FANG Portfolio
FANG is one of the most commonly used abbreviations in the world of finance. Jim Kramer coined it in 2013 to refer to the stocks of four fast-growing internet companies: Facebook, Amazon, Netflix, and Google. Later, investors started to add more technology companies to this group, which led to FAANG, FAAMG, and FANG Plus formation.
Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
AMZN Amazon.com, Inc. | Consumer Cyclical | 25% |
GOOG Alphabet Inc | Communication Services | 25% |
META Meta Platforms, Inc. | Communication Services | 25% |
NFLX Netflix, Inc. | Communication Services | 25% |
Performance
Performance Chart
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The earliest data available for this chart is Apr 3, 2014, corresponding to the inception date of GOOG
Returns By Period
As of Jun 3, 2025, the FANG Portfolio returned 8.07% Year-To-Date and 27.66% of annualized return in the last 10 years.
| YTD | 1M | 6M | 1Y | 5Y* | 10Y* | |
|---|---|---|---|---|---|---|
^GSPC S&P 500 | 0.92% | 4.38% | -1.84% | 12.48% | 13.71% | 10.99% |
| FANG Portfolio | 8.07% | 7.19% | 11.25% | 34.96% | 22.33% | 27.66% |
| Portfolio components: | ||||||
META Meta Platforms, Inc. | 14.69% | 12.37% | 13.36% | 44.24% | 23.97% | 23.43% |
AMZN Amazon.com, Inc. | -5.81% | 8.77% | -1.93% | 17.12% | 10.77% | 25.48% |
GOOG Alphabet Inc | -10.44% | 2.75% | -1.28% | -1.60% | 18.97% | 20.43% |
NFLX Netflix, Inc. | 36.76% | 5.40% | 35.78% | 89.98% | 23.64% | 29.70% |
Monthly Returns
The table below presents the monthly returns of FANG Portfolio, with color gradation from worst to best to easily spot seasonal factors. Returns are adjusted for dividends.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 10.90% | -7.27% | -9.57% | 4.15% | 10.48% | 1.00% | 8.07% | ||||||
| 2024 | 7.20% | 11.42% | 2.36% | -3.85% | 7.63% | 6.98% | -5.39% | 2.98% | 4.27% | 2.27% | 7.25% | 4.77% | 58.01% |
| 2023 | 19.78% | -2.21% | 13.85% | 3.76% | 14.37% | 6.45% | 5.79% | -0.55% | -5.69% | 2.31% | 10.25% | 4.94% | 97.82% |
| 2022 | -13.11% | -9.70% | 2.87% | -25.14% | -1.45% | -10.99% | 15.23% | -2.79% | -7.75% | -4.65% | 6.85% | -6.75% | -47.97% |
| 2021 | -0.93% | 2.27% | 3.00% | 9.33% | -1.97% | 5.35% | 1.27% | 7.09% | -4.39% | 5.62% | -1.91% | -1.62% | 24.53% |
| 2020 | 5.24% | -2.63% | -4.90% | 19.31% | 3.67% | 5.08% | 9.72% | 10.82% | -8.82% | 0.56% | 5.46% | 2.56% | 52.74% |
| 2019 | 19.10% | -0.35% | 3.75% | 7.36% | -7.67% | 5.22% | -0.03% | -4.95% | -2.58% | 5.19% | 4.98% | 2.42% | 34.46% |
| 2018 | 20.65% | 1.06% | -4.22% | 5.06% | 8.74% | 5.05% | -2.78% | 5.98% | -1.79% | -14.27% | -1.38% | -7.26% | 11.21% |
| 2017 | 10.00% | 2.72% | 3.68% | 5.57% | 5.49% | -4.33% | 9.55% | -0.60% | 0.90% | 8.66% | 0.31% | 0.90% | 50.83% |
| 2016 | -6.91% | -3.96% | 7.52% | -1.21% | 7.53% | -5.12% | 6.34% | 2.32% | 3.24% | 6.09% | -6.10% | 1.50% | 10.03% |
| 2015 | 10.65% | 5.98% | -3.74% | 10.24% | 4.02% | 3.13% | 18.80% | -2.38% | -3.04% | 14.32% | 6.55% | -0.72% | 81.52% |
| 2014 | -6.28% | 11.01% | 4.70% | -0.10% | 5.94% | -0.91% | -6.63% | 0.13% | -3.23% | 3.35% |
Expense Ratio
FANG Portfolio has an expense ratio of 0.00%, meaning no management fees are charged. Below, you can find the expense ratios of the portfolio's funds side by side and easily compare their relative costs.
Risk-Adjusted Performance
Risk-Adjusted Performance Rank
With an overall rank of 76, FANG Portfolio is among the top 24% of portfolios on our website when it comes to balancing risk and reward. Below is a breakdown of how it compares using common performance measures.
Risk-Adjusted Performance Indicators
This table presents a comparison of risk-adjusted performance metrics for positions. Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.
| Sharpe ratio | Sortino ratio | Omega ratio | Calmar ratio | Martin ratio | |
|---|---|---|---|---|---|
META Meta Platforms, Inc. | 1.20 | 1.74 | 1.23 | 1.23 | 3.70 |
AMZN Amazon.com, Inc. | 0.50 | 0.79 | 1.10 | 0.44 | 1.12 |
GOOG Alphabet Inc | -0.05 | 0.06 | 1.01 | -0.12 | -0.25 |
NFLX Netflix, Inc. | 2.80 | 3.42 | 1.46 | 4.50 | 14.74 |
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Dividends
Dividend yield
FANG Portfolio provided a 0.19% dividend yield over the last twelve months.
| TTM | 2024 | |
|---|---|---|
| Portfolio | 0.19% | 0.16% |
| Portfolio components: | ||
META Meta Platforms, Inc. | 0.30% | 0.34% |
AMZN Amazon.com, Inc. | 0.00% | 0.00% |
GOOG Alphabet Inc | 0.47% | 0.32% |
NFLX Netflix, Inc. | 0.00% | 0.00% |
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 FANG Portfolio. 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 FANG Portfolio was 55.92%, occurring on Nov 3, 2022. Recovery took 304 trading sessions.
The current FANG Portfolio drawdown is 4.21%.
Depth | Start | To Bottom | Bottom | To Recover | End | Total |
|---|---|---|---|---|---|---|
| -55.92% | Nov 22, 2021 | 240 | Nov 3, 2022 | 304 | Jan 23, 2024 | 544 |
| -32.1% | Jul 26, 2018 | 105 | Dec 24, 2018 | 84 | Apr 26, 2019 | 189 |
| -26.47% | Feb 20, 2020 | 18 | Mar 16, 2020 | 32 | Apr 30, 2020 | 50 |
| -25.03% | Feb 5, 2025 | 42 | Apr 4, 2025 | — | — | — |
| -20.45% | Dec 7, 2015 | 43 | Feb 8, 2016 | 121 | Aug 1, 2016 | 164 |
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 4 assets, with an effective number of assets of 4.00, 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
| ^GSPC | NFLX | META | GOOG | AMZN | Portfolio | |
|---|---|---|---|---|---|---|
| ^GSPC | 1.00 | 0.51 | 0.61 | 0.70 | 0.64 | 0.70 |
| NFLX | 0.51 | 1.00 | 0.51 | 0.48 | 0.54 | 0.78 |
| META | 0.61 | 0.51 | 1.00 | 0.65 | 0.61 | 0.81 |
| GOOG | 0.70 | 0.48 | 0.65 | 1.00 | 0.67 | 0.80 |
| AMZN | 0.64 | 0.54 | 0.61 | 0.67 | 1.00 | 0.83 |
| Portfolio | 0.70 | 0.78 | 0.81 | 0.80 | 0.83 | 1.00 |
AI Insight on Diversification
The portfolio is moderately concentrated with limited diversification benefits due to the relatively high correlations among its individual positions. The four stocks—NFLX, META, GOOG, and AMZN—exhibit correlations ranging from 0.48 to 0.67, indicating a strong tendency to move in the same direction, which reduces the potential risk reduction from diversification. Among these, the highest pairwise correlation is between GOOG and AMZN at 0.67, followed closely by META and GOOG at 0.65, and META and AMZN at 0.61, suggesting these positions are particularly aligned in their price movements.
There are no notably low correlations that would provide significant diversification benefits; the lowest correlation is 0.48 between NFLX and GOOG, which is still moderately high. This implies that the portfolio is exposed to similar market or sector risks, likely technology and consumer discretionary factors common to these large-cap growth stocks.
The portfolio's correlation with each individual position is quite high, ranging from 0.78 with NFLX to 0.83 with AMZN. This indicates that the portfolio’s overall performance is strongly influenced by the movements of each constituent stock, with AMZN having the highest correlation and thus potentially a slightly larger impact on the portfolio’s returns.
Given these correlation levels, the portfolio appears concentrated rather than well diversified. The high inter-stock correlations and strong portfolio-to-position correlations suggest that the portfolio's risk profile is closely tied to the performance of these few large tech-related companies, limiting the benefits of diversification and increasing vulnerability to sector-specific downturns.