Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
Series Vol. 49 , 01 December 2023
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Behavioral Finance Analysis of the Spillover Effect of Major Health Emergencies on Shipping and China's Investment Market
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Abstract
Cross-market risk conduction is an important risk source in the global investment market. In recent years, the global market risk linkage cause-d by major public health emergencies has attracted much attention. This paper selects the COVID-19 epidemic as an example, and uses the shipping market as a representative indicator of the global economy to try to analyze the complete path of the epidemic impact from the global economy to the Chinese stock market. From the perspective of behavioral finance, it analyzes the role of investor sentiment in this risk linkage. The empirical results show that the transmission of epidemic risk between Chinese stock markets deviates from the global economic fluctuations but has regularity, and the momentum effect brought by investors ' overconfidence and overreaction makes the stock market reaction short-term and volatility amplification. Risk aversion and limited attention make the market volatility caused by the deterioration of the epidemic greater than the mitigation. This paper creatively conducts a full-path study on the transmission of epidemic risk between macro-economic and stock markets, and uses behavioral finance theory to quantitatively verify the impact of investor sentiment, which provides a theoretical basis for cross-market risk transmission research.
Keywords
risk spillover, behavior finance, cross-market investment, VAR model
References
1. Samit G, Sumit S, Milan M, Binayak S.(2020) Linear Regression Analysis to predict the number of deaths in India due to SARS-CoV-2 at 6 weeks from day 0 (100 cases - March 14th 2020). Diabetes & Metabolic Syndrome: Clinical Research & Reviews,14(4).
2. Sourabh S, Kuljeet S, Sachin K, Paramjit K, Vibhakar M.(2020) Time series forecasting of Covid-19 using deep learning models: India-USA comparative case study. Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena,140.
3. Seyedali M, Seyed M M, Andrew L.(2014) Grey Wolf Optimizer. Advances in Engineering Software,69.
4. Zhang Lin.(2020) Fitting and forecasting of the general growth model for the spread of the COVID-19 . Journal of University of Electronic Science and Technology of China,49 (03): 345-348
5. Mihai N, Maria M P.(2020) Time-varying dependence in European equity markets: A contagion and investor sentiment driven analysis. Economic Modelling,86(C).
6. Yang Zihui, Chen Yutian, Zhang Pingmiao. (2020)Macroeconomic shocks, financial risk transmission, and governance responses under major public emergencies . Management World, 36 (05): 13-35
7. Dash S R, Maitra D.(2019) The relationship between emerging and developed market sentiment:A wavelet-based time-frequency analysis. Journal of Behavioral and Experimental Finance, 22: 135-150.
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
- ISBN (Print)
- 978-1-83558-145-2
- ISBN (Online)
- 978-1-83558-146-9
- Published Date
- 01 December 2023
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/49/20230506
- Copyright
- 01 December 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited