Isbn: 9786208421335 - forecasting forex rates: arima, xgboost, lstm, and monte carlo models

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The process of converting one currency into another for a variety of purposes-most commonly trade, tourism, or commerce-is known as foreign exchange, or forex (FX). As exchange rate pairs, currencies are traded against one another. For instance, the currency pair EUR/USD allows traders to trade the euro versus the US dollar, while GBP/JPY (British Pound/Japanese Yen). Foreign exchange (Forex) markets, as the world's largest financial arena, demand robust forecasting strategies to navigate their dynamic and complex nature. This research undertakes a thorough comparative analysis of forecasting models spanning two decades, from 2000 to 2019, utilizing data from the Federal Reserve's time series. The project delves into the core of Forex rate forecasting, addressing the critical need for accuracy in predicting exchange rate movements. In this context, the research scrutinizes the efficacy of diverse models, including traditional AutoRegressive Integrated Moving Average (ARIMA), machine learning's XGBoost, deep learning's Long Short-Term Memory (LSTM), and the unique perspective offered by Monte Carlo simulations.…

Forecasting Forex Rates: ARIMA, XGBoost, LSTM, and Monte Carlo Models

Kirti Wanjale

Idioma: Inglés

Editorial: LAP LAMBERT Academic Publishing Jan 2025, 2025

6208421330 / 9786208421335

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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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EUR 43,90

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Cantidad disponible: 1 disponibles

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The process of converting one currency into another for a variety of purposes-most commonly trade, tourism, or commerce-is known as foreign exchange, or forex (FX). As exchange rate pairs, currencies are traded against one another. For instance, the currency pair EUR/USD allows traders to trade the euro versus the US dollar, while GBP/JPY (British Pound/Japanese Yen). Foreign exchange (Forex) markets, as the world's largest financial arena, demand robust forecasting strategies to navigate their dynamic and complex nature. This research undertakes a thorough comparative analysis of forecasting models spanning two decades, from 2000 to 2019, utilizing data from the Federal Reserve's time series. The project delves into the core of Forex rate forecasting, addressing the critical need for accuracy in predicting exchange rate movements. In this context, the research scrutinizes the efficacy of diverse models, including traditional AutoRegressive Integrated Moving Average (ARIMA), machine learning's XGBoost, deep learning's Long Short-Term Memory (LSTM), and the unique perspective offered by Monte Carlo simulations.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.…

Isbn: 9786208421335 - forecasting forex rates: arima, xgboost, lstm, and monte carlo models (11 resultados)

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Forecasting Forex Rates: ARIMA, XGBoost, LSTM, and Monte Carlo Models

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Forecasting Forex Rates: ARIMA, XGBoost, LSTM, and Monte Carlo Models

Forecasting Forex Rates: ARIMA, XGBoost, LSTM, and Monte Carlo Models

Forecasting Forex Rates: ARIMA, XGBoost, LSTM, and Monte Carlo Models

Forecasting Forex Rates: ARIMA, XGBoost, LSTM, and Monte Carlo Models

Forecasting Forex Rates: ARIMA, XGBoost, LSTM, and Monte Carlo Models

Forecasting Forex Rates: ARIMA, XGBoost, LSTM, and Monte Carlo Models

Forecasting Forex Rates: ARIMA, XGBoost, LSTM, and Monte Carlo Models