Stochastic Processes and Applications in Finance by Jamie Flux (.PDF)

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File Size: 2.90 MB

Stochastic Processes and Their Applications in Finance: With Python by Jamie Flux
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Overview: Unlock the mysteries of financial modeling with this comprehensive guide to probability theory and stochastic processes. Starting from the basics, you’ll delve into random variables, expectation, and conditional probability, building a rock-solid foundation. Journey through stochastic processes as you explore essential concepts like stationarity and ergodicity, and see how these principles apply directly to the financial markets.

Discover the crucial financial applications that every professional needs to know, with in-depth coverage of the Black-Scholes model, Monte Carlo methods, stochastic volatility models, and interest rate models. Gain insights into credit risk modeling and algorithmic trading techniques that will set you apart in the competitive landscape of finance.
Genre: Non-Fiction > Tech & Devices, Finance, Economics, Python, Programming, Business

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https://rapidgator.net/file/f6fedf3e17f637463a08c1c553067b6a/B0D8ZKWSM2.pdf.html