Sovereign Debt Ratings: A Judgmental Model Based on the Analytic Hierarchy Process
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Cited by:
- Timothy J Sinclair, 2000. "Reinventing Authority: Embedded Knowledge Networks and the New Global Finance," Environment and Planning C, , vol. 18(4), pages 487-502, August.
- Levary, Reuven R. & Wan, Ke, 1999. "An analytic hierarchy process based simulation model for entry mode decision regarding foreign direct investment," Omega, Elsevier, vol. 27(6), pages 661-677, December.
- Markus Behn & Rainer Haselmann & Jonas Sobott & Rüdiger Weber & Dorje Wulf, 2013. "Welche Aussagekraft haben Länderratings? Eine empirische Modellierung der Ratingvergabe während der europäischen Staatsschuldenkrise," Schmalenbach Journal of Business Research, Springer, vol. 65(1), pages 2-31, February.
- Andr??s Ramirez & Hakan Saraoglu, 2009. "An Analytic Approach To Selecting A Nonprofit," William Davidson Institute Working Papers Series wp951, William Davidson Institute at the University of Michigan.
- Tennant, David F. & Tracey, Marlon R. & King, Damien W., 2020. "Sovereign credit rating: Evidence of bias against poor countries," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
- Hanwen Chen & Wang Dong & Hongling Han & Nan Zhou, 2017. "A comprehensive and quantitative internal control index: construction, validation, and impact," Review of Quantitative Finance and Accounting, Springer, vol. 49(2), pages 337-377, August.
- Paudyn, Bartholomew, 2013. "Credit rating agencies and the sovereign debt crisis: performing the politics of creditworthiness through risk and uncertainty," LSE Research Online Documents on Economics 59626, London School of Economics and Political Science, LSE Library.
- Olga Porro & Francesc Pardo-Bosch & Núria Agell & Mónica Sánchez, 2020. "Understanding Location Decisions of Energy Multinational Enterprises within the European Smart Cities’ Context: An Integrated AHP and Extended Fuzzy Linguistic TOPSIS Method," Energies, MDPI, vol. 13(10), pages 1-29, May.
- Yucel, Eray, 2011. "A Review and Bibliography of Early Warning Models," MPRA Paper 32893, University Library of Munich, Germany.
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