menu
{ "item_title" : "Financial Mathematics with Python", "item_author" : [" Danny Munrow", "Hayden Van Der Post "], "item_description" : "Reactive PublishingFinancial Mathematics with Python is a practical guide to the quantitative methods used in modern finance, investment analysis, and risk modeling. Written for readers who want to connect financial theory with computational implementation, this book introduces core mathematical concepts through clear explanations and Python-based examples.The book covers interest rate calculations, bond pricing, yield measures, duration, convexity, derivative valuation, risk modeling, and portfolio analysis. Each topic is presented with an emphasis on understanding the logic behind the calculations, translating formulas into code, and applying financial mathematics in structured analytical workflows.Rather than treating Python as an afterthought, this book uses programming as a natural extension of financial reasoning. Readers will learn how to build reusable calculations, model cash flows, evaluate securities, simulate financial outcomes, and analyze risk across different financial instruments.Inside, readers will explore: Interest rate mathematics and time value of moneyBond pricing, yield curves, duration, and convexityDerivative pricing concepts and computational valuation methodsRisk measures, volatility, scenario analysis, and model assumptionsPortfolio calculations, returns, covariance, diversification, and allocation logicPython workflows for financial modeling and quantitative analysisFinancial Mathematics with Python is designed for students, analysts, finance professionals, and technically minded readers who want a rigorous but accessible foundation in computational finance. Whether used for study, professional development, or independent research, this book provides a structured pathway into the mathematics that supports financial decision-making.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/819/686/9798196860386_b.jpg", "price_data" : { "retail_price" : "39.99", "online_price" : "39.99", "our_price" : "39.99", "club_price" : "39.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Financial Mathematics with Python|Danny Munrow

Financial Mathematics with Python : Methods for Interest Rates, Bonds, Derivatives, Risk, and Portfolios

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Reactive Publishing

Financial Mathematics with Python is a practical guide to the quantitative methods used in modern finance, investment analysis, and risk modeling. Written for readers who want to connect financial theory with computational implementation, this book introduces core mathematical concepts through clear explanations and Python-based examples.

The book covers interest rate calculations, bond pricing, yield measures, duration, convexity, derivative valuation, risk modeling, and portfolio analysis. Each topic is presented with an emphasis on understanding the logic behind the calculations, translating formulas into code, and applying financial mathematics in structured analytical workflows.

Rather than treating Python as an afterthought, this book uses programming as a natural extension of financial reasoning. Readers will learn how to build reusable calculations, model cash flows, evaluate securities, simulate financial outcomes, and analyze risk across different financial instruments.

Inside, readers will explore:

Interest rate mathematics and time value of money
Bond pricing, yield curves, duration, and convexity
Derivative pricing concepts and computational valuation methods
Risk measures, volatility, scenario analysis, and model assumptions
Portfolio calculations, returns, covariance, diversification, and allocation logic
Python workflows for financial modeling and quantitative analysis

Financial Mathematics with Python is designed for students, analysts, finance professionals, and technically minded readers who want a rigorous but accessible foundation in computational finance. Whether used for study, professional development, or independent research, this book provides a structured pathway into the mathematics that supports financial decision-making.

This item is Non-Returnable

Details

  • ISBN-13: 9798196860386
  • ISBN-10: 9798196860386
  • Publisher: Independently Published
  • Publish Date: May 2026
  • Dimensions: 9 x 6 x 1.33 inches
  • Shipping Weight: 1.41 pounds
  • Page Count: 536

Related Categories

You May Also Like...

    1

    1

BAM Customer Reviews