One of important problems in supply chains management is supplier selection. In a company, there are massive data from various departments so that extracting knowledge from the company’s data is too complicated. Many researchers have solved this problem by some methods like fuzzy set theory, goal programming, multi objective programming, the liner programming, mixed integer programming, analyti...

Travel time prediction for urban networks is an important issue in Advanced Traveler Information Systems (ATIS) since drivers can make individual decisions, choose the shortest route, avoid congestions and improve network efficiency based on the predicted travel time information. In this research, two algorithms are proposed to estimate and predict travel time for urban networks, the simulation...

The expected return to equity — typically measured as a historical average — is a key variable in the decision making of investors. A recent literature uses analysts’ forecasts, investor surveys or present-value relationships and finds estimates of expected returns that are sometimes much lower than historical averages. This study extends the present-value approach to a dynamic optimizing frame...

The mathematical model we described requires the researcher to preset the average number of disease-susceptible persons infected by an infectious patient (i.e., the rate of transmission). To obtain historical data describing the average number of persons infected per infectious person, we examined the literature for data regarding the rate of transmission. Since there are already a number of ex...

The goal of this research is to build a model to predict stock price movement using the sentiment from social media. Unlike previous approaches where the overall moods or sentiments are considered, the sentiments of the specific topics of the company are incorporated into the stock prediction model. Topics and related sentiments are automatically extracted from the texts in a message board by u...

BACKGROUND The Taiwan CDC relied on the historical average number of disease cases or rate (AVG) to depict the trend of epidemic diseases in Taiwan. By comparing the historical average data with prediction markets, we show that the latter have a better prediction capability than the former. Given the volatility of the infectious diseases in Taiwan, historical average is unlikely to be an effect...

! Average inflation below target in Sweden 1997-2011 ! Average inflation expectations (Prospera) close to target 1997-2011 Questions to be answered: ! If inflation expectations stuck at target when average inflation deviates from target, non-vertical long-run Phillips curve? ! If lower average inflation, higher average unemployment? ! If estimates of sustainable unemployment rate based on histo...

This paper provides a novel method to estimate β thoroughly based on option prices. Through combining the market model and the multivariate risk-neutral valuation relationship in Stapleton and Subrahmanyam (1984) and Câmara (2003), we develop a pricing model for individual stock options involving the volatility of the market index level and the levels of the β and the idiosyncratic risk of the ...