The price of sovereign bonds is currently elevated and equity valuations are far above historical averages, as unprecedented monetary expansion has caused inflation in asset prices. Long-term expected real return on a portfolio of bonds and equities is lower than in several decades, and the...

This paper considers the problem of measuring the exposure to dependence risk carried by a portfolio with an arbitrary number of two-asset derivative contracts. We develop a worst-case risk measure computed over a set of dependence scenarios within a divergence restricted region. The set of...

A Parisian option is a variant of a barrier option such that its payment is activated or deactivated only if the underlying asset remains above or below a barrier over a certain amount of time. We show that its complex payoff feature can cause dynamic hedging to fail. As an alternative, we...

We investigate the relationship between boardroom gender diversity and firm risk. To identify a causal effect of gender on risk, we use a dynamic model that controls for reverse causality and for gender and risk being influenced by unobservable firm factors. We find no evidence that female...

Growth Optimal Portfolio (GOP) theory determines the path of bet sizes that maximize long-term wealth. This multi-horizon goal makes it more appealing among practitioners than myopic approaches, like Markowitz's mean-variance or risk parity. The GOP literature typically considers risk-neutral...

We show that the probability of risk parity beating any other portfolio is more than 50 percent. We also prove that if portfolio performance is measured by Sharpe ratio, risk parity is the only maximin portfolio when (1) all assets' future Sharpe ratios are greater than an unknown constant and...

We propose a new approach to forecasting stock returns in the presence of structural breaks that simultaneously affect the parameters of multiple portfolios. Exploiting information in the cross-section increases our ability to identify breaks in return prediction models and enables us to detect...

In recent years, one area of growing concern in corporate governance is the accounting and transfer of risk using special purpose entities (or trusts). Such entities are used widely in issuing asset-backed securities. This paper provides an overview of the asset-backed securities market, and...

The most recent global credit mishap of 2008, the worst financial catastrophe of the 21st century, succeeded the Great Depression of the 1930s as the worst event of all times, and used in stress testing under severely adverse scenario analysis. Rather promoting financial stability, the Basel...

We give an explicit algorithm and source code for constructing risk models based on machine learning techniques. The resultant covariance matrices are not factor models. Based on empirical backtests, we compare the performance of these machine learning risk models to other constructions,...