Search Results for author: Daiki Maki

Found 2 papers, 0 papers with code

Parameters identification for an inverse problem arising from a binary option using a Bayesian inference approach

no code implementations23 May 2022 Yasushi Ota, Yu Jiang, Daiki Maki

We identify the model coefficients from the measured data and attempt to find arbitrage opportunities in different financial markets using a Bayesian inference approach, which is presented as an IOP solution.

Bayesian Inference

The impacts of asymmetry on modeling and forecasting realized volatility in Japanese stock markets

no code implementations30 May 2020 Daiki Maki, Yasushi Ota

This study investigates the impacts of asymmetry on the modeling and forecasting of realized volatility in the Japanese futures and spot stock markets.

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