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Financial Stress and Equilibrium Dynamics in Money Markets

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Abstract

Interest rate spreads are widely-used indicators of funding pressures and market functioning in money markets. Using weekly data from 2002 to 2015, we analyze money market dynamics in a long-run equilibrium framework where commonly-monitored spreads serve as error correction terms. We find strong evidence for nonlinearities with respect to levels of the spreads. We provide point and interval estimates for spread thresholds that quantify funding pressure points from a long-run perspective. Our results indicate significant asymmetry in the adjustment toward long-run equilibrium. We show that economically and statistically significant adjustments occur only following large shocks to risk premia. Additionally, we quantify shifts in interest rate volatilities in high spread regimes characterized by elevated funding stress as well as declining correlations between risky funding rates and relatively safe base rates in such environments.

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  • Zeynep Senyuz & Emre Yoldas, 2015. "Financial Stress and Equilibrium Dynamics in Money Markets," Finance and Economics Discussion Series 2015-91, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgfe:2015-91
    DOI: 10.17016/FEDS.2015.091
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    1. Erik Theissen, 2012. "Price discovery in spot and futures markets: a reconsideration," The European Journal of Finance, Taylor & Francis Journals, vol. 18(10), pages 969-987, November.
    2. Carlson Mark A & King Thomas & Lewis Kurt, 2011. "Distress in the Financial Sector and Economic Activity," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-31, June.
    3. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    4. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    5. Gara M. Afonso & Alex Entz & Eric LeSueur, 2013. "Who’s Borrowing in the Fed Funds Market?," Liberty Street Economics 20131209, Federal Reserve Bank of New York.
    6. Martin Martens & Paul Kofman & Ton C. F. Vorst, 1998. "A threshold error-correction model for intraday futures and index returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(3), pages 245-263.
    7. Vayanos, Dimitri, 2004. "Flight to quality, flight to liquidity, and the pricing of risk," LSE Research Online Documents on Economics 456, London School of Economics and Political Science, LSE Library.
    8. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    9. Bech, Morten L. & Klee, Elizabeth, 2011. "The mechanics of a graceful exit: Interest on reserves and segmentation in the federal funds market," Journal of Monetary Economics, Elsevier, vol. 58(5), pages 415-431.
    10. Gonzalo, Jesus & Wolf, Michael, 2005. "Subsampling inference in threshold autoregressive models," Journal of Econometrics, Elsevier, vol. 127(2), pages 201-224, August.
    11. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    12. Carpenter, Seth & Demiralp, Selva & Schlusche, Bernd & Senyuz, Zeynep, 2014. "Measuring stress in money markets: A dynamic factor approach," Economics Letters, Elsevier, vol. 125(1), pages 101-106.
    13. Markus K. Brunnermeier & Yuliy Sannikov, 2014. "A Macroeconomic Model with a Financial Sector," American Economic Review, American Economic Association, vol. 104(2), pages 379-421, February.
    14. Victoria Ivashina & David S. Scharfstein & Jeremy C. Stein, 2015. "Dollar Funding and the Lending Behavior of Global Banks," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(3), pages 1241-1281.
    15. Massimo Guidolin & Allan Timmermann, 2006. "An econometric model of nonlinear dynamics in the joint distribution of stock and bond returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 1-22, January.
    16. Gara Afonso & Anna Kovner & Antoinette Schoar, 2011. "Stressed, Not Frozen: The Federal Funds Market in the Financial Crisis," Journal of Finance, American Finance Association, vol. 66(4), pages 1109-1139, August.
    17. Morten L. Bech & Elizabeth C. Klee & Viktors Stebunovs, 2012. "Arbitrage, liquidity and exit: the repo and federal funds markets before, during, and emerging from the financial crisis," Finance and Economics Discussion Series 2012-21, Board of Governors of the Federal Reserve System (U.S.).
    18. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    19. Chadha,Jagjit S. & Durré,Alain C. J. & Joyce,Michael A. S. & Sarno,Lucio (ed.), 2016. "Developments in Macro-Finance Yield Curve Modelling," Cambridge Books, Cambridge University Press, number 9781316623169, October.
    20. Dwyer, Gerald P, Jr & Locke, Peter R & Yu, Wei, 1996. "Index Arbitrage and Nonlinear Dynamics between the S&P 500 Futures and Cash," The Review of Financial Studies, Society for Financial Studies, vol. 9(1), pages 301-332.
    21. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
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    Cited by:

    1. Yao, Xiaoyang & Le, Wei & Sun, Xiaolei & Li, Jianping, 2020. "Financial stress dynamics in China: An interconnectedness perspective," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 217-238.
    2. Elizabeth C. Klee & Zeynep Senyuz & Emre Yoldas, 2016. "Effects of Changing Monetary and Regulatory Policy on Overnight Money Markets," Finance and Economics Discussion Series 2016-084, Board of Governors of the Federal Reserve System (U.S.).
    3. Shanshan Jiang & Hong Fan, 2019. "Systemic Risk in the Interbank Market with Overlapping Portfolios," Complexity, Hindawi, vol. 2019, pages 1-12, April.
    4. Aneta Hryckiewicz & Piotr Mielus & Karolina Skorulska & Malgorzata Snarska, 2018. "Does a bank levy increase frictions on the interbank market?," KAE Working Papers 2018-033, Warsaw School of Economics, Collegium of Economic Analysis.

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    More about this item

    Keywords

    Money markets; Cointegration; Threshold models; GARCH; Constant conditional correlation model.;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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