Recently, a large body of academic literature has focused on the area of stable distributions and their application potential for improving our understanding of the risk of hedge funds. At the same time, research has sprung up on standard Bayesian methods applied to hedge fund evaluation. Little...

The evaluation of hedge fund performance is challenging given the flexible nature of hedge funds' strategies and their lack of operational transparency. As a result inference about skill is inevitably contaminated by the error in the benchmark model. To address this concern, we propose a model...

This paper discusses the application of statistical, survey sampling technique to hedge fund tracking problems. I describe a strategy that allows an investor or a fund of hedge funds manager, to construct a small tracking portfolio that replicates the time series changes of the total relative...

Good market timing skills can be an important factor contributing to hedge funds' out-performance. In this paper we use a unique semi-parametric panel data model capable of providing consistent short period estimates of the return correlations with three market factors for a sample of Long/Short...

This paper introduces a large scale simulation framework for evaluating hedge funds' investments subject to the realistic constraints of institutional investors. The method is customizable to the preferences and constraints of individual investors, including investment objectives, performance...

This paper empirically decomposes hedge fund excess return into factor timing, security selection, and risk premium using Lo (2008)'s performance measure. Portfolio-level tests show that security selection explains most of the excess return generated by hedge funds during 1994-2009, and the...

We investigate the performance of funds that specialise in cryptocurrency markets and contribute to a growing literature that aims to understand the value of digital assets as investments. The main empirical results support the idea that cryptocurrency funds generate significantly alphas...

In the first of two papers, we present a factor-decomposition based framework that facilitates non-parametric risk analysis for complex hedge fund portfolios in the absence of portfolio level transparency. Our approach has been designed specifically for use within the hedge funds-offunds...

This paper explores the optimisation of asset allocation within “alternative” investments, i.e. between private equity and hedge funds, as well as between private equity and public equities. It uses our proprietary Portfolio Blender tool. As a preliminary step before the optimisation, we...

This report is a brief of the actual research and discusses two ways of asset allocation in Hedge Funds to generate alpha over the fund of hedge funds. The fund of hedge funds have fallen out of favour for investors seeking alternative investments as they have lagged the general market returns....