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On the importance of testing structural identification schemes and the potential consequences of incorrectly identified models

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  • Velinov, Anton

Abstract

Identification schemes are of essential importance in structural analysis. This paper focuseson testing a commonly used long-run structural parameter identification scheme claiming to identifyfundamental and non-fundamental shocks to stock prices. Five related widely used structural modelson assessing stock price determinants are considered. All models are either specified in vector errorcorrection (VEC) or in vector autoregressive (VAR) form. A Markov switching in heteroskedasticitymodel is used to test the identifying restrictions. It is found that for two of the models considered,the long-run identification scheme appropriately classifies shocks as being either fundamental or nonfundamental.A small empirical exercise finds that the models with properly identified structuralshocks deliver realistic conclusions, similar as in some of the literature. On the other hand, modelswith identification schemes not supported by the data yield dubious conclusions on the importance offundamentals for real stock prices. This is because their structural shocks are not properly identified,making any shock labelling ambiguous. Hence, in order to ensure that economic shocks of interest areproperly captured, it is important to test the structural identification scheme.

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  • Velinov, Anton, 2018. "On the importance of testing structural identification schemes and the potential consequences of incorrectly identified models," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 2(1), pages 106-126.
    • Handle: RePEc:zbw:espost:200397
    DOI: 10.3934/QFE.2018.1.106
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    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. Pan, Ming-Shiun, 2007. "Permanent and transitory components of earnings, dividends, and stock prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(4), pages 535-549, September.
    3. Rapach, David E., 2001. "Macro shocks and real stock prices," Journal of Economics and Business, Elsevier, vol. 53(1), pages 5-26.
    4. Velinov, Anton & Chen, Wenjuan, 2015. "Do stock prices reflect their fundamentals? New evidence in the aftermath of the financial crisis," Journal of Economics and Business, Elsevier, vol. 80(C), pages 1-20.
    5. Saikkonen, Pentti & Lutkepohl, Helmut, 2000. "Testing for the Cointegrating Rank of a VAR Process with Structural Shifts," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(4), pages 451-464, October.
    6. Chung, Heetaik & Lee, Bong-Soo, 1998. "Fundamental and nonfundamental components in stock prices of Pacific-Rim countries," Pacific-Basin Finance Journal, Elsevier, vol. 6(3-4), pages 321-346, August.
    7. Waggoner, Daniel F. & Zha, Tao, 2003. "Likelihood preserving normalization in multiple equation models," Journal of Econometrics, Elsevier, vol. 114(2), pages 329-347, June.
    8. Lanne, Markku & Lütkepohl, Helmut, 2010. "Structural Vector Autoregressions With Nonnormal Residuals," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(1), pages 159-168.
    9. Podstawski, Maximilian & Velinov, Anton, 2018. "The state dependent impact of bank exposure on sovereign risk," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 88, pages 63-75.
    10. King, Robert G. & Plosser, Charles I. & Stock, James H. & Watson, Mark W., 1991. "Stochastic Trends and Economic Fluctuations," American Economic Review, American Economic Association, vol. 81(4), pages 819-840, September.
    11. Christopher J. Erceg & Luca Guerrieri & Christopher Gust, 2005. "Can Long-Run Restrictions Identify Technology Shocks?," Journal of the European Economic Association, MIT Press, vol. 3(6), pages 1237-1278, December.
    12. Saikkonen, Pentti & Lütkepohl, Helmut, 2000. "Testing For The Cointegrating Rank Of A Var Process With An Intercept," Econometric Theory, Cambridge University Press, vol. 16(3), pages 373-406, June.
    13. Canova, Fabio & De Nicolo', Gianni, 1995. "Stock returns and real activity: A structural approach," European Economic Review, Elsevier, vol. 39(5), pages 981-1015, May.
    14. Cheung, Yin-Wong & Ng, Lilian K., 1998. "International evidence on the stock market and aggregate economic activity," Journal of Empirical Finance, Elsevier, vol. 5(3), pages 281-296, September.
    15. Fama, Eugene F, 1990. "Stock Returns, Expected Returns, and Real Activity," Journal of Finance, American Finance Association, vol. 45(4), pages 1089-1108, September.
    16. Lutkepohl, Helmut & Saikkonen, Pentti & Trenkler, Carsten, 2003. "Comparison of tests for the cointegrating rank of a VAR process with a structural shift," Journal of Econometrics, Elsevier, vol. 113(2), pages 201-229, April.
    17. Laopodis, Nikiforos T., 2011. "Equity prices and macroeconomic fundamentals: International evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(2), pages 247-276, April.
    18. Lanne, Markku & Lütkepohl, Helmut & Maciejowska, Katarzyna, 2010. "Structural vector autoregressions with Markov switching," Journal of Economic Dynamics and Control, Elsevier, vol. 34(2), pages 121-131, February.
    19. Lutkepohl, Helmut & Saikkonen, Pentti, 2000. "Testing for the cointegrating rank of a VAR process with a time trend," Journal of Econometrics, Elsevier, vol. 95(1), pages 177-198, March.
    20. Zhong, Maosen & Darrat, Ali F. & Anderson, Dwight C., 2003. "Do US stock prices deviate from their fundamental values? Some new evidence," Journal of Banking & Finance, Elsevier, vol. 27(4), pages 673-697, April.
    21. Podstawski, Maximilian & Velinov, Anton, 2018. "The state dependent impact of bank exposure on sovereign risk," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 63-75.
    22. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    23. Lee, Bong-Soo, 1996. "Comovements of earnings, dividends, and stock prices," Journal of Empirical Finance, Elsevier, vol. 3(4), pages 327-346, December.
    24. Roberto Rigobon, 2003. "Identification Through Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 777-792, November.
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