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MODELING RANDOM ASSET RETURN BEHAVIOR USING AN OPTIMAL MULTI-PERIOD SPECTRUM

Wale Babajide Chukwuma Aharan
Published 26 February 2025
Vol. 12, No. 3 (2024)
pp. 23-29
CC BY 4.0
  1. 1
    Wale Babajide Chukwuma Aharan
    Department of Mathematics and Statistics, Imo State Polytechnic, Omuma, Nigeria.
    NG

Options have become extremely popular and the reasons behind that can be summarized in two points; they are attractive tools both for speculation and hedging. If their price can be determined: therefore their trading can be done with a certain confidence.The vendor of the option have two mains questions. How much should the buyer of the option pay in other words, how to access the price at the time t = 0 and the richness available at time T ?becomes the pricing problem. Multi fractals offer a well-defined set of answers to this question because it has the capability of generating various degree of long term memory in different powers of return. A model cannot capture all aspects of reality but rather a simple version that focuses on some particular point of interest. We present a dynamic multi-period spectrum model of variation of the capital market price aimed at determining the growth rate of an asset, using a continuous rate of return,???????? = −????−????????; and the optimal trading strategy.

JournalInternational Journal of Data Science and Statistics
ISSN3065-0577
Volume / IssueVol. 12, No. 3 (2024)
Pages23-29
Published26 February 2025
DOI10.5281/zenodo.14930696
Access Open Access
LicenseCC BY 4.0 — reuse with attribution
PublisherKeith Publications
Aharan , W. (2025). MODELING RANDOM ASSET RETURN BEHAVIOR USING AN OPTIMAL MULTI-PERIOD SPECTRUM. International Journal of Data Science and Statistics, Vol. 12 No. 3, pp. 23-29. DOI: https://doi.org/10.5281/zenodo.14930696

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