Tuesday, 21 October 2014
Last updated 5 hours ago
Aug 4 2014 | 8:56am ET
London-based quant K1T Capital officially launched its first fund, a master-feeder structure, on August 1.
The K1T Capital Quant Master Fund 1 SP will accept U.S investors while the K1T Capital Quant Feeder Fund 1 SP accepts investors from the rest of the world.
Founded by CEO Simon Wajcenberg and CIO Ben Heaton in 2013, K1T employs an automated trading system that is actually eight separate systems (one of which is still in development).
“They all have the same algorithm,” Heaton told FINalternatives in an earlier interview, “but different parameter optimizations.”
Wajcenberg told FINalternatives that the fund, which back-tests indicate would have returned 20% from 2008 to 2013, is “fully optimized and looking forward to a strong performance.”
The strategy employs limited leverage—the maximum over the six-year test period was 150%, invests only in highly liquid markets and imposes no lock-in or redemption penalty (funds can be withdrawn on 10 days' notice prior to the end-of-month redemption date).
The fund currently trades the S&P 500, U.S gold stocks and global ETFs. Wajcenberg said that, excluding puts, K1T made 65 bps between April and June 2014.
K1T's minimum investment is $100,000.
Sep 22 2014 | 4:15pm ET
"I tell people that everybody likes good news and so if you have good performance that’s wonderful,” explains Mike McKitish of Peddie School's endowment, “but it’s the people that want to talk about the bad news or where they drifted and how they came back and how they stayed to their discipline…” that he wants to hear from. Read more…
Sep 30 2014 | 9:29am ET
The crisp Autumnal days of October are upon us, and so are a few of the hedge fund industry’s favorite charitable events. If you have never been to Rocktoberfest, well, you are missing out. And for a quieter evening of sipping and socializing, stop by HFC’s Wine Soiree. Read more…
Most traders agree that proper risk management is the key to successful trading. However, many traders depend on the deeply flawed measure of standard deviation as a benchmark of risk. Here we put it ...