Tail risk and investors’ concerns: Evidence from Brazil |
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Institution: | 1. School of Economics and Management, Shanxi University, Taiyuan, China;2. Department of Economics, Pusan National University, Busan, Republic of Korea;1. School of Business, Chengdu University of Technology, Chengdu 610059, China;2. School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China;1. Shenzhen Central Sub-branch, The People’s Bank of China, Shenzhen, China;2. School of Finance, Nanjing University of Finance and Economics, Nanjing, China;3. Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing, China;1. Graduate Program in Economics, Federal University of Santa Catarina, 88049-970 Florianopolis S.C., Brazil;2. Department of Economics, Federal University of Santa Catarina, 88049-970 Florianopolis S.C., Brazil;3. Department of Statistics, University of Brasilia, 70910-900 Brasilia, D.F., Brazil;4. Graduate Program in Business Administration, University of Brasilia, 70910-900 Brasilia D.F., Brazil;5. Graduate Program in Economics, Federal University of Espirito Santo, 29075-910 Vitoria E.S., Brazil |
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Abstract: | I estimate tail risk for Brazil from January 2001 to July 2020 and investigate the origins of tail risk variation. The tail risk measure peaks at stock market crashes, financial crises, political shocks and disaster events such as the coronavirus pandemic. Moreover, I find that tail risk is countercyclical, has strong predictive power for market returns and negatively predicts real economic activity. In order to identify the investors’ concerns associated with tail risk, I extract daily news from the largest financial newspaper in Brazil. The co-movement between news and tail risk indicates that tail risk variation is mainly driven by disaster concerns, followed by economic and government uncertainty. While economic uncertainty explains the countercyclical property of tail risk, investors only require compensation for bearing tail risk implied by disaster concerns. Similarly, tail risk negatively impacts real outcomes because of the disaster concerns that it identifies. These findings support recent models explaining asset pricing puzzles with time-varying disaster risk. |
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Keywords: | Tail risk Risk-neutral measure Return predictability Machine learning Text-based analysis |
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