I have a dataset of customers of a lending company. Each row in the dataset relates to can individual loan. I have combined the information into a matrix which shows the principal exposure for each customer per month. Each row relates to a different month and each column a different customer.
I want to understand the relationship between numer of months dormant (zero exposure) and the probability of taking another loan. I am thinking something along the lines of:
- Calcuating the number of dormang months between loans for each customer that goes dormant
- Fitting a kernal density estimate to the distribution
- Estimating the probability of each number of months
This is likely not the most effective method. Please message me with suggestions of how to go about the project and I will be looking for someone to carry out the entire analysis.
24 freelancers are bidding on average €161 for this job
Hi there, I can help you complete this project. It will be best of you can share the dataset with me so that I can understand the relationship between the data attributes. Please contact me on PM for details.
Hello, I have just read your requirements carefully. I can help you. I have good experience with Statistics and Finance Data Analysis. I want to see your data. Please send me your data. Regards.
Hello, I am Palito greetings from Indonesia. I have read the project description, and seems that my interest and qualification highly fit to it. Thus, it will be great to assist you in this project.