Nordic Semiconductor ASA

10-Year Study

0FF9.LSE · · GB · Common Stock

Executive Summary: Nordic Semiconductor ASA has compounded at 17.7% annually over the last 10 years, with a maximum drawdown of 72.8% and an annualized volatility of 80.1%.

1Y CAGR
+38.8%
3Y CAGR
+9.1%
5Y CAGR
-8.0%
10Y CAGR
+17.7%

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 →
72.8%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.52
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.05
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
47.3%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · +146.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -43.7%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
60%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-2.311.26.623.76.7-5.4——————44.5%
202514.318.6-7.4-18.322.47.55.018.5-8.6-4.4-8.6-1.232.2%
2024-12.9-15.6-8.645.910.15.3-4.06.0-25.42.1-9.51.0-19.4%
2023-4.6-5.86.9-28.41.212.614.1-13.3-12.9-20.69.627.3-25.2%
2022-12.0-10.5-1.9-15.8-5.1-15.48.8-8.4-6.12.120.9-6.7-43.7%
2021-5.425.3-8.837.114.2-5.630.5-0.5-7.8-5.523.0-3.9113.8%
20204.4-15.9-7.031.85.315.323.7-0.36.63.529.17.5146.8%
20190.524.9-1.213.1-12.0-1.125.1-6.824.42.41.05.392.7%
20189.8-0.32.19.56.1-4.1-4.84.0-7.7-24.55.3-23.0-30.3%
2017-0.2-8.2-1.59.43.9-7.717.43.99.9-7.6-4.46.719.7%
2016—————-18.011.32.70.6-14.93.11.3-16.2%

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 80.1%. The dominant macroeconomic risk driver is SHV.US, accounting for 31.8% of variance. Idiosyncratic stock-specific factors contribute 15.9%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2016-05-0110000
2016-06-018195.932121795642
2016-07-019121.43458899988
2016-08-019363.340955590324
2016-09-019422.31315441088
2016-10-018015.404982549043
2016-11-018266.939463232638
2016-12-018376.459261042242
2017-01-018363.220604164158
2017-02-017677.217475027078
2017-03-017559.273077385968
2017-04-018266.939463232638
2017-05-018593.091828138164
2017-06-017931.158984233964
2017-07-019313.99687086292
2017-08-019677.458177879407
2017-09-0110640.269587194609
2017-10-019832.711517631484
2017-11-019398.242869177999
2017-12-0110025.273799494524
2018-01-0111006.137922734384
2018-02-0110970.032494885065
2018-03-0111198.700204597422
2018-04-0112263.810326152365
2018-05-0113009.989168371643
2018-06-0112480.442893248284
2018-07-0111884.703333734504
2018-08-0112360.091467083885
2018-09-0111403.297629076906
2018-10-018611.144542062822
2018-11-019068.479961487543
2018-12-016986.400288843422
2019-01-017022.505716692743
2019-02-018773.618967384764
2019-03-018665.302683836802
2019-04-019803.827175352028
2019-05-018629.197255987483
2019-06-018530.509086532675
2019-07-0110672.764472258998
2019-08-019943.434829702732
2019-09-0112366.109038392104
2019-10-0112660.970032494884
2019-11-0112787.339029967503
2019-12-0113461.307016488145
2020-01-0114057.046576001923
2020-02-0111826.934649175591
2020-03-0111004.93440847274
2020-04-0114502.346852810206
2020-05-0115266.578408954145
2020-06-0117601.396076543508
2020-07-0121771.57299313997
2020-08-0121699.36213744133
2020-09-0123131.544108797687
2020-10-0123937.89866409917
2020-11-0130906.246239017935
2020-12-0133229.02876399086
2021-01-0131447.82765675773
2021-02-0139391.021783608136
2021-03-0135936.93585268986
2021-04-0149271.87387170537
2021-05-0156276.32687447347
2021-06-0153123.11950896618
2021-07-0169322.42147069442
2021-08-0169009.50776266698
2021-09-0163593.69358526898
2021-10-0160079.4319412685
2021-11-0173895.77566494163
2021-12-0171031.4117222289
2022-01-0162534.60103502227
2022-02-0155987.4834516789
2022-03-0154904.3206161993
2022-04-0146226.98278974606
2022-05-0143868.09483692382
2022-06-0137104.34468648454
2022-07-0140383.921049464436
2022-08-0136977.97568901192
2022-09-0134721.38644842942
2022-10-0135449.51257672404
2022-11-0142857.142857142855
2022-12-0140004.81405704657
2023-01-0138175.47237934769
2023-02-0135942.95342399807
2023-03-0138434.22794560116
2023-04-0127500.30087856541
2023-05-0127831.26730051751
2023-06-0131339.51137320977
2023-07-0135756.408713443256
2023-08-0131014.56252256589
2023-09-0127006.86003129137
2023-10-0121451.438199542663
2023-11-0123520.2792153087
2023-12-0129943.43482970273
2024-01-0126068.11890720905
2024-02-0122005.054759898903
2024-03-0120103.502226501383
2024-04-0129323.62498495607
2024-05-0132290.287639908533
2024-06-0134017.33060536767
2024-07-0132657.359489709954
2024-08-0134607.05259357324
2024-09-0125833.43362618847
2024-10-0126387.05018654471
2024-11-0123882.537008063544
2024-12-0124120.832831869055
2025-01-0127560.47659164761
2025-02-0132681.429774942833
2025-03-0130250.330966421952
2025-04-0124708.14779155133
2025-05-0130232.27825249729
2025-06-0132490.624623901793
2025-07-0134107.59417499097
2025-08-0140401.97376338909
2025-09-0136940.95559032375
2025-10-0135323.14357925142
2025-11-0132290.287639908533
2025-12-0131893.12793356601
2026-01-0131146.949091346734
2026-02-0134625.10530749789
2026-03-0136923.81754723794
2026-04-0145661.331086773374
2026-05-0148718.25731134914
2026-06-0146082.56107834878
Annual Return Matrix
YearAnnual Return
20170.19683908045977017
2018-0.3031212484993998
20190.9267872523686478
20201.4684845775592312
20211.137631293009779
2022-0.436801084378177
2023-0.2515042117930204
2024-0.19445337620578784
20250.32222333100488987
20260.44490566037735846
Total Factor Risk
0.8006272108478409
VTI.US Exposure
0.07817703954295427
VEA.US Exposure
0.016244928135196623
VWO.US Exposure
0.003342854515004467
QQQ.US Exposure
0.13373825743360296
VTV.US Exposure
-0.005673340900004687
IJR.US Exposure
0.07464922002228275
QUAL.US Exposure
0.12330118286624121
SHV.US Exposure
0.31833967213921466
TLT.US Exposure
0.00880752565927699
LQD.US Exposure
-0.0016355205963954832
HYG.US Exposure
0.06136069837708867
GLD.US Exposure
-0.0022871011745366687
USO.US Exposure
-0.00000252856261263098
VNQ.US Exposure
-0.008973563457626257
BTC-USD.CC Exposure
0.0029015312547183104
CPER.US Exposure
0.02671938759324036
VIX.INDX Exposure
0.001281788536205202
UUP.US Exposure
-0.0032795082095110474
TIP.US Exposure
0.013915660673598307
Idiosyncratic Exposure
0.15907181615206173
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
80.1%

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
Forward P/EForward P/E RatioA valuation metric that compares the current stock price to estimated future earnings per share.Click for full definition →No estimate availableN/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%
Squeeze RiskShort Squeeze RiskA situation where a sharp rise in the price of a stock forces short sellers to buy shares to cover their positions, further driving up the price.Click for full definition →Low
Market Cap$46.6B
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: distance from 50/200-Day SMA, 52-Week High proximity, Golden Cross trend signal, RSI momentum gauge, Fibonacci retracement levels, and Beta (market sensitivity).

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 →
+4.0%
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 →
+23.5%
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 →
8.1% 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 →
1.13
Market sensitivity coefficient
Trend SignalGolden Cross & Death CrossTechnical chart patterns that occur when a short-term moving average crosses over a long-term moving average.Click for full definition →
✦ Golden Cross
Bullish — 50 SMA above 200 SMA
RSI (14-Day)Relative Strength Index (RSI)A momentum oscillator that measures the speed and change of price movements to identify overbought or oversold conditions.Click for full definition →
41
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+8.0%
50.0% retracement+14.2%
61.8% retracement+21.2%
% distance of current price from each 52-week Fibonacci support level.

Compare this AssetiRun a head-to-head backtest and risk analysis against similar assets.

0FF9.LSEvs0A7R.LSE

Compare Nordic Semiconductor ASA vs Palantir Technologies Inc.

0FF9.LSEvs0R2T.LSE

Compare Nordic Semiconductor ASA vs Micron Technology Inc

0FF9.LSEvs0R0X.LSE

Compare Nordic Semiconductor ASA vs Tesla, Inc.

Frequently Asked Questions & Methodology

Is Nordic Semiconductor ASA a high-risk investment?

Nordic Semiconductor ASA (0FF9.LSE) has an annualized volatility of 80.1% and experienced a maximum drawdown of 72.8% over the last 10 years. Its primary macro risk driver is SHV.US.

What is the 10-year return of 0FF9.LSE?

Over the past 10 years, 0FF9.LSE has generated a Compound Annual Growth Rate (CAGR) of 17.7%. It has had a positive return in 60% 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.

Run a Full Backtest on Nordic Semiconductor ASA

stresstest.pro lets you simulate DCA vs Lump Sum, Monte Carlo projections, portfolio optimisation, and more — all in seconds.

Start a Free Backtest