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Forecasting the Performance of the Asian Currency Unit and the Causes of Contagion of the Asian Financial Crisis

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並列摘要


This study analyses the prediction performance of the Asian Currency Unit (ACU) by employing variant methods including the Back-Propagation Neural Networks (BPN), Recurrent Neural Network (RNN), Time-Delay Recurrent Neural Network (TDRNN), General Autoregressive Conditional Heteroscedasticity (GARCH), and random walk models. The results show that Artificial Neural Network models outperform GARCH and random walk models. The BPN model presents prominent forecasting performance in most division conditions. The study further verifies the causes of contagion of the Asian financial crisis using the Adaptive Network-Based Fuzzy Inference System (ANFIS). The empirical results indicate that the contagion effect would most likely be influenced by tight financial linkage and conditions of macroeconomic similarity as well.

參考文獻


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被引用紀錄


Yen, C. Y. (2012). 混沌理論與類神經網路應用於亞洲單一貨幣-以市場情緒指標為例 [master's thesis, Chung Yuan Christian University]. Airiti Library. https://doi.org/10.6840/cycu201200383
呂湘君(2010)。亞洲單一貨幣化與風險值(VaR)之相關研究〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201000232
Hsu, S. F. (2009). 中華單一貨幣與金融危機之關連分析 [master's thesis, Chung Yuan Christian University]. Airiti Library. https://doi.org/10.6840/cycu200901065
Kuo, I. S. (2009). 亞洲單一貨幣之匯率變動性與壓力性的實證 [master's thesis, Chung Yuan Christian University]. Airiti Library. https://doi.org/10.6840/cycu200900788
Li, H. J. (2007). 亞洲單一貨幣與雙元危機之關聯性分析 [master's thesis, Chung Yuan Christian University]. Airiti Library. https://doi.org/10.6840/cycu200700228

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