This paper analyses the fundamental drivers of risk and return in portfolios of private equity fund investments. We draw on a large data set of 771 mature European and North American primary buyout funds with historic performance information from Preqin covering vintages from 1998-2007. Using...

In aftermath of the Financial Crisis, some risk management practitioners advocate wider adoption of Bayesian inference to replace Value-at-Risk (VaR) models for minimizing risk failures (Borison & Hamm, 2010). They claim reliance of Bayesian inference on subjective judgment, the key limitation...

Managed volatility strategies adjust market exposure in inverse relation to a risk estimate, to stabilize realized portfolio volatility through time. Our paper examines strategy performance from an investment practitioner perspective. Using long-term data from the Standard & Poor's 500, we show...

A value investing strategy consists of purchasing stocks relatively undervalued to their fundamental values and selling those relatively overvalued. Finding this kind of companies has been one of the most challenging goals for investors throughout the history. The main objective of this paper is...

The return dynamics of Argentina's main stock index, the SP Mer.Val., show a high level of volatility, signaling a higher degree of downside risk. To hedge against that specific risk, investors could buy put options. However, the Argentinean capital market slacks variety of hedging contracts....

A value investing strategy consists of purchasing stocks relatively undervalued to their funda-mental values and selling those relatively overvalued. Finding this kind of companies has been one of the most challenging goals for investors throughout the history. The main objective of this paper...

Common research suggests that investor sentiment is negatively related to future stock returns and positively related to future volatility. I incorporate this idea in the asset allocation process by blending both views on the expected return and the conditional value at risk (CVaR) based on...

We provide a model-free framework for studying the dynamics of the state vector and its risk prices. Specifically, we derive a frequency domain decomposition of the unconditional asset return premium in a general setting with a log-affine stochastic discount factor (SDF). Importantly, we show...

This paper extends Meucci's Effective Number of Bets to general risk measures with heavy-tailed distributions. By diagonalizing the Hessian matrix of a risk measure we are able to extract locally independent marginal contributions to the risk. The Minimal Torsion approach can still be applied to...