Comprehensive Analysis of Exchange Rate Prediction: Influencing Factors, Methodologies, and Future Prospects

Yunzhong Yu

2024

Abstract

With the deepening of global economic integration and the increasing complexity of financial markets, exchange rate forecasting has become increasingly important in economics and finance research. Exchange rate fluctuations not only directly affect the international trade, but also profoundly impact investment decisions and the formulation of monetary policies. Accurate exchange rate forecasts provide valuable decision-making support for investors, policymakers, and enterprises, assisting them in managing market fluctuations and economic uncertainty more effectively. This paper reviews the current research status in exchange rate forecasting, focusing on the factors affecting exchange rates, forecasting methods based on machine learning and deep learning, and the limitations of existing technologies. First, this paper systematically introduces various economic factors that affect exchange rate fluctuations, including macroeconomic indicators, market sentiment, political events, and international trade. Secondly, this paper reviews existing exchange rate forecasting methods, including machine learning and deep learning techniques, as well as their performance in forecasting accuracy and data processing capabilities, as well as their advantages and limitations in practical applications. By deeply understanding the influencing factors and optimizing the forecasting methods, the reliability of exchange rate forecasting can be significantly improved, thereby providing more effective decision-making support for financial market participants and policymakers.

Paper Citation

in Harvard Style

Yu Y. (2024). Comprehensive Analysis of Exchange Rate Prediction: Influencing Factors, Methodologies, and Future Prospects. In Proceedings of the 1st International Conference on E-commerce and Artificial Intelligence - Volume 1: ECAI; ISBN 978-989-758-726-9, SciTePress, pages 200-204. DOI: 10.5220/0013212800004568

in Bibtex Style

@conference{ecai24,
author={Yunzhong Yu},
title={Comprehensive Analysis of Exchange Rate Prediction: Influencing Factors, Methodologies, and Future Prospects},
booktitle={Proceedings of the 1st International Conference on E-commerce and Artificial Intelligence - Volume 1: ECAI},
year={2024},
pages={200-204},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013212800004568},
isbn={978-989-758-726-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on E-commerce and Artificial Intelligence - Volume 1: ECAI
TI - Comprehensive Analysis of Exchange Rate Prediction: Influencing Factors, Methodologies, and Future Prospects
SN - 978-989-758-726-9
AU - Yu Y.
PY - 2024
SP - 200
EP - 204
DO - 10.5220/0013212800004568
PB - SciTePress