This paper examines whether rare disaster can predict stock returns. We construct an aggregate rare disaster index by imposing the partial least square (PLS) approach on six news-implied rare disaster proxies of Manela and Moreira (2017). Our disaster measure strongly predicts monthly excess...

We use a new method to estimate ex ante higher order moments of stock market returns from option prices. Even and odd number higher order moments are strongly negatively correlated, creating periods where the return distribution is riskier because it is more left-skewed and fat tailed. The...

This study explores the stylized facts, volatility clustering, other highly irregular behaviour, and risk measures of cryptocurrencies' returns. By analysing bitcoin, ripple, and ethereum daily data we establish evidence of strong dependencies among analysed cryptocurrencies. This paper provides...

We evaluate whether machine learning methods can better model excess portfolio returns compared to the standard regression-based strategies generally used in the finance and econometric literature. We examine 17 benchmark factor model specifications based on Expected Utility Theory and theory...

The World Economic Forum (WEF) recognises in their recent global risk reports the need to better understand the dynamics of the global economic system, and in particular the interconnectedness in the system in order to better appreciate the possibility of both single and multiple risk events...

The World Economic Forum (WEF) has been producing reports since 2006 based on what are perceived by respondents to their survey as the major risks facing the world. This paper extends the work of Evans et al (2017) that analysed the WEF 2014 risks and considers the WEF Global Risks over the...

Equity basket correlation is an important risk factor. It characterizes the strength of linear dependence between assets and thus measures the degree of portfolio diversification. It can be estimated both under the physical measure from return series, and under the risk neutral measure from...

I provide evidence that risks in macroeconomic fundamentals contain valuable information about bond risk premia. I extract factors from a set of quantile-based risk measures estimated for US macroeconomic variables and document that they account for up to 31% of the variation in excess bond...

We build a macroeconomic model for Switzerland, the Euro Area, and the USA that drives the dynamics of several asset classes and the liabilities of a representative Swiss (defined-contribution) pension fund. This encompassing approach allows us to generate correlations between returns on assets...