We investigate the performance of funds that specialise in cryptocurrency markets. In doing so, we contribute to a growing literature that aims to understand the role of digital assets as an investment. Methodologically, we implement a novel panel bootstrap approach that samples jointly the...

We propose a novel methodology that jointly estimates the proportions of skilled/unskilled funds and the cross-sectional distribution of skill in the mutual fund industry. We model this distribution as a three-component mixture of a point mass at zero and two components — one negative, one...

In this paper, we study mutual fund performance in terms of timing ability with daily data from 1998 to 2009. A novel timing model is proposed by incorporating the regime-switching framework into the Treynor and Mazuy (1966) model. The volatility follows a generalized autoregressive conditional...

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...

Professional asset allocators frequently report positive alphas, and the generation of alpha is widely discussed in the context of asset allocation. This paper demonstrates that two-fund asset allocation strategies contain a positive-alpha bias and derives an expression for the alpha of an asset...

When using daily mutual fund returns to study the market timing, heavy tails and heteroscedasticity significantly challenge the existing methods. We to accommodate them, we propose a new measure and an efficient test for market timing ability and find that the traditional test misclassifies...

We show that two prominent bootstrap tests for fund skill have distorted test sizes because many funds have short return records and skewed return residuals, and they lack test power to detect skilled funds when a substantial number of unskilled funds are present. We develop the theory for a...

I present empirical results on the first active exchange traded funds (ETFs) based on risk, return and incentives. Using models for both the returns and the volatility of the underlying assets, I compare the performance of the suggested models with the alternative investment solutions such as...

Barras, Scaillet, Wermers (2010) propose the False Discovery Rate to separate skill (alpha) from luck in fund performance. Using simulations with parameters informed by the data, we find that this methodology is overly conservative and underestimates the proportion of nonzero-alpha funds. E.g.,...

This paper analyses the purchase and redemption behaviour of mutual fund investors and its implications on fund liquidity risk. We collect a novel set of proprietary data which contains a large number of French investors holding funds with various degrees of asset liquidity. We build a...