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Applied Stochastic Processes in Finance

Applied Stochastic Processes in Finance

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Description
This book presents a comprehensive synthesis of the research works conducted by Professor Mohammed Bouasabah on the application of stochastic processes in finance. It explores how randomness and uncertainty can be modeled, quantified, and used to understand and forecast financial phenomena.Through six interconnected chapters, the author examines both classical and modern stochastic frameworks - including the Geometric Brownian Motion (GBM), the Vasicek and Heston models - and applies them to real financial data such as exchange rates, stock market indices, and derivative instruments.The book also investigates parameter calibration techniques, optimization approaches for stochastic volatility models, and the integration of stochastic processes with machine learning algorithms for predictive analysis. Beyond their mathematical formulation, these models are presented as practical tools for financial decision-making, technical analysis, and risk assessment.The work emphasizes the balance between theoretical rigor and empirical validation, illustrating how stochastic modeling remains a cornerstone of modern quantitative finance.
Product details
Binding:
Paperback
Number of Pages:
84
Release Date:
2025-10-24
Publication Date:
2025-10-24
Publisher:
GlobeEdit
Languages:
Original: English
ISBN10:
620916000X
ISBN13:
9786209160004
Weight:
143 g
Height:
150 cm
Width:
220 cm
Thickness:
6 cm
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