This study uses factor analysis to simplify the complex relationships among stock markets and to reduce the number of markets required for portfolio construction. Our sample consists of the US and 11 Asia-Pacific stock markets. We find that the reduced portfolio obtained from factor analysis has...

With the development towards comprehensive and more sophisticated border control regimes, the problem of protection seekers’ access to EU territory has increasingly come into focus. Disorderly movement is presently the main avenue to safety in the EU, and human smugglers act as important...

The purpose of this study is to promote action through the provision of practical examples of programmes that have contributed to breaking the isolation of homeworkers, making them aware of their rights, helping them to organize and to increase their bargaining power, and generally improving...

The use of neural networks has been slow in coming to the public sector. One promising area in which neural networks are likely to prove beneficial is in the area of revenue forecasting. A sales tax forecasting model is developed and compared to the actual collections for the State of Indiana....

The use of neural networks has been slow in coming to the public sector. One promising area in which neural networks are likely to prove beneficial is in the area of revenue forecasting. A sales tax forecasting model is developed and compared to the actual collections for the State of Indiana....

The study assesses the impact of the 2007 US sub-prime crisis on the Malaysian stock market by analysing both the benchmark and sectoral indices. Specifically, it empirically examines the integration of the Malaysian, US and Japanese stock markets at the sectoral level, such as finance,...