Determining the Number of Factors in Approximate Factor Models
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- Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Econometric Society World Congress 2000 Contributed Papers 1504, Econometric Society.
References listed on IDEAS
- Stock, James H. & Watson, Mark W., 1999.
"Forecasting inflation,"
Journal of Monetary Economics, Elsevier, vol. 44(2), pages 293-335, October.
- James H. Stock & Mark W. Watson, 1999. "Forecasting Inflation," NBER Working Papers 7023, National Bureau of Economic Research, Inc.
- Gregory, Allan W & Head, Allen C & Raynauld, Jacques, 1997.
"Measuring World Business Cycles,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 38(3), pages 677-701, August.
- Allan Gregory & Allen Head & Jacques Raynauld, 1994. "Measuring World Business Cycles," Working Paper 902, Economics Department, Queen's University.
- Ghysels, E. & Ng, S., 1996.
"A Semi-Parametric Factor Model for Interest Rates,"
Cahiers de recherche
9612, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Eric Ghysels & Serena Ng, 1996. "A Semi-Parametric Factor Model for Interest Rates," CIRANO Working Papers 96s-18, CIRANO.
- Ghysels, E. & Ng, S., 1996. "A Semi-Parametric Factor Model for Interest Rates," Cahiers de recherche 9612, Universite de Montreal, Departement de sciences economiques.
- Schwert, G William, 2002.
"Tests for Unit Roots: A Monte Carlo Investigation,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
- Schwert, G William, 1989. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(2), pages 147-159, April.
- G. William Schwert, 1988. "Tests For Unit Roots: A Monte Carlo Investigation," NBER Technical Working Papers 0073, National Bureau of Economic Research, Inc.
- Stephen A. Ross, 2013.
"The Arbitrage Theory of Capital Asset Pricing,"
World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 1, pages 11-30,
World Scientific Publishing Co. Pte. Ltd..
- Ross, Stephen A., 1976. "The arbitrage theory of capital asset pricing," Journal of Economic Theory, Elsevier, vol. 13(3), pages 341-360, December.
- Stephen A. Ross, "undated". "The Arbitrage Theory of Capital Asset Pricing," Rodney L. White Center for Financial Research Working Papers 2-73, Wharton School Rodney L. White Center for Financial Research.
- Stephen A. Ross, "undated". "The Arbitrage Theory of Capital Asset Pricing," Rodney L. White Center for Financial Research Working Papers 02-73, Wharton School Rodney L. White Center for Financial Research.
- Mario Forni & Lucrezia Reichlin, 1998.
"Let's Get Real: A Factor Analytical Approach to Disaggregated Business Cycle Dynamics,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 453-473.
- Mario Forni & Lucrezia Reichlin, 1998. "Let's get real: a factor analytical approach to disaggregated business cycle dynamics," ULB Institutional Repository 2013/10147, ULB -- Universite Libre de Bruxelles.
- Gregory Connor and Robert Korajczyk., 1987. "Risk and Return in an Equilibrium APT," Research Program in Finance Working Papers 174, University of California at Berkeley.
- Connor, Gregory & Korajczyk, Robert A., 1986. "Performance measurement with the arbitrage pricing theory : A new framework for analysis," Journal of Financial Economics, Elsevier, vol. 15(3), pages 373-394, March.
- Cragg, John G. & Donald, Stephen G., 1997. "Inferring the rank of a matrix," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 223-250.
- Forni, Mario & Lippi, Marco, 1997. "Aggregation and the Microfoundations of Dynamic Macroeconomics," OUP Catalogue, Oxford University Press, number 9780198288008, Decembrie.
- Forni, Mario & Lippi, Marco, 2001.
"The Generalized Dynamic Factor Model: Representation Theory,"
Econometric Theory, Cambridge University Press, vol. 17(6), pages 1113-1141, December.
- Lippi, Marco & Forni, Mario, 2000. "The Generalized Dynamic Factor Model: Representation Theory," CEPR Discussion Papers 2509, C.E.P.R. Discussion Papers.
- Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000.
"The Generalized Dynamic-Factor Model: Identification And Estimation,"
The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
- Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 1999. "The Generalized Dynamic Factor Model: Identification and Estimation," CEPR Discussion Papers 2338, C.E.P.R. Discussion Papers.
- Mario Forni & Marc Hallin & Lucrezia Reichlin & Marco Lippi, 2000. "The generalised dynamic factor model: identification and estimation," ULB Institutional Repository 2013/10143, ULB -- Universite Libre de Bruxelles.
- John H. Cochrane, 1999.
"New facts in finance,"
Economic Perspectives, Federal Reserve Bank of Chicago, vol. 23(Q III), pages 36-58.
- John H. Cochrane, 1999. "New Facts in Finance," CRSP working papers 490, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
- John H. Cochrane, 1999. "New Facts in Finance," NBER Working Papers 7169, National Bureau of Economic Research, Inc.
- James H. Stock & Mark W. Watson, 1998. "Diffusion Indexes," NBER Working Papers 6702, National Bureau of Economic Research, Inc.
- Gregory, Allan W. & Head, Allen C., 1999.
"Common and country-specific fluctuations in productivity, investment, and the current account,"
Journal of Monetary Economics, Elsevier, vol. 44(3), pages 423-451, December.
- Allan Gregory & Allen Head, 1996. "Common And Country-specific Fluctuations In Productivity, Investment, And The Current Account," Working Paper 931, Economics Department, Queen's University.
- Geweke, John F & Meese, Richard, 1981.
"Estimating Regression Models of Finite but Unknown Order,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 22(1), pages 55-70, February.
- Geweke, John & Meese, Richard, 1981. "Estimating regression models of finite but unknown order," Journal of Econometrics, Elsevier, vol. 16(1), pages 162-162, May.
- James H. Stock & Mark W. Watson, 1989.
"New Indexes of Coincident and Leading Economic Indicators,"
NBER Chapters, 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.
- Lippi, Marco & Reichlin, Lucrezia & Hallin, Marc & Forni, Mario, 2000. "Reference Cycles: The NBER Methodology Revisited," CEPR Discussion Papers 2400, C.E.P.R. Discussion Papers.
- Connor, Gregory & Korajczyk, Robert A, 1993. "A Test for the Number of Factors in an Approximate Factor Model," Journal of Finance, American Finance Association, vol. 48(4), pages 1263-1291, September.
- Stephen G. Donald, 1997. "Inference Concerning the Number of Factors in a Multivariate Nonparametric Relationship," Econometrica, Econometric Society, vol. 65(1), pages 103-132, January.
- Lehmann, Bruce N. & Modest, David M., 1988. "The empirical foundations of the arbitrage pricing theory," Journal of Financial Economics, Elsevier, vol. 21(2), pages 213-254, September.
- Backus, David & Foresi, Silverio & Mozumdar, Abon & Wu, Liuren, 2001.
"Predictable changes in yields and forward rates,"
Journal of Financial Economics, Elsevier, vol. 59(3), pages 281-311, March.
- David Backus & Silverio Foresi & Abon Mozumdar & Liuren Wu, 1998. "Predictable Changes in Yields and Forward Rates," NBER Working Papers 6379, National Bureau of Economic Research, Inc.
- Dhrymes, Phoebus J & Friend, Irwin & Gultekin, N Bulent, 1984. "A Critical Reexamination of the Empirical Evidence on the Arbitrage Pricing Theory," Journal of Finance, American Finance Association, vol. 39(2), pages 323-346, June.
- Thomas J. Sargent & Christopher A. Sims, 1977.
"Business cycle modeling without pretending to have too much a priori economic theory,"
Working Papers
55, Federal Reserve Bank of Minneapolis.
- Tom Doan, "undated". "RATS program to estimate observable index model from Sargent-Sims(1977)," Statistical Software Components RTZ00126, Boston College Department of Economics.
- Lewbel, Arthur, 1991. "The Rank of Demand Systems: Theory and Nonparametric Estimation," Econometrica, Econometric Society, vol. 59(3), pages 711-730, May.
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More about this item
Keywords
Factor analysis; asset pricing; principal components; model selection;All these keywords.
JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2000-04-17 (Econometrics)
- NEP-FMK-2000-04-17 (Financial Markets)
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