particular, in most European countries the incidence of long‐term unemployment is large and well known. One of the possible causes/consequences of long‐term unemployment is the skill deterioration of the unemployment pool. In this paper, we introduce the skill loss mechanism, and therefore a heterogeneous labor force, in a New Keynesian framework with search frictions. Calibrating the model for the Spanish economy, we show that while the skill loss mechanism helps to explain the magnitude of the response of unemployment to monetary shocks, it does not improve the performance of the homogeneous worker model in terms of the persistence of the response, especially for short‐ and long‐term unemployment.     

A note on accounting conservatism in residual income and abnormal earnings growth equity valuation

The impact of conservative accounting on residual income (RI) and abnormal earnings growth (AEG) valuation models is investigated in this note. Limiting the analyses to information dynamics constrained models (the core models in Ohlson, 1995; Ohlson & Juettner-Nauroth, 2005), we find that both models can handle accounting conservatism if the persistence factors of residual income or abnormal earnings growth fulfil certain conditions. In a comparison of permissible time-series specifications, the AEG model can potentially handle more conservatively biased earnings in the first forecast period than the RI model. However, this requires that the growth of the conservative bias in the second forecast period is not too large. In a 0-NPV competitive equilibrium with a constant steady state growth, both models work equally well. Further elaborations indicate that, in the presence of accounting conservatism a reasonable value of the persistence factor of residual income in the RI model should be in the interval between 1.0 and R (where R = 1 + discount rate), whereas the persistence factor of abnormal earnings growth in the AEG model should be close to 1.0. This implies that the persistence factor in the RI model appears to have been understated while the persistence factor in the AEG model appears to have been overstated in previous empirical research.