A Nonlinear Analysis of Forward Premium and Volatility

A Nonlinear Analysis of Forward Premium and Volatility

Chiente Hsu and Peter Kugler
Department of Economics
University of Bern


Pages 187-201


Abstract

In this paper we investigate the relationship between risk premium and a time-varying conditional variance of spot rate using weekly Swiss franc/US dollar exchange-rate data. First, we apply an EGARCH-in-mean framework to test the unbiasedness hypothesis of the forward rate with a volatility dependent risk premium. The corresponding estimates point to no significant influence of volatility on the risk premium, and reject the unbiasedness hypothesis. Second, we apply a seminonparametric, nonlinear impulse-response analysis to the spot-rate change and the forward premium. This framework allows us to analyze the risk premium/volatility relationship without using a specific, parametric model such as EGARCH-in-mean. The latter analysis confirms the negative EGARCH-in-mean results with respect to the risk premium/volatility relationship, although the volatility dynamics estimated is clearly different from that implied by the EGARCH estimate. Moreover, the forward premium has a nonlinear dynamic influence on the spot rate, whereas the converse is not true.

Bibliography

  • Bekaert, G., and R. J. Hodrick (1993). "On biases in the measurement of foreign exchange risk premiums." Journal of International Money and Finance, 12: 115-138.
  • Bollerslev, T., R. Y. Chou, and K. F. Kroner (1992). "ARCH modeling in finance: a review of the theory and empirical evidence." Journal of Econometrics, 52: 5-59.
  • Domowitz, I., and C. Hakkio (1985). "Conditional variance and the risk premium in a foreign exchange market." Journal of International Economics, 19: 47-66.
  • Engle, R., D. Lilien, and R. Robins (1987). "Estimating time varying risk premium in the term structure: the ARCH-M model." Econometrica, 55(2): 391-407.
  • Fama, E. (1984). "Forward and spot exchange rates." Journal of Monetary Economics, 14: 319-338.
  • Gallant, R., and Douglas W. Nychka (1987). "Semi-nonparametric maximum likelihood estimation." Econometrica, 55(2): 363-390.
  • Gallant, R., P. Rossi, and G. Tauchen (1993). "Nonlinear dynamic structures." Econometrica, 61: 871-907.
  • Gallant, R., and G. Tauchen (1989). "Seminonparametric estimation of conditionally constrained heterogeneous processes: asset pricing applications." Econometrica, 57: 1091-1120.
  • Gallant, R., and G. Tauchen (1992). "A nonparametric approach to nonlinear time series analysis: estimation and simulation." In D. Brillinger, P. Caines, J. Geweke, E. Parzen, M. Rosenblatt, and M. S. Taqqu (eds.), New Directions in Time Series Analysis, part II. New York, NY: Springer-Verlag, pp. 71-92.
  • Kendall, J. D., and A. D. McDonald (1989). "Univariate GARCH-M and the risk premium in a foreign exchange market." Unpublished manuscript. Department of Economics, University of Tasmania, Hobart.
  • Lampietti, D. (1993). "Linear versus nonlinear models for exchange rates." Doctoral thesis, University of Bern.
  • Nelson, D. B. (1990). "Conditional heteroskedasticity in asset returns: a new approach." Econometrica, 59: 347-370.
  • Pagan, A. R., and A. Ullah (1988). "The econometric analysis of models with risk terms." Journal of Applied Econometrics, 3: 87-105.