Join Us In Hong Kong
The 3 rd annual Asia EQD – The Volatility & Alternative Risk Premia Forum – will take place at The Ritz Carlton Hong Kong on Oct. 24-25, 2018. The tallest volatility, alternative risk premia and machine learning focused event around the world will feature presentations and panels led by the leading traders, strategists, asset managers and institutional investors active in the market. Agenda updates are available here.
Michael Green, Thiel Macro
Modern Portfolio Theories In The Context Of Embedded Short Vol
Michael Green, CFA, has over twenty years of direct investment management experience across multi-strategy hedge funds, mutual funds and separate account management. Prior to joining Thiel Macro, LLC, Mr. Green founded Ice Farm Advisors, a discretionary global macro hedged fund. Mr. Green founded and managed the New York office and global macro strategies for Canyon Capital Advisors, a $23B multi-strategy hedge fund based in Los Angeles and was a Portfolio Manager with Royce & Associates, a $39B AUM division of Legg Mason where he managed open end, closed and mutual funds. He is a graduate of the Wharton School at the University of Pennsylvania and a member of the New York Society of Security Analysts (NYSSA).
Asia EQD 2018 Speakers Include:
Nader Naeimi, AMP Capital
Alexis Maubourguet, Argentière Capital
Daniel Scinto, BFAM Partners
El Mehdi Benhmade, Capula Investment Management
Pete Fung, Managing Director, Citigroup
Stewart Warther, CLSA Alternative Investment Management
Stephan Kessler, Goldman Sachs Asset Management
Natasha Sibley, Janus Henderson Investors
Yann le Her, La Francaise Global Investment Solutions
Jacob Weinig, Malachite Capital Management
Michael Dyer, Neuberger Berman Asia Ltd.
Chi Kit Chai, Ping An
Sandrine Ungari, Societe Generale
Asia EQD is a private event for fund managers, allocators and traders, and focuses on the latest trends and developments in volatility and alternative risk premia investing in APAC and in other global cross-asset markets, as well as the growing trend of machine learning in investment management.