Host: The Japanese Society for Artificial Intelligence
Name : The 32nd Annual Conference of the Japanese Society for Artificial Intelligence, 2018
Number : 32
Location : [in Japanese]
Date : June 05, 2018 - June 08, 2018
The apartment loan is a loan for rentals such as for condos, apartments. This loan is a very large loan which is the account for a percentage of more than 10 percents of the whole banks' loan. However, a risk model of the apartment loan with the appropriate accuracy has not been provided in Japan mainly due to the lack of data. Thus, in order to develop the risk model, we preliminarily analyse and compare two types of data set: the servey data which is made by the real estate appraiser and the housing information website data. As a result, it was found that (i)the web data is approximetly corresponding to the survey data which was made by exparts with respect to statitical properties, (ii)The AR value of the simple multivariate regression model developed in this study which explains the transion of rooms from vacancy to occupation takes about 0.4 and (iii)this transition probability of the model is mainly explained by an age of a building.