
In this lesson, you will learn about:
The definition of behavioral finance.
Three assumptions of the neoclassical "homo economicus" individual.
Learn about expected value and "utility".
In this video, you will learn that:
Expected value is not always a great way to make decisions (St. Petersburg paradox).
Not all dollars are created equal.
We need to use a different "function" to calculate "utility".
In this video, you will learn about:
How to calculate and use the expected utility function.
Demonstrate how this utility improves the individual decision-making process playing "Deal or No Deal."
Use the utility function to calculate the certainty equivalent.
In this video, we learn about:
How our actual decision-making (behaviors) violate expected utility.
Loss aversion levels.
Risk-seeking, risk-neutral, and risk averse financial decisions.
In this video, you will learn about:
How framing influences our decisions (Using the Allais Paradox).
How framing violates expected utility.
This video shows you the five different domains that we typically display various levels of risk aversion. These domains include:
Financial Decision-Making (Investments)
Financial Decision-Making (Gambling/Sports Betting)
Health and Safety
Recreational
Social
This video unpacks some of the main drivers of our overall and financial behaviors. These drivers include:
Personality
Upbringing
Experiences
Resources.
We also learn that changing behavior is not just one step process.
Our beliefs shape our thoughts.
Our thoughts drive our decisions.
Our behaviors are a result of our decisions.
In this video, you will learn about:
How most individuals are risk averse in gain domains.
These individuals are also risk seeking in loss domains.
Loss aversion coefficients.
Full and abbreviated notes are provided in the supported materials.
In this video, you will learn:
About the overall value function, applying both loss aversion and a new term, diminishing value sensitivity.
Most individuals become risk-seeking in gain domains with a low probability for a large gain (lottery).
Most individuals become risk averse in loss domains with a low probability for a large loss (insurance).
Full and abbreviated notes are provided in the supported materials.
In this video, we learn how to:
Apply the prospect value function to financial decisions.
How reference points are important for determining gains and losses.
Why integration or segregation our outcomes can influence our overall decisions.
In this video, we learn about various ways framing influences our decision-making process. These ways include:
Positive/Negative
Auditory Framing
Visual Framing
Color
Font
Body Language
Value Framing (Rule of 100)
Stock Splits and Reverse Stock Splits
In this video, we learn about mental accounting and its various categories.
Categorizing Money
Categorizing Financial Events
Categorizing Spending
Overweighing low probabilities.
In this video, we apply our learning to three games:
The ultimatum game.
The dictator game.
The Trust game.
We also discuss the differences between a full rational decision maker and real-world participants.
Full and abbreviated notes are provided in the supported materials.
In this video, we learn about:
How fully rational "homo economicus" people would play the previous three games.
Altruism.
In this video, we seek to apply some of our prospect theory knowledge into real world situations. These examples include:
Price sensitivity to increases and decreases in product/service pricing.
Paycheck loss aversion and retirement contributions.
NYC Cab Drivers Ending Shift after Reaching Income Target.
Favorite/Longshot Bias
End-of-the-Day Effect.
In this final video of this mini course, we apply prospect theory into the disposition effect. Here, we learn:
What the disposition effect is and how it negatively influences stock traders.
How prospect theory explains the disposition effect.
How trailing stop loss trades can minimize the disposition effect on both gains and losses.
Analyze expected value, certainty equivalents, and natural logarithm utility in 50/50 coin flips, comparing option a and option b, and illustrating risk seeking, risk neutral, and risk averse preferences.
Please see the attached exercises for Part 2 of this mini course in the supporting materials.
The solutions are also posted in the supporting materials and the video explains the solutions to these exercises.
In this course, you will learn:
The differences between classical financial theory and behavioral finance. We outline why behavioral finance illustrates the decisions that people actually make compared to the financial decisions that individuals "should" make (depicted by expected value and utility functions).
Various ways individuals violate rational decision-making. These ways include: loss aversion, framing effects, and risk domain specificity.
Understanding prospect theory and knowing how to formulate its components, including loss aversion, diminished value sensitivity, and reference point dependence.
How framing and mental accounting factor into the decision-making process.
Applying aspects of prospect theory to make better financial decisions. From horse betting biases to the disposition effect, we learn about how prospect theory can be applied in various domains.
This course includes nearly 3 hours of lectures and included all course notes - both students notes and full instructor notes. Each of the three sections include a quiz at the end of each section for students to demonstrate their learning. Additional exercises (and solutions) are included as well.
Understanding these key concepts will give students the ability to better understand themselves, but also the world around them, whether its family/friends, colleagues or clients.
Whether you are new to finance or a financial professional, this course is for you!