-
Combining density forecasts using focused scoring rules (replication data)
We investigate the added value of combining density forecasts focused on a specific region of support. We develop forecast combination schemes that assign weights to individual... -
Dynamic spatial autoregressive models with autoregressive and heteroskedastic...
We propose a new class of models specifically tailored for spatiotemporal data analysis. To this end, we generalize the spatial autoregressive model with autoregressive and... -
Out-of-Sample Return Predictability: A Quantile Combination Approach (replica...
This paper develops a novel forecasting method that minimizes the effects of weak predictors and estimation errors on the accuracy of equity premium forecasts. The proposed... -
State Prices of Conditional Quantiles: New Evidence on Time Variation in the ...
We develop a set of statistics to represent the option-implied stochastic discount factor and we apply them to S&P 500 returns between 1990 and 2012. Our statistics, which... -
An Empirical Test of Pricing Kernel Monotonicity (replication data)
A large class of asset pricing models predicts that securities which have high payoffs when market returns are low tend to be more valuable than those with high payoffs when... -
Panel Data Models with Grouped Factor Structure Under Unknown Group Membershi...
This paper studies panel data models with unobserved group factor structures. The group membership of each unit and the number of groups are left unspecified. We estimate the...
