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Item #:
122946167
Stochastic Finance with Python: Design Financial Models from Probabilistic Perspective First Edition
88% of respondents would recommend this to a friend
Item #:
122946167
SAR 238
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What Stands Out
Probabilistic Models
Empowers readers to design robust financial models through a solid understanding of stochastic processes, enhancing decision-making and risk management capabilities.
Python Integration
Offers practical coding examples, allowing users to apply theoretical concepts directly in Python, bridging the gap between finance theory and real-world application.
Comprehensive Framework
Equips finance professionals with a framework for analyzing complex market behaviors, providing a competitive edge in developing innovative solutions to contemporary financial problems.
Product Details
| Publisher | Apress |
| Publication date | December 14, 2024 |
| Edition | First Edition |
| Language | English |
| Print length | 412 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?
-
Data Scientists
Ideal for data scientists looking to apply stochastic models in finance using Python for advanced data analysis.
-
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.
Product Description
Stochastic Finance with Python: Design Financial Models from Probabilistic Perspective First Edition
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Pros
- Comprehensive content coverage
- User-friendly coding examples
- Strong theoretical foundation
- Practical real-world applications
- Engaging writing style
Cons
- Some might find it too detailed at times.
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