This Panel Paper reviews recent evidence on moral hazard in the insurance industry. We discuss three types of moral hazard and detail how each is an asymmetric information problem. For each of the types, we summarize the empirical evidence and discuss the policy implications that follow from it. The evidence for ex ante moral hazard (i.e., insurance-induced increases in risk-taking) is rather w...

The amount of online transactions is growing these days to a large number. A big portion of these transactions contains credit card transactions. The growth of online fraud, on the other hand, is notable, which is generally a result of ease of access to edge technology for everyone. There has been research done on many models and methods for credit card fraud prevention and detection. Artificia...

Financial fraud is increasing significantly with the development of modern technology and the global superhighways of communication, resulting in the loss of billions of dollars worldwide each year. The companies and financial institution loose huge amounts due to fraud and fraudsters continuously try to find new rules and tactics to commit illegal actions. Thus, fraud detection systems have be...

Nowadays, health insurance has become an essential part of people’s lives as the number issues increases. Healthcare emergencies can be troublesome for people who can’t afford huge expenses. Health helps cover healthcare services expenses in case a medical emergency and provides financial backup against indebtedness risk. its several benefits face many security, privacy, fraud iss...

Fraud detection in healthcare is an important yet difficult problem. We present a fraud screening solution to identify suspicious pharmacies from a large dataset of pharmacy claims. Our solution has stemmed from collaboration with medical claim investigators and proven usefulness to investigators by discovering real fraud cases. We focus on a concrete problem of probabilistic outlier detection ...

We report on some preliminary results of a project using Netmap to visualise the network of genotypes generated in an evolutionary run of Tierra (the tree of life). Netmap is a sophisticated tool for visualising and analysing any dataset containing a network of graph structure. It has been successfully used for fraud detection in a number of commercial datamining projects, in the insurance and ...

For several decades, LexisNexis Risk Solutions has provided real-time risk assessment and management services via their easy easy-to-use, big data analytics solutions—building a reputation for precision, speed, and breadth over the years. Now a global organization headquartered in Alpharetta, Georgia, LexisNexis provides services and solutions such as identity management, risk scoring, fraud de...

Several state-of-the-art binary classification techniques are experimentally evaluated in the context of expert automobile insurance claim fraud detection. The predictive power of logistic regression, C4.5 decision tree, k-nearest neighbor, Bayesian learning multilayer perceptron neural network, least-squares support vector machine, naive Bayes, and tree-augmented naive Bayes classification is ...

In the era of digitization frauds are found in all categories health insurance. It is finished next to deliberate trickiness or distortion for acquiring some pitiful advantage form expenditures. Bigdata analysis can be utilized recognize fraud large sets insurance claim data. light a couple cases that known suspected false, anomaly detection technique computes closeness each record fake by inve...