A5020733419- Corporate Finance and Governance
- Market Dynamics and Volatility
- Financial Markets and Investment Strategies
- Stock Market Forecasting Methods
- Energy, Environment, Economic Growth
- Environmental Sustainability in Business
- Corporate Social Responsibility Reporting
- Global trade and economics
- Private Equity and Venture Capital
- Thermoregulation and physiological responses
- Sustainable Supply Chain Management
- Risk Management in Financial Firms
- Nuts composition and effects
- International Business and FDI
- Statistical Methods and Inference
- Global Maternal and Child Health
- Monetary Policy and Economic Impact
- Exercise and Physiological Responses
- Trace Elements in Health
- Globalization, Economics, and Policies
- Selenium in Biological Systems
- Banking Systems and Strategies
- Agriculture, Soil, Plant Science
- Forecasting Techniques and Applications
- Banking stability, regulation, efficiency
Ministry of Agriculture and Rural Affairs
2024-2025
Capital University of Economics and Business
2007-2024
BA School of Business and Finance
2011
This paper investigates the impact of stock liquidity on firm value in time COVID-19 pandemic. Using data from A-share listed companies China, we calculate Cumulative Abnormal Returns through event study method and by Amihud illiquidity. We find that significant negative relationships between exist first three days outbreak, while positive following days. also these are more severely impacted regions, small companies, non-state-owned enterprises.
Background/Objectives: Different beverages may vary in their effectiveness at quenching thirst. This study aims to explore the impact of pre-exercise consumption different types on thirst relief, providing scientific evidence guide selection most suitable beverage type. Methods: A randomized crossover design was used, recruiting 13 healthy male college students as participants. Each participant completed five exercise trials, with a 7-day interval between trials. In random order,...
This paper uses event study based on the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model to impact of COVID-19 outbreak China's financial market. It finds that pandemic had an overall significant and negative stock prices firms listed SSE, SZSE ChiNext. However, such appeared be heterogeneous across industries, affecting in industries as pharmaceutical telecommunications positively, but those services accommodation, catering, commercial negatively. Apparently, a...
Due to the increasing linkage of China and US stock markets today, we constructed a TVP-VAR model study dynamic spillover effects between volatility China’s market crash risk. We found are constantly strengthening risk: when increases, risk increases. In addition, gradual improvement financial openness in China, short-term capital outflow from depreciation RMB exchange rate will increase And, impacts more significant. Further, lead decline volatility, which may be due flight quality.
Saline soils, as a special class of soil types, have unique physicochemical properties that far-reaching effects on crop growth and quality characteristics. In order to better develop saline soils reserve resource, it is particularly important exploit the potential crops. Peanut, one crops in can different characteristics depending differences salinity alkalinity, well growing conditions. this study, we compared nutritional functional composition five peanut varieties grown coastal with same...
Mergers and acquisitions (M&As) innovation as essential business development strategies have attracted much interest in the capital market. A difference-in-differences model employing Chinese listed firms indicates that M&As significantly enhance corporate innovation. The potential mechanisms lie fact generate synergy finance, governance, information. Complementary evidence shows M&A effect on is heterogeneous across payment methods goodwill. We conclude synergies obtained from combining...
Machine learning methods have been used in multifactor stock strategy for years. This paper uses three machine and linear regression method to find the most appropriate approach. First, a framework is established 10 style factors 30 industry are chosen. Second, four forecast portfolio returns compared by predicting returns, successful rate, Sharpe ratio. Finally, this draws conclusion. The main findings as follows: support vector has stable rate predicting, while ridge unstable with more...
The fairness of the benefits basic medical insurance for migrants is drawing increasing attention. This paper examined beneficial equality floating population in China using “2014 National Internal Migrant Dynamic Monitoring Survey.” Heckman model was employed due to selection bias among inpatients, and random forest algorithm machine learning used analyze importance factors affecting hospitalization decision-making, consumption, reimbursement proportion population. results show significant...