Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling approaches usually fail to yield acceptable results. Therefore, machine learning methods can be a promising solution to this problem. Methods: In this...

The purpose of this research is to predict stock returns and the purpose of the least squares regression and neural network approach is used. The potential financial ratios based on the historical cost and financial ratios based on Adjusted Cost predict stock returns are investigated. Independent variables and the dependent variable in this study and financial ratios and stock returns is for th...

We propose a model to describe stock pinning on option expiration dates. We argue that if the open interest on a particular contract is unusually large, delta-hedging in aggregate by floor market-makers can impact the stock price and drive it to the strike price of the option. We derive a stochastic differential equation for the stock price which has a singular drift that accounts for the price...

a r t i c l e i n f o This paper examines the relationship between option trading activity and stock market volatility. Although the option market is uniquely suited for trading on volatility information, there is little analysis on how trading activity in this market is linked to stock price volatility. The bulk of the discussion tends to focus on whether trading activity in the stock market i...

The problem of optimal portfolio selection has attracted a great attention in the finance and optimization field. The future stock price should be predicted in an acceptable precision, and a suitable model and criterion for risk and the expected return of the stock portfolio should be proposed in order to solve the optimization problem. In this paper, two new criterions for the risk of stock pr...

in this study, the effect of audit quality on agency costs and information asymmetry has been examined. among the accepted companies 99 ones in tehran stock exchange were selected for statistical samples from 1385 to 1392 in order to attain the research purposes. to measure the audit quality, it has been used the observable variables such as the percentage of institutional investors, the type o...

since the 1970s, services marketing has grown into a major sub discipline of marketing. it is constantly claimed – but is refuted in the article – that services are now the dominant economic activity in developed countries and keeps growing while the two traditional goods sectors, manufacturing and agriculture, are declining. in today's competitive world, having expertise, knowledge and ma...

Internet stock message boards provide individual investors with a new information medium that could have several effects on stock activity. Message boards may provide investors with a new information source on small cap stocks. Message boards may affect the trading and volatility of certain stocks by influencing investors. The impact of message board information may vary according to characteri...

Fundamental and technical analyses are two common methods for predicting the future behavior of the stock. Fundamental analysis focuses on the economic forces of supply and demand which cause stock prices change. On the other hand, technical analysis examines historical data relating to changes in the price and trading volume by using graphs and indicators as a primary tool to predict future pr...

This paper investigates empirically the effect of volatility of the exchange rate of the U.S. dollar vis-à-vis the euro on U.S. stock market volatility while controlling for a number of drivers of stock return volatility. Using a GARCH(1, 1) model and using weekly data covering the period from the week of January 1, 1999 through the week of January 25, 2010, it is found that the 9/11 terrorist ...