从计量经济学和经济物理学的角度估计德国Dax的波动性

Jose Paul Pulickal
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引用次数: 0

摘要

投资者最近非常关心与证券投资有关的风险方面。因此,波动率计算已成为金融市场的一个重要方面。由于这些原因,时间序列模型被广泛用于预测波动率。其中一个模型是计量经济学模型的不同变体。与此同时,经济物理学方法的使用也对同样的问题有所帮助。了解一个更好的预测模型是投资者所期待的,因为它有助于降低与投资相关的风险。所以对这些模型进行比较是很重要的,这将使我们对相同的问题有更深入的了解。为此,考虑德国DAX指数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating Volatility of German Dax From Econometric and Econophysics Perspectives
Investors recently are really concerned about the risk aspects associated with the investment in securities. Volatility calculation, therefore, has become an important aspect in the financial markets. For these reasons time series models are greatly used to forecast volatility. One such model is the different variants of the Econometric model. Along with it the use of Econophysics methods is also helpful for the same. Understanding a better model of the forecast is what investors are looking forward to as it helps reduce the risk associated with investing. So a comparison of the models will be of important which will give us an insight on the same. For this purpose, the German DAX is considered.
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