The research that gives rise to this article intends to provide in depth knowledge on the operation, precision, accuracy, and veracity of Altman Z-score and also to determine if it can be effective and adaptable to the conditions of a specific context such as the Peruvian market. In this vein, financial statements from 2008 and 2012 of those companies that are part of the Selective Index of the Lima Stock Exchange (isbvl) which, in the end are the most representative of the Peruvian Stock Market, are analyzed. Companies are analyzed in terms of Altman Z-score. The analysis is focused on the assessment of financial ratios which indicate the fundamental behavior of a company. It is noted that the interpretation of these ratios depends on the context and is not just numerical. It is also related to the behavior itself of the assessed company.

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This study aims to determine the impact of the Latin American Integrated Market (MILA) start-up in the main indicators of the stock markets of the countries that conform it (Chile, Colombia, and Peru). At the end, several indicators were reviewed to measure the impact on profitability, risk, correlation, and trading volume between markets, using indicators such as: annual profitability, standard deviation, correlation coefficient, and trading volume. The sample period runs from November 2008 to August 2013; and involves the three stock markets associated with MILA: Bolsa de Comercio de Santiago (BCS), Bolsa de Valores de Colombia (BVC) y Bolsa de Valores de Lima (BVL). An additional evaluation for further research would consist of the calculation of relevant indicators to corroborate the validity of the effects found in this investigation corresponding to the integration of the stock exchanges of Lima, Santiago and Bogota, after the integration of the Mexican stock exchange that occurred in 2014.

Resumen.-Diversos autores sostienen que la gestión de proyectos se conduce con técnicas cuantitativas que corresponden a un comportamiento de causa-efecto lineal; sin embargo, debería ser tratada con técnicas que corresponden a un comportamiento de causa-efecto no lineal. Este estudio explora el comportamiento de la gestión de proyectos bajo un enfoque de causa-efecto no lineal utilizando la teoría del caos y cuatro variables de gestión proyectos: tiempo, recurso humano, calidad, y costo. Se utiliza la ley de Parkinson y la teoría del caos, se formulan ecuaciones matemáticas para explicar el comportamiento de causa-efecto no lineal en la gestión de proyectos. El estudio fue realizado considerando la experiencia de la gestión en proyectos mineros. El modelo matemático encontrado puede ser utilizado por los académicos para profundizar el análisis de los motivos de la complejidad de la gestión de proyectos. Asimismo, este estudio es de utilidad para los gerentes en la toma de decisiones para el cálculo de la duración esperada del proyecto.