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stories filed under: "radical transparency"
Wall Street

Wall Street

by Mike Masnick


Filed Under:
bubble, economy, financial crisis, radical transparency, transparency



Same Economy, Different Bubble

from the and-it's-going-to-pop dept

Last year, The Onion (which has a knack for predicting the future in really scary ways) had an amusing article: Recession-Plagued Nation Demands New Bubble To Invest In. In the immortal words of Homer Simpson: "It's funny 'cause it's true." And, indeed, one of the big fears we've had since the beginning of the government's response to the financial crisis is that it hasn't been doing anything to solve the real problem of a lack of transparency. Pumping more money into the system without fixing that simply meant that we'd repeat the cycle, with the money eventually finding some bubble again.

At this point, it's worth taking a step back, and understanding why these sorts of bubbles occur. Sometimes, investment bubbles can actually be quite beneficial. In markets of true innovation, where a clear success story or business model hasn't yet been worked out, a bubble allows a lot of money to be thrown at the problem at once. From that, you get a lot of ideas tested in the marketplace very rapidly. Many of them fail once the bubble collapses, and many investors lose money, but the ideas that do work and do stick around tend to takes us forward in leaps and bounds. Bubbles in innovative technologies function as a form of speeding up the innovation process and getting lots of infrastructure built and ideas tested rapidly. It's no fun if you're caught on the wrong side of the investment, but for society, it can be a net gain.

However, that's not what happened in the last economic crash. That was built on a different sort of bubble, based not on funding innovation, but on a series of arbitrage plays where bankers actively worked to obfuscate risk, so that it could be passed on to the latest sucker. Basically, they kept taking riskier and riskier assets, and packaged them in a way that they looked less risky. Then, by making it so no one could really look at (or understand) the true risk, they could sell these super risky investments off to suckers at prices as if they were safe. And, since such a house of cards takes a while to collapse, it doesn't take long for everyone to pile in, feeling like they have to match those returns.

So, the answer to this is to increase transparency. If you could really get the information out there, such that people could look at the underlying details and properly calculate the risk, not based on random clueless rating agency employees, but in a true market, then it would be that much more difficult to pass off and misprice super risky vehicles as safe.

But that's not what's happening. Without any efforts at increasing transparency, combined with pumping a ton of new cash into the market, we're getting another bubble. The bankers are still operating the same way they did in the past -- which is looking for ways to obfuscate the risk and find new suckers to take the risk off their hands without really understanding how to price that risk. It may be securitizing life insurance or it may be in the carry trade. It doesn't really matter. The money is looking for a new bubble and a focus on short term profits over long term sustainability -- and that's enabled by allowing banks to play "hide the risk."

This is really quite worrisome. It's been over a year since the financial crisis went into panic mode (even if the actual recession and problems significantly predated that). And while the "worst case scenario" did not occur, there's been little evidence of real fixes to the economy or any attempt to really fix the factors that resulted in the original problem. Instead of creating transparency and a long term strategic focus, we're just pumping cash into the economy to try to help suckers find the next bubble.

24 Comments | Leave a Comment..

 
Wall Street

Wall Street

by Mike Masnick


Filed Under:
banks, radical transparency, risk, systematic risk, too big to fail, transparency



The Good And Bad Of Banks Too Big To Fail Getting Bigger...

from the not-all-bad,-but... dept

Ever since the whole financial crisis began, and the concept of "too big to fail" became a common phrase, I've been wondering why the US gov't didn't set up a simple provision in any bailout procedure: if you are too big to fail, and because of that need a gov't bailout, then a part of that bailout means you need to become small enough to fail. I think it's a perfectly reasonable suggestion that has been pretty much totally ignored.

So, when news came out that the biggest banks, the ones deemed "too big to fail," are now getting even bigger, you might think that I'd view that as a bad sign. And... partly, I do. But not for the reasons you might expect. The issue of "too big to fail" isn't the bottom line size of the bank, it was about how interconnected it was in the rest of the economy, and how any ripple effects of a failure would damage (significantly) other parts of the economy. But, since the government has done pretty much next to nothing to actually deal with that sort of systematic risk (and, no, putting in place a "systematic risk" manager, as we keep hearing, isn't going to fix the problem), it should come as no surprise that these banks still have such risks.

But, the fact that, by themselves, these banks are growing isn't a bad sign. Given what the government has done, it's actually a good sign. You should be a lot more upset if, after the government gave these banks so much money, they went out and lost it all. Instead, many of them have at least put it to good use (and some have returned money to the government at decent interest rates -- though, the amount returned still is a blip compared to the amount at risk).

The real issue isn't the size of the banks, but how interconnected they are. But little to nothing has been done to take on that problem -- which is a bad thing. However, given that, it's at least a decent sign that these banks we've given so much money to are actually doing better these days.

26 Comments | Leave a Comment..

 
(Mis)Uses of Technology

(Mis)Uses of Technology

by Mike Masnick


Filed Under:
data, government, radical transparency, spending, transparency, vivek kundra



What Does Radical Transparency In Government Look Like?

from the well,-this-is-a-start dept

We've certainly complained when the new administration has failed to live up to its "transparency" promises, but the hiring of Vivek Kundra as federal CIO and Aneesh Chopra as federal CTO has put two real believers in transparency and openness in charge of the technology side of our federal government... and we're starting to see the very first results of that. It's still early, but it's actually quite impressive how much Kindra has accomplished in a very short time. Tim O'Reilly details the new federal IT spending dashboards that can be found at USASpending.gov, and it's really impressive for a gov't project put together in an incredibly short period of time. It actually shows each (participating) departments' projects, including goals and how close they are to meeting those goals. Real accountability? In government? Wow. The whole thing is built in drupal and data feeds are open to the public, so others can take the data on build on it. While it may be a small thing at this point, it's a huge step directionally in showing a commitment to more openness and transparency.

18 Comments | Leave a Comment..

 
Wall Street

Wall Street

by Mike Masnick


Filed Under:
radical transparency, risk, systematic risk, too big to fail, transparency



Too Big To Fail Isn't The Problem... It's The Hidden Risk That's The Problem

from the as-if-that's-possible dept

Duncan Watts has a thought provoking writeup in the Boston Globe talking about the problems of systematic risk, and why no one could successfully see exactly how the various dominoes would fall, leading to our current (and still ongoing) economic financial crisis. Basically, his argument is that the system has become too intertwined and complex, such that no one can really manage the risk. This is hardly a new idea. Watts' suggestion (which, again, is not necessarily new, and has been discussed by many, including Treasury Secretary Tim Geithner) is that perhaps we need a "systematic risk manager" within the government, whose job (like anti-trust folks) is to look at various companies and determine if they're too big to fail -- and then see how to change things such that they're no longer too big to fail.

It's a nice idea... in theory. In practice, it's a lot harder. The very reason systematic risk is such a problem is that it's so hard to even imagine the scenarios taking place. The idea that Lehman Bros. failing would have so much impact elsewhere is simply beyond the scope of what most people could have even imagined -- and that would almost certainly include any "systematic risk manager." While I agree that it's a problem that we end up with companies that are "too big to fail," I tend to think, in the long run, it's futile to try to predict ahead of time who's really "too big to fail," but that such an issue should only come up in the event of a gov't bailout. Thus, if you need to take gov't money to stay alive because you are deemed "too big to fail," then it should be required that as a part of the terms of the deal, you need to work out a plan that makes you small enough to fail.

Otherwise, you end up in a situation where companies who are successful get penalized for it. The only time "too big to fail" is a problem is when such a company fails. We shouldn't necessarily be penalizing a company that's too big to fail if it's not going to fail.

Separately, Watts notes that this idea of trying to prevent "too big to fail" is a way of avoiding systematic risk. I'd argue he has the equation a bit twisted. Too big to fail isn't the problem. It's the hidden risk that leads a company that is "too big to fail" to fail that's the problem. The answer to that is not breaking up successful companies -- it's increasing transparency into actual risk. That means increasing openness and data sharing, rather than the status quo of quarterly reports with the real details hidden and buried beneath complexities, combined with Wall Street putting together packages whose sole purpose is designed to hide the actual risk. Make the real data transparent (and real-time) and let anyone access and mess around with the data, and you get a much more accurate view of the risk, and you avoid situations where "healthy" investments suddenly turn sour.

Watts has the right idea that systematic risk is a problem, but the wrong solution. Companies that are too big to fail failing is a symptom of a lack of transparency over the actual risk. The answer isn't to stop companies from getting so big. It's to provide more transparency into the actual risk.

27 Comments | Leave a Comment..

 
The Market

The Market

by Mike Masnick


Filed Under:
financial crisis, radical transparency



Garbage In... Radical Transparency Out?

from the one-hopes... dept

The latest edition of Wired Magazine has two articles that pick up on stuff we discussed last year. First up, was the question of how the various quants on Wall Street got so suckered into believing their risk models that didn't take into account the idea that mortgage defaults weren't necessarily independent events. The end result was garbage in, financial crisis out. However, Felix Salmon has a detailed look at the "garbage in" part of the equation. Apparently, much of it was based on widespread reliance on a formula by one financial engineer, who thought that you could price risk by finding correlations. While in retrospect this may look silly -- it should have looked silly at the time as well. It made a huge incorrect assumption: that correlations were static instead of variable. But... once it went into the "black box" people simply accepted the output as gospel. This is an issue that comes up all too often. Even if people know that a computer model is "just a model," it leads to situations where they just rely on the computer because the computer said so -- not taking into account it's obvious faults.

However, the good news is that, as a result of this mess, there may actually be some movement towards the solution a few of us have been suggesting for a while: radical transparency. Back in November, we suggested that public companies should be allowed to do away with quarterly reports in favor of real-time data dumps in standardized formats, that would allow anyone to build tools on top of the data to analyze it themselves. Rather than obscuring the real situation within companies, as is the case today, this would expose everything, and let anyone build tools to analyze the real underpinning fundamentals. It would also serve to get rid of the extremely damaging focus on "quarterly" returns at the expense of long-term thinking. And, finally, it would help combat the problem described above where everyone's relying on a black box to pop out risk metrics. Yes, many might adopt the same formulas, but by exposing all of the underlying data in a real-time format with a full API, anyone could structure their own system for reading the data and analyzing it. Then we wouldn't have silly situations where everyone believes that bundles of toxic mortgages have a AAA rating.

Of course, almost every discussion I've had with anyone about the subject had people saying the concept was so insane no one was actually thinking about it. Turns out that might not be entirely true. Daniel Roth discusses an almost identical plan in Wired, suggesting that the idea isn't so far-fetched after all. That doesn't mean anyone is going to implement such an idea any time soon, but at least the idea is out there and permeating and getting some attention. It may take a while, but eventually people will begin to realize that it makes much more sense than anything else going on these days. We're not going to fix a broken Wall Street by throwing extra money at the problem, but we might be able to fix it by opening up, adopting radical transparency, and then letting the market more accurately value things based on real data.

19 Comments | Leave a Comment..

 
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