
Explore stock, bond, derivative, forex, money, property, and risk markets, driven by supply and demand and guided by fundamental and technical analysis, plus investor sentiment.
Explore the efficient market hypothesis and its strong, semi-strong, and weak forms, with debates by Fama and Shiller, and examples like Apple and Bitcoin.
Compare active and passive investment strategies, explain momentum and contrarian approaches, and discuss the cost of active management, market efficiency, and diversification versus tracking error.
Explore consumer choice theory by analyzing how rational buyers maximize utility through bundles of goods. Learn how diminishing marginal utility, indifference curves, and budget lines determine optimal purchases.
Explore how stories shape financial decisions and asset prices, using bitcoin’s rise and crash as a narrative example. Learn to read market fears and hopes to anticipate price movements.
Learn how beliefs form—from authority, reason, and empirical truth—and why embracing doubt improves your decisions. Apply evidence-based thinking in finance, marketing, and politics to spot scams and make stronger choices.
Explain shortfall probability by calculating the chance that returns fall below a threshold l; use the average return, a benchmark, zero, or negative values to indicate loss magnitude.
Explore value at risk as a 99% loss threshold over 12 months, note normal model limits with fat tails, and discuss expected shortfall as tail value at risk.
Mean-variance portfolio theory guides investors to maximize return for a given risk or minimize risk for a return, defining risk as variance, using a quadratic utility function, and noting limitations.
This lecture outlines the mean-variance portfolio theory assumptions. It shows investments are chosen solely on risk and return, with no taxes, costs, or limits, and with known information.
Examine capital asset pricing models as an extension of mean-variance portfolio theory, linking the market portfolio, risk-free rate, and beta to determine returns, while evaluating assumptions and security market line.
Explore how utility theory and insurance interact, analyzing absolute and relative risk aversion, a quadratic utility model, and premium pricing to equate expected and current utility.
Use a stochastic differential equation to model stock prices, derive a lognormal distribution, and assess the four-year variance and CEO surplus, plus put option hedge considerations such as premium.
Apply the inflation adjusted chain ladder method to a run-off triangle by deriving incremental claims from a cumulative table, adjusting for inflation using year indices, and computing outstanding claims.
Section 1 - Introduction
Financial Markets
We look at various markets such as the Stock Market, the Bond Market, the Derivative Market as well as Risk markets.
Efficient Market Hypothesis
We consider the Strong, Semi and Weak form of the Efficient Market Hypothesis as well as the evidence for and against each one.
Can you Beat the Market?
We compare the success of Warren Buffet vs the success of John C Bogle
Active vs Passive Strategies
We compare two investment philosophies and consider the problems with each
Covid-19 Investment Strategies
I share my own investment strategies before and after Covid-19
What Caused the Great Recession
We look at what caused the global recession in 2008
Section 2 - Utility Theory
Irrational Behaviour
We play the St Petersburg Paradox and consider if our decisions can be irrational
Consumer Choice Theory
We look at indifference curves and budget lines to make decisions around bundles.
Utility Theory
We make observations about the utility of money and consider various attitudes towards risk.
Axioms of Utility
We look at Completeness, Transitivity, Continuity and Independence
Expected Utility Theory
We consider consumer choice theory with uncertainty
Stochastic Dominance
We look at Absolute, First Order and Second Order Dominance
Section 3 - Behavioural Economics
Behaviour Economics
Heuristics
Framing
Herd Instinct
Anchoring
Myopic Loss Aversion
Mental Accounting
Bias - (Self Serving, Confirmation, Availability and Familiarity)
Story Believing
How to Fight Irrationality
Section 4 - Risk Measures
Variance and Semi Variance
Shortfall Probability
Value at Risk
Expected Shortfall (Tail VaR)
Relationship between Risk Measures and Utility Functions
Section 5 - Mean Variance Portfolio Theory
Introduction to Portfolio Theory
Introduction to Mean Variance Portfolio Theory
Assumptions
Opportunity Set & Efficient Frontier
Diversification Benefit
Optimal Portfolio
Section 6 - Capital Asset Pricing Model