Haffner Energy SA

10-Year Study

ALHAF.PA · Utilities · FR · Common Stock

Executive Summary: Haffner Energy SA has compounded at -69.7% annually over the last 10 years, with a maximum drawdown of 99.6% and an annualized volatility of 531.4%.

1Y CAGR
-88.3%
3Y CAGR
-71.4%
5Y CAGR
-69.7%
10Y CAGR
-69.7%

History & Riski10-year historical performance analysis including CAGR, Max Drawdown, Sharpe & Sortino ratios, annual returns, and rolling volatility — all computed from daily market data.

10-Year Growth of $10,000

Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
99.6%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.59
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-0.91
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
91.3%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · +27.9%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · -93.9%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
25%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-31.547.711.6-16.4————————-5.7%
202514.94.0-52.8-39.220.12.0-20.7-14.72.0-1.2-74.3-17.2-93.9%
2024-32.72.8-1.9-7.661.8-21.642.98.044.9-9.9-20.60.627.9%
202358.3-25.6-11.8-2.44.63.1-0.1-12.8-23.7-17.6-26.1-16.0-62.8%
2022——10.61.9-2.1-8.9-8.31.1-15.22.1-33.4-52.6-74.5%

Risk X-RayiA 19-factor macroeconomic risk decomposition showing exactly which market forces (equity beta, rates, inflation, credit, commodity, crypto) drive this asset's volatility. Powered by multivariate regression against daily factor returns.

Risk Profile Insight: This asset has an estimated annualized volatility of 531.4%. The dominant macroeconomic risk driver is VTI.US, accounting for 36.6% of variance. Idiosyncratic stock-specific factors contribute 41.7%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2022-02-0110000
2022-03-0111057.023290676416
2022-04-0111265.647172471734
2022-05-0111029.20690574269
2022-06-0110052.851330332553
2022-07-019221.140558660818
2022-08-019318.497574331384
2022-09-017899.860616321639
2022-10-018066.7595891189085
2022-11-015368.567266170567
2022-12-012545.479752890916
2023-01-014028.5119437759254
2023-02-012996.522935303411
2023-03-012643.1154762306624
2023-04-012578.5813040176413
2023-05-012698.191991350877
2023-06-012781.641146152047
2023-07-012778.859540818421
2023-08-012422.809415749805
2023-09-011849.7914218786548
2023-10-011524.339287077388
2023-11-011126.5646675075536
2023-12-01945.7579996396198
2024-01-01636.3004271041667
2024-02-01654.3810690211502
2024-03-01641.8636792211015
2024-04-01593.1849641374025
2024-05-01959.6661921064815
2024-06-01752.4339419716373
2024-07-011075.1043056405458
2024-08-011161.3351486747076
2024-09-011682.8929464775827
2024-10-011515.9944710765105
2024-11-011203.0598089746588
2024-12-011210.0139052080897
2025-01-011390.8205730760235
2025-02-011446.45334294347
2025-03-01682.1974954045564
2025-04-01414.4645417193713
2025-05-01497.9137794199074
2025-06-01507.64952243664715
2025-07-01402.64255325272904
2025-08-01343.5326730940425
2025-09-01350.4867900523148
2025-10-01346.3143198773514
2025-11-0189.0125166768655
2025-12-0173.71349037302925
2026-01-0150.48678680265965
2026-02-0174.54798271687486
2026-03-0183.17107026994621
2026-04-0169.54102865380118
Annual Return Matrix
YearAnnual Return
2023-0.6284558937993843
20240.2794117582607436
2025-0.939080460104008
2026-0.05660377358490554
Total Factor Risk
5.313990242721782
VTI.US Exposure
0.3661455142295557
VEA.US Exposure
0.0024337239208180586
VWO.US Exposure
0.005587682154786415
QQQ.US Exposure
0.04309448415196503
VTV.US Exposure
0.05148004282040085
IJR.US Exposure
0.0062077554553005175
QUAL.US Exposure
0.0017584787850832635
SHV.US Exposure
0.030912353396206023
TLT.US Exposure
0.0037620875705036668
LQD.US Exposure
-0.00008361080141573288
HYG.US Exposure
0.0029412322529738565
GLD.US Exposure
0.008541903278725383
USO.US Exposure
0.0005634028733829497
VNQ.US Exposure
0.009637077317493015
BTC-USD.CC Exposure
0.006658265441168504
CPER.US Exposure
0.005780719285419678
VIX.INDX Exposure
0.007994082152467864
UUP.US Exposure
0.029791616328775944
TIP.US Exposure
-0.000047466950571856745
Idiosyncratic Exposure
0.4168406563369608
Value Score
50
Growth Score
50
Profit Score
37.5
Health Score
23.6
Yield Score
0
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
531.4%

FundamentalsiCompany financial health metrics: P/E valuation, dividend yield, Piotroski F-Score (9-point profitability signal), Altman Z-Score (bankruptcy risk proxy), and a radar chart across 6 fundamental dimensions. Note: ETFs may show N/A for some metrics.

Fundamental Dimensions

Core Valuation

P/E Ratio (TTM)P/E RatioPrice-to-Earnings ratio — the market price of a stock divided by its earnings per share, a key valuation measure.Click for full definition →N/A
Dividend YieldDividend YieldAnnual dividend paid per share divided by the current share price — expressed as a percentage income return.Click for full definition →0.00%
Market Cap$7.3M
Piotroski F-ScorePiotroski F-ScoreA 9-point scoring system evaluating a company's financial strength across profitability, leverage, and operating efficiency.Click for full definition →
9-point profitability signal
0.0/ 9
Weak
Altman Z-ScoreAltman Z-ScoreA bankruptcy prediction model that combines 5 financial ratios into a single score indicating financial distress risk.Click for full definition →
Bankruptcy risk proxy
1.18
Distress Zone
Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$0
Avg Yield on Cost
0.00%

Momentum & MacroiPrice momentum indicators relative to key technical levels: distance from 50-Day SMA (intermediate trend), 200-Day SMA (long-term trend), 52-Week High (bullish proximity), and Beta (market sensitivity coefficient).

vs 50-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
-2.5%
Above/below 50-day moving average
vs 200-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
-81.9%
Above/below 200-day moving average
vs 52-Week High52-Week HighThe highest price an asset reached in the past 52 weeks — a key reference for momentum and valuation context.Click for full definition →
99.8% from high
Distance from 52-week high
BetaBetaA measure of an asset's sensitivity to broad market movements relative to a benchmark (e.g. S&P 500).Click for full definition →
0.69
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Haffner Energy SA a high-risk investment?

Haffner Energy SA (ALHAF.PA) has an annualized volatility of 531.4% and experienced a maximum drawdown of 99.6% over the last 10 years. Its primary macro risk driver is VTI.US.

What is the 10-year return of ALHAF.PA?

Over the past 10 years, ALHAF.PA has generated a Compound Annual Growth Rate (CAGR) of -69.7%. It has had a positive return in 25% of the years measured.

Data Methodology & Trust

The risk and return information on this page is pre-calculated mathematically using daily market data spanning a 10-year period. Fundamentals (such as P/E Ratio, Market Cap, and Dividend Yield) represent trailing averages and may not immediately reflect real-time live market fluctuations. Advanced scoring models like the Piotroski F-Score and Altman Z-Score are proxies applied to publicly available trailing-twelve-month financial statements and may not account for recent off-balance-sheet events, qualitative company shifts, or sector-specific capital structures. Macroeconomic factor exposures are estimated via multivariate regression against standard market indices. This data is provided for quantitative insight and backtesting research, and should not be misconstrued as tailored financial advice.

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