Goose Hollow is a global macro investment manager.
Our focus?
Finding unanchored expectations.
Forward thinking global macro.
Goose Hollow is a global macro investment manager located just outside the New York City area. The investment team is led by Krishna Kumar and has over two decades of global macro experience, with a focus on derivatives and applying best-in-class technology. The firm looks to develop long-term partnerships with its clients, community, and service providers. We combine fundamental research with system dynamics and agent-based models to understand the feedback loops and crowd behaviour that drive markets.
Diversified exposure across liquid global markets. Two ways to access it.
Our global macro process in an exchange-traded fund, GHTA — diversified exposure to multiple asset classes within liquid markets, accessible from any brokerage account.
Explore GHTAOur strategies delivered through separately managed accounts, for investors who want direct ownership and a mandate built around their portfolio.
Enquire about managed accountsFoundations of Goose Hollow.
Six principles shape how we research, structure, and manage every position — and how we grow as a team.
- 01
Business Cycle Analysis
We anchor our view in where economies sit in the cycle, and where market expectations have drifted from it.
- 02
Derivative Structuring
Positions are structured to express a view with an attractive balance of risk and reward.
- 03
Process Driven
A disciplined, repeatable methodology guides how opportunities are found, sized, and exited.
- 04
Comprehensive Risk Management
Market, credit, and geopolitical risk are assessed and monitored continuously. We are all risk managers.
- 05
Systems Modelling
System dynamics, agent-based models and machine learning map the feedback loops and crowd behaviour behind market moves.
- 06
Growth Mindset
Our tools and our thinking evolve as more data becomes available and markets change.
Feedback loops, delays and crowds.
Markets are complex systems, and these forces decide whether a trend reinforces itself or breaks. We use system dynamics and agent-based models to see them, and you can explore two of our toy models.
See how we think