Federal Reserve

FEDS Paper: Pricing Tail Risks: Bank Equity Returns During the 2023 Bank Stress

Matthew P. Seay and Shawn M. KimbleDid bank equity prices reflect growing sector imbalances before the 2023 failure of Silicon Valley Bank? We find that banks with higher reliance on uninsured deposits, or with higher marked-to-market leverage, had lower equity returns prior to SVB's collapse. Although markets priced uninsured deposits and high leverage individually, their interaction was not reflected in market prices prior to SVB’s failure.

IFDP Paper: De-Dollarization? Diversification? Exploring Central Bank Gold Purchases and the Dollar’s Role in International Reserves

Colin WeissI examine how governments have managed their holdings of gold and dollar reserves in recent decades, a period when gold’s share of aggregate international reserves rose and the dollar’s share fell. Using data on central banks’ reserve currency composition and official sector purchases of U.S. assets, I argue that gold reserve accumulation is generally not associated with de-dollarization of international reserves at the country level, except in a few prominent cases.

IFDP Paper: Geopolitical Risk and Global Banking

Friederike Niepmann and Leslie Sheng ShenHow do banks respond to geopolitical risk, and is this response distinct from other macroeconomic risks? Using U.S. supervisory data and new geopolitical risk indices, we show that banks reduce cross-border lending to countries with elevated geopolitical risk but continue lending to those markets through foreign affiliates—unlike their response to other macro risks.

FEDS Paper: When Tails Are Heavy: The Benefits of Variance-Targeted, Non-Gaussian, Quasi-Maximum Likelihood Estimation of GARCH Models

Todd PronoIn heavy-tailed cases, variance targeting the Student's-t estimator proposed in Bollerslev (1987) for the linear GARCH model is shown to be robust to density misspecification, just like the popular Quasi-Maximum Likelihood Estimator (QMLE). The resulting Variance-Targeted, Non-Gaussian, Quasi-Maximum Likelihood Estimator (VTNGQMLE) is shown to possess a stable limit, albeit one that is highly non-Gaussian, with an ill-defined variance.

IFDP Paper: Why are Manufacturing Plants Smaller in Developing Countries? Theory and Evidence from India

Anil K. Jain and Siddharth KothariPoorer countries (and poorer states within India) have a larger share of manufacturing employment in small plants. This paper presents empirical evidence and a theoretical model to show that this relationship is driven by greater demand for lower quality goods in poorer regions, which can be produced efficiently in small plants. First, using data for India, we show that richer households buy higher price goods and larger plants produce higher price products.

IFDP Paper: Explaining World Savings

Colin Caines and Amartya LahiriSaving rates are significantly different across countries and remain different for long periods of time. This paper provides an explanation for this phenomenon. We formalize a model of a world economy comprised of open economies inhabited by heterogeneous agents endowed with recursive preferences. Our assumed preferences imply increasing marginal impatience of agents as their consumption rises relative to average consumption of a reference group.

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