Nomura Identifies Equity and USD as Current Dominant FX Themes

Overview

This report, published by Nomura Singapore’s research team, introduces a quantitative analytical framework to identify short- and long-term FX themes. It focuses on five potential FX drivers: commodities, oil, carry trades, equity linkages, and USD movements. Dominant themes are determined by consistency in FX returns relative to the theme and alignment with benchmark performance. Current short-term signals indicate clearer dominance of equity-sensitive and USD-sensitive currency themes, whereas signals for commodities, oil, and carry trades remain ambiguous.

Core views

Theme Identification Framework: The report proposes classifying FX into five thematic categories, using two core criteria to determine dominant themes: (1) consistency between FX returns and the theme, and (2) alignment of currency performance with its benchmark. When multiple themes coexist, they are ranked by risk-adjusted returns of their respective currency baskets. Current Signal Status: Short-term signals (3/5/7 days) show higher probabilities for 'Equity' (equity-sensitive) and 'Dollar' (USD-sensitive) themes, while commodity, oil, and carry-trade signals are labeled 'Unclear.' Long-term signals (5/10/22 days) show FX benefiting from high commodity prices delivered a 3.7% return over 22 days, FX linked to high oil prices returned 3.9% over the same period, while high-carry FX posted a -0.3% return over 10 days. Historical Signal Tracking: Short-term signal records over the past month (March 24 to May 6) show frequent appearances of equity and USD themes, with dual-theme occurrences common in mid-to-late April, and a rare instance of four concurrent themes observed in early May.

Analysis framework

The report employs a quantitative signal analysis methodology. It first defines currency baskets corresponding to each of the five FX themes, then calculates basket returns across different time windows (short-term: 3/5/7 days; long-term: 5/10/22 days). Dominant themes are identified through statistical consistency in returns and correlation with benchmarks. When multiple themes coexist, priority is assigned based on risk-adjusted returns. This approach helps investors systematically capture structural drivers in FX markets.

Methodology notes

• Industry/Sector Analysis Framework

  FX Theme Identification Framework

  Categorizes FX movements into five driving themes (commodities, oil, carry trade, equities, USD) and validates theme effectiveness through return consistency, helping investors understand the dominant logic behind exchange rate fluctuations.

• Quantitative/Factor/Portfolio TheoryMulti-factor model

  Risk-Adjusted Return Ranking

  When multiple thematic signals coexist, themes are ranked by the risk-adjusted returns of their corresponding currency baskets, prioritizing those offering superior risk-adjusted performance to avoid chasing high returns without considering volatility risk.

• Cycle and Sentiment Framework

  Multi-Timeframe Signal Analysis

  Tracks both short-term (3–7 days) and medium-to-long-term (5–22 days) signals to distinguish tactical trading opportunities from strategic trends—short-term signals suit tactical allocation, while long-term signals guide strategic positioning.

Key data

• FX Benefiting from High Commodities (22-Day)3.7%One of the best-performing themes over the long-term horizon
• FX Benefiting from High Oil Prices (22-Day)3.9%Best-performing theme over the long-term horizon
• High-Carry FX (10-Day)-0.3%Only theme showing negative returns
• Equity-Sensitive FX (22-Day)2.3%Stable positive returns over medium-to-long term
• USD-Sensitive FX (22-Day)1.2%Modest positive returns over medium-to-long term

Impact & implications

The report suggests this framework helps investors systematically identify dominant drivers in FX markets. In the current environment, attention should focus on equity-sensitive and USD-sensitive currencies. Long-term data shows that rising commodity and oil prices significantly benefit related currencies, while carry-trade strategies may face volatility risks over the medium term. Investors can adjust FX exposure based on evolving signal dynamics.

Risks

• Model is based on historical data; past performance does not guarantee future results
• Signals may change rapidly and require continuous monitoring
• Priority ranking among coexisting themes involves some subjectivity

What to watch

• When commodity and oil themes become clearly defined in short-term signals
• Whether the negative 10-day returns for high-carry FX persist
• Validation of the persistence of equity and USD theme signals