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A Hybrid Neural Network Model Based on Transfer Learning for Forecasting Forex Market: 《Journal of Data Analysis and Information Processing》2023年第2期103-120,共18页Salum Hassan Faru Anthony Waititu Lawrence Nderu; The forecasting research literature has developed greatly in recent years as a result of advances in information technology. Financial time-series tasks have made substantial use of machine learning and deep neural ne...; 关键词：Deep Learning Transfer Learning Time Series Analysis RNN LSTM

Forex Reserves as Ballast: 《Beijing Review》2023年第8期26-26,共1页Lan Xinzhen; According to the State Administration of Foreign Exchange,by the end of January,China’s foreign exchange(forex) reserves had hit $3.18 trillion,up by $56.8 billion,or 1.82 percent,over the end of 2022,the fourth mont...; 关键词：EXCHANGE FOREX RESERVES

FOREX RESERVES AS BALLAST: 《China Report ASEAN》2023年第2期80-80,共1页Lan Xinzhen; Steady growth of forex reserves makes it possible for China to bring currency-related risks under control more easily A ccording to the State Administration of Foreign Exchange,by the end of January,China’s foreign e...; 关键词：FOREX EXCHANGE ERV

Hong Kong's Offshore Renminbi Forex Market:Past,Present,and Future: 《China Forex》2022年第4期32-34,共3页HE Xiaobo; Hong Kong's offshore renminbi foreign exchange market has become an integral part of the international foreign exchange market after years of development.The market will continue to facilitate Hong Kong as an internat...; 关键词：MARKET OFFSHORE CONTINUE

Forecasting directional movement of Forex data using LSTM with technical and macroeconomic indicators被引量：1: 《Financial Innovation》2021年第1期1-36,共36页Deniz Can Yıldırım Ismail HakkıToroslu Ugo Fiore; Forex(foreign exchange)is a special financial market that entails both high risks and high profit opportunities for traders.It is also a very simple market since traders can profit by just predicting the direction of ...; 关键词：Time series FOREX Directional movement forecasting Technical and macroeconomic indicators LSTM

Dynamic spillovers between the term structure of interest rates,bitcoin,and safe‑haven currencies被引量：4: 《Financial Innovation》2021年第1期1334-1358,共25页David Y.Aharon Zaghum Umar Xuan Vinh Vo; This study examines the connectedness between the US yield curve components(i.e.,level,slope,and curvature),exchange rates,and the historical volatility of the exchange rates of the main safe-haven fiat currencies(Can...; 关键词：Bitcoin Term structure slope CURVATURE Diebold and Yilmaz Connectedness Cryptocurrency FOREX CURRENCIES Safe haven

Forex Data Proves Economic Resilience: 《Beijing Review》2021年第5期27-27,共1页Lan Xinzhen; China's foreign exchange market managed to run smoothly in 2020, despite the disruptions caused by the novel coronavirus disease(COVID-19) pandemic and international complexities, maintaining an equilibrium of the bal...; 关键词：smoothly EQUILIBRIUM MARKET

Time Series Forecasting: Analysis of LSTM Neural Networks to Predict Exchange Rates of Currencies被引量：10: 《Instrumentation》2020年第4期25-39,共15页Samith WIJESINGHE; The global financial and economic market is now made up of several structures that are powerful and complex.In the last few decades,a few techniques and theories have been implemented that have revolutionized the unde...; 关键词：Forex Prediction System Long Short-term Memory(LSTM)Forex Forecasting Deep Learning

Balancing Capital Account Convertibility and Forex Market Stability: 《Beijing Review》2018年第50期42-42,共1页; China is continuing to push forward its foreign exchange (forex) reform at a steady pace, giving global investors wider access to one of the world’s largest capital markets.The latest data showed that some 286 overse...; 关键词：Balancing Capital Account Convertibility and Forex Market Stability

Improved expert selection model for forex trading被引量：1: 《Frontiers of Computer Science》2018年第3期518-527,共10页Jia ZHU Xingcheng WU Jing XIAO Changqin HUANG Yong TANG Ke Deng; This work was supported by the Natural Science Foundation of Guangdong Province, China （2015A030310509）, the National Natural Science Foundation of China （Grant Nos. 61370229, 61272067, 61303049）, the S＆T Planning Key Projects of Guangdong Province （2014B010117007, 2015B010109003, 2015A030401087, 2016A030303055, 2016B030305004, and 2016B010109008） and the S＆T Projects of Guangzhou Municipality, China （201604010003）.; Online prediction is a process that repeatedly predicts the next element in the coming period from a sequence of given previous elements. This process has a broad range of applications in various areas, such as medica...; 关键词：online learning expert selection forex prediction

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