FORECASTING OF STOCK PRICE VOLATILITY: AN EVALUATION

Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1888

Title:	FORECASTING OF STOCK PRICE VOLATILITY: AN EVALUATION
Authors:	G B, Sabari Rajan
Keywords:	Clumping Observations Econometric Volatility
Issue Date:	Sep-2019
Publisher:	Asian Journal of Multidimensional Research
Abstract:	This study is been conducted to forecast the market volatility using different econometric (ARCH) models and found the suitable model to measure the same. For the purpose of this study a sample of 24 automobile companies has been selected for research based on their market capitalization, which is classified under three categories - High, Medium and Low. The EGARCH model provides the most accurate forecast compared to other competing models in the study. The study also made few observations which may help the investors to understand better about the stock market.
URI:	http://localhost:8080/xmlui/handle/123456789/1888
ISSN:	2278-4853
Appears in Collections:	National Journals

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