Judgmental approach to forecasting bankruptcy

Article Abstract:

Usage of judgmental model, also called Koundinya and Puri model, proves to be effective in forecasting business bankruptcy. Study shows that the judgmental model is more effective than the Altman model in forecasting financial failure as revealed by an analysis of seven failed firms where judgmental model scored a higher predictive success rate compared to Altman model. The judgmental model is also an effective forecasting tool when it comes to assessing the probability of a company's future bankruptcy.

Analysis, Bankruptcy, Business failures, Prediction theory

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Forecasting the effect of price changes on net revenue across different market segments

Article Abstract:

A study of demand models developed by New York Telephone, now known as NYNEX, to estimate price-elasticity relationships has revealed that their statistical properties are very good. Elasticity estimates for the Business AMU (additional message unit) model are -.314 (own), +.148 (cross substitute), and -.231 (cross complementary). Those figures indicate that if Business AMU service prices were raised 10%, demand for the service would fall 3.14%.

Pricing Policy, Pricing, NYNEX Corp., NYN

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Forecasting with limited information: a study of the Norwegian ISDN access market

Article Abstract:

Forecasting the Integrated Services Digital Network market in Norway is discussed. Forecasting with little information is highlighted.

Norway, Statistical Data Included, Forecasts and trends, Integrated Services Digital Network

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