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The bubble and anti-bubble risk resistance analysis on the metal futures in China

机译:中国金属期货的泡沫和抗气泡风险分析

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This paper investigates the risk resistance ability of China's metal futures before and after the financial crises in 2008 and 2015. The log periodic power law singularity (LPPLS) model is utilized to measure the financial bubble and anti-bubble during these periods. In addition, the risk resistance ability is quantitatively measured by the two derived parameters in the model. They control the super-exponential growth of price and describe the log-periodic acceleration of volatility, respectively. Further, we select the Shanghai Zinc (SZ) futures and the Shanghai Aluminum (SA) futures in Shanghai Futures Exchange as the objectives to empirically study their risk resistance ability during the above mentioned periods. Then, some interesting findings are concluded as follows: (1) For the China's metal futures, the bubble risks last longer than the anti-bubble risks before and after the two financial crises. (2) The China's metal futures have risk resistance ability in anti-bubble, but the ability is relatively weaker in bubble before and after the two financial crises. (3) The LPPLS model can efficiently predict and measure the bubble and anti-bubble of the financial products. It also gives us an access to observe the risk resistance ability of financial products by the derived parameters. (C) 2018 Elsevier B.V. All rights reserved.
机译:本文调查了2008年和2015年金融危机前后中国金属期货的风险能力。目录定期电力法奇异性(LPPLS)模型用于测量这些时期的金融泡沫和抗泡。此外,通过模型中的两个导出参数定量测量风险阻力能力。它们控制价格的超级指数增长,并分别描述了波动性的日志周期性加速度。此外,我们在上海期货交易所上方选择上海锌(SZ)期货和上海铝业期货,作为主导地研究其在上述期间的风险能力。然后,一些有趣的调查结果如下:(1)为中国的金属期货,泡沫风险比两次金融危机前后的抗泡风险更长。 (2)中国的金属期货有抗泡的抵抗力,但在两次金融危机之前和之后的泡沫中的能力相对较弱。 (3)LPPLS模型可以有效地预测和测量金融产品的泡沫和抗泡。它还使我们能够通过派生参数观察金融产品的风险阻力能力。 (c)2018年elestvier b.v.保留所有权利。

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