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Post by szamoca on Jan 2, 2017 11:18:48 GMT
I haven't issue with this way of investing either, because i don't have to parse html source because all data is in excel files. I asked Mintos about API, but there isn't high demand for API so i assume it's low priority for them. Yes i understand .. That you dont have to parse the html and you are using only the available data from excel files means that for example you cannot consider the repayment schedule which to my knowledge is only on the web interface. Right?
Indeed. What do you want to use repayment schedule info for? You can't use that info in Mintos's auto invest settings either.
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Post by mopcku on Jan 2, 2017 11:39:50 GMT
Yes i understand .. That you dont have to parse the html and you are using only the available data from excel files means that for example you cannot consider the repayment schedule which to my knowledge is only on the web interface. Right?
Indeed. What do you want to use repayment schedule info for? You can't use that info in Mintos's auto invest settings either. The repayment schedule is interesting for my analysis of the past performance.
Probably for the moment to your porfolio investment tool this is less relavant since you look only on loans open for investment and not already late loans:)
Still I can imagine it could be point for future development also for you as some investor could probably want to include some criteria based on the repayment schedule! There are such hypothetical scenarious like an investor who want to invest in way that he gets given part of his investment up to given date back so he can withdraw money 
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Post by szamoca on Jan 2, 2017 11:53:32 GMT
Indeed. What do you want to use repayment schedule info for? You can't use that info in Mintos's auto invest settings either. The repayment schedule is interesting for my analysis of the past performance.
Probably for the moment to your porfolio investment tool this is less relavant since you look only on loans open for investment and not already late loans:)
Still I can imagine it could be point for future development also for you as some investor could probably want to include some criteria based on the repayment schedule! There are such hypothetical scenarious like an investor who want to invest in way that he gets given part of his investment up to given date back so he can withdraw money
From repayment schedule you could find out maximum late payment, this can change risk of loan, even if loan's status went back to current.
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Post by mopcku on Jan 2, 2017 12:01:07 GMT
The repayment schedule is interesting for my analysis of the past performance.
Probably for the moment to your porfolio investment tool this is less relavant since you look only on loans open for investment and not already late loans:)
Still I can imagine it could be point for future development also for you as some investor could probably want to include some criteria based on the repayment schedule! There are such hypothetical scenarious like an investor who want to invest in way that he gets given part of his investment up to given date back so he can withdraw money
From repayment schedule you could find out maximum late payment, this can change risk of loan, even if loan's status went back to current. Yes and this means it is very usefull information also for a tool which makes investment decisions. The problem is that you dont get this information in the downloadable files 
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Post by szamoca on Jan 2, 2017 12:11:12 GMT
From repayment schedule you could find out maximum late payment, this can change risk of loan, even if loan's status went back to current. Yes and this means it is very usefull information also for a tool which makes investment decisions. The problem is that you dont get this information in the downloadable files I was thinking on this already. Mintos could add another status column for each loan: "worst status" during loan's life, this could be useful info, and you don't have to check it yourself manually for every loan.
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Post by martins on Jan 4, 2017 8:04:43 GMT
While we appreciate that third party applications are developed, we must explicitly state that we do not endorse this application, nor have provided any input in creating it. It is at the sole discretion of investors to use any third party application or not. Investors should be especially careful in providing their log in details to any third party.
According to our Terms & Conditions:
8.3. The User is aware of and understands that third parties, who have obtained the User’s password, can access the User’s Profile and assume obligations on behalf of the User. If the User’s Profile is used to carry out activities on the Portal (incl., buying Claims) using a correct User’s e-mail address and password, it shall be considered that the activities with the respective User’s Profile have been performed by the User himself/herself/itself.
Also we must reiterate that:
3.10. Mintos is entitled to, however is not obliged to, block access to the User’s Profile in cases, when Mintos suspects that the User’s Profile has been accessed without due authorization, including, if Mintos suspects that the User’s password has become known or may have become known to a third party or Mintos has suspicions of the execution of illegal transactions, as well as in other cases at the discretion of Mintos, in order to ensure safety of services, inviolability, confidentiality of the User and/or other Mintos’ clients or to prevent losses that might be inflicted upon Mintos or the clients.
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Post by mopcku on Jan 4, 2017 10:52:05 GMT
While we appreciate that third party applications are developed, we must explicitly state that we do not endorse this application, nor have provided any input in creating it. It is at the sole discretion of investors to use any third party application or not. Investors should be especially careful in providing their log in details to any third party. According to our Terms & Conditions: 8.3. The User is aware of and understands that third parties, who have obtained the User’s password, can access the User’s Profile and assume obligations on behalf of the User. If the User’s Profile is used to carry out activities on the Portal (incl., buying Claims) using a correct User’s e-mail address and password, it shall be considered that the activities with the respective User’s Profile have been performed by the User himself/herself/itself. Also we must reiterate that: 3.10. Mintos is entitled to, however is not obliged to, block access to the User’s Profile in cases, when Mintos suspects that the User’s Profile has been accessed without due authorization, including, if Mintos suspects that the User’s password has become known or may have become known to a third party or Mintos has suspicions of the execution of illegal transactions, as well as in other cases at the discretion of Mintos, in order to ensure safety of services, inviolability, confidentiality of the User and/or other Mintos’ clients or to prevent losses that might be inflicted upon Mintos or the clients. Hi Martins
I am very glad that Mintos is obviously active here and comments on the discussions from their point of view!
Now completely independent from the third party tool my questions are still valid. And I am doing this not for a third party tool but for my analysis.
Therefore I will be very thankful if you could answer my question I will reiterate now:
=========================================
I would like to analyze the historical performance of the mintos loan book so I can estimate the expected losses.
For this purpose I use the data downloaded from "Primary Market" page in the Mintos interface.
The most important point when someone analyses loan performance is whether given loan defaults and if yes when during the term of the given loan this happens. Unfortunately the provided in mintos download data column named "Payments Received" counts all the months also the months where there were no payment. So we don’t see a way to find out when late or defaulted loan becomes such based on the data provided in the file.
Can you please advise how this could be done in an automatized way (without having to visit manually each single delayed loan in the mintos webinterface).
For example Lending Club provides column named last_pymnt_d so you can easily imply how long after the beginning there were no payments anymore. Any similar information that can be used to calculate this for the Mintos loans will be helpful.
=========================================
Also I think such kind of additional information increases the platform transparency which helps the decision making of the investors and makes Mintos more attractive to them.
Thanks Mopcku
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Post by martins on Jan 4, 2017 16:07:31 GMT
For specific questions please contact support@mintos.com. Our support team will gladly help where possible.
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Post by kilozulu on Jan 4, 2017 20:05:02 GMT
Defaults appeared on Mintos only a few months ago, mid-August 2016, thus there is not enough statistics to have a meaningful insights. Prior to that it was official or unofficial buybacks done by originators, presumably to sweeten the deal or to iron out the process using their own money, not investors. Thus at the moment the best insight you can get is to download the whole loan book and look at what has been repaid ahead of schedule, either a contract ammendment or a buyback, or actual repayment ahead of schedule. And then take a sample of those early repaid loans and review the individual cases to try to form an opinion of what are the proportions among the three.. While we appreciate that third party applications are developed, we must explicitly state that we do not endorse this application, nor have provided any input in creating it. It is at the sole discretion of investors to use any third party application or not. Investors should be especially careful in providing their log in details to any third party. According to our Terms & Conditions: 8.3. The User is aware of and understands that third parties, who have obtained the User’s password, can access the User’s Profile and assume obligations on behalf of the User. If the User’s Profile is used to carry out activities on the Portal (incl., buying Claims) using a correct User’s e-mail address and password, it shall be considered that the activities with the respective User’s Profile have been performed by the User himself/herself/itself. Also we must reiterate that: 3.10. Mintos is entitled to, however is not obliged to, block access to the User’s Profile in cases, when Mintos suspects that the User’s Profile has been accessed without due authorization, including, if Mintos suspects that the User’s password has become known or may have become known to a third party or Mintos has suspicions of the execution of illegal transactions, as well as in other cases at the discretion of Mintos, in order to ensure safety of services, inviolability, confidentiality of the User and/or other Mintos’ clients or to prevent losses that might be inflicted upon Mintos or the clients. Hi Martins
I am very glad that Mintos is obviously active here and comments on the discussions from their point of view!
Now completely independent from the third party tool my questions are still valid. And I am doing this not for a third party tool but for my analysis.
Therefore I will be very thankful if you could answer my question I will reiterate now:
=========================================
I would like to analyze the historical performance of the mintos loan book so I can estimate the expected losses.
For this purpose I use the data downloaded from "Primary Market" page in the Mintos interface.
The most important point when someone analyses loan performance is whether given loan defaults and if yes when during the term of the given loan this happens. Unfortunately the provided in mintos download data column named "Payments Received" counts all the months also the months where there were no payment. So we don’t see a way to find out when late or defaulted loan becomes such based on the data provided in the file.
Can you please advise how this could be done in an automatized way (without having to visit manually each single delayed loan in the mintos webinterface).
For example Lending Club provides column named last_pymnt_d so you can easily imply how long after the beginning there were no payments anymore. Any similar information that can be used to calculate this for the Mintos loans will be helpful.
=========================================
Also I think such kind of additional information increases the platform transparency which helps the decision making of the investors and makes Mintos more attractive to them.
Thanks Nikolas
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Post by mopcku on Jan 4, 2017 22:50:58 GMT
Hi kilozulu
Thank you for your comment.
While I completely agree with your points i still think that the provided information in the Mintos download file is not enough to do any meaningful analysis.
Or you are different opinion? We have the following columns:
Id Issue Date Listing Date Country Loan Originator Loan Type Loan Rate Percent Term Collateral Initial LTV LTV Loan Status Buyback reason Initial Loan Amount Remaining Loan Amount
How should I do the analysis you propose only using these fields? For example I still don’t know anything about the time of the default/buyback events?
Thank you
Mopcku
Defaults appeared on Mintos only a few months ago, mid-August 2016, thus there is not enough statistics to have a meaningful insights. Prior to that it was official or unofficial buybacks done by originators, presumably to sweeten the deal or to iron out the process using their own money, not investors. Thus at the moment the best insight you can get is to download the whole loan book and look at what has been repaid ahead of schedule, either a contract ammendment or a buyback, or actual repayment ahead of schedule. And then take a sample of those early repaid loans and review the individual cases to try to form an opinion of what are the proportions among the three.. Hi Martins
I am very glad that Mintos is obviously active here and comments on the discussions from their point of view!
Now completely independent from the third party tool my questions are still valid. And I am doing this not for a third party tool but for my analysis.
Therefore I will be very thankful if you could answer my question I will reiterate now:
=========================================
I would like to analyze the historical performance of the mintos loan book so I can estimate the expected losses.
For this purpose I use the data downloaded from "Primary Market" page in the Mintos interface.
The most important point when someone analyses loan performance is whether given loan defaults and if yes when during the term of the given loan this happens. Unfortunately the provided in mintos download data column named "Payments Received" counts all the months also the months where there were no payment. So we don’t see a way to find out when late or defaulted loan becomes such based on the data provided in the file.
Can you please advise how this could be done in an automatized way (without having to visit manually each single delayed loan in the mintos webinterface).
For example Lending Club provides column named last_pymnt_d so you can easily imply how long after the beginning there were no payments anymore. Any similar information that can be used to calculate this for the Mintos loans will be helpful.
=========================================
Also I think such kind of additional information increases the platform transparency which helps the decision making of the investors and makes Mintos more attractive to them.
Thanks Mopcku
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Post by kilozulu on Jan 14, 2017 18:50:29 GMT
Agree, the data points are not sufficient for proper analysis. You get more data in individual loan pages, but that is extremly time consuming to etract data for analysis. And even if you would, the time period is often too short or loan cohort too small to do real data mining.
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