BUILD Exercises

60+

Total Exercises

Modules

Difficulty Levels

Python

Primary Language

All Valuation Portfolio Risk Derivatives Execution

VAL-01

Three-Statement DCF Model

Build a complete DCF from income statement projections to equity value

VALUATION FOUNDATIONAL

VAL-02

Terminal Value Sensitivity Matrix

Create WACC × Growth sensitivity table with conditional formatting

VALUATION INTERMEDIATE

VAL-03

Trading Comparable Analysis

Screen, select, and apply multiples to derive implied value range

VALUATION INTERMEDIATE

PRT-01

Mean-Variance Optimization

Implement quadratic portfolio optimization with cvxpy

PORTFOLIO FOUNDATIONAL

PRT-02

Black-Litterman Implementation

Build the full B-L model with equilibrium prior and view blending

PORTFOLIO INTERMEDIATE

RSK-01

Historical VaR Implementation

Build historical simulation VaR with proper P&L calculation

RISK FOUNDATIONAL

RSK-02

Monte Carlo VaR

Implement correlated multi-asset Monte Carlo simulation

RISK INTERMEDIATE

DRV-01

Black-Scholes Implementation

Implement BSM formula with all Greeks from first principles

DERIVATIVES FOUNDATIONAL

DRV-02

Implied Volatility Solver

Extract implied vol from market prices using Newton-Raphson

DERIVATIVES INTERMEDIATE

EXE-01

Implementation Shortfall Calculator

Decompose execution costs into delay, trading, and opportunity

EXECUTION FOUNDATIONAL

BUILD Methodology

Specification

Each exercise includes clear inputs, expected outputs, and acceptance criteria. No ambiguity about what "done" means.

Implementation

You write the code from scratch in a Jupyter environment. Reference the book chapters, but implement yourself.

Validation

Automated tests verify your implementation against known correct outputs. Edge cases are explicitly tested.

Extension

Advanced exercises extend your solution to handle real-world complications: missing data, constraints, edge cases.

BUILD Methodology

Specification

Implementation

Validation

Extension

Start Building