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Challenging the efficient market hypothesis
Challenging the efficient market hypothesis
Efficient market hypothesis in the real world
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‘The stock market’s movements are generally consistent with rational behaviour by investors. There is no need to invoke fads, animal spirits, or irrational exuberance to understand the movements of the market.’ Discuss in relation to the information technology bubble and its collapse.
Introduction
In a perfectly efficient market, it is assumed that all investors have access to all available information of future stock prices, dividend payoffs, inflation rates, interest rates and all other economic factors that affect the present prices of stocks. All investors are perfectly rational and choose to invest in stocks which will have a positive payoff. Therefore, all financial assets must always be priced correctly. Any apparent deviations from the correct pricing for stocks, according to the efficient market theory, must be an illusion, and no gains can be made from arbitrage. In short, all stock prices should reflect genuine and fundamental information about the value of the stock in question. There would be no need to explain changes in price by invoking fads, animal spirits and irrational exuberance.
By this theory, stock prices corrected for a time trend should follow a random walk through time, as any changes are only due to new information, which by definition cannot be predicted in previous periods.
Most empirical studies using data on a stock market to test whether stock prices follow a random walk has been statistically rejected. Also, from a non-specialist point of view, it is easy to find examples in history where stock prices seemed not to have followed a random walk, the dotcom boom of the late 90s being an often-quoted example.
The idea of an efficient market is very natural. From observation, it doesn’t seem easy to make lots of money by buying low and selling high, just as many investors fail on the stock market as succeed. If certain ‘smart’ investors can find ways to make profits on the stock market by buying low and selling high, then, according to theory, they will drive asset prices to their true values; by buying under-priced assets they will drive up those prices, by selling over-priced assets they will drive down those prices. Also, if there were substantial mispricing of assets, the ‘smart’ investors should make ...
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Irrational Exuberance and the Dotcom Bubble
It is almost impossible to distil the factors that contributed to the dotcom bubble. I think there at least some of the causes must originate from a rational framework, but I also think that they alone are not convincing enough; one has to invoke some irrational exuberance in order to explain the bullish stock market during the late 90s.
Psychological experience shows that there are patterns of behaviour in the stock market which cannot be contributed to ignorance, but which nevertheless cannot be classed as rational behaviour. People tend to use past prices as anchors for predicting present prices, so when certain shares are seen as valuable, people tend to regard them as increasing in value. This obviously creates a feedback loop, leading to the bubbles. Also, herd behaviour can dictate how an individual will react. People tend to follow their contemporaries, because we all find it difficult to doubt something in which many others believe. Again, this creates the feedback loop that can lead to speculative bubbles.
The stock market expanded rapidly during the period of 1921-1929. At this time investors were optimistic about the stock market, so they traded stocks, which caused the stock prices to rise. The stock market boom led to asset prices rising at a fast pace. Which in turn outweighed the true value of the assets. Eventually, since the stock market did not reflect the true value of the stock, this led to a huge bubble followed by a crash. This crash is also known as the Great Depression that led to a severe economic crisis in the United States.
It made benchmark interest rate remains low. Then the excess liquidity made the asset bubble. Finally, the burst of asset bubble thumped the financial system. (Pierpaolo,B and Woodford,M, 2003)
The stock market crash of 1929 is the primary event that led to the collapse of stability in the nation and ultimately paved the road to the Great Depression. The crash was a wide range of causes that varied throughout the prosperous times of the 1920’s. There were consumers buying on margin, too much faith in businesses and government, and most felt there were large expansions in the stock market. Because of all these...
In early 1928 the Dow Jones Average went from a low of 191 early in the year, to a high of 300 in December of 1928 and peaked at 381 in September of 1929. (1929…) It was anticipated that the increases in earnings and dividends would continue. (1929…) The price to earnings ratings rose from 10 to 12 to 20 and higher for the market’s favorite stocks. (1929…) Observers believed that stock market prices in the first 6 months of 1929 were high, while others saw them to be cheap. (1929…) On October 3rd, the Dow Jones Average began to drop, declining through the week of October 14th. (1929…)
Post the era of World War I, of all the countries it was only USA which was in win win situation. Both during and post war times, US economy has seen a boom in their income with massive trade between Europe and Germany. As a result, the 1920’s turned out to be a prosperous decade for Americans and this led to birth of mass investments in stock markets. With increased income after the war, a lot of investors purchased stocks on margins and with US Stock Exchange going manifold from 1921 to 1929, investors earned hefty returns during this time epriod which created a stock market bubble in USA. However, in order to stop increasing prices of Stock, the Federal Reserve raised the interest rate sof loanabel funds which depressed the interest sensitive spending in many industries and as a result a record fall in stocks of these companies were seen and ultimately the stock bubble was finally burst. The fall was so dramatic that stock prices were even below the margins which investors had deposited with their brokers. As a reuslt, not only investor but even the brokerage firms went insolvent. Withing 2 days of 15-16 th October, Dow Jones fell by 33% and the event was referred to Great Crash of 1929. Thus with investors going insolvent, a major shock was seen in American aggregate demand. Consumer Purchase of durable goods and business investment fell sharply after the stock market crash. As a result, businesses experienced stock piling of their inventories and real output fell rapidly in 1929 and throughout 1930 in United States.
The Stock Market Crash marked a major turning point in the history of the United States. For decades the U.S. was the world’s leading superpower, but after the crash the country cascaded into the worlds most harsh depression. This crash was caused by a series of problems in the U.S. including, the over production of goods, unequal distribution of wealth and poor regulation of the stock market itself. Many can argue that the crash of 1929, strengthened the nation, allowing for policies such as roosevelt's first new deal, second new deal, the glass steagall banking act, and new regulations in the stock market, and for big business (Blumenthal, Karen). However, what can’t be argued is how the crash sparked a panic as companies, peoples, and the nation sank into the great depression.
The stock themselves have no fixed value as in a action block if the stock is in demand the price goes up, no demand the price goes down. For almost eight straight years stocks had been rising by 1929 their seem to be no upper limits in this world of paper, numbers and dreams. For example it was a arena of unbound opportunity where some one like my great grand father could come in the arena of the stock exchange a make a fortune. So many people made so much money people thought they could never go wrong buying stock in America companies. This was a whole new way to make a fortune Unlike the Rockefellers and Carnegies of previous decades who built steel mills and dig oil wells.
The ideas of using a Brownian Motion process to explain the behavior of the risky asset prices were presented by Black-Scholes. Brownian Motion is usually used to model a stock price. However, Brownian Motion process has the independent increments property. This means that the present price must not affect the future price. In fact, the present stock price may influence the price at some time in the future. Hence, Brownian Motion process is not suitable to explain the stock price. Another process, a fractional Brownian Motion process, exhibits a long range dependent property. Therefore, a fractional Brownian Motion process can be used to describe the behavior of stock price instead of Brownian Motion process. The rate of return and volatility in general asset pricing model are usually the constant parameters\cite{HJX-2014}. Actually, the rate of return and volatility in the model are not constant at any time. These parameters are updated depending on time by using the new
] This catastrophic event is caused by the accumulation of a large scale of speculation by not only investors but also banks and institutions in the stock market. Though the unemployment rate was climbing during the 1920s and economy was not looking good, people on Wall Street were not affected by the depressing news. The optimism spread from Wall Street to small investors and they were investing with the money they don’t have, which is investing on margin as high as 90%. When the speculative bubble burst, people lost everything including houses and pensions. The main reason ...
Efficient market hypothesis was developed by professor Eugene Fama at the University of Chicago Booth School Of Business as an academic concept of study through his published Ph.D. thesis in the early 1960s . Fama proposed two crucial concepts that have defined the conversation on efficient markets in his thesis. The efficient market hypothesis was the prominent theory in the 1960s, Fama published dissertation arguing for the random walk hypothesis to support his efficient market theory. “Fama demonstrated that the notion of market efficiency ...
...phases. Fabozzi and Francis (1977) conducted a study testing the differential effect of bull and bear market conditions for 700 individual securities listed on the NYSE. It was found that the estimated betas of most of the securities were stable in both market conditions. However, Ray (2010) conducted a similar study over a period of ten years using monthly returns of 30 stocks. The results obtained were both mixed and inconclusive. Bowie and Bradford (1997) found that the tests of beta stability are difficult to interpret on their own. Gombola and Kahl (1990) suggest that an OLS estimate of beta requires an estimation period during which the relationship between the market return and the stock return remain stable. However, without this stability, an alternative for forecasting a time-varying relationship such as the Bayesian adjustment process will be required.
Chapter 11 closes our discussion with several insights into the efficient market theory. There have been many attempts to discredit the random walk theory, but none of the theories hold against empirical evidence. Any pattern that is noticed by investors will disappear as investors try to exploit it and the valuation methods of growth rate are far too difficult to predict. As we said before the random walk concludes that no patterns exist in the market, pricing is accurate and all information available is already incorporated into the stock price. Therefore the market is efficient. Even if errors do occur in short-run pricing, they will correct themselves in the long run. The random walk suggest that short-term prices cannot be predicted and to buy stocks for the long run. Malkiel concludes the best way to consistently be profitable is to buy and hold a broad based market index fund. As the market rises so will the investors returns since historically the market continues to rise as a whole.
In turn everything in the present and the future is judged through the stocks as they hold a high importance in industrialized economies showing the healthiness of said countries economy. As investing discourages consumer spending over all decreases, it lead...
The stock market is an essential part of a free-market economy, such as America’s. This is because it provides companies the capital they need in exchange for giving away small parts of ownership in their company to investors. The stock market works by letting different companies sell stocks to gain capital, meaning they sell shares of their company through an exchange system in order to make more money. Stocks represent a small amount of ownership in a company. The more stocks a person owns, the more ownership they have of that company. Stocks also represent shares in a company, which are equal parts in which the company’s capital is divided, entitling a shareholder to a portion of the company’s profits. Lastly, all of the buying and selling of stocks happens at an exchange. An exchange is a system or market in which stocks can be bought and sold within or between countries. All of these aspects together create the stock market.
However, the long-term future cannot be predicted due to the same reasons as weather can only be predicted only three weeks into the future. The stock market is a nonlinear dynamical system as it contains positive and negative feedback. Positive feedback such as when you make a profit after investing in the stock market causes people to again invest money into the stock market leading to more buying which raises price. Highly complex systems are not always chaotic instead they will behave predictably for a certain period and then seemingly randomly ill shift into chaotic behaviour. These types of systems can be mapped using simple chaotic systems which often exhibit patterns called strange attractors which demonstrate the system jumping into different modes of behaviour. The chaos in stock markets are caused due to the human psychology of trading which is never completely rational due to many outside factors. By analysing the statistical data, it is possible to find fractal which are infinitely complex patterns that are self-similar across different scales. These fractals are created by repeating straightforward process over and over in an ongoing loop and due to the simplicity of the fractals they can be used to predict the short-term future. The long-term prediction is practically impossible just like weather due to similar reasons as well. The butterfly effect means that variables that seemingly have a very minute effect on the overall outcome of the stock market slowly have an increased amount of effect in the outcome. Therefore, the short-term future of the stock market can be predicted using the Lorenz attractors and fractals however the lack of information causes long term predictions to be practically