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首页> 外文期刊>International Journal of Trade and Global Markets >Forecasting methods for safeguarding ASEAN-5 stock exchanges during extreme volatility
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Forecasting methods for safeguarding ASEAN-5 stock exchanges during extreme volatility

机译:在极端动荡期间维护ASEAN-5股票交易所的预测方法

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摘要

The main reason for using Bayesian approach and Pickands's dependent function for prediction and estimation in this research is the beginning of the multiplex econometric methods. The multiplex econometric examination resulted that predictive value of the minimum index points on real-time for five stock markets consisting of SGX, KLSE, SET, 1DX, and PSE. Comparison of the previous examples should illustrate the wide range of gain or loss values related resulting from changing factors on the economic stimulus policy before the potential occurrence of financial crisis after 2015. As indicated previously, the majority results are only as good as the input data from the selected period, 1987-2015. The results of this research may use to be a signal to present the financial disorder in five ASEAN Exchange markets involving an economic weakening. Moreover, it would be used to guide the defining of any policy for protection of financial disorders.
机译:本研究中使用贝叶斯方法和Pickands依赖函数进行预测和估计的主要原因是多重计量经济学方法的开始。多重计量经济学检查得出了由SGX,KLSE,SET,1DX和PSE组成的五个股票市场的最低指数的实时预测价值。通过与之前的示例进行比较,可以说明在2015年之后可能发生金融危机之前,经济刺激政策变化的因素所导致的各种损益值。如前所述,多数结果仅与输入数据一样好1987-2015年。这项研究的结果可能是一个信号,用以介绍五个涉及经济疲软的东盟交易所市场的金融动荡。此外,它将被用来指导定义任何保护财务失调的政策。

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