Testing of Binary Regime Switching Models using Squeeze Duration Analysis
Milan Kumar Das and
Anindya Goswami
Papers from arXiv.org
Abstract:
We have developed a statistical technique to test the model assumption of binary regime switching extension of the geometric Brownian motion (GBM) model by proposing a new discriminating statistics. Given a time series data, we have identified an admissible class of the regime switching candidate models for the statistical inference. By performing several systematic experiments, we have successfully shown that the sampling distribution of the test statistics differs drastically, if the model assumption changes from GBM to Markov modulated GBM, or to semi-Markov modulated GBM. Furthermore, we have implemented this statistics for testing the regime switching hypothesis with Indian sectoral indices.
Date: 2018-07, Revised 2018-08
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Published in Int. J. Financ. Eng. 6 (2019), no. 1, 1950006 (20 pages)
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1807.04393
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