1,720,963 research outputs found
It's the economy stupid: comparison of proportional hazards models with economic and socio-demographic variables for estimating the purchase of financial products
No full textRelatively there is little empirical research that has been taken to understand how the underlying economy affects customers’ subsequent financial product purchase behaviours. A better understanding of this influence and being able to predict the probability of purchasing are important for financial service industries. This paper undertakes an examination of the impacts of social-demographic and economic variables on the probability of purchasing financial products. In particular two most common, the Cox and Weibull, proportional hazard models are compared to examine their adequacy in terms of predictive ability. The results show that the change of external economic environment is an important source that drives customers’ financial products purchasing behaviours. Furthermore, the results also that indicate Cox proportional hazard models are superior to Weibull proportional hazard models
It's the economy stupid: modelling financial product purchases
No full textPurpose – The purpose of this research is to undertake an examination of the impacts of socio-demographic and economic variables on the probability of purchasing financial products. There is relatively little empirical research that has been taken to understand how the underlying economy affects customers' subsequent financial product purchase behaviours. Understanding this influence would improve prediction of when purchases will occur and hence is important for the Customer lifetime value models of financial service organisations.
Design/methodology/approach – Two proportional hazard modelling approaches – Cox and Weibull – are compared in terms of predictive ability on a data set from a major insurance company. The risk factors for purchase are both economic and socio-demographic.
Findings – The results show that the external economic environment is an extremely important influence in driving customers' financial products purchasing behaviours. Furthermore, the results also indicate that Cox's proportional hazard models are superior to Weibull proportional hazard models in this case because of an annual purchase effect.
Practical implications – Financial organisations need to consider the current economic conditions before determining how much marketing effort to undertake.
Originality/value – The originality of this paper is that it considers economic conditions and socio-demographic variables in modelling the long run purchase behaviour of customers for insurance and savings products. It has a large data set from a major insurance company. It is also one of the first papers to make a detailed comparison between the semi-parametric and parametric proportional hazard models in the bank marketing area. <br/
Assessing the impact of derived behaviour information on customer attrition in the financial service industry
No full textThe value of the customer has been widely recognized in terms of financial planning and efficient resource allocation including the financial service industry. Previous studies have shown that directly observable information can be used in order to make reasonable predictions of customer attrition probabilities. However, these studies do not take full account of customer behavior information. In this paper, we demonstrate that efficient use of information can add value to financial services industry and improve the prediction of customer attrition. To achieve this, we apply an orthogonal polynomial approximation analysis to derive unobservable information, which is then used as explanatory variables in a probit–hazard rate model. Our results show that derived information can help our understanding of customer attrition behavior and give better predictions. We conclude that both researchers and the financial service industry should gather and use derived financial information in addition to directly observable information
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Impact of demographic and economic variables on financial policy purchase timing decisions
No full textThis paper investigates the extent to which consumers' demographic factors influence their financial policy purchasing behaviours and also explores how the external economic environment affects consumers' propensities to purchase financial products. The Cox proportional hazard model is used to explore these issues. The results suggest that consumer decisions on the timing of financial product purchases are largely explained by changes in the economic environment in terms of stock market, the housing market, average earnings, consumer confidence, and interest rates. The influence of customer demographic factors is also important but secondary
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
- …
