Although object-oriented languages can help make software more reusable, class libraries can be di cult to use unless the programmer knows the library well. In particular, it can be hard to nd and understand components that a programmer may want to reuse. This study focuses on novice programmers solving programming tasks which require the reuse of components. We take an in-depth look at how the...

The current paper presents theoretical and experimental evidence to justify the need for paying attention investment horizon. Therefore, a criterion called 'Safest Investment Horizon' (SIH) is utilized select appropriate To compute this quantity, ratio Ratio' (SIR) calculated, relationship between these criteria arbitrage opportunities, along with methods making an profit through selecting time...

This paper introduces a large collection of reusable software components that AT&T is making available in an OpenSource form. This software has been widely used around the world and includes well-known components such as KornShell, Nmake, Graphviz, S o, Vmalloc and Cdt.

This paper investigates how individual characteristics, such as age, salary, job tenure, and gender, influence an individual’s decision to over-invest in company stock and follow naïve diversification rules. Using a new and unique data set from one 401(k) plan with over 73,000 eligible employees, the results suggest that individual characteristics do influence company stock holdings. Ordered pr...

The fast development in computing and communication has strongly changed the dynamics of financial markets. More people are trading online through the Web instead of using full-service brokerages. Many online financial services have given investors new opportunities to trade stocks and access real-time market information efficient way. But, very few investors in UAE are familiar and use these s...

This study uses the Bayesian approach to examine the incremental contribution of stock characteristics to the investment opportunity set in U.K. stock returns. The paper finds that size, book-to-market (BM) ratio, and momentum characteristics all make a significant incremental contribution to the investment opportunity set when there is unrestricted short selling. However, no short selling cons...

In this paper, we propose a model to analyze sentiment of online stock forum and use the information to predict the stock volatility in the Chinese market. We have labeled the sentiment of the online financial posts and make the dataset public available for research. By generating a sentimental dictionary based on financial terms, we develop a model to compute the sentimental score of each onli...

In light of recent research that has begun to examine the link between textual “big data” and social phenomena such as stock price increases, this chapter takes a novel approach to treating news as big data by proposing the intelligent investment decision-making support model based on opinion mining. In an initial prototype experiment, the researchers first built a stock domain-specific sentime...

This work presents a hybrid approach based on the use of genetic algorithms to solve efficiently the problem of cutting structural beams arising in a local metalwork company. The problem belongs to the class of onedimensional multiple stock sizes cutting stock problem, namely 1dimensional multiple stock sizes cutting stock problem. The proposed approach handles overproduction and underproductio...