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Global Uncertainty

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lightbulbAbout this topic
Global uncertainty refers to the unpredictable and often volatile conditions affecting international relations, economies, and societies, driven by factors such as geopolitical tensions, economic fluctuations, environmental changes, and technological advancements. It encompasses the challenges and risks that arise from a lack of clarity about future events and their potential impacts on a global scale.
lightbulbAbout this topic
Global uncertainty refers to the unpredictable and often volatile conditions affecting international relations, economies, and societies, driven by factors such as geopolitical tensions, economic fluctuations, environmental changes, and technological advancements. It encompasses the challenges and risks that arise from a lack of clarity about future events and their potential impacts on a global scale.

Key research themes

1. How do different types and sources of uncertainty affect decision-making and management in global sustainability and environmental systems?

This theme focuses on understanding the multifaceted nature of uncertainty inherent in environmental and sustainability challenges and their implications for decision-making and management. It highlights the complexity of 'wicked problems' in sustainability, where uncertainties arise from limited knowledge, nonlinear processes, conflicting stakeholder perspectives, and unpredictable future events. Research investigates classification of uncertainty types (from clear futures to true surprises), methodological approaches to uncertainty quantification, and the influence of uncertainty on policy design and adaptive strategies in managing Earth systems.

Key finding: Identifies four categories of uncertainty in sustainability science ranging from knowable futures to true surprises, emphasizing how uncertainty complicates assessing Earth’s condition, forecasting, and management strategies.... Read more
Key finding: Explores three principal sources of uncertainty in Earth sciences: limited spatial and temporal observations, nonlinear system dynamics, and modeling limitations. Illustrates, through meteorological forecasting case studies,... Read more
Key finding: Surveys advancements in applying Bayesian statistical frameworks to quantify uncertainties in climate model projections, emphasizing challenges due to model complexity, computational cost, and nonlinear process interactions.... Read more
Key finding: Presents a multi-actor strategic framework for managing uncertainties in radioactive waste management programs, recognizing irreducible and reducible uncertainties at varying program stages. Highlights divergent perspectives... Read more

2. How can uncertainty be conceptualized, measured, and integrated in economic and financial decision-making under global and domestic shocks?

This theme investigates the conceptual underpinnings and empirical quantification of uncertainty in economics and finance, particularly focusing on its effects on investment, firm behavior, and market outcomes. It includes differentiating types of uncertainty (subjective vs. objective), methodological challenges in measurement (e.g., using survey-based indicators, mutual information), and the heterogeneous impacts of uncertainty shocks across contexts, including distinctions between advanced and emerging economies. The theme also addresses how global uncertainties interplay with domestic risks, influencing financial sector profitability and macroeconomic variables.

Key finding: Synthesizes recent macroeconomic research revealing that uncertainty is countercyclical, co-moves with real activity, and can be both exogenous and endogenous to business cycles. Highlights financial frictions as key... Read more
Key finding: Finds that domestic political stability positively and global economic policy uncertainty negatively affect Ukrainian banks’ profitability. Also identifies significant impacts from traditional determinants such as bank size,... Read more
Key finding: Shows that survey-based measures of macroeconomic uncertainty significantly explain variations in stock returns and return volatility across 49 US industries. Finds that increases in macroeconomic uncertainty generally lead... Read more
Key finding: Develops a mutual information-based framework to quantify dependence among climate models, accounting for nonlinear relationships and inter-model dependencies. By assigning independence weights, the weighted variance approach... Read more

3. How is uncertainty conceptualized and modeled in spatial, geographic, and systemic contexts, and what implications does this have for data interpretation and decision-making?

This theme explores the foundations and conceptualizations of uncertainty within geographic information systems (GIS), spatial data, and complex systems. Research addresses challenges in defining geographic objects, classification ambiguity, fuzzy and probabilistic representations, and the communication of uncertainty. The theme also highlights the interplay of uncertainty with ontologies, semantic heterogeneity, and measurement theory, advancing methodological rigor for spatial data analysis and education in uncertainty management.

Key finding: Elucidates multiple sources of uncertainty in geographic research including ambiguous object definitions, conflicting classification schemes, and complexities in spatial-temporal systems. Advocates for the use of fuzzy logic,... Read more
Key finding: Analyzes diverse forms of uncertainty in geographic information systems arising from definitional ambiguity, measurement error, data processing, and classification schemes. Emphasizes the necessity of conveying uncertainty... Read more
Key finding: Proposes alternative average probability and average number of events metrics to complement traditional entropy-based uncertainty measures for complex systems. These metrics facilitate more interpretable quantification of... Read more
Key finding: Highlights the critical role of measurement uncertainty in educational research, connecting probability theory and statistical inference to practical measurement challenges. It underscores the inevitability of uncertainty in... Read more
Key finding: Traces the historical and theoretical development of uncertainty concepts from probability origins in gambling to subjective and objective uncertainty in economics. Demonstrates the foundational role of probability in linking... Read more

All papers in Global Uncertainty

This study investigates the interdependence between global uncertainty indices and ASEAN-5 equity markets. Utilizing the CBOE Volatility Index (VIX) and the CBOE Oil Volatility Index (OVX) as proxies for global financial market and oil... more
Commercial banks are considered to be important contributors to the country's financial system and economic development. The aim of this study was to examine the impact of various factors on commercial banks' profitability. Moreover, the... more
In this study, we assess the main determinants of banks' profitability in Portugal over the period 2015–2018. We divide the factors that can influence bank profitability into several groups: management quality, credit quality, capital... more
Bank regulation as well as a country's macroeconomic regulations have been hindering bank profitability by ensuring higher bank capital and minimum holding of risks for achieving bank stability. The objective of this study is to determine... more
The purpose of this study is to examine and compare the financial performance of the three banking modes in Egypt: Islamic, conventional and mixed banks during the period 2003-2010. 13 banks are included in the study (i.e. 2 Islamic... more
The aim of this study was to determine the main determinants of profitability of commercial banks in Zambia. The study is important because it establishes, based on empirical evidence, the extent to which the generally identified factors... more