This paper uses a comprehensive set of predictor variables from the five largest Eurozone countries to compare the performance of simple univariate and machine learning-based multivariate models in forecasting stock market crashes. In terms of statistical predictive performance, a support vector machine-based crash prediction model outperforms a random classifier and is superior to the average univariate benchmark as well as a multivariate logistic regression model. Incorporating nonlinear and interactive effects is both imperative and foundation for the outperformance of support vector machines. Their ability to forecast stock market crashes out-of-sample translates into substantial value-added to active investors. From a policy perspective, the use of machine learning-based crash prediction models can help activate macroprudential tools in time.

We show that business cycle dynamics and, in particular, the cyclicality of a firm’s growth opportunities, determine the value of corporate cash holdings. An additional dollar of cash is more valuable for firms with less procyclical expansion opportunities. This valuation effect is strongest for low leverage and high R&D firms, but is independent of their financial status. Corporate cash holdings provide the flexibility to invest for firms that have expansion opportunities during crisis times with business cycle downturns and supply-side financial constraints. Cash holdings in firms with less procyclical growth opportunities are associated with higher investment and better operating performance.

We examine the effect of economic policy uncertainty on the relation between investment and the cost of capital. Using the news-based index developed by Baker et al. (2016) for twenty-one countries, we find that the strength of the negative relation between investment and the cost of capital decreases during times of high economic policy uncertainty. An increase in policy uncertainty reduces the sensitivity of investment to the cost of capital most for firms operating in industries that depend strongly on government subsidies and government consumption as well as in countries with high state ownership. Consistent with the price informativeness channel, we find that an increase in policy uncertainty reduces the investment-cost of capital sensitivity for firms from more opaque countries, firms with low analyst coverage, firms with no credit rating, and small firms. We conclude that economic policy uncertainty distorts the fundamental relation between investment and the cost of capital.