Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
QQQ Invesco QQQ ETF | Large Cap Growth Equities | 37.68% |
VIG Vanguard Dividend Appreciation ETF | Dividend | 62.32% |
Performance
Performance Chart
The chart shows the growth of an initial investment of $10,000 in Growth Model I, 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 Apr 27, 2006, corresponding to the inception date of VIG
Returns By Period
As of Apr 2, 2026, the Growth Model I returned -2.55% Year-To-Date and 15.06% of annualized return in the last 10 years.
| 1D | 1M | YTD | 6M | 1Y | 3Y* | 5Y* | 10Y* | |
|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | 0.11% | -3.43% | -3.84% | -1.98% | 16.08% | 16.86% | 10.37% | 12.29% |
Portfolio Growth Model I | 0.14% | -3.28% | -2.55% | -0.94% | 16.83% | 17.32% | 11.39% | 15.06% |
| Portfolio components: | ||||||||
QQQ Invesco QQQ ETF | 0.11% | -2.64% | -4.65% | -3.18% | 23.45% | 22.97% | 13.18% | 19.05% |
VIG Vanguard Dividend Appreciation ETF | 0.16% | -3.69% | -1.33% | 0.36% | 12.71% | 13.72% | 9.86% | 12.36% |
Monthly Returns
Based on dividend-adjusted daily data since Apr 28, 2006, Growth Model I's average daily return is +0.05%, while the average monthly return is +1.02%. At this rate, your investment would double in approximately 5.7 years.
Historically, 66% of months were positive and 34% were negative. The best month was Apr 2020 with a return of +11.8%, while the worst month was Oct 2008 at -14.6%. The longest winning streak lasted 8 consecutive months, and the longest losing streak was 5 months.
On a daily basis, Growth Model I closed higher 55% of trading days. The best single day was Oct 28, 2008 with a return of +10.2%, while the worst single day was Mar 16, 2020 at -11.2%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 1.67% | 0.15% | -5.04% | 0.79% | -2.55% | ||||||||
| 2025 | 2.85% | -0.72% | -5.35% | -0.43% | 5.73% | 4.85% | 1.34% | 1.82% | 3.72% | 2.17% | 0.99% | -0.81% | 16.84% |
| 2024 | 1.45% | 4.12% | 2.22% | -4.22% | 4.39% | 3.35% | 1.84% | 2.52% | 1.86% | -1.54% | 5.38% | -2.24% | 20.35% |
| 2023 | 5.83% | -1.80% | 4.90% | 1.63% | 1.23% | 6.41% | 2.92% | -1.74% | -4.58% | -1.69% | 8.73% | 4.69% | 28.88% |
| 2022 | -6.60% | -3.42% | 3.62% | -8.31% | -0.61% | -7.19% | 8.95% | -4.10% | -9.08% | 7.72% | 6.31% | -5.63% | -18.84% |
| 2021 | -1.72% | 0.92% | 4.41% | 4.75% | 0.62% | 2.29% | 3.06% | 2.63% | -5.26% | 7.29% | -0.09% | 4.43% | 25.24% |
Benchmark Metrics
Growth Model I has an annualized alpha of 3.81%, beta of 0.92, and R² of 0.97 versus S&P 500 Index. Calculated based on daily prices since April 28, 2006.
- This portfolio captured 104.24% of S&P 500 Index gains but only 88.95% of its losses — a favorable profile for investors.
- This portfolio generated an annualized alpha of 3.81% versus S&P 500 Index — delivering returns beyond what market exposure alone would predict.
- With beta of 0.92 and R² of 0.97, this portfolio moves broadly in line with S&P 500 Index — much of its variation is explained by market exposure rather than independent behavior.
- Alpha
- 3.81%
- Beta
- 0.92
- R²
- 0.97
- Upside Capture
- 104.24%
- Downside Capture
- 88.95%
Expense Ratio
Growth Model I has an expense ratio of 0.09%, which is considered low. 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
Growth Model I ranks 32 for risk / return — below 32% of portfolios on our site. The returns aren't fully compensating for the risk involved. This isn't necessarily a dealbreaker, but factor it into your decision — especially if you're risk-averse.
Return / Risk — by metrics
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
Sharpe ratioReturn per unit of total volatility | 0.97 | 0.88 | +0.09 |
Sortino ratioReturn per unit of downside risk | 1.49 | 1.37 | +0.13 |
Omega ratioGain probability vs. loss probability | 1.22 | 1.21 | +0.01 |
Calmar ratioReturn relative to maximum drawdown | 1.53 | 1.39 | +0.14 |
Martin ratioReturn relative to average drawdown | 7.21 | 6.43 | +0.77 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.
| Risk / Return Rank | Sharpe ratio | Sortino ratio | Omega ratio | Calmar ratio | Martin ratio | |
|---|---|---|---|---|---|---|
QQQ Invesco QQQ ETF | 59 | 1.04 | 1.62 | 1.23 | 1.93 | 7.00 |
VIG Vanguard Dividend Appreciation ETF | 43 | 0.84 | 1.28 | 1.19 | 1.24 | 5.41 |
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Dividends
Dividend yield
Growth Model I provided a 1.18% dividend yield over the last twelve months.
| TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 1.18% | 1.18% | 1.29% | 1.41% | 1.52% | 1.13% | 1.22% | 1.35% | 1.64% | 1.49% | 1.73% | 1.83% |
| Portfolio components: | ||||||||||||
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% |
VIG Vanguard Dividend Appreciation ETF | 1.60% | 1.62% | 1.73% | 1.88% | 1.96% | 1.55% | 1.63% | 1.71% | 2.08% | 1.88% | 2.14% | 2.34% |
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 Growth Model I. 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 Growth Model I was 48.28%, occurring on Mar 9, 2009. Recovery took 453 trading sessions.
The current Growth Model I drawdown is 5.35%.
Depth | Start | To Bottom | Bottom | To Recover | End | Total |
|---|---|---|---|---|---|---|
| -48.28% | Oct 10, 2007 | 355 | Mar 9, 2009 | 453 | Dec 22, 2010 | 808 |
| -30.18% | Feb 20, 2020 | 23 | Mar 23, 2020 | 79 | Jul 15, 2020 | 102 |
| -25.68% | Dec 30, 2021 | 198 | Oct 12, 2022 | 286 | Dec 1, 2023 | 484 |
| -18.9% | Oct 2, 2018 | 58 | Dec 24, 2018 | 70 | Apr 5, 2019 | 128 |
| -17.92% | Feb 20, 2025 | 34 | Apr 8, 2025 | 54 | Jun 26, 2025 | 88 |
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 2 assets, with an effective number of assets of 1.89, reflecting the diversification based on asset allocation. This number of effective assets suggests a highly concentrated portfolio, where a few assets dominate the allocation, potentially increasing the portfolio's risk due to lack of diversification.
Asset Correlations Table
| Benchmark | QQQ | VIG | Portfolio | |
|---|---|---|---|---|
| Benchmark | 1.00 | 0.90 | 0.94 | 0.97 |
| QQQ | 0.90 | 1.00 | 0.78 | 0.93 |
| VIG | 0.94 | 0.78 | 1.00 | 0.95 |
| Portfolio | 0.97 | 0.93 | 0.95 | 1.00 |