这便是金融建模最致命的要害所在。
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.
他认为，某种程度上可以通过加强定性而非定量研究来解决这个问题：商业学校在教授风险建模之前首先应给学生上金融史。
Part of the answer, he suggests, is to emphasize the qualitative over the quantitative: business schools should teach financial history before risk-modeling.
摩根指出的：金融机构核心技能之一就是对金融市场行为的准确建模。
Morgon pointed out: One of the key ability of financial organization is a model building for financial market behavior.
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.
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.
近年来GARCH模型被广泛地用于对变动频率很高的金融时间序列建模，它能较好地抓住此类时间序列的动态特征。
At present, GARCH type models have been employed to model these high frequency financial time series due to their ability to capture the dynamic characteristics.
所得结论有益于对价格波动性建模、资产定价、金融风险管理等领域的深入研究。
The conclusions in the paper will benefit the deep research on volatility modeling, asset pricing and financial risk management and so on in future.
数值实验表明，SVR方法对非平稳的金融时间序列具有良好的建模和泛化能力。
Numerical test results show that SVR has good ability of modeling nonstationary financial time series and good generalization under small data set available.
因而，对于波动性的定量建模成为对金融资产波动性研究的核心内容之一，并且这也同时成为学术界所关心的问题。
Thus, quantitative modeling of volatility is the volatility of financial assets of the core content of study, and it has also become a problem of concern to the academic community.
金融资产波动率测量与建模是金融理论与实践中的一个重要课题，已经有了许多测量与建模方法。
Measurement and modeling of financial asset volatility is an important problem in financial theory and practice. Many ways exist to measure and model financial asset volatility.
高频金融数据的分析与建模是金融计量学的一个全新的研究领域。
High-frequency financial data analysis and modeling is a new research field in financial econometrics.
首先，介绍了计算金融学和混沌理论，并分析了传统建模方法和混沌控制方法的缺陷。
Firstly, we introduce computational finance and chaos theories, and analyze limitations of traditional modeling and controlling methods.
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.
金融数学是利用数学建模、理论分析、数值计算等定量分析方法研究金融问题的一门新兴前沿学科。
Financial Mathematics is a newly forward subject that researches on financial problems by utilizing mathematical modeling, theoretical analysis and computation of numerical value.
而应用极值理论计算风险时注重对分布尾部的近似表达，并不是对整个分布进行建模，能更有效地捕捉可能导致金融机构重大损失的尾部风险。
Extreme value theory models the tail of the return distribution rather than the whole distribution. It can capture the tail risk which often causes large losses in financial institutions.
基于ACE的金融市场建模方法是全新的研究金融市场的重要方法之一。
Modeling methodology in financial market based on ACE is one of the most important methods in all of the new research method.
基于ACE的金融市场建模方法是全新的研究金融市场的重要方法之一。
Modeling methodology in financial market based on ACE is one of the most important methods in all of the new research method.
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