We study the exposure of mortgage borrowers in Switzerland to interest rate, income and house price risks and examine how the households' choice of risky mortgages is related to individual interest rate expectations and risk-aversion. Our analysis is based on a unique data set of household...

We make use of the universe of immigrants who arrived in Switzerland between 1992 and 2013, granular community level house price and wage data as well as detailed information on the Swiss population to study the effects of immigration on the location choice of incumbent households. Immigration...

In this paper, we investigate the performance persistence of hedge funds over time horizons between 6 and 36 months based on a merged sample from the Lipper/TASS and CISDM databases for the time period from 1994 to 2008. Unlike previous literature, we use a panel probit regression approach to...

While there is a large literature documenting the profitability of momentum strategies, their implementation is afflicted with many difficulties. Most importantly, high turnover and costs to hold short positions, especially in small-cap stocks, result in high transaction costs. We restrict our...

This paper investigates the alpha generation of the hedge fund industry based on a recent sample compiled from the Lipper/TASS database covering the time period from January 1994 to September 2008. We find a positive average hedge fund alpha in the cross-section for the majority of strategies...

We use a dataset from a large retail bank to examine the impact of financial advice on investors' stock trading performance and behavioral biases. Our data allow us to classify each individual trade as either advised or independent and to compare them in a trade-by-trade within-person analysis....

We develop a new systematic tail risk measure for equity-oriented 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...

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...

The risk of infrastructure investments is driven by unique factors that cannot be well described by standard asset class factor models. We thus create a nine-factor model based on infrastructure-specific risk exposure, i.e., market risk, size, value, momentum, cashflow volatility, leverage,...

We merge the literature on downside return risk and liquidity risk and introduce the concept of extreme downside liquidity (EDL) risks. The cross-section of stock returns reflects a premium if a stock's return (liquidity) is lowest at the same time when the market liquidity (return) is lowest....