David Berry

Market Data, Exchange, Commissions Global Sourcing CIQ
IPUG , COSSIOM, FISD Exec Committee

Check out the incredible speaker line-up to see who will be joining David.

Download The Latest Agenda

Embracing The New Fixed Income World

Sunday, January 10th, 2016

14:00 Synergy Workshop: Interdealer Brokers- What value can an IDB bring in new fixed income markets? (Limited to a maximum of 25 buy side participants)

This senior level workshop on Interdealer Brokers (IDB) will provide an excellent opportunity for you to drill down on how to best work with IDBs going forward. This workshop will be limited to 25 buy side participants for maximum interaction and will be led by a leading global IDB. Join this interactive workshop to learn:

How are IDBs adapting to the changing role of buy side and sell side market participants?
How are IDBs adapting their internal infrastructure as certain fixed income markets become more electronic?
With the diminished role of the sell side, are IDBs set to become more vital for fixed income trading?
How can you ensure you reap the full benefits from the services offered by an IDB?

Exploring Next Generation Fixed Income Trading

Wednesday, February 10th, 2016

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?