Market Exposure  โ€ข  NASDAQ  โ€ข  MXL
Market Exposure Analysis ยท NASDAQ ยท Technology

MXL Market Exposure

MaxLinear Inc ยท Semiconductors

Price performance, market sensitivity and downside behaviour against QQQ.

Terminal chart โ†—

Week ending Next update ยท 18:00 UK

52-week price performance
MXL +544.0%QQQ +24.6%
Rebased to 100 ยท weekly closes
Beta
3.19
Very high sensitivity ยท Rising
Benchmark fit (Rยฒ)
0.1525
15.25% of return variation
Relative strength
+106.09
Weakening, but still above benchmark
Downside beta
1.66
22 falling benchmark weeks
One-year return gap
+519.4 pp
544.0% stock ยท 24.6% benchmark
Research summary

Outperformance with high volatility

Price performance, benchmark fit and risk are separate readings. Returns exclude dividends.

Annualised volatility
149.8%MXL18.3%QQQ8.2ร—benchmark volatility

Same 52 weekly returns ยท View history โ†“

Market sensitivity

Partial benchmark fit

The benchmark accounts for 15.25% of weekly return variation over the latest year. Read beta alongside its range and the stockโ€™s own volatility.

View evidence โ†“
Performance

Ahead of the benchmark

The one-year return gap is +519.4 percentage points. Over 13 weeks it is +8.6 points.

View evidence โ†“
Downside behaviour

Downside participation

The stock fell in 64% of 22 falling benchmark weeks. Participation counts direction; beta measures sensitivity.

View evidence โ†“
52 completed weeks ยท same stock, same benchmark

The consistency behind the return

One large gain can outweigh many weaker weeks. Compare the full-year result with the frequency of outperformance and what actually happened when the benchmark fell.

Weeks ahead of QQQ32 / 52

62% of weeks outperformed. The median weekly return gap was +1.27 pp.

2025-10-10: stock -12.89%, benchmark -2.27%2025-10-17: stock 18.42%, benchmark 2.45%2025-10-24: stock -7.96%, benchmark 2.18%2025-10-31: stock -3.01%, benchmark 1.94%2025-11-07: stock -2.57%, benchmark -3.07%2025-11-14: stock -5.83%, benchmark -0.14%2025-11-21: stock -2.16%, benchmark -3.09%2025-11-28: stock 14.49%, benchmark 4.95%2025-12-05: stock 20.87%, benchmark 1.01%2025-12-12: stock -7.49%, benchmark -1.90%2025-12-19: stock 1.26%, benchmark 0.56%2025-12-26: stock 0.57%, benchmark 1.24%2026-01-02: stock 4.40%, benchmark -1.73%2026-01-09: stock 2.65%, benchmark 2.21%2026-01-16: stock 1.58%, benchmark -0.86%2026-01-23: stock -4.61%, benchmark 0.24%2026-01-30: stock -5.76%, benchmark -0.14%2026-02-06: stock 7.90%, benchmark -1.97%2026-02-13: stock 4.33%, benchmark -1.27%2026-02-20: stock -5.43%, benchmark 1.14%2026-02-27: stock -5.63%, benchmark -0.25%2026-03-06: stock -9.81%, benchmark -1.24%2026-03-13: stock 7.44%, benchmark -1.01%2026-03-20: stock -1.95%, benchmark -1.96%2026-03-27: stock 2.66%, benchmark -3.23%2026-04-03: stock 5.76%, benchmark 3.98%2026-04-10: stock 15.07%, benchmark 4.46%2026-04-17: stock 26.97%, benchmark 6.18%2026-04-24: stock 129.62%, benchmark 2.20%2026-05-01: stock 27.95%, benchmark 1.55%2026-05-08: stock 29.35%, benchmark 5.50%2026-05-15: stock -7.50%, benchmark -0.32%2026-05-22: stock 7.39%, benchmark 1.21%2026-05-29: stock -6.28%, benchmark 2.89%2026-06-05: stock -12.92%, benchmark -4.50%2026-06-12: stock 4.37%, benchmark 2.31%2026-06-19: stock 5.09%, benchmark 2.67%2026-06-26: stock 8.83%, benchmark -4.50%2026-07-03: stock -3.60%, benchmark 0.86%2026-07-10: stock -1.95%, benchmark 1.81%2026-07-17: stock -21.31%, benchmark -4.16%2026-07-24: stock -0.35%, benchmark -1.60%2026-07-31: stock -6.66%, benchmark 0.55%2026-08-07: stock 12.21%, benchmark 5.09%2026-08-14: stock 13.15%, benchmark 1.11%2026-08-21: stock -21.49%, benchmark -2.51%2026-08-28: stock -7.33%, benchmark 0.42%2026-09-04: stock 1.64%, benchmark 0.35%2026-09-11: stock 18.86%, benchmark -0.57%2026-09-18: stock 8.78%, benchmark 0.92%2026-09-25: stock 15.68%, benchmark 3.30%2026-10-02: stock 12.88%, benchmark 0.68%
2025-10-102026-10-02
Rose & beat benchmarkRose, but laggedFell, but held up betterFell & lagged

How the weeks divide

Rose & beat benchmark28
Rose, but lagged1
Fell, but held up better4
Fell & lagged19
0 tied the benchmark ยท 0 other flat-stock weeks. All 52 weeks remain in the denominator.
When the benchmark fell

Falling less is still a loss

Beat the benchmark
12 / 22
Finished positive
8 / 22
Median stock return
-2.37%

The first count includes weeks when MXL lost money but lost less than QQQ.

Explore the full downside evidence โ†“
One-week sensitivity check

How much does the strongest week change the picture?

Recompound both series after omitting 2026-04-24, the week with the largest stock-minus-benchmark return gap. This tests concentration; it does not revise the published result.

Full-year return gap+519.4 pp
Same dates, one week omitted+158.5 pp
Inspect all 52 weekly outcomes
Week endingMXLQQQReturn gap
2026-10-0212.88%0.68%12.20 pp
2026-09-2515.68%3.30%12.38 pp
2026-09-188.78%0.92%7.86 pp
2026-09-1118.86%-0.57%19.42 pp
2026-09-041.64%0.35%1.29 pp
2026-08-28-7.33%0.42%-7.75 pp
2026-08-21-21.49%-2.51%-18.98 pp
2026-08-1413.15%1.11%12.04 pp
2026-08-0712.21%5.09%7.12 pp
2026-07-31-6.66%0.55%-7.21 pp
2026-07-24-0.35%-1.60%1.25 pp
2026-07-17-21.31%-4.16%-17.15 pp
2026-07-10-1.95%1.81%-3.77 pp
2026-07-03-3.60%0.86%-4.46 pp
2026-06-268.83%-4.50%13.33 pp
2026-06-195.09%2.67%2.42 pp
2026-06-124.37%2.31%2.07 pp
2026-06-05-12.92%-4.50%-8.42 pp
2026-05-29-6.28%2.89%-9.18 pp
2026-05-227.39%1.21%6.17 pp
2026-05-15-7.50%-0.32%-7.18 pp
2026-05-0829.35%5.50%23.85 pp
2026-05-0127.95%1.55%26.40 pp
2026-04-24129.62%2.20%127.41 pp
2026-04-1726.97%6.18%20.79 pp
2026-04-1015.07%4.46%10.61 pp
2026-04-035.76%3.98%1.78 pp
2026-03-272.66%-3.23%5.88 pp
2026-03-20-1.95%-1.96%0.01 pp
2026-03-137.44%-1.01%8.45 pp
2026-03-06-9.81%-1.24%-8.57 pp
2026-02-27-5.63%-0.25%-5.38 pp
2026-02-20-5.43%1.14%-6.57 pp
2026-02-134.33%-1.27%5.59 pp
2026-02-067.90%-1.97%9.86 pp
2026-01-30-5.76%-0.14%-5.62 pp
2026-01-23-4.61%0.24%-4.85 pp
2026-01-161.58%-0.86%2.44 pp
2026-01-092.65%2.21%0.44 pp
2026-01-024.40%-1.73%6.13 pp
2025-12-260.57%1.24%-0.67 pp
2025-12-191.26%0.56%0.70 pp
2025-12-12-7.49%-1.90%-5.60 pp
2025-12-0520.87%1.01%19.87 pp
2025-11-2814.49%4.95%9.54 pp
2025-11-21-2.16%-3.09%0.93 pp
2025-11-14-5.83%-0.14%-5.68 pp
2025-11-07-2.57%-3.07%0.50 pp
2025-10-31-3.01%1.94%-4.95 pp
2025-10-24-7.96%2.18%-10.14 pp
2025-10-1718.42%2.45%15.98 pp
2025-10-10-12.89%-2.27%-10.62 pp

Actual historical price returns, excluding dividends and costs. Weekly counts and medians describe consistency, not a probability for the next week. The one-week check uses the same 51 dates for both series, with no rescaling or interpolation.

Beta research

Beta and portfolio risk

Beta combines the strength of the benchmark relationship with the stockโ€™s relative volatility. Separating them shows whether a low beta comes from smaller moves or a weak connection to the market.

The components of beta

Correlation0.391with QQQ
Relative volatility8.17MXL รท QQQ
Beta3.19market sensitivity

Both the correlation and the size of the stockโ€™s moves contribute to its beta. Check whether each holds across different periods.

All three readings use the same 52 weeks. Displayed values are rounded. This is the weekly regression identity, not the paperโ€™s beta estimator.

Inspect the weekly returns โ†“

Volatility after removing the benchmark fit

Stock
149.76%
Residual
137.87%

7.94% less volatility ยท 11.90 percentage points

Removing the fitted QQQ exposure reduced measured fluctuations. The remaining variation is outside this single-benchmark fit.

Annualised, per unit of stock exposure. The same 52 weeks estimate and assess the fit. This is an in-sample illustration of a beta hedge, not a traded result; it excludes financing, dividends, fees and changes in beta.

Share of return variation

Variance shares add to 100%. Volatilities do not add.

15.25% captured by QQQ84.75% outside the fit

Outside the fit includes other factors, company events and noise. It does not identify their causes or prove diversification against an investorโ€™s actual holdings.

Further research

Position size
Volatility is 8.2ร— the benchmarkโ€™s. A low beta alone would be a poor reason to increase the position. Test the position against a total-risk budget.
Hedge selection
The historical fit is a starting point for hedge research, not a current hedge instruction. Compare the market, sector and industry, then test on later data using only estimates available at the time.
Basket comparison
Higher beta can help identify a comparison basket. It does not establish overvaluation or a reason to short; test the business case and borrowing costs.
Betting Against Beta ยท research context and method

Frazzini and Pedersen study a diversified long position in low-beta assets against a short position in high-beta assets, scaled to balance market exposure. Their explanation centres on investorsโ€™ borrowing constraints. Funding stress can hurt the strategy. The result does not establish an opportunity in this individual stock. Read the paper โ†—

MEXA uses 52 weekly price returns against QQQ. The paper uses different estimation windows, return inputs and beta shrinkage. This page is not a BAB replication. A basket test would need a common benchmark, a universe known at each historical date, total returns and funding, turnover and short-borrow costs.

The beta breakdown also follows the distinction between correlation and volatility discussed in Betting Against Correlation โ†—. These are research prompts, not buy, sell or leverage recommendations.

For an ordinary least-squares regression with an intercept, beta = correlation ร— stock volatility รท benchmark volatility. Residual volatility = stock volatility ร— โˆš(1 โˆ’ Rยฒ). We use population standard deviations multiplied by โˆš52, consistent with the other MEXA readings. No residual return or alpha is assumed to persist.

Relative strength

Performance

Compare the price history with the benchmark, then check whether relative performance is improving or weakening. Returns exclude dividends.

Price performance

Each series starts at 100 for the selected period. All available history in this published edition is shown first; sector and industry series use the same dates.

Move across the chart to inspect a completed week.

Relative-strength trend

Stock/benchmark ratio versus its 52-week average; zero is the baseline. 13-week change -63.42

Move across the chart to inspect a completed week.
Relative strengthZero baseline
Benchmark fit

Market sensitivity

The benchmark accounts for 15.25% of weekly return variation over the latest year. Read beta alongside its range and the stockโ€™s own volatility.

Approximate 95% beta interval1.11 to 5.28

An interval that includes zero does not establish a clear positive or negative sensitivity. Assumes the usual regression error conditions.

Beta stability31/100

How consistently rolling beta has held its level and direction.

Annualised alpha+190.0%

The weekly regression intercept annualised; it is historical, not expected return.

Tracking error143.6%

Annualised volatility of returns above or below the benchmark.

Relationship directionRelationship broadly stable

+1.0 point change in movement explained across two distinct 26-week windows.

Beta and benchmark fitBeta is useful with context
Weaker benchmark fitStronger benchmark fitLower sensitivityHigher sensitivity

The estimate carries information, but direction, stability or the likely range should be checked before relying on it.

Historical one-week sensitivity
+1% benchmark move+3.58%MXL slope contribution
โˆ’1% benchmark move-1.66%MXL slope contribution
Slope only; excludes the intercept and other influences. Approximate 95% beta interval 1.11 to 5.28 ยท width 4.17
Benchmark modelPartial benchmark fit
Beta intervalPositive sensitivity
Movement explained15.25%
Stability score31/100
Directional agreement67%

Weekly returns

Each dot is one completed week: QQQ on the horizontal axis, MXL on the vertical axis. The fitted line includes the intercept.

Completed weekFitted relationship
Influential weeks

The largest one-week effect on beta is at 2026-04-24. Beta is 3.19 with all 52 weeks and 2.55 when that week alone is omitted.

The five largest changes when each week is omitted individually. Every observation remains in the published reading. This checks sensitivity; it does not justify removing an inconvenient result.

Week endingBeta without weekChange in beta
2.554-0.637
3.5080.317
3.016-0.175
3.033-0.158
3.3360.145
Chart values
Week endingMXLQQQ
2026-10-0212.88%0.68%
2026-09-2515.68%3.30%
2026-09-188.78%0.92%
2026-09-1118.86%-0.57%
2026-09-041.64%0.35%
2026-08-28-7.33%0.42%
2026-08-21-21.49%-2.51%
2026-08-1413.15%1.11%
2026-08-0712.21%5.09%
2026-07-31-6.66%0.55%
2026-07-24-0.35%-1.60%
2026-07-17-21.31%-4.16%
2026-07-10-1.95%1.81%
2026-07-03-3.60%0.86%
2026-06-268.83%-4.50%
2026-06-195.09%2.67%
2026-06-124.37%2.31%
2026-06-05-12.92%-4.50%
2026-05-29-6.28%2.89%
2026-05-227.39%1.21%
2026-05-15-7.50%-0.32%
2026-05-0829.35%5.50%
2026-05-0127.95%1.55%
2026-04-24129.62%2.20%
2026-04-1726.97%6.18%
2026-04-1015.07%4.46%
2026-04-035.76%3.98%
2026-03-272.66%-3.23%
2026-03-20-1.95%-1.96%
2026-03-137.44%-1.01%
2026-03-06-9.81%-1.24%
2026-02-27-5.63%-0.25%
2026-02-20-5.43%1.14%
2026-02-134.33%-1.27%
2026-02-067.90%-1.97%
2026-01-30-5.76%-0.14%
2026-01-23-4.61%0.24%
2026-01-161.58%-0.86%
2026-01-092.65%2.21%
2026-01-024.40%-1.73%
2025-12-260.57%1.24%
2025-12-191.26%0.56%
2025-12-12-7.49%-1.90%
2025-12-0520.87%1.01%
2025-11-2814.49%4.95%
2025-11-21-2.16%-3.09%
2025-11-14-5.83%-0.14%
2025-11-07-2.57%-3.07%
2025-10-31-3.01%1.94%
2025-10-24-7.96%2.18%
2025-10-1718.42%2.45%
2025-10-10-12.89%-2.27%

Volatility over time

Annualised volatility is 149.8% for MXL and 18.3% for QQQ (8.2ร— as high).

MXLQQQ

Annualised volatility of the preceding 52 weekly returns. Both series use the same dates. Gaps indicate an incomplete window.

Rolling beta

26-week estimates show whether market sensitivity is rising or falling. The shaded band is an approximate 95% interval for beta; it is not a range for future stock returns.

Move across the chart to inspect a completed week.
Rolling betaMarket-like beta 1.00Approximate 95% interval

Rolling relationship strength

Correlation runs from โˆ’1 to +1. Rยฒ runs from 0 to 1 and measures the share of return variation captured by the fit.

Move across the chart to inspect a completed week.
Correlation (r)Benchmark fit (Rยฒ)

Comparison across periods

PeriodBetaCorrelationRยฒAlphaReturn gap (pp)Tracking error
6 months3.82+0.3890.1511+298.6%+461.0 pp191.4%
1 year3.19+0.3910.1525+190.0%+519.4 pp143.6%
2 years2.41+0.4120.1695+95.3%+634.3 pp109.4%
3 years2.25+0.4120.1695+39.0%+277.1 pp99.4%
5 years1.78+0.4280.1833+18.0%+4.3 pp82.4%
Relative performance

Performance against the group

Each line is the stockโ€™s 13-week return minus its comparison groupโ€™s return. Above zero means the stock led; below zero means it lagged.

13-week return gaps

Latest 13-week return gaps โ€” Benchmark: +8.6 pp ยท Technology: +17.7 pp ยท Semiconductors: +16.1 pp

Group comparison

Sector and industry

Compare the stock with its group over the same period. The return gap and the strength of the relationship answer different questions.

GroupCompanies13-week gap1-year gapBetaCorrelationRยฒ
Technology โ†—Sector700+17.7 pp+551.8 pp2.19+0.3320.1103
Semiconductors โ†—Industry69+16.1 pp+495.6 pp2.42+0.6190.3826

Positive gaps mean the stock outperformed the group; negative gaps mean it lagged. These group indexes can include the stock itself and are not independent portfolios.

Return components

Return comparison

The benchmark return plus each successive difference adds up to the stockโ€™s return. These are arithmetic comparisons, not independent sources of return or evidence of cause. pp means percentage points.

Last 13 weeks+8.6 points vs benchmark
Broad market+5.2 %
Sector difference-9.1 pp
Industry difference+1.5 pp
Ticker difference+16.1 pp

MXL returned 13.8%; QQQ returned 5.2%.

Last 52 weeks+519.4 points vs benchmark
Broad market+24.6 %
Sector difference-32.5 pp
Industry difference+56.2 pp
Ticker difference+495.6 pp

MXL returned 544.0%; QQQ returned 24.6%.

Directional participation

Downside behaviour

These percentages count what actually happened in completed weeks. They describe historical participation, not certainty about the next move.

Latest 52-week reading Directional participation is mixed

The stock sometimes follows the benchmark, but neither direction has been consistently dependable.

67% of directional weeks moved the same way.
When QQQ rose70%

MXL also rose in 70% of 30 rising benchmark weeks.

When QQQ fell64%

MXL also fell in 64% of 22 falling benchmark weeks.

Market state now Rising market with normal movement
+5.2% over 13 weeks16.4% volatility

78 earlier states matched the current direction and movement level. The figures show participation in the following week.

Joined rising weeks67%
Joined falling weeks60%
Overlapping observations; descriptive history. Deep sample ยท 64% same-direction rate ยท 2.72 beta

The stock fell in 64% of 22 falling benchmark weeks. Participation counts direction; beta measures sensitivity.

Returns in different markets

In 22 falling benchmark weeks, the median stock return was -2.37%. The lowest was -21.49%.

The line spans the lowest to highest stock return; the shaded band contains the middle half, and the dark mark is the median. These are observed weekly returns, not forecast ranges. Weakest falling weeks are the ten lowest benchmark returns from the year, including ties, limited to falling weeks. Samples overlap.

Chart values
Market conditionWeeksLowestLower quartileMedianUpper quartileHighest
Rising benchmark weeks30-7.96%-2.75%5.43%14.93%129.62%
Falling benchmark weeks22-21.49%-7.50%-2.37%3.91%18.86%
Weakest falling weeks10-21.49%-12.91%-2.37%1.50%8.83%

Returns by market condition

Upside beta3.58496% upside capture
Downside beta1.66146% downside capture
Current splitDownside participation+1.92 beta gap
ConditionWeeksMXL averageQQQ averageBetaBeat benchmark
Benchmark up30+10.91%+2.20%3.5867%
Benchmark down22-2.80%-1.92%1.6655%
Strongest benchmark weeks10+13.68%+4.15%5.1590%
Weakest benchmark weeks10-5.59%-3.13%1.1460%
Quieter benchmark weeks26+2.56%+0.17%2.3654%
Historical extremes

Historical comparisons

Distinct 13-week windows prevent one long move from filling the list with overlapping dates.

Largest unexplained moves

The six largest gaps between the stockโ€™s actual weekly return and the fitted benchmark relationship over the latest year.

Positive bars are above the fitted return; negative bars are below it. The fit uses all 52 weeks, including the week being measured. These are historical model residuals, not forecast errors or evidence of an eventโ€™s cause. Select a date below to locate it on the price chart.

Chart values and dates
Week endingStock returnBenchmark returnFitted returnDifference
129.62%2.20%10.69%118.93 pp
8.83%-4.50%-10.70%19.54 pp
27.95%1.55%8.59%19.36 pp
-6.28%2.89%12.89%-19.17 pp
-7.96%2.18%10.61%-18.57 pp
-21.49%-2.51%-4.36%-17.13 pp

Best relative periods

2026-04-03 to 2026-06-26+442.6 pts

MXL 468.2% ยท QQQ 25.6%

The return pattern shows that the industry added to the move, and the ticker moved beyond its peer backdrop.
2024-10-25 to 2025-01-17+64.3 pts

MXL 70.0% ยท QQQ 5.7%

The return pattern shows that the sector moved the same way, and the ticker moved beyond its peer backdrop.
2025-11-21 to 2026-02-13+41.5 pts

MXL 40.5% ยท QQQ -1.0%

The return pattern shows that the industry added to the move, and the ticker moved beyond its peer backdrop.

Worst relative periods

2023-02-03 to 2023-04-28-50.6 pts

MXL -41.6% ยท QQQ 9.0%

The return pattern shows that the sector moved the same way, and the ticker moved beyond its peer backdrop.
2025-01-31 to 2025-04-25-45.6 pts

MXL -56.2% ยท QQQ -10.6%

The return pattern shows that the sector moved the same way, and the industry added to the move, and the ticker moved beyond its peer backdrop.
2024-05-03 to 2024-07-26-45.5 pts

MXL -38.0% ยท QQQ 7.6%

The return pattern shows that the sector moved the same way, and the industry added to the move, and the ticker moved beyond its peer backdrop.
Pressure and timing

Drawdowns and timing

The strongest link is in the same week. Lead/lag evidence is treated as secondary because timing relationships can change quickly.

Declines from previous highs

Largest decline within the available history: MXL -87.7% ยท QQQ -35.1%

Move across the chart to inspect a completed week.
MXL drawdownQQQ drawdown
Ticker leads 2w
8%
Ticker leads 1w
0%
Same week
41%
Benchmark leads 1w
20%
Benchmark leads 2w
13%
Weekly readings

Monitoring points

These are conditions to monitor, not price targets or forecasts.

Relative strengthAbove the zero baseline

A move through zero changes whether the stock/benchmark ratio is above or below its 52-week average. Check whether that change persists.

Up/down beta+1.92 upside-minus-downside gap

Compare the two estimates with their sample sizes, benchmark fit and actual returns in falling weeks. A positive gap alone does not show protection.

Exposure trendBeta is rising

Check beta together with Rยฒ. A change in sensitivity does not establish a change in the share of risk linked to the market.

Peer confirmation+16.1 points versus Semiconductors over 13 weeks

Compare the stock with its sector and industry over the same period. Group strength and stock strength can move in different directions.

Method and limits

Data and method

Weekly prices, benchmark comparisons and the rules behind the report.

Performance labels

The header compares one-year and 13-week price returns. These are historical comparisons, not investment ratings.

Recent outperformance
The 13-week return gap is positive while the one-year gap remains negative.
Recent underperformance
The 13-week return gap is negative while the one-year gap remains positive.
High volatility
Annualised volatility is at least 20% above the benchmarkโ€™s.

Benchmark grades

Grades describe the fitted relationship. The highest qualifying grade is used.

Scroll across for all columns โ†’

Minimum values for each benchmark grade
GradeRยฒAbsolute
correlation
Absolute beta
t-statistic
Stability
out of 100
Strong0.500.702.555
Clear0.300.552.0โ€”
Partial0.150.38โ€”โ€”
LimitedOther usable readings that do not meet the grades above.

A dash means no additional minimum. The absolute t-statistic measures the size of beta relative to its standard error; stability measures consistency in rolling beta. Published grades use whole-percentage screening values. These are MEXA conventions, not universal statistical cut-offs.

Data and calculations

Price history
Completed weekly observations from 2020-10-16 to 2026-10-02 ยท 312 aligned weeks.
Current reading
52 weeks; rolling charts use 26 weeks.
Relative strength
Stock/benchmark ratio compared with its trailing 52-week average.
Peer evidence
At least 10 sector constituents and 5 industry constituents. Thin groups are excluded.
Benchmark fit
Rยฒ is the square of the return correlation in this single-benchmark regression. 0.25 means 25% of return variation. Correlation (r) runs from โˆ’1 to +1. Regression definition โ†—
Precision
Decimal coefficients use the underlying observations. The โ‰ˆ sign marks a rounded reading; a bound such as <0.005 means more precision is unavailable.

Statistical limits

Returns and alpha
Price returns exclude dividends. Return gaps are percentage-point differences. Alpha annualises the regression intercept; it is not the stockโ€™s realised outperformance or a forecast.
Chart evidence
New return charts require a complete year of aligned, positive weekly closes that reproduces the published reading. Missing weeks are not interpolated. Rolling beta uses 26 weeks; volatility uses 52.
Beta interval
The approximate interval uses the reportโ€™s ordinary least-squares estimate, with ยฑ1.96 standard errors, assuming independent errors with constant variance. It is not a limit on future returns.
Influential weeks
Each week is omitted individually and compared with the full estimate. No observations are removed from the published assessment.
Historical samples
Market-state windows can overlap and use volatility bands from the available sample. These comparisons are descriptive, not independent trials or a trading backtest. A negative downside beta does not establish protection in a future market decline.
Interpretation
Historical relationship analysis, not a forecast or a statement of cause. Historical relationships can break without warning.

MEXA is historical market research for information and education. It is not a recommendation to buy or sell, personalised investment advice, or a prediction of future returns. Check company information, valuation, liquidity and your own circumstances alongside this report.

Evidence context