Stock Market Prediction using Financial Cybernetics
Abstract
Research on stock markets is unusual because of random walk performance of stock time series. Forecasting in stock market returns is a significant problem in finance. Currently, the essentials of stock market cannot be isolated from human life because of the frequent investment done in the stock market by people worldwide. While making investments in stock market, traders not only purchase a stock whose value is likely to increase in the future but also, they are likely to refrain from purchasing those stocks whose value is expected to drop in the future. Therefore, a precise estimation of the movement of stock price in the market in order to make maximum profit and curtail loss is urgently required.