Advanced Stochastic Models in Finance and Economics (FINANCIAL ENGINEERING) (eBook, ePUB)
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Advanced Stochastic Models in Finance and Economics" is a comprehensive guide to the mathematical techniques and stochastic models used to analyze complex financial systems. This ebook provides expert insights, real-world examples, and practical advice for finance professionals, economists, and researchers seeking to master advanced stochastic models.Discover how to:Understand the fundamentals of stochastic processes, including Markov chains, random walks, and diffusion processesApply advanced stochastic models, including jump-diffusion models, stochastic volatility models, and regime-switchin...
Advanced Stochastic Models in Finance and Economics" is a comprehensive guide to the mathematical techniques and stochastic models used to analyze complex financial systems. This ebook provides expert insights, real-world examples, and practical advice for finance professionals, economists, and researchers seeking to master advanced stochastic models.
Discover how to:
This ebook covers key topics such as:
This ebook is divided into four parts:
Discover how to:
- Understand the fundamentals of stochastic processes, including Markov chains, random walks, and diffusion processes
- Apply advanced stochastic models, including jump-diffusion models, stochastic volatility models, and regime-switching models, to analyze complex financial systems
- Master mathematical techniques, including stochastic calculus, martingale theory, and numerical methods, to solve stochastic models and analyze financial data
- Develop and implement effective stochastic model-based strategies for finance applications, including option pricing, risk management, and portfolio optimization
This ebook covers key topics such as:
- Introduction to stochastic processes: fundamentals, types, and applications
- Advanced stochastic models: jump-diffusion models, stochastic volatility models, and regime-switching models
- Mathematical techniques for stochastic models: stochastic calculus, martingale theory, and numerical methods
- Applications of stochastic models in finance: option pricing, risk management, and portfolio optimization
- Emerging trends and future directions: machine learning, artificial intelligence, and big data analytics
This ebook is divided into four parts:
- Introduction to Stochastic Processes
- Advanced Stochastic Models
- Mathematical Techniques for Stochastic Models
- Applications and Emerging Trends
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