Upcoming webinars from CFA Institute

CFA Society Finland would like to remind everyone of the great webinars CFA Institute is offering. Please take a look at some of the upcoming streamings below.

Lessons from “Radical Uncertainty” for coping with COVID-19 and future pandemics

Monday 25th May, 1.30 pm EET

Lord Mervyn King navigated the global financial crisis during his decade at the helm of the Bank of England. Listen to Lord King’s reflections on the failure to recognise the limitations of the models used by governments and financial analysts to predict the economy, and how policy-makers need to avoid "bogus quantification".  Probabilities can be misleading; and embracing uncertainty may actually work to your advantage. How would he have steered the UK central bank through that crisis differently knowing what he now knows about “radical uncertainty”? What are the lessons from his book “Radical Uncertainty” that can be used for coping with COVID-19 and the future?

LORD KING OF LOTHBURY, KG, GBE, FBA Mervyn King served as Governor of the Bank of England from 2003 to June 2013. He was knighted (GBE) in 2011, made a life peer in 2013, and appointed by The Queen to be a Knight of the Garter in 2014. Lord King is the Alan Greenspan Professor of Economics and Professor of Law at New York University and Emeritus Professor of Economics at the London School of Economics. In 2016 he published The End of Alchemy. With a new preface, it appeared in paperback in 2017, and has been translated into many languages. His new book (with John Kay) Radical Uncertainty was published in March 2020. Born in 1948, Mervyn King studied at King’s College, Cambridge, and taught at Cambridge and Birmingham Universities before spells as Visiting Professor at both Harvard University and MIT. From October 1984 he was Professor of Economics at the London School of Economics where he founded the Financial Markets Group. He is Chair of the Philharmonia Orchestra.

Registration link: https://www.cfainstitute.org/en/events/webinars/lessons-from-radical-uncertainty

 

Machine Learning in Portfolio Construction

Thursday 28th May, 7 pm EET

Financial markets have become increasingly complex. Machine learning offers powerful tools for portfolio construction that complement and overcome some of the limitations of classical statistical methods. Join Professor Marcos Lopez de Prado of Cornell University to discuss effective processes for analyzing data and testing investment strategies.  

In this interactive webinar, Professor Lopez de Prado will discuss convex optimization solutions in the context of signal-induced and noise-induced instabilities, identifying machine learning methods that improve investment performance.

Marcos López de Prado is the CIO of True Positive Technologies (TPT) and professor of practice at the Cornell University School of Engineering. He has over 20 years of experience developing investment strategies using machine learning algorithms and supercomputers. Professor López de Prado launched TPT after selling some of his patents to AQR Capital Management, where he was a principal and the firm’s first head of machine learning. He also founded and led Guggenheim Partners’ Quantitative Investment Strategies business. Professor López de Prado is a research fellow at Lawrence Berkeley National Laboratory and has published dozens of scientific articles in leading academic journals. He is a founding co-editor of the Journal of Financial Data Science, has testified before the US Congress on artificial intelligence policy, and is ranked by SSRN as the most-read author in economics. Professor López de Prado has written several graduate textbooks, has an Erdős #2 according to the American Mathematical Society, and received Spain’s National Award for Academic Excellence and the Quant of the Year Award from the Journal of Portfolio Management. He earned a PhD in financial economics and a PhD in mathematical finance from Universidad Complutense de Madrid and completed his post-doctoral research at Harvard University and Cornell University.

Registration link: https://www.cfainstitute.org/en/events/webinars/machine-learning-in-portfolio-construction

Methods for Avoiding Common Investment Mistakes

Thursday 4th June, 3 pm EET

Every investor makes mistakes, and current market conditions have made mistakes more difficult to avoid. Joachim Klement, the author of 7 Mistakes Every Investor Makes (And How to Avoid Them): A manifesto for smarter investing, will provide practical advice on making better choices and improving performance based on his two decades of investing experience.

Joachim Klement is a strategist at Liberum. He has more than 20 years of experience in the financial markets and has spent most of his career working with wealthy individuals and family offices, providing advice on investments and helping manage portfolios. Mr. Klement studied mathematics and physics at the Swiss Federal Institute of Technology in Zurich (ETH Zurich) and earned a master’s degree in mathematics. He later studied business administration at the University of Zurich and the University of Hagen and earned a master’s degree in economics and finance.

Registration link: https://www.cfainstitute.org/en/events/webinars/methods-for-avoiding-common-investment-mistakes