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Fundamental analysis vs technical analysis
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Chapter 1
Introduction
1.1 Introduction to Stock Prediction
Stock market prediction means predicting the values of stock in near future. It helps in making the decision regarding whether to buy the stock or not. Several approaches have been tried out to predict the stock values of any listed company. Prediction methodologies fall into three broad categories [4]
1) Fundamental Analysis.
2) Technical Analysis.
3) Technological methods.
Fundamental Analysts are concerned with the company that underlies the stock itself. They evaluate a company's past performance as well as the credibility of its accounts. Many performance ratios are created that aid the fundamental analyst with assessing the validity of a stock, such as the P/E ratio.
Technical analysts or chartists are not
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A stock is a type of financial asset that denotes part ownership on the assets and profits of a company. It also entitles the owner of the stock to receive dividends if the company chooses to pay some of their Profits to the shareholders. Typically, ownership of a stock also gives the investor a right to vote on corporate decisions at shareholder meetings. This exchange takes place through Stock Exchange. Eg. BSE (Bombay Stock Exchange) in India.[iii]
1.3 Objectives
The objective of this project is to predict the trend in stock market and recommend to its user whether to buy the stock or hold it. After prediction we need to train the computer to do trading by itself on the basis of input provided by user. The input include how much growth user is expecting and the time bound/limit. This can also be used in order to help predict best option portfolio to help or develop an options trading strategy to maximize returns.
1.4 Motivation
Many research papers have been written to help investors predict stock price as well as pick portfolio to maximize their returns. However, the there isn't much papers that exist for maximizing returns on stock options or predicting stock
After evalutating both the Black-Scholes Model and the Brownian Motion, we have come to know that the Black-Scholes Model is quite predictive as it gets close to the observed price. We found that with the Brownian motion it may take on negative values which results certain modelling prices to be frowned upon , hence making Black-Scholes Model more realistic. As we ventured in this study, we found that there is still more research to be done since many of the modern option models stems from the Black-Scholes model. Thus making the modern option pricing models more
Stock investment means you are purchasing a share of the company, therefore the company’s success determines the value of your investment. Buying stocks is not a difficult process; clarification of some important terminology and differentiation helps gives you the foundation to start investing.
“One of the very nice things about investing in the stock market is that you learn about all different aspects of the economy. It's your window into a very large world,” Ron Chernow once said. The stock market is undoubtedly an incredibly important economic feature, one that our modern world depends on. Indeed, the stock market is so integral to our life today that it can serve as a valuable tool where financial literacy is concerned. Two of the most important financial lessons that the stock market teaches are financial literacy terminology as well as a historical understanding of stock market institutions. The Stock Market Game simulation serves to teach these lessons in a secure environment, and
Choosing two profitable stocks amongst a myriad of potential alternatives is a daunting task to say the least. In order to narrow my choices from thousands to two, I examined several aspects of companies I was interested in. Among these were, company overview, alpha and beta ratings, price ratios, price charts, and company headlines. After evaluating this information, I chose Intuit INC (INTU) listed on the NASDAQ and Johnson and Johnson (JNJ) listed on the NYSE.
I have leant that ratio analysis offers better insight of a company’s financial position on the short-term and long-term basis. However, I would recommend that investor advice should be based on ratio analysis that considers ratios from several years. This will ensure that the investor is making an informed decision based on the company’s financial ratio performance trend.
We analyzed the market for two weeks to determine when the equity market would turn from a bearish to bullish market. Without a change in the market and a declining bond price, we decided to invest in equities according to our investment strategy, which brought us into the second phase of our portfolio. Therefore, at the beginning of February we bought shares in Sirius, Microsoft, Neon, Washington Mutual, and Nike. As assumed, the equity market continued to plummet decreasing the value of all our stocks except for our Gold Corporation stock.
Stock market prediction is the method of predicting the price of a company’s stock. It is believed that stock price is lead by random walk hypothesis. Random walk hypothesis states that stock market price matures randomly and hence can’t be predicted. Pesaran (2003) states that it is often argued that if stock markets are efficient then it should not be possible to predict stock returns. In fact, it is easily seen that stock market returns will be non-predictable only if market efficiency is combined with risk neutrality. On the other hand it is also been concluded that using variance ratio tests long horizon stock market returns can be predicted....
What are stocks? What even is the stock market? Questions like these are asked by people all the time, but what’s the best way to learn about stocks? Throughout the internet, there are hundreds of sites to learn and teach about how and why stocks are used. These superb websites give great information about all that the stock market has to
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.
The National Association of Securities Dealers Automated Quotations (NASDAQ) and the New York Stock Exchange (NYSE) are two of the largest and most known stock exchanges across the globe. Both of these stock exchanges handles and mediates the trade, sale, and purchasing of different stocks, bonds, and securities. While both of these stock exchanges have their own unique methods and forms of purchasing and selling stocks, they both serve the same purpose and function, which is a marketplace for the sales of stocks.
The first thing that is necessary to know before getting involved in the stock market is what exactly a stock is. Simply, a stock is part ownership of a corporation (“How Does the Stock Market Work?”). When someone buys a stock on Wall Street, they are buying a share in a company. This
HFT is one example of modern technological advances that exerts a great influence to the stock trading market. Some small and limited forms of algorithm trading with the use of mathematical and computerized formula for decision-making were being used by financial companies for decades. As time goes on, the size and scope of trading is expanding its area of business and is finding its way for public acceptance. In accordance to such expansion, the regulators and stock traders are expected to reconsider its potential consequences and prevent any manipulation or wrongdoings from occurring.
Technology is an important factor in investing activities. For example, stock trading is computer-based and can automatically execute the trading of large volumes of shares. This has become an extremely frequent activity on stock exchanges in our advanced world. Artificial intelligence is allowing humans to have a “cutting edge” by using computers when investing.
Investment managers often find themselves overwhelmed with the large amount of data obtained from the financial markets. Most of the data available is numeric and noisy in nature, making the decision-making process harder. These decisions usually rely on the integration of statistical measures that attempt to compress much of the data and qualitative depictions such as graphs and bar charts with news events and other pertinent information. Investment decisions usually involve non-linear relationships among the various components of the data. Computers in general, are very adept at dealing with large amounts of numeric information. However, some algorithms are crucial in analyzing and combining disparate information that can impact security prices. Artificial Intelligence based methods uses clever algorithms and rules of thumb (heuristics) in the decision-making process. Neural Network and expert systems applications have been successfully deployed in the domain of Finance, and in the area of investment management.
In the modern world, financial markets play a significant role, with huge volumes of everyday dealings. They form part of contemporary economic lifestyle and determine the level of success of many people. Humans have always been uncertain of what the future holds and thus, tried to forecast it. The forecast of course cannot omit the likelihood of “easy money” by forecasting the prices of equity markets in the future.