This paper investigates whether multivariate crash risk (MCRASH), defined as exposure to extreme realizations of multiple systematic factors, is priced in the cross-section of expected stock returns. We derive an extended linear model with a positive premium for MCRASH and we empirically confirm...

We develop a new variational Bayes estimation method for large-dimensional sparse vector autoregressive models with exogenous predictors. Unlike existing Markov chain Monte Carlo (MCMC) and variational Bayes (VB) algorithms, our approach is not based on a structural form representation of the...

Brunnermeier et al. (2017) propose the introduction of sovereign bond-backed securities (SBBS) in the euro area. It and other papers address how the securitisation would insulate senior security holders from actual default-related losses. This article generalises the assessment by using the...

We introduce a flexible utility-based empirical approach to directly determine asset allocation decisions between risky and risk-free assets. This is in contrast to the commonly used two-step approach where least squares optimal statistical equity premium predictions are first constructed to...

We now know that research findings favorable to the sponsor of the research should be discounted on the grounds of conflict of interest (e.g., tobacco companies or pharma companies). Incentives distort research findings. Is the same true in the field of finance? I argue that economic incentives...

As defined contribution (DC) plans have grown and have increasingly become the primary retirement savings vehicle, asset allocators are increasingly interested in incorporating illiquid private assets in these retirement funds to offer participants access to investment portfolios and...

This paper evaluates the predictive performance of machine learning techniques in estimating time-varying betas of US stocks. Compared to established estimators, tree-based models and neural networks outperform from both a statistical and an economic perspective. Random forests perform the best...

Incentives distort research findings. We now know that research findings favorable to the sponsor of the research should be discounted on the grounds of conflict of interest (e.g., tobacco companies or pharma companies). Is the same true in the field of finance? I argue that economic incentives...

The COVID-19 pandemic has caused severe disruption to economic activity worldwide. This note analyzes what happened to the aggregate U.S. stock market during this period, including implications for both short and long-horizon investors. We identify bull and bear market regimes including their...

The objective of this article is to investigate the volatility asymmetry, volatility-volume relationship by considering trading volume as a mixing variable, and the risk-return relationship in the Indian stock market. Daily data from January 2, 1997 to May 30, 2013 for S&P CNX Nifty are used for...