The Shift Toward Data-Driven Fund Management

It seems that more investment firms are increasingly turning to quants and data scientists to manage portfolios, relying on computers and algorithms to drive decision-making. This shift is based on the idea that people may trust “active” management more if it’s backed by big data and automation rather than human intuition. The smart-beta approach, which uses data to identify the factors behind past outperformance of securities, is an example of this trend. It’s thought that computers might be better at spotting patterns than humans.

However, this approach is not without its pitfalls. The key issue is that both human managers and computer-driven algorithms are ultimately attempting to predict the future based on past performance—an endeavor that is notoriously unreliable. This raises the question: if we allow computers to make all the decisions, what do we lose? Perhaps a little human flair, like the story of Bill Gross, the former star fund manager at PIMCO.

Bill Gross: When Fund Managers Aren’t Just Numbers

While the rise of data-driven portfolio management might be practical, it’s also less entertaining. For example, Bill Gross, a legendary star fund manager, is now in the news for a divorce scandal, where his ex-wife accused him of using foul-smelling sprays to create a stinky environment and leaving dead fish in air vents. Gross also allegedly paid people to follow his ex-wife and her family. While this is a sad story, it’s much more colorful than anything a computer algorithm could generate. So, while quants may be efficient, they’ll never offer the same drama or entertainment value as a star fund manager’s personal life.

The Persistent Issue of Rate Manipulation

In another financial saga, JP Morgan recently agreed to pay $65 million to settle claims that it manipulated the U.S. Dollar International Swaps and Derivatives Association Fix (ISDAfix). This case is part of an ongoing pattern of rate manipulation by large banks. The issue isn’t new—LIBOR, FX rates, and Euribor all experienced similar scandals. The problem lies in differentiating between rate setting and rate manipulation.

The challenge is that banks are often asked to submit rates they believe should be used, and while this can sometimes lead to manipulation, proving intent is difficult without collusion evidence. The CFTC has levied billions in fines, but the true extent of the manipulation is still hard to uncover. JP Morgan has moved on, but the financial world is still grappling with the complexities of setting accurate and fair rates.

The Costly Mistake: A Day Trader’s Error

On a lighter note, a day trader named Harouna Traoré made a costly mistake when he thought he was trading on a dummy platform with Valbury Capital. Instead of demo trading, he ended up placing real trades, resulting in a €1 million loss. Realizing his error, Traoré turned his luck around and eventually made a €10 million profit. However, when he called the brokerage to explain, they informed him that he had breached his trading contract, and his positions were “void and cancelled.”

This case is now being fought in court, but it’s one that many can relate to, especially in the high-stakes world of day trading. While the case is still unfolding, I can’t help but root for Traoré, as this situation certainly adds an interesting twist to the world of trading errors.

Also:

• Wells Fargo to Restructure Wealth Management Business
• JPMorgan to Pay $65 Million Fine for Dollar Benchmark Manipulation
• Disney Sweetens Fox Offer to $71 Billion, Outbidding Comcast
• TPG Scolded for ‘Stunning’ Lack of Diversity by Pension Official
• BlackRock Is Offering a Free Perk That Lets It See Inside Your Portfolio
• Wal-Mart Defies Investor Push to Rewrite Bond Rules
• Elon Musk’s “Saboteur” Says He Witnessed “Really Scary Things” At Tesla

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