Overview

Stop guessing future outcomes. Answering Investment Questions Using Data Science gives you the econometric toolkit behind modern finance-without heavy math or matrix algebra. In nine hands-on chapters you'll learn how to structure investment questions, run the right models, and interpret results you can trust. What you'll learn Regression that fits markets: Build, diagnose, and improve models for returns, spreads, and risk. Predict expected returns: Apply Fama-MacBeth techniques to select investments-and know their limits. Causal answers: Use difference-in-differences and instrumental variables to separate correlation from causation. Practical risk modeling: Work with factor models (Barra-style), Value at Risk (VaR), and GARCH to measure and manage risk. From classroom to desk: Examples drawn from quant investing, portfolio construction, and regulatory stress tests. Who it's for Finance students, aspiring quants, early-career analysts, and senior professionals (PMs, risk leaders, executives) who want to understand the field intuitively-without diving into heavy math or matrix algebra. By the end, you'll know various methods to use, how to avoid common pitfalls, and how to communicate results that withstand scrutiny.

Full Product Details

9798264967856

Table of Contents

Reviews

Author Information

Tab Content 6

Countries Available