Stochastic Trends and Short-Run Relationships Between Financial Variables and Real Activity
AbstractThis paper re-examines the relationship between financial variables and real activity in a unified statistical framework. Using the methods of cointegration and separation. we characterize the long-run and short-run relationships between three sets of variables and then use the framework to assess the predictive power of alternative financial variables for real activity. Three main results emerge from the analysis. First, we show that although two sets of variables may not share the long-run trend. the error correction terms from one set of variables may have important explanatory power for the variables in another set. Second, we show that some of the key variables discussed in the literature can be interpreted as error correction terms from another system. Third, comparing two key error correction terms, M2 velocity and the interest rate spread between commercial paper and Treasury bills, we find that M2 velocity appears to be a more consistent predictor of output than is the interest rate spread.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 4275.
Date of creation: Feb 1993
Date of revision:
Note: EFG ME
Contact details of provider:
Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Web page: http://www.nber.org
More information through EDIRC
Find related papers by JEL classification:
- E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
- E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Pierre Perron & Robert J. Shiller, 1984.
"Testing the Random Walk Hypothesis: Power Versus Frequency of Observation,"
Cowles Foundation Discussion Papers
732, Cowles Foundation for Research in Economics, Yale University.
- Shiller, Robert J. & Perron, Pierre, 1985. "Testing the random walk hypothesis : Power versus frequency of observation," Economics Letters, Elsevier, vol. 18(4), pages 381-386.
- Robert J. Shiller & Pierre Perron, 1985. "Testing the Random Walk Hypothesis: Power versus Frequency of Observation," NBER Technical Working Papers 0045, National Bureau of Economic Research, Inc.
- 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.
- Ben Bernanke, 1990. "On the Predictive Power of Interest Rates and Interest Rate Spreads," NBER Working Papers 3486, National Bureau of Economic Research, Inc.
- Campbell, John & Perron, Pierre, 1991.
"Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots,"
3374863, Harvard University Department of Economics.
- John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know About Unit Roots," NBER Chapters, in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220 National Bureau of Economic Research, Inc.
- John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know About Unit Roots," NBER Technical Working Papers 0100, National Bureau of Economic Research, Inc.
- Campbell, J.Y. & Perron, P., 1991. "Pitfalls and Opportunities: What Macroeconomics should know about unit roots," Papers 360, Princeton, Department of Economics - Econometric Research Program.
- Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
- Robert B. Litterman & Laurence M. Weiss, 1984.
"Money, real interest rates, and output: a reinterpretation of postwar U.S. data,"
89, Federal Reserve Bank of Minneapolis.
- Litterman, Robert B & Weiss, Laurence M, 1985. "Money, Real Interest Rates, and Output: A Reinterpretation of Postwar U.S. Data," Econometrica, Econometric Society, vol. 53(1), pages 129-56, January.
- Robert B. Litterman & Laurence Weiss, 1983. "Money, Real Interest Rates, and Output: A Reinterpretation of Postwar U.S. Data," NBER Working Papers 1077, National Bureau of Economic Research, Inc.
- Gonzalo, J. & Granger, C., 1992.
"Estimation of Common Long-Memory Components in Cointegrated Systems,"
4, Boston University - Department of Economics.
- Gonzalo, Jesus & Granger, Clive W J, 1995. "Estimation of Common Long-Memory Components in Cointegrated Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 27-35, January.
- Hyllerberg, S. & Engle, R.F. & Granger, C.W.J. & Yoo, B.S., 1988.
"Seasonal Integration And Cointegration,"
0-88-2, Pennsylvania State - Department of Economics.
- Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
- James H. Stock & Mark W. Watson, 1989.
"New Indexes of Coincident and Leading Economic Indicators,"
in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409
National Bureau of Economic Research, Inc.
- Stock, J.H. & Watson, M.W., 1989. "New Indexes Of Coincident And Leading Economic Indicators," Papers 178d, Harvard - J.F. Kennedy School of Government.
- James G. MacKinnon, 2010.
"Critical Values for Cointegration Tests,"
1227, Queen's University, Department of Economics.
- Perron, P., 1989.
"Test Consistency With Varying Sampling Frequency,"
345, Princeton, Department of Economics - Econometric Research Program.
- Granger, Clive W J, 1986. "Developments in the Study of Cointegrated Economic Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 213-28, August.
- Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
- Robert G. King & Charles I. Plosser & James H. Stock & Mark W. Watson, 1991.
"Stochastic trends and economic fluctuations,"
Working Paper Series, Macroeconomic Issues
91-4, Federal Reserve Bank of Chicago.
- Hall, Alastair R, 1994. "Testing for a Unit Root in Time Series with Pretest Data-Based Model Selection," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 461-70, October.
- Ogaki, M. & Park, Y.Y., 1989.
"A Cointegration Approach To Estimating Preference Parameters,"
RCER Working Papers
209, University of Rochester - Center for Economic Research (RCER).
- Ogaki, Masao & Park, Joon Y., 1997. "A cointegration approach to estimating preference parameters," Journal of Econometrics, Elsevier, vol. 82(1), pages 107-134.
- Kashyap, Anil K & Stein, Jeremy C & Wilcox, David W, 1996. "Monetary Policy and Credit Conditions: Evidence from the Composition of External Finance: Reply," American Economic Review, American Economic Association, vol. 86(1), pages 310-14, March.
- 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.
- Sharon Kozicki & P.A. Tinsley, 1998.
"Vector rational error correction,"
Research Working Paper
98-03, Federal Reserve Bank of Kansas City.
- Jerome Henry & Jens Weidmann, 2005. "The French-German Interest Rate Differential Since German," International Finance 0503009, EconWPA.
- Valerie A. Ramey, 1993.
"How Important is the Credit Channel in the Transmission of Monetary Policy?,"
NBER Working Papers
4285, National Bureau of Economic Research, Inc.
- Ramey, Valerie, 1993. "How important is the credit channel in the transmission of monetary policy?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 1-45, December.
- F. Barran & V. Coudert & B. Mojon, 1997.
"Interest rates, banking spreads and credit supply: the real effects,"
The European Journal of Finance,
Taylor & Francis Journals, vol. 3(2), pages 107-136.
- Fernando Barran & Virginie Coudert & Benoît Mojon, 1995. "Interest Rates, Banking Spreads and Credit Supply: The Real Effects," Working Papers 1995-01, CEPII research center.
- Charles S. Morris & Robert Neal & Douglas Rolph, 1998. "Credit spreads and interest rates : a cointegration approach," Research Working Paper 98-08, Federal Reserve Bank of Kansas City.
- Guglielmo Caporale & Nikitas Pittis, 1995. "Inflation convergence in the EMS: Some additional evidence. A reply," Review of World Economics (Weltwirtschaftliches Archiv), Springer, vol. 131(3), pages 587-593, September.
- Michael Dotsey & Christopher Otrok, 1994. "M2 and monetary policy: a critical review of the recent debate," Economic Quarterly, Federal Reserve Bank of Richmond, issue Win, pages 41-49.
- Krylova, Elizaveta, 2002. "The Credit Channel of Monetary Policy. Case of Austria," Economics Series 111, Institute for Advanced Studies.
- Caporale, Guglielmo Maria & Hassapis, Christis & Pittis, Nikitas, 1998. "Unit roots and long-run causality: investigating the relationship between output, money and interest rates," Economic Modelling, Elsevier, vol. 15(1), pages 91-112, January.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
If references are entirely missing, you can add them using this form.