Your Cart
Loading

The Quantitative Country Analyst: A Data-Driven Guide to Global Mobility

On Sale
$4.95
$4.95
Added to cart

Today, navigating the complexities of international relocation and investment requires more than intuition—it demands data-driven insights. 'The Quantitative Country Analyst' equips readers with the tools and techniques to master this intricate landscape. This comprehensive guide transcends conventional wisdom, offering a rigorous, quantitative approach to country analysis. Readers can dive into ten hands-on chapters, demystifying advanced methodologies like weighted indexing, effect coding, and regression modeling. They will learn to construct custom-tailored challenger indexes, moving beyond generic assessments to address unique client needs. Whether individuals are international analysts, relocation consultants, or foreign investment brokers, this book empowers them to provide precise, personalized advice. The book explores in-depth analyses of twenty-five highly sought-after countries, leveraging the latest 2025 Numbeo population data for accurate, apples-to-apples comparisons. It uncovers hidden opportunities and potential savings by examining critical factors like quality of life, cost of living, healthcare access, safety, property prices, climate, pollution, etc.

This guide doesn't just present data; it teaches readers how to model and interpret it. From a foundational chapter reorienting analysts with fundamental statistical measures to practical appendices, they will gain the skills to analyze, model, and compare countries effectively. Readers will discover how to leverage data analysis and quantitative modeling to develop and communicate strategic decisions in global mobility, retirement planning, and real estate investment. Whether the readers are seasoned professionals or simply curious about applying data science to country-level analysis, 'The Quantitative Country Analyst' is an essential guide for navigating the global landscape with confidence and precision.

 

By Sid Som, MBA, MIM

Copyright March 2025

ISBN: 9798314406380


You will get a PDF (3MB) file