We develop a new tail risk measure for hedge funds to examine the impact of tail risk on fund performance and to identify the sources of tail risk. We find that tail risk affects the cross-sectional variation in fund returns, and investments in both, tail-sensitive stocks as well as options,...

The risk of infrastructure firms is driven by unique factors that cannot be well described by standard asset class factor models. We thus create a seven-factor model based on infrastructure-specific risk exposure, i.e., market risk, cash flow volatility, leverage, investment growth, term risk,...

Contrary to the common wisdom that asset prices are barely possible to forecast, we show that that high and low prices of equity shares are largely predictable. We propose to model them using a simple implementation of a fractional vector autoregressive model with error correction (FVECM). This...

This paper examines whether investors receive a compensation for holding stocks with a strong sensitivity to extreme market downturns in a worldwide sample covering 40 different countries. I find that stocks with strong crash sensitivity earn higher average returns than stocks with weak crash...

Model builders face ambiguity about the true data generating process. Consequently, they need to deal with ambiguity attitudes (inside uncertainty) and ambiguous financial reality (outside uncertainty) when developing and estimating financial models. We introduce a novel approach for...

We investigate whether investors receive compensation for holding stocks with strong systematic liquidity risk in the form of extreme downside liquidity (EDL) risk. Following the logic of Acharya and Pedersen (2005), we capture a stock's EDL risk by the lower tail dependence between (i)...

We examine whether investors receive a compensation for holding crash-sensitive stocks. We capture the crash sensitivity of stocks by their lower tail dependence with the market based on copulas. Stocks with strong contemporaneous crash sensitivity clearly outperform stocks with weak crash...

We examine the daily activity and performance of a large panel of individual investors in Sweden's Premium Pension System in the period 2000 to 2010. We find that active investors outperform passive investors, and that there is a causal effect of fund changes on performance. Chosen funds...

We use a proprietary dataset from a large Swiss retail bank to examine the impact of financial advice on individual investors’ stock trading performance and their behavioral biases. Our data allows us to classify each individual trade as either advised or independent and to compare them in a...