We use a long history of global temperature and atmospheric carbon dioxide (CO2) concentration to estimate the conditional joint evolution of temperature and CO2 at a millennial frequency. We document three basic facts. First, the temperature–CO2 dynamics are non-linear, so that large...

We estimate a highly significant price of risk that forecasts global stock and bond returns as a nonlinear function of the CBOE Volatility Index (VIX). We show that countries' exposure to the global price of risk is related to macroeconomic risks as measured by output, credit, and inflation...

We document a highly significant, strongly nonlinear dependence of stock and bond returns on past equity market volatility as measured by the VIX. We propose a new estimator for the shape of the nonlinear forecasting relationship that exploits additional variation in the cross section of...

Using panel quantile regressions for 11 advanced and 10 emerging market economies, weshow that the conditional distribution of GDP growth depends on financial conditions, withgrowth-at-risk (GaR)-defined as growth at the lower 5th percentile-more responsive thanthe median or upper percentiles....

We propose a measure for systemic risk: CoVaR, the value at risk (VaR) of the financial system conditional on institutions being under distress. We define an institution's contribution to systemic risk as the difference between CoVaR conditional on the institution being under distress and the...

We document the cyclical properties of the balance sheets of different types of intermediaries. While the leverage of the bank sector is highly procyclical, the leverage of the nonbank financial sector is acyclical. We propose a theory of a two-agent financial intermediary sector within a...

We propose a measure for systemic risk: CoVaR, the value at risk (VaR) of financial institutions conditional on other institutions being in distress. We define an institution’s (marginal) contribution to systemic risk as the difference between CoVaR and the financial system’s VaR. From our...