{"id":120437,"date":"2022-06-15T11:35:19","date_gmt":"2022-06-15T15:35:19","guid":{"rendered":"http:\/\/stateofthenation.co\/?p=120437"},"modified":"2022-06-15T11:35:59","modified_gmt":"2022-06-15T15:35:59","slug":"aladdin-the-most-powerful-political-force-in-the-world-today","status":"publish","type":"post","link":"http:\/\/stateofthenation.co\/?p=120437","title":{"rendered":"

ALADDIN: The Most Powerful Political Force In The World Today<\/b><\/h2>"},"content":{"rendered":"

Meet Aladdin, the computer \u201cmore powerful than traditional politics\u201d<\/strong><\/h1>\n

How a single computer system came to influence the value of vast swathes of the world’s financial assets.<\/em><\/h3>\n

By Will Dunn<\/p>\n

\"\"

(Photo By Shutterstock )<\/p><\/div>\n

The winter of early 1993 was a cold one in New York; the beginning of February saw the mercury drop below -13\u00b0C. Each morning of that winter Jody Kochansky would arrive at 6.30am at the Manhattan offices of BlackRock, and begin going through the printouts.<\/p>\n

\u201cI\u2019m not a big morning person,\u201d Kochansky admits. To compound the early start, the first job of the day was also the most arduous: \u201cto take the risk reports, to flip the pages and literally to compare the portfolio as it looked today versus the portfolio as it looked the previous day, by hand.\u201d The first web browser would not be created until later that year; \u201cthe delivery mechanism was paper\u201d, but Kochansky and his team found a solution. \u201cWe said, let\u2019s take this data, and rather than print it out, let\u2019s sort it into a database, and have the computer compare the report today versus the report yesterday, across every position.\u201d<\/p>\n

From a simple time-saving system designed while most of New York was still in bed, BlackRock\u2019s computer system has grown into the \u201coperating system\u201d for a company that has itself grown into the world\u2019s largest manager of financial assets. The system, now known as Aladdin, inhabits multiple datacentres \u2013 warehouses filled with servers \u2013 and is used by around 13,000 BlackRock employees and thousands more people at the company\u2019s clients, who pay for the analysis the system provides.<\/p>\n

This is how much money Aladdin manages: if you took every last cent out of every bank in every country in the world, emptied the wallets and pockets and penny jars of all 7.6 billion people, if you rummaged down the back of every sofa and emptied every till and safe until you collected every scrap of currency in the world, you would have a pile of cash worth around five trillion dollars. The total value of assets under management by BlackRock is $6.3 trillion. But Aladdin also delivers risk analysis on the assets managed by its clients, which are valued at more than double that amount. Overall, Aladdin has an effect on the management of around ten per cent of the world\u2019s financial assets, or around $20 trillion. Over 25 years, it has grown into a system that is directly or indirectly responsible for more than four times the value of all the money in the world.<\/p>\n

The fact that Aladdin demonstrates about financial technology is that it is not the technology itself that creates success, but how it is used. Kochansky says broker-dealers were using powerful mainframe computers to understand the risks that applied to different investments as far back as the 1980s. BlackRock\u2019s founders invested in new \u201cworkstations\u201d \u2013 \u201ccheaper computers, that cost tens of thousands rather than millions\u201d. Their innovation was to use the cheaper computing power not only to sell securities, as others did, but to know the true value of what they were buying.<\/p>\n

How does a computer know how risky something is? Kochansky says that the mathematics \u201ccan be fairly complex\u201d, but that Aladdin uses \u201cMonte Carlo simulations\u201d, among other models, \u201cto try to see what happens to the security under different kinds of environments\u201d. A Monte Carlo simulation is a type of algorithm that simulates the messy unpredictability of the real world within the deterministic order of mathematics. To do this, it uses random numbers to calculate not exactly what will happen, but what is likely to happen.<\/p>\n

When BlackRock began applying this type of mathematics to building portfolios, they were run on a single Unix workstation that was \u201cliterally the desktop computer for the trader,\u201d Kochansky remembers. \u201cBut then at night we would use the compute resource to run our bond analytics, and the next morning the portfolio manager would get a fancy report that other buy-side organisations couldn\u2019t get.\u201d The \u201cfancy report\u201d would contain risk analytics on \u201ceverything they owned. Every single day, our portfolio managers could see the risk on their entire portfolio.\u201d Today, when analytics are applied to everything from training athletes to selling deodorant, this would be expected, but in the early 1990s BlackRock was the first and only company to use data in this way.<\/p>\n

\u201cNowadays the hot topic is fintech,\u201d say Kochansky. \u201cI like to think that we were one of the earliest fintechs.\u201d<\/p>\n

But BlackRock soon realised that the system should not just calculate risk. The next step was to use the system for \u201cposition-keeping, record-keeping, and control\u201d. The reason for this was that at the time, with risk calculated separately from positions, analytics were always one step behind trading. \u201cWe realised that if you know how risky a security is, but you don\u2019t know how much you own, you don\u2019t really know your risk,\u201d he explains. \u201cYou ultimately have to marry the risk calculations at the security level with the portfolio holdings to truly get a view of risk. We needed to know how much we owned.\u201d<\/p>\n

This insight was particularly important in the autumn of 1994, in the wake of a crisis in the bond market remembered by\u00a0Fortune<\/em>\u00a0magazine as \u201cthe Great Bond Massacre\u201d. As bond prices fell, General Electric began looking for a buyer for a Wall Street broker-dealer that it owned. \u201cThey went to other broker-dealers,\u201d Kochansky remembers, \u201cand said, hey, we\u2019ve got this complex portfolio, can you provide a bid for it \u2013 in other words, how much would you pay me for it?\u201d The bids GE received were low \u2013 \u201cmuch lower than they had expected.\u201d Kochansky says this \u201cmakes sense, because they were trying to move a big block of securities\u201d \u2013 companies rarely get top dollar for their stock during a closing-down sale. The answer was to have BlackRock manage the portfolio, gradually selling it over time.<\/p>\n

Kochansky and his team \u201cliterally pulled three all-nighters in a row. We modelled the entire portfolio. It was very painful, lots of coffee. But when we were done \u2013 wow.\u201d Incorporating a broker-dealer system into Aladdin was, says Kochansky, \u201cthe moment when we realised that the platform was capable of doing a lot of things that we hadn\u2019t even contemplated at that time.\u201d<\/p>\n

By the mid-1990s, the system was able to \u201crebalance\u201d portfolios \u201cin more automated ways\u201d. Once a portfolio manager knew how risky their portfolio was and how much they owned of every security, they would look to invest in other securities, and Aladdin was designed to adjust the portfolio, to balance automatically the risk being introduced. It was in this way that Aladdin was given, says Kochansky,\u00a0\u201cthe ability to interact with the marketplace. In those early days, in the mid to late 90s, the vast majority of trading in fixed-income was really based on the telephone. People would pick up the phone and offer two-year notes and that kind of thing. So as the electronification of the marketplace was happening, we were building out the market-facing technologies.\u201d<\/p>\n

In 1999, BlackRock went public at $14 a share. Kochansky points to other moments in the firm\u2019s history when the company and its technological core had to be recalibrated. In 2006, BlackRock acquired Merrill-Lynch investment managers and \u201cwe suddenly became very international, and we became very equity\u201d. But it was the financial crisis of 2008 that really proved Aladdin as a significant influence on the global economy. As the government struggled to make sense of the febrile financial markets, asking an investment bank to help value the rest of Wall Street would have been, Kochansky puts it diplomatically, \u201ca potential conflict\u201d. \u201cAnd so I think as these governments \u2013 it wasn\u2019t just the US government \u2013 looked around and asked who had the capabilities to gain the insight into what\u2019s happening in these portfolios, that\u2019s a relatively short list.\u201d Unlike an investment bank, BlackRock does not trade its own capital. This fact, coupled with its analytical prowess, gave it an unparalleled ability to value the twelve-figure refinancing deals needed to keep the US economy afloat. In 2010,\u00a0Vanity Fair<\/em>\u00a0reported that \u201cBlackRock has effectively become the leading manager of Washington\u2019s bailout of Wall Street\u201d. BlackRock\u2019s share price at time of writing was $521.<\/p>\n

The simulated economy<\/strong><\/p>\n

While the world has changed dramatically since Kochansky started at BlackRock in 1992, he says that \u201ca lot of the mindset that was created then propagates today. The principles are the same. What we nowadays call Aladdin \u2013 at the time, it didn\u2019t really have a name \u2013 is the operating system for BlackRock.\u201d<\/p>\n

In 1994, when Kochansky and his team worked for 72 hours to rewrite Aladdin for the first time, \u201cthe entire effort around Aladdin was maybe 40 or 50 people. Nowadays, within the Aladdin product group we have about 1,500 to 2,000 people that contribute to Aladdin in different forms.\u201d<\/p>\n

Physically, Aladdin occupies three datacentres in the United States. Unusually, these are owned by the company itself rather than a third party. The company is looking at opening a pair of datacentres in Europe. Kochansky says \u201cit\u2019s hard to characterise it exactly by number of computers, but one way to think about it is that we are running the risk analytics on tens of millions of securities.\u201d Every individual security\u00a0is valued through \u201cthousands and thousands of Monte Carlo simulations, and each simulation is a matter of creating an economic scenario that\u2019s based in statistical grounding. One security manifests as millions of scenarios. So, we are running billions and billions of scenarios every single night and throughout the day.\u201d<\/p>\n

In a typical day, Kochansky adds, the cloud-based system will pass \u201ctens of billions of messages\u201d to distribute analytics to users and clients.<\/p>\n

Every security that is analysed goes through \u201cthe economy process\u201d, which Kochansky describes as valuation in the context of every data point BlackRock can gather than might affect the economy \u2013 \u201ca real-time snapshot of all sorts of market information. So, anything you could imagine that\u2019s going on in the marketplace \u2013 what are the Treasury rates, what\u2019s the shape of the yield curve, what\u2019s going on in equities, what\u2019s the state of volatility. In the case of mortgages, you want to know stuff about the rate of inflation, home price appreciation trends by zip code. We call that \u2018the economy\u2019.\u201d<\/p>\n

Every single one of the tens of millions of securities Aladdin analyses is valued against \u201chundreds of thousands of data points each day\u201d, in thousands of different ways.<\/p>\n

Too big to fail?<\/strong><\/p>\n

In December 2013 Stanley Pignall, the\u00a0Economist<\/em>\u2019s finance correspondent, said of BlackRock that \u201cit\u2019s unprecedented to have a single firm that has such a grip on the way that not only itself, but its rivals, look at the world.\u201d While Pignall said BlackRock was not \u201ctoo big to fail\u201d in the sense that some banks had been \u2013 as an asset manager it is not exposed to the same risks \u2013 he said the sheer size and power of the Aladdin platform had some economists spooked.<\/p>\n

The reason, said Pignall, was that so much value is now managed using Aladdin that if, for example, JP Morgan, Deutsche bank and some of the world\u2019s biggest sovereign wealth finds all use the same model, \u201cthe risk is that they start finding certain types of assets attractive, or unattractive, at the same time. You\u2019d get a herding of investors,\u201d Pignall suggested, similar to that \u201cin 2008, when too many people started listening to the credit rating agencies, and started buying products that were linked to subprime real estate in the US.\u201d<\/p>\n

Kochansky answers that \u201cit\u2019s important to recognise that Aladdin itself does not predict the future at all. Aladdin tells you what you have in your portfolio. It doesn\u2019t tell you what to buy.\u201d There are, for Aladdin, no good or bad bets \u2013 there is only risk, in\u00a0varying degrees.<\/p>\n

\u201cThe enterprise clients have a separate instance of Aladdin,\u201d he adds, \u201cmeaning that it\u2019s all their own data, running on separate computers, separate databases. They dial the models based on their views of the markets, their views of risk. Aladdin doesn\u2019t dictate to them how to run their business.\u201d<\/p>\n

Nor is Aladdin the only system in play. \u201cKeep in mind that the models in Aladdin are based on historical data. There are many providers in the marketplace that provide risk models based on historic data. Our models are world-class, but we\u2019re not the only model provider in the world,\u201d says Kochansky. Elsewhere, behemoths such as MSCI Barra and Bloomberg offer their models and systems that may influence still more value even than Aladdin. While Kochansky admits, memorably, that \u201c$20 trillion\u00a0sounds\u00a0<\/em>like a lot of money,\u201dthere may be, \u201cin the grand scheme of the capital markets\u201d, models that have still greater influence.<\/p>\n

The idea that computer systems and financial models of this sort quietly underpin the value of almost everything in the world (everything that can be invested in, anyway) could be either frightening or reassuring. The filmmaker Adam Curtis has described Aladdin as \u201ca kind of power never seen before\u2026 more powerful in some respects than traditional politics.\u201d<\/p>\n

On the other hand, if the principal aim of such a vastly influential system is the management of risk, it could be the steady hand that the markets of the future will need . A powerful stabilising technology such as Aladdin could yet be the source of \u201cGreat Moderation\u201d that neoliberalism tried to deliver.<\/p>\n

Either way, Aladdin is set to become more powerful still. BlackRock\u2019s $109bn research unit, the Systematic Active Equity division, has been investigating artificial intelligence for some time, and the company recently announced that it is building a new laboratory in California to develop this technology even further. As to what kind of future this creates for the world and its economy, Aladdin itself will probably be the first to know.<\/p>\n

___
\nhttps:\/\/www.newstatesman.com\/politics\/business-and-finance\/2018\/04\/meet-aladdin-computer-more-powerful-traditional-politics<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Meet Aladdin, the computer \u201cmore powerful than traditional politics\u201d How a single computer system came to influence the value of vast swathes of the world’s financial assets.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-120437","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"http:\/\/stateofthenation.co\/index.php?rest_route=\/wp\/v2\/posts\/120437","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/stateofthenation.co\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/stateofthenation.co\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/stateofthenation.co\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/stateofthenation.co\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=120437"}],"version-history":[{"count":0,"href":"http:\/\/stateofthenation.co\/index.php?rest_route=\/wp\/v2\/posts\/120437\/revisions"}],"wp:attachment":[{"href":"http:\/\/stateofthenation.co\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=120437"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/stateofthenation.co\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=120437"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/stateofthenation.co\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=120437"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}