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Financial aggregates as conditioning information for Australian output and inflation

Author

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  • Naveen Chandra
  • Ellis W. Tallman

Abstract

This paper examines whether financial aggregates provide information useful for predicting real output growth and inflation, extending the inquiry conducted in Tallman and Chandra (1996). First, we investigate whether perfect knowledge of the future values of financial aggregates helps improve significantly the forecasting accuracy of output and inflation in a simple vector autoregression framework. The results display only one notable improvement to the forecasts with the addition of perfect information on the financial aggregates?future information on credit growth helps improve the prediction accuracy of real output growth. The improvement is most noticeable during the early 1990s recession. Second, we test whether the financial aggregates are important explanators within single-equation models that are more rigorously fitted to the data. We find only one instance in which an aggregate helps explain the variation in either real output growth or inflation?that is, the growth in credit helps explain the growth in real output in a particular specification of the output model. This finding, though, is sensitive to the choice of foreign output proxy. In sum, we conclude that while credit may have some useful information in times of financial restructuring it is unlikely that there is information in financial aggregates that is exploitable systematically for predicting either real output growth or inflation.

Suggested Citation

  • Naveen Chandra & Ellis W. Tallman, 1997. "Financial aggregates as conditioning information for Australian output and inflation," FRB Atlanta Working Paper 97-8, Federal Reserve Bank of Atlanta.
    • Handle: RePEc:fip:fedawp:97-8
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    References listed on IDEAS

    as
    1. Roberds, William & Whiteman, Charles H, 1992. "Monetary Aggregates as Monetary Targets: A Statistical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 24(2), pages 141-161, May.
    2. de Brouwer, Gordon & Ericsson, Neil R, 1998. "Modeling Inflation in Australia," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 433-449, October.
    3. Mankiw, N. Gregory (ed.), 1997. "Monetary Policy," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226503097.
    4. Ellis W. Tallman & Naveen Chandra, 1996. "The Information Content of Financial Aggregates in Australia," RBA Research Discussion Papers rdp9606, Reserve Bank of Australia.
    5. David Gruen & Geoffrey Shuetrim, 1994. "Internationalisation and the Macroeconomy," RBA Annual Conference Volume (Discontinued), in: Philip Lowe & Jacqueline Dwyer (ed.),International Intergration of the Australian Economy, Reserve Bank of Australia.
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    7. 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.
    8. Glenn Stevens & Susan Thorp, 1989. "The Relationship between Financial Indicators and Economic Activity: Some Further Evidence," RBA Research Discussion Papers rdp8903, Reserve Bank of Australia.
    9. David Gruen & John Romalis & Naveen Chandra, 1999. "The Lags of Monetary Policy," The Economic Record, The Economic Society of Australia, vol. 75(3), pages 280-294, September.
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    Cited by:

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    3. Michael Adebayo Adebiyi, 2007. "Does Money Tell Us Anything About Inflation In Nigeria?," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 52(01), pages 117-134.
    4. Simatele, Munacinga C H, 2004. "Financial sector reforms and monetary policy reforms in Zambia," MPRA Paper 21575, University Library of Munich, Germany.
    5. Feridun, M. & Adebiyi, M.A., 2006. "Forecasting Inflation in Developing Economies: The Case of Nigeria, 1986-1998," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 3(1), pages 55-84.
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    7. Juda Agung & Siti Astiyah & Elisabeth Sukowati & Nugroho J. Prastowo & M.Firdauz Muttaqin & Rifqi Ismal, 2003. "Identifikasi Variabel Informasi Dalam Framework Inflation Targeting," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 6(3), pages 59-77, December.
    8. Katherine Avram, 1998. "Implications Of New Payments Technology For Monetary Policy," Economic Papers, The Economic Society of Australia, vol. 17(4), pages 54-68, December.

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    More about this item

    Keywords

    Australia; Credit; Financial markets; Vector autoregression;
    All these keywords.

    JEL classification:

    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

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