TY - GEN
T1 - Assessment of the Forecasting Capacity of the Bankruptcy Prediction Models in Companies Listed on the Stock Exchange in Chile and Brazil
AU - Umaña-Hermosilla, Benito
AU - Cornejo-Saavedra, Edinson
AU - Riquelme-Garcés, Valeria
AU - de la Fuente-Mella, Hanns
AU - Elórtegui-Gómez, Claudio
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - In this research, the bankruptcy situation of companies listed on the Santiago de Chile Stock Exchange and the São Paulo Stock Exchange are tested, through models: Z-Score, Logit and Probit, comparing the forecast of the companies classified as likely to fail, in order to assess whether the models could anticipate a possible crisis situation. The results indicate that, for the year 2016, the bankruptcy of 13 Chilean companies and 59 Brazilian companies, mostly belonging to the construction and manufacturing sector in both countries, was forecast. It is concluded that the Z-Score and Z1 Models would be more applicable to the economies under study, as they were correct in the forecast of all Chilean companies and 49 Brazilian companies, and it is always necessary to complement the tools oriented to financial analysis.
AB - In this research, the bankruptcy situation of companies listed on the Santiago de Chile Stock Exchange and the São Paulo Stock Exchange are tested, through models: Z-Score, Logit and Probit, comparing the forecast of the companies classified as likely to fail, in order to assess whether the models could anticipate a possible crisis situation. The results indicate that, for the year 2016, the bankruptcy of 13 Chilean companies and 59 Brazilian companies, mostly belonging to the construction and manufacturing sector in both countries, was forecast. It is concluded that the Z-Score and Z1 Models would be more applicable to the economies under study, as they were correct in the forecast of all Chilean companies and 49 Brazilian companies, and it is always necessary to complement the tools oriented to financial analysis.
KW - Bankruptcy
KW - Econometric Modeling
KW - Financial Analysis
KW - Z-Score Index
UR - http://www.scopus.com/inward/record.url?scp=85112325112&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-80876-1_17
DO - 10.1007/978-3-030-80876-1_17
M3 - Conference contribution
AN - SCOPUS:85112325112
SN - 9783030808754
T3 - Lecture Notes in Networks and Systems
SP - 119
EP - 128
BT - Advances in Human Factors, Business Management and Leadership - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors, Business Management and Society, and Human Factors in Management and Leadership, 2021
A2 - Kantola, Jussi Ilari
A2 - Nazir, Salman
A2 - Salminen, Vesa
PB - Springer Science and Business Media Deutschland GmbH
T2 - AHFE Conferences on Human Factors, Business Management and Society, and Human Factors in Management and Leadership, 2021
Y2 - 25 July 2021 through 29 July 2021
ER -