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Macro “pattern matching” + online portfolios = Sharpe ~1.3 across major equity indices.

Most pattern-matching strategies only look at prices. This preprint flips it:

  • Step 1: pick stocks that actually “move with macro” using Δβ (asymmetric macro sensitivity)

  • Step 2:cluster them (hierarchical + symmetric uncertainty) to avoid redundant bets

  • Step 3:two-stage analogue search: find similar macro regimes in history, then find similar stock patterns within those regimes

  • Step 4: weight macro signals by spillover importance, pick the strongest name per cluster, and allocate

Results (1995–2023, daily): the macro-aware clustered model is the top performer, reporting ~110% cumulative (EW) on S&P 500 and strong outperformance on Dow + Nikkei too.

papers.ssrn.com/sol3/pa…

Jan 23
at
11:25 PM
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