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Modeling the time-varying volatility of the paper-bill spread

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  • Malik, Farooq
  • Ewing, Bradley T.
  • Kruse, Jamie B.
  • Lynch, Gerald J.

Abstract

The spread between the rates on commercial paper and Treasury bills has received considerable attention in the literature for its role as an indicator of real economic activity. In this paper we empirically examine what happens when the volatility of the spread changes over time. We estimate a nonlinear model that enables us to discern the asymmetric impact of negative and positive shocks to the spread. We find that a positive shock has a larger impact on the volatility of the spread than does a negative shock.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Economics and Business.

Volume (Year): 61 (2009)
Issue (Month): 5 (September)
Pages: 404-414

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Handle: RePEc:eee:jebusi:v:61:y::i:5:p:404-414

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Web page: http://www.elsevier.com/locate/jeconbus

Related research

Keywords: Paper-bill spread Volatility EGARCH;

References

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  1. Ben S. Bernanke & Kenneth N. Kuttner, 2004. "What Explains the Stock Market's Reaction to Federal Reserve Policy?," NBER Working Papers 10402, National Bureau of Economic Research, Inc.
  2. Ben Bernanke, 1990. "On the Predictive Power of Interest Rates and Interest Rate Spreads," NBER Working Papers 3486, National Bureau of Economic Research, Inc.
  3. Angelos Kanas, 2002. "Mean and Variance Causality between Official and Parallel Currency Markets: Evidence from Four Latin American Countries," The Financial Review, Eastern Finance Association, vol. 37(2), pages 137-163, 05.
  4. Benjamin M. Friedman & Kenneth N. Kuttner, 1998. "Indicator Properties Of The Paper-Bill Spread: Lessons From Recent Experience," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 34-44, February.
  5. Robert A. Jones & Joseph M. Ostroy, 1979. "Flexibilty and Uncertainty," UCLA Economics Working Papers 163, UCLA Department of Economics.
  6. Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
  7. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-70, March.
  8. Estrella, Arturo & Mishkin, Frederic S., 1997. "Is there a role for monetary aggregates in the conduct of monetary policy?," Journal of Monetary Economics, Elsevier, vol. 40(2), pages 279-304, October.
  9. Engle, Robert F & Ng, Victor K, 1993. " Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-78, December.
  10. Hess, Gregory D. & Porter, Richard D., 1993. "Comparing interest-rate spreads and money growth as predictors of output growth: Granger causality in the sense Granger intended," Journal of Economics and Business, Elsevier, vol. 45(3-4), pages 247-268.
  11. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
  12. Friedman, Benjamin M & Kuttner, Kenneth N, 1992. "Money, Income, Prices, and Interest Rates," American Economic Review, American Economic Association, vol. 82(3), pages 472-92, June.
  13. Weber, Christian E, 1998. "Consumption Spending and the Paper-Bill Spread: Theory and Evidence," Economic Inquiry, Western Economic Association International, vol. 36(4), pages 575-89, October.
  14. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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