We describe a model that takes into account the tail dependence present in a large set of historical risk factor data using the modern concept of copulas. We extend the popular t-copula to obtain a new grouped t-copula which describes more accurately the dependence among risk factors of different classes. We explain how to estimate the parameters of the grouped t-copula and apply the method to ...

A methodology is presented to include financial risk management in the framework of two-stage stochastic programming for planning under uncertainty. A known probabilistic definition of financial risk is adapted to be used in this framework and its relation to downside risk is analyzed. Using these definitions, new two-stage stochastic programming models that manage financial risk are presented....

Farmers are exposed to substantial weather and market related risks. Rational farmers seek to avoid large losses. Future climate change and energy price fluctuations thereforemake adaptating to increased risks particularly important for them.Managing soil natural capital—the capacity of the soil to generate ecosystem services of benefit to farmers—has been proven to generate the double dividend...

Available online 11 July 2013

We find important differences in dollar-based and dollar-neutral G10 carry trades. Dollar-neutral trades have positive average returns, are highly negatively skewed, are correlated with risk factors, and exhibit considerable downside risk. In contrast, a diversified dollar-carry portfolio has a higher average excess return, a higher Sharpe ratio, minimal skewness, is unconditionally uncorrelate...

Stocks with greater downside risk, which is measured by higher correlations conditional on downside moves of the market, have higher returns. After controlling for the market beta, the size effect and the book-to-market effect, the average rate of return on stocks with the greatest downside risk exceeds the average rate of return on stocks with the least downside risk by 6.55% per annum. Downsi...

This paper characterizes optimal currency hedging in several models of downside risk. We consider, in turn, three models of hedging: (i) a firm that chooses its hedging policy in the presence of bankruptcy costs; (ii) an all equity firm that faces a convex tax schedule; and (iii) a firm whose manager is subject to loss aversion. In all these models, and contrary to conventional wisdom, we show ...