Day 1 - Wednesday 18th September 2019
Wednesday, September 18th, 2019
- What are currently the most commonly used trading protocols and how can you incorporate and utilise different workflows on the desk?
- Bringing different worlds together- How can you use technology to drive efficiency and leverage individual strengths of specialized pools and protocols?
- RIE, MTF, OTF, SI, Voice- Analysing the spectrum of trade paths, different types of venues and the interrelationship between each of these
- Establishing the best path to trade- How do each of the available protocols differ and what is best suited to different types of trade?
- New methods of finding liquidity- How are platforms and new entrants innovating to continue to offer new avenues of liquidity for the buy side?
In Asia, a region where fragmentation reigns — with a salad of disparate rules, fiscal priorities and benchmarks, plus differing levels of electronic-trading adoption and market maturity — the development of best execution is being driven by more than just compliance considerations. Here we look at the different ways that transaction-cost analysis (TCA), a key component of ensuring best execution, is being applied to help cut costs, retain clients, and streamline workflows across Asia.
- Harvesting data - How can you best collect, store and package data in a way that it is easily accessible for your traders?
- Pre-trade market data, post trade data and public data- How can you bring this all together to make more informed trading decisions?
- Audit trails - What data do you need to ensure you are meeting and proving your best execution requirements to regulators?
- Intelligent execution- How can you utilise new data sources and electronic trading data to decide your best execution path?
Day 2 - Thursday, September 19th 2019
Thursday, September 19th, 2019
Developed markets have had the benefit of using new technologies like AI and automation to increase liquidity, transparency and the ease and speed of trades over the past few years. During that time, EM has stayed the course with little technological advancement and over 70% of EM trades are still done by voice. This presentation will shed light on where technology is going in EM and what you can do to properly prepare and take advantage.
- The rise of artificial intelligence, smart learning and automation- What is the future of human involvement in the execution process?
- High touch vs. low touch - What can you automate across your fixed income desk and what needs to retain the human touch?
- Managing the intelligence of big data - How are the buy side adopting this to facilitate the rise of automated trading on their desk?
- Smart learning, machine learning, obtaining data, and having the control to do this automatically or not- How can this be achieved?
- Establishing a best execution policy around automation- How can you define a set of criteria for your low touch trading to allow your traders to focus on the high touch business?
- How do you recruit, train & retain the appropriate human talent to handle this challenge and instill the correct behavioral change in a buy side organisation?