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FX Arbitrage & Cross Currency Basis
AlgoQuantHub Weekly Deep Dive

Welcome
Welcome to AlgoQuantHub’s Weekly Deep Dive into Algo Trading & Quant Research!
AlgoQuantHub includes the latest hands-on quant tutorials, videos and research, helping you bridge the gap between theory and real-world quant practice. All delivered by this newsletter! Each week I will deliver a targeted deep dive into a feature topic.
Last week for our market’s article we discussed the impact of Trump’s ‘Big Beautiful Bill’ and ratings downgrades on US Bond markets and for our technical article we looked at the Bond Total Return swaps as a tool to maximize profits and minimize cost i.e. increase leverage and reduce capital costs using margin.
This weeks’ feature article looks at FX arbitrage and the persistent cross-currency basis and why Covered Interest Rate Parity (CIP) breaks down. We also provide many links to detailed market research on this topic
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Table of Contents
Feature Article - FX Arbitrage and the Persistent Cross-Currency Basis
In global FX and rates markets, traders and quant desks have long relied on the principle of Covered Interest Rate Parity (CIP) to price forwards and cross-currency swaps. CIP states that, in efficient markets, the difference between interest rates in two currencies should be exactly offset by the forward FX rate, leaving no room for arbitrage. This is a foundational concept for banks, hedge funds, and corporates managing currency risk, and the formula is:
F = S × ( 1 + Rf ) / ( 1 + Rd )
Where:
F = forward exchange rate
S = spot exchange rate
Rf = foreign interest rate
Rd = domestic interest rate
Example:
Suppose EUR/USD spot is 1.10, USD rates are 5%, and EUR rates are 3%. CIP predicts a forward rate of:
F=1.10 × 1.03 / 1.05 ≈ 1.08
In theory, this means no arbitrage: borrowing in EUR, swapping to USD, and investing at the USD rate should yield the same as simply investing in EUR.
But in practice, the cross-currency basis—the gap between the observed forward rate and the CIP-implied rate—often persists and can be significant.
Why? Regulatory costs, balance sheet constraints, and uneven access to funding (especially in USD) mean arbitrage is not frictionless. For example, if the EUR/USD basis is -40bps, borrowing USD via a swap is 40bps more expensive than CIP predicts. This is not just a quirk: it’s a signal of real funding stress and market segmentation.
Trading and Arbitrage Opportunities:
Basis Arbitrage: When the market basis deviates from theoretical, traders can structure offsetting positions to capture the spread—borrowing in the cheap currency, swapping, and investing in the expensive one. In reality, exploiting these gaps requires scale, access to balance sheet, and careful risk management.
Relative Value Trades: Traders can take views on the shape of the basis curve (e.g., 1Y vs. 5Y EUR/USD basis) or between different currency pairs (EUR/USD vs. GBP/USD), expressing macro or liquidity views.
Macro Plays: Anticipating central bank interventions or shifts in liquidity, traders can position for basis tightening or widening, especially around stress events or policy changes.
Risk Management: Hedgers and prop desks use derivatives, cross-currency swaps, and now exchange-traded basis futures to manage exposure, diversify, and hedge basis risk.
Takeaway:
The cross-currency basis is not just a theoretical anomaly—it’s a real, tradeable signal of global funding pressures and market segmentation. For traders, understanding the drivers and dynamics of the basis opens up a range of arbitrage and relative value opportunities, but also demands robust risk management and market access.

Synthetic Forward FX
In the article Synthetic Forward FX Replication & Collateralized Discount Factors we provide a comprehensive framework for pricing cross-currency swaps and outline the procedure to calculate discount factors that are adjusted for the type of collateral posted. The paper first revisits the interest parity formula, then adapts it for Xccy pricing to derive the forward FX invariance formula. It further explains how to calibrate USD-collateralized discount factors using Xccy swap market data and extends the approach to non-USD collateralized scenarios using forward FX or Xccy swap inputs.
This methodology is highly relevant for identifying FX arbitrage opportunities—particularly those involving cross currency basis trading—because it enables practitioners to accurately compute the theoretical fair value of forward FX rates under various collateral agreements. By comparing these synthetic forward rates to observed market prices, traders and quantitative analysts can systematically detect and quantify arbitrage opportunities arising from deviations in the cross currency basis, thus supporting more robust and transparent FX arbitrage strategies
Click on the image(s) below for more info!
Futher Reading
CME Group: How U.S.-EU Relations Could Impact the Cross Currency Basis
Number Analytics: The Final Guide to Cross Currency Basis Explained
Number Analytics: A Quick Guide to Cross Currency Basis Simplified
Clarus FT: Cross Currency Swaps Review 2024
AlphaPicks: Global Primer Series: Cross Currency Basis
CME Group: Understanding EUR/USD Cross-Currency Basis Futures
Frontier Advisors: Cross currency basis swaps
Feature Video - Interest Rate Swaps Explained
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Whether you're a finance professional, a student, or simply curious about the mechanics behind modern financial markets, understanding interest rate swaps is essential. Swap transactions are embedded in most mortgages, personal- and corporate loans. Banks and lenders manage the swap transaction and pass on the transaction costs.
In this video, we break down the concept of interest rate swaps—one of the most widely used derivatives in the world—into clear, accessible terms. You'll discover how these contracts allow two parties to exchange fixed and floating interest payments, why institutions use them to hedge risk or reduce borrowing costs, and how swaps are structured and valued in practice. Join us as we demystify the mechanics, motivations, and real-world applications of interest rate swaps, equipping you with the knowledge to navigate this critical area of finance with confidence.
Feature Download - Interest Rate Markets Training Bundle
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This week we feature the Interest Rate Markets Training Bundle, which contains Excel workbooks, PowerPoint and PDF training materials for interest rate markets including the following,
IR Markets Overview
Interest Rate Swaps
Cross Currency Swaps
Credit Default Swaps
Quanto Credit Default Swaps
This comprehensive training bundle covers the fundamentals of interest rate markets and provides step-by-step guidance on pricing key instruments, including interest rate swaps (IRS), cross-currency swaps (XCCY), credit default swaps (CDS), and quanto CDS.
Feature Book - Algorithmic Trading, Winning Strategies and their Rationale
Ernest P. Chan’s Algorithmic Trading: Winning Strategies and Their Rationale offers a practical guide to developing systematic trading strategies, focusing primarily on mean reversion and momentum approaches. The book covers the entire workflow of quantitative trading—from identifying viable strategies and rigorous backtesting to setting up automated execution systems and managing risk. Chan explains the rationale behind each strategy, demonstrates how to test and refine them, and addresses real-world implementation issues, supported by clear examples and MATLAB code.
Structured to reflect the steps needed to build a quantitative trading business, the book also delves into advanced topics such as regime switching, factor models, and psychological aspects of trading. Its emphasis on simple, robust strategies grounded in the scientific method makes it especially useful for quants and practitioners who want to understand not just what works, but why it works, and how to adapt strategies to changing market conditions.
Click on the image below for more info!
Useful Links
Quant Research
Links to my Quant Research
SSRN Research Papers
https://ssrn.com/author=1728976
GitHub Quant Research
https://github.com/nburgessx/QuantResearch
Learn about Financial Markets
Linked to learning resources for Financial Markets
Subscribe to my Quant YouTube Channel
https://youtube.com/@AlgoQuantHub
Algorithmic Trading & Quant Research Hub
https://payhip.com/AlgoQuantHub
Follow me on Linked-In
https://www.linkedin.com/in/nburgessx/
Explore my Quant Website
https://nicholasburgess.co.uk/
Read my Quant Book - Low Latency IR Markets
https://github.com/nburgessx/SwapsBook
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