Streetwise Professor

October 23, 2012

La Plus Ca Change, Trading Edition

Filed under: Derivatives, Economics, Exchanges, Politics, Regulation — The Professor @ 12:11 pm

On Friday’s anniversary of the ‘87 Crash, the WSJ put some of the articles from the days after on its website.  This one in particular makes fascinating reading, and is quite enlightening for those who pine for the good old days, when markets were slow and the livin’  (and tradin’) was easy.

For even back in those lost and lamented days when trading took place face-to-face on the floors, during times of market stress things seemed to move fast.  Very, very fast:

And the stock-index markets were leading the way down — fast. In a nightmarish fulfillment of some traders’ and academicians’ worst fears, the five-year-old index futures for the first time plunged into a panicky, unlimited free fall, fostering a sense of crisis throughout U.S. capital markets.

. . . .

Within seconds of the open, S&P 500-stock index futures prices sank 18 points — surpassing the nerve-racking record declines scored in an entire day on Friday. Salomon Brothers Inc. began unloading contracts at an unheard-of rate of 1,000 at a time, dumping more than $600 million in stock-index futures in the first hour of trading alone, one pit trader estimated. Salomon officials couldn’t be reached for comment on the estimate.

[Emphasis added.]

Note too that the big orders are not a modern phenomenon that arose only when HFT algos came on the scene.

And liquidity suppliers fleeing the market is not the monopoly of modern computerized trading where HFT is prevalent:

Then, as buyers fled the market in alarm, trading nearly dried up, temporarily preventing the markets from functioning as a hedging mechanism — their principal reason for existence.

. . . .

Yesterday, as institutions and investors scrambled to lay off at least some of their risk in futures, trading in the index markets virtually dried up at several points, threatening a liquidity crisis on the Merc’s trading floor. At mid-morning, the S&P prices were moving up two points, then back down, in less than a minute, as sellers scrambled to fill orders at any price they could get.

One difference between human and computerized market makers.  Computers don’t cry:

Up the street at the Chicago Board Options Exchange, a market maker wept softly in the men’s room.

One other thing from the article caught my eye:

With trading delayed in many major New York Stock Exchange issues because of order imbalances, Chicago’s controversial “shadow markets” — the highly leveraged, liquid futures on the Standard & Poor’s 500 stock index — were, for just a few minutes, the leading indicator for the Western world’s equity markets.

Shadow markets. Really?  The only market that was open for a while, the only one that was discovering prices-that’s the shadow market?  An interesting comment on the WSJ’s-and Wall Street’s-attitude towards futures markets at the time. Note that now, futures markets are considered worth emulation, and the demonization has been focused on the new “shadow market”: OTC derivatives trading.

As I’ve written numerous times: things aren’t all that different now.  The economics of markets and market making are pretty much the same in computerized and open outcry environments.  When it hits the fan, things move very rapidly in both.  There is no Golden Age of leisurely markets.

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October 19, 2012

25 Years After: The Real Lesson of the Crash

Filed under: Clearing, Economics, Exchanges, Financial crisis, History, Politics, Regulation — The Professor @ 10:07 am

Today is the 25th anniversary of Black Monday, the 1987 Crash.  This event had a profound effect on my professional trajectory.  I worked at an FCM at the CME-GNP Commodities-during the Crash.  The firm was owned and run by Brian Monieson, a former chairman of the Merc, and a board member at the time.  I walked into his office on the morning of the 20th, and he told me about how the CME clearinghouse had almost failed.  I had only a dim appreciation for clearing prior to that, but that sparked my interest in the subject.

Little known fact: I Granger Caused the Crash.  Throughout the late summer and fall of  ’87 I had been having issues with my direct boss, and soon after I defended my thesis in August I had received a good offer from one of my advisors, Dennis Carlton, to work at Lexecon.  I tried to work things out at GNP, but by mid-October it appeared hopeless.  I told Brian, and we had several phone calls on the 17th and 18th where he tried to convince me to stay.  I thought it over, and on the evening of the 18th decided that it wasn’t going to work.  So I walked into my boss’s office at 7AM on the 19th and slapped down my resignation letter on his desk.  Apparently the news leaked, and the rest is history :-P

The anniversary has spurred retrospectives from many quarters.  Many of these focus on the role of computers in the Crash, and how this was a harbinger of the supposed horrors the machines are inflicting on the markets today.  One good-well, representative-example of this is “Rage Against the Machine” in the FT:

It has been 25 years since Black Monday, when stock markets crashed around the globe and Wall Street woke up to the risks of computerised trading.

Yeah.  The computers were blamed then.  Suspect number one was “program trading”, a good deal of which was garden variety index arbitrage.  This is not a destabilizing strategy, and numerous postmortems absolved program trading as a cause or aggravator of the Crash.

Indeed, if technology was a problem, it wasn’t that computers were trading too fast: it was that printers were printing to slow.  Seriously.

At GNP we did a little index arb trading.  In the morning, it appeared that the arb was extremely profitable.  The price of the cash index (we were doing MMI) was way, way above where the futures were trading.  It looked like a great opportunity.  My colleague Matt who was in charge of this called down to the CBT floor before doing a trade, to see where the floor was trading.  Our floor clerk said (I don’t remember the numbers exactly): “Somebody is offering X over here.  Somebody else is offering X+20 over there.  Somebody else is offering X-20 over there.  I have no fucking idea what the price is.”  Matt didn’t make the trade.

Which was good, because the apparent opportunity was a mirage.  That’s where the slow printers come into play. Specialist posts on the NYSE had old fashioned daisy wheel printers.  Very, very slow.  They were overwhelmed by the order flow.  At 10AM the printers were spitting out orders that had been entered at 8 or earlier.  So the orders being executed on the NYSE were actually very stale, and the prices didn’t reflect current market conditions.  The futures didn’t have that problem.  So at 10 or 11 NYSE prices were reflecting orders submitted hours before, and the futures were reflecting current conditions.  Hence the futures were way below the cash, making it appear that there was a huge arbitrage opportunity.

The problem was that this induced more people to submit sell orders to the NYSE before they caught onto the fact that NYSE prices were not reflective of current conditions.  This exacerbated the backlog on the printers.

So it wasn’t fast technology that caused problems on 19 October ‘87.  It was slow technology.

Program trading wasn’t an issue, really, but portfolio insurance was.  This is sometimes called “computerized trading” but it’s not, really.  Yeah, computers were used to calculate deltas, and these deltas were used to determine trading strategies.  You could have used an HP-12C (complete with Reverse Polish Notation!-and no, that’s not an ethnic joke) and the normal cdf table from Handbook of Tables For Mathematics (pp. 922-929 of the Fourth Edition) to do the same thing.

The problem with portfolio insurance was that, unlike index arbitrage and most market making strategies employed today in HFT, it was a positive feedback strategy, rather than a negative feedback strategy.  As prices fell, portfolio insurers had to sell more, which drove down prices further, which led them to sell more . . . until they pulled the plug on the strategies.  That is, unlike market making strategies which are buy low-sell high trades, portfolio insurance was buy low, sell lower.

The FT article uses the ‘87 Crash as a springboard to make the usual litany of complaints about current market structure and computerized trading.

Some of the criticisms are defensible.  The current fragmentation of equity structure in the US is indeed the product of SEC RegNMS, which I characterized at the time of its introduction as implementing an “information and linkages” approach to market structure, in lieu of mandating a CLOB.  This socialization of order flow has some problems, particularly during times of market stress.  Links are vulnerable during times of stress.  Moreover, the proliferation of order types that has complicated trading dramatically is directly the result of this approach: many of the new order types are related to order routing, which is a much more complex task with many execution venues as opposed to one (as in futures markets where order flows are not socialized).

Other criticisms are less defensible.  The authors of the FT piece are apparently scared of the dark, as they warn of the dangers of dark pools.  These things are not new.   They just used to be called “third markets” or “block markets”.

The FT piece also warns that in the computerized world, liquidity can evaporate quickly.  They acknowledge that liquidity evaporated quickly in the old days-as it did on Black Monday-but suggest that can happen more quickly today.  Not really.  At all.  Locals could shut up or keep their hands in their pockets very quickly back on the floor if it looked like order flow was getting toxic.  And they were pretty quick at picking up on that.  Moreover, during the Crash clearing firms pulled their locals from the pits.  You would have thought that the pits would have been in a state of pandemonium on the 19th, but after the initial frenzy, they were actually spookily empty, as most locals and many brokers had been yanked from the floor by their clearing firms.

In brief, the functions of markets haven’t changed.  The technology for performing these functions has.  But the fundamental economics of performing the functions hasn’t.  Face-to-face and machine-to-machine markets have the exact same basic vulnerabilities.  Those who focus on the technology miss the economics.

The FT article, and others like this one in Bloomberg,  blame computerization and HFT, and the consequent alleged “loss of confidence” among investors, for the decline in equity volumes recently.  Color me skeptical.  Futures volumes have dropped too, despite a very different market structure, and a different composition in market users.

Historically, trading volume has ebbed and flowed.  It ebbed and flowed in the pre-computer era. It shouldn’t be any surprise that it ebbs and flows now.

If you are looking for the big lesson from the  1987 Crash that we should heed today, ignore all the BS about technology.  Look at clearing.  Look at the Brady Report and other post-Crash studies of what happened in clearing.  That’s what almost brought the markets down.  The operation of variation margining-which is usually a source of stability-threatened to bring the markets to a halt, with even more devastating consequences.

Then think of what will happen during the next big market move, given that the scope of clearing has been expanded substantially due to Frankendodd, and parallel efforts around the world.  Don’t worry about the technology of execution: worry about what happens after the trade, during clearing and settlement.  That’s where the truly systemic vulnerability lies.

There’s an old adage in the military: amateurs talk tactics, professionals talk logistics.  In the markets, the parallel is that most commentary focuses on execution, when much of the real important action happens out of sight, in clearing and settlement-the logistics of the financial markets.  That happened in post-Crash commentary, and it is being repeated today.  That’s a big mistake.  When looking for object lessons from Black Monday, don’t look at the computers and the execution of trades.  Look at what almost happened with disastrous consequences in clearing.  And worry deeply about how the system is vulnerable to a repeat in the future.  Arguably more vulnerable, given the dramatic growth in the size of the markets and the mandated reliance on clearing, and margining of non-cleared derivatives.

That’s the lesson I first began to grasp in Brian’s office early on 20 October.  And that experience has decisively shaped my criticism of efforts, like Frankendodd, intended to fix the markets.

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October 18, 2012

High Frequency Scapegoating

Filed under: Economics, Exchanges — The Professor @ 7:50 pm

As soon as I heard about Google tanking 10 percent, leading to a trading halt, in response to a prematurely released earnings announcement, I asked myself: “I wonder how long before someone blames HFT.”  I didn’t have to wait long.  Almost immediately afterwards, Jim Cramer (gag) and Harvey Pitt were on CNBC putting the blame on computerized trading.

Let me get this straight.  Extremely bearish information about GOOG is released.  GOOG immediately tanks.  Trading in the stock is paused.  On resumption of trade, the stock trades a little off its lows, but 8 percent below the pre-information level.

Uhm, isn’t that the way efficient markets are supposed to work?  Aren’t prices supposed to drop immediately upon the release of bad news, and stay down (absent any offsetting good news)?   Didn’t this happen before HFT?  Like forever?

So what’s your problem, Cramer?  (I’m talking about the market, not you personally-I don’t have enough time to even begin with your issues.)  Are you just ticked that the price doesn’t move down slowly, giving turkeys like you a chance to make money at the expense of even slower turkeys?

I often quote Captain Renault (Claude Rains) from Casablanca to describe how any price move in commodities is pinned on “speculators”: “Round up the usual suspects.”  When it comes to any big move in the stock market, the only thing that has to be changed is to substitute the singular for the plural: “Round up the usual suspect.”  Because its always about HFT/algos.  High frequency scapegoating.

Google was PO’d at the premature release of the earnings numbers by RR Donnelly.  The main reason it was PO’d is that the premature release prevented it from spinning the awful news.  When it did have the opportunity, Larry Page delivered one of the most mendacious statements imaginable:

“We had a strong quarter,” Page’s statement said. “Revenue was up 45 percent year-on-year, and, at just fourteen years old, we cleared our first $14 billion revenue quarter. I am also really excited about the progress we’re making creating a beautifully simple, intuitive Google experience across all devices.”

“I’m really happy with our business…Not bad for a teenager,” Page added on the earnings call.

Who you gonna believe, Larry or the lyin’ market?

Do no evil.  More Orwellian by the day.

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October 16, 2012

Pick Your Poison

Filed under: Clearing, Commodities, Derivatives, Economics, Exchanges, Financial crisis, Politics, Regulation — The Professor @ 3:40 pm

This afternoon I attended the Working Group on Financial Markets at the Chicago Fed.  The scintillating topic was segregation models.  Really!  It was scintillating!  For a certain kind of geek, of which I am one.

It was scary, actually.

Segregation of customer money has been a subject of discussion post-Frankendodd, and I have written several posts on the subject.  Segregation has received even more discussion post-MF Global (AKA Corzine-gate, but since he’s a made man I guess he will skate).  The model that has been implemented for cleared swaps, and which (according to clearing maven John McPartland of the Chicago Fed) is likely to be adopted for cleared futures is LSOC-legally segregated, operationally commingled.

Back in the summer of 2011, I wrote that segregation could make the markets more fragile, because it would tend to reduce credit (mainly intraday credit) used to finance variation margin.  This is important, because the markets depend on using credit to fund margin payments.  If this credit freezes up, the markets will freeze up.  Indeed, a cleared system works on such tight deadlines that an interruption of credit can be catastrophic.  If margin calls aren’t met in a timely fashion, absent credit, margin payments don’t flow to those on the winning side of trades.  When this happens, the clearing system breaks down.  And in a Frankendodd world dependent on clearing, a breakdown in clearing means a meltdown in the markets.

Indeed, even delays of hours or even minutes in making margin payouts, or doubts that CCPs will make margin payments in a timely fashion, can be catastrophic.  Almost exactly 25 years ago, on 19 October, 1987, the mere rumor that the CME would not pay out variation margin led to a run on FCMs and the CME clearinghouse that almost brought the market to a crashing halt.

One of the speakers at today’s event, Barclays’ Kevin Murphy, noted that under segregated models FCMs don’t have a lien on  the collateral in customer accounts.  Which means they won’t extend credit to customers because there is no collateral backing the loans.  Murphy said that broker intraday credit is likely to be a thing of the past under greater segregation.

Think of the consequences on a day when markets move a lot.  Those on the winning side are expecting to receive variation margin payments.  Those on the losing side will be scrambling for cash to meet their VM obligations.  Where will they get it?  Not from their FCMs.  From their banks?  Uncertain-even if the customers arrange credit lines, banks can often find reasons to delay providing the credit, or not providing it at all.

This all means that there is a risk that VM owes will not be paid in time.  With no credit being extended, or the amount of credit being sharply constrained, there is a serious risk that VM pays will not be made on time.   If that happens, particularly during a period of market stress, all bets are off.  Almost literally.  People will fear that CCPs are insolvent, and there will be runs on them-people will liquidate positions to recover their margin money.

That would be very ugly indeed.  Again, a cleared system is very tightly coupled, more tightly coupled than OTC markets.  Tightly coupled systems are more prone to going non-linear, and failing catastrophically.  Segregation increases the tightness of the coupling.   Connect the dots.

Of course, markets don’t stand still.  People will recognize the need for contingent liquidity, and make arrangements for it.  But will those arrangements be as robust as the system we have now?  There is serious room for doubt.  If more robust alternatives are available, why weren’t they chosen before?  I know this argument is not dispositive, given the coordination issues involved, but there are strong incentives to adopt better systems.   We should be very leery of changes that implicitly assume that market participants with large amounts of money and risk in the game systematically choose wrong.

The whole move to clearing has been intended to wring credit risk from the derivatives markets.  But every move to reduce credit risk-including moves to greater segregation-almost always involve creating greater liquidity risk.

If given a choice between credit and liquidity risk, I would choose credit risk every time .

In other words, you have to pick your poison: credit risk or liquidity risk.  Yeah, credit risk may be like arsenic.  But liquidity risk is more like cyanide.

I know which one I would choose.

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Goring Oxen in Natty Gas

Filed under: Commodities, Derivatives, Economics, Exchanges, Regulation — The Professor @ 3:08 pm

Jerry Dicolo of the WSJ has a piece on allegedly disruptive high frequency trading strategies that have been employed in the natural gas futures markets immediately surrounding the release of the weekly storage report.  Exactly what is going on here is hard to surmise, but what makes most sense to me is that the HFT traders at issue are gunning the stops.  That is, they are entering big orders to blow through the standing limit orders, moving prices, hoping to trigger buy stops (if they are buying) or sell stops if they are selling: the triggering of the stops creates the kind of short term momentum that the HFT traders can profit from by taking the other side of the stops.

Another example, as if one is needed, of the dangers of stops.

And it should be noted that gunning the stops is not the product of this newfangled electronic trading.  It happened on the floor with some frequency.  There are manipulation cases from the 1960s, if memory serves, related to gunning stops.

It’s also worth noting that there is exactly one data point in the story, August 16th.  It would be worthwhile to see if similarly allegedly anomalous price action took place prior to late-2006 when the market migrated to the screens.  I’m betting you could find more than one.

The article suggests that what is attracting HFT to the gas market is not the opportunity to play games for a few minutes once a week.  Instead, entry of HFT is being spurred by wide spreads in the gas market, as compared to equities.  HFT competition has narrowed spreads to virtually nothing in equities, so HFT traders are looking for markets with fatter margins.  Which is why they are moving into commodities:

High-frequency firms—whose activities can range from market-making on behalf of clients to trading for their own accounts—have wrung profits from the stock and other markets for years. But recently, their increased action in commodities, natural gas in particular, is spooking some veteran traders. That could leave the market reliant on computerized trading systems and potentially reduce liquidity when it is most needed.

“We can fight over fractions of a penny in stocks, or full pennies and more in natural gas,” said a programmer at a New York high-frequency trading fund.

Uhm, that’s the way markets are supposed to work.  Entry reduces prices and drives returns to just cover the cost of capital.  Which is exactly why some “veteran traders” are “spooked.”  They can’t compete against HFT.  Their oxen are being gored, just as traditional market makers’ oxen were gored in equities.

The new entrants may play shenanigans like gunning stops-but “veteran traders” did that too-another reason for “veterans” to resent HFT, for elbowing in on their racket.  Such shenanigans should be addressed by more targeted deterrents, rather than Euro-esque attempts to hamstring HFT.

I expect that spreads in natural gas, and commodities generally, will narrow as HFT technology and capital moves into those markets.  As for fears that this liquidity will dry up when it is needed most, again, this is not unique to electronic markets or HFT.  It is a feature of market making general.  Market makers reduce their supply of liquidity when they suspect order flow is toxic, or when risk is rising substantially.  It was so when market makers wore handle bar mustaches and button up shoes and stood in trading pits.  It will be so when market makers are co-located servers.  It’s inherent in the nature of market making, not in the technology.

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October 12, 2012

Happy Sorcerer’s Apprentice Day: Frankendodd Now Rules

So today, 12 October, 2012, is the day when many Frankendodd rules go into effect.  Swap dealer registration for instance: but not position limits!

Yes.  848 pages of legislation (or 2319 pages, depending on how you count)-where commas matter-that spawned thousands of pages of rules (over 9k as of July, and where commas will also matter) that will spawn thousands more pages of interpretations, no action letters, legal rulings, etc.  All in an attempt to re-engineer a devilishly complex, interconnected financial system.  A system that will not stand still, but which will change in response to the law and the regulations, thereby producing myriad unintended consequences.

I’m sure it will turn out just swell.  Timmy! and GiGi and their successors have everything under control.  They’re from the government and there to help you!  Trust them on this!  Don’t you worry your pretty little head over it.

JK.  In reality, Mickey Mouse (how appropriate) gives you a better idea of how things are likely to turn out.

I fearlessly predict that the next financial crisis will follow directly from Frankendodd. It is a monster, which like Frankenstein’s, will escape its master’s control and wreak havoc. Mark my words.

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October 2, 2012

Reason Sometimes Prevails-Even With Regulators

Filed under: Clearing, Derivatives, Economics, Exchanges, Financial crisis, Politics, Regulation — The Professor @ 12:49 pm

The Bank of Canada has decided that Canadian entities can meet their G-20 clearing obligations by clearing with international CCPs like LCH or CME.

The alternative-which was seriously considered, until fairly recently-was to require the formation of a domestic Canadian CCP through which Canadian financial institutions would be required to clear.  The Bank of Canada was leaning towards a “Canadian solution” because it believed that it could monitor such an institution more effectively, that a domestic CCP would insulate Canada from global financial shocks, and that it would be easier to provide C$ liquidity support to a domestic entity.

I co-authored a study for the Canadian Market Infrastructure Committee (CMIC) which argued that (a) these benefits were illusory because there would be C$ swaps traded by non-Canadian entities and non-Canadian entities would likely be important members of a Canadian CCP due to scale and scope economies, and (b) mandating clearing via a domestic CCP would dramatically increase collateral and liquidity costs of trading C$ swaps due to the fragmentation of netting sets (among other reasons).  As a result, I/CMIC recommended that Canadian banks, investment funds, and insurers be permitted to meet their G-20 obligations with an international clearer that could margin more efficiently.

It’s good to see that BoC acknowledged the force of these arguments, despite its initial preference for a domestic CCP.  Reason sometimes prevails.

I’m less enamored with BoC Deputy Director Timothy Lane’s argument that commodity trading firms (e.g., Cargill, Glencore, Vitol, Trafigura, Dreyfus) are systemically important.  Much more on that subject soon-it consumed much of my summer.  Hopefully he’s open to persuasion on this issue, as he was on the necessity of mandating the use of a domestic CCP for Canadian IRS.  But it would be gratuitous of me to make too much of a bother of the global commodity trading firm (“GCTF”) matter now.  So I say kudos to Mr. Lane, and the BoC, for setting priors aside; evaluating the arguments and evidence; and coming to the right choice (IMO) with respect to clearing of C$ swaps.

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October 1, 2012

The Euros Want to Fix Computerized Trading In The Worst Way, and are Succeeding

Filed under: Economics, Exchanges, Financial Crisis II, Politics, Regulation — The Professor @ 11:20 am

HFT is under continued assault, both in the press and from regulators and legislators.  Europe is taking the lead on this, and Mifid II will impose some restrictions on HFT.  The Germans are particularly hot on restricting it, and are proposing other measures as well.

One goal of these regulations is to increase liquidity, and to improve the quality of liquidity.  Perversely, however, certain of the regulations intended to have these effects will do the exact opposite.

In particular, as I’ve argued since soon after the Flash Crash when many of these ideas were first proposed, things like minimum resting times for limit orders will reduce liquidity and make sudden reductions of liquidity more likely precisely when order flows become more toxic.  Limit orders are like options granted by the market maker, and extending the lifetime of the option increases its cost-particularly during times of high volatility and high order flow toxicity.  If you increase the costs that market makers, including those using HFT strategies to make markets,  incur to quote, they will quote wider, they will quote less, and their quotes will become particularly wide and particularly scarce during periods of elevated uncertainty.

In other words: there is no free lunch.  You raise the costs of market making, and liquidity costs go up.  Period.

Larry Tabb makes the point quite well:

So what will happen? If we mandate longer time in force periods, lower cancellation ratios, and higher market maker participation rates, liquidity providers will just widen their spreads to compensate them for the greater risk.

Won’t this force real investors to come in and bid? They may, however investors don’t quote on both sides of a market. They either buy or sell and not both. So many more quoting investors would be needed to make up for fewer market makers and HFT.

But, will HFTs actually leave? Market makers may leave but high-speed traders probably won’t; they will just change their stripes. Liquidity providers will flip to liquidity takers. Given a speed advantage, if it no longer serves a high-speed trader’s purpose to provide liquidity, they can just as easily take it. And since market makers and quoting investors are locked into providing liquidity for at least 500 milliseconds, HFTs will be the first to pick off every stale quote. And with a half second quoting mandate, there will be plenty of stale quotes to go around.

This last point is particularly powerful.  The regulations will penalize liquidity suppliers not just directly, but indirectly, by actively encouraging predatory/opportunistic algorithmic/HFT strategies that look for and pounce on quotes that are stale and not reflective of current information because of the restrictions on the time quotes must be enforced, and on cancellation and participation ratios.  (Note: these last restrictions are likely to create some rather complex time dependencies that can create some unanticipated sources of instability.  A trader’s current quoting behavior will depend on his past cancellation and participation rates, not just on current market conditions.  That adds a complex new feedback to an already complex process.)

The elimination of tiered pricing (e.g., differential pricing for quote makers and quote takers) will also tend to reduce liquidity.  Why don’t exchanges have the incentive and the information to get that right?  They are much better incentivized and informed than regulators.

So as Larry indicates, the regulations will reduce liquidity by raising the cost of quoting directly, and indirectly as well by encouraging predators to feast on those brave enough to quote:

So let’s combine points. Market makers will leave, spreads will widen, investors will post quotes, but HFTs instead of posting will take quotes. With investors’ quotes being frozen, HFTs will just pick off those investors. And once these investors learn this game they will stop posting, and then there will be little incentive for anyone to post quotes as the value of the limit order option grows just as the compensation to the option poster falls.

But won’t HFTs run afoul of HFT rules, you ask. Not really, since many of these rules focus on liquidity posting and not liquidity taking. If you take liquidity, there is no need to post or cancel, so cancellation rates decline to zero, and time-in force rules become immaterial.

Great.

Mifid II will also restrict those scary dark pools, in particular by banning crossing networks.  Which, as Tabb notes, will expose those seeking liquidity to predatory HFT, and other predatory strategies that raise execution costs.  For dark pools exist precisely to reduce the execution costs of those who are uninformed liquidity demanders. They swim in a (dark) pool because they don’t want to swim with the sharks in the open waters of the public markets.   Mifid will deprive them of that safe harbor, with the predictable result that Larry describes:

If all of this comes to pass, spreads will widen, depth will evaporate and there will be fewer places to hide as broker dark pools will face restriction. And the life of the buy-side trader, instead of becoming easier, will become much harder. And who suffers? The people who always suffer: the investors.

In other words, the Sorcerer’s Apprentices are at it again.  They claim to work magic that will make investors’ lives easier, but will in fact unleash forces that will wreak havoc.  And, no doubt, they will use the resulting havoc as the justification for yet more magical regulatory spells.

Not all HFT is good.  Not all algorithmic trading is efficiency enhancing.  It would be worthwhile to explore ways of curbing the inefficient forms of computerized trading without harming good forms.  There is justification for some regulation that can reduce the likelihood and impact of bad algos.   Mifid II is unlikely to have these effects.  Indeed, in my opinion-and in Larry Tabb’s too-it will likely have the exact opposite effect, and will disproportionately damage the beneficial forms of computerized trading and off-exchange trading.

Like the old joke says.  The Euros want to fix computerized trading in the worst way.  And they are succeeding.

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Watch Where You Put That Comma, Barney

Filed under: Commodities, Derivatives, Economics, Energy, Exchanges, Financial crisis, Politics, Regulation — The Professor @ 3:43 am

I had a chance to read Judge Wilkins’s decision in the position limits litigation on a flight over to London, where I am speaking on the impact of financial regulation, at a conference put on by Lloyds Bank.

There is virtually no economics in the opinion-it is a highly technical analysis of issues related to administrative procedure, statutory interpretation, and the like.  The perfect thing to read while trying to get sleepy as part of my jet lag management strategy.

How technical?  The placement of commas technical.

There are essentially two parts to the decision.  The first relates to § 6a(a)(1) of Frankendodd.  This part is straightforward.  Judge Wilkins ruled that it was unambiguous that the CFTC had to make a finding of the necessity of position limits.  It didn’t.  Back to the drawing board, GiGi.

The second part relates to sections 6a(a)(2), (a)(3) and (a)(5).  Here you have to get into the weeds.  These Judge Wilkins found to be ambiguous.  The ambiguity relates to the words “as appropriate,” as in:

Section 6a(a)(2)(A):

In accordance with the standards set forth in paragraph (1) of this subsection . . . the Commission shall by rule, regulation, or order establish limits on the amount of positions, as appropriate, other than bona fide hedge positions, that may be held by any person . . .

Section 6a(a)(3):

In establishing the limits required in paragraph (2), the Commission, as appropriate, shall set limits –

(A)on the number of positions that may be held by any person for the spot month, each other month, and the aggregate number of positions that may be held by any person for all months; and . . .  [Emphasis added.]

What Judge Wilkins could not determine unambiguously was whether “as appropriate” referred to the setting of limits at all, or the specific quantity of the limits.  The plaintiffs (ISDA and SIFMA) argued that the CFTC had to determine whether it was appropriate to set limits at all.  The CFTC argued that it had to set some limits, and Congress directed it to set the specific quantities appropriately.

This is where the commas come in.  I won’t bore you with the details, but if you are planning any intercontinental travel, I direct your attention to pp. 29-30 of the ruling.  You don’t have to thank me for easing your jet lag.

This matter of ambiguity turns out to be mightily important under the Chevron doctrine which determines whether a court need show deference to an agency’s decision.  And here the CFTC (and yes, I’m looking at you, Gary) is hoist on its own petard.

For the CFTC claimed that the language in the statute is NOT ambiguous.  Citing the Peter Pan (!) case, the Judge ruled that by claiming that the ambiguous wasn’t, the CFTC wasn’t owed any deference, and that there is precedent in his Circuit to vacate and remand the rule:

It is well-settled in this Circuit that “deference to an agency’s interpretation of a statute is not appropriate when the agency wrongly believes that interpretation is compelled by Congress.” Peter Pan, 471 F.3d at 1352, 1354 (internal quotation marks and citations omitted) (vacating and remanding agency decision because agency “premised its construction on the plain language of the statute, which it treated as unambiguous, and because we find that the statutory language is in fact ambiguous . . . .”).

Whoops.  By adamantly asserting that there was no ambiguity in the relevant sections of Frankendodd that the judge did find ambiguous, the CFTC lost any claim to deference.

Where do things go from here?  Probably a ping pong game, with the rule bouncing back between the agency and the courts.

Presumably the CFTC will stitch up some justification for a necessity finding, and go into a long disquisition to meet step two of the Chevron test:

“[I]t is incumbent upon the agency not to rest simply on its parsing of the statutory language. It must bring its experience and expertise to bear in light of competing interests at stake” to resolve the ambiguities in the statute.

I don’t know whether a justification of a necessity finding that is based on bad economics or bad (or no) empirical evidence is vulnerable to legal challenge.  I suspect it would be difficult for the plaintiffs to get the rule overturned because of a weak justification for the necessity finding.  I also suspect that CFTC will be able to pass the Chevron tests if it does recognize the ambiguity-which makes me wonder why they didn’t so recognize it at the outset.

My guess, therefore, is that the CFTC can, after yet more hearings, and comments, and time, correct what Judge Wilkins found wanting.  But that doesn’t mean that it’s out of the woods yet.  Not by a long shot.  For the plaintiffs made four additional challenges of the rule.  The judge did not feel it necessary to rule on these additional charges because he found sufficient grounds in the first to remand the rule back to the agency.

Notable among the additional grounds for challenging the rule is “Insufficient Evaluation of Costs and Benefits under 7 U.S.C. § 19(a).”  Will the CFTC stand pat on its existing cost-benefit analysis, which gives the word “perfunctory” new meaning?  Or will it feel obliged to gin up something better, given that the court was obviously not impressed with some of its other legal reasoning, and given that the SEC has lost a major case due to its failure to do a proper cost-benefit analysis?

The other challenges relate more to the specifics of the rules.

In brief, they have not yet begun to litigate (apologies to John Paul Jones).  The position limit rule has a long, long way to go before it becomes a reality.

This also raises the question of whether other Frankendodd-spawned rules will be challenged.  I’m guessing yes.  And there will be much rejoicing-among lawyers, anyways.

It is a good thing when bad rules are stopped.  The ongoing uncertainty pending definitive legal resolution is more problematic, however.  But that’s our reality, and will be for some time, on position limits, and other aspects of Frankendodd.

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September 29, 2012

No Theory? No Evidence? Big Problem!

Filed under: Commodities, Derivatives, Economics, Energy, Exchanges, Financial crisis, Politics, Regulation — The Professor @ 7:42 am

The title of my 2010 Regulation piece on CFTC position limits characterized the agency’s attitude as: “No Theory? No Evidence? No Problem!”  I had a problem with that attitude.  So did a couple of industry groups, ISDA and SIFMA, and they sued seeking to block imposition of the limits.  And Federal District Court Judge Robert Wilkens has a problem with it too.  He vacated the rule and remanded it to the agency for reconsideration, and granted the plaintiffs’ summary judgment motion against the rule.

The decision turned on whether the CFTC had to find that position limits were necessary to prevent and diminish excessive speculation.  The agency said no: it had no discretion, that Congress had mandated that it impose limits.  The plaintiffs said yes: the plain language of the statute requires the CFTC to make a finding that limits are necessary because speculation is excessive and is causing unwarranted fluctuations in prices.

The agency further argued that imposition of limits were mandatory, whereas plaintiffs pointed to statutory language saying that Congress had granted the authority to impose limits “as appropriate.”

The judge was quite firm in his findings regarding necessity:

The precise question, therefore, is whether the language of Section 6a(a)(1) clearly and unambiguously requires the Commission to make a finding of necessity prior to imposing position limits. The answer is yes.

But the plaintiffs’ victory was not so clearcut as has been portrayed in the initial reporting on the decision.  The judge noted that the two sides had unambiguous, but diametrically opposed interpretations of the statute.  The judge disagreed with both, finding the statute ambiguous:

In sum, although each party believes the statute is clear and unambiguous, their respective “plain readings” compel different results. Ultimately, however, this Court need not choose between the competing interpretations. As explained below, Section 6a is ambiguous as to the precise question at issue: whether the CFTC is required to find that position limits are necessary and appropriate prior to imposing them. Because the Position Limits Rule is based on the CFTC’s erroneous conclusion that the CEA is unambiguous on this issue, the Court “may neither defer to the agency’s construction nor endorse plaintiffs’ construction.” See Humane Soc’y of U.S. v. Kempthorne, 579 F. Supp. 2d 7, 15 (D.D.C. 2008). Instead, the Court must remand this rule to the agency.

As a result, he chose not to choose between the parties’ diametric interpretations.  So the rule will go back to the Commission.  Presumably it will make a finding of necessity based on some attempt to stitch together some empirical evidence on the adverse impact of speculation.  Presumably the plaintiffs will find this evidence unpersuasive (with good reason) and challenge the Commission’s finding, thereby setting up a further round of litigation.  The results of this litigation would presumably depend on what is a satisfactory basis for a finding of necessity by the Commission.  This seems to me to be a potentially far more contentious issue in which the courts may be more likely to defer to the agency’s discretion and judgment.

This decision does not address another challenge to the limits: that the CFTC failed to perform an adequate cost-benefit analysis as required by statute.  That’s another big issue that would require a more discriminating critique of the substance of the Commission’s analysis by the courts.

So this decision is not the end of position limits.  It is probably the end of the beginning, at best.

The concrete results in the short and medium term are beneficial, however.  A bad rule that has no firm grounding in good economic thinking or empirical evidence, and which would impose substantial costs on markets and market participants, will not go into effect next week as planned.  The Commission will be forced to confront these economic and empirical issues, and defend its judgments on these grounds: “Congress made me do it” will not suffice.

No doubt this process will be time consuming.  It will certainly extend well past the election, and depending on the outcome of the election the matter may become moot.  A Republican CFTC is much less likely to pursue position limits with the Javert-like intensity of a Gensler-led agency.  But even under a Democratic administration, the CFTC’s will to pursue position limits will be sorely tested.  It now faces a greater burden of providing some theory, and providing some evidence, or else it will continue to experience big problems in court.

A good day, a good result, but not a final one.  The position limit wars will continue, but the battlefield looks far different today than it did when Frankendodd lurched out of the castle on The Hill, and when the CFTC did what it perceived to be the monster’s bidding.

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