Factor Tilt (Value/Growth/Quality) Calculator

Analyze your portfolio’s exposure to value, growth, and quality factors with precision. Paste holdings and factor scores, choose weighting, and instantly see weighted averages, benchmark-relative tilts, and contribution-by-holding. Handles long/short, auto-normalizes weights, supports CSV input, and exports clean results. Built for portfolio managers, quants, and curious investors who demand transparent, auditable calculations. Clear tables, scenario toggles, and helpful formula explanations.

Inputs

Weights can be percentages or decimals; negatives allowed. Factor scores must be on the same scale across holdings (e.g., z-scores).
Reset

Methodology

Portfolio exposures are computed as the weighted average of factor scores. Let weights be wi and factor scores Fi. Then exposure is

Exposure = (Σ wi · Fi) / Σ wi

If the net weight sum is ~0 (e.g., long/short), the calculator switches to gross normalization using Σ|wi|. Tilts are the difference between portfolio exposure and benchmark exposure.

Results

Portfolio Exposure
Value: -0.1067
Growth: 0.2800
Quality: 0.6933
Benchmark
Value: 0.0000
Growth: 0.0000
Quality: 0.0000

Tilt (Portfolio − Benchmark)
Value Tilt: -0.1067
Growth Tilt: 0.2800
Quality Tilt: 0.6933

Contribution by Holding (to Tilt)

Ticker Norm Wt Value Growth Quality
AAPL 0.2000 -0.0800 0.1200 0.1600
MSFT 0.1778 -0.0533 0.0889 0.1600
GOOGL 0.1333 -0.0267 0.0533 0.0933
JNJ 0.0889 0.0267 -0.0178 0.0533
XOM 0.0778 0.0467 -0.0389 0.0311
BRK.B 0.1111 0.0444 -0.0222 0.0556
NVDA 0.1333 -0.0800 0.1200 0.0933
PG 0.0778 0.0156 -0.0233 0.0467

Frequently Asked Questions

1) What is a factor tilt?

It is the difference between your portfolio’s factor exposure and a benchmark’s exposure. Positive tilt indicates overweight; negative tilt indicates underweight.

2) What scale should factor scores use?

Use a consistent scale across holdings (e.g., standardized z-scores or percentile ranks). The benchmark must be on the same scale to make tilts meaningful.

3) Do weights need to sum to 100%?

No. The tool can normalize weights to sum to one. For long/short portfolios where net weight is near zero, it switches to gross normalization.

4) Can I enter negative (short) positions?

Yes. Negative weights are supported and are incorporated into exposures and contributions.

5) What does winsorizing do?

Winsorizing caps extreme factor scores to a chosen range (here, [-5, +5]) to reduce the impact of outliers on portfolio averages and tilts.

6) How are contributions calculated?

Each holding’s contribution equals its normalized weight multiplied by the difference between its factor score and the benchmark exposure for that factor.

7) Can I use this with percent weights?

Yes. You can paste weights like “5%” or “0.05”. If normalization is enabled, the tool rescales them to sum to one before computing exposures.

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Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.