Research on Financial Asymmetric Log-GARCH Model with Zero Return
PEI Haotian1, CHE Xuemeng1, YANG Aijun1, LIN Jinguan2
1. College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China; 2. School of Statistics and Data Science, Nanjing Audit University, Nanjing 211815, China
PEI Haotian, CHE Xuemeng, YANG Aijun, LIN Jinguan. Research on Financial Asymmetric Log-GARCH Model with Zero Return[J]. Operations Research and Management Science, 2024, 33(3): 177-183.
[1]李艳丽.人民币汇率波动的预测—基于损失函数和DM检验的比较分析[C]//中国人民大学国际货币研究所.《国际货币评论》2016年合辑.北京:《国际货币评论》编辑部,2016:280-302. [2]张曼,赵学靖,田人合.基于中位数GARCH模型的汇率波动率预测[J].统计与决策,2017,11:73-75. [3]孙少岩,孙文轩.加入SDR后人民币汇率波动规律研究—基于ARIMA-GARCH模型的实证分析[J].经济问题,2019,2:42-47. [4]ATABANI A. Modeling exchange rate return volatility of RMB/USD using GARCH family models[J]. Journal of Chinese Economic and Business Studies, 2019, 17(2): 169-187. [5]SUCARRAT G, GRØNNEBERG S, ESCRIBANO A. Estimation and inference in univariate and multivariate log-GARCH-X models when the conditional density is unknown[J]. Computational Statistics and Data Analysis, 2016, 100: 582-594. [6]SUCARRAT G, ESCRIBANO A. Automated model selection in finance: General-to-Specific modelling of the mean and volatility specifications[J]. Oxford Bulletin of Economics and Statistics, 2012, 74(5): 716-735. [7]FRANCQ C, WINTENBERGER O, ZAKOIAN J M. Garch models without positivity constraints: Exponential or log-GARCH?[J]. Journal of Econometrics, 2013, 177: 34-46.