SKHY: factor decomposition (Technology)

How much of SKHY's move over the window is systematic (market, XLK sector-excess, rate-excess via TLT) vs. idiosyncratic (stock-specific).

Return decomposition (log-return points, additive)

Market+5.59ppSector (excess)+21.40ppRate (excess)-5.10ppIdiosyncratic-11.53pp

Factor betas

Beta · Market (SPY)+3.02
Beta · Sector-excess (XLK)+4.45
Beta · Rate-excess (TLT)+0.95
R²0.60
Window2026-07-13 → 2026-09-24 (52 trading days)

Read

R² is 0.60: a reasonably reliable fit; the betas and the split below are worth reading at face value.

Note: the net move here (+10.4pp) is small relative to the systematic and idiosyncratic swings underneath it; they're largely offsetting each other, which is why the idiosyncratic share below exceeds 100% (it's dividing by a small net, not an error). Read the pp values themselves as the meaningful numbers here, not the ratio.

Of SKHY's +10.4pp move over this window, -11.5pp (111% of the total magnitude) is idiosyncratic, not explained by riding market, sector, or rate moves. The rest (+21.9pp) came from systematic exposure: market +5.6pp, sector +21.4pp, rate -5.1pp.