Sunday 29th May 2016
NEWS TICKER, FRIDAY MAY 27TH: BGEO Group plc, the London listed holding company of JSC Bank of Georgia, has this morning announced that Bank of Georgia, Georgia’s leading bank, and the European Bank for Reconstruction and Development (EBRD) have signed a GEL220m (approximately £70m) loan agreement with a maturity of five years. EBRD obtained the local currency funds through a private placement of GEL-dominated bonds arranged by Galt &Taggart, a wholly owned subsidiary of BGEO. This is the largest and the longest maturity local currency loan granted to a Georgian bank, which will allow Bank of Georgia to issue longer-term local currency loans, providing essential support for micro, small and medium sized enterprises to converge to DCFTA requirements, as well as underserved women entrepreneurs. “We are keen to develop financial products and lending practices, to service specifically women-led SMEs, which will ultimately increase their involvement in developing Georgia’s private sector”, says Irakli Gilauri, CEO of BGEO Group - The UK’s CBI has responded to analysis from the Treasury showing that a vote to leave the European Union could negatively impact UK pensions. Rain Newton-Smith, CBI Economics Director, says that: “All pension schemes benefit when funds can be invested across a stable, growing economy, to best support people in their retirement years. Any financial market turmoil caused by a Brexit is likely to have a negative effect on household wealth, the value of funds and damage pensions here at home, especially for those looking to retire within the next few years. The sheer weight of credible evidence points towards a serious economic shock if the UK were to leave the EU, meaning a hit to the value of our private pensions, jobs and prosperity.” - EPFR Global reports that Nine weeks into the second quarter mutual fund investors remain underwhelmed by their choices as they seek to navigate a global economy characterized by political uncertainty in Europe, lacklustre corporate profits and the prospect of another interest rate hike in the US, economic stress in major emerging markets and Japan's experiment with negative interest rates. During the week ending May 25 all nine of the major EPFR Global-tracked Emerging and Developed Markets Equity Fund groups posted outflows, as did Global, High Yield, Asia-Pacific and Emerging Markets Bond Funds, seven of the 11 major Sector Fund groups and three out of every five Country Equity Fund groups. Alternative Funds look to have taken in over $1bn for the fifth time in the past 14 weeks. Overall, EPFR Global-tracked Bond Funds added $2.6 billion to their year-to-date tally while another $9.1bn flowed out of Equity Funds. Some $12bn was absorbed by Money Market Funds with US funds attracting the bulk of the fresh money. EPFR Global-tracked Emerging Markets Equity Funds remained under pressure from many directions. China's economic data and policy shifts continue to paint a mixed picture for growth in the world's second largest economy, the US Federal Reserve is talking up the prospects of a second rate hike this summer, Europe's recovery appears to be running out of stream and the recent recovery in commodities prices is being viewed with scepticism in many quarters. All four of the major groups recorded outflows during the week ending May 25, with the diversified Global Emerging Markets (GEM) Equity Funds seeing the biggest outflows in cash terms and EMEA Equity Funds in flows as a percentage of AUM terms. Latin America Equity Funds extended their longest outflow streak since late 3Q15 as investors who bought into the prospect of political and economic change in Brazil confront the messy reality. However, year to date Brazil has been the top emerging market for all EPFR Global-tracked Equity Funds as managers bet that the impeachment proceedings against President Dilma Rousseff will open the door to more centrist economic policymaking says the funds data maven. Among the EMEA markets, the firm reports that GEM managers are showing more optimism than investors. EMEA Equity Funds have now posted outflows for five straight weeks and investors have pulled over $300m out of Russia and South Africa Equity Funds so far this month, though GEM allocations for both South Africa and Russia climbed coming into this month. The latest allocations data indicates less optimism about China despite is still impressive official numbers - annual GDP was running at 6.7% in 1Q16 - and the edge the recent slide in the renminbi should give Chinese exporters. GDP growth in Emerging Asia's second largest market, India, is even higher. Elsewhere, India Equity Funds have struggled to attract fresh money as investors wait to for domestic business investment and the government's reform agenda to kick into higher gears says EPFR Global – According to New Zealand press reports, stock exchange operator, NZX, will initiate confidential enquiries into listed companies that experience large, unexplained share price movements, to determine whether they may be holding undisclosed "material" information even while remaining in compliance with the market's Listing Rules that require disclosure of material information at certain trigger points. In an announcement this morning, NZX also warned investors not to assume that a listed entity's Listing Rules compliance statements meant they did not have material information in their possession which would potentially require eventual disclosure - Asian stocks were modestly higher today, largely on the back of increasingly softening sentiment from the US Federal Reserve. Most people think there will be one rate hike this year, but likely it will be in July rather than June. Either way, it will be one and not two or three. Fed chair Janet Yellen is scheduled to talk about interest rates at an event at Harvard University today and the expectation is that a softer approach for the rest of this year will be writ large; a good signal of intent will follow today’s quarterly growth stats. The presidential election will encourage caution; continued market volatility will encourage caution and mixed manufacturing data will encourage caution. Japan’s benchmark Nikkei 225 index added 0.4% to touch 16,834.84 and Hong Kong’s Hang Seng rose 0.9% to 20,576.52. The Shanghai Composite Index gained 0.3% to 2,829.67. The Straits Times Index (STI) ended 6.65 points or 0.24% higher to 2773.31, taking the year-to-date performance to -3.80%. The top active stocks today were SingTel, which gained 1.05%, DBS, which gained 0.07%, UOB, which gained0.11%, Keppel Corp, which gained2.47% and Ascendas REIT, which closed unchanged. The FTSE ST Mid Cap Index gained 0.27%, while the FTSE ST Small Cap Index rose 0.30% - The European Bank for Reconstruction and Development (EBRD) says it is taking the first step towards developing a green financial system in Kazakhstan in partnership with the Astana International Financial Centre (AIFC) Authority. EBRD President Sir Suma Chakrabarti and AIFC Governor Kairat Kelimbetov signed an agreement today on the sidelines of the Foreign Investors Council’s plenary session to commission a scoping study for the development of a green financing system in Kazakhstan. The study, scheduled to be completed in 2017, will assess the demand for green investments, identify gaps in current regulations, and make recommendations for the introduction of green financing standards and for the development of the green bonds market and carbon market services. The development of a green financing system would be consistent with the COP21 Paris Agreement, aligning financing flows with a pathway towards low greenhouse gas emissions and climate resilient development. The AIFC Authority was put in place earlier this year and is tasked with developing an international financial centre in Astana. In March, the AIFC Authority, TheCityUK and the EBRD signed a Memorandum of Understanding to support the establishment of the financial centre and to encourage and improve opportunities for the financial and related professional services industries – Turkey’s Yuksel has issued notice to holders of $200m senior notes due 2015 (ISIN XS0558618384), and filed with the Luxembourg Stock Exchange, that the company has agreed a term sheet with the ad-hoc committee of noteholders and its advisors to implement a restructuring of the notes and is currently finalising the required scheme documentation with the Committee. Once agreed, the Company will apply to the English High Court for leave to convene a meeting of note creditors to vote on the scheme proposals as soon as reasonably practicable when the High Court reconvenes after vacation in June 2016 - Following the agreement in principle of the May 24th Eurogroup for the release of the next loan tranche to Greece, domestic authorities have intensified their efforts for the completion of all pending issues reports EFG Eurobank in Athens. According to Greece’s Minister of Finance Euclid Tsakalotos, on the fulfilment of all pending issues, €7.5bn will be disbursed in mid-June, of which €1.8bn will be channeled to clear state arrears – This weekend is the second UK May Bank Holiday. FTSE Global Markets will reopen on Tuesday, May 31st at 9.00 am. We wish our readers and clients a sunny, restful, safe and exceedingly happy holiday.

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ALGO trading: a moveable feast Photograph © Robertds/Dreamstime.com, supplied March 2013.

ALGO trading: a moveable feast

Tuesday, 19 March 2013
ALGO trading: a moveable feast Algorithms have come a long way since the early days when traders used simple volume weighted average price (VWAP) routines to facilitate execution in large cap stocks. Technology has helped, of course; computers can now process so much data in near real time that programmers can incorporate feedback from the market to alter the way algorithms execute or route orders on the fly. Attitudes toward algorithms have evolved, too. Any lingering reservations—not uncommon among old-school traders—about how algorithms might perform during market dislocations were put to rest during the 2008/09 financial crisis. Today’s trading tools are smarter and more flexible than ever—and so are the users. Neil A O’Hara reports. http://www.ftseglobalmarkets.com/media/k2/items/cache/f8c1ec925a18c92698c05bff8c327469_XL.jpg

Algorithms have come a long way since the early days when traders used simple volume weighted average price (VWAP) routines to facilitate execution in large cap stocks. Technology has helped, of course; computers can now process so much data in near real time that programmers can incorporate feedback from the market to alter the way algorithms execute or route orders on the fly. Attitudes toward algorithms have evolved, too. Any lingering reservations—not uncommon among old-school traders—about how algorithms might perform during market dislocations were put to rest during the 2008/09 financial crisis. Today’s trading tools are smarter and more flexible than ever—and so are the users. Neil A O’Hara reports.

The proportion of trades now executed by algorithms is a movable feast depending on who is asked. A buy side desk may say it uses algorithms for 30% of its trading, counting only the orders it handles using direct market access or other electronic broker pipes. The other 70% of orders are called in to brokers, where the sell side trading desk will likely enter the flow into algorithms for execution. “Most US equity trading now uses some sort of algorithm,” says Scott Daspin, a managing director in the global execution group at ConvergEx. “The average block size continues to fall and appropriate execution requires a trading tool.”


Growing confidence in algorithms has encouraged buy side traders to exploit more complex routines. While some players still rely primarily on VWAP—quantitative shops doing mass optimisations of market neutral trades, for example—this long-time favourite has given way to implementation shortfall routines designed to minimize market impact. Traders specify the degree of urgency and the algorithm tries to optimise execution within that time frame. Based on measures of liquidity in the name and where the liquidity is concentrated, the algorithm will select the best routing among venues and decide whether and when to cross the spread to obtain a fill. “Clients are moving toward implementation shortfall as their primary benchmark,” says Daspin.




Average investment holding periods have come down in recent years, which has reinforced the focus on implementation shortfall. The shorter the time horizon, the more market impact costs affect the expected return on the trade. If a portfolio manager expects a 5%-10% uptick in price from a positive earnings announcement next week, the difference between 50 basis points (bps) and 150bps in market impact matters more than for a stock expected to rise 30% over two years.


For sensitive trades that are not urgent, traders may prefer a dark aggregator algorithm designed to tap liquidity only in dark pools where the footprint of a large order is harder to detect. Some dark pools are darker than others, and some admit participants whose activities may be toxic to large orders so traders can exclude certain venues or order types on a particular venue. Jeffrey Bacidore, head of algorithmic trading at ITG, has seen attitudes toward dark aggregators evolve, too. At first, traders would designate where they were and were not willing to trade, but now they take a more nuanced approach. “Shutting a dark pool out completely means there is absolutely no liquidity in there a trader ever wants to participate in,” he says. “That can’t be true.”


ITG and other providers have built more sophisticated algorithms that expose bigger size in clean pools but still show some interest, albeit with stronger safeguards against gaming, in more suspect pools. The buy side does not have the resources to monitor every venue in detail, which has led firms to lean on brokers to deliver an acceptable end result. “Brokers have to justify their decisions and provide good performance,” says Bacidore. “Clients find it hard to stay on top of the landscape. They have outsourced that to brokers and hold us accountable.”


The buy side learned long ago that while brokers always claim to put clients’ interests first a broker’s own interests will take priority if the client suffers no harm, at least in theory. In the spirit of “trust, but verify” the buy side is demanding more transparency about how algorithms route orders and where they are filled. Convergex has just opened its kimono through a Web portal on which clients who enter a ticker symbol and size can see a forecast of the expected market impact, how long it will take to complete the order, where the trade will route and where fills are expected. When clients enter a live order, they can see in real time where the order goes and the fills come from.


“When we demo this technology to people we don’t know, they fall off their chairs,” says Daspin. “We can practically see them reaching for the phone to ask their existing brokers how orders are routed.”


The degree of transparency ConvergEx offers allows buy side traders to tweak their execution strategy based on hard data about which venues give the best fills in a name. Sometimes it requires just a change in the parameters entered into the algorithm, but Convergex will customise the algorithm if need be. “The beauty of transparency is that people can make the algorithm exactly what they want, which is not the same thing for everyone,” says Gary Ardell, head of financial engineering and advanced trading solutions at ConvergEx.“Transparency helps clients get the right tool for the right job.”


The heightened transparency may tax the capacity of some buy side shops to make good use of it, however. Paul Daley, head of product development at SunGard’s Fox River Execution Solutions, says many clients struggle with the sheer volume of data generated in the full routing disclosure his firm provides and prefer to rely on monthly summaries instead. The snag? The summaries only includes trades done through Fox River, so users cannot compare the results with trades done through other brokers who do not offer similar transparency.


Clients who use the complete data dump can see where orders went, whether they were ever routed from one venue to another, how they were executed and whether they took or provided liquidity. “Over time, people are getting more into the logic of why a broker went to a particular venue, not just where it went,” says Daley. “People will use the tools and get their hands around the data.” He expects buy side trading desks to hire quantitative analysts with a grasp of trading who can use their programming skills to mine the data and suggest improvements in how the desk interacts with the market.


The buy side trader’s role continues to evolve from the jumped-up order clerk of yore toward equal partnership in the investment process. Traders don’t have to watch the market all the time any more; they can focus on higher value-added tasks like picking the best execution strategy and leave implementation to the machines. “A human does not have to look at the screen, see the bid move up a penny and decide whether to cancel and resubmit the order,” says Bacidore at ITG. “The algorithm has already done that if it makes sense. The trader looks at the objective and works more closely with the portfolio manager behind the trade.”


The nature of product development for algorithms has changed, too. Ten years ago, Bacidore says the main concern was to ensure the routines were robust and would not break down or go haywire. Today, those safeguards are a given and developers spend more time figuring out how to source liquidity as efficiently as possible. They also know other technology-savvy market participants like high frequency traders will try to reverse engineer or game their designs, a constant threat to buy side clients. “We have to have cutting edge technology,” says Bacidore. “We must be as smart and efficient as the best people in the market if we are to deliver good results to our clients.”


While technical improvements in single name algorithms will continue, the bigger challenge is to perfect algorithms that can handle baskets of stocks. It’s a daunting task: not only must the algorithm process data on all the individual names but the trading in one name affects how other names are traded. In a market neutral (equal dollar amounts to buy and sell) basket of 1,000 names, for example, the algorithm must maintain balance so that buys and sells don’t run too far out of whack. “The algorithm takes into account portfolio level objectives and constraints,” says Bacidore. “It comes at a cost, though—they can’t be too dynamic.” If a block showed up in an illiquid name on an institutional dark pool, a human trader might grab it but the algorithm might not because a large fill would unbalance the basket.


Another difficulty is the lack of industry consensus about how basket algorithms should work. The objective is clear: to minimize risk and maximize return on the trade—but opinions differ over what that means in practice. The uncertainty has hampered development efforts, according to Daley. Fox River could build an algorithm that made sense to its developers but if clients reject the logic it would be wasted effort. “We all agree what a VWAP algorithm is,” says Daley, “but we don’t necessarily agree what a basket algorithm is. There is a tremendous amount of unsatisfied demand in that space.”

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