This paper discusses the application of support vector machine (SVM) in stock price change trend forecasting. By reviewing prior research, thirteen technical indicators are defined as the input attributes of SVM. By training this model, we can forecast if the stock price would rise the next day. In order to make best use of market information, analyst recommendations about upgrading stocks are ...

This paper reports on a number of experiments where three different groups of artificial agents learn, forecast and trade their holdings in a real stock market scenario given exogeneously in the form of easily-obtained stock statistics such as various price moving averages, first difference in prices, volume ratios, etc. These artificial agent-types trade while learning during – in most cases –...

a r t i c l e i n f o Keywords: Subtractive clustering Adaptive network-based fuzzy inference system Technical indicators Adaptive learning Genetic algorithm Technical analysis is one of the useful forecasting methods to predict the future stock prices. For professional stock analysts and fund managers, how to select necessary technical indicators to forecast stock trends is important. Traditio...

General guidelines The questions fall into several categories: (Know). Make sure you know how to solve. Do not submit. (Mandatory). Mandatory questions. (Bonus). Bonus questions. On the submission date we will collect your answers. We will then go over the questions and solve them in class. After that you have a week to write the solutions and submit to us, as long as 1. You write the solutions...

Artificial stock markets are models of financial markets used to study and understand market dynamics. Agent Based Artificial Stock Markets can be seen as any market model in which prices are formed endogenously as a result of participants’ interaction and in which the representation of participants varies from simple equations of forecast functions to intricate software components endowed with...

The purpose of stock portfolio selection is how to allocate the capital to a large number of stocks in order to bring a most profitable return for investors. In most of past literatures, experts considered the portfolio of selection problem only based on past crisp or quantitative data. However, many qualitative and quantitative factors will influence the stock portfolio selection in real inves...

The interrelationships, interdependencies, integration, and dynamic linkages in between countries, regions including BRIC, country-region, and developing-developed stock markets had been thoroughly researched in the literature. This study aims at investigating above relationships both in short and long-run with special reference to India. It undertakes daily closing values of the BRIC indices f...

Companies that use their own stock to finance acquisitions have incentives to increase their market values prior to the acquisition date. This study examines whether such companies strategically disclose good news or withhold bad news in order to boost their high stock prices. I find that stock swap acquirers are not more likely to issue favorable management forecasts during the period before t...

BACKGROUND Because the movement of stock prices is not only ubiquitous in financial markets but also crucial for investors, extensive studies have been done to understand the law behind it. In particular, since the financial crisis in 2008, researchers have a more interest in investigating large market volatilities in order to grasp changing market trends. METHODOLOGY/PRINCIPAL FINDINGS In th...

a r t i c l e i n f o Keywords: Knowledge management MAKE award winners Market study Delphi method Asset pricing Capital markets Stock valuation Researchers have used the stock price reaction to firms' disclosures of investment in information technology to investigate the value of those investments. This paper extends that research to include knowledge management (KM). In particular, we test wh...