grepcent / static financial knowledge base

North American Class I railroads peer review

North American Class I railroads Market-Risk Comparison

Descriptive market-risk statistics — not investment advice; past performance does not indicate future results. This companion page uses lmfin computations from a pinned Yahoo adjusted-close window. It is not a rating, recommendation, endorsement, forecast, or investment judgment. See Disclaimer.

Window: 3y ending 2026-06-30. Benchmark: SPY.

Member return/risk statistics

For North American Class I railroads, lmfin computes each included member's Sharpe ratio, beta vs SPY, annualized volatility, annualized return, and maximum drawdown over the pinned price window. The table below substitutes those values from the frozen pack.

PCA factor structure

lmfin's PCA run computes PC1 variance 69.78% and PC2 variance 14.70% from the aligned member return matrix. Loadings are reported as numeric factor coefficients, not as quality judgments.

Beta figure

North American Class I railroads beta vs SPY. Source: lmfin perf; Yahoo adjusted close; window ending 2026-06-30.North American Class I railroads beta vs SPYWindow 3y ending 2026-06-30Source: lmfin perf; Yahoo adjusted close; window ending 2026-06-30.Beta vs SPYBeta vs SPY (ratio)0.000.501.00UNP0.60return 14.18%CSX0.69return 15.04%NSC0.74return 16.15%CNI0.62return 3.75%CP0.71return 5.65%

Comparison table

TickerSharpeBetaAnnualized volatilityAnnualized returnMax drawdown
UNP0.470.6021.86%14.18%-17.75%
CSX0.500.6922.22%15.04%-29.44%
NSC0.500.7424.52%16.15%-25.11%
CNI-0.000.6220.96%3.75%-29.13%
CP0.080.7122.80%5.65%-25.88%

PCA summary

PC1 variance explained: 69.78%. PC2 variance explained: 14.70%.

TickerPC1 loadingPC2 loading
UNP0.46-0.29
CSX0.45-0.37
NSC0.46-0.41
CNI0.440.55
CP0.440.56

Pair check

PairCointegrated?OLS hedge ratioR-squaredSpread z-score
No pair check stored for this cluster.

Provenance

lmfin: lmfin 0.1.0. PCA command: lmfin factors UNP CSX NSC CNI CP --window 3y --end 2026-06-30 --json. Price source: yahoo; price field: adjusted_close; window start: 2023-07-03; window end: 2026-06-30. Performance, PCA, and pair statistics are lmfin computations from Yahoo adjusted-close data over the pinned window. Descriptive data, not advice.