Deeponomics is a podcast about the deep ideas shaping markets, finance, and accounting — grounded in academic research and critical thinking. Each episode draws from scholarly work to explore how investors make decisions, how narratives influence investments, and how theory connects to real-world finance. Expect conversations with researchers, deep dives into academic papers, and reflections on the stories behind the numbers.
Deeponomics
Claim This Podcastby Deeponomics
5.0(8 reviews)
19 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇨🇭
41
Podcast Authority
BetaFairBased on show quality, social media presence, reviews, charts, and more
Quality45
Social0
YouTube63
Engagement32
Podcast Overview
Deeponomics is a podcast about the deep ideas shaping markets, finance, and accounting — grounded in academic research and critical thinking. Each episode draws from scholarly work to explore how investors make decisions, how narratives influence investments, and how theory connects to real-world finance. Expect conversations with researchers, deep dives into academic papers, and reflections on the stories behind the numbers.
Language
🇺🇲
Publishing Since
5/8/2025
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41
Podcast Authority
BetaFairBased on show quality, social media presence, reviews, charts, and more
Quality45
Social0
YouTube63
Engagement32
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Recent Episodes
December 19, 2025
#17 - Narrative Authority in Financial Markets
<p><strong>Welcome, friend and future deep-dweller!</strong></p><p><br></p><p>In this episode of Deeponomics, I sit down with <strong>Stefan Leins</strong>, Professor of Social Anthropology at the University of Bern and author of <a href="https://press.uchicago.edu/ucp/books/book/chicago/S/bo27442087.html" target="_blank" rel="ugc noopener noreferrer"><strong>Stories of Capitalism</strong></a>, to explore what actually happens inside a financial analyst department at a large Swizz bank. </p><p><br></p><p>Based on a two-year ethnography, Leins takes us into the everyday world of buy-side financial analysts, a world far more narrative-driven than standard finance theory would ever admit. </p><p><br></p><p>We talk about how analysts work under radical uncertainty, why narratives matters, and how wildly different strategies, from technical analysis to being inspired by astrology and Fibonacci, coexist under the same institutional roof.</p><p><br></p><p>A central theme of the conversation is why financial analysts continue to exist despite decades of evidence that markets are difficult, if not impossible, to beat. Leins shows that the real product analysts deliver is not prediction accuracy, but compelling investment narratives that create orientation, agency, and legitimacy in an unknowable future.</p><p><br></p><p>We dive deep into the idea of narrative authority, how analysts build credibility through narratives rather than prediction accuracy, how forecasts travel through the bank via client advisors and asset managers, and how responsibility for failure is continuously pushed around the organization. </p><p><br></p><p>Along the way, we unpack how narratives differ from stories, why performativity only gets us part of the way, and what all of this means for investors, banks, and our understanding of expertise in finance.</p><p><br></p><p>If you are interested in markets as cultural systems, in finance as a narrative practice, or in what really sustains belief in professional expertise under uncertainty, this episode is a must-listen.</p><p><br></p><p>Click on his name to learn more about <a href="https://www.anthro.unibe.ch/about_us/people/prof_dr_leins_stefan/index_eng.html" target="_blank" rel="ugc noopener noreferrer">Stefan Leins </a>and his work.</p><p><br></p><p>—</p><p><br></p><p><strong>Find Us Deep</strong></p><p><br></p><p>Substack: deeponomics.substack.com</p><p><br></p><p>Instagram: @deeponomics</p><p><br></p><p>YouTube: @Deeponomics</p><p><br></p><p>Website: deeponomics.com</p><p><br></p><p>Email: info@deeponomics.com</p>
November 20, 2025
#16 - The Social Studies of Finance
<p><strong>Welcome, friend and future deep-dweller!</strong></p><p><br></p><p>In this episode of Deeponomics, I sit down with <strong>Yuval Millo</strong>, Professor of Accounting at Warwick Business School, to trace the intellectual journey behind the social studies of finance and what it means to take markets seriously as social and reflexive systems. </p><p><br></p><p>Millo walks us through the early days of the field, including how his investigation into the Black–Scholes option pricing model led him to the idea of performativity and the insight that financial theories don’t just describe markets, they shape them.</p><p><br></p><p>We dive into his recent work on financial analysts, investors, and the subtle social structures that create market inertia, from overconfidence born in tight networks to the stickiness of buy-side and sell-side relationships.</p><p><br></p><p>We also explore his research on active fund managers, why so many still persist despite decades of underperformance, and what happens when the rise of passive investing becomes an epistemic threat to the identity of active professionals.</p><p><br></p><p>Finally, we touch on his newer work on machine learning and credit modeling, where opaque systems risk creating self-referential loops that humans cannot easily escape or evaluate.</p><p><br></p><p>If you’re curious about how markets actually work once you zoom in on the humans, tools, and stories that animate them, this conversation offers a rare inside view from someone who helped shape the field.</p><p><br></p><p>Learn more about Yuval Millo: <a href="https://search.asu.edu/profile/2393744">https://www.wbs.ac.uk/about/person/yuval-millo/</a></p><p><br></p><p>—</p><p><br></p><p><strong>Find Us Deep</strong></p><p><br></p><p>Substack: deeponomics.substack.com</p><p><br></p><p>Instagram: @deeponomics</p><p><br></p><p>YouTube: @Deeponomics</p><p><br></p><p>Website: deeponomics.com</p><p><br></p><p>Email: info@deeponomics.com</p><p></p>
September 23, 2025
#15 - The Human Side of Data Analytics
<p><strong>Welcome, friend and future deep-dweller!</strong></p><p><br></p><p>In this episode of Deeponomics, we sit down with <strong>Eldar Maksymov</strong> to explore the human side of data analytics.</p><p><br></p><p><br>Maksymov, a Professor at Arizona State University and Visiting Professor at the Stockholm School of Economics, studies how organizations actually make analytics useful in financial reporting and decision-making. His work highlights the human, interpretive, and organizational dimensions that often get overshadowed by the technology itself.</p><p><br></p><p>We take a deep dive into his recent research based on interviews with American financial executives—uncovering how leaders frame, negotiate, and embed analytics into everyday practice. </p><p><br></p><p>Along the way, we discuss sensemaking, resistance, and the messy process of transforming underperforming tools into genuinely decision-useful practices.</p><p><br></p><p>Drawing on qualitative, field-based insights, Maksymov shows that analytics succeeds not because of algorithms alone, but because humans give it meaning, legitimacy, and purpose in complex organizational settings.</p><p><br></p><p>Learn more about Eldar Maksymov: <a href="https://search.asu.edu/profile/2393744" target="_blank" rel="ugc noopener noreferrer">https://search.asu.edu/profile/2393744</a> </p><p><br></p><p>This episode is produced in cooperation with the Stockholm School of Economics podcast, Numbers Talk. It is a longer and less filtered version of that conversation. </p><p><br></p><p>—</p><p><br></p><p><strong>Find Us Deep</strong></p><p><br></p><p>Substack: deeponomics.substack.com</p><p><br></p><p>Instagram: @deeponomics</p><p><br></p><p>YouTube: @Deeponomics</p><p><br></p><p>Website: deeponomics.com</p><p><br></p><p>Email: info@deeponomics.com</p>
19 total episodes available
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- What is Deeponomics?
- How often does this podcast release new episodes?
This podcast updates daily.
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This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
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No, this podcast does not typically feature guests.
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