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PERSONAL
FINANCE FOR
ENGINEERS
CS 007: SESSION 2
PREDICTABLY
IRRATIONAL
CS 007
* DesignHacks.co: 188 Known Cognitive Biases
*”Predictably Irrational” is the title of a boo...
BEHAVIORAL FINANCE
How many of you think you are
rational with your money?
(show of hands)
YOU ARE NOT
RATIONAL
ANCHORING MENTAL ACCOUNTING CONFIRMATION &
HINDSIGHT BIAS
GAMBLER’S FALLACY
HERD BEHAVIOR OVERCONFIDE...
WHY BEHAVIORAL ECONOMICS?
• A number of economic frameworks
assume that humans evaluate
financial decisions consistently &...
THREE THEMES IN BEHAVIORAL ECONOMICS
• Heuristics
Humans make a vast majority of
their decisions using mental
shortcuts or...
ANCHORING
• People estimate answers to new &
novel problems with a bias towards
reference points
• Tversky & Kahneman (197...
MENTAL ACCOUNTING
• Money is fungible, but people put it
into separate “mental accounts”
• Also known as “bucketing”
• Exa...
CONFIRMATION & HINDSIGHT BIAS
• Very different biases, but often conflated
with each other.
• Confirmation Bias
We selecti...
GAMBLER’S FALLACY
• We see patterns in independent,
random chains of events.
• We believe that, based on a series of
previ...
HERD BEHAVIOR
• We have a tendency to mimic the actions of
the larger group
• Example: Building Psych Experiment
• Example...
OVERCONFIDENCE
• In “Behaving Badly” (2016), 74% of
investment managers believed that
they deliver above-average
performan...
RECENCY & AVAILABILITY BIAS
• Recency Bias
We overreact to recent events
• Example: Celebrity Illness
• Availability Bias
...
YOU HAVE $1,000 AND YOU MUST PICK
ONE OF THE FOLLOWING GAMES
You have a 100% chance of gaining $500.B
You have a 50% chanc...
NOW, YOU HAVE $2,000 AND YOU MUST
PICK ONE OF THE FOLLOWING GAMES
B
A
OR
You have a 50% chance of losing $1,000, and
a 50%...
LOSS AVERSION (PROSPECT THEORY)
• We hate losses more than we love winning
• Average loss aversion across multiple studies...
IT’S OK TO NOT BE RATIONAL
IT’S OK TO NOT BE RATIONAL
• As Dan Ariely beautifully put it, the
key is that humans are predictably
irrational
• Know yo...
ADDITIONAL COURSES & MATERIAL
• Econ 178: Behavioral Economics
• Econ 278: Behavioral & Experimental
Economics
• ACCT 618 ...
QUESTIONS
CS 007
NEXT WEEK: GETTING PAID
• Compensation
• Different models & methods
• Public vs. Private Companies
• Stock Options vs. Res...
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Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 1 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 2 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 3 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 4 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 5 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 6 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 7 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 8 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 9 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 10 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 11 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 12 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 13 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 14 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 15 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 16 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 17 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 18 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 19 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 20 Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance Slide 21
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Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance

These are the slides from the 2nd session of the Stanford University class, CS 007 "Personal Finance for Engineers," given on September 22, 2020. This seminar covers the topic of Behavioral Finance.

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Stanford CS 007-2 (2020): Personal Finance for Engineers / Behavioral Finance

  1. 1. PERSONAL FINANCE FOR ENGINEERS CS 007: SESSION 2
  2. 2. PREDICTABLY IRRATIONAL CS 007 * DesignHacks.co: 188 Known Cognitive Biases *”Predictably Irrational” is the title of a book by Dan Ariely
  3. 3. BEHAVIORAL FINANCE How many of you think you are rational with your money? (show of hands)
  4. 4. YOU ARE NOT RATIONAL ANCHORING MENTAL ACCOUNTING CONFIRMATION & HINDSIGHT BIAS GAMBLER’S FALLACY HERD BEHAVIOR OVERCONFIDENCE OVERREACTION & AVAILABILITY BIAS LOSS AVERSION
  5. 5. WHY BEHAVIORAL ECONOMICS? • A number of economic frameworks assume that humans evaluate financial decisions consistently & rationally • Daniel Kahneman & Amos Tversky (1960s) • 2002 Nobel Memorial Prize in Economic Sciences • Prospect Theory
  6. 6. THREE THEMES IN BEHAVIORAL ECONOMICS • Heuristics Humans make a vast majority of their decisions using mental shortcuts or rules of thumb. • Framing Humans use anecdotes & stereotypes to understand & respond to events • Market Inefficiencies Mis-pricing or non-rational decision making
  7. 7. ANCHORING • People estimate answers to new & novel problems with a bias towards reference points • Tversky & Kahneman (1974) (quick multiplication) • Dan Ariely (social security numbers & prices) • Common examples: • Price you bought a stock at • High point for a stock
  8. 8. MENTAL ACCOUNTING • Money is fungible, but people put it into separate “mental accounts” • Also known as “bucketing” • Example: Lost Movie Tickets • Example: “Found Money” • Real world problems: Vacation Fund & Credit Card Debt
  9. 9. CONFIRMATION & HINDSIGHT BIAS • Very different biases, but often conflated with each other. • Confirmation Bias We selectively seek information that supports pre-existing theories, and we ignore / dispute information that challenges or disproves them. • Hindsight Bias We overestimate our ability to predict the future based on the “obviousness” of the past. • Combination of the two is particularly bad.
  10. 10. GAMBLER’S FALLACY • We see patterns in independent, random chains of events. • We believe that, based on a series of previous events, an outcome is more likely than odds actually suggest. • Example: Dinner Party & Coin Flips • Real odds might be 51/49, but we tend to jump to 80/20. • Likely cause: the rarity of “independent events” in day-to-day experience.
  11. 11. HERD BEHAVIOR • We have a tendency to mimic the actions of the larger group • Example: Building Psych Experiment • Example: Empty Supermarket • Crowd psychology may be a contributor to bubbles. • Bucking the crowd creates stress & fatigue. It gets harder, not easier. • Easier to be “wrong with everyone” than “right and alone” • No gets fired for buying IBM?
  12. 12. OVERCONFIDENCE • In “Behaving Badly” (2016), 74% of investment managers believed that they deliver above-average performance. • Dunning-Kruger Effect. The more poorly you perform, the more you over-estimate your performance. • Capability in one domain can lead to overconfidence in others. • Humility is a virtue.
  13. 13. RECENCY & AVAILABILITY BIAS • Recency Bias We overreact to recent events • Example: Celebrity Illness • Availability Bias We assume that the data we have been provided is representative of the entire data set. • The combination is particularly bad. • Studies show checking stock prices daily leads to more trading & worse results on average. • Worse for engineers, because we are immersed in “game changers” & “it is different this time”
  14. 14. YOU HAVE $1,000 AND YOU MUST PICK ONE OF THE FOLLOWING GAMES You have a 100% chance of gaining $500.B You have a 50% chance of gaining $1,000, and a 50% chance of gaining $0.A OR
  15. 15. NOW, YOU HAVE $2,000 AND YOU MUST PICK ONE OF THE FOLLOWING GAMES B A OR You have a 50% chance of losing $1,000, and a 50% chance of losing $0. You have a 100% chance of losing $500.
  16. 16. LOSS AVERSION (PROSPECT THEORY) • We hate losses more than we love winning • Average loss aversion across multiple studies is between 2:1 and 3:1 • Affects our views on a wide range of situations, including career decisions, dating, purchasing, investing and taxes. • We even hate being responsible for decisions that could result in a loss • Example: “Sunk Cost” mistakes with investments • Currently under debate! There is some debate now about whether this effect is a product of confirmation bias in research! * * https://blogs.scientificamerican.com/observations/why-the-most-important-idea-in-behavioral-decision-making-is-a-fallacy/?amp
  17. 17. IT’S OK TO NOT BE RATIONAL
  18. 18. IT’S OK TO NOT BE RATIONAL • As Dan Ariely beautifully put it, the key is that humans are predictably irrational • Know your own flaws, and you can set up systems to help account for them • Self awareness is key (yes, my Mom is a psychologist)
  19. 19. ADDITIONAL COURSES & MATERIAL • Econ 178: Behavioral Economics • Econ 278: Behavioral & Experimental Economics • ACCT 618 (GSB): Market Efficiency & Informational Arbitrage • Coursera / Duke: Behavioral Finance https://www.coursera.org/learn/duke-behavioral-finance
  20. 20. QUESTIONS CS 007
  21. 21. NEXT WEEK: GETTING PAID • Compensation • Different models & methods • Public vs. Private Companies • Stock Options vs. Restricted Stock • Understanding Equity Compensation • Taxes
  • MoiMoi60

    Sep. 21, 2021
  • duonghuuphuc

    May. 31, 2021
  • Ajayvarma66

    Apr. 29, 2021
  • alaazeko2

    Apr. 17, 2021

These are the slides from the 2nd session of the Stanford University class, CS 007 "Personal Finance for Engineers," given on September 22, 2020. This seminar covers the topic of Behavioral Finance.

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