Episode 72

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Published on:

15th Dec 2020

Episode 72: Real Time Delphi study of four economic variables / Épisode 72 : La méthode Delphi, les études en temps réel et quatre variables économiques

Developing estimates of future economic variables is a core actuarial skill, which normally combines data analysis with professional judgment. A technique known as the Real Time Delphi method is another means by which to accomplish this, leveraging the judgment of experts to arrive at a consensus forecast. A recent joint study with the Society of Actuaries applied this process to four key economic variables. Max Rudolph, FSA, MAAA, CERA and Steve Easson, FCIA, FSA and CFA join us to take us through the details of this research project. (In English)

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Élaborer des prévisions sur les variables économiques futures est une compétence de base en actuariat qui, généralement, associe l’analyse de données à l’avis professionnel. Un autre moyen d’y arriver est ce qu’on appelle la méthode Delphi appliquée aux études en temps réel. On tire ainsi profit de l’avis des experts pour obtenir une prévision de consensus. Un récent projet de recherche conjoint entre l’ICA et la SOA a appliqué la méthode Delphi à quatre variables économiques clés. Pour nous exposer en détail ce projet de recherche, nous recevons Max Rudolph, FSA, MAAA et CERA et Steve Easson, FICA, FSA et CFA. Cet épisode est disponible en anglais seulement.

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About the Podcast

Seeing Beyond Risk / Voir au-delà du risque
Podcast of the Canadian Institute of Actuaries / Balado de l'Institut canadien des actuaires
The Seeing Beyond Risk podcast spotlights unique human-interest stories, engaging discussions on emerging actuarial trends, and noteworthy industry updates with the Canadian Institute of Actuaries (cia-ica.ca), the qualifying and governing body of Canada's actuarial profession.

Le balado Voir au-delà du risque met l’accent sur des histoires uniques, des discussions sur les nouvelles tendances actuarielles et des mises à jour de l’industrie avec l’Institut canadien des actuaires (cia-ica.ca/fr), l’organisme de réglementation et de qualification de la profession actuarielle au Canada.

About your hosts

Chris Fievoli

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Chris has been Seeing Beyond Risk’s primary host since its inception in 2019. He boasts a distinguished career as a Fellow of the Canadian Institute of Actuaries (CIA) and is a graduate in Mathematics and Actuarial Science from the University of Waterloo. With more than a decade's experience at the CIA, Chris currently serves as the Actuary of the Communications and Public Affairs Department, blending technical actuarial prowess with effective communication strategies. His previous role on the Society of Actuaries Board of Directors from 2007 to 2010 underscores his dedication to the profession.

Through Seeing Beyond Risk, Chris melds his passion for storytelling with his profound understanding of risk management. Each episode offers insightful conversations that resonate with both professionals and enthusiasts, inviting listeners on a journey to uncover the intricacies of risk. With Chris at the helm, the podcast provides a platform to explore, learn and navigate the complex landscape of risk with clarity and confidence.

Maude Ayotte

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Joining the CIA in 2021, Maude offers a fresh perspective to the podcast as its co-host, specifically in episodes featuring French-speaking guests. With a background in French literature and criminology, her multidisciplinary approach to co-hosting enriches discussions on risk management by pulling out nuanced perspectives from different fields.

Maude's rich experience of more than seven years working in communications seamlessly integrates with her passion for storytelling, amplifying the podcast's impact. Additionally, her extensive 15+ years of experience in the performing arts field brings a creative flair to her role, elevating the listener’s podcast experience. What’s more, her ability to draw from this diverse range of disciplines enriches the overall quality of Seeing Beyond Risk, providing a holistic exploration of risk in various contexts.