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Regulatory Data | Regulatory and Tax Reference

Financial Transaction Tax

Tax and regulatory reference dataset supporting stamp duty assessment and related compliance processes.

Key facts for Financial Transaction Tax

Coverage metric

Geography:
EMEA
History:
Coverage began in 2018 from 2018
Coverage count:
Asset Classes - 2,500,000 Instruments
Asset Class
Bond & STIR Futures & Options, Commodity Spots, Bond Repos, Bonds, Reverse Convertibles, Mortgage-Backed Securities, Depository Receipts, Equity Derivatives, Synthetic Instruments (AssetClass), Preference Shares, Warrants, Mini Futures (AssetClass), Units, Futures, Fixed Income, Rights, Extended Settlement Contracts, Commodity Fair Values, Default Swaps, Credit Derivatives, Commodity Forwards, Forward Rate Agreements / Fixings / Spreads (AssetClass), Other Equities (AssetClass), Contracts for Difference, Spreads, Swaps, Caps / Floors, Ordinary Shares, Depositary Shares, Company Warrants, Asset-Linked Securities, Commodities, Equities, Loans, Single Period Swaps / Fixings (AssetClass), Interest Rate Derivatives, Investment Certificates, Swaptions, Company Options, Participation Shares, Securitised Products, Derivatives, Commodity Derivatives, Options, Exchange-Traded Vehicles, Commodity Strips, Bond Spreads

Delivery metadata

Data Frequency
Irregular
Language
English
Delivery methods:
Excel, Deployed/Onsite Servers, API, Web Service, SFTP, Cloud, Desktop, FTP, Bulk, Website
Data formats:
CSV, GZIP, JSON, Delimited, Text, Bitmap, PCAP, Zip Archive, PDF, XML, Python, HTML, MPEG, User Interface
Minimum service frequency
Irregular

Overview of Financial Transaction Tax

REGULATORY TAX REFERENCE DATA

Financial Transaction Tax Coverage

  1. Tax reference data covering 2.5M financial instruments
  2. Includes rates, thresholds, exemptions and effective dates
  3. Supports equities, fixed income and derivatives transactions
STANDARDISED ACROSS TAX REGIMES

Built for Trade Processing and Oversight

  1. Aligns transaction data with jurisdiction-specific tax rules.
  2. Supports settlement, reporting and liability calculations.
  3. Maintains structured tax logic for operational consistency.
REDUCE TAX COMPLIANCE COMPLEXITY

Navigate Cross-Border Tax Obligations

  1. Determine applicable transaction taxes across jurisdictions.
  2. Improve consistency in tax assessment and reporting.
  3. Support compliance, operations and cost analysis workflows.

Description of the dataset

  • LSEG curates transaction-based stamp duty reference data across financial instruments and jurisdictions. We help tax, compliance and operations teams determine stamp duty obligations at trade and post-trade stages.
  • Our content captures applicable rates, calculation bases, exemptions, thresholds and effective dates for equity, fixed income and derivative transactions. We standardize local rules into a consistent schema so customers can evaluate tax liabilities with greater operational precision.
  • We support integration of stamp duty logic into trade processing, settlement, reporting and cost analysis workflows. LSEG enables customers to align transaction data with jurisdiction-specific requirements and rule changes.
  • Our regulatory and tax reference framework helps firms reduce manual interpretation and improve governance around transaction taxes. We provide structured inputs that support consistent compliance oversight and transparent liability calculation.

Accessing the dataset

This dataset can be used by the following products. Talk to us to learn more about different packages and offerings.

Tick History

Historical tick data service providing intraday trades, quotes and market-depth data dating back to 1996. Covering OTC and exchange-traded instruments across hundreds of global venues, Tick History delivers cleaned, structured and normalised data using RIC symbology and LSEG's data model to support consistent analysis across workflows. Access historical market data via web applications, APIs, cloud-based query services or scalable file delivery, with support for on-premises, cloud and hybrid deployment models.