Publications
Published and accepted papers:
F. Giorgi, S. Herzel, P. Pigato. A Reinforcement Learning Algorithm for Trading Commodities. Applied Stochastic Models in Business and Industry, 40(2), 373-388, 2024. [journal - ssrn]
S. Mazzonetto, P. Pigato. Drift estimation of the threshold Ornstein-Uhlenbeck process from continuous and discrete observations. Statistica Sinica, 34, 313-336, 2024. [journal - supplementary material - arxiv]
G. Giorgio, B. Pacchiarotti, P. Pigato. Short-time asymptotics for non self-similar stochastic volatility models. Applied Mathematical Finance, 30(3), 123-152, 2023. [journal - arxiv]
F. Bourgey, S. De Marco, P. K. Friz, P. Pigato. Local volatility under rough volatility. Mathematical Finance, 33(4), 1119-1145, 2023. [journal - arxiv]
C. Bayer, D. Belomestny, P. Hager, P. Pigato, J. Schoenmakers, V. Spokoiny. Reinforced optimal control. Communications in Mathematical Sciences, 20(7), 1951-1978, 2022. [journal - arxiv]
P. K. Friz, P. Gassiat, P. Pigato. Short-dated smile under Rough Volatility: asymptotics and numerics. Quantitative Finance, 22(3), 463-480, 2022. [journal - arxiv]
P. Pigato. Density estimates and short-time asymptotics for a hypoelliptic diffusion process. Stochastic Processes and Their Applications, 145, 117-142, 2022. [journal - arxiv]
C. Bayer, F. Harang, P. Pigato. Log-modulated rough stochastic volatility models. SIAM Journal on Financial Mathematics, 12(3), 1257-1284, 2021. [journal - arxiv - ssrn]
C. Bayer, D. Belomestny, P. Hager, P. Pigato, J. Schoenmakers. Randomized optimal stopping algorithms and their convergence analysis. SIAM Journal on Financial Mathematics, 12(3), 1201–1225, 2021. [journal - arxiv]
P. K. Friz, P. Pigato, J. Seibel. The Step Stochastic Volatility Model. Risk magazine, June 2021. [journal - ssrn]
P. K. Friz, P. Gassiat, P. Pigato. Precise asymptotics: Robust stochastic volatility models. The Annals of Applied Probability, 31(2), 896-940, 2021. [journal - arxiv]
A. Lejay, P. Pigato. Maximum likelihood drift estimation for a threshold diffusion. Scandinavian Journal of Statistics, 47, 609-637, 2020. [journal - arxiv]
P. Pigato. Extreme at-the-money skew in a local volatility model. Finance and Stochastics, 23(4),827-859, 2019. [journal - wias preprint - published version (open access, view only)]
V. Bally, L. Caramellino, P. Pigato. Tube estimates for diffusions under a local strong Hörmander condition. Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, 55(4), 2320-2369, 2019. [journal - accepted version - arxiv part I, part II]
A. Lejay, P. Pigato. A threshold model for local volatility: evidence of leverage and mean reversion effects on historical data. International Journal of Theoretical and Applied Finance, 22(04), 1–24, 2019. [journal - ssrn - arxiv]
A. Lejay, P. Pigato. Statistical estimation of the Oscillating Brownian Motion. Bernoulli, 24:(4B), 3568-3602, 2018. [journal - arxiv]
P. Pigato. Tube estimates for diffusion processes under a weak Hörmander condition. Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, 54(1), 299-342, 2018. [journal - arxiv]
P. Dai Pra, P. Pigato. Multi-scaling of Moments in Stochastic volatility models. Stochastic Processes and Their Applications, 125(10), 3725-3747, 2015. [journal - arxiv]
Preprints under review:
S. Mazzonetto, P. Pigato. Estimation of parameters and local times in a discretely observed threshold diffusion model, 2024. [arxiv]
Other works:
M. Bonino, M. Camelia and P. Pigato. A multivariate model for financial indices and an algorithm for detection of jumps in the volatility, 2014. [arxiv]
Technical reports:
A. Lejay, P. Pigato. Data and methods for A threshold model for local volatility: evidence of leverage and mean reversion effects on historical data. Inria Technical Report RT-0494, 2017. [Hal]
My PhD thesis:
P. Pigato. Tube estimates for hypoelliptic diffusions and scaling properties of stochastic volatility models. Ph.D. Thesis, 2015, Università degli Studi di Padova and Université Paris-Est. [Hal]
Selected talks:
Estimation of piecewise-constant coefficients in a SDE Talk given on August 21, 2019, at the 62nd ISI World Statistics Congress (Kuala Lumpur)
Density and tube estimates for diffusion processes under Hörmander-type conditions Talk given on February 28, 2019 at the department of Statistics of Bologna University
Multiscaling of moments in stochastic volatility models Talk given on September 2, 2014, at the 7th European Summer School in Financial Mathematics (Oxford)