INDIAN STOCK MARKET- A DISTINCTION BETWEEN NSE AND BSE
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Date
2022-05-10Author
KUMAR, VIVEK 19GSOB1010232
KUMAR, VISHAL 19GSOB1010306
PANDEY, VIPIN 19GSOB1010
Khan, Ms. Anam Supervisor
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Stock Market is one of the most vibrant sectors in the financial system, marking an
important contribution to economic development. Stock Market is a place where
buyers and sellers of securities can enter into transactions to purchase and sell shares,
bonds, debentures etc. In other words Stock Market is a plate form for trading various
securities and derivatives. Further, it performs an important role of enabling
corporate, entrepreneurs to raise resources for their companies and business ventures
through public issues. Today long term investors are interested to invest in the Stock
market rather than invest anywhere. The Bombay Stock Exchange (BSE), the
National Stock Exchange (NSE) and the Calcutta Stock Exchange (CSE) are the three
large stock exchanges of Indian Stock Market. The stock market is an aggregation of
investor sentiment that affects daily changes in stock prices. Investor sentiment
remained a mystery and challenge over time, inviting researchers to comprehend the
market trends. The entry of behavioral scientists in and around the 1980s brought in
the market trading's human dimensions. Shortly after that, due to the digitization of
exchanges, the mix of traders changed as institutional traders started using algorithmic
trading (AT) on computers. Nevertheless, the effects of investor sentiment did not
disappear and continued to intrigue market researchers. Though market sentiment
plays a significant role in timing investment decisions, classical finance models
largely ignored the role of investor sentiment in asset pricing. It is derived from the
study that although some positive steps have been taken up, which are responsible for
the substantial improvement of the Indian stock market, these are perhaps not
sufficient enough to become a matured one and hence not integrated with the
developed stock markets so far. Keywords: unit roots test, integration, Vector Auto
regression Model, Variance Decomposition, Impulse Response Function.
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