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Price Adjustment Curve (PAC)

The Price Adjustment Curve (PAC) enables clients to create a corporate action adjustment time series for frequently traded North American equities. PAC can enhance the way to adjust tick-level prices using corporate action factors on a historical basis. This allows investment teams to provide more accurate price input for multi-day strategies and comprehensive performance analysis. Contact us to learn more or to receive trial access.

Specifications

Delivery Format

Delivery Format

  • JSON
  • Hive Tables
Delivery Channels

Delivery Channels

  • API
  • Cloud (TMX Investments Analytics Workbench)
  • Google Workspace Marketplace (available Q1 2025)
Coverage

Coverage

  • 5,000 US & Canadian equities
Frequency

Frequency

  • Daily (T+1)
History

History

  • 5 years
Corporate Action Factors

Corporate Action Factors

  • Dividends
  • Stock Splits

Use Cases

Accurate Price Input for Multi-day Strategies

By incorporating corporate action effects in the prices, PAC provides superior quality output in statistical models, option pricing, and streamlining backtesting. This is essential for strategies like Moving Volume Weighted Average Price (MVWAP) or Equity Curve Trading.

A key differentiator of PAC is the ability to access adjusted quotes and trade prices at different time intervals and granularity, providing clients with increased flexibility in choosing trading strategies.

Comprehensive Performance Measurement

In addition to tick data adjustment, PAC can be applied from market open to the end of the trading day. Calculating the equity curve is one of the most important steps in backtesting strategies – accessing a clean and accurate adjustment factor time series will help streamline the process.

Portfolio managers can measure portfolio performance using PAC with higher accuracy. Accessing the details of the corporate action in the dataset can help data scientists and quantitative strategists measure the effect of each action on their return structure.

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We offer substantial expertise to help you meet your Analytics data needs. Contact a member of our TMX Analytics team to see how we can help.