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Č. položky:
62070501
Wiley Finance Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging, Hardcover
Č. položky:
62070501
€ 98
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Derivatives Analytics with Python shows you how to implement market-consistent valuation and hedging approaches using advanced financial models, efficient numerical techniques, and the powerful capabilities of the Python programming language.
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What Stands Out
Comprehensive Analytics
Offers in-depth coverage of derivatives analytics, combining data analysis, models, and simulations for practical financial decision-making.
Python Integration
Utilizes Python for data analysis, empowering users to apply programming techniques for real-time financial modeling and simulations.
Expert Guidance
Authored by finance experts, providing practical insights and methodologies for calibration and hedging strategies in derivatives.
Detaily produktu
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Business & Investing |
| Publication date | August, 2015 |
| Pages | 384 |
| Reading level | Professional & Vocational |
| Subgenre | Finance |
| Series title | Wiley Finance |
| Edition | 1 |
| Publisher | Wiley |
| Original languages | English |
| Language | English |
| Is collectible | N |
| Binding type | Case Binding |
| Retail packaging | Single Piece |
| Assembled product height | 9.7 in (24.6 cm) |
| Assembled product weight | 1.75 lb (790 grams) |
| Bisac subject heading | Business & Economics |
Who Should Buy?
-
Finance Professionals
Ideal for finance analysts and traders looking to enhance their quantitative skills in derivatives trading and risk management.
-
Data Scientists
Provides valuable insights and practical applications for data scientists focused on financial modeling and analytics using Python.
-
Students of Finance
Serves as a comprehensive resource for graduate students studying finance, derivatives, or quantitative methods in finance.
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Beginners in Finance
Not suitable for those who lack foundational knowledge of finance and derivatives concepts; may be overwhelming.
OPIS PRODUKTU
Wiley Finance Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging, Hardcover
About This Item
Looking to up your game in the world of finance? Look no further than Wiley Finance's Derivatives Analytics with Python. This hardcover book, authored by Yves Hilpisch, offers in-depth data analysis, models, simulation, calibration, and hedging strategies to help you become an expert in derivatives trading. With Python for finance and advanced options trading strategies, this book is the ideal guide for anyone invested in quantitative finance modeling, hedge fund risk management, options pricing models, credit risk management, financial risk modeling, stochastic calculus, financial engineering, and more.
Learn about machine learning for finance, portfolio optimization, time series analysis, Black Scholes model, volatility surface modeling, basket option pricing, interest rate derivatives, credit derivatives, hedging strategies, Monte Carlo simulation, pricing and valuation, risk management for derivatives, financial modeling, and analysis. Whether you're a seasoned finance professional or just starting out, Derivatives Analytics with Python is a must-read for anyone looking to grow their skill set and excel in this ever-evolving industry. Order your copy today!.
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€ 98
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Funkcie a výhody
- Implement market-consistent valuation and hedging using Python
- Learn advanced financial models and efficient numerical techniques
- Benefit from 5,000+ lines of code provided for reproducibility
- Exploit Python's capabilities for efficient derivatives analytics
- Reproduce major stylized facts of equity and options markets
- Integrate advanced models and numeric methods to dynamically hedge options
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