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Stochastic Finance with Python: Design Financial Models from Probabilistic Perspective
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RSD 7378
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This book will show you the techniques to estimate potential financial outcomes using stochastic processes implemented with Python.
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Детаљи о производу
| Publisher | Apress |
| Publication date | December 14, 2024 |
| Edition | First Edition |
| Language | English |
| Print length | 410 pages |
| ISBN-13 | 979-8868810510 |
| Item Weight | 1.57 pounds (710 grams) |
| Dimensions | 7.01 x 0.93 x 10 inches (17.8 x 2.4 x 25.4 cm) |
| Country of Origin | This item will be imported from US |
| Date First Available | February 18, 2025 |
| What is in the box | Stochastic Finance with Python:... For more details, please check description/product details |
Who Should Buy?
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Data Scientists
Ideal for data scientists looking to apply stochastic models in finance using Python for advanced data analysis.
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Finance Students
Provides a practical approach to stochastic finance concepts, beneficial for students studying finance-related courses.
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Quantitative Analysts
Great resource for quantitative analysts wanting to deepen their knowledge of probabilistic modeling in finance.
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Beginners in Finance
Not suitable for those without prior finance knowledge, as it assumes familiarity with complex financial concepts.
OPIS PROIZVODA
Stochastic Finance with Python: Design Financial Models from Probabilistic Perspective
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Corporate Finance Editorial Review
Stochastic Finance with Python: Design Financial Models from Probabilistic Perspective offers an insightful exploration into the world of financial modeling using Python. The book, published by Apress, spans 410 pages and is designed for readers with an interest in probabilistic perspectives in finance. Readers appreciate the comprehensive approach and the first edition promises clarity in complex concepts. A standout feature is its practical focus, making it accessible even for those new to financial modeling. It's printed in English and contains a wealth of information ideal for both students and professionals in finance.
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Прос
- Comprehensive approach to financial modeling
- Practical focus on real-world applications
- Ideal for both students and professionals
- First edition offers fresh insights
- Clear explanations of complex concepts
Цонс
- A bit heavy for casual reading sessions
Product Price History
Važna informacija
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RSD 7378
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Карактеристике и предности
- Learn to estimate financial outcomes with stochastic processes.
- Discover advanced financial modeling techniques using Python.
- Explore key concepts like probability theory and Monte Carlo simulation.
- Understand options pricing through risk-neutral probability and PDE approaches.
- Design reusable financial models with object-oriented Python.
- Ideal for data scientists, quantitative researchers, and financial practitioners.
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