{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T12:45:31Z","timestamp":1791809131703,"version":"4.3.4"},"posted":{"date-parts":[[2026]]},"group-title":"SSRN","reference-count":8,"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>We examine how benchmark-relative risk and trading constraints affect signal expression and net performance in a surviving ten-ETF panel. Monthly long-only portfolios combine momentum, low-volatility and short-term reversal preferences and are compared with a monthly 60\/40 policy, equal weight and inverse volatility. Decisions use a two-session information lag. Development (2011-2017), validation (2018-2022) and holdout (2023-September 2026) are evaluated separately. Following development\/validation execution failures, formation reserves were introduced and the corrected specification was frozen before holdout evaluation. Under the tested settings, turnover restricted signal expression more than the tracking-error range; the 8% and 12% risk limits were largely nonbinding. Greater signal capture did not establish stronger investment performance. The primary model underperformed the policy in development and validation. In the final holdout, the primary model's net CAGR is 13.72% versus 12.33% for the frictionless policy. Annualized arithmetic active return is 1.23% with a descriptive 95% block interval [-1.55%, 3.90%]. Regime awareness made little difference, and interrupted paths remain visible. This retrospective pseudo-out-of-sample study does not establish persistent alpha or a general ranking of portfolio constraints. Exact-input reproduction requires the original, non-public data bundle; fresh acquisition permits approximate replication using a potentially revised historical vintage.<\/jats:p>","DOI":"10.2139\/ssrn.7587542","type":"posted-content","created":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T08:55:51Z","timestamp":1791536151000},"source":"Crossref","is-referenced-by-count":0,"title":["Benchmark-Relative Systematic Portfolio Construction"],"prefix":"10.2139","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-7830-9468","authenticated-orcid":true,"given":"Aniket","family":"Bhardwaj","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"ref1","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1111\/j.1540-6261.1993.tb04702.x","article-title":"Returns to buying winners and selling losers: Implications for stock market efficiency","volume":"48","author":"N Jegadeesh","year":"1993","journal-title":"Journal of Finance"},{"issue":"1","key":"ref2","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1111\/j.1540-6261.2006.00836.x","article-title":"The cross-section of volatility and expected returns","volume":"61","author":"A Ang","year":"2006","journal-title":"Journal of Finance"},{"issue":"1","key":"ref3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2307\/2937816","article-title":"Fads, martingales, and market efficiency","volume":"105","author":"B N Lehmann","year":"1990","journal-title":"Quarterly Journal of Economics"},{"issue":"2","key":"ref4","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1016\/S0047-259X(03)00096-4","article-title":"A well-conditioned estimator for large-dimensional covariance matrices","volume":"88","author":"O Ledoit","year":"2004","journal-title":"Journal of Multivariate Analysis"},{"issue":"5","key":"ref5","doi-asserted-by":"crossref","first-page":"1915","DOI":"10.1093\/rfs\/hhm075","article-title":"Optimal versus naive diversification: How inefficient is the 1\/N portfolio strategy?","volume":"22","author":"V Demiguel","year":"2009","journal-title":"Review of Financial Studies"},{"issue":"3","key":"ref6","doi-asserted-by":"crossref","first-page":"1217","DOI":"10.1214\/aos\/1176347265","article-title":"The jackknife and the bootstrap for general stationary observations","volume":"17","author":"H R K\u00fcnsch","year":"1989","journal-title":"Annals of Statistics"},{"key":"ref7","author":"Tigzig","year":"2026","journal-title":"Yahoo Finance Data API documentation"},{"key":"ref8","author":"Tigzig","year":"2026","journal-title":"Terms of Use"}],"container-title":[],"original-title":[],"deposited":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T11:54:57Z","timestamp":1791806097000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ssrn.com\/abstract=7587542"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":8,"URL":"https:\/\/doi.org\/10.2139\/ssrn.7587542","relation":{},"subject":[],"published":{"date-parts":[[2026]]},"subtype":"preprint"}}