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Working Paper
Climate-related Financial Stability Risks for the United States: Methods and Applications
This report has two objectives: 1. Review the available literature on Climate-Related Financial Stability Risks (CRFSRs) as it pertains to the United States. Specifically, the literature review considers several modeling approaches and aims to 1.1 Identify financial market vulnerabilities (e.g., bank leverage), 1.2 Provide an assessment of those vulnerabilities (high/medium/low) as identified by the current literature, and 1.3 Evaluate the uncertainty surrounding these assessments based on interpretation of the findings and coverage of existing literature (high/low). 2. Identify methodologies ...
Working Paper
Learning from History : Volatility and Financial Crises
We study the effects of volatility on financial crises by constructing a cross-country database spanning over 200 years. Volatility is not a significant predictor of crises whereas unusually high and low volatilities are. Low volatility is followed by credit build-ups, indicating that agents take more risk in periods of low financial risk consistent with Minsky hypothesis, and increasing the likelihood of a banking crisis. The impact is stronger when financial markets are more prominent and less regulated. Finally, both high and low volatilities make stock market crises more likely, while ...
Working Paper
Model Risk of Risk Models
This paper evaluates the model risk of models used for forecasting systemic and market risk. Model risk, which is the potential for different models to provide inconsistent outcomes, is shown to be increasing with and caused by market uncertainty. During calm periods, the underlying risk forecast models produce similar risk readings, hence, model risk is typically negligible. However, the disagreement between the various candidate models increases significantly during market distress, with a no obvious way to identify which method is the best. Finally, we discuss the main problems in risk ...
Working Paper
The impact of risk cycles on business cycles: a historical view
We investigate the effects of financial risk cycles on business cycles, using a panel spanning 73 countries since 1900. Agents use a Bayesian learning model to form their beliefs on risk. We construct a proxy of these beliefs and show that perceived low risk encourages risk-taking, augmenting growth at the cost of accumulating financial vulnerabilities, and therefore, a reversal in growth follows. The reversal is particularly pronounced when the low-risk environment persists and credit growth is excessive. Global-risk cycles have a stronger effect on growth than local-risk cycles via their ...
Discussion Paper
How global risk perceptions affect economic growth
The global crisis in 2008 reminded us of the importance of the financial sector for the macroeconomy, a lesson many had forgotten in the decades after the previous global crisis, the Great Depression. Financial risk matters. It is necessary for investment and growth, while also driving uncertainty, inefficiency, recessions, and crises.
Working Paper
The Role of U.S. Monetary Policy in Global Banking Crises
We examine the role of U.S. monetary policy in global financial stability by using a cross-country database spanning the period from 1870-2010 across 69 countries. U.S. monetary policy tightening increases the probability of banking crises for those countries with direct linkages to the U.S., either in the form of trade links or significant share of USD-denominated liabilities. Conversely, if a country is integrated globally, rather than having a direct exposure, the effect is ambiguous. One possible channel we identify is capital flows: If the correction in capital flows is disorderly (e.g., ...
Journal Article
Climate-Related Financial Stability Risks for the United States: Methods and Applications
The authors review ten broad classes of models that have been used to study potential financial stability risks arising from climate change in the United States. Their lens is primarily methodological: They describe each modeling technique, its advantages and disadvantages, and its key results. They find that statistical methods, based on reduced-form econometrics, are the most used tool, followed by general equilibrium models. While no approach in isolation addresses the complexity of climate-related financial stability risks, they discuss how existing techniques can be combined to inform ...