Academic Learning
Dr. Bryan Foltice - Behavioral Finance
Behavioral-finance mini-lectures examine saving, diversification, retirement spending, financial education, and how people respond to AI-assisted decisions. The recent mix combines concise 24–56 second prompts with longer lessons, including discussions of automation bias, algorithm aversion, and personal-finance teaching. It suits learners seeking concept-led finance education rather than market calls; viewers should still weigh financial ideas against their own circumstances.
Editorially reviewed:

Based on 20 recent videos
Assessed 08 October 2026
Editorial note
WorthWatch verdict
Best for
learners studying how cognitive biases shape financial decisions
Strength
a structured, professor-led behavioral finance lecture library
Consider if
you prefer course-style explanations over market commentary
Recent videos
Latest from the source
Deep Dive
Dr. Bryan Foltice - Behavioral Finance: Mini-Lectures on Money Decisions and Bias
Main focus
Dr. Bryan Foltice - Behavioral Finance examines the habits and biases behind everyday money decisions, from saving and diversification to retirement spending. The teaching centers on behavioral finance, including how people respond to financial education and AI-assisted choices.
Why it matters
Use these lessons to frame saving, diversification, and retirement questions around human judgment rather than market predictions. The concept-led approach helps learners recognize automation bias and algorithm aversion before treating a financial choice as purely rational.
Style
Mini-lectures move between compact prompts and longer classroom-oriented explanations, with attention to the psychology behind financial judgment. The tone is educational and focused on decision-making questions rather than market calls.
Consistency
A 150-video body of work pairs longer lessons with recent 24–56 second prompts. That mix supports quick refreshers alongside more sustained study of behavioral-finance ideas.
- Behavioral finance
- Saving habits
- Diversification
- Retirement spending
- Financial education
- Automation bias and algorithm aversion
Treat discussions of saving, investing, diversification, and retirement as educational frameworks; compare any action with your circumstances and, where needed, professional advice.




