A Practical Guide to Quantitative Portfolio Trading

Paper: SSRN 2543802

Abstract

We discuss risk, preference and valuation in classical economics, which led academics to develop a theory of market prices, resulting in the general equilibrium

Complexity vs Empirical Score

• Math Complexity: 7.5/10
• Empirical Rigor: 3.0/10
• Quadrant: Lab Rats — theoretically deep, empirically untested

Why this score: The text contains dense mathematical theory including pricing kernels, measure changes, and factor models, but provides no backtesting data, code, or implementation details for the strategies discussed.

Research Flowchart

  flowchart TD
  A["Research Goal: Develop<br>Multi-Asset Portfolio Trading Strategy"] --> B["Methodology: General Equilibrium Theory"]
  B --> C["Data: Risk Preferences &<br>Market Price Inputs"]
  C --> D["Computational Process:<br>Valuation & Optimization"]
  D --> E["Outcome: Executable<br>Quantitative Portfolio"]