A Leverage-Based Measure of Financial Stability
In: Discussion Papers on Business and Economics, University of Southern Denmark, 3/2021
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In: Discussion Papers on Business and Economics, University of Southern Denmark, 3/2021
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Working paper
In: FRB of New York Staff Report No. 688, Rev. Feb. 2021
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In: The economic history review, Band 76, Heft 3, S. 807-826
ISSN: 1468-0289
AbstractThe reasons for the 1929 Wall Street crash and why it occurred at the particular time that it did are still debated among economic historians. We contribute to this debate by building on a new model, which provides a measure of the financial system's potential for financial crises. The evidence suggests that a tightening of margin requirements in the first nine months of 1929 combined with price declines in September and early October caused enough investors to become constrained that the market was tipped into instability, triggering the sudden crash of October and November.
This paper examines whether large-scale asset purchases (LSAPs) by the Federal Reserve influenced capital flows out of the United States and into emerging market economies (EMEs) and also analyzes the degree of pass-through from long-term U.S. government bond yields to long-term EME bond yields. Using panel data from a broad array of EMEs, our empirical estimates suggest that a 10-basis-point reduction in long-term U.S. Treasury yields results in a 0.4-percentage-point increase in the foreign ownership share of emerging market debt. This, in turn, is estimated to reduce government bond yields in EMEs by approximately 1.7 basis points. Federal Reserve LSAPs, which most previous studies have found reduced ten-year U.S. Treasury yields between 60 and 110 basis points during our sample period, therefore likely contributed to U.S. outflows into EMEs and marginal reductions in longer-term EME government bond yields. These effects are qualitatively similar to conventional U.S. monetary policy easing. To assess the robustness of these estimates, we also employ event study and vector autoregression methodologies, finding broadly similar results using these methods. While these results hold in the aggregate, marginal effects vary notably across emerging market countries.
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