Lend Academy Network Forum
Lending Club Discussion => Investors  LC => Topic started by: Emmanuel on June 16, 2016, 06:06:24 PM

Or why a conservative portfolio is not necessarily made up of only conservative loan grades...
http://blog.lendingrobot.com/research/choosingloanswithmontecarlodiversificationpart2/

This reminds me of that one time, at math camp, I counted to 5 without thinking to myself "One, plus one, plus one, plus one, plus one..."
Soon thereafter I realized that I could set N to anything I wanted and then  working backwards  I realized that there were uncountably infinite ways to reach N. Later, that same summer, the concept of number revealed itself to me. I would stay up, late at night, dreaming.

Or why a conservative portfolio is not necessarily made up of only conservative loan grades...
http://blog.lendingrobot.com/research/choosingloanswithmontecarlodiversificationpart2/
We have the *population* (not just sample) of payment data; why use Monte Carlo? Why "simulate"?

Or why a conservative portfolio is not necessarily made up of only conservative loan grades...
http://blog.lendingrobot.com/research/choosingloanswithmontecarlodiversificationpart2/
We have the *population* (not just sample) of payment data; why use Monte Carlo? Why "simulate"?
Because the calculations would only apply for someone investing in every single loan.

We have the *population* (not just sample) of payment data; why use Monte Carlo? Why "simulate"?
When you say payment data, are you referring to data where you can see the value and date of payments made for each loan? If so, where do I find that?

When you say payment data, are you referring to data where you can see the value and date of payments made for each loan? If so, where do I find that?
It's in http://additionalstatistics.lendingclub.com/

Is this a through the cycle measure of risk?
Sent from my SAMSUNGSMG935A using Tapatalk

Or why a conservative portfolio is not necessarily made up of only conservative loan grades...
http://blog.lendingrobot.com/research/choosingloanswithmontecarlodiversificationpart2/
We have the *population* (not just sample) of payment data; why use Monte Carlo? Why "simulate"?
Because the calculations would only apply for someone investing in every single loan.
Wot?
The statistics from population are much more superior than those of samples.

Because the calculations would only apply for someone investing in every single loan.
Not true. You can apply the results from population to any samples of the population (e.g., one loan).