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Forms of Market Efficiency - Essay Example

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"Forms of Market Efficiency" paper argues that if all members were to have faith that the market is efficient, no investor would claim superior profits, which is the course that keeps the stock market in place. In the period of information technology, stock markets are acquiring higher efficiency…
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Forms of Market Efficiency
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?MARKET EFFICIENCY of Forms of Market Efficiency Market efficiency as put forth by Fama (1970; p. 57) proposes that any given moment stock prices totally replicates all the information accessible on a given market or securities. therefore according to the efficiency market hypothesis, there is no investor who has any form of advantage in foretelling the expected return on the security prices since there is no investor who has access to the public information or private information that is not yet available to any other investor. There are various forms or degrees of market efficiency which exists. These comprise of strong market efficiency, semi-strong market efficiency and the weak form market efficiency (Ho & Yi, 2004; p. 57). Acknowledging the efficient market hypothesis in its simplest and purest form might be hard; nevertheless there are three main types of efficient market hypothesis which have the purpose of reflecting the extent to which it can be used in the security markets. First is the strong-form efficiency which is the strongest form and it states that all information and facts in the market, whether in the public or private hands is incorporated in the stock prices. There is no insider information that might grant the investor an extra advantage (Cataldo, 2003, p. 27). Secondly, there is the semi-strong efficiency form of efficient market hypothesis. This asserts that all public information present in the market is used in the derivation of the stock’s present price. In this form of efficiency fundamental and technical analysis cannot be applied to achieve better profits for the investor. Lastly, there is the weak form efficiency which alleges that all historical prices of a security are replicated in the current stock’s price. Thus, technical analysis cannot be of any use in predicting the future stock’s price and eventually beating the market (Basse & Bassen, 2010; p. 51). Part II Evaluation of the Market Efficiency The nature and type of information is not required to be constrained to financial news and studies only. As a matter of fact political news economic news and news regarding social events merged with the way the investors incorporate such information, whether it might be true or mere rumors, will be replicated in the securities prices. According to the theory of the efficient as prices react to similar information there is no investor who will be in a position to earn superior profits over the other. This kind of observation is seen in strong form efficiency where all available public information is incorporated in the stock’s price (Zhang, 2008; p. 66). Using the random Walk theory asserts that in any efficient market, prices normally become unpredictable such that they are random. In this respect, there is no investment trend that can be detected in such a manner that any predetermined approach to investing in the stock might not be that profitable. This type of ‘Random Walk of stock’s prices described in the school of thought of the efficient market hypothesis might lead into a failure of any form of investment plan that has the main objective of beating the market regularly (Moyer, Mcguigan, & Kretlow, 2009; p. 48). As a matter of fact the theory proposes that any transaction cost incurred in the management of portfolio might be more successful for an investor to place his or her money into index funds (Bauwens & Giot, 2001; p. 49). Evidence against the Efficient Market Hypothesis (EMH) There are some anomalies within the market that cannot allow an investor to use the historical prices, private information or public information to obtain abnormal profits. In an actual market of investment, arguments against the Efficiency market hypothesis. Some authors claim that there are investors who have beaten the market and obtained abnormal profits (Graham, Smart & Megginson, 2010; p. 359). A point of focus is especially on the argument that there are sometimes stocks in the market which have been undervalued and consequently gave investor abnormal profits. There are managers of various portfolios who have good track records compared to others and there also investment firms with more efficient study assessment than other firms. A question is cast on the proponents of the EMH theory concerning the validity of a random walk theory when there are many investors and investment firms beating the market and harvesting abnormal profits from the stock’s market (Besley & Brigham, 2008; p. 31). Moreover, arguments against the EMH also allege that regular trends in the profitability in the discrepancies caused by the stock’s market. Some specific evidences have been provided concerning the prediction of the anomalies lodged against the EMH theory. One of the evidence is the January effect which is a pattern that exhibits abnormal returns pattern to be obtained in the initial month of the year. Besides, investors are normally discouraged from buying stock’s on Friday afternoon and Monday morning in the entire week due to the weekend effect (Harder, 2010; p. 73). This is because the security prices have a normality to be high on the day prior and after the weekend in course of the week. In this respect the proprietors against the EMH theory claim that according to the behavioral finance the insight into the psychology and behavior of investor in regard to the security prices show that some estimable trend exists in the security market. Investors have a tendency to purchase stocks that have been undervalued and sell the securities that are overvalued and in an environment where many members are present the outcome are normally efficient. This outcome is that the security prices eventually disrupted and the market end up being inefficient. In this manner the prices can no longer be reflected all accessible information in the market. On the contrary the prices are actually manipulated by the profit seekers (Sarno & Taylor, 2005; p. 81). The Response by the proponents of the EMH theory The fact that there are probabilities of market anomalies that consequently lead into the accumulation of abnormal profits is not actually ignored by the proponents of EMH. As a mater f fact, the market efficiency does not necessitate stock’s prices to be in equilibrium with the fair value at all period. Security Prices might be under-valued r overvalued exceptionally in the random occurrences, in this respect they ultimately reverse back to their optimal value in the market (Kevin, 2006; p. 124). In this Perspective the rationality in the variations from the security’s optimal prices are in fact random, thus investment tactics that lead into beating of the market and obtaining abnormal profits might not be in itself a normal occurrence. Moreover, the theory claims that an investor who beats the market performs in this manner not out of expertise but out of mere luck or chance. The proponents of this theory claim this is because of the probability laws: that at any given moment in the security market with many investors; some of the investors will outdo the market whilst others will remain optimal (Bruetsch, 2009; p. 91). Following the provisions under the weak form efficiency that all stock’s prices replicate all historical information, a one on one implication behind this is that analyzing the past security prices in an effort to foretell the potential prices is fruitless. Thus the empirical examination with an aim of verifying the dependability of the weak form of the EMH and the existence of evidence to propose that future prices of stocks are in any manner connected to the historical performance of the stocks in the market. so much analysis of the weak form efficiency have been exhibited through the study of the Random Walk where a considerable literature gives evidence in regard to the EMH. Kendall (1953; p. 121) conducted a serial correlation examination on security prices taken on Tuesday from the indices of British Industrial shares. Among the indices 15/19 of them were autonomous series while three were optimal series within the autonomous series and the other one was an average of the entire series. He established that no significant evidence existed to propose that prices are closely related from one week to another. However, he discovered that there was little evidence to suggest serial correlation for particular industries existed though it was trifling. Thus one could define the prices as ‘wandering from week to week’ which gave profound evidence to propose that weak form does hold. There are other studies such as the Filter test, which give a test for the weak form efficiency as conducted by Alexander (1961; p. 41) and Fama and Blume (1966; p. 226). In their study, they considered the filter rule in case the stock’s prices go up by say x% an investor would purchase or hold unto the shares until the share price would grow high above x%. At this point the investor would then sell the shares and gain profit. The investor would remain the short level until the prices also rise above x % above a particular low at which state he would then cover the short position and buy again. The investor ignores position where the prices change less than x % in whichever direction. If the outcome were to totally coincide with the proposition of weak form efficiency it would be deduced that in a time period for a x % filter gains yielded must be equivalent to zero where in this scenario there would be benefits at other scenarios there would be random series. Nonetheless, the scholars did not take into account the commissions involved given that it was established that optimal filters resulted into lesser profits while the small filters resulted into huge profits. Thus the commissions minimize the profits causing huge profits. it is evident that the investors applying the filter rule were not in a superior position by implementing the buy and hold policy. Shifting the attention to semi-strong form efficiency the empirical evidence that exist have been executed with an aim of testing if the semi-strong form of efficiency holds in EMH. as its states that the stock’s prices totally replicate all the public information available implying that fundamental and technical analysis might not be useless. In testing the semi-strong market efficiency event studies is very helpful. For example, release of quarterly reports and evaluation of the information quickly incorporates into the price of the securities. A study conducted by Fama, Fisher, Jensen and Roll (1969; p.17) included an analysis of the prices of stock split for a stock exchange in New York comprised of over 940 stock splits being declared. It was established the prices of securities have a tendency to totally replicate the impact of the stock splits and the prices tend to go high was essentially a sign for dividend increase in the near future. This supports the semi-strong form of EMH. The same was found to hold for declaration of mergers and acquisitions. In conclusion, there is much evidence that propose that for every dimension of the empirical support there is more proof to propose that strong form of the efficient market hypothesis does not hold. Conversely, the evidence that support both semi-strong and the weak form efficiency over weigh the proof against such that anyone might come to a conclusion that they are supported while the semi strong form is broadly refuted. The Process in Which the Market Become Efficient For the market to be completely efficiently, the investors in the stock market must have a perception that a market is not efficient and possible to outperform. Sarcastically, the investment strategies purported to outperform the current inefficiencies are indeed the triggers that maintains the efficiency of the market. A market has to be big enough and solvent (Palan, 2007; p. 117). Besides the information available has to be publicly accessible and costly effective thus released to the investors all at the same time interval. The cost of transaction must be more affordable in comparison to the anticipated profits of an investment plan. The investors on the other hand must have enough capital for investment to outperform the inefficiency till, in line with the EMH, it goes away again (Schlichting, 2009; p. 59). Most significantly, an investor has to have faith that he or she can out beat the stock’s market. The weak form efficiency is normally refuted by the technical analysis which bases on the historical record of the stock’s market. As the evidence from the research track records of the technical analysis give reasons to refute the weak form efficiency some investor might luckily use the information to get abnormal returns (Schlichting, 2009; p. 47). In addition, there also some investors who have managed to use the statistical arbitrage methods to get abnormal profits. On the contrary only a smaller section of the real trade successfully make huge profits, so the variations from the efficiency in the market an optimally small and costly to go about. Conversely, the semi-strong efficient market theory is potentially very near to being a reality, but not at all time’s right (Ehrhardt & Brigham, 2011; p. 24). The investors who outperform the market might be because the investors had better access to information as to efficient evaluation of the information that is publicly available. As for the case of the strong efficiency, the insiders in any firm trading securities might make profits in most circumstances where trading occurs before the release of the public information which are sensitive to the stock’s price (Arouri, Jawadi & Nguyen, 2010; p. 57). The stock’s price might shift considerably on the release of the price sensitive information. Thus the privately available information in this respect is not totally replicated in the stock’s price (Barnes, 2009; p. 36). To wrap up this discussion, the propagandists of EMH will claim that those seeking profits will normally take advantage of any information that does not normally exist until it is no longer in existence. In circumstances of January effect where the predictable trends of the shift in prices, large costs of transactions will ore likely outdo the profits of making attempts to outperform such trends. In the real world, the stock’s markets cannot indeed or entirely be inefficient. It might be able to be appropriate to view the stock’s market as fundamentally a blend of both; where as in daily occurrences and phenomenon cannot often be replicated instantly into the current market (Kratz, 1999; p. 137). If all members were to have faith that the market is efficient, no investor would claim superior profits, which is the course that keeps the stock’s market in place. In the period of information technology, nonetheless, stock’s markets globally are acquiring higher efficiency. Information technology gives more room for a greater efficiency and for the information to quickly be disseminated to other investors. IT trading gives room for the stock’s price to realign immediately to the information entering the market, nevertheless, while the speed at which information is received and makes the transactions much faster (Ruppert, 2004; p. 93). The world of IT limits the time taken in case the superiority of the information used no longer permits accumulation of decisions that will result into superior profits. Bibliography Alexander, S. (1961): "Price Movements in Speculative Markets: Trends or Random Walks," Industrial Management Review, 2, pp. 7-26. Arouri, M., Jawadi, F and Nguyen, D. K 2010, The Dynamics of Emerging Stock Markets: Empirical assessments and implications. Heidelberg, Physical. Barnes, P 2009, Stock market efficiency, insider dealing and market abuse. Farnham, England, Gower. Basse Mama, H and Bassen, A 2010, Information dissemination, market efficiency and the joint test issue. Norderstedt, Books on Demand. Bauwens, L and Giot, P 2001, Econometric modeling of stock market intraday activity. Boston [u.a.], Kluwer Acad. Publication. Besley, S., & Brigham, E 2008, Principles of finance. Mason, Ohio, South-Western. Bruetsch, M 2009, From Capital Market Efficiency to Behavioral Finance. Mu?nchen, GRIN Verlag GmbH. http://nbn-resolving.de/urn:nbn:de:101:1-2010081215709 Cataldo, A. J 2003, Information asymmetry: A unifying concept for financial & managerial accounting theories; (Including Illustrative Case Studies). Amsterdam [u.a.], Elsevier JAI. Ehrhardt, M and Brigham, E 2011, Financial management: Theory and practice. Mason, South-Western Cengage Learning. Fama, E. and M. Blume (1966), Filter Rules and Stock Market Trading Profits, Journal of Business, 39, 226-241. Fama, E., L. Fisher, M. Jensen, and R. Roll, 1969, “The Adjustment of Stock Prices to New Information.” International Economics Review 10, 1-21. Fama, Eugene F 1970, "Random Walks in Stock Market Prices". Financial Analysts Journal, 21 (5): 55–59 Graham, J. R., Smart, S. B., & Megginson, W. L. (2010). Corporate finance: [linking theory to what companies do. Mason, OH, South-Western Cengage Learning. Harder, S 2010, The Efficient Market Hypothesis and its Application to Stock Markets. Mu?nchen, GRIN Verlag GmbH. http://nbn-resolving.de/urn:nbn:de:101:1-20101117812 Ho, T. S. Y., & Yi, S.-B 2004, The Oxford guide to financial modeling: applications for capital markets, corporate finance, risk management and financial institutions. New York, Oxford University Press. Kendall, M.G., (1953), The analysis of economic Time series, Part I: Prices,” Journal of the royal statistical society, Vol. 96, pp. 11-25. Kevin, S 2006, Portfolio management. New Delhi, Prentice-Hall of India. Kratz, O. S 1999, Frontier emerging equity markets securities price behavior and valuation. Boston [u.a.], Kluwer. Moyer, R. C., Mcguigan, J. R., & Kretlow, W. J 2009, Contemporary financial management. Mason, OH, South-Western/Cengage Learning. Palan, S 2007, The efficient market hypothesis and its validity in today's markets. Mu?nchen, GRIN Verlag. Ruppert, D 2004, Statistics and finance: an introduction. New York, NY [u.a.], Springer. Sarno, L., & Taylor, M. P. (2005). The economics of exchange rates. Cambridge [u.a.], Cambridge University Press. Schlichting, T. (2009). Fundamental Analysis, Behavioral Finance and Technical Analysis on the Stock Market Theoretical Concepts and Their Practical Synthesis Capabilities. Mu?nchen, GRIN Verlag GmbH. http://nbn-resolving.de/urn:nbn:de:101:1-20100910391. Zhang, J. (2008). Market efficiency test in the VIX futures market. Laramie, Wyo, University of Wyoming. http://proquest.umi.com/pqdweb?did=1798967041&sid=1&Fmt=2&clientId=1894 &RQT=309&VName=PQD. Read More
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