Finance

2026-04-29

A Random Walk Down Wall Street

Notes

Highlights

  1. [y] “smart beta”
  2. [y] modern portfolio theory, whose insights will enable you to reduce risk while possibly earning a higher return
  3. [o] investors can increase their returns by assuming a certain kind of risk
  4. [i] psychology, not rationality, rules the market, and that there is no such thing as a random walk
  5. [z] they should constitute the core of all portfolios
  6. [y] The efficient-market hypothesis explains why the random walk is possible.
  7. [i] Because of the actions of the pros, the prices of individual stocks quickly reflect all the news that is available.
  8. [b] Samuel Butler
  9. [z] the method of beating the market, they say, is not to exercise superior clairvoyance but rather to assume greater risk
  10. [y] The dividend of the company may be cut
  11. [s] Thus, financial risk has generally been defined as the variance or standard deviation of returns.
  12. [j] Although the pattern of historical returns from individual securities has not usually been symmetric, the returns from well-diversified portfolios of stocks are at least roughly symmetric.
  13. [v] Thus, in two-thirds of the months the returns from this portfolio were between +5½ percent and –3½ percent, and 95 percent of the returns were between 10 percent and –8 percent.
  14. [y] October 1987 is the most dramatic change in stock prices during a brief period since the 1930s
  15. [y] there are ways in which investors can reduce risk.
  16. [s] What Markowitz discovered was that portfolios of risky (volatile) stocks might be put together in such a way that the portfolio as a whole could be less risky than the individual stocks in
  17. [s] quadratic programming
  18. [o] although both companies were risky (returns were variable from year to year), the companies were affected differently by weather conditions
  19. [j] negative covariance
  20. [z] most investors will realize that when the market gets clobbered, just about all stocks go down
  21. [t] anything less than perfect positive correlation can potentially reduce risk
  22. [y] can there be too much of a good thing? diversification: yes
  23. [v] fifty equal-sized and well-diversified U.S. stocks
  24. [v] total risk is reduced by over 60 percent
  25. [y] increases in the price of oil and raw materials have a negative effect on Europe, Japan, and even the United States,
  26. [y] oil price increases have a very positive effect on Indonesia and oil-producing countries in the Middle East.
  27. [y] international diversified portfolio tends to be less risky than the one drawn purely from U.S. stocks
  28. [y] EAFE (developed foreign country
  29. [y] The paradoxical result of this analysis is that overall portfolio risk is reduced by the addition of a small amount of riskier foreign securities.

Masters of Statistics

#Course CodeTitleOfferedPrerequisitesTermTypeTextbookNotes
1.COMP6713Natural Language ProcessingT1MATH1081,944426T1Electivena
2.FINS5513Investments and Portfolio SelectionT1,2,38750 program26T1Electivena
3.FINS5536Fixed Income Securities and Interest Rate DerivativesT2551326T2Electivenapricing, hedging, risk management. options, futures and swaps (int rate derivs)
4.MATH5856Introduction to Statistics and Statistical ComputationsT226T2Electivenarecommended for 5905
6.MATH5960Bayesian Inference and ComputationT32801/290126T3Elective
7.MATH5825Measure, Integration and ProbabilityT3U570526T3Electivenaimplicit prereq for 5835
8.MATH5905Statistical InferenceT1,2,3U5846,U585627T1Corena
9.COMP9518Advanced Machine LearningT2951727T2Electivena
10.MATH5845Time SeriesT227T2Electivena
11.MATH5855Multivariate AnalysisT327T3Electivena
12.MATH5835Advanced Stochastic ProcessesT1U582528T1CorenaDifficult. Requires an understanding of Real Analysis and Measure Theory
13.MATH5806Applied Regression AnalysisT228T2Electivenasplines, poisson / binomial regression
14.MATH5925Project (12uoc)T1,2,336UoC28T2Corena

new plan ATTACH

term (tentative)course codecourse nameUoC
27T1MATH5975Introduction to Stochastic Analysis6
27T1MATH5371Numerical Linear Algebra6
27T2COMP9418Advanced Machine Learning6
27T3MATH5960Bayesian Inference and Computation6
28T1FINS5513Investments and Portfolio Selection6
28T1MATH5905Statistical Inference6
28T2FINS5536Fixed Income Securities & Interest Rate Derivatives6
28T2MATH5835Advanced Stochastic Processes6
29T1MATH5845Time Series6
29T1MATH5925Project6
29T2MATH5825Measure, Integration and Probability6
29T2MATH5925Project6