Investors and scholars pay continuous attention to the stock market, as each day, many investors attempt to use different methods to predict stock price trends. However, as stock price is affected by economy, politics, domestic and foreign situations, emergency, human factor, and other unknown factors, it is difficult to establish an accurate prediction model. This study used a back-propagation...

Stock market is affected by news and information. If the stock market is not efficient, the reaction of stock price to news and information will place the stock market in overreaction and under-reaction states. Many models have been already presented by using different tools and techniques to forecast the stock market behavior. In this study, the reaction of stock price in the stock market was ...

This paper presents the basic framework of a comprehensive computational theory of stock market behavior, which we call Swingtum, taking multivariate stock index time series data as input, and producing probabilistic predictions of stock index movement at multiple time frames. The theory should also be applicable to other liquid markets. The Swingtum theory is based on the view that the movemen...

This paper identi®es four categories of formal stock market in Africa: South Africa, medium-sized markets, small new markets which have experienced rapid growth, and small new markets which have yet to take o€ . The hypothesis that a stock market price index follows a random walk is tested for South Africa, ®ve medium-sized markets (Egypt, Kenya, Morocco, Nigeria and Zimbabwe) and two small new...

This paper presents a forecasting approach, in which stock price direction in the next day can be predicted based on nonlinear probability models and technical indicators. The proposed method incorporates various indicators into Logit, Probit, and Extreme Value models permitting a decision maker to forecast the direction of stock movements more efficiently. The utilized indicators include Movin...

Volume Weighted Average Price (VWAP) for a stock is total traded value divided by total traded volume. It is a simple quality of execution measurement popular with institutional traders to measure the price impact of trading stock. This paper uses classic mean-variance optimization to develop VWAP strategies that attempt to trade at better than the market VWAP. These strategies exploit expected...

This paper examines the effects of selected macroeconomic variables on the stock market index in Iran. Using quarterly data, we examine the relationships between the Tehran Stock Index (TSI) and five macroeconomic variables which consist of gross domestic product, nominal effective exchange rate, money supply, gold coin price and investment in housing sector from 1996:1 to 2008:1.Various e...

Nowadays because of the complicated nature of making decision in stock market and making real-time strategy for buying and selling stock via portfolio selection and maintenance, many research papers has involved stock price prediction issue. Low accuracy resulted by models may increase trade cost such as commission cost in more sequenced buy and sell signals because of insignificant alarms and ...

The purpose of this study is to identify and analyze the impact global index, are Dow Jones Index (DJIA), Nikkei 225(N225), Shanghai Composite Indеx (SSEC) Singapore Straits Times (STI) Against Jakarta (JKSE) on Indonesia Stock Exchange (IDX). This type research explanatory with quantitative research. takes all time series data listed Index, 225 Іndеx, for period January 2015 December 2019. sam...

A market is considered whose index has strongly price-dependent local volatility. A tractable parametrization of the volatility is formulated, and option valuation of a stock with two-factor dynamics is investigated. One factor is the market index; when the second factor is uncorrelated with the rst, the option valuation equation can separate. A formal solution is given for a European call. The...