# Investment Proposal

**Prepared for Aaron Guo**
**February 2026**

---

## Client Profile

| | |
|---|---|
| **Client** | Aaron Guo |
| **Investable Assets** | $750,000 |
| **Investment Objective** | Aggressive Growth |
| **Risk Tolerance** | Aggressive |
| **Time Horizon** | 30+ Years |
| **Portfolio Tilt** | Technology / Artificial Intelligence Overweight |
| **Benchmark** | 80% S&P 500 / 20% MSCI ACWI ex-US |

---

## Investment Thesis

With a 30+ year time horizon and aggressive risk tolerance, your portfolio is designed to maximize long-term capital appreciation through a growth-oriented equity allocation with a deliberate overweight to technology and artificial intelligence.

**Core conviction:** The convergence of AI, semiconductors, cloud computing, and automation represents a multi-decade secular growth opportunity. By allocating 25% to a dedicated Tech/AI sleeve — complemented by a 30% large-cap growth core — the portfolio captures this thesis while maintaining diversification across geographies and asset classes.

The extended time horizon is your greatest asset. It allows the portfolio to absorb short-term volatility, compound aggressively, and recover from inevitable drawdowns. At a base-case 9% annual return, your $750,000 grows to approximately **$7.1 million over 30 years**.

---

## Proposed Asset Allocation

| Asset Class | Target % | Dollar Amount |
|---|:---:|---:|
| US Large Cap Growth | 30.0% | $225,000 |
| Technology / AI | 25.0% | $187,500 |
| US Mid/Small Cap | 12.0% | $90,000 |
| International Developed | 10.0% | $75,000 |
| Emerging Markets | 8.0% | $60,000 |
| Alternatives / REITs | 5.0% | $37,500 |
| Fixed Income | 7.0% | $52,500 |
| Cash / Money Market | 3.0% | $22,500 |
| **Total** | **100%** | **$750,000** |

### Allocation Rationale

- **55% US Equities (Large Cap Growth + Tech/AI + Mid/Small Cap):** Core engine of long-term returns. Large-cap growth provides exposure to quality compounders (e.g., mega-cap tech), while the dedicated Tech/AI sleeve concentrates exposure to semiconductors, robotics, and AI infrastructure. Mid/small-cap rounds out domestic equity with higher growth potential.

- **25% Technology / AI Overweight:** The deliberate tilt toward technology and AI captures the thesis that artificial intelligence is the defining investment theme of this decade and beyond. Implemented across broad tech (QQQ), semiconductors (SMH), and robotics/AI (BOTZ).

- **18% International (Developed + Emerging):** Geographic diversification reduces single-country concentration risk. Emerging markets exposure provides access to higher GDP growth economies.

- **12% Fixed Income + Alternatives + Cash:** A modest stabilizer. Bonds and cash provide rebalancing dry powder during equity drawdowns. REITs add real asset exposure and income potential.

---

## Implementation — ETF Selection

| Asset Class | Ticker | Fund Name | Expense Ratio |
|---|:---:|---|:---:|
| US Large Cap Growth | VUG | Vanguard Growth ETF | 0.04% |
| US Large Cap Growth | SCHG | Schwab US Large-Cap Growth ETF | 0.04% |
| Technology / AI | QQQ | Invesco QQQ Trust | 0.20% |
| Technology / AI | SMH | VanEck Semiconductor ETF | 0.35% |
| Technology / AI | BOTZ | Global X Robotics & AI ETF | 0.68% |
| US Mid/Small Cap | VXF | Vanguard Extended Market ETF | 0.06% |
| US Mid/Small Cap | ARKK | ARK Innovation ETF | 0.75% |
| International Developed | VEA | Vanguard FTSE Developed Markets | 0.05% |
| Emerging Markets | VWO | Vanguard FTSE Emerging Markets | 0.08% |
| Emerging Markets | KWEB | KraneShares CSI China Internet | 0.69% |
| Alternatives / REITs | VNQ | Vanguard Real Estate ETF | 0.12% |
| Fixed Income | BND | Vanguard Total Bond Market | 0.03% |
| Cash / Money Market | VMFXX | Vanguard Federal Money Market | 0.11% |

**Blended Weighted Expense Ratio: ~0.25%**

---

## Growth Projections

| Scenario | Today | Year 1 | Year 3 | Year 5 | Year 10 | Year 15 | Year 20 | Year 25 | Year 30 |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| **Bull (12%)** | $750,000 | $840,000 | $1,053,696 | $1,321,468 | $2,329,282 | $4,105,782 | $7,234,652 | $12,749,722 | $22,467,880 |
| **Base (9%)** | $750,000 | $817,500 | $971,268 | $1,154,028 | $1,775,798 | $2,731,934 | $4,202,652 | $6,464,156 | $9,942,458 |
| **Conservative (6%)** | $750,000 | $795,000 | $893,262 | $1,003,560 | $1,343,108 | $1,797,282 | $2,405,414 | $3,219,332 | $4,308,682 |
| **Bear (3%)** | $750,000 | $772,500 | $819,564 | $869,556 | $1,008,050 | $1,168,598 | $1,354,688 | $1,570,600 | $1,820,878 |

### Base Case Highlights (9% Annual Return)

- **Year 5:** $1.15M (+$404K)
- **Year 10:** $1.78M (+$1.03M)
- **Year 20:** $4.20M (+$3.45M)
- **Year 30:** $9.94M (+$9.19M) — **13.3x initial investment**

> These projections assume reinvestment of all dividends and no additional contributions. Actual results will vary based on market conditions.

---

## Fee Analysis

| Component | Annual Rate | Annual Cost |
|---|:---:|---:|
| Portfolio ETF Expense Ratio (Blended) | 0.25% | $1,875 |
| Advisory Fee (Proposed) | 0.65% | $4,875 |
| **Total All-In Cost** | **0.90%** | **$6,750** |
| | | |
| Industry Avg Mutual Fund ER | 1.00% | $7,500 |
| Industry Avg Advisory Fee | 1.00% | $7,500 |
| **Industry Avg Total Cost** | **2.00%** | **$15,000** |

### Cost Savings

- **Annual savings vs. industry average: $8,250**
- **10-year cumulative savings (compounded): ~$130,000+**
- **30-year impact:** The 1.10% cost difference compounds to hundreds of thousands of dollars in additional wealth

---

## Risk Profile

| Metric | Value |
|---|:---:|
| Expected Annual Return | 9.0% |
| Expected Volatility (Std Dev) | 17.5% |
| Sharpe Ratio (est.) | 0.40 |
| Max Drawdown (historical, similar alloc.) | -38% |
| Beta vs S&P 500 | 1.12 |
| Recovery Period (est. after max DD) | ~2.5 years |

### Key Risk Considerations

- **Equity concentration (90%)** — Short-term drawdowns of 30-40% are possible and should be expected over a 30-year period
- **Tech/AI sector risk** — A 25% tech allocation means sector-specific downturns (e.g., dot-com style correction) would disproportionately impact the portfolio
- **Emerging markets risk** — Currency fluctuations, political instability, and liquidity constraints add volatility
- **Thematic ETF risk** — Higher expense ratios and potential style drift in funds like ARKK, BOTZ, and KWEB
- **Behavioral risk** — The greatest risk is selling during a downturn. Staying invested through volatility is essential to achieving long-term projections

**Mitigation strategy:** Quarterly rebalancing, systematic contributions (if applicable), and disciplined adherence to the long-term allocation. The 10% fixed income + cash allocation provides dry powder to rebalance into equities during drawdowns.

---

## Next Steps

1. Review this proposal and confirm alignment with your financial goals
2. Complete account opening documentation and fund transfer paperwork
3. Finalize asset allocation — adjust tilts based on your preferences
4. Execute initial portfolio purchases across selected ETF vehicles
5. Establish quarterly rebalancing schedule and performance review cadence
6. Set up automated contributions (if applicable) to dollar-cost average
7. Schedule first quarterly review meeting (Q2 2026)

---

*IMPORTANT DISCLOSURES: This investment proposal is for informational purposes only and does not constitute investment advice, a solicitation, or an offer to buy or sell any securities. Past performance is not indicative of future results. All projections are hypothetical and based on assumed rates of return that may not be achieved. Actual results will vary. Investing involves risk, including the possible loss of principal. Consult with a qualified financial advisor before making investment decisions.*