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Effects of Changing Monetary and Regulatory Policy on Overnight Money Markets

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  • Elizabeth C. Klee
  • Zeynep Senyuz
  • Emre Yoldas

Abstract

Money markets have been operating under a new monetary policy implementation framework since the Federal Reserve started paying interest on bank reserves in late 2008. The regulatory environment has also evolved substantially over this period. We develop and test hypotheses regarding the effects of changes in the monetary and regulatory policy on dynamics of key overnight funding markets. We find that the federal funds rate continued to provide an anchor, albeit weaker, for unsecured funding rates amid substantial decline in activity and changing composition of trades, while its transmission to the repo market had been hampered. The overnight reverse repurchase (ON RRP) operations that started in late 2013 contributed to stronger co-movement among overnight funding rates and markedly reduced their volatility. The change in the FDIC assessment fees and Basel III leverage ratio regulations have exacerbated financial-reporting-day effects in unsecured markets. In contrast, consistent with lower dealer leverage in the post-crisis period, such effects have weakened in the repo market, especially after the inception of the ON RRP facility. Finally, superabundant bank reserves appear to have significantly diminished the effects of reserve-maintenance on the money market rates.

Suggested Citation

  • 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.).
    • Handle: RePEc:fip:fedgfe:2016-84
    DOI: 10.17016/FEDS.2016.084
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    File URL: http://www.federalreserve.gov/econresdata/feds/2016/files/2016084pap.pdf
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    References listed on IDEAS

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    1. Jane E. Ihrig & Ellen E. Meade & Gretchen C. Weinbach, 2015. "Rewriting Monetary Policy 101: What's the Fed's Preferred Post-Crisis Approach to Raising Interest Rates?," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 177-198, Fall.
    2. 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.).
    3. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    4. 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.
    5. Yoldas, Emre & Senyuz, Zeynep, 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.).
    6. Choi, Dong Boem & Choi, Hyun-Soo, 2016. "The effect of monetary policy on bank wholesale funding," Staff Reports 759, Federal Reserve Bank of New York, revised 01 Apr 2017.
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    Cited by:

    1. W. Arrata & B. Nguyen & I. Rahmouni-Rousseau & M. Vari, 2017. "Eurosystem’s asset purchases and money market rates," Working papers 652, Banque de France.
    2. Christopher S. Sutherland, 2017. "What Explains Month-End Funding Pressure in Canada?," Discussion Papers 17-9, Bank of Canada.
    3. Michael Boutros & Jonathan Witmer, 2017. "Monetary Policy Implementation in a Negative Rate Environment," Staff Working Papers 17-25, Bank of Canada.
    4. Aneta Hryckiewicz & Piotr Mielus & Karolina Skorulska & Malgorzata Snarska, 2018. "Does a bank levy increase frictions on the interbank market?," Working Papers 2018-033, Warsaw School of Economics, Collegium of Economic Analysis.

    More about this item

    Keywords

    Overnight money markets ; Federal funds ; Repo ; Eurodollar ; Commercial paper ; VAR models ; GARCH models;

    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
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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