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Advanced Financial Modeling for Stock Price Prediction: A Quantitative Methods

-15% su kodu: ENG15
107,53 
Įprasta kaina: 126,50 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
107,53 
Įprasta kaina: 126,50 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 126.5000 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 20,00 

Knygos aprašymas

This third edition in the "Stock Predictions" series builds upon its predecessors, offering a deep dive into the quantitative methods used in stock price prediction. It presents a comprehensive guide to advanced financial models, ranging from the foundational Brownian Motion to cutting-edge machine learning techniques. The book explores key concepts like Geometric Brownian Motion for modeling exponential growth, Mean Reversion Models for capturing price reversion tendencies, and GARCH models for understanding volatility. It also delves into the world of machine learning, showcasing how Support Vector Machines, Neural Networks, and LSTMs can enhance prediction accuracy. Monte Carlo simulations and Copula Models are further discussed for their roles in risk assessment and portfolio management. Throughout the book, mathematical formulations, parameter estimation techniques, and practical applications are presented with clarity. The strengths and limitations of each model are highlighted, enabling readers to make informed choices. This edition is an invaluable resource for anyone in finance and investments seeking to master the quantitative tools used in stock price prediction.

Informacija

Autorius: Azhar Ul Haque Sario
Leidėjas: Scholars' Press
Išleidimo metai: 2024
Knygos puslapių skaičius: 168
ISBN-10: 6206774783
ISBN-13: 9786206774785
Formatas: 220 x 150 x 11 mm. Knyga minkštu viršeliu
Kalba: Anglų

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