Traditional “long-only” investors are joining quantitative early-adopters in using alternative data to achieve investment alpha, according to a new study from Greenwich Associates. Nearly half of investment managers that participated in the study said that they use alternative data, with another quarter planning to do so in the next 12 months. Meanwhile, the study shows […]
2018 saw CTAs cap a generally poor decade of performance with a particularly bad year of losses. Given this, Galen Stops takes a look at whether the rationale for investors including CTA strategies in their portfolio is still valid. Post financial crisis, CTAs have struggled to produce returns, with only 2010 and 2014 standing out […]
Hasan Amjad, head of algorithmic trading at GAM Systematic Cantab, explains how machine learning tools and techniques have enabled his firm to improve almost every aspect of its trading capabilities.
“It goes all the way really,” he says, “Starting with portfolio construction, all the way to the final trade and the post-trade analytics.”
For example, Amjad points out that machine learning can be used to improve pre-trade analytics by more effectively identifying what kind of trading the firm should be engaging in during current market conditions. He concedes that there are other techniques that enable firms to determine market conditions, but that “machine learning just takes it that one step further by being able to ingest a lot more data and give you the answer”.
Philippe Bonnefoy, the founder of Eleuthera Capital, explains how his firm has evolved over the years in response to changes in the FX market.
“Over the last 20 or 30 years we’ve evolved massively, starting as discretionary macro traders, then using more and more quant models to manage positions and then finally using the quant models to actually do the trading and become a quant portfolio manager,” he says.
Part of the reason for this, explains Bonnefoy, is that the price behaviour of the FX market has changed significantly as market making has become overwhelming conducted electronically. Even now, he points out, FX trading firms need to be cognisant of these changes and how they’ve impacted liquidity when they screen and look at data to test their models.
Galen Stops takes a look at how and why Aston Capital Management is planning to scale up following its recent $100m investment.
Aston Capital Management recently received an injection of $100 million in AUM and an additional $5 million in seed operating capital from private investors. Following this investment, the firm’s CEO Isaac Lieberman is, perhaps unsurprisingly, bullish about its future.
“We have a goal through our strategic mandate and product development timeline to have capacity to be managing $2 billion in AUM within two years and I can actually see us achieving this goal quickly as this business accelerates,” he says.
To help achieve this goal, Lieberman has deliberately been structuring the firm so that it can easily scale up in the future. For starters, the firm has been getting a whole slew of regulatory and accountancy registrations in place.