Laurini Márcio P, Chaim Pedro
Department of Economics, FEARP, University of São Paulo, Av. dos Bandeirantes 3900, Ribeirao Preto, 14040-950 Brazil.
Department of Economics, Federal University of Santa Catarina, Florianópolis, Brazil.
SN Bus Econ. 2021;1(1):8. doi: 10.1007/s43546-020-00005-w. Epub 2020 Nov 2.
Brazilian stock markets underwent a period of remarkable exuberance between early 2016 and March 2020, only to crash with the global turmoil related to health worries and oil prices. The Ibovespa index tripled its market value between a low point in January 2016 and its maximum in January 2020-by March 12, half those gains had been erased. Narratives about a bubble in Brazilian stocks before the global crash and its subsequent burst are plentiful in specialized media. In this paper, we explore this narrative from within the framework of strict local martingale financial bubbles. A key result in this literature states some financial asset price displays a bubble only if it follows a strict local martingale under the equivalent risk-neutral measure. A diffusion process is a strict local martingale if its volatility increases faster than linearly as its level grows. We first apply a nonparametric method to estimate the volatility function of Ibovespa daily prices, then fit a stochastic volatility model whose parameter values can discriminate the underlying price process as either a true martingale or a strict local martingale. Our results are negative towards the presence of a strict local martingale bubble in the Ibovespa index. Strict local martingale bubbles are related to a positive relationship between returns and volatility which does not seem present in the data at hand. We also performed a comparative analysis of the patterns found for the Ibovespa with the S&P500 index, spot Brent oil and gold prices.
2016年初至2020年3月期间,巴西股市经历了一段显著的繁荣期,随后却因与健康担忧和油价相关的全球动荡而暴跌。伊博维斯帕指数(Ibovespa)的市值在2016年1月的低点至2020年1月的高点之间增长了两倍,而到3月12日,这些涨幅已被抹去一半。在专业媒体上,关于全球股市暴跌前巴西股市泡沫及其随后破裂的说法比比皆是。在本文中,我们在严格局部鞅金融泡沫的框架内探讨这一说法。该文献中的一个关键结果表明,只有当某种金融资产价格在等价风险中性测度下遵循严格局部鞅时,才显示出泡沫。如果一个扩散过程的波动率随着其水平的增长而比线性增长更快,那么它就是一个严格局部鞅。我们首先应用非参数方法来估计伊博维斯帕指数日价格的波动率函数,然后拟合一个随机波动率模型,其参数值可以区分基础价格过程是真正的鞅还是严格局部鞅。我们的结果对于伊博维斯帕指数中存在严格局部鞅泡沫持否定态度。严格局部鞅泡沫与收益和波动率之间的正相关关系有关,而在手头的数据中似乎不存在这种关系。我们还对伊博维斯帕指数与标准普尔500指数、布伦特原油现货价格和黄金价格所发现的模式进行了比较分析。