Real market institutions, stock and commodity exchanges for example, do not occur in isolation. Company stock is frequently listed on several stock exchanges, and futures exchanges make it possible for dealers in a particular commodity to offset their risks by trading options in that commodity. While there has been extensive research into agent-based trading in individual markets, there is litt...

Stock prices are a form of time series data. There have been many existing business and economics based methods for predicting stock prices. These methods can be classed as fundamental and technical analysis. Technical analysis is based on the observing patterns in stock prices based on psychological effects (fear and greed) changing supply and demand. Fundamental analysis is based on observing...

The Stock Sonar (TSS) is a stock sentiment analysis application based on a novel hybrid approach. While previous work focused on document level sentiment classification, or extracted only generic sentiment at the phrase level, TSS integrates sentiment dictionaries, phrase-level compositional patterns, and predicate-level semantic events. TSS generates precise in-text sentiment tagging as well a...

We use computer-intensive techniques to study the informational properties of forward-looking disclosures in the MD&A sections of 10-K filings made with the SEC. We find that firms make more forward-looking MD&A disclosures when their stock prices have lower informational efficiency, i.e., when their stock prices poorly reflect future earnings information. The greater levels of forward-looking ...

A central issue for operators of passenger railways is providing sufficient number of seats for passengers while at the same time minimising operating costs. This is the task of rolling stock planning. Due to the large number of practical, railway specific requirements that a rolling stock plan has to take into account, rolling stock plans are often constructed in a step-by-step manner, taking ...

Under the growth of the stock market sector and the widespread of stock market applications, the stock market prediction has become one of the most important and challenging tasks in the stock market. Many data mining techniques are exploited to predict the stock prices in order to help investors in making investing decisions. One of the most common and widely used techniques is Artificial Neur...

Although revenue management (RM) originates from service industries, its ideas are also relevant for manufacturing environment. In this paper, we consider RM approaches for demand fulfillment in a make-to-stock (MTS) production system with known exogenous replenishments and stochastic demand from multiple customer classes. We propose a safety margin model which borrows the “safety stock” idea f...

The present study aims to investigate the relationship between comparability of financial reports and negative coefficient of skewness of firm-specific monthly returns. In this study, to measure the financial statements comparability, De Franco et al. (2012) model is employed. Sample includes the 425 firm-year observations from companies listed on the Tehran Stock Exchange during the years 2013...

In this paper, we consider stock rationing problem of a single-item make-to-stock production/inventory system with multiple demand classes. Demand arrives as a Poisson process with a randomly distributed batch size. It is assumed that the batch demand can be partially satisfied. The facility can produce a batch up to a certain capacity at the same time. Production time follows an exponential di...