This paper examines continuous-time models for the price and volatility processes of individual stocks and the S\amp;P 100 index via Markov Chain Monte Carlo estimation. We find that the stochastic processes governing individual stocks are rather heterogeneous. A key result of our investigation...

Directed links in cash flow networks affect the cross-section of price exposures and market prices of risk in equilibrium. In an asset pricing model featuring mutually exciting jumps, we measure directedness through an asset's shock propagation capacity (spc). In the model, we prove: (i) Cash...

Managed portfolios that exploit positive first-order autocorrelation in monthly excess returns of equity factor portfolios produce large alphas and gains in Sharpe ratios. We document this finding for factor portfolios formed on the broad market, size, value, momentum, investment, profitability,...

We introduce Implied Volatility Duration (IVD) as a new measure for the timing of uncertainty resolution, with a high IVD corresponding to late resolution. Portfolio sorts on a large cross-section of stocks indicate that investors demand on average more than five percent return per year as a...

We assess financial theory-based and machine learning-implied measurements of stock risk premia by comparing the quality of their return forecasts. In the low signal-to-noise environment of a one-month horizon, it is preferable to rely on a theory-based approach instead of engaging in...

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...