Stochastic Portfolio Theory & Chance-Constrained Portfolio Selection
Stochastic Portfolio Theory. Foundations, key principles, math, chance-constrained portfolio selection, and Python coding example.
Category
Trading News – page 76
Behavioral Portfolio Theory (BPT)
Behavioral Portfolio Theory - Foundations, key principles, application in practice, critiques and limitations.
Roy’s Safety-First Criteria
Roy’s Safety-First Criteria - Theory, Formula, Application, Comparison with Other Risk Measures, and Pros and Cons
Kelly Criterion
Kelly Criterion - Formula and strategy considerations and its relevance to trading. An example, pros and cons & more. Simulations & coding.
Intertemporal Portfolio Choice
Intertemporal Portfolio Choice - We look at its theoretical framework, dynamic asset allocation, time horizon, risk tolerance & life stages.
Correlation vs. Covariance in Asset Allocation
Correlation vs. Covariance - We look at what it means for asset allocation. We provide a coding example & efficient frontier diagram.
Particle Filters in Finance & High-Frequency Trading
Particle Filtering or Sequential Monte Carlo Methods - Explanations, Applications, Risk Management & Coding Example with Diagram.
Cramer-Rao Lower Bound (CRLB)
Cramer-Rao Lower Bound (CRLB) - Both simple and technical explanation, theory, practical applications, and coding example.
Kalman Filters
We look at Kalman Filters and their application to finance. We do a Python code example and diagrams showing parameter estimation.
Extreme Value Theory (EVT)
We look at Extreme Value Theory (EVT) in trading. How to measure tail risk. Included is a Python code example.