Sign-In
Cart
Stochastic Finance with Python: Design Financial Models from Probabilistic Perspective
Paperback
Investing & FinanceProgramming
Publisher Price: $64.99
Publisher: Apress
Published: Dec 14 2024
Pages: 396
Weight: 1.57
Height: 0.84 Width: 7.00 Depth: 10.00
Language: English
Journey through the world of stochastic finance from learning theory, underlying models, and derivations of financial models (stocks, options, portfolios) to the almost production-ready Python components under cover of stochastic finance. This book will show you the techniques to estimate potential financial outcomes using stochastic processes implemented with Python.
The book starts by reviewing financial concepts, such as analyzing different asset types like stocks, options, and portfolios. It then delves into the crux of stochastic finance, providing a glimpse into the probabilistic nature of financial markets. You'll look closely at probability theory, random variables, Monte Carlo simulation, and stochastic processes to cover the prerequisites from the applied perspective. Then explore random walks and Brownian motion, essential in understanding financial market dynamics. You'll get a glimpse of two vital modelling tools used throughout the book - stochastic calculus and stochastic differential equations (SDE).
Advanced topics like modeling jump processes and estimating their parameters by Fourier-transform-based density recovery methods can be intriguing to those interested in full-numerical solutions of probability models. Moving forward, the book covers options, including the famous Black-Scholes model, dissecting it from both risk-neutral probability and PDE perspectives. A chapter at the end also covers the discovery of portfolio theory, beginning with mean-variance analysis and advancing to portfolio simulation and the efficient frontier.
What You Will Learn
- Understand applied probability and statistics with finance
- Design forecasting models of the stock price with the stochastic process, Monte-Carlo simulation.
- Option price estimation with both risk-neutral probabilistic and PDE-driven approach.
- Use Object-oriented Python to design financial models with reusability.
Who This Book Is For
Data scientists, quantitative researchers and practitioners, software engineers and AI architects interested in quantitative finance
Also from
Nag, Avishek
Also in
Programming
Interactive Theorem Proving and Program Development: Coq'art: The Calculus of Inductive Constructions
Castéran, Pierre
Bertot, Yves
Hardcover
The Legend of Zelda(tm) Tears of the Kingdom - The Complete Official Guide: Collector's Edition
Piggyback
Hardcover
Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming
Matthes, Eric
Paperback
Crisis Engineering: Time-Tested Tools for Turning Chaos Into Clarity
Dickerson, Mikey
Nitze, Marina
Weaver, Matthew
Paperback
Embedded Systems with ARM Cortex-M Microcontrollers in Assembly Language and C: Fourth Edition
Zhu, Yifeng
Paperback
Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations
Forsgren Phd, Nicole
Humble, Jez
Kim, Gene
Paperback
Vibe Coding: Building Production-Grade Software with Genai, Chat, Agents, and Beyond
Kim, Gene
Yegge, Steve
Paperback
The Legend of Zelda(tm) Tears of the Kingdom - The Complete Official Guide: Standard Edition
Piggyback
Paperback
Fundamentals of Software Architecture: A Modern Engineering Approach
Richards, Mark
Ford, Neal
Paperback
I Have an App Idea: The Essential Guide to Building an App Without Tech Skills
Spann, Amanda
Paperback
Make: Electronics: Learning by Discovery: A Hands-On Primer for the New Electronics Enthusiast
Platt, Charles
Paperback
AI Projects with Raspberry Pi: High-Performance Artificial Intelligence for Robotics, Security, Home Automation, and Vision
Hattersley, Lucy
Jepson, Brian
Paperback
The Manager's Path: A Guide for Tech Leaders Navigating Growth and Change
Fournier, Camille
Paperback
The Devops Handbook, 2nd Edition: How to Create World-Class Agility, Reliability, & Security in Technology Organizations
Kim, Gene
Humble, Jez
Debois, Patrick
Paperback
Building Applications with AI Agents: Designing and Implementing Multiagent Systems
Albada, Michael
Paperback
The Staff Engineer's Path: A Guide for Individual Contributors Navigating Growth and Change
Reilly, Tanya
Paperback
The Developer's Guide to AI: A Field Guide for the Working Developer
Reghunadh, Jerry M.
Thompson, Danny
Orshalick, Jacob
Paperback
Cracking the Coding Interview: 189 Programming Questions and Solutions
McDowell, Gayle Laakmann
Paperback
The New AI Cold War: Liberty vs. Tyranny in the Age of Machine Empires
Maginnis, Ltc Robert L.
Paperback
Learning Web Design: A Beginner's Guide to Html, Css, Javascript, and Web Images
Robbins, Jennifer
Paperback
Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures
Richards, Mark
Sadalage, Pramod
Ford, Neal
Paperback
The Return on AI: From Promise to Profit in the Age of Intelligent Business
Mittal, Ashwin
Sawhney, Mohanbir
Paperback
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Shields, Walter
Hardcover
Observability Engineering: Achieving Production Excellence
Fong-Jones, Liz
Miranda, George
Majors, Charity
Paperback
Forecasting: Principles and Practice, the Pythonic Way
Hyndman, Rob J.
Athanasopoulos, George
Paperback
The Pragmatic Programmer: Your Journey to Mastery, 20th Anniversary Edition
Thomas, David
Hunt, Andrew
Hardcover
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
Occupytheweb
Paperback
The Official Raspberry Pi Handbook 2026: Astounding Projects with Raspberry Pi Computers
Makers of Raspberry Pi Official Magazine, The
Paperback
Generative AI Design Patterns: Solutions to Common Challenges When Building Genai Agents and Applications
Hapke, Hannes
Lakshmanan, Valliappa
Paperback
Head First Design Patterns: Building Extensible and Maintainable Object-Oriented Software
Freeman, Eric
Robson, Elisabeth
Paperback
Frictionless: 7 Steps to Remove Barriers, Unlock Value, and Outpace Your Competition in the AI Era
Noda, Abi
Forsgren, Nicole
Paperback
Concrete Mathematics: A Foundation for Computer Science
Graham, Ronald
Patashnik, Oren
Knuth, Donald
Hardcover
Arduino Programming for Beginners: A Comprehensive Beginner's Guide to Learn the Realms of Arduino Programming from A-Z
Protosmith, Ada
Paperback
Learning Domain-Driven Design: Aligning Software Architecture and Business Strategy
Khononov, Vlad
Paperback
Building AI-Powered Products: The Essential Guide to AI and Genai Product Management
Nika, Marily
Paperback
Grokking Algorithms, Second Edition: An Illustrated Guide for Programmers and Other Curious People
Bhargava, Aditya Y.
Paperback
Debugging: The 9 Indispensable Rules for Finding Even the Most Elusive Software and Hardware Problems
Agans, David J.
Paperback
Learning Generative AI Tools for Excel: Speed Up Your Everyday Tasks with Microsoft Excel, Copilot, Chatgpt, and Beyond
Duca, Angelica Lo
Paperback
Site Reliability Engineering: How Google Runs Production Systems
Beyer, Betsy
Murphy, Niall Richard
Jones, Chris
Paperback
The Software Architect Elevator: Redefining the Architect's Role in the Digital Enterprise
Hohpe, Gregor
Paperback
Learning Php, MySQL & JavaScript: A Step-By-Step Guide to Creating Dynamic Websites
Nixon, Robin
Paperback
Computer Science from Scratch: Building Interpreters, Art, Emulators and ML in Python
Kopec, David
Paperback
Python Programming for Young Coders: A Hands-On, Project-Based Introduction to Coding for Beginners, Kids, and Teens
Pandey, Anand
Paperback
Building Safer Technology: A Field Guide to Failing Well
Kissner, Lea
Zunger, Yonatan
Coles, Neil
Paperback
Software Engineering at Google: Lessons Learned from Programming Over Time
Winters, Titus
Manshreck, Tom
Wright, Hyrum
Paperback
Articulating Design Decisions: Communicate with Stakeholders, Keep Your Sanity, and Deliver the Best User Experience
Greever, Tom
Paperback
Prompt Engineering for Llms: The Art and Science of Building Large Language Model-Based Applications
Berryman, John
Ziegler, Albert
Paperback
Pro C# 10 with .Net 6: Foundational Principles and Practices in Programming
Japikse, Phil
Troelsen, Andrew
Paperback
Adobe Photoshop, 2nd Edition: A Complete Course and Compendium of Features
Laskevitch, Stephen
Paperback
Living a Jewish Life, Revised and Updated: Jewish Traditions, Customs, and Values for Today's Families
Diamant, Anita
Cooper, Howard
Paperback
Build an AI Agent (from Scratch): Agents That Reason, Plan, and ACT Autonomously
Hur, Jungjun
Song, Younghee
Paperback
Kubernetes in Action, Second Edition: Deploying and Managing Containers and Cloud-Native Applications
Luksa, Marko
Conner, Kevin
Paperback
Electronic Music and Sound Design - Theory and Practice with Max 9 - Volume 1 (Fifth Edition)
Cipriani, Alessandro
Maurizio, Giri
Paperback
Spies, Lies, and Algorithms: The History and Future of American Intelligence
Zegart, Amy B.
Paperback
Programming Massively Parallel Processors: A Hands-On Approach
Kirk, David B.
El Hajj, Izzat
Hwu, Wen-Mei W.
Paperback