Expected credit loss under IFRS9: an early warning model for predicting stage 2 transfers

Mancinelli, Veronica (A.A. 2018/2019) Expected credit loss under IFRS9: an early warning model for predicting stage 2 transfers. Tesi di Laurea in Risk management, Luiss Guido Carli, relatore Ulrich De Prins, pp. 81. [Master's Degree Thesis]

Full text for this thesis not available from the repository.

Abstract/Index

IFRS 9 and stage allocation. Classification of financial assets. Indicators and methods to predict stage 2 transfer. The importance of forecasting stage 2 transfer. Early warning model for predicting stage 2 transfers. Analysis of discriminatory power.

References

Bibliografia: pp. 64-67.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree program in Corporate Finance, English language (LM-77)
Chair: Risk management
Thesis Supervisor: De Prins, Ulrich
Thesis Co-Supervisor: Comana, Mario
Academic Year: 2018/2019
Session: Autumn
Deposited by: Alessandro Perfetti
Date Deposited: 13 Feb 2020 11:15
Last Modified: 13 Feb 2020 11:15
URI: https://tesi.luiss.it/id/eprint/25767

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