Multivariate Analysis
- Multivariate Regression
- 4 tests of assumptions (normality, homoskedasticity, line, serial correlation or area of volatility)
- pros: topic is easy to understand
- cons: familiar with Excel, Stata or Gretl, not practical to use in the near future
Time Series
- AR and MA models
- cons: familiar with Stata and Gretl
Portfolio Optimization: Non Linear LP
- involving numerical methods for managing risks and return
- pro: very user specific (Objective functions and constraints)
- cons: challenging to conceptualize through code
Portfolio Optimization: PCA and Factor Analysis
- for managing risks and return, groupings for regression
- pro: familiar with the coding except for the eigenvalues
- cons: familiar with other statistical software, not practical for long term use
CRR vs BS functions
- CRR and BS for option pricing
- pros: biased over this, will use in the near future
- cons: have to review in detail
Monte Carlo Simulation: Option Pricing
- pro: a fun idea
- cons:
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