A study on efficient market hypothesis in it consulting and software sector in Indian stock market

2019 ◽  
Vol 8 (12) ◽  
pp. 27
Author(s):  
C. Nateson ◽  
P. Renukadevi
Keyword(s):  
Stock Market ◽  
Efficient Market Hypothesis ◽  
Efficient Market ◽  
Indian Stock Market

Non-Linearity and Chaotic Behaviour in Cyprus Stock Market

2015 ◽  
Vol 5 (4) ◽  
Author(s):  
Athina Bougioukou
Keyword(s):  
Lyapunov Exponent ◽  
Stock Market ◽  
Chaos Theory ◽  
Linear Dependence ◽  
Chaotic Behavior ◽  
Efficient Market Hypothesis ◽  
Chaotic Behaviour ◽  
Maximum Lyapunov Exponent ◽  
Efficient Market ◽  
General Index

The intention of this research is to investigate the aspect of non-linearity and chaotic behavior of the Cyprus stock market. For this purpose, we use non-linearity and chaos theory. We perform BDS, Hinich-Bispectral tests and compute Lyapunov exponent of the Cyprus General index. The results show that existence of non-linear dependence and chaotic features as the maximum Lyapunov exponent was found to be positive. This study is important because chaos and efficient market hypothesis are mutually exclusive aspects. The efficient market hypothesis which requires returns to be independent and identically distributed (i.i.d.) cannot be accepted.

scholarly journals An Empirical Analysis of the Efficient Market Hypothesis in China’s Stock Market

2021 ◽  
Vol 4 (3) ◽  
pp. 1-5
Author(s):  
Jiaxuan Xu
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Empirical Research ◽  
Empirical Analysis ◽  
Stock Prices ◽  
Efficient Market Hypothesis ◽  
Security Market ◽  
Stock Trading ◽  
Efficient Market ◽  
Basic Framework

The efficient market hypothesis is one of the most important theories in finance. According to this hypothesis, in a stock market with sound laws, good functions, high transparencies, and extensive competitions, all valuable information is timely, accurately, and fully reflected in the trend of stock prices including the current and future values of enterprises. Unless there are market manipulations, it would be impossible for investors to gain more above the average profits in the market by analyzing former prices. Since the efficient market hypothesis has been introduced, it has become an interest in the empirical research of the security market. It is one of the most controversial investment theories and there are many evidences supporting and also opposing this hypothesis. Nevertheless, this hypothesis still holds an important status in the basic framework of mainstream theories in modern financial markets. By analyzing simulated investment transactions in regard to stock trading of three different enterprises, this paper verified that the efficient market hypothesis is partially valid.

scholarly journals Efficient Market Hypotheses Controversy and Nigerian Stock Exchange Relations

2020 ◽  
pp. 1-13
Keyword(s):  
Stock Market ◽  
Stock Price ◽  
Stock Exchange ◽  
Unit Root Test ◽  
General Meeting ◽  
Weak Form ◽  
Efficient Market Hypothesis ◽  
Annual Data ◽  
Efficient Market ◽  
Price Series

This study; Nigerian Stock Exchange and Efficient Market Hypothesis was done using All Share Index (ASI) with daily data from January 02, 2014 to May 20, 2019 (1333 observations) and annual data from 1985 to 2018 (34 observations) collected from the Nigeria Stock Market fact books. The study employed three analytical methods namely the unit root test, GARCH Model and the Autocorrelation cum patial autocorrelation method for the assessment of weak form hypothesis on the daily and annual all share index in the Nigerian Stock market. The results of these evaluations indicated a significant relationship between the price series and their lagged values implying that stock price series do not follow a random walk process in Nigerian stock market. Thus, affirming that the Nigeria Stock Exchange is not efficient in weak form. In the light of this, the researchers recommend that the supervisory and regulatory authorities should strengthen the Nigerian Stock Market through palliating its regulations pertaining to transparency of information management rules such as market barriers and stringent listing requirement, publication of accounts, notices of annual general meeting and the like.

scholarly journals The Disappearing Calendar Anomalies in the Singapore Stock Market

2006 ◽  
Vol 11 (2) ◽  
pp. 123-139 ◽  
Author(s):  
Wing-Keung Wong ◽  
Aman Agarwal ◽  
Nee-Tat Wong
Keyword(s):  
Stock Market ◽  
Efficient Market Hypothesis ◽  
Stock Index ◽  
January Effect ◽  
Trading Behavior ◽  
Recent Period ◽  
Efficient Market ◽  
Day Of The Week ◽  
Calendar Anomalies ◽  
Stock Index Returns

This paper investigates the calendar anomalies in the Singapore stock market over the recent period from 1993-2005. Specifically, changes in stock index returns are examined surrounding January (the January effect), on different days of the week (the day-of-the-week effect), around the turn of the month (the turn-of-the-month effect) and before holidays (the pre-holiday effect). The findings reveal that these anomalies have largely disappeared from the Singapore stock market in recent years. The disappearance of these anomalies has important implications for the efficient market hypothesis and the trading behavior of investors.

scholarly journals Efficient Market Hypothesis And Stock Market Anomalies: Empirical Evidence In Four European Countries

2018 ◽  
Vol 34 (1) ◽  
pp. 183-192 ◽  
Author(s):  
Matteo Rossi ◽  
Ardi Gunardi
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Efficient Market Hypothesis ◽  
Efficient Market ◽  
Market Anomalies ◽  
Equity Prices ◽  
Company Value ◽  
Calendar Anomalies ◽  
The Garch Model ◽  
New Millennium

The stock market efficiency is the idea that equity prices of listed companies reveal all the data regarding the company value (Fama, 1965). In this way, there isn’t possible to make additional returns. However, evidence against the Efficient Market Hypothesis is growing. Researchers studied Calendar Anomalies (CAs) that characterised financial markets. These CAs contradict the efficient hypothesis. This research studies some of the most important market anomalies in France, Germany, Italy and Spain stock exchange indexes in the first decade of new millennium (2001-2010). In this study, to verify the distribution of the returns and their auto correlation, we use statistical methods: the GARCH model and the OLS regression. The analysis doesn’t show strong proof of comprehensive Calendar Anomalies. Some of these effects are country-specific. Furthermore, these country-anomalies are instable in the first decade of new millennium, and this result demonstrates some doubt on the significance of CAs.

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