Ed's Letter: An Affair to Remember

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<ul><li><p>2 Wilmott NBHB[JOF</p><p>EDITORS LETTER</p><p> Its somewhat natural to end the year with a look at quite how kooky people can be</p><p>With a Pocketful of Miracles</p><p> W ere bookending the year now, which </p><p>is an odd thing to do in late October </p><p>but well pretend the next eight weeks </p><p>or so arent going to happen and savor </p><p>the luxury of looking back a little, now. </p><p>It has been a year of tough lessons and getting back </p><p>on the old horse altogether somewhat conducive to </p><p>introspection. This issues cover story to a certain extent </p><p>continues in the line of last issues discussion with Gunduz </p><p>Caginalp. Its a look at the potential that psychological </p><p>dysfunction has to wreak havoc in the markets. </p><p>When we started out with this magazine nearly a dec-</p><p>ade ago, one of the things I used to say about the editorial </p><p>was that it would provide fodder for intelligent conversa-</p><p>tion at a quant dinner party. Well, when youre starting </p><p>out you clutch at anything that suggests a seeming logic! </p><p>Anyway, I think this story probably best fits into that cat-</p><p>egory. Given the tumult of the year and the amount of </p><p>focus that has, correctly, been put on psychological moti-</p><p>vation in the marketplace its somewhat natural to end the </p><p>year with a look at quite how kooky people can be.</p><p>Kookys a little too cute perhaps, but Im taking a </p><p>breather so excuse me. The capacity for self-belief is one </p><p>of the great enablers of humanity, but this confidence in </p><p>the infinite supply of miracles that can be pulled from a </p><p>pocket (whether its ones own or that of some other) also </p><p>has the potential for terrible destructiveness. We speak to </p><p>experts on gambling dependency, narcissistic personality </p><p>disorders, and profiling to get a grip on those bad apples </p><p>that come in and out of theoretical favor.</p><p>A big bad apple of course was one Bernie Madoff, </p><p>who made off with rather a lot of ill-gotten loot I dont </p><p>know where to end that sentence but I just had to get </p><p>the made off in somehow. Ed Thorp takes us back to </p><p>1991, and a point in time where he had his own brush with </p><p>Madoffs Ponzi scheme. Ed takes us through the proce-</p><p>dure by which he arrived at the conclusion that this was a </p><p>monumental con job and discusses other swindles he has </p><p>known. Its better than an episode of CSI</p><p>Aaron Brown also takes us back, roughly to October </p><p>20, 1987, a point in history where one might say risk man-</p><p>agement really came into being for the finance industry </p><p> or at least the industry realized they had to start casting </p><p>around for people who knew something about log normal </p><p>distributions. </p><p>Satyajit Das brings us right up to date, examining the </p><p>potential for mass delusion in pronouncing the Global </p><p>Financial Crisis something only to be spoken about in the </p><p>past tense. Thinking about all that really makes me feel </p><p>were done now with the introspection. What Im looking </p><p>forward to in the coming year is looking at this fascinating </p><p>phenomenon that is very behavioral in its roots but could </p><p>certainly proffer some valuable quantitative insights if the </p><p>data is handled correctly. The hallmark of the end of this </p><p>year is really this disconnect between a seemingly resur-</p><p>gent market and real economies that are coughing and </p><p>wheezing like victims of pleurisy. </p><p>Our old pal Bill Ziemba does a bang-up job of looking </p><p>at the sorts of scenarios that might be chasing around in </p><p>the fevered minds of market players. And points opti-</p><p>mistically toward a real possibility of a pop in a long bond </p><p>bubble next year, which really would scupper my retire-</p><p>ment strategy.</p><p>Finally, we welcome David Rowe to these pages for the </p><p>first time with a very sensible look at how a simple shift in </p><p>valuation methodology could make for a massive change </p><p>in positive efficiency.</p><p>Tally Ho!</p><p>Dan Tudball</p><p> Wilmott magazine</p><p>editors letter</p><p> The problem is that large </p><p>institutional players now find their ability to execute at volume is hugely hampered, </p><p>hence the predi-lection for greater and greater speed and the continuing fragmentation of </p><p>liquidity that we are witnessing</p><p>An Affair to Remember</p><p> Just over a year ago everyone held their breath as the markets went into an unprecedented freefall before regaining 60 percent of its losses at the end of the day. The Flash Crash of May 2010 was many things to many people, but we discern it as being a harbinger of things to come. Appropriate then </p><p>to examine what got us there. If anything, the proliferation of market technology and the shifting sands of market practice are a direct result of market regulation the issue of the era. In this issues cover story we discuss the development of regulatory practice in defining what the market is and whom it is for with Larry Tabb, CEO of Tabb Group. </p><p>Market regulation has, over the past 30 years, aimed at promot-ing the markets to small investors and has evolved market structures that exist to protect them. However, the problem is that large insti-tutional players now find their ability to execute at volume is hugely hampered, hence the predilection for greater and greater speed and the continuing fragmentation of liquidity that we are witnessing. The Flash Crash represents a defining moment in this progression. As part of this examination, Gunduz Caginalp, Mark DeSantis and David Swigon of the University of Pittsburgh Mathematics Department examine recent record breaking market moves and ask if flash crashes caused by instabilities arising from rapid trading?</p><p>Satyajit Das returns to the subject of the central counter party (CCP) in the second part of his article Tranquilizer Solutions Part 2: CCP Risk Taming. The CCP is designed to reduce and help manage credit risk in derivative transactions. It also simplifies and reduces the complex chains of risk that link market participants in derivative mar-kets. What is in question, though, is the assumptions about the CCPs ability to itself manage risk.</p><p>Rachel Ziemba looks at the challenge global economies face in pricing in two wildly different but substantially impactful events: the earthquake in Japan and the Arab Spring. The focus now is on how institutions across the global economy benefit or detract from resil-ience and recovery.</p><p>As is his wont, Aaron Brown takes it upon himself to make us face down the happy assumptions we blithely apply to our comfortable worldviews. In the world of quant, the idea that standard deviation is risk is not just viewed as heretical but bordering on the moronic. But can we learn anything useful from examining this unpopular view. Unfortunately, the quant community does not have its own Jerry Fodor, but fortunately for us Brown has managed to unearth a certain Professor Wandom Rocker, who is prepared to step up to the plate.</p><p>Colin Magee returns with his series on the application of quant strategies on betting exchanges. Having drawn similarities between online betting markets and financial markets, Magee points out that what enables the application of quantitative finance methods to betting markets is the availability of a reliable and comprehensive Application Programming Interface (API) for those markets. This means that market data can be programmatically accessed, manipu-lated, and analyzed; strategies formulated and back tested; and, critically, transactions on the exchange can be automated. Magee has developed an open source R package for enabling the same advan-</p><p>tages available to quants in finance for betting markets using the Betfair Sports Exchange API. </p><p>Mike Staunton takes us back to the very beginning (well, one of the beginnings) by invoking the Dutch Tulip frenzy before focusing on a paper by Dominique Bang, which gives an exact series represen-tation of the call payoff in terms of trigonometric functions and, in practical terms, promises an excellent approximation to the BlackScholes value with fewer than a score of terms. Staunton illustrates his periodic decomposition of the quasi-call payoff (his formula from theorem 3.1) for the BlackScholes case.</p><p>In The Alternating Direction Explicit (ADE) Method for One-Factor Problems Guillaume Pealat and Daniel J. Duffy apply the ADE method to a number of partial differential equations in option pricing using one factor models (BlackScholes, Local Volatility, Uncertain Volatility). The authors discuss the stability, accuracy, and performance of ADE for a generic one-factor partial differential equation. Particularly important is how they transform a problem on an unbounded domain to one on a bounded domain, thus avoiding complex mathematical techniques to find the optimal truncated boundary and the determination of the cor-responding numerical boundary conditions. The authors also examine a number of applications. </p><p>In A Market Model of Interest Rates with Dynamic Basis Spreads in the Presence of Collateral and Multiple Currencies Masaaki Fujii, Yasufumi Shimada, and Akihiko Takahashi argue that the textbook-style application of a market model of interest rates has now become inappropriate for financial firms; It cannot even reflect the exposures to these basis spreads in pricing, to say nothing of proper delta and vega (or kappa) hedges against their movements. The authors present a new framework of the market model to address all these issues.</p><p>In Rare Events Analysis for High-Frequency Equity Data Dragos Bozdog, Ionut Florescu, Khaldoun Khashanah, and Jim Wang present a methodology to detect rare events which are defined as large price movement relative to the volume traded. The authors analyze the behavior of equity after the detection of these rare events. Methods are provided to calibrate trading rules based on the detection of these events and the authors exemplify for a particular trading rule. The methodology is applied to tick data for thousands of equities over a period of five days. In order to draw comprehensive conclusions, equi-ties are grouped into classes, and probabilities of price recovery are calculated after these rare events and for each class. The methodol-ogy developed is based on non-parametric statistics and makes no assumption about the distribution of the random variables in the study.</p><p>Enjoy!</p><p>Dan Tudball</p></li><li><p>Find it atwww.mathworks.co.uk/acceleratewww.mathworks.co.uk/acceleratedatasheetvideo exampletrial request</p><p>m</p><p>20</p><p>11 T</p><p>he M</p><p>athW</p><p>orks</p><p>, Inc</p><p>.</p><p>RunRun MatlabMatlabPRogRaMsPRogRaMsin PaRallel in PaRallel withwith</p><p>Parallel Computing ToolboxParallel Computing Toolbox</p><p>if you can write a FoR-loop, you can write a Matlab parallel programfor high-performance computing. Parallel Computing Toolbox lets you quickly adapt MATLAB programs to run on your multicore computer, GPU or cluster, with features for task-parallel and data-parallel programs.</p><p>bgongdeLine</p><p>bgongdeLine</p></li></ul>