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Are Feedback Factors Important in Modeling Financial Data?

  • HELENA VEIGA

This paper provides empirical evidence that continuous time models with one factor of volatility are, under some circumstances, able to fit the main characteristics of financial data and reports insights about the importance of introducing feedback factors to capture the strong persistence caused by the presence of changes in the variance. We use the Efficient Method of Moments (EMM) by Gallant and Tauchen (1996) to estimate logarithmic models with one and two stochastic volatility factors (with and without feedback) and to select among them. Copyright (c) International Review of Finance Ltd. 2007.

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File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/j.1468-2443.2007.00070.x
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Article provided by International Review of Finance Ltd. in its journal International Review of Finance.

Volume (Year): 7 (2007)
Issue (Month): 3-4 ()
Pages: 105-118

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Handle: RePEc:bla:irvfin:v:7:y:2007:i:3-4:p:105-118
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  1. Coppejans, Mark & Gallant, A. Ronald, 2002. "Cross-validated SNP density estimates," Journal of Econometrics, Elsevier, vol. 110(1), pages 27-65, September.
  2. Elena Andreou & Eric Ghysels, 2001. "Detecting Multiple Breaks in Financial Market Volatility Dynamics," University of Cyprus Working Papers in Economics 0202, University of Cyprus Department of Economics.
  3. Granger, Clive W.J. & Hyung, Namwon, 1999. "Occasional Structural Breaks and Long Memory," University of California at San Diego, Economics Working Paper Series qt4d60t4jh, Department of Economics, UC San Diego.
  4. Michel Beine & Sébastien Laurent, 2003. "Central Bank interventions and jumps in double long memory models of daily exchange rates," ULB Institutional Repository 2013/10435, ULB -- Universite Libre de Bruxelles.
  5. Yacine Ait-Sahalia, 1995. "Nonparametric Pricing of Interest Rate Derivative Securities," NBER Working Papers 5345, National Bureau of Economic Research, Inc.
  6. Mikhail Chernov & A. Ronald Gallant & Eric Ghysels & George Tauchen, 2002. "Alternative Models for Stock Price Dynamics," CIRANO Working Papers 2002s-58, CIRANO.
  7. Ronald Gallant, A. & Tauchen, George, 1999. "The relative efficiency of method of moments estimators1," Journal of Econometrics, Elsevier, vol. 92(1), pages 149-172, September.
  8. Yacine Ait-Sahalia, 1995. "Testing Continuous-Time Models of the Spot Interest Rate," NBER Working Papers 5346, National Bureau of Economic Research, Inc.
  9. Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
  10. Gallant, A. Ronald & Tauchen, George, 1996. "Which Moments to Match?," Econometric Theory, Cambridge University Press, vol. 12(04), pages 657-681, October.
  11. repec:cup:etheor:v:12:y:1996:i:4:p:657-81 is not listed on IDEAS
  12. Diebold, Francis X. & Inoue, Atsushi, 2001. "Long memory and regime switching," Journal of Econometrics, Elsevier, vol. 105(1), pages 131-159, November.
  13. Brandt, Michael W. & Santa-Clara, Pedro, 2002. "Simulated likelihood estimation of diffusions with an application to exchange rate dynamics in incomplete markets," Journal of Financial Economics, Elsevier, vol. 63(2), pages 161-210, February.
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