Relatore:
Diego Ronchetti
- University of Groningen
mercoledì 7 novembre 2018
alle ore
12.00
Polo Santa Marta, Via Cantarane 24, Sala Vaona
I propose a nonparametric econometric method for the consistent estimation of measures of unhedgeable risks and the values for the structural parameters that cap them at reference levels. Each measure is a solution of a dynamic stochastic optimization problem. The estimation method is a kernel-based estimation technique to match (non-linear) functionals of the probability density function of the state variables with reference levels. I illustrate the method in the estimation of the minimal endowments and costs for trade execution that bound the degree of incompleteness of a financial market featuring unspanned stochastic volatility of the asset returns. I describe the asymptotic properties of the estimators for a large time series, and how to study their finite sample properties in a Markovian setting through a resampling method.
- Referente
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Roberto
Reno'
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Referente esterno
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- Data pubblicazione
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24 agosto 2018
