We use intraday data to compute weekly realized variance, skewness, and kurtosis for equity returns and study the realized moments' time-series and cross-sectional properties. We investigate if this week's realized moments are informative for the cross-section of next week's stock returns. We...

This paper examines the factors that affect inflows – outflows of capital in bond mutual funds that operated in the Greek market during the period 1997-2005. Investors in bond mutual funds do not seek for high gross returns in order to determine their investment decisions in contrast with...

Extending previous work on mutual fund pricing, this paper introduces the idea of modeling the conditional distribution of mutual fund returns using a fat tailed density and a time-varying conditional variance. This approach takes into account the stylized facts of mutual fund return series,...

In the context of an international portfolio diversification problem, we find that small capitalization equity portfolios become riskier in bear markets, i.e. display negative co-skewness with other stock indices and high co-kurtosis. Because of this feature, a power utility investor ought to...

This paper examines continuous-time models for the S&P 100 index and its constituents. We find that the jump process of the typical stock looks significantly different than that of the index. Most importantly, the average size of a jumps in the returns of the typical stock is positive, while it...

We show that the stock market pricing the presidential margin of victory in a nonlinear concave fashion, with a higher price for medium than slight or crushing victories. We conjecture that the margin of victory reflects president confidence and the ability to execute policies. A small margin...

We study how expectations of fund flows causally affect fund performance by exploiting a quasi-natural experiment in the Australian pension system where an unexpected policy change temporarily allowed fund withdrawals from a pre-specified date in the future. Using fractions of young members,...

This paper examines whether deep/machine learning can help find any statistical and/or economic evidence of out-of-sample bond return predictability when real-time, instead of fully-revised, macro variables are taken as predictors. First, when using pure real-time macro information alone, we...

Motivated by existing evidence of a preference among investors for stocks with high maximum daily returns, we document that lottery-like payoffs measured by maximum daily returns are almost entirely idiosyncratic. Firm-level cross-sectional regressions and portfolio-sort analyses prove that...

The paper shows that lottery-like stocks are hedges against unexpected increases in market volatility. The loading on the aggregate volatility risk factor explains low returns to stocks with high maximum returns in the past (Bali, Cakici, and Whitelaw, 2011) and high expected skewness (Boyer,...