1 - 5 of 5 articles
AbstractFor many decades, the analysis of underwriting-profitability regimes (i. e. successive “hard” and “soft” markets) has formed an important topic in insurance research. In the present article, we study the characteristics of firm-level underwriting results by applying both ordinary and...
AbstractThis study examines the consistency in risk aversion between hypothetical and actual choices in medical insurance. Utilizing a unique survey in which individuals in Japan are asked about their perception of a hypothetical necessary amount for hospitalization benefits and the actual...
AbstractWe analyze the recovery rates of 66,928 Japanese unsecured loans in default by ordered logistic regression. We divide the defaulted firms by sole proprietorships and industrial corporations and analyze the recovery rates for each type of firms. The recovery rate for sole proprietorships...
AbstractBayesian regularization, a relatively new method for estimating model parameters, shrinks estimates towards the overall mean by shrinking the parameters. It has been proven to lower estimation and prediction variances from those of MLE for linear models, such as regression or GLM. It has...
Read and print from thousands of top scholarly journals.
Continue with Facebook
Log in with Microsoft
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Sign Up Log In
To subscribe to email alerts, please log in first, or sign up for a DeepDyve account if you don’t already have one.
To get new article updates from a journal on your personalized homepage, please log in first, or sign up for a DeepDyve account if you don’t already have one.