An Improved Stock Price Prediction using Hybrid Market Indicators

In this paper the effect of hybrid market indicators is examined for an improved stock price prediction. The hybrid market indicators consist of technical, fundamental and expert opinion variables as input to artificial neural networks model. The empirical results obtained with published stock data of Dell and Nokia obtained from New York Stock Exchange shows that the proposed model can be effective to improve accuracy of stock price prediction

Interoperability of Information Systems and Heterogenous Databases Using XML

Interoperabilily of information systerrrs is the most critical issue facing businesse! that need to access information from multiple idormution systems on tlifferent environments ancl diverse platforms. Interoperability has been a basic requirement for the modern information systems in a competitive and volatile business environment, particularly with the advent of distributed network system and the growing relevance of inter-network communications. Our objective in tltis paper is to develop a comprehensiveframework tofacilitate interoperability smong distributed and heterogeneous information systems and to develop prototype software to validate tlte application of XML in interoperability of infurmation systems and databases

TOWARDS A FUTURISTIC EDUCATIONAL DEVELOPMENT IN NIGERIA

Majority of the nations of the world were colonized and went through wars at various times, but had turned around their fortunes through economic and educational reforms. In Nigeria however, there had been series of educational reforms from: 7/6-5-4 to 6-3-3-4 and now 9-3-4 system. Similarly, the recent reform in the higher education sector which has resulted into the conversion of the nation’s higher technical educational institutions to degree awarding universities, which arose largely from the disparity between the graduates of the two institutions in the labor market and the fallen standard of education. This paper presents a critical review of the various educational reforms with a view to designing a viable educational model based on the examples of some developed and developing nations. It attempts to proffer solutions to some of the existing problems

E-VOTING IMPLEMENTATION IN NIGERIA: The Success Factors

The proposed adoption of e-Voting in Nigeria by the electoral body. the Independent National Electoral Commission (INEC), was resisted by the law makers and a sizeable portion of the populace. The reasons may not be unconnected with the previous unsuccessful attempts by government to implement such magnificent projects, particularly, the National ID card scheme; and lack of basic infrastructures to implement the system. This paper reviews thee-Registration exercise by INEC with a view to using it as a springboard fore-Voting implementation in Nigeria; and the experiences of some developed countries to serve as lessons. Similarly, the paper proposes solutions to some of the problems encountered in countries where e-Voting had been adopted. Finally, arising from the perceived apathy between the elect and the electorate, which has resulted to low turnout of voters during elections, an integrated voting system that incorporates an Electronic Voting Machine (EVM), Internet Voting (i-Voting) and mobile Voting (m-Voting) is proposed for enhanced participatory democracy

Development of Electronic Government Procurement (e-GP) System for Nigeria Public Sector.

Business-to-business electronic procurement success in business organizations (private sectors) has been a major driving force for government organizations (public sectors) in developed nations to adopt electronic government procurement in order to reduce cost and improve administrative efficiency. E-procurement within the government is recognized to be the main area of government-to-business that needs to be exploited by government of developing nations. In this paper, we examined the drawbacks of existing procurement process in Nigeria with a view to offering an improved approach. A prototype e-GP system was designed and developed to eliminate the associated bottlenecks with existing system and showcase the attendant benefits of the proposed system which can lead to an improved procurement cycle process flow

A Framework for e-Commerce Implementation: Nigeria a Case Study

The advent of the Internet has transformed the business environment in no small measure and has influenced the ways and manner businesses are transacted. This platform has brought about enhanced electronic and mobile business transactions. However, the advent of e-Commerce, m-Commerce or i-Commerce has placed a premium on the participating organisations or nations in terms of provision of the basic infrastructure for a secure, seamless and trusted business environment through the electronic media. This paper presents an exploratory study of the prospects of e-Commerce implementation and the factors inhibiting its growth. A set of questionnaire was designed, administered and analysed based on political, economic, social and technological (PEST) analysis. The PEST analysis is to help review the current practices with a view to developing a framework for Nigeria and other developing nations in Africa. Findings revealed that the Automatic Teller Machine (ATM) is the most widely used medium of e-Payment in Nigeria, which is not very suitable for e-Commerce implementation. Similarly, the Internet penetration is still abysmally low and is one of the major threats to e-Commerce implementation. However, the nascent democracy enjoyed in Nigeria is faced with some teething problems, but it promised with time, relative political stability, direct foreign investment, improved economical atmosphere, improved social services and technological development more than ever witnessed in the country. Therefore, a viable framework for Nigeria and Africa would be such that involves the private and public partnership (PPP). This consortium is expected to provide the platform for access to the Internet and popularize the use of e-Payment among other things

M-Commerce Implementation in Nigeria: Trends and Issues

Nigeria was described as the fastest growing telecoms nation in Africa and the third in the World. The country had experienced a phenomenal growth from a teledensity of 0.49 in 2000 to 25.22 in 2007. This trend has brought about a monumental development in the major sectors of the economy, such as banking, telecoms and commerce in general. This paper presents the level of adoption of ICT in the banking sector and investigates the prospects of m-Commerce in Nigeria based on strengths, weaknesses, opportunities and threats (SWOT) analysis. Findings revealed that all banks in Nigeria offer e-Banking services and about 52% of the offer some forms of m-Banking services. The banks and the telecoms operators have enormous potentials and opportunities for m-Commerce but the level of patronage, quality of cell phones, lack of basic infrastructure and security issues pose a major threat to its wide scale implementation

Improved Constrained Portfolio Selection Model using Particle Swarm Optimization

Objective: The main objective of this study is to improve the extended Markowitz mean-variance portfolio selection model by introducing a new constraint known as expert opinion practicable for portfolio selection in real-life situation. Methods: This new extended model consists of four constraints namely: bounds on holdings, cardinality, minimum transaction lots, and expert opinion. The first three constraints have been presented in other researches in literature. The fourth constraint introduced in this study is an essential parameter in making and guiding a realistic portfolio selection. To solve this new extended model an efficient heuristic method of Particle Swarm Optimization (PSO) was engaged with existing benchmark data in the literature. Results: The outcome of the computational results obtained in this study with the new extended Markowitz mean-variance portfolio selection model proposed in this study and solved with PSO showed an improved performance over existing algorithm in particular GA in different instances of the data set used. Conclusion: The study evolves a new extended portfolio selection model and the findings

MS Word Export To Multiple PDF Files Software- Please Purchase License:Towards A Futuristic Educational Development in Nigeria

Majority of the nations of e world were colonized and went through wars at various times, but had turned around their fortunes through economic and educational reforms. In Nigeria however, there had been series of educational reforms from: 7/6-5-4 to 6-3-3-4 and now 9-3-4 system . Similarly, the recent reform in the higher education sector which has resulted into the conversion of the nation's higher technical educational institutions to degree awarding universities, which arose largely from the disparity between the graduates of the two institutions in the labor market and the fallen standard of education. This paper presents a critical review of the various educational reforms with a view to designing a viable educational model/ based on the examples of some developed and developing nations. It attempts to proffer solutions to some of the existing problem

Stock Price Prediction using Neural Network with Hybridized Market Indicators

Stock prediction with data mining techniques is one of the most important issues in finance being investigated by researchers across the globe. Data mining techniques can be used extensively in the financial markets to help investors make qualitative decision. One of the techniques is artificial neural network (ANN). However, in the application of ANN for predicting the financial market the use of technical analysis variables for stock prediction is predominant. In this paper, we present a hybridized approach which combines the use of the variables of technical and fundamental analysis of stock market indicators for prediction of future price of stock in order to improve on the existing approaches. The hybridized approach was tested with published stock data and the results obtained showed remarkable improvement over the use of only technical analysis variables. Also, the prediction from hybridized approach was found satisfactorily adequate as a guide for traders and investors in making qualitative decisions