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Одновременные Эффекты Несинхронных Временных Рядов: Проблемы Var-Модели

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  • Григорьев Р.А.

Abstract

НИИ проблем социально-экономического развития, Казанский инновационный университет им. В.Г. Тимирясова (ИЭУП), Казань. E-mail: Ruslan.grigoryev@yandex.ru Автор благодарит анонимных рецензентов за рекомендации по улучшению статьи. Автор благодарит Б.Е. Бродского за конструктивные замечания. Аннотация. Требование синхронности временных рядов не является часто встречающимся условием в теоретических описаниях эконометрических моделей и тестов на их основе. Однако ввиду того что большое число показателей в мире в силу распределенности субъектов анализа в разных временных зонах являются несинхронными, исследователи стали опрометчиво использовать классические эконометрические модели, успешно работающие с синхронными временными рядами, на данных несинхронного типа. Эта статья подвергает критическому анализу применение несинхронных временных рядов в модели VAR Кристофера Симса из-за появления в них одновременных эффектов для отдельных переменных, которые при применении синхронных данных попросту отсутствуют. Новизна работы состоит в утверждении некорректности использования классических VAR- и VECM-моделей совместно с несинхронными временными рядами. Показано, что в процессе использования временных рядов, записанных неодномоментно, модель нарушает паритет начальных условий тестирования, где один из рядов получает преимущество в отклонении гипотезы грейнжеровского предшествия другому ряду. Наличие подобного диспаритета состоит в том, что временному ряду, записанному позже внутри наблюдения, классическая модель разрешает одновременные эффекты, а другому временному ряду модель в этих эффектах отказывает. Возможный вариант устранения подобных некорректностей лежит в использовании нескольких моделей VAR. Переменные лага 0 временного ряда, момент записи которого происходит позже ряда-оппонента, в случае SVAR-моделей приводит к нарушению принципов каузальности Юма. Нахождение данной переменной в составе модели нарушает корректную оценку других ее показателей, а грейнжеровское предшествие этой переменной в этом случае тестируется для направления из будущего в прошлое, что является неприемлемым.

Suggested Citation

  • Григорьев Р.А., 2019. "Одновременные Эффекты Несинхронных Временных Рядов: Проблемы Var-Модели," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 55(2), pages 118-129, апрель.
  • Handle: RePEc:scn:cememm:v:55:y:2019:i:2:p:118-129
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    1. Anatoly A. Peresetsky & Ruslan I. Yakubov, 2017. "Autocorrelation in an unobservable global trend: does it help to forecast market returns?," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 7(1/2), pages 152-169.
    2. Ezequiel Uriel Jiménez & Javier Quesada Ibáñez & Amado Peiró Giménez, 1993. "Transmission Of Information Between Stock Markets," Working Papers. Serie EC 1993-07, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    3. Durdyev, Ruslan & Peresetsky, Anatoly, 2014. "Autocorrelation in the global stochastic trend," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 35(3), pages 39-58.
    4. Grigoryeva, Lyudmila & Ortega, Juan-Pablo & Peresetsky, Anatoly, 2018. "Volatility forecasting using global stochastic financial trends extracted from non-synchronous data," Econometrics and Statistics, Elsevier, vol. 5(C), pages 67-82.
    5. repec:zbw:bofitp:2013_015 is not listed on IDEAS
    6. Grigoryev, Ruslan & Jaffry, Shabbar & Marchenko, German, 2012. "The role of the timeline in Granger causality test in the presence of daily data non-synchronism," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 27(3), pages 3-19.
    7. Bruce G. Resnick & Gary L. Shoesmith, 2011. "Information Transmission in the World Money Markets," European Financial Management, European Financial Management Association, vol. 17(1), pages 183-200, January.
    8. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    9. Billio, Monica & Caporin, Massimiliano, 2010. "Market linkages, variance spillovers, and correlation stability: Empirical evidence of financial contagion," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2443-2458, November.
    10. A. G. Malliaris & Jorge L. Urrutia, 2005. "The International Crash of October 1987: Causality Tests," World Scientific Book Chapters, in: Economic Uncertainty, Instabilities And Asset Bubbles Selected Essays, chapter 16, pages 251-262, World Scientific Publishing Co. Pte. Ltd..
    11. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
    12. Granger, C. W. J., 1988. "Some recent development in a concept of causality," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 199-211.
    13. Bessler, David A. & Yang, Jian, 2003. "The structure of interdependence in international stock markets," Journal of International Money and Finance, Elsevier, vol. 22(2), pages 261-287, April.
    14. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    15. Gebka, Bartosz & Serwa, Dobromil, 2007. "Intra- and inter-regional spillovers between emerging capital markets around the world," Research in International Business and Finance, Elsevier, vol. 21(2), pages 203-221, June.
    16. Kristin J. Forbes & Roberto Rigobon, 2002. "No Contagion, Only Interdependence: Measuring Stock Market Comovements," Journal of Finance, American Finance Association, vol. 57(5), pages 2223-2261, October.
    17. Kasa, Kenneth, 1992. "Common stochastic trends in international stock markets," Journal of Monetary Economics, Elsevier, vol. 29(1), pages 95-124, February.
    18. Resnick, Bruce G. & Shoesmith, Gary L., 2017. "A note on modeling world equity markets with nonsynchronous data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 125-132.
    19. 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 213-228, August.
    20. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    21. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    22. Grigoryev, Ruslan & Jaffry, Shabbar & Marchenko, German, 2012. "Investigation of the consequences of ignoring daily data non-synchronism in cross-market linkages: BRIC and developed countries," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 26(2), pages 92-112.
    23. Ø. Gjerde & F. Sættem, 1995. "Linkages among European and world stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 1(2), pages 165-179.
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