In a world where traditional touchstones of fund strategies are being challenged by unprecedented economic-policy uncertainty, investors are seeking information not tapped before or better ways to sift through it. Some are stepping up the use of machine-learning to capture market sentiment on everything from the trade war to recessions. Whether these strategies are more effective than conventional methods remains to be seen, but they’re already paying off for some funds.
In a Bleecker Street loft in downtown Manhattan, Vasant Dhar, the founder of a US$400mil hedge fund and a pioneer of AI investing, finds his computer-driven trading is just the thing for the Trump era. He uses a programme that captures not just securities prices, economic data and news sentiment but also market fears – studying patterns of volatility. In Boston, Eaton Vance Corp has a four-person data science team studying anonymous credit-card spending information, customer sentiment from social media and ETF flows on top of the fundamental work of its equity portfolio managers.
“At times, the market has been behaving like a naive schizophrenic that puts all faith in only the most recent trade tweet,” said Eddie Perkin, chief equity investment officer at Eaton Vance. “As humans, we know we have intellectual biases that can lead us to flawed decision-making such as reacting to false signals from the market. We have built our investment processes to address this and help keep us out of trouble.” The approach has helped Eaton Vance’s Small-Cap Fund gain 22% year-to-date, almost double the Russell 2000 Index’s 11.6% increase.
A lot that markets relied on in the past has been turned on its head. The challenge to the Phillips curve – the notion of a trade-off between low unemployment and higher inflation – is clear, with Federal Reserve chairman Jerome Powell saying in Zurich last week that it’s “not what it was”. Many say the bond yield curve, once a barometer for economic outlook, has lost its predictive edge after central banks’ unprecedented monetary stimulus. A US president who makes major policy announcements through tweets has many funds scrambling to account for the heightened turmoil.
The US-China trade war, Brexit and political tensions in Hong Kong are just some of the points of global uncertainty that could cause further market turmoil. Trillions in government-debt purchases by central banks have driven the term premium – or the extra compensation investors required to own long maturities rather than roll over a shorter-dated obligation – to record lows. More than US$15 trillion in global bonds now have yields below zero and the voracious search for safety has sent Treasury yields plunging.
The level of global policy uncertainty is not only palpable to investors but also measurable. A global composite index of economic-policy uncertainty of 20 countries hovers near a record high reached in December.
Against that backdrop, analysts at JPMorgan Chase & Co have created an index to gauge the impact of Trump’s tweets on US interest rates, which they say is on the rise. The Volfefe Index, named after Trump’s mysterious “covfefe’ tweet, suggests that the president’s posts are having a statistically significant impact on Treasury yields. Quants at Citigroup Inc. are sending currency-market clients notes analysing Trump’s missives on Twitter.
“I don’t think a lot of people are systemically hedging their trade-factors exposures,” said Basil Qunibi at Atom Investors LP, a hedge fund in Austin, Texas, he founded. “That explains the fact that when there is a tweet or a significant change in tariffs or the trade war overall, people tend to react in a pretty aggressive way.”
The Dow Jones Industrial Average slid as much as 600 points on Aug. 23 amid a Trump tirade after China imposed new tariffs on American goods. Trump followed with tariffs on roughly US$110bil in Chinese imports on Sept 1.
Trade woes have added headwinds to the Fed’s struggle to get inflation toward its 2% target even amid a robust US labour market, which includes an unemployment rate hovering around half-century lows. The European Central Bank is so concerned about its failure to lift inflation, it’s seen announcing a large stimulus package today.
For people like economist-turned-investor Stephen Jen, who’s the chief executive officer of Eurizon SLJ Capital, the market is right to pay attention to Trump’s tweets because the US president tends to do what he says. Jen’s more worried that central banks may have failed to catch up with the structural changes in inflation, which is increasingly being influenced by globalisation, technology, and demographics. That’s due in large in part to players like Amazon.com and Alibaba Group Holding Ltd which source and deliver all over the world.
“Inflation is now a global variable, not a local variable, and it should be dealt with in a global context,” said Jen. “We are now left with a situation where central banks are still committed to inflation targeting they set up 20 years ago. Their navigation system may be outdated, and we might end up being an 18-wheeler that gets stuck in a small village.”
Falling inflation expectations, plunging bond rates and flatter yield curves all point to mounting doubts in financial markets over whether monetary policy makers have what it takes to reflate their economies and avert a global recession.
Uncertainty has become a global whack-a-mole game, with the temporary calm in one hot spot merely being surpassed by blow ups in others.
As the geopolitical twists and turns and the streams of tweets from Trump roil markets, in his loft in Manhattan, Dhar, who’s also a professor of data science and artificial intelligence at New York University, is pleased that some years ago he put computers in full control of the Adaptive Quant Trading program that he developed for his hedge fund SCT Capital Management LLC.
“You just can’t figure out what will happen with the trade war,” he said. “It doesn’t mean you’re not concerned, but you’re not chasing your own tail and wondering what to do next and what’s Trump going to say, what’s he going to tweet. That stuff factors into the fund’s positioning but indirectly through the patterns it sees in prices and volatilities.” — Bloomberg
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