而金融数据中的非线性问题和金融时间序列分析中的非线性经济计量模型又是这个领域中全新的研究课题。
But nonlinear problem in financial data and nonlinear economic metric model in financial time series is an all new research topic in this realm.
时间序列的波动持续性建模理论和方法是经济金融领域风险分析的一种强有力的工具。
The theory and method of modeling volatility persistence of time series is a powerful tool in analyzing the risk of economic and finance market.
金融时间序列模型的变点分析是一类重要的统计问题，它引起众多学者的关注。
The change-point analysis in financial time series has been regarded as one of the core areas of research in statistics.
由于该模型被认为是最集中反映了金融市场数据方差变化的特点而被广泛应用于金融数据时间序列分析中。
Because these models can reflect the feature of the financial market well, they have been widely applied in the time series analysis on financial data.
MATLAB是优秀的数学计算工具，本文阐述并举例说明如何利用MATLAB来对金融时间序列进行分析及建模。
MATLAB is an outstanding mathematical computing tool. In this paper, we expatiate how to analyze and model financial time sequences with MATLAB.
在金融系统研究中，经常分析多维时间序列之间的相关关系，如短期信息、长期均衡关系。
In the financial system research, analyze the correlation relations between the multi-dimensional time series frequently, like short-term information, long-term balanced relations.
利用数据挖掘技术分析外汇汇率时间序列，从时间序列中获得正确的、隐含的、潜在的信息对于金融领域研究具有重要的现实意义。
Data mining are used to analyze the foreign exchange rate time series and acquire the correct, implicated and hidden information, which has practical significance in the financial field.
金融时间序列的分析与建模是金融计量学的一个很重要的研究领域。
The analysis and modeling of the financial time series is a very important study realm in financial metrology.
相似性度量是金融时间序列挖掘中的一项关键技术，但现有的度量方法不适合分析小规模的金融多元时间序列。
Similarity measure is a key technology of time series mining, whose existing methods are not available for the analysis of small-scale multivariate time series.
笔者首先讨论了在金融时间序列的考察中从一元GARCH模型扩展到多元GARCH模型的必要性。分析了多元GARCH模型在金融建模中的重要作用。
First of all, the author discusses the extension from univariate GARCH to multivariate GARCH model and the important role of the MGARCH model in the modern financial research.
笔者首先讨论了在金融时间序列的考察中从一元GARCH模型扩展到多元GARCH模型的必要性。分析了多元GARCH模型在金融建模中的重要作用。
First of all, the author discusses the extension from univariate GARCH to multivariate GARCH model and the important role of the MGARCH model in the modern financial research.
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