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Optimal Stochastic Decensoring and Applications to...
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Optimal Stochastic Decensoring and Applications to Calibration of Market Models

Abstract

Typically flat filling, linear or polynomial interpolation methods to generate missing historical data. We introduce a novel optimal method for recreating data generated by a diffusion process. The results are then applied to recreate historical data for stocks.

Authors

Kratsios A

Publication date

December 13, 2017

DOI

10.48550/arxiv.1712.04844

Preprint server

arXiv
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