Implied measures of relative fund performance

We evaluate the relative performance of funds by conditioning their returns on the cross-section of portfolio characteristics across fund managers. Our implied procedure circumvents the need to specify benchmark returns or peer funds. Instead, fund-specific benchmarks for measuring selection and market timing ability are constructed. This technique is robust to herding as well as window dressing and mitigates survivorship bias. Empirically, the conditional information contained in portfolio weights defined by industry sectors, assets, and geographical regions is important to the assessment of fund management. For each set of portfolio characteristics, we identify funds with success at either selecting securities or timing-the-market.

An evaluation of conditional multi-factor models in active asset allocation strategies: an empirical study for the German stock market

This paper examines the out-of-sample performance of asset allocation strategies that use conditional multi-factor models to forecast expected returns and estimate the future variance and covariance. We find that strategies based on conditional multi-factor models outperform strategies based on unconditional multi-factor models, and do better than a passive buy-and-hold strategy. However, a strategy that uses the sample mean as a return forecast is superior. We also find that the estimation of the covariance matrices based on the conditional and unconditional multi-factor models does not improve the performance of the active asset allocation strategy relative to the incorporation of the historical covariance matrices. These results are fairly robust to different estimation approaches, as well as to the impact of transaction costs and the consideration of upper and lower bounds for the portfolio weights.

Alternative beta applied—an introduction to hedge fund replication

Motivated by the surge in popularity of passive hedge fund investments, the present article discusses the concept of “alternative beta” and its implications for the hedge fund industry. The article covers a variety of topics, ranging from the basic rationale for hedge fund replication to replication methodologies and products to the academic and financial market environment. We find that with their radical departure from the hedge fund hallmark of alpha delivery, passive replication products represent the next generation of hedge fund investing, and offer the catalyst for further development of the matured hedge fund industry. Further, we show how the alternative beta concept contributes to a proper separation of alpha, and thus enhances the overall efficiency and quality of hedge fund returns. The article also demonstrates that hedge fund replication can take several different forms. In conclusion, we believe that passive hedge fund products have the potential to consistently outperform mediocre (funds of) hedge funds on an after-fee basis.

The tactical and strategic value of hedge fund strategies: a cointegration approach

This paper analyzes long-term comovements between hedge fund strategies and traditional asset classes using multivariate cointegration methodology. Since cointegrated assets are tied together over the long run, a portfolio consisting of these assets will have lower long-term volatility. Thus, if the presence of cointegration lowers uncertainty, risk-averse investors should prefer assets that are cointegrated. Long-term (passive) investors can benefit from the knowledge of cointegrating relationships, while the built-in error correction mechanism allows active asset managers to anticipate short-run price movements. The empirical results indicate there is a long-run relationship between specific hedge fund strategies and traditional financial assets. Thus, the benefits of different hedge fund strategies are much less than suggested by correlation analysis and portfolio optimization. However, certain strategies combined with specific stock market segments offer portfolio managers adequate diversification potential, especially in the framework of tactical asset allocation.

The Greenspan years: an analysis of the magnitude and speed of the equity market response to FOMC announcements

We examine the impact of monetary policy on the S&P 500 using intraday data. The analysis shows an economically and statistically significant relationship between S&P 500 intraday returns and changes in the Fed funds target rate. The significance and magnitude of the response is dependent on whether the change was expected or unexpected. An expected change in the Fed funds target rate has no impact on prices in the broad equity market; however, an unexpected change of 25 basis points in the Fed funds target rate results in an approximate 48 basis points decline in the broad equity market’s return. The speed of these market reactions is rapid with the equity market reaching a new equilibrium within 15 minutes.

Trading Intensity and Real Estate Performance

This paper investigates whether it is possible to create value through the active management of direct property portfolios. Using data from the USA, the UK and Australia, we examine whether trading intensity and portfolio growth explain the risk and return characteristics of listed property companies. The results suggest that beating the market by pursuing tactical asset selection and investment timing strategies is difficult even when acquiring and disposing of properties in illiquid private property markets. When the property type in which the firm specializes is included as a control variable in the regressions, none of the portfolio management intensity indicators developed in this paper is significantly associated with abnormal performance or systematic risk.

The optimal asset allocation of the main types of pension funds: a unified framework

The existing literature deals with the optimal investment strategy of defined benefit (DB) or defined contribution (DC) pension plans. This article’s objective is to compare the optimal policies of different types of pension plans. This is done by first defining an original framework, which is based on the distinction between the nature of the guarantee—which can be internal or external—offered by or to a pension fund. This framework allows to establish links between optimization programs of DC, DB and targeted money purchase schemes. The case of an internal guarantee appears as a standard portfolio insurer’s problem. The second kind of guarantee, not analyzed in the literature yet with regard to the resulting optimal policy, is characterized by the existence of an option in the final wealth definition. Four funds are present in the internal guarantee optimal allocation: the speculative component, the preference independent guarantee- and contribution-hedge terms and the preference dependent state variable-hedge fund. The external guarantee program, solved with an original method using the principles of standard options theory, yields an optimal policy incorporating the delta of the option embodied in the final wealth definition. The conclusion is that the resulting optimal portfolio policy becomes riskier.

Optimal Time to Sell in Real Estate Portfolio Management

This paper examines the properties of optimal times to sell a diversified real estate portfolio. The portfolio value is supposed to be the sum of the discounted free cash flows and the discounted terminal value (the discounted selling price). According to Baroni et al. (Journal of Property Investment and Finance 25(6):603–625, 2007b), we assume that the terminal value corresponds to the real estate index. The optimization problem corresponds to the maximization of a quasi-linear utility function. We consider three cases. The first one assumes that the investor knows the probability distribution of the real estate index. However, at the initial time, he has to choose one deterministic optimal time to sell. The second one considers an investor who is perfectly informed about the market dynamics. Whatever the random event that generates the path, he knows the entire path from the beginning. Then, given the realization of the random variable, the path is deterministic for this investor. Therefore, at the initial time, he can determine the optimal time to sell for each path of the index. Finally, the last case is devoted to the analysis of the intertemporal optimization, based on the American option approach. We compute the optimal solution for each of these three cases and compare their properties. The comparison is also made with the buy-and-hold strategy.

Analysing the performance of managed funds using the wavelet multiscaling method

We propose a new approach for investigating the performance of managed funds using wavelet analysis and apply it to an Australian dataset. This method, applied to a multihorizon Sharpe ratio, shows that the wavelet variance at the short scale is higher than that of the longer scale, implying that an investor with a short investment horizon has to respond to every fluctuation in the realized returns, while for an investor with a much longer horizon, the long-run risk associated with unknown expected returns is not as important as the short-run risk. Using multihorizon Sharpe ratios of six groups of managed funds, we find that none of the fund groups are dominant over all time scales.

Continuous-time delegated portfolio management with homogeneous expectations: can an agency conflict be avoided?

In a continuous-time framework, the issue of how to delegate an investor’s portfolio decision to a portfolio manager is studied. First, we solve the first-best problem. For the second-best case, a specific quadratic contract is introduced resolving the agency conflict completely in the sense that the solutions to the first-best and second-best problems coincide. This contract can be implemented if the investor is able to observe the value of the growth optimal portfolio at her investment horizon. If the investment opportunity set is assumed to be constant, in equilibrium the value of the market portfolio is a sufficient statistic for the value of the growth optimal portfolio. Throughout the paper, we assume that the investor and the manager have homogeneous expectations about the investment opportunity set. This, however, does not necessarily mean that investor and manager are symmetrically informed about all prices.