The Determination of Mortgage Insurance Premiums Under Information Asymmetry

2012 ◽  
Author(s):  
Ming Pu ◽  
Gang-Zhi Fan ◽  
Chunsheng Ban
2021 ◽  
Vol 10 (4) ◽  
pp. 241
Author(s):  
RAIN FERNANDO BANGUN ◽  
I NYOMAN WIDANA ◽  
DESAK PUTU EKA NILAKUSMAWATI

Determination of insurance premiums is very important the calculation must be done carefully so that there is experience losses. The purpose of this research is to find out the application of empirical Bayes credibility theory Model 1 and estimate of the credibility premium on general insurance. A method that can help in overcoming these problems, that is empirical Bayes credibility theory Model 1, results of the estimated credibility premium credibility (in Euros) for insurance companies Alianz, Csob, Generali, Koop, Unisqa, and Wusten respectively as follows: 46.774811, 7.801307, 10.368991, 58.812250, 6.703035, and 5.091605.  These results, the average claim is greater than the credibility premium, so that insurance companies can reserve premiums for the future.


Author(s):  
Robert A. Jarrow

This article revisits the economics of insurance using insights from derivatives pricing and hedging. Applying this perspective, I emphasize the following insights applicable to insurance. First, I provide a valid justification for the use of arbitrage-free insurance premiums. This justification applies in both complete and incomplete markets. Second, I demonstrate the importance of diversifiable idiosyncratic risk for the determination of insurance premiums. And third, analyzing the insurance industry using the functional approach, I show the importance of derivatives and the synthetic construction of derivatives for reducing an insurance company's insolvency risk. Expected final online publication date for the Annual Review of Financial Economics, Volume 13 is November 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


2014 ◽  
Vol 83 (2) ◽  
pp. 447-474 ◽  
Author(s):  
Ming Pu ◽  
Gang-Zhi Fan ◽  
Chunsheng Ban

FEDS Notes ◽  
2016 ◽  
Vol 2016 (1843) ◽  
Author(s):  
Neil Bhutta ◽  
◽  
Daniel Ringo ◽  

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