One thing that has undergone hyperinflation in recent years is the length of financial regulations:
The Dodd-Frank regulatory hyperinflation crowds out those who cannot afford teams of legal counsel, compliance officers, and expansive litigation. Dodd-Frank creates new overheads which are no challenge for large hedge funds and megabanks armed with Fed liquidity, but a massive challenge for startups and smaller players with more limited resources.
The law requires Hedge Funds to register with the Securities and Exchange Commission, supply reams of sensitive data on trading positions, carefully screen potential investors, and hire compliance officer after compliance officer.
So, is this expansion in volume likely to improve financial stability? No — the big banks are bigger and more interconnected than ever, which was precisely the problem before 2008, and they are still speculating and arbitraging with very fragile strategies that can incur massive losses as MF Global’s breakdown and more recently the London Whale episode proves.
Andy Haldane laid out the problem perfectly in his recent paper The Dog and the Frisbee:
Catching a frisbee is difficult. Doing so successfully requires the catcher to weigh a complex array of physical and atmospheric factors, among them wind speed and frisbee rotation. Were a physicist to write down frisbee-catching as an optimal control problem, they would need to understand and apply Newton’s Law of Gravity.
Yet despite this complexity, catching a frisbee is remarkably common. Casual empiricism reveals that it is not an activity only undertaken by those with a Doctorate in physics. It is a task that an average dog can master. Indeed some, such as border collies, are better at frisbee-catching than humans.
So what is the secret of the dog’s success? The answer, as in many other areas of complex decision-making, is simple. Or rather, it is to keep it simple. For studies have shown that the
frisbee-catching dog follows the simplest of rules of thumb: run at a speed so that the angle of gaze to the frisbee remains roughly constant. Humans follow an identical rule of thumb.
Catching a crisis, like catching a frisbee, is difficult. Doing so requires the regulator to weigh a complex array of financial and psychological factors, among them innovation and risk appetite. Were an economist to write down crisis-catching as an optimal control problem, they would probably have to ask a physicist for help.
Yet despite this complexity, efforts to catch the crisis frisbee have continued to escalate. Casual empiricism reveals an ever-growing number of regulators, some with a Doctorate in physics. Ever-larger litters have not, however, obviously improved watchdogs’ frisbee-catching abilities. No regulator had the foresight to predict the financial crisis, although some have since exhibited supernatural powers of hindsight.
So what is the secret of the watchdogs’ failure? The answer is simple. Or rather, it is complexity.
Big, messy legislation leaves legal loopholes that clever and highly-paid lawyers and (non-) compliance officers can cut through. Bigger and more extensive regulation can make a system less well-regulated. I propose that this is what the big banks will use Dodd-Frank to accomplish.
I predict that the regulatory hyperinflation will make the financial industry and the wider economy much more fragile.