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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., ...
Working Paper
Relative Liquidity and Future Volatility
The main contribution of this paper is to identify the strong predictive power of the relative concentration of depth provision, rather than volume of orders, over volatility. To this end, we propose a new measure, relative liquidity (RLIQ), which extracts information from a limit order book distribution and captures the level of consensus on a security's trading price. Higher liquidity provision farther away from the best quotes, relative to the rest of the book, is associated with a disagreement on the current price and followed by high volatility. The relationship is robust to the ...
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 ...
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 ...
Working Paper
Effects of Information Overload on Financial Markets: How Much Is Too Much?
Motivated by cognitive theories verifying that investors have limited capacity to process information, we study the effects of information overload on stock market dynamics. We construct an information overload index using textual analysis tools on daily data from The New York Times since 1885. We structure our empirical analysis around a discrete-time learning model, which links information overload with asset prices and trading volume when investors are attention constrained. We find that our index is associated with lower trading volume and predicts higher market returns for up to 18 ...
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 ...
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 ...