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The Risk Amplification Macro Model (RAMM) is a new nonlinear two-country dynamic model that captures rare but severe adverse shocks. The RAMM can be used to assess the financial stability implications of both domestic and foreign-originated risk scenarios.

Does consumption smoothing fundamentally decrease during macroeconomic disasters? This paper uses a large historical dataset (1870–2016) for 16 industrial economies to show that during macroeconomic disasters (e.g., wars, pandemics, depressions) aggregate consumption and income are significantly less decoupled than during normal times.

This paper studies, theoretically and empirically, the unintended consequences of mandatory retention rules in securitization. It proposes a novel model showing that while retention strengthens monitoring, it may also encourage banks to shift risk.

This paper measures how both geographical and cultural proximity of bank branches affect household credit choice and pricing. For credit products that require high levels of ex-ante screening, we find that both proximities can complement each other in reducing the cost of providing soft information, thereby increasing credit access.

Financial constraints deter firms from pursuing optimal investment plans. In China, we find privately owned firms face greater financial constraints than state-owned enterprises (SOEs). This can be explained by our finding that lenders appear less concerned about the credit risk of SOEs, which causes distortions in the allocation of credit.

Cryptoassets that reference a national currency (commonly known as stablecoins) aim to peg their value to the reference currency and typically use a reserve of traditional financial assets to maintain the peg. The market value of these fiat-referenced cryptoassets has grown more than thirtyfold between early 2020 and mid-2022. We explore some of their potential benefits and key risks.

We revisit an old question: how do financial constraints affect the transmission of monetary policy to the real economy? To answer this question, we propose a simple empirical strategy that combines firm-level employment and balance sheet data, identified monetary policy shocks and survey data on financing activities.

This paper explains the nature of interest rates in the U.S. federal funds market after the 2007-09 financial crisis. We build a model of the over-the-counter lending market that incorporates new aspects of the financial system: abundance of liquidity, different regulatory standards for banks, and arbitrage opportunities created by limited access to the facility granting interest on excess reserves.

What risks could stablecoins pose to the financial system? We argue that the stabilization mechanisms of stablecoins give rise to the risk of confidence runs, which can propagate to broader cryptoasset markets and the traditional financial sector. We also argue that stablecoins can contribute to financial stability risks by facilitating the buildup of leverage and liquidity mismatch in decentralized finance. Such risks cannot be addressed by ensuring the price stability of stablecoins alone. Finally, we explore the potential implications of stablecoins for the current system of bank-intermediated credit and for monetary policy.

We estimate the share of variable-rate mortgages with fixed payments that reached the so-called trigger rate—the interest rate at which mortgage payments no longer cover the principal. Amid rising interest rates, this share was close to 50% at the end of October 2022 and could potentially reach 65% in 2023.