Journal of Economics and Economic Education Research (Print ISSN: 1533-3590; Online ISSN: 1533-3604)

Abstract

An Emerging Econometric and Machine Learning approach for Unpredictable Resource Prices and Equity Volatility in Advance

Author(s): Ashutosh Kumar

Global stock Requests are veritably changeable. One of the significant aspects of the recent extremity is the significant rise in global stock request query and the increased frequence of what judges call the significant rise in global fiscal request query and the increased frequence of what judges relate to it as asymmetric information in the fiscal system. The indicator of colorful securities requests is significantly impacted by the effect of resource prices. To more understand the volatility of the stock request, judges and experimenters are using a variety of machine literacy approaches and econometrics methodologies, together with slice- edge technologies similar as artificial intelligence, to read stock price patterns.

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