Asia EQD 2024

Oct 15 – 16, 2024

Singapore | Asia

Attendance is for sponsoring banks, non-bank sellside and buysiders only. You must register to secure a spot in the room. Registrations are subject to approval.

Featured speakers

Asia EQD is the leading forum for asset allocators, portfolio managers and market makers to detail the latest trends, developments and opportunities in multi-asset, alternatives, volatility strategies and systematic investing across global markets.

The 9th annual Asia EQD agenda will feature panels and case studies with exclusive insights from international investors, portfolio managers and traders covering topics including portfolio construction, diversification through multi-asset investing, sourcing effective cross-asset defensive strategies and the benefits of systematic strategies in the current economic climate.

This unique in-person event provides the opportunity to interact with peers and hear about the latest strategies and perspectives from institutional investors from across the globe.

Keynote speaker

Dr. Thomas Schmelzer, quantitative research and development lead at the Abu Dhabi Investment Authority (ADIA), collaborates on diverse topics and strategies with some of the best minds in industry. With a DPhil in Computing from the University of Oxford as a Rhodes Scholar at Balliol College under Lloyd Nick Trefethen FRS, his academic and professional journey is extensive.

Previously, Dr. Schmelzer held senior quant roles at Winton Capital, IMC Trading, and Oxford Asset Management, later he became the Head of Research at Lobnek Wealth Management in Geneva. His experiences at these hedge funds led to the development of the “Seven Sins in Portfolio Optimization” with Raphael Hauser.

In 2023, Thomas undertook a sabbatical at Stanford University, working with Stephen Boyd, Kasper Johansson and Philipp Schiele. Their collaboration focused on high-performance algorithms for portfolio construction, statistical arbitrage opportunities, covariance matrix estimation and revisiting Markowitz’s critical line algorithm. Dr. Schmelzer will discuss his recent papers, including ongoing research, stemming from his time in Palo Alto.

Thomas Schmelzer

quantitative R&D lead and visiting scholar, The Abu Dhabi Investment Authority (ADIA) and Stanford University