{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T18:48:56Z","timestamp":1791830936970,"version":"4.3.4"},"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:\/\/www.uspto.gov\/ip-policy\/copyright-policy\/copyright-basics"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>Volatility targeting (VT) strategies scale equity exposure inversely to expected volatility, producing well-documented tail-risk reductions but persistent return shortfalls relative to buy-and-hold. We decompose this return gap\u2014the \"insurance premium\"\u2014into opportunity cost (returns foregone by reducing equity participation) and direct cost (transaction expenses from rebalancing). Using daily S&amp;amp;P 500 data conditioned on the CBOE VVIX index over 2012\u20132024 (3,262 trading days, N = 3,261 returns), we find that opportunity cost accounts for 90% of the total insurance premium under unconditional VT (4.05% vs. 0.43% per annum). The share is imprecisely estimated\u2014its stationary-bootstrap 95% interval is [37%, 95%], which does not exclude direct cost exceeding opportunity cost\u2014so what survives resampling is the level of the premium ([0.66%, 8.01%] per annum), not the split. VVIX-conditional targeting\u2014activating VT only when the volatility-of-volatility z-score exceeds 1.0\u2014reduces total cost by 74% in the full sample (from 4.48% to 1.18%), primarily by not reducing equity exposure in low-VoV or falling-VIX regimes. This reduction, however, does not survive uncertainty quantification: the conditional strategy's premium is not bounded away from zero under resampling, and cross-OOS analysis over six non-overlapping windows shows it beats buy-and-hold on Sharpe in only 2. We therefore treat VVIX conditioning as a hypothesis-generating in-sample accounting result rather than a validated trading rule. The 50\/50 SPY\/GLD benchmark earns a 54 basis-point average rebalancing premium (negative in two of four sub-periods), raising the bar for VT to clear. These findings redirect the VT design problem from minimizing transaction costs to measuring when opportunity cost dominates the insurance premium.<\/jats:p>","DOI":"10.2139\/ssrn.7600220","type":"posted-content","created":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T18:40:54Z","timestamp":1791830454000},"source":"Crossref","is-referenced-by-count":0,"title":["The True Cost of Volatility Targeting: Decomposing the Insurance Premium into Opportunity and Transaction Components"],"prefix":"10.2139","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3226-3502","authenticated-orcid":true,"given":"Yi-Hao","family":"Lai","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","container-title":[],"original-title":[],"deposited":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T18:40:54Z","timestamp":1791830454000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ssrn.com\/abstract=7600220"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":0,"URL":"https:\/\/doi.org\/10.2139\/ssrn.7600220","relation":{},"subject":[],"published":{"date-parts":[[2026]]},"subtype":"preprint"}}