Stochastic Modelling of Big Data in Finance

Discover the cutting-edge insights in "Stochastic Modelling of Big Data in Finance" by Anatoliy Swishchuk, published by Taylor & Francis Ltd in 2022. This comprehensive hardback edition spans 280 pages and offers a rigorous exploration of stochastic modeling techniques tailored for the financial sector.

Delve into various stochastic models, including multivariate approaches, designed to effectively manage and analyze big data in finance. The book addresses crucial applications in high-frequency and algorithmic trading, with a special focus on limit order books (LOB). Whether you're a finance professional, researcher, or student, this book serves as an invaluable resource for understanding the complexities of big data in the financial landscape.

Enhance your knowledge and skills with this essential guide to stochastic modeling in finance!