Results 51 to 60 of about 639,400 (197)
Underpricing and Overachievement: Celebrating Jay Ritter's IPO Research
ABSTRACT This tribute celebrates Jay Ritter's scholarship on the occasion of his election as Fellow of the American Finance Association. Best known for documenting and IPO underpricing, hot issue markets, and the long‐run underperformance of new issues, Jay has shaped how academics, practitioners and regulators understand the going‐public process, from
Silvio Vismara
wiley +1 more source
Affiliated Mutual Funds: Beyond the Reach of the Invisible Hand?
ABSTRACT In many countries, banks are the primary distribution channel for mutual funds and predominantly sell products issued by their own asset management divisions (“affiliated funds”). We examine how this lack of competition affects managerial activeness, fund performance, and investor outcomes.
Dominik Scheld +3 more
wiley +1 more source
An improved convolutional neural network for churn analysis [PDF]
The significance of customer churn analysis has escalated due to the increasing availability of relevant data and intensifying competition. Researchers and practitioners are focused on enhancing prediction accuracy in modeling approaches, with deep ...
Mohdnawi, Nazri Bin, Gopal, Priya
core +1 more source
Wealth Meets Value: The Role of Advice for High Net Worth Individuals
ABSTRACT While financial advice in retail banking frequently fails to generate net‐of‐cost value due to agency conflicts, evidence from the high‐net‐worth segment remains scarce. This paper examines advice effectiveness within a private banking environment characterized by dedicated advisor relationships with two asset‐based compensation models, one of
Maria Maas +3 more
wiley +1 more source
Behavior Analysis of Customer Churn for a Customer Relationship System: An Empirical Case Study [PDF]
This article describes how the bank industry in Taiwan must function in today's tough and fiercely competitive domestic credit card market and subdued global market.
Li Chen Cheng; Chia-Chi Wu; Chih-Yi Chen
core +1 more source
Customer churn prediction in telecom sector using machine learning techniques
In the telecom industry, large-scale of data is generated on daily basis by an enormous amount of customer base. Here, getting a new customer base is costlier than holding the current customers where churn is the process of customers switching from one ...
Sharmila K. Wagh +5 more
doaj +1 more source
Separating the Costs and Benefits of Employee Turnover: A Theory‐Driven Method and Applications
ABSTRACT Employee turnover is costly, but it may also benefit performance through improving job‐worker match quality. Existing studies estimate only the net turnover‐performance relationship, ignoring benefits and biasing cost estimates. We develop a theory‐driven method that separately identifies operational costs and match‐quality benefits of ...
Elena Rapoport, Nick Zubanov
wiley +1 more source
Identifying customers likely to churn [PDF]
As acquiring new customers is costly, it seems logical to keep and satisfy long-time customers rather than to acquire new customers. To reduce churn rates, firms should manage customers proactively to avoid losing churned customers.
Jarvis, W., Zorn, S., Bellman, S.
core
Customer churn has become a big problem for telecommunication companies. Preventive efforts are needed by predicting the value of churn in the future. This study uses data mining techniques with decision tree algorithms to predict customer churn in one
Muid, Abdul +3 more
core +1 more source
Customer Behavior Analysis and Service Enhancement in Telecom Company Using Machine Learning Methods
Customer complaints are considered one of the key indicators of customer discontentment with a service. In organizations, such as telecommunications companies, not all customers raise their complaints, which raises concerns about their potential churn or
Hussein Ibrahim, Vladimir Dimitrov
doaj +1 more source

