Carlyle Credit Income Fund (CCIF.US)

10-Year Study

CCIF.US · US · ETF

Fundamental Snapshot

Carlyle Credit Income Fund (CCIF.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: Carlyle Credit Income Fund has compounded at -4.3% annually over the last 10 years, with a maximum drawdown of 97.4% and an annualized volatility of 616.7%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-97.9%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-67.2%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-10.6%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-4.3%

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$10,039
2016-08-01$10,240
2016-09-01$10,077
2016-10-01$10,176
2016-11-01$10,075
2016-12-01$10,043
2017-01-01$10,194
2017-02-01$10,297
2017-03-01$10,341
2017-04-01$10,437
2017-05-01$10,508
2017-06-01$10,521
2017-07-01$10,535
2017-08-01$10,632
2017-09-01$10,352
2017-10-01$10,626
2017-11-01$10,679
2017-12-01$10,723
2018-01-01$10,571
2018-02-01$10,497
2018-03-01$10,691
2018-04-01$10,625
2018-05-01$10,776
2018-06-01$10,788
2018-07-01$10,766
2018-08-01$10,857
2018-09-01$10,770
2018-10-01$10,745
2018-11-01$10,648
2018-12-01$11,096
2019-01-01$11,151
2019-02-01$11,216
2019-03-01$11,412
2019-04-01$148,961
2019-05-01$8,070
2019-06-01$154,881
2019-07-01$9,727
2019-08-01$9,725
2019-09-01$166,971
2019-10-01$9,283
2019-11-01$9,393
2019-12-01$9,914
2020-01-01$10,124
2020-02-01$9,889
2020-03-01$8,019
2020-04-01$8,885
2020-05-01$9,323
2020-06-01$9,338
2020-07-01$9,353
2020-08-01$9,553
2020-09-01$9,657
2020-10-01$9,693
2020-11-01$9,915
2020-12-01$9,965
2021-01-01$152,072
2021-02-01$10,670
2021-03-01$170,526
2021-04-01$10,898
2021-05-01$11,389
2021-06-01$11,452
2021-07-01$11,069
2021-08-01$11,497
2021-09-01$11,376
2021-10-01$175,628
2021-11-01$11,380
2021-12-01$11,430
2022-01-01$11,494
2022-02-01$179,559
2022-03-01$198,336
2022-04-01$10,973
2022-05-01$200,399
2022-06-01$191,036
2022-07-01$195,125
2022-08-01$11,316
2022-09-01$172,373
2022-10-01$10,346
2022-11-01$11,200
2022-12-01$10,703
2023-01-01$11,932
2023-02-01$176,763
2023-03-01$182,951
2023-04-01$189,871
2023-05-01$170,221
2023-06-01$173,661
2023-07-01$182,701
2023-08-01$170,998
2023-09-01$160,752
2023-10-01$162,204
2023-11-01$165,947
2023-12-01$156,019
2024-01-01$151,963
2024-02-01$155,477
2024-03-01$161,219
2024-04-01$162,762
2024-05-01$158,854
2024-06-01$156,890
2024-07-01$174,777
2024-08-01$181,572
2024-09-01$194,086
2024-10-01$195,868
2024-11-01$210,234
2024-12-01$199,360
2025-01-01$212,262
2025-02-01$225,043
2025-03-01$228,286
2025-04-01$223,307
2025-05-01$218,516
2025-06-01$217,018
2025-07-01$228,744
2025-08-01$227,696
2025-09-01$239,057
2025-10-01$235,263
2025-11-01$243,550
2025-12-01$231,483
2026-01-01$237,811
2026-02-01$7,783
2026-03-01$7,414
2026-04-01$7,737
2026-05-01$7,229
2026-06-01$6,444
2026-07-01$6,628
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
97.4%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
739.50
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
8114.89
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
1457.2%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · +1357.7%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · -97.1%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
70%

Annual Returns

View full annual returns data
YearReturn
20176.8%
20183.5%
2019-10.6%
20200.5%
202114.7%
2022-6.4%
20231357.7%
202427.8%
202516.1%
2026-97.1%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20262.7-96.7-4.74.4-6.6-10.92.9-97.1%
20256.56.01.4-2.2-2.1-0.75.4-0.55.0-1.63.5-5.016.1%
2024-2.62.33.71.0-2.4-1.211.43.96.90.97.3-5.227.8%
202311.51381.53.53.8-10.32.05.2-6.4-6.00.92.3-6.01357.7%
20220.61462.210.5-94.51726.3-4.72.1-94.21423.3-94.08.3-4.4-6.4%
20211426.1-93.01498.1-93.64.50.5-3.33.9-1.11443.9-93.50.414.7%
20202.1-2.3-18.910.84.90.20.22.11.10.42.30.50.5%
20190.50.61.71205.4-94.61819.2-93.7-0.01616.9-94.41.25.5-10.6%
2018-1.4-0.71.8-0.61.40.1-0.20.8-0.8-0.2-0.94.23.5%
20171.51.00.40.90.70.10.10.9-2.62.60.50.46.8%
20160.42.0-1.61.0-1.0-0.30.4%

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
616.7%
View full factor risk breakdown
FactorRisk Exposure
VTI.US3.4%
VEA.US-1.2%
VWO.US0.8%
QQQ.US3.3%
VTV.US6.4%
IJR.US2.6%
QUAL.US0.3%
SHV.US25.0%
TLT.US1.2%
LQD.US0.4%
HYG.US10.2%
GLD.US1.9%
USO.US0.3%
VNQ.US-0.2%
BTC-USD.CC1.2%
CPER.US-0.3%
VIX.INDX2.5%
UUP.US2.5%
TIP.US1.7%
Idiosyncratic37.9%

Carlyle Credit Income Fund ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Distribution Yield
0.0%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E
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
$797
Avg Yield on Cost
7.97%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$796.797.97%

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 →
-6.9%
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 →
-94.1%
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 →
97.3% 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 →
1.00
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 →
50
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-95.7%
50.0% retracement-94.7%
61.8% retracement-93.2%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

CCIF.US — 10-Year Return & Risk Profile

Carlyle Credit Income Fund (CCIF.US) has delivered negative annualized growth of 4.3% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $6,449, representing a total return of 36%. Over this period, CCIF.US generated positive annual returns in 7 out of 10 calendar years (70%).

The best single calendar year for CCIF.US was 2023, with a return of +1357.7%. The worst year was 2026, when the asset declined 97.1%. 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 739.50 is considered excellent 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.

CCIF.US — Drawdown, Volatility & Downside Risk

CCIF.US's annualized volatility of 1457.2% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in CCIF.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 97.4% — a catastrophic peak-to-trough decline. 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 97% drawdown, for example, requires a 3680% gain just to break even.

When evaluating CCIF.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.

CCIF.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 25.0% of CCIF.US's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, CCIF.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 CCIF.US allocation.

The second-largest macro driver is High-Yield Corporate Credit, contributing 10.2% of variance. 37.9% of CCIF.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 CCIF.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding CCIF.US alongside assets with low correlation to Short-Term Interest Rates — 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 Carlyle Credit Income Fund a high-risk investment?

Carlyle Credit Income Fund (CCIF.US) has an annualized volatility of 616.7% and experienced a maximum drawdown of 97.4% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, CCIF.US has generated a Compound Annual Growth Rate (CAGR) of -4.3%. A $10,000 investment would have grown to approximately $6,449. It has had a positive return in 70% of calendar years.

What is CCIF.US's Sharpe ratio?

CCIF.US has a Sharpe ratio of 739.50 and a Sortino ratio of 8114.89 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading of 739.50 indicates efficient return generation relative to risk taken.

What is CCIF.US's dividend yield?

CCIF.US does not pay a meaningful dividend. Its returns are driven primarily by price appreciation. Investors seeking regular income may wish to consider dividend-focused alternatives.

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

CCIF.US is currently below its 200-day moving average by 94.1%. 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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