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The January Effect A Test Of Market Efficiency

The January Effect A Test Of Market Efficiency. Considering the current level of interest Testing the efficient market hypothesis on the nairobi securities exchange.

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Considering the current level of interest If any anomalies appear to be persistent, this suggests the market is not completely efficient. This effect has been shown to persist consistently over the years.

A Test Of Market Efficiency Abstract The Purpose Of This Study Is To Test The Weak Form Efficient Market Hypothesis By Analyzing The Effects Of Year End Selling/Buying And The January Effect On Stock Price.


Efficient market theory has been subject to close scrutiny in the academic finance literature, which has attempted to test and validate the theory. Longwood university bacon, frank w. Marrett, g., & worthington, a.

Ahsan And Sarkar (2013) Reported That.


Longwood university abstract the purpose of this study is to test the weak form efficient market hypothesis by analyzing the effects of year end selling and the january effect on stock price. January effect and the other anomalies in the stock market, its presence violates the efficient market hypothesis witnessing the presence of inefficiency, irregularities in the stock market. Journal of banking & finance, 2010.

If This Anomaly Is Exploitable And If The Stock Market Is Reasonably Efficient, One Would Expect That Opportunity Would Have Been Priced Away By Now.


Efficient market hypothesis (emh) and it contradicts the efficient market hypothesis. Tests of the efficient market hypothesis weak form. For this reason, markets in developed countries have been able to attract greater attention from global investors.

5) Notes “Supposedly, The January Barometer Works Like This:


Evidence indicates, however, that the january effect is still going Does the other january effect have market timing ability? The paper aims to test the efficient market hypothesis (in terms of the presence or not of the ‘january effect’) in the financial markets in the region by using daily data of regional stock market indexes.

Stock Market Anomalies, Or Any Predictable Patterns For High Or Low Stock Prices, Therefore, Should Not Exist.


The year known as the ‘january effect’ (balaban, 1995). You will be redirected to the full text document in the repository in a few seconds, if not click here. However , the january effect may be the tax effect , as investors may have sold stocks with losses in december for tax purposes and reinvested in january.

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