Fireside Chat, Interview
Bigger markets, more alpha: Capstone’s Paul Britton on running a derivatives hedge fund
- The industry is viewed as a "winner-takes-all" game where higher capital expenditure increases success likelihood, making competition with firms like Goldman Sachs or Citadel a low-probability outcome for new entrants.
- The firm anticipates that increased derivatives market volume will translate into a higher alpha proposition for investors, provided sufficient flow passes through the firm's filters.
- Unconventional pro-growth policies are expected to generate marketplace anxiety that could keep the VIX above a 15 level, whereas the reduction in the "fed put" may lead to greater market elasticity with the index fluctuating between 10 and 15.
- Central banks are predicted to "overstay their welcome" after their growth partner role, with coordinated global monetary responses similar to the 2008–2020 era unlikely to recur.
- Real dispersion in policy-making is expected to reduce the stability of historical correlations over the coming years due to seismic responses to COVID-19 and central bank actions lasting for "many many many years."
- The future is forecasted to be favorable for active management and hedge funds as economies adjust to pandemic responses and the shift away from the "fed put."
- Intense pressure is expected to maintain a "fast-paced" culture, with the risk of stagnation described as existential given the rapidly evolving business landscape.
- Private credit and private equity will likely continue impacting hedge fund allocations due to reduced distributions from private assets over the past two to three years.
- Institutional investors are predicted to increasingly seek strategies that function as liquidity tools to manage drawdowns and capital calls, shifting focus from tail hedging to preventing forced equity sales during stress.
- The size of the "fed put" has "gone down dramatically," which is viewed as positive for the industry by removing coordinated central bank responses and creating real dispersion for alpha generation.
- The firm targets saving 50,000 hours by automating repeatable workflows using AI over the next "three to five years," driven by the belief that AI accessibility will be a "game changer."
- Implementation timelines for AI automation vary internally, with some segments expecting full automation in "nine to twelve months" while the speaker anticipates a "three to five years" phased approach to reduce repetitive tasks first.