Risk Management Papers of the Week

This article examines the role of financial analysis in evaluating business performance and supporting managerial decisions.

In this study, field investigations, laboratory experiments, mapping, and analysis were conducted to assess landslides,  causes, influencing factors, and their impact on geological heritage in former Quang Binh province, Vietnam.

Each step is made concrete and auditable by generating the figures and tables through code that runs on a transparent dataset calibrated to the documented stylized facts of the CSI 300; the same code accepts real index and sentiment series as drop-in replacements. The paper’s contribution is therefore the methodology and its tooling: the modelling pipeline, the recipe for constructing the sentiment index, and a complete, scripted experimental design that an applied researcher can run on live data to obtain empirical estimates.

Using multi‐model data from the Coupled Model Intercomparison Project Phase VI (CMIP6) and an improved three‐dimensional clustering algorithm, this study identified meteorological and Agricultural drought (AD) events in Asia.

Generative artificial intelligence (AI) is rapidly transforming the landscape of political communication, profoundly affecting both the creation of media content and the governance and evolution of public discourse. This article examines the portrayal of generative AI in Chinese state media and social media, illustrating how these portrayals reflect the broader evolution of digitally mediated political communication.

This study develops a policy review framework of 20 indicators in four components, based on a narrative review of 63 studies, and applies it to Bangladesh.

Moreover, while traditional incentive mechanisms promote truthful participation and discourage free-riding and malicious behavior, they mainly reward model utility and neglect privacy contribution. To mitigate this limitation, we propose BCFL-DAI-PUB, a blockchain-federated learning framework integrating an innovative Dynamic Adaptive Incentive (DAI) mechanism to achieve a Privacy–Utility Balance (PUB).

This paper analyzes the considerable impact of artificial intelligence (AI) and digitalization on energy markets and trading systems, as well as the expanding electric vehicle (EV) industry and its challenges.

This study aims to explore how data-centric approaches can strengthen forecasting, control cash flow volatility and improve resilience across infrastructure, energy and public-sector projects.

This study aims to examine how big data and artificial intelligence can be orchestrated as integrated strategic capabilities to support adaptive digital business strategy.

It identifies a three-stage evolution from compliance-oriented control toward technology-embedded and intelligent governance, showing how digital technologies are reorienting internal-control research toward new objectives, mechanisms, audit evidence and accountability systems.

Following the Fundamental Review of the Trading Book (FRTB), we use a one-year estimation window and ES at the $2.5\%$ confidence level as a benchmark setup.

ABSTRACT Background Targeted lung cancer screening programmes in the United Kingdom use multivariable risk models to identify high‐risk individuals.

Subsequently, the AcciMap theory is introduced to form a multi-level risk assessment system.

Using a selected high-temperature day (13 June 2025) in Zhengzhou, this paper builds a Dynamic Thermal Environment Index (DTEI) fusing a static Landsat-derived thermal baseline with intraday variation from Himawari-9.

The emergence of disease-directed pharmacotherapy makes accurate, scalable risk stratification more consequential. This critical narrative review examines which adults warrant noninvasive fibrosis assessment, how sequential testing should guide referral and treatment selection, and what new therapies can reasonably be expected to achieve.