Previsão de taxas de câmbio: Modelos ARIMA, XGBoost, LSTM e Monte Carlo (Portuguese Edition)
by Kirti Wanjale, Aditya Wanjale
Discover effective models for exchange rate prediction in this insightful book. Covering ARIMA for time series, XGBoost for gradient boosting, LSTM for neural networks, and Monte Carlo simulations, it equips readers with practical tools for financial forecasting and decision-making in currency markets.
About This Book
This book delves into the application of various statistical and machine learning models for predicting exchange rates. It covers essential methodologies that are crucial for financial forecasting.
Authors Kirti Wanjale and Aditya Wanjale present a comprehensive guide tailored for those interested in quantitative finance. The content is structured to build understanding from foundational concepts to advanced implementations.
Whether you're a student, researcher, or professional in economics, this Portuguese edition offers valuable tools for accurate rate predictions in volatile markets.
The integration of traditional time series analysis with modern algorithms like LSTM highlights the evolving nature of forecasting techniques.
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