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The Information Content of Financial Aggregates in Australia


  • Ellis W. Tallman

    (Reserve Bank of Australia)

  • Naveen Chandra

    (Reserve Bank of Australia)


This paper examines the information provided by financial aggregates as predictors of real output and inflation. We employ vector autoregression (VAR) techniques to summarise the information in the data, providing evidence on the incremental forecasting value of financial aggregates in a range of forecasting systems for these variables. The in-sample results suggest significant predictive power in only a small number of cases. We then test the forecast performance of the VAR systems for two years out-of-sample in order to mimic more closely the real-time forecasting problem faced by policymakers. Overall, both in-sample and out-of-sample results suggest no robust finding of exploitable information for forecasting purposes in any of the financial aggregates under examination. There is some evidence that the aggregates yield improved forecasts late in the sample period, but there is insufficient subsequent data to draw robust conclusions from this.

Suggested Citation

  • Ellis W. Tallman & Naveen Chandra, 1996. "The Information Content of Financial Aggregates in Australia," RBA Research Discussion Papers rdp9606, Reserve Bank of Australia.
  • Handle: RePEc:rba:rbardp:rdp9606

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    References listed on IDEAS

    1. Runkle, David E, 1987. "Vector Autoregressions and Reality," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 437-442, October.
    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. Orden, David & Fisher, Lance A, 1993. "Financial Deregulation and the Dynamics of Money, Prices, and Output in New Zealand and Australia," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 25(2), pages 273-292, May.
    4. Benjamin M. Friedman, 1996. "The Rise and Fall of Money Growth Targets as Guidelines for U.S. Monetary Policy," NBER Working Papers 5465, National Bureau of Economic Research, Inc.
    5. Stephen G. Cecchetti, 1995. "Inflation Indicators and Inflation Policy," NBER Chapters,in: NBER Macroeconomics Annual 1995, Volume 10, pages 189-236 National Bureau of Economic Research, Inc.
    6. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
    7. Michael Coelli & Jerome Fahrer, 1992. "Indicators of Inflationary Pressure," RBA Research Discussion Papers rdp9207, Reserve Bank of Australia.
    8. Mark A. Thoma & Jo Anna Gray, 1994. "On leading indicators: getting it straight," Proceedings, Federal Reserve Bank of Dallas, issue Apr.
    9. Trevor, R G & Thorp, S J, 1988. "VAR Forecasting Models of the Australian Economy: A Preliminary Analysis," Australian Economic Papers, Wiley Blackwell, vol. 27(0), pages 108-120, Supplemen.
    10. Stock, James H. & Watson, Mark W., 1989. "Interpreting the evidence on money-income causality," Journal of Econometrics, Elsevier, vol. 40(1), pages 161-181, January.
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    Cited by:

    1. Ellis W. Tallman & Naveen Chandra, 1997. "Financial aggregates as conditioning information for Australian output and inflation," FRB Atlanta Working Paper 97-8, Federal Reserve Bank of Atlanta.
    2. Simatele, Munacinga C H, 2004. "Financial sector reforms and monetary policy reforms in Zambia," MPRA Paper 21575, University Library of Munich, Germany.
    3. 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.
    4. 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.

    More about this item

    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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