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PE 19-20: Module 5: Artificial Intelligence in Investing

Event Description

Artificial Intelligence in Investing

​8 and 15 september

Artificial Intelligence, currently the most disruptive technology in many sectors, has had relatively little impact on the investment management industry so far. Learn to be ahead of the curve as investment professional or as asset management firm manager.

Program 8 September, by Luiz Felix 

Applications of AI in investing: challenges, opportunities and a practical deep-dive

Taking a practitioner perspective, Luiz Felix explores the main application of artificial intelligence (AI) to investing: information filtering, forecasting and portfolio construction. He identifies examples of these usages and the important trade-offs between them. He provides a broad comparison of AI methods and their flexibility, complexity, explainability, and learning autonomy. He distinguishes, in a conceptual and accessible level, the two main types of learning methods used by AI: supervised and unsupervised learning. He touches upon the main challenges to applying AI methods to financial data and investments (i.e., time-series data, overfitting, lack of transparency and governance in AI-led investment processes) and advises how investment professionals and asset management firms could act to overcome these difficulties. Given that some powerful AI methods, such as deep learning, are black-boxes, he also identifies promising advances on the transparency of such opaque approaches. Lastly, he deep dives into a practical application of AI for investing where a machine learning technique is used in active management, unveiling one of the opportunities of applying this technology by asset managers.

Program 15 September, by Iman van Lelyveld

Implementing AI in practice: diving deeper and resurfacing

The promising approaches discussed in the first session need to be embedded in your organisation in order to reap the full benefits of these new technologies. This requires changes to (data) governance and the expertise of staff. After a brief exploration of the former we will then explore a supervised learning analysis using a Jupyter Notebook to get a better sense of how algorithms are developed and what expertise is needed. Furthermore, understanding the inner workings of algorithm development will allow for more fruitful interaction between quantitative experts and commercial roles. Then we will discuss what managers, society and regulators currently expect and require from AI approaches and how this might change going forward. For example, DNB has published a White Paper sketching out expectations (https://www.dnb.nl/nieuws/nieuwsoverzicht-en-archief/DNBulletin2019/dnb385020.jsp).

Speakers

Luiz Felix has worked in financial markets since 2001, starting his career as a fixed income portfolio manager in Brazil. In 2005, he joined ABN AMRO Asset Management in Amsterdam as a quantitative investment strategist. Since 2008 he works at the Asset Allocation & Overlay (AA&O) team of APG Asset Management. In AA&O Luiz has managed several derivative-based strategies, ranging from hedging and protection programs to systematic active strategies as well as a global macro hedge fund portfolio. He is the main designer of APG's tactical asset allocation (TAA) and the active FX mandates. Lately, his research focus on the application of artificial intelligence techniques to investing, leading him to develop natural language processing (NLP)- and deep learning-based investment strategies. He holds a PhD in Finance from VU Amsterdam and is a Chartered Financial Analyst and Certificate in Quantitative Finance charterholder. Luiz also consults for other pension funds and is the Advisory Board chairman of machineByte.

Iman van Lelyveld is Professor of Banking and Financial Markets at the Finance department of the Vrije Universiteit Amsterdam where he teaches a course 'Machine Learning for Finance'. He is also a Senior Policy Advisor at De Nederlandsche Bank (DNB). He is keen to use new data sources for solid data driven policy. At DNB he currently spearheads the Data Science Hub initiative. He has been involved in many regulatory policy issues covering amongst others, interest rate risk in the banking book, deposit guarantee pricing, and CVA charges and the BCBS Research Task Force. He has chaired several international groups, most recently on liquidity stress testing. He holds a PhD from Radboud University and has published widely on, amongst other topics, interbank networks and internal capital markets. Iman has worked for Deutsche Bank, the Bank of England, and the International Data Hub at the Bank for International Settlements.

Interested?

  • Everyone is welcome. To ensure a balanced interaction with the teacher and fellow students the number of course participants is limited to a maximum of 25.
  • The course material will be sent to you upon registration.  
  • During the course preparation instructors are supervised by an academic coordinator to ensure the quality of the courses is in accordance with the objectives of CFA Society VBA Netherlands.
  • You will receive a certificate of participation.

Terms and Conditions
Stichting VBA Opleidingsinstituut Morreau (Training Institute) is the education and training institute of CFA Society VBA Netherlands and as such organizes and executes the society's PE Modules. 

Registration and payment
Upon registration you will receive an invoice for the course fee, after which there is a 14 day period to change your mind. You will be informed immediately if the course is fully booked. You can cancel your registration without cost up to four weeks before the start. After four weeks the course will be charged in full.

Changes and cancellation
The Training Institute reserves the right to make changes (including the content, format, instructors, course material, date, time and location) in the announced courses and / or to cancel the announced courses without providing a reason. The Training Institute mandates a minimum number of 10 participants. In case of cancellation full refund will take place. Refunds will be processed within 14 days. The Training Institute is never liable for lost student income.

Ownership and confidentiality
The Training Institute holds the property rights for course materials. The Training Institute declares that all information provided by students is treated as confidential by the Training Institute, its employees and the lecturers.

Event Type

Society; Featured

Education Topic

 

Start Time

8-9-2020 13:30

End Time

15-9-2020 17:30

City

Amsterdam

State/Province

 

Event Country

The Netherlands

Event Region

EMEA

Location Info

Hotel Casa Amsterdam ​
Eerste Ringdijkstraat 4
1097 BC Amsterdam​

Speaker

Luiz Felix and Iman van Lelyveld

CE Credits

8

SER Credit

n/a

Currency

EUR

Member Price

500

Non-Member Price

900 en voor partners 600

Candidate Price

600

Registration

Presentations

 

All Day Event

 

Recurrence

 

Event Link

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Event Link Leads To New Tab

Yes

Event Short Info

PE 19-20: Module 5: <b>Artificial Intelligence in Investing</b> with Luiz Felix and Iman van Lelyveld

Attachments

Content Type: MyCFA Custom Calendar
Created at 8-11-2019 12:51 by irma.willemsen@cfavba.nl[CASMSTS:username]
Last modified at 21-8-2020 04:46 by irma.willemsen@cfavba.nl[CASMSTS:username]