A Hybrid Machine Learning Approach for Credit Card Fraud Detection
The online banking system is the new trend in the developing digital world. The transferring of a large amount of currency in a millisecond is leading to fast accessing of the banking system as it saves more time at the online payment and digital ...
Detecting Community Structure in Financial Markets Using the Bat Optimization Algorithm
A lucid representation of the hidden structure of real-world application has attracted complex network research communities and triggered a vast number of solutions in order to resolve complex network issues. In the same direction, initially, this ...
Predicting Churn of Credit Card Customers Using Machine Learning and AutoML
Nowadays, a major concern for most retail banks is the risk that originates from customer fluctuation and that increases the cost of almost every financial product. In this work, the authors compared different approaches and algorithms to predict the ...
Stock Recommendation and Trade Assistance
Investing in the stock market has never been an easy task. This paper develops a stock recommendation and trade assistance that uses the past performance of the stock to predict its future performance using linear regression model. Linear regression ...
FDI Inflow in BRICS and G7: An Empirical Analysis
A change in FDI inflow is noticed across the globe. G-7 economies, as representative of developed economies, are fronting with a sharp decline in foreign direct investment inflows in the entire world's FDI inflow, while BRICS, a representative of ...
Perceived Website Efficacy for Life Insurance Companies: Insights From a Best-Worst Method
Given the proliferation of websites which act as digital channels for life insurance companies, a competitive situation has emerged with each vying for the web user's attention and patronage. Web efficacy is vital for creating an impressive online ...
“Soar” or “Sore”: Examining and Reflecting on Bank Performance During Global Financial Crisis – An Indian Scenario
The study examines the factors affecting the performances of the Indian banking sector, especially after the global financial crisis. The sample constitutes a total of 33 scheduled commercial banks (SCBs) that were operative in India during the period ...