It’s been a wild rollercoaster ride these days for Bitcoin investors. The cryptocurrency hit an all-time high of $64k in April only to plummet nearly 50% a month later. Last year, as the entire world shut down access to mountain peaks and surfing spots, people started to look for stay-at-home ways to supply their adrenaline fix – and speculative trading fit the bill.
Following up on our most recent article, “Infinity Q: Too Much Alpha,” Infinity Q also managed a hedge fund product, Infinity Q Volatility Alpha, which exclusively employed volatility strategies. Using known sub-strategies as regression factors for a multi-strategy product can prove very useful in identifying the source of both skill and risk in a more complex product.
The suspension of redemptions and planned liquidation of the Infinity Q Diversified Alpha fund (IQDNX, IQDAX) – a $1.8 billion hedge fund-like multi-strategy liquid alternatives mutual fund that was started by investment staff from the family office of a private equity titan – has sent shockwaves through the fund management industry. Using MPI’s quantitative surveillance framework we discover a slew of red flags that could have alerted the fund’s investors.
We use Bridgewater All Weather, one of the largest hedge funds, to illustrate how to quantitative techniques could provide investors with a more dynamic understanding of the potential fund behavior intra-month using only monthly fund data.