KMS Of Academy of mathematics and systems sciences, CAS
Modelling and forecasting the money demand in China: Cointegration and non-linear analysis | |
Deng, SH; Liu, B | |
1999 | |
发表期刊 | ANNALS OF OPERATIONS RESEARCH
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ISSN | 0254-5330 |
卷号 | 87页码:177-189 |
摘要 | This paper deals with the demand for money, including narrow money (M-1) and broad money (M-2) in China. We use the cointegration and error-correction model to formulate the function of money demand and merge the short-run and long-run equations to give forecasts over different horizons. In particular, we combine very simple artificial neural networks (ANNs) with the cointegration and error-correction model to give a nonlinear model. These models are quarterly models, sampled from the first quarter of 1980 to the fourth quater of 1994, and the multi-step forecasts are from the first quarter of 1990 to the fourth quarter of 1994. Both the fitted values and predictive values for M-1 and M-2 are satisfactory. Finally, we give forecasts for M-2 from the first quarter of 1995 to the second quarter of 1996. |
关键词 | demand for money cointegration and error-correction artificial neural networks |
语种 | 英语 |
WOS研究方向 | Operations Research & Management Science |
WOS类目 | Operations Research & Management Science |
WOS记录号 | WOS:000080349200013 |
出版者 | BALTZER SCI PUBL BV |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.amss.ac.cn/handle/2S8OKBNM/14313 |
专题 | 中国科学院数学与系统科学研究院 |
通讯作者 | Deng, SH |
作者单位 | 1.Acad Sinica, Inst Syst Sci, Beijing 100080, Peoples R China 2.Peoples Bank China, Beijing 100800, Peoples R China |
推荐引用方式 GB/T 7714 | Deng, SH,Liu, B. Modelling and forecasting the money demand in China: Cointegration and non-linear analysis[J]. ANNALS OF OPERATIONS RESEARCH,1999,87:177-189. |
APA | Deng, SH,&Liu, B.(1999).Modelling and forecasting the money demand in China: Cointegration and non-linear analysis.ANNALS OF OPERATIONS RESEARCH,87,177-189. |
MLA | Deng, SH,et al."Modelling and forecasting the money demand in China: Cointegration and non-linear analysis".ANNALS OF OPERATIONS RESEARCH 87(1999):177-189. |
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