MODELING RANDOM ASSET RETURN BEHAVIOR USING AN OPTIMAL MULTI-PERIOD SPECTRUM
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.
| Journal | International Journal of Data Science and Statistics |
| ISSN | 3065-0577 |
| Volume / Issue | Vol. 12, No. 3 (2024) |
| Pages | 23-29 |
| Published | 26 February 2025 |
| DOI | 10.5281/zenodo.14930696 |
| Access | Open Access |
| License | CC BY 4.0 — reuse with attribution |
| Publisher | Keith Publications |
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