Early warning systems for sovereign debt crises: The role of heterogeneity

2006 ◽  
Vol 51 (2) ◽  
pp. 1420-1441 ◽  
Author(s):  
Ana-Maria Fuertes ◽  
Elena Kalotychou
Author(s):  
Erzsébet Győri ◽  
Arman Bulatovich Kussainov ◽  
Gyöngyvér Szanyi ◽  
Zoltán Gráczer ◽  
Kendebay Zhanabilovich Raimbekov ◽  
...  

Earthquakes are one of the most devastating natural disasters on Earth, causing sometimes huge economic losses and many human casualties. Since earthquake prediction is not yet possible, the purpose of civil protection is to reduce damage and protect human lives, in which the seismological networks of different countries play a very important role. Special applications of seismic networks are the early warning systems that can be used to protect vulnerable infrastructures using automated shutdown procedures, to stop high velocity trains and to save lives if the general public is notified about imminent strong ground shaking. In this paper, we describe the aims and operation of seismological networks, covering in more detail the early warning systems. Then we delineate the seismotectonic settings and seismicity in Hungary and Kazakhstan, furthermore, describe the operating seismological networks and the related scientific research areas with emphasis on civil protection. Hungary and Kazakhstan differ not only in the size of their territory, but also in their seismicity, therefore, in addition to the similarities, there are also significant differences between the aims and problems of their seismological networks.


2021 ◽  
Author(s):  
Jim Scott Whiteley ◽  
Arnaud Watlet ◽  
Jonathan Michael Kendall ◽  
Jonathan Edward Chambers

Abstract. We summarise the contribution of geophysical imaging to local landslide early warning systems (LoLEWS), highlighting how LoLEWS design and monitoring components benefit from the enhanced spatial and temporal resolutions of time-lapse geophysical imaging. In addition, we discuss how with appropriate laboratory-based petrophysical transforms, these geophysical data can be crucial for future slope failure forecasting and modelling, linking other methods of remote sensing and intrusive monitoring across different scales. We conclude that in light of ever increasing spatiotemporal resolutions of data acquisition, geophysical monitoring should be a more widely considered technology in the toolbox of methods available to stakeholders operating LoLEWS.


2021 ◽  
Vol 21 (12) ◽  
pp. 3863-3871
Author(s):  
Jim S. Whiteley ◽  
Arnaud Watlet ◽  
J. Michael Kendall ◽  
Jonathan E. Chambers

Abstract. We summarise the contribution of geophysical imaging to local landslide early warning systems (LoLEWS), highlighting how the design and monitoring components of LoLEWS benefit from the enhanced spatial and temporal resolutions of time-lapse geophysical imaging. In addition, we discuss how with appropriate laboratory-based petrophysical transforms, geophysical data can be crucial for future slope failure forecasting and modelling, linking other methods of remote sensing and intrusive monitoring across different scales. We conclude that in light of ever-increasing spatiotemporal resolutions of data acquisition, geophysical monitoring should be a more widely considered technology in the toolbox of methods available to stakeholders operating LoLEWS.


2021 ◽  
Vol 26 (4) ◽  
pp. 29-55
Author(s):  
Dr. Zahair Ahmed Ali Ahmed ◽  
Ameen Abdulgaleel Saeed Saeed

The study problem was that Yemeni Islamic banks did not rely on the results and outputs of financial analysis to predict failure before it occurs. Accordingly, the study aimed to find out to what extent Yemeni banks depend on financial analysis as a tool for predicting the default, and the extent of its ability to mitigate bank default at these banks. It also aimed to identify whether these banks use all financial analysis tools for making credit decisions. The researchers used the descriptive analytical method and distributed a questionnaire to the sample (50) of the credit employees at Yemeni Islamic banks. The data were analyzed using SPSS. The findings revealed that the Yemeni Islamic banks depend on financial analysis as a basis for disclosure of default, which has a main role in mitigating banking default. The banks usually use multi financial analysis tools when evaluating the credit status of clients; they do not use predicting financial default models as a main tool to predict failure before it occurs; and they do not have early warning systems to predict any possibility of customers’ default.


Author(s):  
Catherine Pattillo ◽  
Andrew Berg ◽  
Gian-Maria Milesi-Ferretti ◽  
Eduardo Borensztein ◽  
◽  
...  

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