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OUTTHINK COMPLEXITY AND TRADE FASTER WITH A MULTI-ASSET CLASS EXECUTION MANAGEMENT SYSTEM (EMS)

EXECUTE YOUR INVESTMENT DECISIONS WITH FACTSET’S MARKET-LEADING EMS.

 

Make informed decisions faster and trade at scale to maintain your competitive advantage. At FactSet, we combine the best in EMS with unique market insight to transform the way our clients analyze, communicate, and execute their investment decisions. Powered by Portware EMS, our trading solutions support critical decision making across equities, futures, options, foreign exchange, and fixed income offering unmatched levels of system performance, automation, and reliability.

 

WHY USE AN EMS FOR FIXED INCOME TRADING?

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PRE-TRADE

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TRADE

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POST-TRADE

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AUTOMATION

PRE-TRADE

  • Aggregate fragmented sources of liquidity and price
  • Drive pre-trade decision support based on current and historical data
  • Expand fixed-income analytics calculations and data feeds for a complete analysis

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TRADE

  • Integrate with incumbent, new, and regional specific trading venues
  • Enable direct broker connectivity
  • Access live and executable aggregated axes and runs

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POST-TRADE

  • Gain an understanding of execution quality, broker performance, and historical liquidity
  • View post-trade datasets to drive decision support and trade automation
  • Deliver historical data within the EMS to in-house analytics systems

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AUTOMATION

  • Automate low value-add tasks
  • Leverage aggregated data in a rules-based framework to systematically find and execute upon liquidity
  • Free up traders to work illiquid orders and high-touch block trades

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our solutions in action

“We worked with FactSet to develop strong fixed income trading capabilities which, when integrated with our internal decision-intelligence system, enable our teams to make fast, informed decisions, capture data, as well as track trade performance. This helps us achieve best execution for our global and diversified portfolio,” said Jeffrey Tan, Head of Global Trading at GIC.

Read the full press release

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