IDEAS home Printed from https://ideas.repec.org/a/eee/jebusi/v61yi5p404-414.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • Malik, Farooq & Ewing, Bradley T. & Kruse, Jamie B. & Lynch, Gerald J., 2009. "Modeling the time-varying volatility of the paper-bill spread," Journal of Economics and Business, Elsevier, vol. 61(5), pages 404-414, September.
  • Handle: RePEc:eee:jebusi:v:61:y::i:5:p:404-414
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148-6195(09)00014-9
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ben S. Bernanke & Kenneth N. Kuttner, 2005. "What Explains the Stock Market's Reaction to Federal Reserve Policy?," Journal of Finance, American Finance Association, vol. 60(3), pages 1221-1257, June.
    2. Ben S. Bernanke, 1990. "On the predictive power of interest rates and interest rate spreads," New England Economic Review, Federal Reserve Bank of Boston, issue Nov, pages 51-68.
    3. Bradley T Ewing & Gerald J Lynch & James E Payne, 2003. "The paper‐bill spread and real output: what matters more, a change in the paper rate or a change in the bill rate?," Review of Financial Economics, John Wiley & Sons, vol. 12(3), pages 233-246.
    4. Bradley T. Ewing & James E. Payne & Shawn M. Forbes, 1998. "Co-Movements Of The Prime Rate, Cd Rate, And The S&P Financial Stock Index," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 21(4), pages 469-482, December.
    5. Ali F. Darrat & Shafiqur Rahman & Maosen Zhong, 2002. "On the Role of Futures Trading in Spot Market Fluctuations: Perpetrator of Volatility or Victim of Regret?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 25(3), pages 431-444, September.
    6. 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.
    7. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    8. Bradley T. Ewing & Jamie Brown Kruse, 2007. "The Prime Rate-Deposit Rate Spread and Macroeconomic Shocks," World Scientific Book Chapters, in: Cheng-Few Lee (ed.), Advances In Quantitative Analysis Of Finance And Accounting, chapter 9, pages 181-197, World Scientific Publishing Co. Pte. Ltd..
    9. Chuderewicz, Russell P., 2002. "Using interest rate uncertainty to predict the paper-bill spread and real output," Journal of Economics and Business, Elsevier, vol. 54(3), pages 293-312.
    10. 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.
    11. Angelos Kanas & Georgios P. Kouretas, 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, May.
    12. 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 1749-1778, December.
    13. repec:bla:jfinan:v:44:y:1989:i:1:p:1-17 is not listed on IDEAS
    14. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    15. 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.
    16. Friedman, Benjamin M & Kuttner, Kenneth N, 1992. "Money, Income, Prices, and Interest Rates," American Economic Review, American Economic Association, vol. 82(3), pages 472-492, June.
    17. 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.
    18. 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.
    19. Kuttner, Kenneth N. & Friedman, Benjamin Morton, 1998. "Indicator Properties of the Paper—Bill Spread: Lessons from Recent Experience," Scholarly Articles 4554251, Harvard University Department of Economics.
    20. Robert A. Jones & Joseph M. Ostroy, 1984. "Flexibility and Uncertainty," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(1), pages 13-32.
    21. Weber, Christian E, 1998. "Consumption Spending and the Paper-Bill Spread: Theory and Evidence," Economic Inquiry, Western Economic Association International, vol. 36(4), pages 575-589, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:ehl:lserod:56407 is not listed on IDEAS
    2. Gerba, Eddie, 2015. "Have the US macro-financial linkages changed? The balance sheet dimension," LSE Research Online Documents on Economics 59886, London School of Economics and Political Science, LSE Library.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Naifar, Nader, 2011. "What explains default risk premium during the financial crisis? Evidence from Japan," Journal of Economics and Business, Elsevier, vol. 63(5), pages 412-430, September.
    2. Evangelos Drimbetas & Nikolaos Sariannidis & Nicos Porfiris, 2007. "The effect of derivatives trading on volatility of the underlying asset: evidence from the Greek stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 17(2), pages 139-148.
    3. Alagidede, Paul & Panagiotidis, Theodore, 2009. "Modelling stock returns in Africa's emerging equity markets," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 1-11, March.
    4. Issler, João Victor, 1999. "Estimating and forecasting the volatility of Brazilian finance series using arch models (Preliminary Version)," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 347, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    5. Kanungo, Rama Prasad, 2021. "Uncertainty of M&As under asymmetric estimation," Journal of Business Research, Elsevier, vol. 122(C), pages 774-793.
    6. Turan Bali & Panayiotis Theodossiou, 2007. "A conditional-SGT-VaR approach with alternative GARCH models," Annals of Operations Research, Springer, vol. 151(1), pages 241-267, April.
    7. Steeley, James M., 2006. "Volatility transmission between stock and bond markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(1), pages 71-86, February.
    8. Meriem Rjiba & Michail Tsagris & Hedi Mhalla, 2015. "Bootstrap for Value at Risk Prediction," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 4(6), pages 362-371.
    9. Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, Department of Economics and Business Economics, Aarhus University.
    10. Bali, Turan G. & Weinbaum, David, 2007. "A conditional extreme value volatility estimator based on high-frequency returns," Journal of Economic Dynamics and Control, Elsevier, vol. 31(2), pages 361-397, February.
    11. Wu, Guojun & Xiao, Zhijie, 2002. "A generalized partially linear model of asymmetric volatility," Journal of Empirical Finance, Elsevier, vol. 9(3), pages 287-319, August.
    12. Kaiser, Thomas, 1996. "One-factor-Garch models for German stocks: Estimation and forecasting," Tübinger Diskussionsbeiträge 87, University of Tübingen, School of Business and Economics.
    13. LUBRANO, Michel, 1998. "Smooth transition GARCH models: a Bayesian perspective," LIDAM Discussion Papers CORE 1998066, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    14. Xekalaki, Evdokia & Degiannakis, Stavros, 2005. "Evaluating volatility forecasts in option pricing in the context of a simulated options market," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 611-629, April.
    15. Ewing, Bradley T. & Lynch, Gerald J. & Payne, James E., 2003. "The paper-bill spread and real output: what matters more, a change in the paper rate or a change in the bill rate?," Review of Financial Economics, Elsevier, vol. 12(3), pages 233-246.
    16. Per B. Solibakke, 2022. "Step‐ahead spot price densities using daily synchronously reported prices and wind forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 17-42, January.
    17. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654, September.
    18. Sei‐Wan Kim & Bong‐Soo Lee, 2008. "Stock Returns, Asymmetric Volatility, Risk Aversion, And Business Cycle: Some New Evidence," Economic Inquiry, Western Economic Association International, vol. 46(2), pages 131-148, April.
    19. Thomas C. Chiang & Cathy W.S. Chen & Mike K.P. So, 2007. "Asymmetric Return and Volatility Responses to Composite News from Stock Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 11(3-4), pages 179-210, September.
    20. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.

    More about this item

    Keywords

    Paper-bill spread Volatility EGARCH;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jebusi:v:61:y::i:5:p:404-414. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-economics-and-business .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.