A performance evaluation of portfolio managers: tests of micro and macro forecasting

This study examines the performance of Irish domiciled funds over the period 1988 to 2000. The study specifically examines whether Irish portfolio managers, particularly in light of the small and thinly traded domestic market, can effectively partake in micro or macro forecasting. Four alternative models are used to jointly assess micro and macro forecasting, while a fifth non-parametric model is used to solely examine market timing effects. The results reveal consistent evidence of poor micro forecasting/stock selection ability across the funds examined. The macro forecasting results are more varied, with some evidence of positive timing ability in two of the models. In addition, significant correlations are generally found between the funds micro and macro forecasting ability, while diagnostic tests reveal limited evidence of mis-specification in the models used.     

Bayesian inference and portfolio efficiency

A Bayesian approach is used to investigate a sample's informationabout a portfolio's degree of inefficiency. With standard diffusepriors, posterior distributions for measures of portfolio inefficiencycan concentrate well away from values consistent with efficiency,even when the portfolio is exactly efficient in the sample.The data indicate the that the NYSE-AMEX market portfolio israther inefficient in the presence of a riskless asset, althoughthis conclusion is justified only after an anslysis using informativepriors. Including a riskless asset significantly reduces anysample's ability to produce posterior distributions supportingsmall degrees of inefficiency.     

International portfolio selection and efficiency analysis

In the risk-return tradeoff, the traditional mean-variance analysis has been widely used for studies of international portfolio efficiency and diversification. Without prior knowledge about either the parametric structure of assets' return distributions or the form of investors' preference functions, the variance may no longer serve as a suitable risk proxy. This article examines international portfolio efficiency and diversification effects through mean-variance and various distribution-free (or less restrictive) risk-return measures. We show empirically that the mean-variance model is appropriate for large or well-diversified portfolios, but may provide biased results for single assets and less diversified portfolios. While stochastic dominance stands as theoretically the most appropriate method of international portfolio selection and efficiency analysis, the lack of optimal search algorithms reduces its practical usefulness. Very little gain is obtained by using the Gini-mean-difference risk measure as compared to the semivariance measure. The semivariance measure is a powerful and convenient discriminator of risky prospects, while stochastic dominance can serve as a benchmark to justify portfolio efficiency.     

Omega performance measure and portfolio insurance

We analyze the performance of the two main portfolio insurance methods, the OBPI and CPPI strategies, using downside risk measures. For this purpose, we introduce Kappa performance measures and especially the Omega measure. These measures take account of the entire return distribution. We show that the CPPI method performs better than the OBPI. As a-by-product, we determine the set of threshold values for these risk/reward performance measures.     

Foreign market portfolio concentration and performance

Using security holdings of 49,857 foreign investors on the Oslo Stock Exchange (OSE), I test whether concentrated investment strategies in international markets result in excess risk-adjusted returns. I find that investors with higher learning capacity increase returns, while investors with lower learning capacity decrease returns from the portfolio concentration. I measure learning capacity as institutional classification, geographical proximity to Norway, and cultural closeness to Norwegian investors (as based on the Hofstede cultural closeness measures). I conclude, consistent with the information advantage theory, that concentrated investment strategies in foreign markets can be optimal (disastrous) for investors with higher (lower) learning capacity.     

Expected earnings growth and portfolio performance

We form portfolios based on forecasted growth rates in earnings and apply stochastic dominance tests. Low expected-growth rate portfolios dominate high expected-growth rate portfolios. This suggests that the superior return performance of value stocks is not due to omitted risk factors but is a consequence of investors making systematic errors in forming earnings expectations. Fama and French (1992) extend and refine the results of previous studies that report relationships between stock returns and firm characteristics (e.g., Banz (1981), firm size; Rosenberg et al. (1985), book value to market value; Basu (1983) and Jaffe et al. (1989), earnings-to-price ratio; and Keim (1985), dividend yield).     

Asymmetric information and portfolio performance measurement

This note argues that though Dave Mayers and Edward Rice were able to show that the CAPM could be used to detect superior investors in a world of asymmetric information, their demonstration does not resurrect the CAPM as a practical tool for performance measurement. To employ the Mayers-Rice model, an investment advisor would first have to determine that the CAPM holds for uninformed investors. As a means of avoiding the problem of testing the CAPM, a performance measure based only on returns is outlined. The measure is robust in that it would correctly designate superior investors in context of the CAPM, the arbitrage pricing model and many other equilibrium models of security pricing.     

A Bayesian approach to testing portfolio efficiency

This paper develops a Bayesian test of portfolio efficiency and derives a computationally convenient posterior-odds ratio. The analysis indicates that significance levels higher than the traditional 0.05 level are recommended for many test situations. In an example from the literature, the classical test fails to reject with p-value 0.082, yet the odds are nearly two to one against efficiency under apparently reasonable assumptions. Procedures for testing approximate efficiency and for aggregating subperiod results are also considered.     

Individual home bias,portfolio churning and performance

This study investigates economic consequences of individual investors’ home bias and portfolio churning in their personal pension accounts. The empirical analysis is carried out within a Heckman style two-stage framework to account for selection bias with respect to individuals’ investment activity, and to allow for an endogenously determined home bias, portfolio churning and performance. Results indicate that home bias induces a worse risk-adjusted performance. Home-biased individuals’ relatively bad performance originates in insufficient risk-reduction, due to a lack of international diversification. A higher degree of portfolio churning also deteriorates performance, despite the fact that churning is not associated with any direct transaction costs. However, home-biased individuals do not churn portfolios as often as individuals with a larger share of international asset holdings, which diminishes the negative effects of home bias on performance. Overconfidence is driven by a return-chasing behavior, where overconfident individuals favor international assets with high historical returns. Individuals with actual skill are more often men than women, are not tempted by high historical returns, and use international assets for the right reason – diversification.     

Greenness index: IPO performance and portfolio allocation

This study examines how the greenness of the firm affects the short- and long-term performance of IPOs. To measure the greenness of the firm, we develop the Greenness Index based on the emissions produced. We find that the greenness of the firms operating in services and financial sectors is higher than in other sectors. To examine the short- and long-run performance of IPOs, we classify our sample into high and low green firms. In the short-run, high green firms obtain a lower return than low green firms. However, high green firms perform better than low green firms in the long-run. This study also determines the factors that cause short- and long-run performance, and the results suggest that the firm’s greenness negatively influences initial returns and underperformance of IPOs. Finally, we develop a theoretical model in terms of the portfolio's allocation and assert that investors participate in high-green firms to optimize their portfolio.     

Using industry momentum to improve portfolio performance

Minimum-variance portfolios, which ignore the mean and focus on the (co)variances of asset returns, outperform mean–variance approaches in out-of-sample tests. Despite these promising results, minimum-variance policies fail to deliver a superior performance compared with the simple 1/N rule. In this paper, we propose a parametric portfolio policy that uses industry return momentum to improve portfolio performance. Our portfolio policies outperform a broad selection of established portfolio strategies in terms of Sharpe ratio and certainty equivalent returns. The proposed policies are particularly suitable for investors because portfolio turnover is only moderately increased compared to standard minimum-variance portfolios.     

Benchmark-based evaluation of portfolio performance: a characterization

Benchmarking is a universal practice in portfolio management and is well-studied in the optimal portfolio selection literature. This paper derives axiomatic foundations of the relative return, which underlies a benchmark-based evaluation of portfolio performance. We show that the existence of a benchmark naturally arises from a few basic axioms and is tightly linked to the economic theory. Our method relies on the use of both axiomatic and economic approaches to index number theory. We also analyze the problem of optimal portfolio selection under complete uncertainty about a future price system, where the objective function is the relative return.     

On the performance of the minimum VaR portfolio

Alexander and Baptista [2002. Economic implications of using a mean-value-at-risk (VaR) model for portfolio selection: A comparison with mean–variance analysis. Journal of Economic Dynamics and Control 26: 1159–93] develop the concept of mean-VaR efficiency for portfolios and demonstrate its very close connection with mean–variance efficiency. In particular, they identify the minimum VaR portfolio as a special type of mean–variance efficient portfolio. Our empirical analysis finds that, for commonly used VaR breach probabilities, minimum VaR portfolios yield ex post returns that conform well with the specified VaR breach probabilities and with return/risk expectations. These results provide a considerable extension of evidence supporting the empirical validity and tractability of the mean-VaR efficiency concept.     

Exact distribution-free tests of mean-variance efficiency

This paper develops exact distribution-free tests of unconditional mean-variance efficiency. These new tests allow for unknown forms of non-normalities, conditional heteroskedasticity, and other non-linear temporal dependencies among the absolute values of the error terms in the asset pricing model. Exactness here rests on the assumption that the joint temporal error density is symmetric around zero. This still leaves open the possibility of return distribution asymmetry via coskewness with the benchmark portfolio. A simulation study shows that the new tests have very good power relative to that of many commonly used tests. The inference procedures developed are further illustrated by tests of the mean-variance efficiency of a market index using a 42-year sample of monthly returns on ten U.S. equity portfolios.     

Measuring bond mutual fund performance with portfolio characteristics

This paper studies the performance of U.S. bond mutual funds using measures constructed from a novel data set of portfolio weights. Active fund managers exhibit outperformance before costs and fees generating, on average, gross returns of 1% per annum over the benchmark portfolio constructed using past holdings (approximately the same magnitude as expenses and transaction costs combined). This suggests that fund managers are able to earn back their fees and costs. There is evidence of neutral ability to time different portfolio allocations (sector, credit quality, and portfolio maturity allocations) and only a subgroup of bond funds exhibit successful timing ability. One performance measure based on portfolio holdings predicts future fund performance and provides information not contained in the standard measures. These results provide the first evidence of the value of active management in bond mutual funds.     

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.     

Do ADRs enhance portfolio performance for a domestic portfolio? Evidence from the 1990s

American depository receipts (ADRs) represent an increasingly popular and convenient mechanism for international investing. We analyze ADRs traded throughout the 1990s and find that these securities offer a diversification and portfolio performance benefit when combined with a domestic portfolio (proxied by the S&P 500). While we find that emerging market ADRs are effective instruments for reducing portfolio risk, they do not improve portfolio performance as measured by the Sharpe ratio. Developed market ADRs do improve portfolio performance as measured by the Sharpe ratio. The asset allocation which maximizes the Sharpe ratio is 84 percent domestic stocks, 16 percent developed ADRs, and 0 percent emerging ADRs. Further, due to problems in defining an appropriate market index for ADRs, the Sharpe ratio is viewed to be the preferred performance measure. Other measures such as Jensen’s alpha and the Treynor measure are susceptible to being “gamed” to distort portfolio performance.