This paper develops a simple New Keynesian model incorporating a small time-varying probability that the economy is struck by a disaster in the future. The model's main prediction is that a small increase in the disaster probability causes a recession in the economy, speci cally due to limited...

We propose a methodology for forecasting the systemic impact of financial institutions in interconnected systems. Utilizing a five-year sample including the 2008/9 financial crisis, we demonstrate how the approach can be used for timely systemic risk monitoring of large European banks and...

Many business people such as farmers and financial investors are affected by indirect losses caused by scarce or abundant rainfall. Because of the high potential of insuring rainfall risk, the Chicago Mercantile Exchange (CME) began trading rainfall derivatives in 2011. Compared to temperature...

Probability of default prediction is one of the important tasks of rating agencies as well as of banks and other financial companies to measure the default risk of their counterparties. Knowing predictors that significantly contribute to default prediction provides a better insight into...

This paper addresses the open debate about the usefulness of high-frequency (HF) data in large-scale portfolio allocation. We consider the problem of constructing global minimum variance portfolios based on the constituents of the S&P 500 over a four-year period covering the 2008 financial...

We show that performance-sensitive debt (PSD) is used to reduce hold-up problems in repeated lending relationships. Using a large sample of bank loans, we find a more frequent use of PSD if hold-up is more likely, e.g. if a longterm lending relationship exists and the borrower has fewer outside...

We show in a dynamic stochastic general equilibrium framework that the introduction of a common currency by a group of countries with only partially integrated goods markets, incomplete financial markets and no labor migration across member states, significantly increases volatility of...

We analyze the theoretical moments of a nonlinear approximation to a model of business cycles and asset pricing with stochastic volatility and recursive preferences. We find that heteroskedastic volatility operationalizes a time-varying risk adjustment channel that induces variability in...

An efficient estimator is constructed for the quadratic covariation or integrated covolatility matrix of a multivariate continuous martingale based on noisy and non-synchronous observations under high-frequency asymptotics. Our approach relies on an asymptotically equivalent continuous-time...

We investigate violations of consequentialism in the form of the stochastic dominance property. The property is shared by many theories of choice and implies that the decision-maker prefers receiving the best outcome for sure over all lotteries that involve multiple outcomes. We run experiments...