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Forecasting the recent behavior of US business fixed investment spending: an analysis of competing models This is a significantly revised version of our previous paper, 'Forecasting US Business Fixed Investment Spending'. The results reported in this paper were generated using GAUSS 6.0. The GAUSS programs are available at http:||pages.slu.edu|faculty|rapachde|Research.htm

Author

Listed:
  • Mark E. Wohar

    (Department of Economics, University of Nebraska at Omaha, Omaha, Nebraska, USA)

  • David E. Rapach

    (Department of Economics, Saint Louis University, Saint Louis, Missouri, USA)

Abstract

We evaluate forecasting models of US business fixed investment spending growth over the recent 1995:1-2004:2 out-of-sample period. The forecasting models are based on the conventional Accelerator, Neoclassical, Average Q, and Cash-Flow models of investment spending, as well as real stock prices and excess stock return predictors. The real stock price model typically generates the most accurate forecasts, and forecast-encompassing tests indicate that this model contains most of the information useful for forecasting investment spending growth relative to the other models at longer horizons. In a robustness check, we also evaluate the forecasting performance of the models over two alternative out-of-sample periods: 1975:1-1984:4 and 1985:1-1994:4. A number of different models produce the most accurate forecasts over these alternative out-of-sample periods, indicating that while the real stock price model appears particularly useful for forecasting the recent behavior of investment spending growth, it may not continue to perform well in future periods. Copyright © 2007 John Wiley & Sons, Ltd.

Suggested Citation

  • Mark E. Wohar & David E. Rapach, 2007. "Forecasting the recent behavior of US business fixed investment spending: an analysis of competing models This is a significantly revised version of our previous paper, 'Forecasting US Business Fixed ," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(1), pages 33-51.
  • Handle: RePEc:jof:jforec:v:26:y:2007:i:1:p:33-51
    DOI: 10.1002/for.1010
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    References listed on IDEAS

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    1. Jushan Bai, 1997. "Estimation Of A Change Point In Multiple Regression Models," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 551-563, November.
    2. Chirinko, Robert S, 1993. "Business Fixed Investment Spending: Modeling Strategies, Empirical Results, and Policy Implications," Journal of Economic Literature, American Economic Association, vol. 31(4), pages 1875-1911, December.
    3. Lettau, Martin & Ludvigson, Sydney, 2002. "Time-varying risk premia and the cost of capital: An alternative implication of the Q theory of investment," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 31-66, January.
    4. Tevlin, Stacey & Whelan, Karl, 2003. " Explaining the Investment Boom of the 1990s," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(1), pages 1-22, February.
    5. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    6. Robert S. Chirinko, 1992. "Business Fixed Investment Spending: A Critical survey of Modeling Strategies, Empirical Results, and Policy Implications," Working Papers 9213, Harris School of Public Policy Studies, University of Chicago.
    7. Clark, Todd E. & McCracken, Michael W., 2001. "Tests of equal forecast accuracy and encompassing for nested models," Journal of Econometrics, Elsevier, vol. 105(1), pages 85-110, November.
    8. West, Kenneth D, 2001. "Tests for Forecast Encompassing When Forecasts Depend on Estimated Regression Parameters," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 29-33, January.
    9. Martin Lettau, 2001. "Consumption, Aggregate Wealth, and Expected Stock Returns," Journal of Finance, American Finance Association, vol. 56(3), pages 815-849, June.
    10. Harvey, David I & Leybourne, Stephen J & Newbold, Paul, 1998. "Tests for Forecast Encompassing," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 254-259, April.
    11. West, Kenneth D, 1996. "Asymptotic Inference about Predictive Ability," Econometrica, Econometric Society, vol. 64(5), pages 1067-1084, September.
    12. Bernanke, Ben & Bohn, Henning & Reiss, Peter C., 1988. "Alternative non-nested specification tests of time-series investment models," Journal of Econometrics, Elsevier, vol. 37(3), pages 293-326, March.
    13. Barro, Robert J, 1990. "The Stock Market and Investment," Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 115-131.
    14. West, Kenneth D. & Cho, Dongchul, 1995. "The predictive ability of several models of exchange rate volatility," Journal of Econometrics, Elsevier, vol. 69(2), pages 367-391, October.
    15. Jorgenson, Dale W & Hunter, Jerald & Nadiri, M Ishaq, 1970. "The Predictive Performance of Econometric Models of Qtrly Investment Behavior," Econometrica, Econometric Society, vol. 38(2), pages 213-224, March.
    16. Mc Cracken, Michael W., 2000. "Robust out-of-sample inference," Journal of Econometrics, Elsevier, vol. 99(2), pages 195-223, December.
    17. Todd Clark & Michael McCracken, 2005. "Evaluating Direct Multistep Forecasts," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 369-404.
    18. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    19. Stock, James H & Watson, Mark W, 1996. "Evidence on Structural Instability in Macroeconomic Time Series Relations," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 11-30, January.
    20. Oliner, Stephen & Rudebusch, Glenn & Sichel, Daniel, 1995. "New and Old Models of Business Investment: A Comparison of Forecasting Performance," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(3), pages 806-826, August.
    21. Pesaran, M. Hashem & Timmermann, Allan, 2002. "Market timing and return prediction under model instability," Journal of Empirical Finance, Elsevier, vol. 9(5), pages 495-510, December.
    22. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
    23. Clements, Michael P & Hendry, David F, 1995. "Forecasting in Cointegration Systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 127-146, April-Jun.
    24. Tobin, James, 1969. "A General Equilibrium Approach to Monetary Theory," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 1(1), pages 15-29, February.
    25. Abel, Andrew B & Blanchard, Olivier J, 1986. "The Present Value of Profits and Cyclical Movements in Investment," Econometrica, Econometric Society, vol. 54(2), pages 249-273, March.
    26. Charles W. Bischoff, 1971. "Business Investment in the 1970s: A Comparison of Models," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, pages 13-64.
    27. Jorgenson, Dale W & Hunter, Jerald & Nadiri, M Ishaq, 1970. "A Comparison of Alternative Econometric Models of Qtrly Investment Behavior," Econometrica, Econometric Society, vol. 38(2), pages 187-212, March.
    28. Clements,Michael & Hendry,David, 1998. "Forecasting Economic Time Series," Cambridge Books, Cambridge University Press, number 9780521634809, March.
    29. Olivier Blanchard & Changyong Rhee & Lawrence Summers, 1993. "The Stock Market, Profit, and Investment," The Quarterly Journal of Economics, Oxford University Press, vol. 108(1), pages 115-136.
    30. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    31. Jorgenson, Dale W, 1971. "Econometric Studies of Investment Behavior: A Survey," Journal of Economic Literature, American Economic Association, vol. 9(4), pages 1111-1147, December.
    32. Richard W. Kopcke & Richard S. Brauman, 2001. "The performance of traditional macroeconomic models of businesses' investment spending," New England Economic Review, Federal Reserve Bank of Boston, pages 3-39.
    33. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
    34. Engle, Robert F. & Yoo, Byung Sam, 1987. "Forecasting and testing in co-integrated systems," Journal of Econometrics, Elsevier, vol. 35(1), pages 143-159, May.
    35. 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.
    36. David Harvey & Paul Newbold, 2000. "Tests for multiple forecast encompassing," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 471-482.
    37. West, Kenneth D & McCracken, Michael W, 1998. "Regression-Based Tests of Predictive Ability," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 817-840, November.
    38. Hoffman, Dennis L & Rasche, Robert H, 1996. "Assessing Forecast Performance in a Cointegrated System," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 495-517, Sept.-Oct.
    39. Peter K. Clark, 1979. "Investment in the 1970s: Theory, Performance, and Prediction," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 10(1), pages 73-124.
    40. Abel, Andrew B., 1982. "Dynamic effects of permanent and temporary tax policies in a q model of investment," Journal of Monetary Economics, Elsevier, vol. 9(3), pages 353-373.
    41. J. Maurice Clark, 1917. "Business Acceleration and the Law of Demand: A Technical Factor in Economic Cycles," Journal of Political Economy, University of Chicago Press, vol. 25, pages 217-217.
    42. David E. Rapach & Christian E. Weber, 2004. "Financial Variables and the Simulated Out-of-Sample Forecastability of U.S. Output Growth Since 1985: An Encompassing Approach," Economic Inquiry, Western Economic Association International, vol. 42(4), pages 717-738, October.
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    Cited by:

    1. Mark J. Holmes, 2010. "An Alternative Perspective on Tobin's Q and Aggregate Investment Expenditure," International Journal of Business and Economics, College of Business and College of Finance, Feng Chia University, Taichung, Taiwan, vol. 9(1), pages 23-28, April.

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