• Dr. Jagannayaki K
  • Dr. Sreekanth Yerramilli
  • Vara Lakshmi Thavva
  • Nunna Suresh


Exchange Rates, Aggressiveness, interdependency, linearity, leverage effect, volatility clustering.


The present study focuses on the time series behaviour of select currencies using GARCH Models. Monthly returns of currency prices exhibit aggressiveness and high degree of interdependence. In particular, generalized autoregressive conditional heteroscedastic GARCH (1, 1) processes fit to data very satisfactorily. Various out-of-sample forecasts of monthly return variances are generated and compared statistically. Forecasts based on the GARCH model are found to be superior. The common assumptions of this model is interdependence and linearity. This paper aims to model the volatility of INR exchange rates against USD for the period from January 2000 to 5 January 2023 using the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models. Both symmetric and asymmetric models have been applied to measure factors that are related to the exchange rate returns such as leverage effect and volatility clustering. Based on the results, the static forecast of GJR-GARCH (1, 1) is the best model in predicting the future pattern for both INR and USD.

References itstrend-to-current-equity market

Bollerslev, T., Chou, R. Y., and Kroner, K. F. (1992) ARCH modelling in finance. Journal of Econometrics, 52, 5–59.

Bollerslev, T., Engle, R. F., and Nelson, D. B. (1994) ARCH models, In Handbook of Econometrics, Vol IV, Engle, R.F., and McFadden, D.L., Elsevier, Amsterdam

Gourieroux, C. and Jasiak, J. (2001) Financial Econometrics, Princeton University Press, Princeton, NJ.

Hamilton, J. D. (1994) Time Series Analysis, Princeton University Press, Princeton, NJ.

Heston, S., and Nandi, S. (2000) A closed form GARCH option pricing model. The Review of Financial Studies, 13, 585–625.

Rossi, P. E. (1996) Modelling Stock Market Volatility, Academic Press, San Diego.

Tsay, R. S. (2005) Analysis of Financial Time Series, 2nd ed., Wiley, New York.




How to Cite

K, D. J. ., Yerramilli, D. S. ., Thavva, V. L. . ., & Suresh, N. . (2023). EXCHANGE RATE VOLATILITY IN INDIAN MARKETS USING GARCH MODELS. The Journal of Contemporary Issues in Business and Government, 29(4), 224–234. Retrieved from