iShares MSCI BIC ETF (BKF.US)

10-Year Study

BKF.US · US · ETF

Fundamental Snapshot

iShares MSCI BIC ETF (BKF.US) charges an annual expense ratio of low annual fee, manages approximately institutional assets in net assets, and maintains a portfolio of diversified basket of holdings.

Executive Summary: iShares MSCI BIC ETF has compounded at 3.8% annually over the last 10 years, with a maximum drawdown of 44.3% and an annualized volatility of 20.8%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-6.6%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+7.2%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-2.4%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+3.8%

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

View full price history data
DateValue
2016-06-01$10,000
2016-07-01$10,481
2016-08-01$10,906
2016-09-01$11,203
2016-10-01$11,162
2016-11-01$10,798
2016-12-01$10,554
2017-01-01$11,325
2017-02-01$11,722
2017-03-01$12,024
2017-04-01$12,199
2017-05-01$12,364
2017-06-01$12,449
2017-07-01$13,486
2017-08-01$14,081
2017-09-01$14,258
2017-10-01$14,633
2017-11-01$14,693
2017-12-01$14,965
2018-01-01$16,829
2018-02-01$15,661
2018-03-01$15,547
2018-04-01$15,133
2018-05-01$14,968
2018-06-01$14,230
2018-07-01$14,521
2018-08-01$13,828
2018-09-01$13,645
2018-10-01$12,783
2018-11-01$13,611
2018-12-01$12,900
2019-01-01$14,395
2019-02-01$14,433
2019-03-01$14,825
2019-04-01$14,997
2019-05-01$13,842
2019-06-01$14,681
2019-07-01$14,425
2019-08-01$13,847
2019-09-01$13,993
2019-10-01$14,650
2019-11-01$14,674
2019-12-01$15,856
2020-01-01$15,033
2020-02-01$14,762
2020-03-01$12,469
2020-04-01$13,295
2020-05-01$13,656
2020-06-01$14,612
2020-07-01$15,978
2020-08-01$16,645
2020-09-01$16,326
2020-10-01$16,719
2020-11-01$17,703
2020-12-01$18,477
2021-01-01$19,321
2021-02-01$19,319
2021-03-01$18,651
2021-04-01$18,769
2021-05-01$19,183
2021-06-01$19,410
2021-07-01$17,500
2021-08-01$17,738
2021-09-01$17,109
2021-10-01$17,280
2021-11-01$16,499
2021-12-01$16,284
2022-01-01$16,306
2022-02-01$15,101
2022-03-01$13,934
2022-04-01$13,236
2022-05-01$13,338
2022-06-01$13,556
2022-07-01$12,987
2022-08-01$13,105
2022-09-01$11,715
2022-10-01$10,813
2022-11-01$12,797
2022-12-01$12,737
2023-01-01$13,785
2023-02-01$12,514
2023-03-01$12,880
2023-04-01$12,683
2023-05-01$12,112
2023-06-01$12,781
2023-07-01$13,887
2023-08-01$12,855
2023-09-01$12,560
2023-10-01$12,147
2023-11-01$12,758
2023-12-01$12,899
2024-01-01$12,169
2024-02-01$12,726
2024-03-01$12,876
2024-04-01$13,247
2024-05-01$13,555
2024-06-01$13,596
2024-07-01$13,649
2024-08-01$13,824
2024-09-01$15,329
2024-10-01$14,707
2024-11-01$14,290
2024-12-01$14,090
2025-01-01$14,335
2025-02-01$14,844
2025-03-01$15,452
2025-04-01$15,199
2025-05-01$15,486
2025-06-01$16,127
2025-07-01$16,078
2025-08-01$16,781
2025-09-01$17,595
2025-10-01$17,474
2025-11-01$17,428
2025-12-01$17,232
2026-01-01$17,653
2026-02-01$17,169
2026-03-01$15,997
2026-04-01$16,669
2026-05-01$15,910
2026-06-01$15,234
2026-07-01$15,766
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
44.3%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.10
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.16
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
17.7%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2017 · +41.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -21.8%
% 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

View full annual returns data
YearReturn
201741.8%
2018-13.8%
201922.9%
202016.5%
2021-11.9%
2022-21.8%
20231.3%
20249.2%
202522.3%
2026-8.5%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20262.4-2.7-6.84.2-4.6-4.33.5-8.5%
20251.73.64.1-1.61.94.1-0.34.44.9-0.7-0.3-1.122.3%
2024-5.74.61.22.92.30.30.41.310.9-4.1-2.8-1.49.2%
20238.2-9.22.9-1.5-4.55.58.7-7.4-2.3-3.35.01.11.3%
20220.1-7.4-7.7-5.00.81.6-4.20.9-10.6-7.718.3-0.5-21.8%
20214.6-0.0-3.50.62.21.2-9.81.4-3.51.0-4.5-1.3-11.9%
2020-5.2-1.8-15.56.62.77.09.44.2-1.92.45.94.416.5%
201911.60.32.71.2-7.76.1-1.7-4.01.04.70.28.122.9%
201812.5-6.9-0.7-2.7-1.1-4.92.0-4.8-1.3-6.36.5-5.2-13.8%
20177.33.52.61.51.40.78.34.41.32.60.41.941.8%
20164.84.12.7-0.4-3.3-2.35.5%

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.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
20.8%
View full factor risk breakdown
FactorRisk Exposure
VTI.US4.8%
VEA.US-6.3%
VWO.US73.2%
QQQ.US-9.0%
VTV.US-4.4%
IJR.US-2.6%
QUAL.US7.4%
SHV.US25.6%
TLT.US-1.9%
LQD.US8.4%
HYG.US-1.1%
GLD.US-0.3%
USO.US-0.0%
VNQ.US0.7%
BTC-USD.CC0.3%
CPER.US-0.9%
VIX.INDX2.5%
UUP.US-0.7%
TIP.US-0.6%
Idiosyncratic4.7%

iShares MSCI BIC ETF ETF Profile & Portfolio Fundamentals

Detailed fund structure, fee metrics, portfolio-level valuation, and asset distribution statistics.

Fund Structure & Fees

Distribution Yield
1.6%

Portfolio Valuation Multiples

Portfolio P/E Ratio13.14x
Portfolio Forward P/E13.14x
Portfolio Price-to-Sales
Portfolio Price-to-Book

Market Sentiment & Squeeze Risk

Short Squeeze RiskLow

Dividend & Income Analysisi10-Year historical income simulation on a $10,000 initial investment, cumulative dividend income generated, average yield on cost, and annual payout table.

Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$60
Avg Yield on Cost
0.60%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$59.790.60%Weak

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 →
+0.1%
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 →
-6.2%
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 →
12.4% 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 →
0.60
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 →
✦ Death Cross
Bearish — 50 SMA below 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 →
66
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-6.8%
50.0% retracement-4.9%
61.8% retracement-2.9%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

BKF.US — 10-Year Return & Risk Profile

iShares MSCI BIC ETF (BKF.US) has delivered modest annualized growth of 3.8% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $14,503, representing a total return of 45%. Over this period, BKF.US generated positive annual returns in 6 out of 10 calendar years (60%).

The best single calendar year for BKF.US was 2017, with a return of +41.8%. The worst year was 2022, when the asset declined 21.8%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of 0.10 is considered poor on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

BKF.US — Drawdown, Volatility & Downside Risk

BKF.US's annualized volatility of 17.7% is classified as moderate relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in BKF.US have historically experienced larger day-to-day price swings than the broader market, which requires a higher tolerance for short-term portfolio fluctuations.

The asset's maximum peak-to-trough decline over the study period was 44.3% — a severe bear-market collapse. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 44% drawdown, for example, requires a 80% gain just to break even.

When evaluating BKF.US for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

BKF.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 73.2% of BKF.US's return variance to Emerging Market Equities. This means that when Emerging Market Equities rises or falls sharply, BKF.US tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their BKF.US allocation.

The second-largest macro driver is Short-Term Interest Rates, contributing 25.6% of variance. 4.7% of BKF.US's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding BKF.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding BKF.US alongside assets with low correlation to Emerging Market Equities — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.

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

Frequently Asked Questions & Methodology

Is iShares MSCI BIC ETF a high-risk investment?

iShares MSCI BIC ETF (BKF.US) has an annualized volatility of 20.8% and experienced a maximum drawdown of 44.3% over the last 10 years. Its primary macro risk driver is VWO.US.

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

Over the past 10 years, BKF.US has generated a Compound Annual Growth Rate (CAGR) of 3.8%. A $10,000 investment would have grown to approximately $14,503. It has had a positive return in 60% of calendar years.

What is BKF.US's Sharpe ratio?

BKF.US has a Sharpe ratio of 0.10 and a Sortino ratio of 0.16 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading below 1.0 suggests investors were not fully compensated on a risk-adjusted basis.

What is BKF.US's dividend yield?

BKF.US has an average trailing dividend yield of 1.63%. On a $10,000 initial investment, it generated approximately $60 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is BKF.US above its 200-day moving average?

BKF.US is currently below its 200-day moving average by 6.2%. The current trend signal is: Bearish — 50 SMA below 200 SMA. The 200-day SMA is a widely used long-term trend filter — assets trading above it tend to exhibit positive price momentum.

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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