Highlights

Highlights of recent research

  • "Understanding the Momentum Risk Premium: An In-Depth Journey Through Trend-Following Strategies", Amundi White Paper series (2017).
  • Collaborators: Paul Jusselin, Edmond Lezmi, Hassan Malongo, Côme Masselin, Thierry Roncalli.

    Abstract Momentum risk premium is one of the most important alternative risk premia. Since it is considered a market anomaly, it is not always well understood. Many publications on this topic are therefore based on backtesting and empirical results. However, some academic studies have developed a theoretical framework that allows us to understand the behavior of such strategies. In this paper, we extend the model of Bruder and Gaussel (2011) to the multivariate case. We can find the main properties found in academic literature, and obtain new theoretical findings on the momentum risk premium. In particular, we revisit the payoff of trend-following strategies, and analyze the impact of the asset universe on the risk/return profile. We also compare empirical stylized facts with the theoretical results obtained from our model. Finally, we study the hedging properties of trend-following strategies.

  • "Tail protection for long investors: Trend Following at work", Journal of Investment Strategies (2017).
  • Collaborators: Trung-Tu Nguyen, Cyril Deremble, Yves Lemperiere, Jean-Philippe Bouchaud, Marc Potters.

    Abstract The performance of trend following strategies can be ascribed to the difference between long-term and short-term realized variance. We revisit this general result and show that it holds for various definitions of trend strategies. This explains the positive convexity of the aggregate performance of Commodity Trading Advisors (CTAs) which -- when adequately measured -- turns out to be much stronger than anticipated. We also highlight interesting connections with so-called Risk Parity portfolios. Finally, we propose a new portfolio of strangle options that provides a pure exposure to the long-term variance of the underlying, offering yet another viewpoint on the link between trend and volatility.

Recent presentations

About me

Previously, Tung-Lam Dao was Portfolio Manager and Research Manager at Capital Fund Management (CFM) where he was specialist on directional strategies and volatility trading. Prior to joining CFM, he was quantitative analyst at Lyxor Asset Management during his internship under the supervision of Dr. Thierry Roncalli. His research interest concerns mainly the behavior of momentum strategies, risk premium, volatility dynamics and portfolio construction. He graduated from Ecole Polytechnique and he holds a PhD in theoretical physics under the supervision of Prof. Antoine Georges and obtained a Master in Financial mathematics.

  EDUCATION

PhD at Center for Theoretical Physics, Ecole Polytechnique

MS in Financial Mathematics, (DEA de Laure Elie, Paris 7)

MS in Theoretical Physics, Ecole Normale Superieure de Paris

BS in Theoretical Physics and Applied Mathematique, Ecole Polytechnique

Undergraduate at Honor Program, Hanoi University of Sciences

  AWARDS

Natixis Prize for best M.Sc. thesis in quantitative Finance, France, 2012

Best Ph.D. Prize in Physics at Ecole Polytechnique, France, 2009

Ph.D. Fellowship "Gaspard Monge" of Ecole Polytechnique, France, 2005-2008

Scholarship from the French Ministry of Foreign Affairs, France, 2001

Silver medal in International Mathematics Olympiad, Italy, 1999

Interview with "Fondation Sciences Mathematiques de Paris (FSMP)"

Experiences

Researcher and Portfolio Manager in an established multi-strategy systematic fund// Responsible for alpha generation and portfolio construction in futures and options//Product owner of IT-Simulation platform deployed firm-wide// PhD in Theoretical Physics.

Capital Fund Management (CFM) S.A., Paris, France

Portfolio Manager, VolDir & ISP (volatility) funds, 3/2017 - 9/2017.

Research Manager, VolDir (volatility) fund, 5/2012 - 3/2017.

Roles: Alpha and Portfolio construction, Developer of IT-Simulation platform.

Specialties: Theoretical aspects of time-series filtering and portfolio allocation

Lyxor Asset Management, Paris, France

Research Fellow, 4/2011 - 11/2011

Linear and non-linear filter (L1, L2, SVM) for momentum strategies.

Range based estimation of volatility, two timescale estimation of intraday volatility.

Analysis of CTA performance based on risk-return framework.

Optical Institute, Paris, France              

Research Fellow, 4/2011 - 11/2011

Ecole Polytechnique, Palaiseau, France

Research Fellow, Physics, 10/2008 - 8/2009

Working Papers