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Portfolio Management in Continuous Time

Numerical Applications in R and Python. DE

Language EnglishEnglish
Book Paperback
Book Portfolio Management in Continuous Time Francesco Menoncin
Libristo code: 49317521
Publishers Springer, Berlin, December 2025
This textbook covers essential topics in quantitative finance, including stochastic calculus, portfo... Full description
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This textbook covers essential topics in quantitative finance, including stochastic calculus, portfolio optimization (static and dynamic), and risk-neutral pricing. Combining financial theory with real-world applications, the book presents a step-by-step guide to modelling financial data in continuous time using R and Python. The side-by-side presentation of the two software languages allows readers to grasp the similarities and differences between the two codes, while guiding them through models calibrated with actual market data that illustrate the quantitative characteristics of optimal portfolios.

Reinforced with pedagogical features including accompanying online datasets and numerical exercises to understand stochastic processes, this textbook will be a valuable resource for postgraduate students on corporate finance, quantitative finance, portfolio and investment management, risk management and actuarial courses, as well as finance professionals undertaking quantitative modelling.

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About the book

Full name Portfolio Management in Continuous Time
Author Francesco Menoncin
Language English
Binding Book - Paperback
Date of issue 2025
Number of pages 250
EAN 9783031999093
Libristo code 49317521
Publishers Springer, Berlin
Dimensions 155 x 235

Categories

Economics, Finance, Business & Management > Finance & accounting > Finance > Corporate finance
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