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Simulated Likelihood Estimation of Diffusions with an Application to Exchange Rate Dynamics in Incomplete Markets

  • Michael W. Brandt
  • Pedro Santa-Clara
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    We present an econometric method for estimating the parameters of a diffusion model from discretely sampled data. The estimator is transparent, adaptive, and inherits the asymptotic properties of the generally unattainable maximum likelihood estimator. We use this method to estimate a new continuous-time model of the Joint dynamics of interest rates in two countries and the exchange rate between the two currencies. The model allows financial markets to be incomplete and specifies the degree of incompleteness as a stochastic process. Our empirical results offer several new insights into the dynamics of exchange rates.

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    File URL: http://www.nber.org/papers/t0274.pdf
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    Paper provided by National Bureau of Economic Research, Inc in its series NBER Technical Working Papers with number 0274.

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    Date of creation: Aug 2001
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    Publication status: published as Brandt, Michel W. and Pedro Santa-Clara. "Simulated Likelihood Estimation Of Diffusions With An Application To Exchange Rate Dynamics In Incomplete Markets," Journal of Financial Economics, 2002, v63(2,Feb), 161-210.
    Handle: RePEc:nbr:nberte:0274
    Note: TWP
    Contact details of provider: Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
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    Web page: http://www.nber.org
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