Neo Risk Investment Advisors Limited is a Hong Kong SFC-registered investment advisor and fund manager.
We take an innovative approach to investing that focuses on risk management to deliver superior investment results. Our approach enables us to construct investment portfolios that are resilient in volatile markets; our aim is to control risk and limit losses when markets are weak.
We use a variety of tools that are grounded in academic research but have been tested in the real world to measure, monitor and manage risk actively, including quantitative risk modeling, advanced asset allocation and derivatives.
The NeoRisk management team, led by Dr. Harold Kim, formed the core of an award-winning multi-asset investor business at an industry-leading investment firm, with decades of experience in Asian markets.
We have a team with decades of experience in sales, structuring and trading in Asian markets, specializing in derivatives, quantitative modeling and asset allocation.
Risk and Investment Consulting
We consult with clients on a variety of risk and investment topics, including issues related to derivatives structuring, pricing, trading and risk management; algorithmic and quantitative strategies; and advanced asset allocation models and portfolio construction.
We work as investment advisors and sub-advisors with clients to tailor their investment exposure and improve performance. We use derivatives, quantitative models and asset allocation as our tools. The advisory approach is very much client-driven and meant to provide a solution to client issues and problems. Typical issues include hedging, risk and liability management, capital preservation and yield enhancement.
We have the expertise, systems and infrastructure to serve as fund managers for clients who require a packaged fund product for distribution or require the expertise to manage derivatives, quantitative model-driven investments or risk management strategies.
Our first fund, the Neo Risk REAP Asia Equity Fund, incorporates our risk-focused investment approach.