Sunday, 17 May 2020

12:00–7:00 p.m.

Registration

1:15–3:30 p.m.

The Research Foundation Workshop for the Practitioner

Pedro Matos
John G. Macfarlane Family Chair and Professor of Business Administration
University of Virginia, Darden School of Business

Meir Statman
Glenn Klimek Professor of Finance
Leavey School of Business, Santa Clara University

The Research Foundation Workshop for the Practitioner draws from the work supported by the CFA Institute Research Foundation to help participants enhance their practical investment knowledge, understand and apply new research, and contribute to effective client service. This is an optional, free workshop for delegates of the 73rd CFA Institute Annual Conference, pre-registration is not required.

Interactive Workshops

Interactive Workshops are interactive, small group sessions designed to develop practical skills. Space is limited and pre-registration is required.

1:15–2:45 p.m.

A Master Class on AI and Machine Learning for Financial Professionals (Repeat Session)

Sri Krishnamurthy, CFA
President
QuantUniversity

The use of data science and machine learning in the investment industry is increasing. Financial firms are using artificial intelligence (AI) and machine learning to augment traditional investment decision making.

In this workshop, we aim to bring clarity on how AI and machine learning are revolutionizing financial services. We will introduce key concepts and, through examples and case studies, will illustrate the role of machine learning, data science techniques, and AI in the investment industry.

Agenda:
In Part 1, we will discuss key trends in AI and machine learning in the financial services industry, including the key use cases, challenges, and best practices.

In Part 2, we will illustrate two case studies where AI and machine learning techniques are applied in financial services.

 Case studies: 

  1. Sentiment Analysis Using Natural Language Processing in Finance
    In this case study, we will demonstrate the use of natural language processing techniques to analyze EDGAR call earnings transcripts that could be used to generate sentiment analysis scores using the Amazon Comprehend, IBM Watson, Google, and Azure APIs (application programming interfaces). We will illustrate how these scores can be used to augment traditional quantitative research and for trading decisions.
  2. Credit Risk Decision Making Using Lending Club Data
    In this case study, we will use the Lending Club data set to build a credit risk model using machine learning techniques.

Note: Both case studies will use Python and cloud-based technologies, but Python/technical experience is not required to attend this workshop. Delegates are encouraged, but not required, to bring their laptop to follow along with demos and examples.

Who should attend:

  • Fundamental and quantitative analysts, investment professionals, and portfolio managers new to data science and machine learning
  • Financial professionals new to data-driven methodologies
  • Machine learning enthusiasts interested in use cases in fintech and financial organizations

Additional reading:

  1. “Speaking Data Science with an Investment Accent,” Cynthia Harrington, CFA Institute Magazine (21 December 2017)
  2. “Machine Learning: An Intuitive Foundation,” Sri Krishnamurthy(24 August 2016)

Note: This session is also offered Sunday, 17 May 2020 at 3:00pm. This Interactive Workshop has limited capacity and requires pre-registration.

1:15–2:45 p.m.

The Power of Mindfulness for Building Resilience and Overcoming Stress (Repeat Session)

Donald Altman
Author, Mindfulness Consultant, and Trainer

  • Discover the four building blocks of resilience: calm, clarity, optimism, and happiness.
  • One-minute mindful breathing and other tools to reduce stress
  • Create mental habits that promote optimism and problem solving.
  • Gratitude—your powerful tool for building resilience and enhancing relationships

Note: This session is also offered Sunday, 17 May 2020 at 3:00pm. This Interactive Workshop has limited capacity and requires pre-registration.

Concurrent Sessions

Concurrent Sessions provide analysis and commentary on topics such as alternative investing, capital markets, tech developments, career skills, psychology and decision making, and sustainable investing.

1:15–2:00 p.m.

Blue Zones: Secrets of a Long Life (Repeat Session)

Nick Buettner
Vice President of Product
Blue Zones, LLC

  • Discover the blue zones and what they can teach us.
  • How can you apply the lessons of the longest lived to add healthy years to your own life?
  • Learn how these lessons are being applied to entire communities across the United States to make the healthy choices the easy choices.

Specialty Focus Area: Personal Development

Note: This session is also offered Sunday, 17 May 2020 at 3:45 p.m.

1:15–2:00 p.m.

The Secret to Becoming Mentally Strong: How to Develop the Mental Toughness You Need to Reach Your Greatest Potential

Amy Morin
Psychology Lecturer, Northeastern University
Author, 13 Things Mentally Strong People Don’t Do

  • Gain insight from a psychotherapist into the secrets to being mentally strong based on research and personal experience overcoming heartache.
  • The secret to being mentally strong isn’t about what people do; it is more about what they do not do.
  • Hear common unhealthy habits, and learn how giving up unhealthy thoughts, behaviors, and emotions holding you back will help you become more effective.
  • Learn via research, examples, and stories, and explore the three main types of self-limiting beliefs, the 13 habits that rob us of mental strength, and the exercises that build mental muscle and help us reach our greatest potential.

Specialty Focus Area: Personal Development

Concurrent Sessions

Concurrent Sessions provide analysis and commentary on topics such as alternative investing, capital markets, tech developments, career skills, psychology and decision making, and sustainable investing.

2:30–3:15 p.m.

The Misinformation Age: How False Beliefs Spread

Cailin O’Connor
​Associate Professor in the Department of Logic and Philosophy of Science
University of California, Irvine

  • Why do people hold false beliefs, even when there is ample evidence opposing them?
  • How does our social nature determine what we think is true of the world?
  • How can propagandists control the outcomes of science and what we believe?

Specialty Focus Area: Global Trends

2:30–3:15 p.m.

The Nationalist Revival: Trade, Immigration, and the Revolt against Globalization

John B. Judis
Editor-at-Large
Talking Points Memo

  • Are we headed toward a political revolution?
  • The challenge to the political center by the anti-capitalist left and populist right
  • Why the populist right? Trump, Brexit, and the European right; the new nationalism; how global capitalism has produced discontented working classes
  • Why the left? Warren and Sanders, Labour’s Corbyn, and the rebellion of the young; the unexpected revival of socialism; the anxieties created by climate change and economic insecurity
  • What’s at stake in the next election in the United States?

Specialty Focus Area: Global Trends

Interactive Workshops

Interactive Workshops are interactive, small group sessions designed to develop practical skills. Space is limited and pre-registration is required.

3:00–4:30 p.m.

A Master Class on AI and Machine Learning for Financial Professionals (Repeat Session)

Sri Krishnamurthy, CFA
President
QuantUniversity

The use of data science and machine learning in the investment industry is increasing. Financial firms are using artificial intelligence (AI) and machine learning to augment traditional investment decision making.

In this workshop, we aim to bring clarity on how AI and machine learning are revolutionizing financial services. We will introduce key concepts and, through examples and case studies, will illustrate the role of machine learning, data science techniques, and AI in the investment industry.

Agenda:
In Part 1, we will discuss key trends in AI and machine learning in the financial services industry, including the key use cases, challenges, and best practices.

In Part 2, we will illustrate two case studies where AI and machine learning techniques are applied in financial services.

 Case studies: 

  1. Sentiment Analysis Using Natural Language Processing in Finance
    In this case study, we will demonstrate the use of natural language processing techniques to analyze EDGAR call earnings transcripts that could be used to generate sentiment analysis scores using the Amazon Comprehend, IBM Watson, Google, and Azure APIs (application programming interfaces). We will illustrate how these scores can be used to augment traditional quantitative research and for trading decisions.
  2. Credit Risk Decision Making Using Lending Club Data
    In this case study, we will use the Lending Club data set to build a credit risk model using machine learning techniques.

Note: Both case studies will use Python and cloud-based technologies, but Python/technical experience is not required to attend this workshop. Delegates are encouraged, but not required, to bring their laptop to follow along with demos and examples.

Who should attend:

  • Fundamental and quantitative analysts, investment professionals, and portfolio managers new to data science and machine learning
  • Financial professionals new to data-driven methodologies
  • Machine learning enthusiasts interested in use cases in fintech and financial organizations

Additional reading:

  1. “Speaking Data Science with an Investment Accent,” Cynthia Harrington, CFA Institute Magazine (21 December 2017)
  2. “Machine Learning: An Intuitive Foundation,” Sri Krishnamurthy(24 August 2016)

Note: This session is also offered Sunday, 17 May 2020 at 1:15pm. This Interactive Workshop has limited capacity and requires pre-registration.

3:00–4:30 p.m.

The Power of Mindfulness for Building Resilience and Overcoming Stress (Repeat Session)

Donald Altman
Author, Mindfulness Consultant, and Trainer

  • Discover the four building blocks of resilience: calm, clarity, optimism, and happiness.
  • One-minute mindful breathing and other tools to reduce stress
  • Create mental habits that promote optimism and problem solving.
  • Gratitude—your powerful tool for building resilience and enhancing relationships

Note: This session is also offered Sunday, 17 May 2020 at 1:15pm. This Interactive Workshop has limited capacity and requires pre-registration.

3:30–4:00 p.m.

The Research Foundation Networking Reception

Join the CFA Institute Research Foundation for a networking reception following the Research Foundation Workshop.

Concurrent Sessions

Concurrent Sessions provide analysis and commentary on topics such as alternative investing, capital markets, tech developments, career skills, psychology and decision making, and sustainable investing.

3:45–4:30 p.m.

168 Hours: Succeeding at Work and Life, 24/7

Laura Vanderkam
​Author, Off the Clock and 168 Hours

  • Are you struggling to make time for everything that matters?
  • Take steps to figure out where the time really goes, set goals, and build those priorities into a schedule.
  • Leave with practical strategies for building in space, using bits of time, and feeling less busy while getting more done, both at work and at home

Specialty Focus Area: Personal Development

3:45–4:30 p.m.

Blue Zones: Secrets of a Long Life (Repeat Session)

Nick Buettner
Vice President of Product
Blue Zones, LLC

  • Discover the blue zones and what they can teach us.
  • How can you apply the lessons of the longest lived to add healthy years to your own life?
  • Learn how these lessons are being applied to entire communities across the United States to make the healthy choices the easy choices.

Specialty Focus Area: Personal Development

Note: This session is also offered Sunday, 17 May 2020 at 1:15pm.

5:00–6:15 p.m.

Thinking in Bets: Making Smarter Decisions When You Don’t Have All the Facts

Annie Duke
Author and Former Professional Poker Player​

  • How probabilistic thinking can help you make better choices based on lessons learned from the intersection of poker and cognitive science
  • Separate skill and luck in order to make better, more impartial life decisions.
  • Learn how to think through competing viewpoints before making a final decision and how not to engage in “resulting”—conflating outcomes with the decisions leading up to the outcome.
  • How to refocus away from black and white thinking and learn to think in probabilities, taking uncertainty and unpredictability into account in order to make better decisions