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...

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...

A mark-to-market approach for convertible bonds is proposed where the volatility from the bond optionality is implied from the traded credit spread and bond price. By linking the convertible bond implied volatility to the listed equity option implied volatility surface, the set of available...

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...

This study investigates whether the cross-sectional dispersion of stock returns, which reflects the aggregate level of idiosyncratic risk in the market, represents a priced state variable. We find that stocks with high sensitivities to dispersion offer low expected returns. Furthermore, a...

The ex-ante liquidity embedded in an open Limit Order Book (LOB) and its dynamics have been one of the most important issues in financial research and evolves with the development of financial infrastructure. Using the tick-by-tick data and the reconstructed open LOB data from the Xetra trading...

This paper finds necessary and sufficient conditions of Nth-order stochastic dominance (SD) for risk aversion and develops linear tests for Nth-order SD. We introduce a linear FDSD (fourth-order SD and decreasing absolute risk aversion SD) test for standard risk aversion. A positive research...

Using monthly returns to estimate portfolio alphas and betas is inappropriate for investors with longer horizons. Alphas and betas have flat term structures only under special conditions that do not hold generally. The paper develops a novel conditional moment estimation method that is simple,...

I decompose the variation of credit spreads for corporate bonds into changing expected returns and changing expectation of credit losses. Using a log-linearized pricing identity and a vector autoregression applied to micro-level data from 1973 to 2011, I find that expected returns contribute to...

Short rebate fees are a strong predictor of the cross-section of stock returns, both gross and net of fees. We document a large "shorting premium": the cheap-minus-expensive-to-short (CME) portfolio of stocks has a monthly average gross return of 1.31%, a net-of-fees return of 0.78%, and a 1.44%...