Making sense of the foreign-exchange market is Derek Mumford’s bread and butter, but he could not explain this.
In the span of just two minutes in early Asia trading on Friday, the British pound had plunged more than 6 percent, sending the fourth most-traded currency on the planet to the lowest level in 31 years.
Mumford, who advises companies on foreign-exchange and interest-rate risks, scrambled to find out why. There was talk of France’s president pushing for a hard-line approach on Britain’s exit from the EU and recycled rumors of a “fat finger” trade, but nothing that would justify a drop of this magnitude.
“It was out of proportion to the supposed trigger,” said Mumford, a director at Rochford Capital Pty in Sydney.
While he might never be able to pin down the catalyst for Friday’s drop, Mumford and many of his peers agreed that the sell-off was probably exacerbated by computer-driven traders reacting at speeds faster than any human could muster.
So-called algorithmic transactions in the foreign-exchange market have more than tripled over the last three years, accounting for about US$200 billion of daily turnover, according to Aite Group, a consultant in Boston.
That one of the planet’s oldest mediums of exchange — and the dominant reserve currency until the first half of the 20th century — could move like the legal tender of a frontier country is almost certainly to fuel debate over computerized traders’ role in the US$5.1 trillion-a-day global currency market.
Friday’s move in the pound follows a “flash crash” in the South African rand in January and a similarly unexplained move in New Zealand’s dollar last year.
“It’s one of these moves that we’re seeing more regularly,” said Hugh Killen, the Sydney-based head of foreign exchange, fixed income and commodities trading at Westpac Banking Corp, Australia’s second-biggest lender. “People are caught in a flash crash that does seem to be algorithmic driven.”
Fragility in foreign-exchange markets has been increasing even as “phantom liquidity” creates an illusion of stability, Bank of America Merrill Lynch strategists Chris Xiao and Vadim Iaralov wrote in a report on Wednesday.
The frequency and magnitude of “outsized volatility events” has also increased, they wrote.
While the pound’s intraday drop of 11 percent after Britain’s surprise vote in June to leave the EU was bigger than Friday’s slump, traders said this one was more jarring.
Not only did the crash happen in just two minutes, but nobody was expecting it. The move reminded several dealers of the reaction to the Swiss National Bank’s shock decision to abandon the franc’s cap against the euro in January last year, which sent the exchange rate surging more than 40 percent.
“This is the most volatile move seen from sterling since Brexit, yet it can be argued that relative to Brexit, this sell-off was more dramatic,” said Matt Simpson, a senior market analyst at ThinkMarkets in Singapore. “Nobody was prepared for it.”
Volumes in sterling are typically lower during Asian hours, but might have been even smaller on Friday given a dearth of market-moving news and a reticence to take positions before the monthly US employment report, Simpson said, calling it a “perfect storm for a price shock.”
While the flash crash might heighten concerns over the potential risks in markets where computers can execute hundreds of trades in an instant, there were few signs of contagion on Friday. The yen, a traditional haven during times of turmoil, was little changed.
For Westpac’s Killen, the flash crash refocuses attention on the changing structure of foreign-exchange markets as global investment banks pull back from dealing.
Currency sales and trading at 12 of the largest banks shrank 28 percent worldwide between 2010 and last year, according to Coalition Development Ltd, a London-based research firm.
Under the so-called Volcker Rule, lenders are restricted from trading for profit with their own money.
“Clearly the market is much more electronic and as a result it is more much driven by algorithms,” Killen said. “When you combine this with the fact the major traditional players in the foreign-exchange markets carry a lot less risk than they might have done a few years ago, we’re getting greater liquidity gaps.”
SEASONAL WEAKNESS: The combined revenue of the top 10 foundries fell 5.4%, but rush orders and China’s subsidies partially offset slowing demand Taiwan Semiconductor Manufacturing Co (TSMC, 台積電) further solidified its dominance in the global wafer foundry business in the first quarter of this year, remaining far ahead of its closest rival, Samsung Electronics Co, TrendForce Corp (集邦科技) said yesterday. TSMC posted US$25.52 billion in sales in the January-to-March period, down 5 percent from the previous quarter, but its market share rose from 67.1 percent the previous quarter to 67.6 percent, TrendForce said in a report. While smartphone-related wafer shipments declined in the first quarter due to seasonal factors, solid demand for artificial intelligence (AI) and high-performance computing (HPC) devices and urgent TV-related orders
BYPASSING CHINA TARIFFS: In the first five months of this year, Foxconn sent US$4.4bn of iPhones to the US from India, compared with US$3.7bn in the whole of last year Nearly all the iPhones exported by Foxconn Technology Group (富士康科技集團) from India went to the US between March and last month, customs data showed, far above last year’s average of 50 percent and a clear sign of Apple Inc’s efforts to bypass high US tariffs imposed on China. The numbers, being reported by Reuters for the first time, show that Apple has realigned its India exports to almost exclusively serve the US market, when previously the devices were more widely distributed to nations including the Netherlands and the Czech Republic. During March to last month, Foxconn, known as Hon Hai Precision Industry
Taiwan Semiconductor Manufacturing Co (TSMC, 台積電) and the University of Tokyo (UTokyo) yesterday announced the launch of the TSMC-UTokyo Lab to promote advanced semiconductor research, education and talent development. The lab is TSMC’s first laboratory collaboration with a university outside Taiwan, the company said in a statement. The lab would leverage “the extensive knowledge, experience, and creativity” of both institutions, the company said. It is located in the Asano Section of UTokyo’s Hongo, Tokyo, campus and would be managed by UTokyo faculty, guided by directors from UTokyo and TSMC, the company said. TSMC began working with UTokyo in 2019, resulting in 21 research projects,
Quanta Computer Inc (廣達) chairman Barry Lam (林百里) yesterday expressed a downbeat view about the prospects of humanoid robots, given high manufacturing costs and a lack of target customers. Despite rising demand and high expectations for humanoid robots, high research-and-development costs and uncertain profitability remain major concerns, Lam told reporters following the company’s annual shareholders’ meeting in Taoyuan. “Since it seems a bit unworthy to use such high-cost robots to do household chores, I believe robots designed for specific purposes would be more valuable and present a better business opportunity,” Lam said Instead of investing in humanoid robots, Quanta has opted to invest