In 2020, FactSet is excited to bring back our signature event series, the Buy-Side Forum, to Asia. Kicking off our tour is Hong Kong taking place on March 5. Join your peers, industry leaders, and FactSet's experts for our most thought-leading agenda yet. Have the chance to hear from some of the best minds in the industry on key topics influencing the investment world from machine learning and AI to the continued force of digitalization to advances in risk management... to name a few! Be sure to save your place at this sought-after event. Spaces are limited!
Registration and Refreshments
Panel | 360° Technology: From Challenge to Opportunity
Moderator: Jame DiBiasio, DigFin Group
Gene Fernandez, FactSet
More panelists to be announced.
It's no news that technology is playing a leading role in driving business strategy for financial institutions. With the aim to perceive emerging risks and anticipate disruption, many firms are already investing in new tools and solutions, and most have a long-term plan for technological innovation in place throughout their business. But what does it really take to succeed in this rapidly changing environment? What are the trending drivers in technology that will influence businesses in 2020 and beyond? What does adoption look like today and what are the benefits and implications of adopting any new technologies? During this panel, we get the expert perspective as we aim to find answers to these important questions and more.
Accessing the Future: Empowering Tomorrow’s Financial Analyst
Speaker: Kate Stepp, FactSet
Personalized, actionable content insights, advanced idea generation, an enhanced research process and improved efficiency through an open environment and automated workflows. Sounds like an Analyst’s dream, doesn’t it? But the future has already arrived. The financial professional of tomorrow has access to technology and solutions that are quick, robust, agile and live in an open environment. Do you have all the insight you need to leverage today`s, and tomorrow’s, technology to accelerate workflows and boost your efficiency? Access the future today and uncover how to benefit from innovative solutions now.
Speaker: Greg King, FactSet
Session Summary coming soon.
Networking Buffet Lunch
Data Governance and Distribution
Speaker: Andrew Kovacs, FactSet
Session Summary coming soon.
From Challenges to Strategies: Multi-Asset Class & Enterprise Risk Modeling in Asia
Speaker: Ivan Mitov, FactSet
The multi-asset landscape has exploded in recent years with an overwhelming range of strategies and approaches now available to investors. New strategies, new technologies, new workflows also mean – new risks. So more than ever, financial institutions need to keep a close eye on the threats that can have real impacts on financial performance across the enterprise. But how stay on top while synthesizing strategies and risks in a compelling and easy-to-understand way? And what are the most trending, yet challenging tactics we should be looking at in 2020 and beyond? Join Ivan Mitov, as he takes a closer look at two of the most prominent challenges we see particularly in Asia: The rising proportion of Private Equity investments and, The opening of Chinese markets. Take a look at solutions, showcasing how to utilize a Private Equity Risk Model and Equity/Credit Models to capture the nuances of the Chinese market.
Applying Automated Machine Learning in Asset Management
Speaker: Ian Hissey, FactSet
In his presentation, Ian will provide an introduction to automated machine learning and the types of problems it can be used on in asset management. Ian will then focus on a case study comparing a set of machine learning models against more traditional quant factors and their ability to predict Alpha. Ian will discuss the pitfalls he came across in using machine learning models for this type of application.
Panel | At the Bottom Line: Where are we really with the adoption of AI & ML?
Moderator: Ian Hissey, FactSet
Speaker: Speaker to be announced soon.
With the growth and development of artificial intelligence, the use of data and machine learning in finance has become more than just a trending topic. But how does this so called “Evolution” of quant investing really look like? What’s the role of AI and ML today, and besides discovering these emerging technologies, do they become an enabler or a headache when we look at the reality?