Derivatives Analytics with Python
Book Details
| Author | YVES HILPISCH |
|---|---|
| Publisher | |
| Published Year | 2015 |
| Pages | 377 |
| Language | English |
| ISBN-10 | |
| ISBN-13 |
Derivatives Analytics with Python by Yves Hilpisch is a practical guide that bridges financial theory and programming using Python. It focuses on implementing derivatives valuation and risk management models, including Monte Carlo simulations, numerical methods, and the pricing of options. Designed for quants, financial analysts, and students, the book combines real-world finance problems with robust Python code, enabling readers to build their own analytics and trading tools.
Add to Bookmark
Recommended Books For You
Artificial Neural Networks and Machine Learning – ICANN 2011, Part 1
By : Timo Honkela Włodzisław Duch
An Introduction to Statistical Learning with Applications in R
By : Gareth James • Daniela Witten • Trevor Hastie Robert Tibshirani
Prepare for Interview
- JavaScript Interview Questions for 5+ Years Experience
- JavaScript Interview Questions for 2–5 Years Experience
- JavaScript Interview Questions for 1–2 Years Experience
- JavaScript Interview Questions for 0–1 Year Experience
- JavaScript Interview Questions For Fresher
- SQL Interview Questions for 5+ Years Experience
- SQL Interview Questions for 2–5 Years Experience
- SQL Interview Questions for 1–2 Years Experience
- SQL Interview Questions for 0–1 Year Experience
- SQL Interview Questions for Freshers
- Design Patterns in Python
- Dynamic Programming and Recursion in Python
- Trees and Graphs in Python
- Linked Lists, Stacks, and Queues in Python
- Sorting and Searching in Python
- Debugging in Python
- Unit Testing in Python
- Asynchronous Programming in PYthon
Tutorials
Follow us on Linkedin
Random Blogs
- The Ultimate Guide to Starting a Career in Computer Vision
- Government Datasets from 50 Countries for Machine Learning Training
- How to Start Your Career as a DevOps Engineer
- Extract RGB Color From a Image Using CV2
- The Beginner’s Guide to Normalization and Denormalization in Databases
- Understanding OLTP vs OLAP Databases: How SQL Handles Query Optimization
- 5 Ways Use Jupyter Notebook Online Free of Cost
- Top 15 Recommended SEO Tools
- Time Series Analysis on Air Passenger Data
- 15 Amazing Keyword Research Tools You Should Explore
- Best Platform to Learn Digital Marketing in Free
- Downlaod Youtube Video in Any Format Using Python Pytube Library
- Big Data: The Future of Data-Driven Decision Making
- What is YII? and How to Install it?
- The Ultimate Guide to Artificial Intelligence (AI) for Beginners
- Quantum AI – The Future of AI Powered by Quantum Computing
Datasets for Machine Learning
- Awesome-ChatGPT-Prompts
- Amazon Product Reviews Dataset
- Ozone Level Detection Dataset
- Bank Transaction Fraud Detection
- YouTube Trending Video Dataset (updated daily)
- Covid-19 Case Surveillance Public Use Dataset
- US Election 2020
- Forest Fires Dataset
- Mobile Robots Dataset
- Safety Helmet Detection
- All Space Missions from 1957
- OSIC Pulmonary Fibrosis Progression Dataset
- Wine Quality Dataset
- Google Audio Dataset
- Iris flower dataset