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Research on Customer Churn Prediction Using Machine Learning Models [PDF]
SHS Web of ConferencesThe percentage of consumers or subscribers that discontinue using a product or service within a given time frame is known as the “churn rate.” Hence, using machine learning models to estimate the number of possible churn consumers is crucial for ...
Jia Xiaolei
doaj +1 more source
Underpricing and Overachievement: Celebrating Jay Ritter's IPO Research
European Financial Management, EarlyView.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
Machine Learning–Based Customer Churn Prediction in Telecommunication Industry
Applied Computational Intelligence and Soft ComputingCustomer churn remains a major challenge in the telecommunications industry, where retaining existing customers is significantly more cost-effective than acquiring new ones.
Henry Nii-Armah Mettle +2 more
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Affiliated Mutual Funds: Beyond the Reach of the Invisible Hand?
Financial Management, EarlyView.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
, 2019 Churn analys är ett viktigt verktyg för företag då det kan reducera kostnaderna som är relaterade till kund churn. Churn prognoser är processen av att identifiera användare innan de churnas, detta är gjort med implementering av metoder på samlad data för att hitta mönster som är hjälpsamma när framtida användare ska prognoseras.
Åkermark, Alexander +1 more
openaire +1 more source
Customer churn prediction by hybrid neural networks [PDF]
, 2012 [[abstract]]As churn management is a major task for companies to retain valuable customers, the ability to predict customer churn is necessary. In literature, neural networks have shown their applicability to churn prediction.
蔡志豐;Tsai, Chih-Fong;盧鈺欣;Lu, Yu-Hsin
core
, 2022 With the rapid advancement of digital systems and related information technologies, there is agrowing tendency in the global economy to develop digital CRM systems. This research uses a real-world study to predict customer churn and recommends the use of
Dr.K.Geetha, Prachi Tomar, Anisha Jain
core +1 more source
Wealth Meets Value: The Role of Advice for High Net Worth Individuals
Financial Review, EarlyView.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
Rebuilding the Women's Estate: Imaginary Penalities in Scottish Imprisonment, 2012–2023
The Howard Journal of Crime and Justice, EarlyView.ABSTRACT This article explores a period during which the Scottish Prison Service aspired to a ‘golden age’ for imprisonment, tracing how a narrative of progress shaped a decade of struggle to close Scotland's national prison for women: ‘Cornton Vale’.
Cara Hunter
wiley +1 more source
IEEE AccessDue to market deregulation and globalisation, competitive environments in various sectors continuously evolve, leading to increased customer churn. Effectively anticipating and mitigating customer churn is vital for businesses to retain their customer ...
Awais Manzoor +3 more
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