This article analyzes the effect of liquidity risk on the performance of equity hedge fund portfolios. Similarly to Avramov, Kosowski, Naik, and Teo (2007),(2011), we observe that, before accounting for the effect of liquidity risk, hedge fund portfolios that incor- porate predictability in managerial skills generate superior performance. This outperfor-mance disappears or weakens substantially for most emerging markets, event-driven, and long/short hedge fund portfolios once we account for liquidity risk. Moreover, we show that the equity market-neutral and long/short hedge fund portfolios' “alphas” also entail rents for their service as liquidity providers. These results hold under various robustness tests.
We argue that the prospect of an imperfect enforcement of debt contracts in default reduces shareholder-debtholder conflicts and induces leveraged firms to invest more and take on less risk as they approach financial distress. To test these predictions, we use a large panel of firms in 41 countries with heterogeneous debt enforcement characteristics. Consistent with our model, we find that the relation between debt enforcement and firms' investment and risk depends on the firm-specific probability of default. A difference-in-differences analysis of firms' investment and risk taking in response to bankruptcy reforms that make debt more renegotiable confirms the cross-country evidence.
The eurozone has a single short-term nominal interest rate, but monetary policy conditions measured by real short-term interest rates varied substantially across countries in the period 2003–2010. We use this cross-country variation in the (local)tightness of monetary policy to examine its influence on equity and money market flows. In line with a powerful risk-shifting channel, we find that fund investors in countries with decreased real interest rates shift their portfolio investment out of the money market and into the riskier equity market,causing significant equity price inflation in countries where investment home bias is the strongest
We consider asymmetric kernel density estimators and smoothed histograms when the unknown probability density function f is defined on [0,+infinity). Uniform weak consistency on each compact set in [0,+infinity) is proved for these estimators when f is continuous on its support. Weak convergence in L_1 is also established. We further prove that the asymmetric kernel density estimator and the smoothed histogram converge in probability to infinity at x=0 when the density is unbounded at x=0. Monte Carlo results and an empirical study of the shape of a highly skewed income distribution based on a large micro-data set are finally provided.
