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Correlated Log-Normal Random Variables under a Multiscale Volatility Model
Author(s) -
YongKi Ma
Publication year - 2021
Publication title -
advances in mathematical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.283
H-Index - 23
eISSN - 1687-9139
pISSN - 1687-9120
DOI - 10.1155/2021/5916312
Subject(s) - volatility (finance) , mathematics , mean reversion , statistical physics , perturbation (astronomy) , computer science , econometrics , physics , quantum mechanics
The study focuses on extending the fast mean-reversion volatility, which was developed by the author in a previous work, to the multiscale volatility model so that it can express a well-separated time scale. The leading-order term and first-order correction terms are analytically computed using the perturbation theory based on the Lie–Trotter operator splitting method. Finally, the study is concluded by deriving the numerical results that further validate the effectiveness of the model.

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