Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ International Journa...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
versions View all 1 versions
addClaim

Stock Market Volatility: Comparison Between Dhaka Stock Exchange and Chittagong Stock Exchange

Authors: Md. Ariful Islam;

Stock Market Volatility: Comparison Between Dhaka Stock Exchange and Chittagong Stock Exchange

Abstract

This paper is a comparison the volatility of price between Dhaka stock exchange (DSE) and Chittagong Stock Exchange (CSE). I did this study on volatility as a part of academic course of Research Methodology and Dissertation. The main objective of this study is to determine whether the markets are same volatile or not. Volatility is the most basic statistical measure. It can be used to measure the market risk of a single instrument or entire portfolio of investment. Investors, regulators, brokers, dealers and the media have all express concern over the level of stock market volatility. After market crash of 1996, individuals as well as corporate investors along with the regulators have become conscious about the volatility and felt importance of information regarding market to take good investment decision. This paper also discussed about the preliminary concept of volatility. For analysis of data I have consider only year 2004. Standard deviation, coefficient of Variation, F-test and monthly return is calculated. All the result shows the same picture. CSE is more volatile than DSE. The CSE30 and DSE20 also show the same result. Interesting finding is that general price is less volatile than CSE30 and DSE20. It implies that the top 20 and 30 securities influence the whole market. If the price of these securities increases, the price index increases. Ups and downs of the price of these securities in CSE is higher than that of DSE. Although investors are suffering from lack of information about the quality of securities, they take investment decision considering the general price index of two markets. Some time it may mislead the investor the differences of indexes of two markets. As the base of these two indices is different they can consider the percentage change in indexes and standard deviation of the indexes. Though the calculation is based on only the index one individual investor can calculate the return from individual security and then can take the portfolio investment decision. In this study individual securities are not considered as it would take massive calculating and data collection operation. Despite of these limitations it can easily be told that Chittagong Stock Exchange is more volatile than Dhaka Stock Exchange.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold