英文标题：
《Asymmetric Network Connectedness of Fears》
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作者：
Jozef Barunik and Mattia Bevilacqua and Radu Tunaru
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最新提交年份：
2020
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英文摘要：
  This paper introduces forward-looking measures of the network connectedness of fears in the financial system, arising due to the good and bad beliefs of market participants about uncertainty that spreads unequally across a network of banks. We argue that this asymmetric network structure extracted from call and put traded option prices of the main U.S. banks contains valuable information for predicting macroeconomic conditions and economic uncertainty, and it can serve as a tool for forward-looking systemic risk monitoring.
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中文摘要：
本文介绍了金融系统中恐惧的网络连通性的前瞻性测量方法，这些恐惧源于市场参与者对不确定性的好的和坏的信念，这种不确定性在银行网络中不平等地传播。我们认为，从美国主要银行的看涨期权和看跌期权交易价格中提取的这种不对称网络结构包含了预测宏观经济状况和经济不确定性的宝贵信息，可以作为前瞻性系统风险监控的工具。
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分类信息：

一级分类：Quantitative Finance        数量金融学
二级分类：General Finance        一般财务
分类描述：Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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