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Abstract

Change is the most eternal phenomenon. An economy is sustainable only when it withstands the change and takes the change into its own stride. Indian economy has four such major changes in last two decades. This study is an attempt to find out how Indian securities market has faced these changes. Volatility is one of the best measures to study the impact of change on the securities market. We have used time-varying variance based GARCH process to capture the change in the volatility and study its impact on the Indian securities market. Further, change in the volatility of US securities market has been compared with change in volatility of Indian securities market at different time of uproar in the Indian Economy. It has been found that co-movement in terms of conditional volatility in both the market is not prominent.

Keywords

Stock market Reforms

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References

Akgiray

(1989), “Conditional Heteroscedasticity in Time Series of Stock Returns: Evidence and Forecast,” Journal of Business, Vol. 62 (1), pp. 55–88.

Andersen

T. G.

Bollerslev

(1998), “Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts,” International Economic Review, Vol. 39 (4), pp. 885–905.

Bollerslev

(1986), “Generalized Autoregressive Conditional Heteroscedasticity,” Journal of Econometrics, Vol. 31 (3), pp. 307–327.

Brailsford

Timothy J.

Faff

Robert W.

(1996), “An Evaluation of Volatility Techniques,” Journal of Banking and Finance, Vol. 20 (3), pp. 419–438.

Brooks

(1998), “Predicting Stock Index Volatility: Can Market Volume Help?” Journal of Forecasting, Vol. 17 (1), pp. 59–80.

Corhay

Rad

(1994). “Statistical Properties of Daily Returns: Evidence from European Stock Markets,” Journal of Business Finance and Accounting, Vol. 21 (2), pp. 271–282.

Engle

R. F.

(1982), “Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of the United Kingdom Inflation,” Econometrica, Vol. 50 (4), pp. 987–1007.

Engle

R. F.

Vector K.

(1993), “Measuring and Testing the Impact of News on Volatility,” Journal of Finance, Vol. 48 (5), pp. 1749–1778.

Glosten

Lawrence R.

Jagannathan

Ravi

Runkle

David E.

(1993), “On the Relation between the Expected Value and the Volatility of the Nominal Excess Returns on Stocks,” Journal of Finance, Vol. 48 (2), pp. 1779–1791.

10.

Karmakar

Madhusudan

(2005), “Modeling conditional Volatility of the Indian Stock Markets”, Vikalpa, Vol. 30 (3), pp. 21–37.

11.

Nelson

(1991), “Conditional Heteroscedasticity in Asset Returns: A New Approach,” Econometrica, Vol. 59 (2), pp. 347–370.

12.

Pagan

Schwert

G. W.

(1990), “Alternative Models for Conditional Stock Volatilities,” Journal of Econometrics, Vol. 45 (1), pp. 267–290.

13.

Zakoian

J. M.

(1994), “Threshold Heteroscedastic Models,” Journal of Economic Dynamics, Vol. 18 (5), pp. 931–955.

Comparative Study of Conditional Volatility of Indian and US Stock Markets Using Garch (1,1) Model

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