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Boring Recession
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


MFTNX 16.67%GLD 16.67%QQQ 16.67%SPY 16.67%VONG 16.67%SPMO 16.67%AlternativesAlternativesCommodityCommodityEquityEquity

S&P 500 Index

Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in Boring Recession, comparing it to the performance of the S&P 500 index or another benchmark. All prices have been adjusted for splits and dividends. The portfolio is rebalanced Every 3 months.


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The earliest data available for this chart is Oct 12, 2015, corresponding to the inception date of SPMO

Returns By Period

As of Apr 3, 2026, the Boring Recession returned -0.58% Year-To-Date and 15.47% of annualized return in the last 10 years.


1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.11%-4.18%-3.84%-1.98%21.98%16.86%10.37%12.29%
Portfolio
Boring Recession
-0.06%-4.83%-0.58%3.10%32.34%23.13%16.01%15.47%
MFTNX
Arrow Managed Futures Strategy Fund Institutional Class
1.19%-2.44%8.63%15.84%28.79%8.69%11.46%5.65%
QQQ
Invesco QQQ ETF
0.11%-4.10%-4.65%-2.77%30.43%22.97%13.18%19.05%
SPY
State Street SPDR S&P 500 ETF
0.09%-4.02%-3.56%-1.44%23.60%18.37%11.88%14.11%
GLD
SPDR Gold Shares
-1.92%-8.98%8.35%20.07%49.92%32.51%21.53%13.97%
VONG
Vanguard Russell 1000 Growth ETF
-0.01%-4.93%-8.98%-8.25%24.87%21.43%12.55%16.78%
SPMO
Invesco S&P 500 Momentum ETF
0.21%-4.32%-3.57%-3.95%30.58%28.37%17.71%17.43%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Oct 13, 2015, Boring Recession's average daily return is +0.06%, while the average monthly return is +1.23%. At this rate, your investment would double in approximately 4.7 years.

Historically, 69% of months were positive and 31% were negative. The best month was Apr 2020 with a return of +10.3%, while the worst month was Oct 2018 at -7.3%. The longest winning streak lasted 11 consecutive months, and the longest losing streak was 3 months.

On a daily basis, Boring Recession closed higher 57% of trading days. The best single day was Apr 9, 2025 with a return of +8.1%, while the worst single day was Mar 16, 2020 at -7.8%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20263.56%1.42%-6.49%1.22%-0.58%
20254.26%-1.83%-4.14%1.13%5.47%4.00%2.34%1.91%6.84%2.63%0.61%0.96%26.43%
20243.08%8.04%3.62%-2.80%3.20%3.31%-0.21%1.38%2.61%-0.98%4.55%-0.64%27.71%
20233.61%-0.68%2.63%2.54%1.74%5.15%2.31%-0.88%-3.12%-1.03%5.44%3.71%23.17%
2022-3.66%0.26%5.40%-6.12%-1.15%-5.19%5.56%-1.56%-5.45%5.03%3.17%-3.22%-7.72%
2021-1.05%-0.31%1.79%5.71%1.22%1.53%1.74%2.48%-3.89%6.81%-2.90%3.21%17.02%

Benchmark Metrics

Boring Recession has an annualized alpha of 6.11%, beta of 0.71, and R² of 0.82 versus S&P 500 Index. Calculated based on daily prices since October 13, 2015.

  • This portfolio participates in less of S&P 500 Index's moves in both directions, but captures a larger share of gains (85.92%) than losses (65.77%) — typical of diversified or defensive assets.
  • This portfolio generated an annualized alpha of 6.11% versus S&P 500 Index — delivering returns beyond what market exposure alone would predict.

Alpha
6.11%
Beta
0.71
0.82
Upside Capture
85.92%
Downside Capture
65.77%

Expense Ratio

Boring Recession has an expense ratio of 0.40%, placing it in the medium range. Below, you can find the expense ratios of the portfolio's funds side by side and easily compare their relative costs.


Return for Risk

Risk / Return Rank

Boring Recession ranks 73 for risk / return — better than 73% of portfolios on our site. You're getting solid returns for the risk taken. A good sign, especially for investors who want growth without excessive volatility.


Boring Recession Risk / Return Rank: 7373
Overall Rank
Boring Recession Sharpe Ratio Rank: 7373
Sharpe Ratio Rank
Boring Recession Sortino Ratio Rank: 7474
Sortino Ratio Rank
Boring Recession Omega Ratio Rank: 7474
Omega Ratio Rank
Boring Recession Calmar Ratio Rank: 7272
Calmar Ratio Rank
Boring Recession Martin Ratio Rank: 7070
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

Return / Risk — by metrics


PortfolioBenchmarkDifference

Sharpe ratio

Return per unit of total volatility

1.58

0.88

+0.70

Sortino ratio

Return per unit of downside risk

2.26

1.37

+0.90

Omega ratio

Gain probability vs. loss probability

1.33

1.21

+0.12

Calmar ratio

Return relative to maximum drawdown

2.55

1.39

+1.16

Martin ratio

Return relative to average drawdown

10.16

6.43

+3.72


How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.

Risk / Return RankSharpe ratioSortino ratioOmega ratioCalmar ratioMartin ratio
MFTNX
Arrow Managed Futures Strategy Fund Institutional Class
541.221.651.222.385.00
QQQ
Invesco QQQ ETF
581.041.621.231.937.00
SPY
State Street SPDR S&P 500 ETF
520.921.451.221.517.11
GLD
SPDR Gold Shares
781.772.191.322.579.28
VONG
Vanguard Russell 1000 Growth ETF
380.801.301.181.153.86
SPMO
Invesco S&P 500 Momentum ETF
561.011.551.231.916.68

Sharpe Ratio

The Sharpe ratio helps investors understand how much return they're getting for the level of risk taken. A higher Sharpe ratio indicates better risk-adjusted performance, meaning more reward for each unit of risk.

Boring Recession Sharpe ratios as of Apr 3, 2026 (values are recalculated daily):

  • 1-Year: 1.58
  • 5-Year: 1.11
  • 10-Year: 1.08
  • All Time: 1.07

These values reflect how efficiently the investment has delivered returns relative to its volatility over different time periods. All figures are annualized and based on daily total returns (including price changes and dividends).

Compared to the broad market, where average Sharpe ratios range from 0.97 to 1.66, this portfolio's current Sharpe ratio falls between the 25th and 75th percentiles. This indicates that its risk-adjusted performance is in line with the majority of portfolios, suggesting a balanced approach to risk and return—likely suitable for a wide range of investors.

The chart below shows the rolling Sharpe ratio of Boring Recession compared to the selected benchmark. This view highlights how the investment's risk-adjusted performance has changed over time.


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Dividends

Dividend yield

Boring Recession provided a 0.50% dividend yield over the last twelve months.


TTM20252024202320222021202020192018201720162015
Portfolio0.50%0.45%0.47%2.67%7.60%0.88%0.68%4.17%2.27%1.15%2.64%1.06%
MFTNX
Arrow Managed Futures Strategy Fund Institutional Class
0.00%0.00%0.00%11.69%40.52%2.53%0.00%20.10%8.43%2.28%9.35%1.46%
QQQ
Invesco QQQ ETF
0.48%0.45%0.56%0.62%0.80%0.43%0.55%0.74%0.91%0.84%1.06%0.99%
SPY
State Street SPDR S&P 500 ETF
1.13%1.07%1.21%1.40%1.65%1.20%1.52%1.75%2.04%1.80%2.03%2.06%
GLD
SPDR Gold Shares
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
VONG
Vanguard Russell 1000 Growth ETF
0.50%0.45%0.55%0.71%0.98%0.58%0.77%1.03%1.18%1.19%1.48%1.47%
SPMO
Invesco S&P 500 Momentum ETF
0.88%0.73%0.48%1.63%1.66%0.52%1.27%1.39%1.05%0.77%1.94%0.36%

Drawdowns

Drawdowns Chart

The Drawdowns chart displays portfolio losses from any high point along the way. Drawdowns are calculated considering price movements and all distributions paid, if any.


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Worst Drawdowns

The table below displays the maximum drawdowns of the Boring Recession. A maximum drawdown is a measure of risk, indicating the largest reduction in portfolio value due to a series of losing trades.

The maximum drawdown for the Boring Recession was 22.33%, occurring on Mar 23, 2020. Recovery took 71 trading sessions.

The current Boring Recession drawdown is 7.11%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-22.33%Feb 20, 202023Mar 23, 202071Jul 2, 202094
-17%Feb 19, 202535Apr 8, 202553Jun 25, 202588
-16.38%Oct 4, 201856Dec 24, 201881Apr 23, 2019137
-14.75%Mar 30, 2022128Sep 30, 2022168Jun 2, 2023296
-11.01%Jan 29, 20189Feb 8, 2018164Oct 3, 2018173

Volatility

Volatility Chart

The chart below shows the rolling one-month volatility.


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Diversification

Diversification Metrics


Number of Effective Assets

The portfolio contains 6 assets, with an effective number of assets of 6.00, reflecting the diversification based on asset allocation. This number of effective assets indicates a moderate level of diversification, where some assets may have a more significant influence on overall performance.

Asset Correlations Table

The table below displays the correlation coefficients between the individual components of the portfolio, the entire portfolio, and the chosen benchmark.

BenchmarkGLDMFTNXSPMOQQQSPYVONGPortfolio
Benchmark1.000.030.150.780.911.000.940.88
GLD0.031.000.090.060.030.030.020.24
MFTNX0.150.091.000.170.140.150.140.42
SPMO0.780.060.171.000.760.780.790.81
QQQ0.910.030.140.761.000.910.970.88
SPY1.000.030.150.780.911.000.940.88
VONG0.940.020.140.790.970.941.000.89
Portfolio0.880.240.420.810.880.880.891.00
The correlation results are calculated based on daily price changes starting from Oct 13, 2015