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.     

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.     

Exploring the benefits of using stock characteristics in optimal portfolio strategies

I examine the benefits of using stock characteristics to model optimal portfolio weights in stock selection strategies using the characteristic portfolio approach of Brandt, Santa-Clara, and Valkanov. [2009. “Parametric Portfolio Policies: Exploiting Characteristics in the Cross-section of Equity Returns.” Review of Financial Studies 22: 3411–3447]. I find that there are significant out-of-sample performance benefits in using characteristics in stock selection strategies even after adjusting for trading costs, when investors can invest in the largest 350 UK stocks. Imposing short selling restrictions on the characteristic portfolio strategy leads to more consistent performance. The performance benefits are concentrated in the earlier part of the sample period and have disappeared in recent years. I find that there no performance benefits in using stock characteristics when using random subsets of the largest 350 stocks.     

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.     

保险公司资产组合与最优投资比例研究

保险公司收益主要来源于承保利润和投资收益,其中承保利润受政策变动、市场条件等外部环境的影响较大,而投资收益则更多地取决于保险公司的投资能力,因此保险公司如何构建资产组合、如何确定最优投资比例就是获取投资收益最大化的重要因素。本文通过理论推导得出了保险公司的资产组合模型并运用非线性规划求解出最优投资比例,进而根据保险公司的投资数据进行了实证研究,为我国保险公司的资产组合及最优投资比例提供了一个可借鉴的思路。     

Correlation risk,cross-market derivative products and portfolio performance*

We consider portfolios whose returns depend on at least three variables and show the effect of the correlation structure on the probabilities of the extreme outcomes of the portfolio return, using a multivariate binomial approximation. the portfolio risk is then managed by using derivatives. We illustrate this risk management both with simple options, whose payoff depends upon only one of the underlying variables, and with more complex instruments, whose payoffs (and values) depend upon the correlation structure The question of benchmarking portfolio performance is complicated by the use of derivatives, especially complex derivatives, since these instruments fundamentally alter the distribution of returns. We use the multivariate binomial model to set performance benchmarks for multicurrency, international portfolios. Our model is illustrated using a simple example where a German institution invests a proportion of its funds in Germany equities and the remainder in UK equities. Portfolio performance is measured in Deutsche Marks and depends upon (1) the DAX index, (2) the FTSE index and (3) the Deutsche Mark-Sterling exchange rate. The output of the model is a simulation of possible outcomes from the portfolio hedging strategy. the difference in our methodology is that we are able to retain the simplicity of the binomial distribution, used extensively in the analysis of options, in a multivariate context. This is achieved by building three (or more) binomial trees for the individual variables and capturing the correlation structure with the use of varying conditional probabilities.     

A bootstrap-based comparison of portfolio insurance strategies

This study presents a systematic comparison of portfolio insurance strategies. We implement a bootstrap-based hypothesis test to assess statistical significance of the differences in a variety of downside-oriented risk and performance measures for pairs of portfolio insurance strategies. Our comparison of different strategies considers the following distinguishing characteristics: static versus dynamic protection; initial wealth versus cumulated wealth protection; model-based versus model-free protection; and strong floor compliance versus probabilistic floor compliance. Our results indicate that the classical portfolio insurance strategies synthetic put and constant proportion portfolio insurance (CPPI) provide superior downside protection compared to a simple stop-loss trading rule and also exhibit a higher risk-adjusted performance in many cases (dependent on the applied performance measure). Analyzing recently developed strategies, neither the TIPP strategy (as an ‘improved’ CPPI strategy) nor the dynamic VaR-strategy provides significant improvements over the more traditional portfolio insurance strategies.     

A Performance Comparison Between Cross-Sectional Stochastic Dominance and Traditional Event Study Methodologies

In this study, the performance of cross-sectional stochastic dominance (SD), first proposed by Falk and Levy (FL) (1989), is compared with three traditional event study methodologies: the Mean Adjusted model, the Market Adjusted model, and the Market and Risk Adjusted Returns model. The comparison technique we use is a simulations approach similar to that of Brown and Warner (BW) (1980). BW show that the Mean Adjusted and Market Adjusted Returns models perform as well as the more sophisticated Market and Risk Adjusted Returns model. FL, however, provide a very compelling argument against the three traditional event study methodologies. The problem, they note, is not the theoretical need for risk adjustment; it is the definition and measurement of risk. FL assert that the observed abnormal returns (or lack thereof) may be due to omitted variables, a market proxy effect, or other specification errors in implementing the traditional event study methodologies.The present research finds that SD analysis without the bootstrap method for statistical testing is not very useful at any level of abnormal return. However, when the bootstrap method of statistical testing is employed, SD is found to perform as well as, and sometimes better than, the three traditional models in detecting simulated abnormal performance at all test levels. The results are consistent with FL's assertion that the improved performance may result from the SD methodology being free from the specification errors inherent in the three traditional event study models.     

Board of directors characteristics and credit union financial performance: a pitch

This short paper applies the ‘pitching research’ template developed by Faff (2015) to an academic research topic in corporate governance of Australian credit unions, from an accounting discipline perspective. The pitch template identifies the core elements that form the framework of any research project.     

Evaluation of linear asset pricing models by implied portfolio performance

We present a theoretical perspective that motivates the use of the Generalized Least Squares R-Square, prominently advocated by Lewellen et al. [Lewellen, J., Nagel, S., Shanken, J., forthcoming. A skeptical appraisal of asset-pricing tests. Journal of Financial Economics], as an evaluation measure for multivariate linear asset pricing models. Adapting results from Shanken [Shanken, J., 1985. Multivariate tests of the zero-beta CAPM. Journal of Financial Economics 14, 327–348] and Kandel and Stambaugh [Kandel, S., Stambaugh, R.F., 1995. Portfolio inefficiency and the cross-section of expected returns. Journal of Finance 50, 157–184], we provide various interpretations and a graphical account in mean-variance space of this measure, facilitating a better understanding of its properties. We furthermore relate it to another leading evaluation metric, the HJ-distance of Hansen and Jagannathan [Hansen, L.P., Jagannathan, R., 1997. Assessing specification errors in stochastic discount factor models. Journal of Finance 52, 557–590]. Additionally, we present a comparison between these evaluation measures using mean-variance mathematics in risk-return space, and we provide a simple formula for calculating both model evaluation measures that involves only the parameters of the mean-variance asset and factor frontiers.     

对实体经济与虚拟资产回报率关系的研究综述

实体经济和虚拟资产之间回报率关系具有深刻的经济学含义和政策意义。对于实体经济和虚拟资产回报率之间的显著偏离,研究认为,虚拟资产的膨胀根植于实体经济的周期性萧条。然而,对虚拟资产价值的信心仍是建立在其随时可以转换为物质财富基础之上的。货币政策应该充分关注相关的资产价格,应努力研究金融发展和经济回报率偏离的关键因素。     

The Correlation Structure of Unexpected Returns in U.S. Equities

We examine the correlations between unexpected market moves and unexpected equity portfolio moves conditional on market performance. We derive unexpected returns from a two-stage regime switching model. The model allows for time-varying expected returns where the market portfolio alone dictates the regime switching process. Portfolios exhibit a natural hedge where correlations during extreme unexpected market downturns are generally negative. During unexpected market upswings, correlations increase. Using the unconditional analysis would lead to overhedging during market downturns and underhedging during market upswings. The adjustments to the unconditional hedging strategy conditional on extreme market movements frequently exceed ±10%.     

Relative risk aversion once more: An analysis of Japanese households' financial asset holding pattern

It is widely accepted that as the total assets increse, households tend to diversify their portfolios. In other words, absolute risk aversion is decreasing. On the other hand, the proportion of risky assets may increase or decrease depending on whether relative risk aversion (RRA) is decreasing or increasing, and its direction is still left open as an empirical question. This study examines the constancy of RRA from Japanese individual households' financial asset holding data collected in 1984. Constant RRA implies that the proportion of risky assets in one's portfolio is constant regardless of the amount of total assets. A casual observation of household portfolio holding pattern suggests that this implication is clearly violated by the data, because there are substantial proportion of households which do not hold any risky assets. Zero-holding, however, may be interpreted as a result of fixed transaction cost incurred by individual investors when they hold risky assets. Then, we pose a question, ‘Do investors hold constant proportion of risky assets, when they decide to hold them?’ In order to explain a substantial number of zero risky asset holders in the sample, we propose a portfolio selection model with a transaction cost, and estimate the model using a variant of Heckman's two-step method. In estimation we control for individual investors' socioeconomic characteristics, as well as income and total assets. The construction of the model imposes nonlinear restrictions on the two estimators, from which we can test the specification of the model. The estimation results suggest that there is a statistically significant decreasing tendency linked to total assets but that its rate of change tapers off as total assets increase. Our results are consistent with the previous studies which tended to support constant RRA for the higher asset holders, and complement previous studies in explaining lower asset holders' investment behavior.     

A macroeconomic hedge portfolio and the cross section of stock returns

We use a stock's returns on days when important macroeconomic news is released to form a hedge portfolio, which is long (short) in stocks which have a sensitive (insensitive) reaction to the surprise component of the macroeconomic news. This macroeconomic hedge portfolio (MHP) earns a risk premium of about 5% p.a. over time and a similar premium when used as a risk factor in an asset pricing model. This premium can be interpreted as a cost of an insurance against unexpected changes in an investor's marginal utility. We show that risk premiums associated with the MHP are estimated with a higher precision than traditional macroeconomic tracking portfolios. Furthermore, when the MHP is present in a common factor model, risk factors like high minus low lose much of their ability to explain the cross section of stock returns.     

Further evidence on performance evaluation: Portfolio holdings,recommendations, and turnover costs

This paper analyzes the performance of mutual funds in Spain between January 1980 and June 1990. The robustness of results to alternative measurements and benchmarks are analyzed. The results indicate that, with monthly returns alone, it is not possible to distinguish between selectivity and timing. We are only able to measure the magnitude of total performance. To be more precise about the reasons behind performance, portfolio holdings are necessary. This work employs a new data set based on monthly portfolio holdings of a representative sample of funds. A comparison of results using monthly returns and monthly portfolio holdings is made. In particular, thanks to the availability of portfolio holdings, we are able to separate selectivity and timing. Finally, the impact of turnover costs is considered.     

A note on assessing the relation between CEO characteristics and stock performance: Alpha Above Replacement

Many studies examine the relation between stock performance and CEO characteristics. We approach the topic in a different way, using the alphas generated by the Fama‐French three‐factor model as the dependent variable in a CEO characteristic model. We find several traits are significantly related to alpha. CEOs who are younger, own a larger fraction of firm equity and hold a graduate degree provide greater alphas. CEOs who are also the founder of the firm deliver larger alphas. Our results provide useful information for boards assessing the performance of CEOs and considering CEO succession.     

Improving the predictability of real economic activity and asset returns with forward variances inferred from option portfolios

This paper presents an option positioning that allows us to infer forward variances from option portfolios. The forward variances we construct from equity index options help to predict (i) growth in measures of real economic activity, (ii) Treasury bill returns, (iii) stock market returns, and (iv) changes in variance swap rates. Our yardstick for measuring predictive ability is both individual and joint parameter statistical significance within a market, as well as across a set of markets.     

A stochastic dominance analysis of the turnover related performance of mutual funds

Mutual fund performance relative to portfolio turnover is examined for funds in different investment categories using non-parametric, stochastic dominance criteria. We find that, in general, high-turnover funds are at least equally preferable to those with low turnover. This suggests that the costs of obtaining and exploiting information are, on average, compensated for by the subsequent return distribution. The exception is maximum capital gains funds. Here, high-turnover funds clearly dominate those with low turnover and the information gathering function is profitable.We gratefully acknowledge the contribution of an anonymous referee and the comments of Art Gudikunst of Bryant College.     

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.     

Audit committee characteristics and firm performance during the global financial crisis

We address the question ‘do governance enhancing audit committee (AC) characteristics mitigate the firm performance impact of significant‐adverse‐economic events such as the Global Financial Crisis (GFC)?’ Our analysis reveals that smaller audit committees with more experience and financial expertise are more likely to be associated with positive firm performance in the market. We also find that longer serving chairs of audit committees negatively impacts accounting performance. However, accounting performance is positively impacted where ACs include blockholder representation, the chair of the board, whose members have more external directorships and whose chair has more years of managerial experience. We contribute to the growing body of research on the impact of audit committee governance attributes on performance during times of financial distress.