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Episode 29: Unpacking the Phenomenon of Meme Stocks and Investor Behavior

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Conteúdo fornecido por Dr. Bryan Foltice. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Dr. Bryan Foltice ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Send us a Text Message.

In this episode of the Brtan Foltice Behavioral Finance Podcast, Dr. Brtan Foltice delves into the intriguing world of meme stocks, such as GameStop and AMC Entertainment, and their impact on investor behavior.
He introduces key concepts of behavioral finance including noise trader risk and the Greater Fool Theory, explaining how these factors drive the stock prices far beyond their fundamental value. Bryan demonstrates how meme stock phenomena bring to light irrational aspects of investor behavior, fueled by social media influences and group dynamics rather than financial fundamentals.
He also shares insights from his experiences teaching corporate finance, emphasizing the learning curve and sophistication investors gain through these market anomalies. The episode concludes with an encouragement for listeners to delve deeper into behavioral finance, suggesting it as an elective for finance majors and teasing an upcoming course package on the subject.

00:00 Introduction to Behavioral Finance and Meme Stocks

01:21 Summer Teaching and Transition to Online Classes

03:10 Diving Deep into Meme Stocks Phenomenon

07:38 Behavioral Finance Theories in Action: Noise Trader Risk and Greater Fool Theory

15:57 Learning from the Meme Stock Frenzy: A Shift in Investor Behavior

18:26 Wrapping Up

Support the Show.

Bryan Foltice Behavioral Finance Website - www.bryanfoltice.com
Instagram - www.instagram.com/bryanfoltice
Linkedin - https://www.linkedin.com/in/bryan-foltice-2578a116/
Disclaimer: www.bryanfoltice.com/cv

  continue reading

34 episódios

Artwork
iconCompartilhar
 
Manage episode 419356262 series 3485712
Conteúdo fornecido por Dr. Bryan Foltice. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Dr. Bryan Foltice ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Send us a Text Message.

In this episode of the Brtan Foltice Behavioral Finance Podcast, Dr. Brtan Foltice delves into the intriguing world of meme stocks, such as GameStop and AMC Entertainment, and their impact on investor behavior.
He introduces key concepts of behavioral finance including noise trader risk and the Greater Fool Theory, explaining how these factors drive the stock prices far beyond their fundamental value. Bryan demonstrates how meme stock phenomena bring to light irrational aspects of investor behavior, fueled by social media influences and group dynamics rather than financial fundamentals.
He also shares insights from his experiences teaching corporate finance, emphasizing the learning curve and sophistication investors gain through these market anomalies. The episode concludes with an encouragement for listeners to delve deeper into behavioral finance, suggesting it as an elective for finance majors and teasing an upcoming course package on the subject.

00:00 Introduction to Behavioral Finance and Meme Stocks

01:21 Summer Teaching and Transition to Online Classes

03:10 Diving Deep into Meme Stocks Phenomenon

07:38 Behavioral Finance Theories in Action: Noise Trader Risk and Greater Fool Theory

15:57 Learning from the Meme Stock Frenzy: A Shift in Investor Behavior

18:26 Wrapping Up

Support the Show.

Bryan Foltice Behavioral Finance Website - www.bryanfoltice.com
Instagram - www.instagram.com/bryanfoltice
Linkedin - https://www.linkedin.com/in/bryan-foltice-2578a116/
Disclaimer: www.bryanfoltice.com/cv

  continue reading

34 episódios

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