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Limitation of ARIMA models in financial and monetary economics

Author

Listed:
  • Andreea-Cristina PETRICĂ

    (Bucharest University of Economic Studies, Romania)

  • Stelian STANCU

    (Bucharest University of Economic Studies, Romania)

  • Alexandru TINDECHE

    (Bucharest University of Economic Studies, Romania)

Abstract

Abandoning the classical econometric modeling approach which consists in using explanatory variables (suggested by economic theory for prediction), we choose instead to use a sophisticated method developed by Box and Jenkins (1970) based solely on the past behavior of the variable being modeled/forecast. As we are in a data-rich environment and the economies and financial markets are more integrated than ever before, the quantitative methods in business and finance has increased substantially in recent years. This paper investigates the limitation of autoregressive integrated moving average (ARIMA) models in financial and monetary economics using the behavior of BET Index and EUR/RON exchange rates, respectively. Two important features discovered in the analysis of financial time series in this paper are fat-tails (large losses or gains are coming at a higher probability than the normal distribution would suggest) and volatility clustering, these empirical properties can’t be captured by integrated ARMA models, hence the limitation of these models.

Suggested Citation

  • Andreea-Cristina PETRICĂ & Stelian STANCU & Alexandru TINDECHE, 2016. "Limitation of ARIMA models in financial and monetary economics," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(609), W), pages 19-42, Winter.
    • Handle: RePEc:agr:journl:v:xxiii:y:2016:i:4(609):p:19-42
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    1. Kon, Stanley J, 1984. "Models of Stock Returns-A Comparison," Journal of Finance, American Finance Association, vol. 39(1), pages 147-165, March.
    2. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    3. Richard Meese & Kenneth Rogoff, 1983. "The Out-of-Sample Failure of Empirical Exchange Rate Models: Sampling Error or Misspecification?," NBER Chapters, in: Exchange Rates and International Macroeconomics, pages 67-112, National Bureau of Economic Research, Inc.
    4. repec:ebl:ecbull:v:7:y:2007:i:3:p:1-8 is not listed on IDEAS
    5. Cristiana Tudor, 2008. "Modelarea volatilitatii seriilor de timp prin modele GARCH simetrice," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 11(30), pages 183-208, (4).
    6. Christoffersen, Peter, 2011. "Elements of Financial Risk Management," Elsevier Monographs, Elsevier, edition 2, number 9780123744487.
    7. Conrad, Jennifer & Kaul, Gautam & Nimalendran, M., 1991. "Components of short-horizon individual security returns," Journal of Financial Economics, Elsevier, vol. 29(2), pages 365-384, October.
    8. R. Cont, 2001. "Empirical properties of asset returns: stylized facts and statistical issues," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 223-236.
    9. Dat Bue Lock, 2007. "The Taiwan stock market does follow a random walk," Economics Bulletin, AccessEcon, vol. 7(3), pages 1-8.
    10. Liviu-Stelian BEGU & Silvia Spataru & Erika Marin, 2012. "Investigating The Evolution Of Ron/Eur Exchange Rate: The Choice Of Appropriate Model," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 1(2), pages 23-39, DECEMBER.
    11. Muhammad Mansoor Baig & Waheed Aslam & Qaiser Malik & Muhammad Bilal, 2015. "Volatility of Stock Markets (an Analysis of South Asian and G8 Countries)," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 11(6), pages 58-70, December.
    12. Kuo-Ping Chang & Kuo-Shiuan Ting, 2000. "A variance ratio test of the random walk hypothesis for Taiwan's stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 10(5), pages 525-532.
    13. Mark, Nelson C, 1995. "Exchange Rates and Fundamentals: Evidence on Long-Horizon Predictability," American Economic Review, American Economic Association, vol. 85(1), pages 201-218, March.
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