Time-Varying factor loadingsEquity risk model인도인도주식시장 멀티팩터모형거시경제요소동태적요소We analyze the Indian Stock Market by introducing a new way of incorporating macroeconomic risks into multifactor models. We demonstrate the validity of our ...
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2024, its stock market capitalization surpassed Hong Kong’s for the first time. According to data compiled by Bloomberg, the value of shares listed on Indian exchanges reached $4.33 trillion, compared to $4.29 trillion for Hong Kong.1
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Stock market provides nonlinear time series data that has been difficult for making any kind of predictions. Since the advent of various Machine Learning techniques lot of research is covered in this area. Researches have mostly been car... AA Vohra,PJ Tanna - 《Iop Conference》 被引量: 0发...
The empirical findings would be useful to investors, stock exchange administrators and policy makers as these provide evidence of time varying nature of stock market volatility in India. Specifically, they need to consider the following findings of the study: For both the indices, among the months...
a) Introduction of Electronic Trading:The NSE introduced electronic trading in India, replacing the traditional open outcry system prevalent in stock exchanges at that time. This transition to electronic trading brought greater efficiency, transparency, and accessibility to the Indian stock market. ...
MUMBAI, March 23 (Xinhua) -- Indian stock market halted its trading on Monday morning for the second time this month after the benchmark index of Bombay Stock Exchange - Sensex hit its lower circuit of 10 percent amid rising cases of novel coronavirus. ...
The Indian stock market opened flat on Thursday as buying was seen in IT, PSU banks, financial services and pharma sectors at Nifty.
The Linkages of Asian and the US Stock Markets. The issues of international stock market linkages have already been investigated over the time. Many researchers and economists are concerned about the rel... Royfaizal,C R.,Lee,... - 《Icfai Journal of Financial Economics》 被引量: 10发表: ...