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Modeling and Forecasting Large Realized Covariance Matrices and Portfolio Cho...
We consider modeling and forecasting large realized covariance matrices by penalized vector autoregressive models. We consider Lasso-type estimators to reduce the dimensionality... -
Optimal Portfolio Choice Under Decision‐Based Model Combinations (replication...
We propose a density combination approach featuring combination weights that depend on the past forecast performance of the individual models entering the combination through a... -
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... -
ESTIMATION OF CENSORED PANEL-DATA MODELS WITH SLOPE HETEROGENEITY (replicatio...
This paper considers estimation of censored panel-data models with individual-specific slope heterogeneity. The slope heterogeneity may be random (random slopes model) or... -
On portfolio optimization: How and when do we benefit from high-frequency dat...
We examine how the use of high-frequency data impacts the portfolio optimization decision. Prior research has documented that an estimate of realized volatility is more precise... -
Are risk-averse agents more optimistic? A Bayesian estimation approach (repli...
Our aim is to analyze the link between optimism and risk aversion in a subjective expected utility setting and to estimate the average level of optimism when weighted by risk... -
Precautionary motives and portfolio decisions (replication data)
This paper studies the empirical relevance of precautionary and other motives for household portfolio behaviour using recent panel data from the Netherlands. Dutch households'...
