Freight Rates & Stock Prices
Research project exploring the relationship between spot freight rates and shipping stock valuations. Do freight rates explain stock prices?
The Question
Shipping stocks are notoriously volatile. VLCC rates can double in a month, and tanker stocks often follow—or do they?
The conventional wisdom is that freight rates drive shipping stock prices. But the relationship is more complex:
- Expectations matter: Stocks price in future rates, not just current ones
- Time charter coverage: Companies with fixed contracts are less sensitive to spot rates
- Asset values: Vessel prices create a floor for stock valuations
- Management: Capital allocation decisions affect how rates flow to shareholders
I want to quantify these relationships. Specifically:
- How much of shipping stock variance is explained by freight rates?
- Which rate indices best predict stock movements?
- How do time lags affect the relationship?
- Does the relationship change across market cycles?
Approach
This is a data-heavy research project. The plan:
Phase 1: Data Collection
Gather historical data for:
- Spot freight rates (VLCC, Suezmax, Aframax for tankers; Capesize, Panamax, Supramax for dry bulk)
- Stock prices for major public shipping companies
- Time charter rates and forward curves
- Vessel asset values from broker reports
Phase 2: Statistical Analysis
Apply standard financial econometrics:
- Correlation analysis across different time windows
- Regression models with various rate indices
- Granger causality tests
- Cointegration analysis (similar to the pairs trading work)
Phase 3: Findings
Document what works and what doesn't. The goal isn't to prove a particular thesis—it's to understand the relationship and its limitations.
Why This Matters
If freight rates don't fully explain stock prices, what else does? Understanding the gaps could inform:
- Better valuation models for shipping stocks
- More nuanced trading strategies
- Improved risk management for shipping investors
Current Status
This project is in the early research phase. I'm currently:
- Sourcing freight rate data (Clarksons Research is the gold standard but expensive)
- Building a database schema for the analysis
- Reviewing academic literature on commodity-equity relationships
Updates will be posted as the research progresses. If you're working on similar questions or have data sources to suggest, I'd love to hear from you.
Features
- Data Collection
Gathering historical freight rate data from Clarksons, Baltic Exchange
- Statistical Analysis
Regression analysis, Granger causality testing
- Visualization
Interactive charts showing rate-price relationships
- Research Paper
Document findings and methodology