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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Historical Perspectives In Volatility Forecasting Methods With Machine Learning, Zhiang Qiu, Clemens Kownatzki, Fabien Scalzo, Eun Sang Cha
Historical Perspectives In Volatility Forecasting Methods With Machine Learning, Zhiang Qiu, Clemens Kownatzki, Fabien Scalzo, Eun Sang Cha
Seaver College Research And Scholarly Achievement Symposium
Volatility forecasting in the financial market plays a pivotal role across a spectrum of disciplines, such as risk management, option pricing, and market making. However, volatility forecasting is challenging because volatility can only be estimated, and different factors influence volatility, ranging from macroeconomic indicators to investor sentiments. While recent works suggest advances in machine learning and artificial intelligence for volatility forecasting, a comprehensive benchmark of current statistical and learning-based methods for such purposes is lacking. Thus, this paper aims to provide a comprehensive survey of the historical evolution of volatility forecasting with a comparative benchmark of key landmark models. We …
Impact Of Internal Corporate Social Responsibility Factors On The Employee’S Innovation Climate In The Medical Diagnostics Industry, Sofia M. Beglari
Impact Of Internal Corporate Social Responsibility Factors On The Employee’S Innovation Climate In The Medical Diagnostics Industry, Sofia M. Beglari
Theses and Dissertations
This study examined the relationship between employee-driven corporate social responsibility (CSR) factors and employee innovation in U.S. medical diagnostic companies during the respiratory syndrome coronavirus (COVID) pandemic. This study examined what employee-driven CSR factors affect such motivation of employees toward innovation. The research population was employees who have worked in operation, quality control, research, technical, and management departments of medical diagnostics companies in the United States of America. The investigator used a survey questionnaire for this correlation design study. Employees’ responses were analyzed based on education level, gender, and job function using descriptive analysis, t-test, and ANOVA-test. The theoretical framework …