Stock Market Prices Abstract This paper is a survey on the application of neural networks in forecasting stock market prices. With their ability to discover patterns in nonlinear and chaotic systems, neural networks offer the ability to predict market directions more accurately than current techniques. Common market analysis techniques such as technical analysis, fundamental analysis, and regression are discussed and compared with neural network performance. Also, the Efficient Market Hypothesis
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THE EVOLUTION OF STOCK MARKET EFFICIENCY OVER TIME: A SURVEY OF THE EMPIRICAL LITERATURE Kian-Ping Lim Universiti Malaysia Sabah and Monash University and Robert Brooks Monash University Background This paper provides an insight into the empirical literature as pertains the evolution of stock market efficiency over time, with a keen focus on the weak form Efficient Market Hypothesis (EMH). The authors provide a systematic review of the correlation between several financial factors namely:
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enterprise data models with the addition of crucial building blocks to handle the dramatic growth of data in the enterprise. According to IDC estimates, the size of the "digital universe" in 2011 will be 1.8 zettabytes (1.8 trillion gigabytes). With information growth exceeding Moore's Law, the average enterprise will need to manage 50 times more information by the year 2020 while increasing IT staff by only 1.5 percent. With this challenge in mind, the integration of big data models into existing
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Market Model Patterns of Change Jennifer Harris Dr. Faux Economics 550 August 24, 2013 The healthcare insurance industry is an industry that is growing fast and is extremely competitive. New laws are causing the healthcare insurance industry to change rapidly. This industry operates as an oligopoly with a few big firms controlling the majority of the market. The price for coverage is not dictated by only one provider. In the oligopoly model no single theory explains the behavior that is
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(598)more... | Impact of Foreign Institutional Investors on Indian Stock Market Posted Date: Total Responses: 0 Posted By: hardeep Member Level: Silver Points/Cash: 10 | | CHAPTER I INTRODUCTION 1.1 INTRODUCTION 1.1.1 FOREIGN INSTITUTIONAL INVESTORS FII is defined as an institution organized outside of India for the purpose of making investments into the Indian securities market under the regulations prescribed by SEBI. ‘FII’ include “Overseas pension funds
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Chapter 5 * a prediction of the future market potential for a specific product. * sales forecast * is a quantitative estimate, in either physical or monetary units, of the total sales for a product within a market. * Market potential * is the portion of market potential that one among a set of competing firms can reasonably expect to obtain. * Sales potential * based on primary research * Build-up approach * Forecast economic conditions, such as these: I. GNP
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KNOWLEDGE FOREIGN AND INCREASING MARKET COMMITMENTS JAN JOHANSON* Center of International Business Studies University of Uppsala JAN-ERIK VAHLNE* Institute of International Business Stockholm School of Economics Abstract. On the basis of empirical research, a model of the internationalization the firm is developed. The model focuses on the gradual acquisition, integration knowledge about foreign markets and operations, and on the incrementally commitments to foreign markets. In particular, attention
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sensitive to initial conditions—a response popularly referred to as the butterfly effect. Chaotic behavior can be observed in many natural systems, such as weather and climate. This behavior can be studied through analysis of a chaotic mathematical model, or through analytical techniques such as recurrence plots and Poincare maps. This latter idea is known as sensitive dependence on initial conditions , a circumstance discovered by Edward Lorenz (who is generally credited as the first experimenter
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the business world, there are many methods of forecasting product demand, and they must include all known information. Extrinsic forecasting methods involve factors such as economic conditions, market trends, competition, government regulations, or the sale of related goods. These techniques look for patterns or correlations linking product demand with these outside factors. Qualitative forecasting techniques most often are used for extrinsic forecasting. They are employed by senior managers and involve
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Fashion change and fashion consumption: the chaotic perspective Ka Ming Law, Zhi-Ming Zhang and Chung-Sun Leung Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hunghom, Hong Kong Keywords Fashion, Consumers, Young adults, Social change Abstract Previous researches have considered that the impact of fashion change and fashion consumption is linear. Therefore, one reason was found as the ultimate source to explain why a fashion style/ trend was spread to the mass market. However
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