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Title: A Bayesian time-varying approach to risk neutral density estimation Authors:  Enrique ter Horst - CESA (Colombia) [presenting]
Roberto Casarin - University Ca' Foscari of Venice (Italy)
German Molina - Idalion Hedge Fund (United States)
Abstract: The aim is to expand the literature of risk neutral density estimation across maturities from implied volatility curves, usually estimated and interpolated through cubic smoothing splines. The risk neutral densities are computed through the second derivative, which we extend through a Bayesian approach to the problem, featuring: (1) an extension to a multivariate setting across maturities and over time; (2) a flexible estimation approach for the smoothing parameter, traditionally assumed common to all assets, known and fixed across maturities and time, but now potentially different between assets and maturities, and over time; and (3) information borrowing about the implied curves and risk neutral densities not only across different option maturities, but also dynamically.