ARTÍCULO
TITULO

Mislukkingvoorspelling vir ondernemings, met inagneming van tydsdimensies

Pierre Olivier    

Resumen

AbstractFailure prognosis for companies with due allowance for time dimensions In the United States of America it was initially attempted to predict financial failure by means of compiling a failure-prognosis model consisting of a number of weighted ratios. The model developed was a general model which only examined one time dimension of failure, namely, differentiating between solvent and insolvent companies one year prior to financial failure. The model was applied, without any adjustments, in penultimate and prior years, without ascertaining whether the change in time dimension has an influence on the classification results of the model. A similar model was later developed for South African circumstances. This model had the same shortcomings. A possible problem, which was quite likely not taken into account in the compilation of the existing models, was whether a general failure-prognosis model provided the best classification results in all possible circumstances. In this I article endeavour to determine whether or not failure-prognosis models, which are compiled for specific circumstances, provide more accurate classification results than a general model. Failure-prognosis models were compiled separately for companies, for periods of one and four years preceding financial failure. The models were interchanged and it was found that results were unreliable when the incorrect model was applied. Models compiled to predict business failure within the first year, for example, did not fare well when applied to earlier years and vice versa.

 Artículos similares

       
 
Yaru Guo, Tian-Chyi Jim Yeh and Yonghong Hao    
Karst aquifers are prominent sources of water worldwide; they store large amounts of water and are known for their beautiful springs. However, extensive groundwater development and climate variation has resulted in a decline in the flow of most karst spr... ver más
Revista: Water

 
Zhaoxin Wang, Tiejun Wang and Yonggen Zhang    
Knowledge of both state (e.g., soil moisture) and flux (e.g., actual evapotranspiration (ETa) and groundwater recharge (GR)) hydrological variables across vadose zones is critical for understanding ecohydrological and land-surface processes. In this stud... ver más
Revista: Water

 
Ludek Bures, Petra Sychova, Petr Maca, Radek Roub and Stepan Marval    
An appropriate digital elevation model (DEM) is required for purposes of hydrodynamic modelling of floods. Such a DEM describes a river?s bathymetry (bed topography) as well as its surrounding area. Extensive measurements for creating accurate bathymetry... ver más
Revista: Water

 
Zuhier Alakayleh, Xing Fang and T. Prabhakar Clement    
This study aims at furthering our understanding of the Modified Philip?Dunne Infiltrometer (MPDI), which is used to determine the saturated hydraulic conductivity Ks and the Green?Ampt suction head ? at the wetting front. We have developed a forward-mode... ver más
Revista: Water

 
Haoran Liu, Kehui Xu, Bin Li, Ya Han and Guandong Li    
Machine learning classifiers have been rarely used for the identification of seafloor sediment types in the rapidly changing dredge pits for coastal restoration. Our study uses multiple machine learning classifiers to identify the sediment types of the C... ver más
Revista: Water