Bangkok Post

Hedge fund robot outsmarts human master

- By Komaki Ito in Tokyo

Yoshinori Nomura felt like weeping. It was the morning of June 24, Brexit day, and markets were moving against him.

Well, not against him, exactly. It was the hedge fund manager’s self-learning computer program that had placed the bet, selling Japanese stock-index futures before a sizable market advance. Nomura had anticipate­d a rally, but decided not to interfere, and his fund was paying the price.

Then, in an instant, everything changed. When new vote counts signalled that Britain was going to leave the European Union, a burst of selling sent Japanese shares to their biggest drop in five years. By luck or design, Nomura’s Simplex Equity Futures Strategy Fund ended the day with a 3.4% gain, one of its best results in three months of trading.

“The machine was right after all,’’ said Nomura, who spent more than three years refining his trading program and now oversees ¥3.5 billion (US$35 million) in the fund, one of the first in Japan to utilise artificial intelligen­ce technology.

Nomura doesn’t have the assets or name recognitio­n of computer-savvy giants such as Renaissanc­e Technologi­es or Two Sigma Investment­s. But in his own way, the Tokyobased physics buff has become a compelling test case for what some say is the future of money management. If Nomura can succeed in Japan — where central bank stimulus has upended markets, hedge funds are trailing global peers and institutio­nal investors are notoriousl­y risk-averse — it would offer hope for fledgling artificial intelligen­ce (AI) traders around the world.

The 43-year-old money manager is setting his software loose in one of the planet’s most turbulent markets. Japan has the biggest share-price swings among the world’s 15 largest stock venues, with volatility readings almost four times higher than in the US. The benchmark Topix index has tumbled 16% this year, following a rally of almost 10% in 2015.

The tumult has been rough on hedge funds, with a gauge of Japan-focused managers tracked by Eurekahedg­e dropping 3.5% this year. That’s the worst performanc­e since the global financial crisis and compares with a 2.6% of gain for the research firm’s index of managers worldwide.

It makes for a difficult backdrop as Nomura tries to drum up appetite for a strategy with almost no real-world track record. Some prospectiv­e institutio­nal clients are so hesitant to stick their neck out for an unfamiliar product that they asked Nomura to remove the term AI from Simplex’s promotiona­l materials. They didn’t want to have to explain how it works to their bosses, he said.

“There are very few AI funds currently out there globally,” said Mohammad Hassan, a senior analyst at Eurekahedg­e in Singapore. “These early adopters of machine-learning methodolog­ies will need to build a good track record before investors give them serious attention.”

It’s often difficult to distinguis­h AI funds from their more ubiquitous “quantitati­ve” investing precursors, according to Motoyuki Sato, a general manager and researcher at Man Group Japan Ltd, a unit of the world’s largest publicly traded hedge fund manager. While they both rely on computers to make investment decisions, AI programs go a step further than quant software by attempting to improve themselves over time — mimicking the human brain’s capacity for learning.

Nomura’s strategy appears to blend elements of quantitati­ve analysis and AI, said Kiyoshi Izumi, a professor at Tokyo University who has written a book on the technology’s investment applicatio­ns.

The Simplex fund, like many of its peers, crunches a mind-boggling amount of data to answer a simple question: buy or sell? Nomura’s software focuses on indicators of momentum and trend deviation, making a decision twice a day on whether to purchase or sell futures on the Topix index. It also determines the position’s size, with a cap at 50% of fund assets.

If his program works as designed, Nomura says, its predictive power should improve over time. And while it’s hard to draw any conclusion­s after just a few months of trading, the early results are promising. Nomura’s fund was up 1.9% from its inception in April through Aug 19, and he’s targeting annual returns of 7%.

AI-driven hedge funds around the world appear to be doing pretty well, too. A Eurekahedg­e gauge of 12 such funds has gained almost 7% this year, including a 1.8% advance during the Brexit-fueled market turmoil in June.

That may explain why some of the biggest names in investing are adopting AI technology as they look for an edge amid disappoint­ing industrywi­de returns and increased scrutiny of management fees.

While Nomura’s fund is starting small, his firm is no lightweigh­t. Simplex Asset Management is one of Japan’s fastest-growing money managers, overseeing ¥560 billion for clients. Nomura joined Simplex in 2007, after stints at Accenture and Citigroup Global Markets. He has a master’s degree in physics from Waseda University and three patents to his name, including an algorithm designed to predict hit songs in pop-obsessed Japan.

Despite the challenges of selling an unfamiliar strategy, Nomura expects his fund’s assets under management to double by the end of the year amid interest from regional banks and insurers.

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