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The new requirements on loan level data are fairly extensive and will certainly facilitate micro-analysis of portfolios of asset backed securities. The problem

The new requirements on loan level data are fairly extensive and will certainly facilitate micro-analysis of portfolios of asset backed securities. The problem is that this will result in even more financial engineering. The government basically doubled the amount of informaiton that loan underwriters have to take when writing loans. It even requires information such as how far the recipient lives from their primary work place (in the case of home loans). That kind of information is not easy to come by and it's certainly not easy to incorporate into an analysis. It raises the cost to the loan underwriter, to the loan issuer, to the securitization underwriter, which ultimately goes full circle back to the end consumer (credit card rates are already at 15 year highs due to the Dodd bill). There is also another side effect, this legislation, pariticularly as it pertains to securitizations which fund the majority of home loans and consumer debt, will facilitate further complex financial engineering (the more data you have, the more you're likely to use it). It will also give certain funds the opportunity to discern demographic information, which is currently not "technically" possible but will be a lot easier to do once the flood of data comes in from issuers. What i'm hinting at is that institutional speculators and investors will be able to discriminate against pools by analying income, location of workplace, years of employment (another factor), income history etc. I may be ranting so I'll cut short here. Long story short, the costs of banking are about to sky high for everyone. I am not sure the American public would support this legislation if they realized just how much it would effect their lifestyle, access to capital, cost of capital, and consumption.

jimbokun 16y ago
"What i'm hinting at is that institutional speculators and investors will be able to discriminate against pools by analying income, location of workplace, years of employment (another factor), income history etc." Isn't this a good thing? Aren't these the factors that a bank should consider when deciding to lend money? Wasn't it the lack of such analysis that led to over-valuing mortgage securities that turned out to be worthless? I'm confused.
- lefstathiou 16y ago
  You would think so but the reality is that these factors, when enforced, place certain demographic groups at distinct disadvantages. That disadvantage can be augmented when a bank can no longer hide (for all intents and purposes) who they are lending money to. For example, I could analyze a pool of loans by a Michigan based auto lender. Under current guidelines, i basically get id numbers, fico score, stats on seasoning, outstandnig balance, etc. Who knows where these people live. With new data i could start guessing with reasonable accuracy where these people live (never on an individual basis, but you can get an idea of what counties or towns). I could discern that Bank B is lending to a "riskier" demographic than Bank A. While Bank B cant legally discriminate in their lending policies, the capital markets can certainly discriminate on which notes they want to buy. This would raise the cost of capital to banks lending to "disadvantaged" groups in society (minorities, immigrants, etc).Now a quick fix is for people to analyze the data and make sure that there is no humanly way that analysts like myself can figure narrow down where people in a pool live (which allows us to make assumptions on makeup), but from what i've seen that isnt going to be the case. Now you're in a predicament. African Americans are over twice as likely to default on a home loan than their white counterparts. Who stands to lose here? Look its just a thought. Finance is so complex that it's virtually impossible to figure out the second and third layers of unintended "consequences" of monumental legislation like the Dodd bill. Things are still playing out and there are armies of lawyers trying to predict how it will affect capital markets. So much is still uncertain (which explains why the markets are behaving the way they are). One thing isnt, the middle and lower classes are going to get hit hard. Not because the rich arent being taxed enough, but because these regulations are going to make the cost of funding consumption noticeably higher across the board. My group is predicting that within 2 years we will see an end to "free" credit cards that come with rates less than 9%. With risk-based pricing out the window, issuers need to find a way to imbed reserves into their loans or recoup higher potential for loss.
  - jimbokun 16y ago
    "My group is predicting that within 2 years we will see an end to "free" credit cards that come with rates less than 9%." I still see this as a good thing. More people cutting up their credit cards is one of the best things that can happen for long term financial stability, in my opinion.

jimbokun 16y ago

"What i'm hinting at is that institutional speculators and investors will be able to discriminate against pools by analying income, location of workplace, years of employment (another factor), income history etc." Isn't this a good thing? Aren't these the factors that a bank should consider when deciding to lend money? Wasn't it the lack of such analysis that led to over-valuing mortgage securities that turned out to be worthless? I'm confused.

lefstathiou 16y ago
You would think so but the reality is that these factors, when enforced, place certain demographic groups at distinct disadvantages. That disadvantage can be augmented when a bank can no longer hide (for all intents and purposes) who they are lending money to. For example, I could analyze a pool of loans by a Michigan based auto lender. Under current guidelines, i basically get id numbers, fico score, stats on seasoning, outstandnig balance, etc. Who knows where these people live. With new data i could start guessing with reasonable accuracy where these people live (never on an individual basis, but you can get an idea of what counties or towns). I could discern that Bank B is lending to a "riskier" demographic than Bank A. While Bank B cant legally discriminate in their lending policies, the capital markets can certainly discriminate on which notes they want to buy. This would raise the cost of capital to banks lending to "disadvantaged" groups in society (minorities, immigrants, etc).Now a quick fix is for people to analyze the data and make sure that there is no humanly way that analysts like myself can figure narrow down where people in a pool live (which allows us to make assumptions on makeup), but from what i've seen that isnt going to be the case. Now you're in a predicament. African Americans are over twice as likely to default on a home loan than their white counterparts. Who stands to lose here? Look its just a thought. Finance is so complex that it's virtually impossible to figure out the second and third layers of unintended "consequences" of monumental legislation like the Dodd bill. Things are still playing out and there are armies of lawyers trying to predict how it will affect capital markets. So much is still uncertain (which explains why the markets are behaving the way they are). One thing isnt, the middle and lower classes are going to get hit hard. Not because the rich arent being taxed enough, but because these regulations are going to make the cost of funding consumption noticeably higher across the board. My group is predicting that within 2 years we will see an end to "free" credit cards that come with rates less than 9%. With risk-based pricing out the window, issuers need to find a way to imbed reserves into their loans or recoup higher potential for loss.
- jimbokun 16y ago
  "My group is predicting that within 2 years we will see an end to "free" credit cards that come with rates less than 9%." I still see this as a good thing. More people cutting up their credit cards is one of the best things that can happen for long term financial stability, in my opinion.