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Sunday, 20 October 2013

Testing Random Walk Hypothesis Volatility Crash BSE Project Report

Project Report on  Testing Random Walk Hypothesis and Study of Surge, Volatility and Crash at Bombay Stock Exchange (BSE)

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Testing Random Walk Hypothesis & Study of Surge, Volatility and Crash at Bombay Stock Exchange


Research Proposal on 

 Testing Random Walk Hypothesis & Study of Surge, Volatility and Crash at Bombay Stock Exchange
The bullish and bearish behaviour of financial markets are always in news. Wide price fluctuations are daily occurrence on the world's stock markets as investors react to economic, business, and political events. Recently, the markets have been showing extremely erratic movements, which are in no way as response to the information that is fed by the markets. Thus chaos prevails in the markets with investor optimism at unexpected levels. Thus irrational exuberance has substituted financial prudence. Further, Many economist in the past have argued on the concept of  Efficient Market Hypothesis with regards to different stock exchanges worldwide globally. This research will analyse these questions in the context of Bombay Stock Exchange, India. (http://129.3.20.41/eprints/fin/papers/0004/0004010.abs)

1.1 Background Information

In the world of Finance, Fama (1970) developed a theory called Efficient Market Hypothesis. Fama defines efficient market  in terms of ‘fair game’ where security prices ‘fully reflect’ the information available. He further explained the concept with its three main forms i.e. Weak form of market efficiency, Semi Strong form of market efficiency and Strong form of market efficiency.

In the Weak form of market efficiency, security prices reflect all past information about the prices movements. Therefore it will not be possible for investors to predict future security prices by analysing historical prices. One of the ways to find whether the capital market is efficient or otherwise is to find out the correlation between the securities prices over time. Most empirical tests have shown that there exists serial independence between the security prices over time. In a efficient capital market, the shares behave randomly and hence the weak from is referred to as the weak random walk hypothesis. Alternative method to test weak form is to formulate trading strategies using the security prices and compare their performance with the stock market performance. The capital market will be inefficient if the investor’s trading strategy beat the market. Many researchers have studied a large number of trading rules and have concluded that it is not possible for investors to outperform the market. (Pandey, 2006) This paper will test weak form of efficiency of Bombay Stock Exchange using serial correlation method.

In the Semi-strong form of market efficiency, the security prices reflect all publicly available information. This implies that an investor will not be able to outperform the market by analysing the existing company-related or other relevant information in, say, the annual accounts or financial dailies. Researchers in the past have employed event studies to study the semi strong form of the market efficiency. Event study can be earnings/dividends announcements, bonus issue, rights issue or change in accounting policies. To illustrate, a event study can be to study the speed with which the price of company share is adjusted to this information. (Pandey, 2006)

In Strong form of efficiency, the security prices reflect all published information and unpublished, public and private information. This is a strong assertion, and empirical studies have not borne out the validity of the efficient market hypothesis in the strong form of efficiency. People with private or inside information have been able to outperform the market. (Pandey, 2006)

However market inefficiencies have been found in most researched and regulated stock markets. This inefficiency exists in the form of Transaction cost, Information that is not freely available and differences among investors about the implications of given information. Some of the examples of market inefficiencies are quarterly earnings, weekend effect and small firm effect.
1.2 Research Title
With regards to the background information reviewed in detail, a research title is derived and is named as follows: “Testing Random Walk Hypothesis & Study of Surge, Volatility and Crash at Bombay Stock Exchange”

1.3 Aims and Objectives

 Aims

The performance of BSE is also been impressive. Its market capitalization was $2113.96 in 2000 which rouse to $ 8090.37 billion, a increase by 282.71 % in the span of 7 years. Its turnover has also increased from $121.40 billion in 2000 to $214.62 billion in 2006. Sensex, the benchmark index of BSE had a impressive surge from 3315.57 points in January, 1999 to 13884.78 points in December, 2006. But, at many times, Sensex has encountered shocking intra-day crash, such as one on 17th May,2004 where Sensex whopped down by 842 points which made thousands of investors loose their investment in matter of couple of hours. However, the crash were of not long term in nature but had a tremendous effect on the participants.

Thus the behaviour of BSE has motivated the author to find whether, if Bombay Stock Exchange is efficient

Objectives

The first objective of this research is to examine the literature related to Efficient Market Hypothesis
Secondly, to evaluate the performance of Bombay Stock Exchange and to detect recent developments that leads to create huge crash
Thirdly, to examine the reasons behind the surge, volatility and crash in share prices
Lastly, the main objective is to test the efficiency of Bombay Stock Exchange in term of Random Walkness using Serial Correlation method.

1.4 Research Methodology

 Both Qualitative and Quantitative methods have been used to perform research. Qualitative method is used to review the performance of BSE and its benchmark index Sensex in terms of market capitalisation and turnover and number of companies and scrips listed. Further, it is used to highlight the rationale behind the surge, volatility and crash at Bombay Stock Exchange. Quantitative method is used to find serial correlation between monthly returns of Sensex at BSE.

1.5 Chapter Layout of the study
The chapter layout of this research is as follows:
  1. Introduction
  2. Literature Review
  3. Research Methodology
  4. Case Study
  5. Findings and Conclusion
  6. Bibliography
The next chapter is Literature Review which will mainly highlight on past studies done on Efficient Market Hypothesis.

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