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The most significant issue in the recent times in finance is finding the systematic ways to abridge and envision the stock market data. Stock market analysis gives useful information to Entrepreneurs, Individuals and Institutions about the etiquette of the market helping with speculation decisions. Many prediction models have been developed during the last decade. As a comparative study, we will be...
Long-term investors are interested in identifying the characteristics of companies that are likely to triple in value over the next five years, which equates to return of approximately 25 percent per year over the period. Such companies are known as compounders due to their high compounded rate of return. This paper reports on an analysis of corporate and market data undertaken with the goal of identifying...
This paper provides further evidence on the predictive power of online community traffic with regard to stock prices. Using the largest dataset to date, spanning 8 years and almost the complete set of SP500 stocks, we train a classifier using a set of features entirely extracted from web-traffic data of financial online communities. The classifier is shown to outperform the predictive power of a baseline...
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