Research Mandate
Policy Alpha is an independent research framework focused on translating macro regimes, industrial policy, and equity-market leadership into disciplined portfolio construction.
Policy Momentum · Blue-Chip Core · Cross-Market Risk
Policy Alpha Portfolio
A rules-based research framework combining government policy cycles, quality blue-chip selection, U.S. market risk appetite, and an internal trend framework to define entries, exits, and portfolio exposure.
Research UniverseU.S. Equities + Policy Themes
Primary LensMacro Regime + Quality
Execution FilterInternal Trend Framework
POLICY ALPHA MODEL · WINDOW 2021.01-2026.05
Illustrative Backtest
Cumulative Return
+86.4%
Annualized Return
+12.1%
Max Drawdown
-18.7%
S&P 500 Comp
+61.8%
Nasdaq 100 Comp
+74.2%
Model State
Risk On
Illustrative framework backtest only. Not actual account performance, future return guidance, or an investment promise.
About
Elena Zhang
Principal Researcher · UNSW Business Analytics · Macro & Policy-Aware Equity Research
Coverage Focus
- Critical Minerals
- Macro Regime Rotation
- Policy-Driven Equity Themes
- Portfolio Construction
Investment Process
Three Filters, Two Confirmations
The process starts with policy and industry-cycle assessment, then screens for durable blue-chip quality, and finally uses an internal trend framework to confirm execution windows before capital is deployed.
Policy Direction
Track fiscal, industrial, energy, technology, and healthcare policy to identify durable capital-flow themes.
Blue-Chip Quality
Prioritize companies with strong market share, balance-sheet strength, earnings resilience, and governance quality.
Internal Trend Framework
Use an internal trend model to filter noise and stage entries only after market structure improves.
U.S. Market Overlay
Monitor Nasdaq, S&P 500, dollar liquidity, and rate expectations to size equity, cash, and defensive exposure.
Investment Governance
Research Discipline Before Portfolio Expression
Every allocation must pass a documented thesis, valuation discipline, trend confirmation, and risk-budget review before it enters the model portfolio.
Thesis Memo
Policy catalyst, business quality, valuation range, and disconfirming evidence are written before entry.
Risk Budget
Single-name, sector, and drawdown limits are assigned before sizing, not after volatility appears.
Execution Gate
Internal trend confirmation defines the difference between a watchlist idea and an active position.
Review Cadence
Positions are reviewed monthly, with immediate review after policy shifts, earnings surprises, or trend breaks.
Sector Playbook
Sector Rotation Around Policy Themes
The portfolio favors sectors supported by policy, technological progress, and demand expansion, while avoiding permanent over-commitment to any single theme.
Innovation Tech
EV & New Energy
Lithium Resources
Healthcare
Staples
Dividend Defense
Sector Allocation Scores
May 2026 Research View
Innovation TechPolicy 9 · Trend 8 · Valuation 6 · Quality 8
22%
EV & New EnergyPolicy 8 · Trend 7 · Valuation 6 · Quality 7
18%
HealthcarePolicy 7 · Trend 6 · Valuation 7 · Quality 8
14%
Lithium ResourcesPolicy 7 · Trend 5 · Valuation 7 · Quality 5
8%
Core StaplesPolicy 5 · Trend 6 · Valuation 7 · Quality 8
12%
Dividend DefensePolicy 4 · Trend 6 · Valuation 8 · Quality 7
10%
Cash / T-BillsValuation 9 · Quality 9 · Waiting for confirmation
16%
Scores are 1-10. Policy measures support and durability; trend references internal trend framework and U.S. risk appetite; valuation reflects margin of safety; quality reflects earnings, cash flow, and leadership.
Company Watchlist
Six-Theme Company Watchlist
Companies are ranked by market capitalization, approximate 10-year price appreciation, historical drawdown, and fundamental quality. For research tracking only.
Approximate research data for 2016.05-2026.05. Market cap is estimated in USD; 10-year return is price-based; max drawdown measures peak-to-trough loss over the sample. Companies with shorter histories are marked accordingly.
Model Portfolio
Policy Alpha Model Portfolio Allocation
A model allocation designed around a blue-chip core, policy-driven growth sleeves, U.S. market exposure as a risk barometer, and cash/T-bills for optionality.
01Core Blue-Chip Sleeve
30%
High-quality leaders across technology, staples, financials, and industrials anchor portfolio stability.
- Representative Names
- BRK.B, MSFT, COST, JPM
- Entry Trigger
- Fair valuation and price reclaiming the internal long-term trend band
- Cut Trigger
- Fundamental deterioration or single-name weight above 15%
02Policy Growth Sleeve
25%
Innovation tech, EVs, AI compute, and advanced manufacturing provide policy-linked upside.
- Representative Names
- NVDA, TSM, TSLA, BYD, AVGO
- Entry Trigger
- Policy catalyst plus improving index-level risk appetite
- Cut Trigger
- Valuation exhaustion, trend break, or policy thesis failure
03Lithium & Resource Cycle
10%
Lithium, battery metals, and diversified miners add upstream cyclicality to the energy transition book.
- Representative Names
- ALB, SQM, RIO, BHP, PLS.AX
- Entry Trigger
- Commodity prices stabilize and inventory cycle turns from destocking to restocking
- Cut Trigger
- Falling lithium prices, supply release, or breach of drawdown discipline
04Healthcare Defense
10%
Pharma, devices, and health services offset volatility from high-beta growth sleeves.
- Representative Names
- LLY, NVO, UNH, JNJ, TMO
- Entry Trigger
- Market volatility rises while healthcare fundamentals remain resilient
- Cut Trigger
- Drug policy risk or deceleration in core products
05U.S. Market Exposure
15%
S&P 500, Nasdaq 100, and related ETFs act as the portfolio's risk-appetite benchmark.
- Representative Names
- SPY, VOO, QQQ, IWM
- Entry Trigger
- S&P and Nasdaq pass the internal market-structure filter
- Cut Trigger
- Rising rates, tighter dollar liquidity, or index breakdown
06Cash & T-Bill Buffer
10%
Dry powder for trend breaks, policy waiting periods, and staged re-entry after drawdowns.
- Representative Names
- BIL, SGOV, money-market funds, cash
- Entry Trigger
- Equity exposure overheats or model shifts to Risk Off
- Cut Trigger
- High-quality assets become undervalued and trend confirms
Risk On
When U.S. indices reclaim key averages and policy themes broaden, equity exposure can rise to 85%-90%.
Neutral
In range-bound markets, keep 70%-80% equity exposure and size cyclical/high-beta positions conservatively.
Risk Off
When key indices fail the internal market-structure filter, reduce equity exposure to 45%-60% and increase cash/T-bill and defensive sleeves.
Model allocation for personal research only. Not a fund prospectus, asset management service, investment advice, or return guarantee.
Value Optimized Portfolio
Value-Oriented Optimization Model
The objective is not to chase the highest past winners. It is to combine moats, cash flow, dividends or buybacks, and risk-adjusted constraints over an approximate 10-year sample.
Asset
Weight
Role
Berkshire Hathaway · BRK.B
15%
Value core, insurance float, long-term capital allocation
Microsoft · MSFT
14%
High-quality cash flow, enterprise software, cloud platform
Costco · COST
10%
Membership retail moat and resilient demand
JPMorgan Chase · JPM
9%
Banking leader, rate-cycle leverage, dividends and buybacks
UnitedHealth · UNH
9%
Healthcare services platform with defensive growth
Visa · V
8%
Payment network, asset-light high-margin model
Exxon Mobil · XOM
7%
Energy cash flow, inflation and resource-cycle hedge
Procter & Gamble · PG
7%
Staples, brand pricing power, defensive sleeve
Johnson & Johnson · JNJ
6%
Healthcare blue chip, lower-volatility dividend asset
Home Depot · HD
5%
Home improvement leader tied to maintenance demand
Coca-Cola · KO
5%
Global brand with stable cash flow and dividends
Cash / T-Bills · BIL or money-market funds
5%
Drawdown buffer and dry powder for undervaluation plus trend confirmation
Biased toward quality value and cash-flow assets; return comes from compounding, not short-term trading.
Lower than a pure growth book, but still equity-like risk.
When indices break the internal long-term trend model, reduce high-valuation and cyclical exposure first.
Review valuation and fundamentals quarterly; rebalance when a single name deviates materially from target.
Risk Control
Control Drawdown Before Seeking Upside
Risk management is treated as a portfolio operating system: exposure is reduced mechanically when drawdown, trend, or thesis risk breaches pre-defined thresholds.
Sector Cap30%Policy-growth sleeves combined
Single-Name Cap15%Above this enters rebalance review
Review Trigger-12%Pause adds and reassess exposure
Capital Defense-20%Reduce equity to 45%-60%
Risk Action Matrix
Trigger
Action
Target Exposure
Before Entry
Document thesis, target weight, stop level, and review date
No chase
Portfolio -12%
Pause adds; reduce high-beta and weak-trend exposure first
Equity 65%-75%
Index Breaks Internal Trend Band
Reduce policy growth and resource cycle; keep blue-chip core
Equity 45%-60%
Policy or Fundamental Failure
Exit the affected theme; do not average down mechanically
Theme to zero
Trend Reconfirmed
Add back in three tranches: blue chips, growth, then cyclicals
Equity 80%-90%
Disclaimer
This website is for personal investment research, market observation, and methodology presentation only. It does not constitute investment advice, fund solicitation, private offering, discretionary management, return guarantee, or an offer to buy or sell any financial product.
Markets involve risk. Historical performance, model signals, policy analysis, and sector views do not indicate future results. Visitors should make independent decisions based on their own financial circumstances and consult licensed professionals where appropriate.