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
An Introduction to Statistical Learning with Applications in R
By : Gareth James • Daniela Witten • Trevor Hastie Robert Tibshirani
Artificial Neural Networks and Machine Learning – ICANN 2011, Part 1
By : Timo Honkela Włodzisław Duch
Pattern Recognition and Machine Learning Solutions to the Exercises: Tutors’ Edition
By : Christopher M. Bishop
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
- Python Challenging Programming Exercises Part 1
- Exploratory Data Analysis On Iris Dataset
- Avoiding the Beginner’s Trap: Key Python Fundamentals You Shouldn't Skip
- Datasets for Exploratory Data Analysis for Beginners
- What to Do When Your MySQL Table Grows Too Wide
- Data Analytics: The Power of Data-Driven Decision Making
- Extract RGB Color From a Image Using CV2
- Datasets for analyze in Tableau
- 10 Awesome Data Science Blogs To Check Out
- Datasets for Natural Language Processing
- Generative AI - The Future of Artificial Intelligence
- Store Data Into CSV File Using Python Tkinter GUI Library
- Python Challenging Programming Exercises Part 3
- The Ultimate Guide to Data Science: Everything You Need to Know
- Understanding AI, ML, Data Science, and More: A Beginner's Guide to Choosing Your Career Path
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