The advantage of quantum mechanics to shift up the ability to econometrically understand extreme tail losses in financial data has become more desirable, especially in cases of Value at Risk (VaR) and Expected Shortfall (ES) predictions. Behind the non-novel quantum mechanism, it does interestingly connect with the distributional signals of humans’ brainstorms. The highlighted purpose of this article is to devise a quantum-wave distribution methodically to analyze better risks and returns for stock markets in The Association of Southeast Asian Nations (ASEAN) countries, including Thailand (SET), Singapore (STI), Malaysia (FTSE), Philippines (PSEI), and Indonesia (PCI). Data samples were observed as quarterly trends between 1994 and 2019. Bayesian statistics and simulations were applied to present estimations’ outputs. Empirically, quantum distributions are remarkable for providing “real distributions”, which computationally conform to Bayesian inferences and crucially contribute to the higher level of extreme data analyses in financial economics.

中文翻译：

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运用量子力学预测东盟证券交易所的VaR和ES的极值

量子力学的优势在于提高了从计量经济学上理解财务数据中极端尾部损失的能力，尤其是在风险价值（VaR）和预期短缺（ES）预测的情况下。在非新颖的量子机制背后，它确实与人类头脑风暴的分布信号有关。本文的主要目的是有条不紊地设计一种量子波分布，以分析东南亚国家联盟（ASEAN）国家（包括泰国（SET），新加坡（STI），马来西亚（FTSE））的股票市场更好的风险和回报），菲律宾（PSEI）和印度尼西亚（PCI）。观察到的数据样本为1994年至2019年之间的季度趋势。贝叶斯统计和模拟应用于当前估计的输出。根据经验，