Bryan Foltice

    Behavioral Finance - Introduction to Market Efficiency

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    Financial Markets · Online Course

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    Dive deep into the fascinating intersection of human psychology and financial markets with this comprehensive introductory course on Behavioral Finance and Market Efficiency, led by expert instructor Bryan Foltice. While traditional financial theories rely heavily on the Efficient Market Hypothesis (EMH)—the idea that asset prices always reflect all available information—real-world markets frequently display irrational behaviors, anomalies, and extreme volatility. This course serves as an essential guide for investors, finance students, and market analysts who want to understand why markets do not always behave rationally. Throughout this curriculum, you will explore the three core forms of market efficiency (weak, semi-strong, and strong) and tackle the perplexing joint hypothesis problem that complicates empirical testing. You will also dissect ten of the most prominent market anomalies that challenge standard economic models, discovering how these inefficiencies manifest and how savvy market participants identify them. Finally, the course breaks down the anatomy of historical and modern asset bubbles, providing you with the analytical tools needed to spot speculative frenzies before they burst. By bridging the gap between classical finance theory and behavioral realities, this course empowers you to make more informed, psychologically grounded investment decisions.

    About the creator

    Bryan Foltice

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    Bryan Foltice
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    Bryan Foltice is an experienced educator and researcher specializing in the field of behavioral finance. With a deep passion for understanding how psychological biases influence financial decision-making, Bryan has dedicated his academic and professional career to translating complex market theories into actionable insights. In his courses, such as his foundational instruction on behavioral finance and market efficiency, Bryan focuses on dismantling traditional economic assumptions—specifically the idea that market participants always act rationally. He guides students through the fascinating intersection of human behavior, market anomalies, and cognitive errors that shape real-world investment outcomes. Bryan’s teaching methodology is highly interactive and grounded…Show more

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    Program Overview

    Online Course

    Learning format

    Financial Markets

    Subcategory

    $19.99

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Compare and contrast the classical Efficient Market Hypothesis (EMH) with the core tenets of behavioral finance to understand why market prices deviate from intrinsic values.
    • Analyze the weak, semi-strong, and strong forms of market efficiency and evaluate how information is absorbed by financial markets.
    • Deconstruct the joint hypothesis problem and explain why it makes empirical testing of market efficiency notoriously difficult.
    • Identify and evaluate ten major market anomalies, or challenges to market efficiency, explaining their underlying psychological drivers.
    • Examine the anatomical lifecycle of an asset bubble, using historical and modern market case studies to recognize signs of speculative behavior.
    • Develop practical frameworks to identify market inefficiencies and leverage behavioral insights to improve risk management and investment decision-making.

    Best For

    • Finance students seeking a deeper understanding of market anomalies beyond classical theory.
    • Investment professionals looking to integrate psychological insights into their risk management models.
    • Retail investors who want to learn how to identify and avoid speculative asset bubbles.
    • Analysts interested in the empirical challenges of testing market efficiency.

    Not For

    • Traders looking for a 'get-rich-quick' strategy or day-trading technical analysis signals.
    • Complete financial novices who do not yet understand basic investment terminology or stock market structure.
    • Individuals seeking purely mathematical or algorithmic trading methods without a focus on behavioral theory.

    What's included

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