Pavlos Parissis
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Personal Allocation

My portfolio
framework.

A case study in how I think about allocation, liquidity and liabilities. Personal balances stay private; the example below uses a hypothetical €100,000 starting value and percentage weights.

HISTORICAL PROXY MODEL · 23 JUN 2025 → 07 OCT 2026

€100k → ~€135.5k

If €100,000 had been invested using this static allocation at the start of the period, the market proxies below would imply an approximate EUR-based price return of 35.5%. The calculation includes currency translation from USD back into EUR; it is an illustration of the type of risk exposure I favour, not my actual portfolio performance.

US technology · 50%QQQ · ~+47.9% in EUR

Europe · 20%VGK · ~+17.8% in EUR

Emerging Markets · 20%VWO · ~+29.6% in EUR

Gold · 8%GLD · ~+25.8% in EUR

Cash · 2%0% modelled

EUR/USD1.1600 → 1.1177

MODEL ALLOCATION · % OF PORTFOLIO

US technology50%

Europe20%

Emerging Markets20%

Gold8%

Cash2%

Single-stock look-through

What is actually inside the equity ETFs

The largest individual companies inside each equity bucket, showing both their weight in the ETF and their approximate effective weight in the total model portfolio. Smaller holdings are grouped into “Other”.

US TECHNOLOGY · QQQ · 50% OF MODEL

Nasdaq-100 exposure. The top 10 positions account for about 46.7% of QQQ, making this the most concentrated equity sleeve.

NVIDIA8.33% of QQQ · 4.17% of model

Apple7.35% · 3.68%

Microsoft5.76% · 2.88%

Micron5.02% · 2.51%

AMD4.17% · 2.09%

Amazon4.07% · 2.04%

Meta3.26% · 1.63%

Alphabet A3.05% · 1.53%

Alphabet C2.85% · 1.43%

Tesla2.82% · 1.41%

Other QQQ holdings53.32% · 26.66% of model

Top 10 ≈ 46.68% of QQQ, or ≈ 23.34% of the total model portfolio. Holdings are dynamic and change over time.
EUROPE · VGK · 20% OF MODEL

Broad developed-Europe exposure. VGK holds more than 1,200 stocks, so individual-company concentration is much lower than in QQQ.

ASML4.79% of VGK · 0.96% of model

HSBC2.04% · 0.41%

Novartis1.83% · 0.37%

Roche1.81% · 0.36%

AstraZeneca1.76% · 0.35%

Nestlé1.66% · 0.33%

Siemens1.48% · 0.30%

Santander1.26% · 0.25%

Shell1.25% · 0.25%

Allianz1.13% · 0.23%

Other European holdings80.99% · 16.20% of model

Top 10 ≈ 19.01% of VGK, or ≈ 3.80% of the total model portfolio.
EMERGING MARKETS · VWO · 20% OF MODEL

Very broad emerging-market exposure with more than 6,000 stocks, although TSMC is a meaningfully larger position than any other single holding.

TSMC14.90% of VWO · 2.98% of model

Tencent3.18% · 0.64%

Alibaba2.32% · 0.46%

MediaTek1.30% · 0.26%

China Construction Bank0.86% · 0.17%

Delta Electronics0.79% · 0.16%

Hon Hai Precision0.77% · 0.15%

Reliance Industries0.76% · 0.15%

HDFC Bank0.74% · 0.15%

ICICI Bank0.66% · 0.13%

Other EM holdings73.72% · 14.74% of model

Top 10 ≈ 26.28% of VWO, or ≈ 5.26% of the total model portfolio.
01 · Allocation

Most capital is invested

The framework is deliberately growth-oriented: half of the model sits in US technology, while Europe and Emerging Markets provide geographic diversification. Gold acts as a separate real-asset exposure and cash is kept minimal.

02 · Debt

Assets are not net worth

I also carry student debt. I therefore distinguish between financial assets and net worth: liabilities belong in the personal balance sheet even when they are not part of the investment allocation itself.

Illustrative personal-finance case study only. The €100,000 starting value is hypothetical. Market-proxy returns use price changes between 23 June 2025 and 7 October 2026 and include translation from USD into EUR using the EUR/USD rate at the two endpoints; dividends, taxes and fees are excluded. My tracked financial assets grew by roughly 42% over the broader period, but that also includes new savings and contributions and should not be read as investment performance. This is not investment, financial, tax or legal advice.