{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T03:32:14Z","timestamp":1793417534580,"version":"4.5.0"},"posted":{"date-parts":[[2026]]},"group-title":"SSRN","reference-count":0,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>&lt;p&gt;Traditional contingent claim metrics have spent a half-century trapped behind a wall of black-box mathematics, forcing practitioners and financial institutions to manage portfolio risk using a highly distorted \"implied volatility smile\". This paper provides an exhaustive, multi-layered roadmap to unmask this illusion and extract the true, unwarped physical return of an underlying stock directly from options market data in the Rubinstein dataset which has been used by the researcher in numerous papers. By summarizing a multi-decade research trajectory on the Social Science Research Network (SSRN) and decomposing the Moore Model into a transparent, five-step operational pipeline, we track the journey of data from raw exchange transactions to a perfectly flat, invariant physical asset return baseline resting cleanly between 21.04% and 21.19% in the Rubinstein dataset.&lt;\/p&gt;\n&lt;p&gt;To maximize accessibility for the profession, each stage of the pipeline is split into a consistent, three-part layout: a spatial diagram with its corresponding formula, an advanced mathematical engineering specification for quantitative researchers (The Quant Track), and a common-sense translation for institutional asset managers and MBAs (The Managerial Track). We demonstrate that traditional tail-tracking failures are not a property of the underlying stock's random path, but are purely deterministic artifacts caused by mixing incompatible mathematical spaces. This guide serves as an independent, fully copy-pasteable blueprint to bring the entire academic and institutional spectrum up to speed on scale-invariant coordinate restoration.&amp;nbsp;&amp;nbsp;&lt;\/p&gt;<\/jats:p>","DOI":"10.2139\/ssrn.7670258","type":"posted-content","created":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T03:28:25Z","timestamp":1793417305000},"source":"Crossref","is-referenced-by-count":0,"title":["The Theory of Extracting True Stock Returns from Options: A Pedagogical Roadmap and Executive Companion to the 5-Step Moore Field Model"],"prefix":"10.2139","author":[{"given":"Gary","family":"Moore","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","container-title":[],"original-title":[],"deposited":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T03:28:25Z","timestamp":1793417305000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ssrn.com\/abstract=7670258"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":0,"URL":"https:\/\/doi.org\/10.2139\/ssrn.7670258","relation":{},"subject":[],"published":{"date-parts":[[2026]]},"subtype":"preprint"}}