
Volatility Trading
- Alpha prediction
- Systematic trading platform
- Stochastic volatility models
PhD in Theoretical Physics, MSc in Mathematical Finance
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.
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.
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.
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
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
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.
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
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.
Research Fellow, 4/2011 - 11/2011
Research Fellow, Physics, 10/2008 - 8/2009