View the Latest Edition of Fixed Income Leaders Summit 2016 Here >>
Fixed Income Leaders Summit 2015 (past event)
13 - 15 October, 2015
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Yann Couellan
Head of Fixed Income Execution
AXA Investment Management
Check out the incredible speaker line-up to see who will be joining Yann.
Download The Latest AgendaExploring Next Generation Fixed Income Trading
Wednesday, February 10th, 2016
11:00 360° Perspective: The TCA evolution- Are we moving closer to an ideal fixed income market model?
Transaction Cost Analysis (TCA) is traditionally a form of technology actively used across equities and FX asset classes. However, over recent years, both buy side firms and technology suppliers have developed fixed income TCA to help significantly improve their trading activities and measure best execution. Attend this market leading panel where you will gain insights on:
- Should there be a single methodology for fixed income TCA?
- What are the key demands of fixed income TCA?
- What are the implementation policies and costs to make bespoke TCA for fixed income?
- How can you use TCA to find market liquidity where others will not?
- How can you utilise your TCA to take advantage of new ways of trading?
14:00 Fireside Chat: How can you exploit innovation in big data analytics to make more informed trading decisions?
Although various fixed income asset types may appear to be good investment targets, analysing the risks are key to overcome the many challenges provided with new investment strategies. Therefore, the correct and proper use of data and analytics is bearing increasing importance in fixed income markets. This panel will discuss how you can make sense of all your data, and where you can tap into new data sources to improve your investment strategies. Attend this session to find out:
- Data mining- How do you decide what data is relevant and what data you need to improve your fixed income trading capabilities?
- New data developments- How can you stimulate new market environments and validate investment strategies?
- What are the limitations of the right usage of data and how can you use this data to back up your trading strategies?
- How can you use your historical data to profile your partners by expertise, rating and sizes?