Studies of Stock Price Volatility Changes Fischer Black‚ Massachusetts Institute of Technology This article explains the analysis of Fischer Black on the volatility of underlying shares that flow in the cash market. Fischer Black also determines and explains how futures trading affect cash market volatility. Volatility may be described as a time series indicator which enables traders to quantify changes in market prices. Volatility can be characterized as historical or implied. Historical
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material- nearly a 20 percent reduction in income will result. If you can sell the inventory in a foreign market‚ legally‚ there will be no write-down and no income reduction. A reduction of that magnitude would substantially lower share market price‚ which in i=turn would lead your large your large‚ institutional shareholders to demand explanations and possibly seek changes in your company’s board of directors. In short‚ the write-down would set off a wave of events that would change the structure
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Open/Close Source Open and Close source operation system seem to be the same the perform the same task in what a pears to be the same way. Other than this there is very little they have in common from the rights that they are distributed under to how they are and who they are developed by. Open source refers to the software-industry tradition of developing and sharing source code and standards‚ and of encouraging collaborative development. Often aligned with hacker culture‚ open-source software
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Gold Price Volatility and Stock Market Returns in India P K Mishra Faculty in Economics‚ Siksha O Anusandhan University‚ Orissa‚ India E-mail: pkmishra1974@gmail.com J R Das Faculty in Management‚ Siksha O Anusandhan University‚ Orissa‚ India E-mail: j.35979@yahoo.co.in S K Mishra Faculty in Economics‚ TITE‚ Orissa‚ India E-mail: sk_mishra@yahoo.co.in Abstract The study of the capital market of a country in terms of a wide range of macroeconomic and financial variables has been the subject matter
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Worldview High Context and Low Context High Context vs. Low Context High-context is that “most of the information is either in the physical context or initialized in the person‚ while very little is in the coded‚ explicit‚ transmitted part of the message.” (Hall). Low-context communication is “the mass of information is vested in the explicit code”. (Hall) 2 High Context High context refers to societies or groups where people have close connections over a long period of time. Many aspects of
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Low‚ Sell High: It’s Important‚ But It’s Sometimes Tough To Do Buying a stock when its price is low and selling it when the price is high is the strategy that people who invest in the stock market like to perfect‚ but they do not always succeed. Sometimes people purchase at the high and are reluctant to sell as the stock price goes lower. This leads investors to lose a lot of money. Conversely‚ people may purchase their stocks when they are low as the price is rising‚ but not know when to sell.
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American Finance Association Equity Issues and Stock Price Dynamics Author(s): Deborah J. Lucas and Robert L. McDonald Source: The Journal of Finance‚ Vol. 45‚ No. 4 (Sep.‚ 1990)‚ pp. 1019-1043 Published by: Blackwell Publishing for the American Finance Association Stable URL: http://www.jstor.org/stable/2328713 . Accessed: 16/07/2011 10:21 Your use of the JSTOR archive indicates your acceptance of JSTOR ’s Terms and Conditions of Use‚ available at . http://www.jstor.org/page/info/about/policies/terms
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QUANTITATIVE METHODS:- Quantitative methods of forecasting include ASSOCIATIVE (CAUSAL) MODELS:- There is a causal relationship between the variable to be forecast and another variable or a series of variables. (Demand is based on the policy‚ e.g. cement‚ and build material. Causal Model: Demand for next period = f (number of permits‚ number of loan application....) There is no logical link between the demand in the future and what has happened in the past. There are other factors which can
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Chapter 6: Multiple Linear Regression Data Mining for Business Intelligence Shmueli‚ Patel & Bruce © Galit Shmueli and Peter Bruce 2010 Topics Explanatory vs. predictive modeling with regression Example: prices of Toyota Corollas Fitting a predictive model Assessing predictive accuracy Selecting a subset of predictors (variable selection) Explanatory Modeling Goal: Explain relationship between predictors (explanatory variables) and target Familiar use of regression in data analysis
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Wal-Mart Stores: “Every Day Low Prices in China” Opening Statement Strengths of Wal-Mart in the United States Every Day Low Prices Economies of Scale Another key advantage Wal-Mart has over the industry is its supply–side economies of scale. The organization enjoys lower costs per units because it purchases products in high volumes. This allows the company to spread the costs over more units. In addition‚ the company had successful innovation in technology to increase efficiency in
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