首页> 外文会议>2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)论文集 >A New Exploring: Definition and Measurement of Financial Risk--Based on Wavelet Analysis
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A New Exploring: Definition and Measurement of Financial Risk--Based on Wavelet Analysis

机译:一个新的探索:金融风险的定义和度量-基于小波分析

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There are two important concept in traditional field of financial risk defining and measuring. That is the degree of loss or volatility of return and the occurred probability of them. However we ignore one fact. Usually we think that two assets have same risk if their variance of return were same. On the other hand, does this mean that an asset has more risk whose frequency of return volatility is higher? We should research this problem practically. Traditional measuring method of financial risk focus on the timely changing characteristics of variance or the calculating of volatility amplitude. This method can’t estimate the frequency of volatility. This paper tries to analyze the timely changing characteristics of frequency using wavelet analysis and give a new concept of financial risk.
机译:传统的金融风险定义和衡量领域有两个重要概念。那就是收益损失或波动的程度以及它们发生的可能性。但是,我们忽略了一个事实。通常我们认为,如果两种资产的收益方差相同,则它们具有相同的风险。另一方面,这是否意味着资产的风险更大,其收益波动率更高?我们应该实际研究这个问题。传统的金融风险计量方法侧重于方差的及时变化特征或波动幅度的计算。这种方法无法估计波动的频率。本文试图利用小波分析来分析频率的时变特征,并给出新的金融风险概念。

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