The Dollar as a Global Tightening Tool
How dollar strength transmits through global liquidity, commodity pricing, overseas earnings, and emerging markets.
Cross-asset research · Portfolio risk · Market structure
Signals across markets. Risk inside the portfolio.
Sales & Trading-focused research connecting policy, rates, currencies, commodities, and equity positioning to real portfolio risk.
OCT 07, 2026 CLOSES&P 500 7,801.77 −0.22%NASDAQ 27,538.69 −0.22%DOW 51,179.87 −0.66%RUSSELL 2000 2,793.20 −1.31%NVDA 237.47 −0.74%AAPL 336.67 +0.91%AVGO 376.51 +0.19%AMZN 259.92 +1.42%OCT 07, 2026 CLOSES&P 500 7,801.77 −0.22%NASDAQ 27,538.69 −0.22%DOW 51,179.87 −0.66%RUSSELL 2000 2,793.20 −1.31%NVDA 237.47 −0.74%AAPL 336.67 +0.91%AVGO 376.51 +0.19%AMZN 259.92 +1.42%
Interactive model 01
Portfolio & Hedge Lab
Change any position from long to short. The portfolio contribution, estimated shock response, and chart update instantly.
CLICK TO EXPLAIN
YTD return
42.67%
Gain since January 1, before hedging.
If $10,000 followed the model portfolio from the start of the year, a 42.67% return would imply approximately $14,267 before fees and taxes.
CLICK TO EXPLAIN
Annualized vol
25.26%
Estimated yearly variability of returns.
Volatility measures how widely returns move, not whether they move up or down. Higher volatility means a wider range of potential outcomes.
CLICK TO EXPLAIN
Beta vs SPY
1.47
Sensitivity to broad U.S. equities.
A beta of 1.47 means the portfolio historically moved about 1.47% for a 1% SPY move, on average and in the same direction.
CLICK TO EXPLAIN
Max drawdown
−14.08%
Worst peak-to-trough decline in 2026 YTD.
This is the largest historical loss from a prior portfolio high to the next low—not the loss on an average day.
CLICK TO EXPLAIN
95% daily VaR
2.26%
One-day downside threshold from history.
Based on the sample, roughly 95% of daily outcomes were better than a 2.26% loss. VaR does not estimate how severe the worst 5% could become.
POSITION BOOK
GROSS 100%
| Ticker | Role | Side | Weight | Shock | Contribution |
|---|
WHY THIS BOOK: 54% is allocated to high-conviction semiconductor names to express the AI and memory-cycle thesis; LLY, JPM, COST, and GLD diversify the remaining 46% across healthcare, financials, defensive consumption, and a macro hedge, with smaller weights where conviction or volatility-adjusted risk is lower.
MACRO REACTION
MULTI-FACTOR MIXER
OIL / USO
10Y YIELD
U.S. DOLLAR
INFLATION
VIX
Estimated portfolio return
−1.41%
Estimated P&L on $50,000: −$706
Positive contribution
Negative contribution
Interactive model 02
FOMC Scenario Lab
Test a hypothetical policy decision and communication tone. Reactions are directional scenario estimates—not forecasts.
POLICY SCENARIO
ASSUMPTION ENGINE
−25 BPS
MARKET SURPRISEDecision matches pricing; communication drives the second reaction.
CORRELATION EXPLORER
2026 YTD SAMPLE
DON’T KNOW A TICKER? LOOK IT UP
All searchable assets below can also be selected in the correlation menus.
VIX · VOLATILITY INDEX
CBOE Volatility Index
Expected 30-day S&P 500 volatility; often rises when equities fall.
INDEX
RISK GAUGE
+0.78
NVDA / SPY
Strong positive relationship
NVDA and SPY typically share equity-beta exposure.
Both respond to equity risk appetite, earnings expectations, and changes in discount rates; NVDA usually carries more technology and AI-cycle sensitivity.
−1.0 HEDGE0.0+1.0 SAME DIRECTION
60-session correlation of adjusted daily returns. Select two assets to explore their relationship and possible shared drivers.
Interactive model 03
Index Scenario Forecaster
Combine macro and geopolitical shocks, select a time horizon, and inspect the percentage contribution behind the projected path.
INDEX LEVEL + SCENARIO RANGES&P 500 · OCT 06 CLOSE
Recent pathBaselineScenario · hover points
CURRENT LEVEL7,818.93
SCENARIO LEVEL8,006.58
SCENARIO RETURN+2.40%
MODEL RANGE7,733 / 8,280
LEADING CATALYSTEarnings
EVENT SWITCHESTOGGLE TO REPRICE
Switch events on or off. Each event applies a different sensitivity to each index.
FORECAST HORIZON
Changes the time available for a shock to transmit.
Scenario output is a transparent sensitivity model, not a forecast or investment recommendation.
WHY THE FORECAST CHANGED3-MONTH SCENARIO
Earnings support is the leading catalyst
SCENARIO ASSUMPTIONS · NOT A PRICE TARGETPublished analysis
Research articles
Source-backed market research with explicit assumptions, citations, and links to the primary data behind each conclusion.
INSIDE THE MODELSA visual guide to the numbers behind the tools: Explore the methodology
The FOMC Reaction: Decision, Surprise, and the Rate Path
Separate the policy decision from what investors expected—and the outlook that markets priced next.
Hedging a Semiconductor-Heavy Portfolio
Why concentration is not the same as conviction—and how index, rates, credit, and gold hedges change residual risk.
KL
Researcher profile
Kevin Lu
BOSTON COLLEGE · CSOM · CLASS OF 2029
I am a Finance student at Boston College’s Carroll School of Management and a Division I fencer pursuing Sales & Trading. My work connects macro catalysts to price action, positioning, relative value, and practical hedge construction across equities, rates, and commodities.
MARKET MICROSTRUCTUREFICCEQUITY RISKPORTFOLIO HEDGING
PRIMARY INTEREST
Sales & Trading
RESEARCH STYLE
Cross-asset and scenario-driven
TOOLS
Excel · Market research · Portfolio analysis
CURRENT PROJECT
Retail Alpha & Hedge Lab