researcherfinancestockholmmachine-learninglead-laggeographic-momentum

Riccardo Sabbatucci

Department of Finance, Stockholm School of Economics. Co-author of Moskowitz Sabbatucci Tamoni Uhl 2025 Nonlinear TSMOM and Parsons, Sabbatucci & Titman 2016/2018 — 地理引线-滞后效应.

Affiliations

  • Stockholm School of Economics, Department of Finance.

Key contributions

  • Nonlinear Time Series Momentum (2025) — the empirical ANN-based estimation of the nonlinear signal mapping in TSMOM, with the result that ML recovers a function close to the Ferson-Siegel Optimal Weighting theory.
  • Geographic Lead-Lag Effects (Parsons, Sabbatucci & Titman, 2016/2018) — co-author of the paper that identifies lead-lag returns between co-headquartered firms in different sectors; co-proposes the "analyst coverage overlap" mechanism (see Analyst Coverage Overlap).

Research themes

See also