Anhui University of Finance and Economics

Volatility Forecasting: A Fused Filter Algorithm

ABSTRACT This paper proposes a fused filter algorithm (FFA) for volatility forecasting. The FFA extracts latent volatility by solving a penalized optimization problem, a formulation related to the HP filter and Whittaker–Henderson smoothing. To investigate the empirical performan...

Mixed uncertainty information and volatility in the green bond market based on a new two-regime GARCH-MIDAS extension model

Purpose This study pioneers a novel two-regime Generalized Autoregressive Conditional Heteroskedasticity–Mixed Data Sampling (GARCH-MIDAS) extension model to disentangle the dual dynamics of traditional drivers and mixed uncertainty indicators in green bond market volatility. Unl...

The role of information cocoons in shaping consumer loyalty in e-commerce: a grounded theory study

With the widespread use of personalized recommendations, information cocoons, which expose users to homogeneous, preference-aligned content, are increasingly relevant to consumer behavior. However, their structure and loyalty-related implications remain underexplored. Drawing on...

Corporate environmental credit rating and social stability: Evidence from capital-labor conflicts in China's polluting industries

Mitigating capital-labor conflicts is essential for maintaining social stability. Using China's Enterprise Environmental Credit Evaluation System (EECES) as a quasi-natural experiment, this study examines the impact of corporate environmental credit rating on capital-labor confli...

Measurement-Dependent Asymmetry in Chinese Urban Carbon-Emission Inventories: Reference States, Scale Sensitivity, and Cross-Inventory Concordance

Urban carbon-emission inventories can yield different conclusions depending on accounting construction and analytical scale, yet these two sources of variation are rarely evaluated within a common framework. We define asymmetry as a measurement-dependent departure from an explici...

When Less Confidence Reaps More AI Benefits: A Compensatory Pattern Through Future Work Self-Salience

Introduction: In the context of AI becoming deeply embedded in professional environments, understanding how EAC drives employee innovative behavior (EIB) has become a critical issue in organizational psychology. Drawing on social cognitive theory (SCT) and complementarity theory,...

How digital leadership fosters employee proactive behavior: A dual-pathway model based on job demands and resources

BackgroundDigital leadership is increasingly recognized as critical to organizational digital transformation. How digital leadership fosters employee proactive behavior through job characteristics remains insufficiently understood.ObjectiveDrawing on Job Demands-Resources theory,...

How instructional design shapes higher-order thinking among higher education students in generative artificial intelligence-supported teaching contexts

Against the backdrop of the widespread integration of generative artificial intelligence (GAI) into higher education, previous research has yielded divergent findings regarding its relationship with students’ higher-order thinking (HOT). Moving beyond outcome-oriented discussions...

Privacy preserving and auditable tax fraud detection using zero knowledge transformer inference

This paper presents the Auditable Zero-knowledge Transformer (AZT) framework for privacy-preserving and auditable tax fraud detection. AZT combines transformer-based anomaly detection with zero-knowledge proof (ZKP) verification so that a tax authority or regulator can verify fra...