Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 20 for “"early warning signals"”.
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Towards a New Model for Early Warning Signals for Systemic Financial Fragility and Near Crises: An Application to OECD Countries
… recent crisis highlighted the failure of former early warning signals models. This research attributes this partly to dependent variable specification, independent variable specification, model empirical design, and looking at models in isolation (different empirical methodologies and macro and …
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Non-linear dynamics and critical transitions in neonatal brain
… a seizure is a `critical transition'. Classical early warning signals, such as increased variance and autocorrelation, have proven to be robust measures for the detection and prediction of critical transitions in many different scenarios. In this study, we examine whether these classical early …
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Spatio-temporal dynamics before population collapse
… spatially extended yeast populations to evaluate early warning signals based on spatio-temporal fluctuations. We found that indicators based on fluctuations increased before collapse of connected populations; however, the magnitude of increase was smaller than that observed in isolated …
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Information, women's health and development : strategies for information provision in Africa
… how to protect themselves against AIDS, what the early warning signals of breast and cervical cancer are, and how best to look after their children and the community at large. The study further argues that these types of challenges can only be met with an efficient and effective health information …
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An analysis of organizational vision and mission statements with a focus on Eastman Chemical Company
… managed. The ability to pick up on and act on "early warning signals" that threaten the firm's core capabilities, its competitiveness, and stakeholder satisfaction are critical for success.
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Designing Machine Learning Models to Predict Financial Distress in NYSE and NASDAQ Companies
… can be theoretically grounded to improve the early identification of financial distress and manipulation risk among firms listed on the NYSE and NASDAQ. Drawing on Merton’s strain theory as an integrative framework, the research conceptualizes financial distress not merely as an accounting …
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Development and validation of a driver distraction alert system for highway driving using a truck driving simulator
… distraction alert system that can generate early warning signals and prevent vehicle accidents. The proposed system is applied to a truck driving simulator by monitoring the driver response through the steering wheel and accelerator pedal during different driving experiments. In order to …
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What Drives Gut Microbial Diversity and Community Structure Among Closely-Related Host Species?
… into conservation planning, which can serve as early warning signals for changes in host health.</p>
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Integrated Planning Budgeting Forecasting (IPBF)
… gap analysis, risk calibration through early warning signals, and cross-functional synergy identification. Flexibility provides dynamic resource allocation capabilities, scaling growth opportunities, and strategic agility in response to changing conditions. This study employs descriptive …
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An investigation into unifying early warning prediction models
… Zmijewski, 1984) have not been unified into an early warning signal (EWS) framework according to the specific financial distress conditions they have abilities to predict. Findings also found that risk (Beneish, 1999; Schilit, 2003) and earnings management measures (Sloan, 1996) play a …
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Bryophytes in the hydrological cycle and climate change implications : A case study of La Réunion cloud forest
… for the idea that bryophytes are excellent early warning signals for predicted climate changes.
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Examining The Sustainability Of The Current Account Balance Using A Probability Approach
… identifying unsustainable deficits and providing early warning signals. We further find that the unsustainability risk does not relate to whether the government or the private sector is the main driver of the current account balance. Our model further demonstrates responsiveness to short-term …
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From ambiguity to action: Rethinking the origins of shocks and crises
… macroeconomic indicators in capturing early-stage systemic stress, it rethinks how crises originate, evolve, and are interpreted – particularly within the South African context. The conceptual foundation is established in the 'Introduction' (Chapter 1) of the dissertation, by examining …
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The Use of Financial Statements to Predict the Stock Market Effects of Systemic Crises
… leverage and current ratios can be used as early warning signals based on both the multivariable fractional polynomials estimation technique and structural equation modeling. However, the out-of-sample tests showed that the imbalance between current assets and current liability would be the …
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Essays in financial economics
… bias to assess the value of these measures as "early-warning signals". Finally, we explore the possibility of combining these measures to produce even more informative indicators of systemic risk. In Chapter 3, joint with Andrew Lo and Silvia Sgherri, we construct two global systemic In Chapter …
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The effects of 2007-2008 crisis on the CDS and the interbank markets: Empirical investigations
… and highlight the importance of these factors as early warning indicators of financial distress. Prior to the crisis, the borrowing segment of the market exhibits distinctive features such as highly volatile and multimodal distributions suggesting the occurrence of distortions in the cross-section …
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Detecting anthropogenic impacts on estuarine benthic communities
… view of the ecosystem and potentially providing early warning signals of disturbance. A manipulative nutrient enrichment experiment was conducted in two estuaries and environmental DNA (eDNA) metabarcoding was used to examine the response of eukaryotic (18S rRNA), diatom only (rbcL) and bacterial …
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Canaries in the coal mine: Boosted machine learning for the classification of recessions in the eurozone business cycle
… of which eurozone nations are the most effective early warning predictors of general recession within the eurozone. This research challenges the idea within the literature that the largest economies (Germany, France, Italy) and their various industrial indices make for the most accurate predictive …
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Financial Network Stability and Structure: Econometric and Network Analysis
… a systemic risk indices (SRI) which provide early warning signals for systemic instability and also the rank order of the systemic importance and vulnerability of the banking systems. The empirical model is based on BIS Consolidated Banking Statistics for the exposures of 19 national banking …
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Savanna dynamics under extreme conditions
… from a new perspective: I search for an early warning indicator of the process to be used as a prevention tool for savanna conservation. In order to perform all this work I developed a mathematical ecohydrological model of Ordinary Differential Equations (ODEs) with three variables: soil …