The study of natural catastrophe models plays an important role in the prevention and mitigation of disasters. After the occurrence of a natural disaster, the reconstruction can be financed with catastrophe bonds (CAT bonds) or reinsurance. This paper examines the calibration of a real...

We analyze how the materialization of climate risk in the institutional investors' portfolios spurs a propagation effect on the information content of stock prices. Institutional investors with a relatively high portfolio exposure to disasters divest from disaster-hit stocks, decrease the...

This paper investigates whether analysts' optimism affects the stock crash risk. Analysts' optimism can increase stock crash risk either by inducing overvaluation or by providing managers an opportunity to withhold bad news. Using analysts' forecast error as a proxy for analysts' optimism, we...

Two ex-ante variables are introduced to characterize the analysts' biased behavior, namely the analysts' disagreement and self-selection in analysts' earnings forecasts. The study investigates the impact of the analysts' disagreement and self-selection on the stock returns. A theoretical...

We use a dataset of sell-side analysts' scenario-based equity valuation estimates to examine whether analysts can assess the state-contingent risk surrounding a firm's fundamental value. We find that the spread in analysts' scenario-based valuations captures the riskiness of operations and...

We examine how analysts' changing incentives driven by changes in market uncertainty affect analyst output, under a simple utility-maximizing framework. Analysts issue more optimistically biased forecasts and buy recommendations under high market uncertainty (VIX). The lower reputational costs...

This paper examines if overreaction of oil price forecasters is affected by uncertainty. Furthermore, it takes into account joint effects of uncertainty and oil price returns on forecast changes. The panel smooth transition regression model from Gonz alez et al. (2005) is applied with univariate...

We use a unique and comprehensive data set on open-end real estate funds in Germany to study a liquidity crisis that hit this industry between 2005 and 2006. Since this industry is comparably unregulated our data set permits us to contrast competing explanations of liquidity crisis. We find that...

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...