Law of One Price in Arbitrage Free Markets
The Law of One Price (LOP) states that identical assets or securities must trade at the same price across all markets when adjusted for costs and currency differences. This fundamental principle underpins modern financial theory and forms the basis for arbitrage-free pricing models. When price discrepancies occur, arbitrage opportunities emerge that, when exploited, help restore price consistency.
Mathematical foundation
The Law of One Price can be expressed mathematically for two identical assets and trading in different markets:
Where:
- is the price of asset A
- is the price of asset B
- represents transaction costs, including currency conversion if applicable
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Arbitrage mechanism and price convergence
When the Law of One Price is violated, arbitrageurs can profit by:
- Buying the asset in the cheaper market
- Simultaneously selling in the more expensive market
- Capturing the price differential minus costs
This arbitrage activity creates:
- Buying pressure in the lower-priced market, pushing prices up
- Selling pressure in the higher-priced market, pushing prices down
The process continues until prices converge to equilibrium, minus transaction costs.
Next generation time-series database
QuestDB is an open-source time-series database optimized for market and heavy industry data. Built from scratch in Java and C++, it offers high-throughput ingestion and fast SQL queries with time-series extensions.
Applications in modern markets
Cross-exchange trading
The Law of One Price is particularly relevant for high-frequency trading strategies that exploit brief price discrepancies across exchanges. These strategies often employ ultra-low latency data feeds to identify and capture arbitrage opportunities.
Derivatives pricing
The principle is fundamental to derivatives pricing, where:
- Options on the same underlying with identical strikes and expiries should have consistent prices
- Futures contracts should align with spot prices plus carrying costs
- Put-call parity relationships must hold to prevent arbitrage
Market efficiency indicators
Persistent violations of the Law of One Price may indicate:
- Market inefficiencies
- Structural barriers to arbitrage
- Liquidity constraints
- Regulatory restrictions
Next generation time-series database
QuestDB is an open-source time-series database optimized for market and heavy industry data. Built from scratch in Java and C++, it offers high-throughput ingestion and fast SQL queries with time-series extensions.
Limitations and real-world considerations
Transaction costs
Real-world implementation must account for:
- Trading fees
- Bid-ask spreads
- Clearing costs
- Market impact costs
Market frictions
Several factors can prevent perfect arbitrage:
- Latency between markets
- Capital constraints
- Short-selling restrictions
- Different trading hours across markets
- Regulatory barriers
Risk considerations
Arbitrage strategies based on the Law of One Price face:
- Execution risk
- Counterparty risk
- Technology risk
- Regulatory risk
Market structure implications
The Law of One Price influences:
- Market fragmentation and consolidation
- Development of smart order routing systems
- Cross-border trading infrastructure
- Market making strategies
Modern electronic markets have increased the efficiency of arbitrage mechanisms, making prices converge faster and reducing the magnitude of discrepancies. This has led to more sophisticated arbitrage strategies and enhanced market efficiency.
Role in financial theory
The Law of One Price is central to:
- Asset pricing models
- Portfolio theory
- Risk-neutral pricing frameworks
- Market efficiency concepts
It provides a theoretical foundation for understanding how prices should behave in efficient markets and helps identify potential market inefficiencies when violations occur.