This study proposes a rational expectation equilibrium model of stock market crashes with information asymmetry and loss averse speculators. We obtain a state-dependent linear optimal trading strategy, which makes the equilibrium price tractable. The model predicts nonlinear market depth and the result that small shocks to fundamentals (e.g., supply or informational shocks) can cause abrupt price movements. We demonstrate that short-sale constraints intensify asset price collapses relative to upward movements. The model also generates contagion between uncorrelated assets. These results are consistent with the main puzzling features observed during market crashes, namely abrupt and asymmetric price movements that are not driven by major news events but coupled with a spillover effect between unrelated markets.
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http://dx.doi.org/10.1016/j.econmod.2020.06.015 | DOI Listing |
Traffic Inj Prev
January 2025
School of vehicle and mobility, Tsinghua University, Beijing, China.
Objective: Previous research has established the effectiveness of active pretensioning seatbelts (APS), also termed motorized pretensioning seatbelts, in mitigating forward leaning and out-of-position displacement during pre-crash scenarios. In the Chinese market, APS trigger times are typically set later than those reported in the literature. This study investigates the real-world performance of APS systems with delayed trigger times under emergency braking conditions.
View Article and Find Full Text PDFPLoS One
December 2024
School of Economics and Management, Quanzhou University of Information Engineering, Quanzhou, Fujian, China.
Informed trading, driven by information asymmetry and market imperfections, varies in presence across markets. This form of trading not only distorts market transaction prices and hinders resource allocation but also initiates adverse selection transactions, increasing liquidity risks and potentially precipitating market crashes, thereby impeding the market's healthy development. Utilizing information asymmetry theory and principal-agent theory, this paper analyzes data from A-share listed companies from 2011 to 2022.
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Economics and Management, Southeast University, Nanjing, Jiangsu 211189, China. Electronic address:
This study combines an asymmetric TVP-VAR model with interpretable machine learning algorithms to confirm the presence of asymmetries in spillover effects within China's green finance market and to identify the macroeconomic drivers behind these effects. The key findings are as follows: First, China's green finance market has become a prominent transmitter of energy risk spillovers, with a significant asymmetry in its external effects-negative return spillovers exceed positive ones. This asymmetry is especially evident during extreme events like the 2014 oil price crash and the COVID-19 pandemic, indicating that investors in this market are more responsive to negative news.
View Article and Find Full Text PDFHeliyon
October 2024
Department of Business Administration, IQRA University, Karachi, 75300, Pakistan.
The current digital innovation, health crisis, together with catastrophic economic and financial events have disturbed both digital and conventional asset markets that caused drastic change in investment avenues. Therefore, the purpose of this study is to investigate the connectedness between Non-Fungible Token (NFTs), Decentralized Finance (DeFi) assets, and housing market by applying Quantile connectedness of Ando et al. [27]with extreme tail of distribution technique.
View Article and Find Full Text PDFPLoS One
December 2024
Institute of Health, Health Policy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Background: Road traffic collisions (RTCs) are the primary cause of death, which usually occur during the most crucial years of life, resulting in significant damage to health, society, and the economy. A wide variety of strategies and policies have been implemented around the world to minimize injuries and fatalities resulting from RTCs. This study aimed to systematically evaluate the effectiveness of interventions to reduce road traffic injuries (RTIs) in low-, middle-, and high-income countries.
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