Results 41 to 50 of about 1,052 (223)
ABSTRACT This study examines the intricate and asymmetric relationship between corporate greenhouse gas emission disclosure and stock returns and crash risks, focusing on listed firms in six Commonwealth African countries characterized by regulatory fragility, limited investor protection, and growing climate vulnerability.
Idorenyin J. Okon +2 more
wiley +1 more source
CEO Overconfidence, Industry Competition, and ESG Performance
ABSTRACT This study examines the interplay among CEO overconfidence, industry competition, and firms' ESG (Environmental, Social, and Governance) performance. With the growing importance of ESG management, firms are investing more in ESG initiatives as a strategic approach to mitigating downside risk. However, overconfident CEOs, characterized by their
Taehyung Kim, Jaeseog Na
wiley +1 more source
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga +6 more
wiley +1 more source
Regime‐Dependent Nowcasting of the Austrian Economy
ABSTRACT We nowcast and forecast economic activity in Austria, namely, real gross domestic product (GDP), consumption, and investment, which are available at a quarterly frequency, using a preselected number of monthly indicators based on a combination of statistical procedures.
Jaroslava Hlouskova, Ines Fortin
wiley +1 more source
Abstract When deploying mobile robots in real‐world scenarios, such as airports, train stations, hospitals, and schools, collisions with pedestrians are intolerable and catastrophic. Motion safety becomes one of the most fundamental requirements for mobile robots.
Zhiqian Zhou +7 more
wiley +1 more source
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jiang, Wuyuan, Yang, Zhaojun
openaire +2 more sources
Using DSGE and Machine Learning to Forecast Public Debt for France
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos +4 more
wiley +1 more source
Quadratic Hedging of American Options Under GARCH Models
ABSTRACT American options are widely traded in financial markets, yet there is a scarcity of literature on hedging in incomplete markets. In this paper, we derive optimal hedging ratios and option values using Local Risk Minimization (LRM) and Global Risk Minimization (GRM) hedging strategies through dynamic programming.
Junmei Ma, Chen Wang, Wei Xu
wiley +1 more source
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lu, Zhaoyang +3 more
openaire +2 more sources
Sustainable Work and Employment in Social Care: New Challenges, New Priorities
ABSTRACT Human Resource Management (HRM) research focused on social care is sparse. This gap is surprising given the scale of the social care workforce in many countries, its vital role in meeting the increasingly complex needs of vulnerable community groups, and the persistent challenges in recruiting and retaining staff.
Ian Kessler +4 more
wiley +1 more source

