Davis Select Financial ETF

10-Year Study

DFNL.US · · US · ETF

Executive Summary: Davis Select Financial ETF has compounded at 12.2% annually over the last 10 years, with a maximum drawdown of 34.4% and an annualized volatility of 20.9%.

1Y CAGR
+20.7%
3Y CAGR
+26.7%
5Y CAGR
+11.7%
10Y CAGR
+12.2%

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 →
34.4%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.50
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.66
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
20.0%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2021 · +31.3%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · -11.6%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
56%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-0.7-2.1-4.66.4-1.3%
20255.91.4-3.9-1.85.65.50.15.3-0.1-1.23.56.028.6%
20241.22.56.1-3.04.5-1.77.63.20.32.19.5-5.928.6%
20239.7-1.8-10.92.3-4.77.17.6-5.4-3.0-2.69.68.514.4%
20223.1-0.9-1.1-9.03.4-10.75.3-2.8-7.911.66.7-4.0-8.4%
2021-1.212.16.37.03.5-3.5-0.63.2-1.25.5-6.54.431.3%
2020-3.1-10.4-24.59.22.3-0.83.05.4-5.31.318.16.2-5.0%
20197.62.0-1.97.8-7.05.31.5-5.05.82.24.13.327.4%
20186.0-2.7-3.00.2-0.9-0.54.50.8-0.9-6.72.3-10.2-11.6%
20175.0-1.80.40.13.53.3-1.93.33.11.82.120.2%

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 20.9%. The dominant macroeconomic risk driver is VTI.US, accounting for 87.8% of variance. Idiosyncratic stock-specific factors contribute 6.8%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2017-01-0110000
2017-02-0110496.489954006294
2017-03-0110307.855240861776
2017-04-0110352.51755022997
2017-05-0110362.442507867345
2017-06-0110729.90801258775
2017-07-0111082.42556281772
2017-08-0110868.917937545388
2017-09-0111226.397966594044
2017-10-0111568.990559186635
2017-11-0111780.501089324618
2017-12-0112022.57322682159
2018-01-0112740.377632534493
2018-02-0112399.055918663762
2018-03-0112027.535705640283
2018-04-0112052.711207939965
2018-05-0111940.752844347613
2018-06-0111882.231905107721
2018-07-0112413.640764947953
2018-08-0112514.524328249816
2018-09-0112404.078915516822
2018-10-0111570.806100217864
2018-11-0111841.866376180102
2018-12-0110628.782377148389
2019-01-0111437.605906560153
2019-02-0111661.643669813604
2019-03-0111442.81045751634
2019-04-0112339.808763011377
2019-05-0111473.916727184698
2019-06-0112080.549503752118
2019-07-0112261.9825708061
2019-08-0111651.234567901234
2019-09-0112321.653352699102
2019-10-0112588.658920358266
2019-11-0113103.243766642461
2019-12-0113537.52118131203
2020-01-0113116.497216170417
2020-02-0111755.930767368674
2020-03-018878.0561607359
2020-04-019699.164851125635
2020-05-019920.660856935367
2020-06-019842.653110626965
2020-07-0110137.618010167029
2020-08-0110687.666424594529
2020-09-0110124.24352457032
2020-10-0110251.8760590656
2020-11-0112109.65867828613
2020-12-0112864.258048898571
2021-01-0112705.156136528685
2021-02-0114236.686032437665
2021-03-0115131.868796901477
2021-04-0116188.81626724764
2021-05-0116761.43790849673
2021-06-0116177.499394819655
2021-07-0116086.359235052043
2021-08-0116598.70491406439
2021-09-0116399.116436698136
2021-10-0117294.904381505687
2021-11-0116167.27184701041
2021-12-0116884.47107237957
2022-01-0117408.920358266765
2022-02-0117259.743403534252
2022-03-0117066.388283708544
2022-04-0115524.93343016219
2022-05-0116049.806342290003
2022-06-0114331.57831033648
2022-07-0115093.984507383198
2022-08-0114677.43887678528
2022-09-0113518.639554587266
2022-10-0115092.108448317596
2022-11-0116105.059307673686
2022-12-0115458.182038247396
2023-01-0116959.755507141126
2023-02-0116647.60348583878
2023-03-0114828.552408617768
2023-04-0115168.421689663519
2023-05-0114458.000484144273
2023-06-0115485.959816025173
2023-07-0116659.041394335512
2023-08-0115762.40619704672
2023-09-0115284.192689421447
2023-10-0114879.327039457758
2023-11-0116305.07141128056
2023-12-0117691.418542725733
2024-01-0117905.04720406681
2024-02-0118359.235052045507
2024-03-0119475.248123940935
2024-04-0118899.782135076253
2024-05-0119741.648511256353
2024-06-0119411.03848946986
2024-07-0120889.49406923263
2024-08-0121559.48922778988
2024-09-0121619.583635923507
2024-10-0122072.80319535221
2024-11-0124163.64076494795
2024-12-0122744.855967078187
2025-01-0124076.434277414668
2025-02-0124404.078915516824
2025-03-0123455.39820866618
2025-04-0123022.996853062214
2025-05-0124305.37400145243
2025-06-0125640.946502057617
2025-07-0125661.8857419511
2025-08-0127034.495279593317
2025-09-0127002.420721374965
2025-10-0126677.559912854027
2025-11-0127599.55216654563
2025-12-0129248.366013071893
2026-01-0129042.60469619947
2026-02-0128443.476155894456
2026-03-0127136.286613410797
2026-04-0128873.154199951583
Annual Return Matrix
YearAnnual Return
2018-0.1159311591102431
20190.273666230142914
2020-0.04973311756238419
20210.31251029077617143
2022-0.08447342105168831
20230.14446954363409303
20240.28564342718748814
20250.2859332261944041
2026-0.0128284709290295
Total Factor Risk
0.2090443535138481
VTI.US Exposure
0.8777685170804811
VEA.US Exposure
0.06260377360325048
VWO.US Exposure
0.017817987552456022
QQQ.US Exposure
-0.14719589430806415
VTV.US Exposure
0.17700658426846336
IJR.US Exposure
0.07984608238111059
QUAL.US Exposure
-0.19874587444890823
SHV.US Exposure
0.10091138872985281
TLT.US Exposure
0.006568455321707268
LQD.US Exposure
-0.015773316006813053
HYG.US Exposure
0.008849143094865376
GLD.US Exposure
-0.010144689090566844
USO.US Exposure
0.000629221198361517
VNQ.US Exposure
-0.05972893331452079
BTC-USD.CC Exposure
-0.0007003473533088203
CPER.US Exposure
0.022508805652100315
VIX.INDX Exposure
-0.004086850505838854
UUP.US Exposure
0.016934545229327327
TIP.US Exposure
-0.002627354100715435
Idiosyncratic Exposure
0.06755875501676
Value Score
45.3
Growth Score
50
Profit Score
37.5
Health Score
23.6
Yield Score
16.8
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
20.9%

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 →11.7x
Dividend YieldDividend YieldAnnual dividend paid per share divided by the current share price — expressed as a percentage income return.Click for full definition →1.40%
Market Cap$69.6B
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 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 →
+2.7%
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 →
+5.0%
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 →
4.1% 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 →
1.02
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Davis Select Financial ETF a high-risk investment?

Davis Select Financial ETF (DFNL.US) has an annualized volatility of 20.9% and experienced a maximum drawdown of 34.4% over the last 10 years. Its primary macro risk driver is VTI.US.

What is the 10-year return of DFNL.US?

Over the past 10 years, DFNL.US has generated a Compound Annual Growth Rate (CAGR) of 12.2%. It has had a positive return in 56% 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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