Stock prices have the characteristics of nonlinearity, randomicity and uncertainty, so It is difficult to accurately depict the change rules of stock prices using traditional linear forecasting methods, which lead to low stock price prediction accuracy. In order to improve the stock price prediction precision , this paper proposed a stock price predicting model using SVM optimized by particle s...

This paper explains the BEA methodology for computing historical cost and replacement cost measures of the net stock of capital in the U.S. economy. It is demonstrated that there exists a threshold rate of inflation in the price of capital goods that keeps the percentage difference between the two capital stock measures constant. Hence, over periods when average inflation in the price index for...

s tock returns of companies listed on the stock exchange is one of the most important criteria in assessing the macroeconomic. this study investigates the effect of exchange rate volatility on the stock exchange returns of d8 countries. it takes monthly data during the period (2008:1-2015:6) constituting 90 observations. at first we used panel-garch model to estimate exchange rate volatility in...

The probability distribution of stock price changes is studied by analyzing a database (the Trades and Quotes Database) documenting every trade for all stocks in three major US stock markets, for the two year period January 1994 – December 1995. A sample of 40 million data points is extracted, which is substantially larger than studied hitherto. We find an asymptotic power-law behavior for the ...

This study presents the first formal analysis of the impact of “official product” or “official service” sports sponsorships of the National Football League (NLF), Major League Baseball (MLB), the National Hockey League (NHL), the National Basketball Association (NBA), and the Professional Golfers’ Association (PGA) on the stock prices of sponsoring firms. The primary finding of the study—that m...

This paper presents a novel approach for finding the corellation between news articles and stock prices from an information retrieval perspective. We accomplish this by ranking news articles in a very large collection based on their relevance to market price changes. The news collection is composed of six years of news and the corresponding daily stock prices. Each article in the collection is ...

The portfolio management for trading in the stock market poses a challenging stochastic control problem of significant commercial interests to finance industry. To date, many researchers have proposed various methods to build an intelligent portfolio management system that can recommend financial decisions for daily stock trading. Many promising results have been reported from the supervised le...

In this paper, the authors examine the impacts of large price changes (or shocks) on the abnormal returns (ARs) of a set of 39 national stock indices. Their initial results support returns continuations for both positive and negative shocks in line with prior results. After controlling for market size, their findings provide support for over-reaction, return continuations and market efficiency,...

A knock-in American option under a trigger clause is an option contract in which the option holder receives an American option conditional on the underlying stock price breaching a certain trigger level (also called barrier level). We present analytic valuation formulas for knock-in American options under the Black-Scholes pricing framework. The price formulas possess different analytic represe...