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Are Feedback Factors Important in Modeling Financial Data?

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  • HELENA VEIGA

Abstract

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.

Suggested Citation

  • Helena Veiga, 2007. "Are Feedback Factors Important in Modeling Financial Data?," International Review of Finance, International Review of Finance Ltd., vol. 7(3‐4), pages 105-118, September.
    • Handle: RePEc:bla:irvfin:v:7:y:2007:i:3-4:p:105-118
    DOI: 10.1111/j.1468-2443.2007.00070.x
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    1. 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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