Cointegration has important implications for portfolio diversification. One of these is that in order to spread risk it is advisable to invest in markets that are not cointegrated. Over the last several decades communication technology has made the world a smaller place and hence cointegration...

Business surveys often use complex sets of edit rules (edits, for short) to check returned questionnaires (records), locate suspicious or unacceptable responses, and support data cleaning operations prior to using the survey responses for estimation of the required target parameters. These sets...

Mixture cure models were originally proposed in medical statistics to model long-term survival of cancer patients in terms of two distinct subpopulations – those that are cured of the event of interest and will never relapse, along with those that are uncured and are susceptible to the event....

Traditionally, credit scoring aimed at distinguishing good payers from bad payers at the time of the application. The timing when customers default is also interesting to investigate since it can provide the bank with the ability to do profit scoring. Analysing when customers default is...

A multi-activity DEA model for the joint determination of efficiencies with variable returns to scale is developed in this paper. The model contains an element of complexity that is not present in the previous DEA models for estimating returns to scale. It is found that apparent overall...

To what extent do financial statements of firms reflect changes in the economy? We address this question by using European Union data. European countries have a service, normally under the name of the Central Balance Sheet Office, which is charged with the collection and aggregation of financial...

Start-ups are crucial in the modern economy as they provide dynamism and growth. Research on the performance of new ventures increasingly investigates initial resources as determinants of success. Initial resources are said to be important because they imprint the firm at start-up, limit its...

An important objective of data mining is the development of predictive models. Based on a number of observations, a model is constructed that allows the analysts to provide classifications or predictions for new observations. Currently, most research focuses on improving the accuracy or...

Valuing customers is a central issue for any commercial activity. The customer lifetime value (CLV) is the discounted value of the future profits that this customer yields to the company. In order to compute the CLV, one needs to predict the future number of transactions a customer will make and...

This paper reviews claims for methodological innovation in qualitative research. It comprises a review of 57 papers published between 2000-2009 in which claims to innovation in qualitative methods have been made. These papers encompass creative methods, narrative methods, mixed methods,...