Examinando por Materia "CRISIS ECONÓMICA"
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Ítem Análisis comparativo entre la Ley 1116 de 2006 y el Decreto 560 de 2020 : los incentivos económicos de cara a la función conservativa en los procesos de insolvencia(Universidad EAFIT, 2023) Jiménez Reales, Cristian Daniel; Martínez de Ávila, Jorge Enrique; Villa García, Luis FelipeThe corporate insolvency regime in Colombia is framed in Law 1116 of 2006, such regulatory provision arose because of the advances that had been achieved in the country in insolvency matters, mostly through decrees, and that served as a starting point for the current Colombian insolvency regime. Law 1116 was issued in 2006, and has been complemented by subsequent provisions that have contributed to form a regulatory framework in terms of insolvency law, such as Decree 1429 of 2010, which have contributed to further strengthen the regulatory body of insolvency law in Colombia, however, economic incentives and disparities between rules issued during the pandemic remain a pending task, the insolvency processes regulated by Decree 560 of 2020 during the COVID-19 pandemic allowed companies to initiate more agile and efficient processes during the crisis pandemic, which achieved the protection of credit, employment and the company by enforcing the conservative function of insolvency law. Therefore, it is essential that the incentives that showed very good results in the 2020 crisis are maintained over time and can contribute to further improve the national economy.Ítem Análisis de las aerolíneas en Colombia : estructura financiera y probabilidad de quiebra(Universidad EAFIT, 2023) Marín Marín, Ana Delfy; López Meneses, Jessica Leandra; Téllez Falla, Diego FernandoDifferent airlines have closed their operations due to financial difficulties, agravated by the COVID-19 pandemic, accompanied by the increase in fuel prices because of the conflict in Ukraine. The aim of this study is to carry out a DuPont analysis of the indicators of financial leverage, profit margin on sales and efficiency in the operation of assets. To determine the financial performance and the possible economic factors that can lead to insolvency situations for airlines in Colombia comparing them with another regions of the world in the last four years (2019 to 2022). Furthermore, under Altman's Z2-score model, one of the most used for estimating the risk of bankruptcy in companies from different sectors, the aim is to determine the state of the financial health of the companies studied and the possible risk of bankruptcy. The information from the financial statements of sixteen companies was taken as a basis, four of which are Colombian companies, nine are from other regions of America and three from countries located in another ontinents, recognized worldwide as the most profitable in the world in 2022 (Conocedores.com, 2023). Of the sixteen airlines, nine operate under the low-cost model and the other seven with the regular model. The results reflect that they do not have a healthy financial situation and 81 percent present financial insolvency and a high probability of bankruptcy. The findings could be significant for managers, executives and those responsible for the sector, allowing them to make preventive decisions in crisis situations.Ítem Are pandemics bad for business? Evidence from the US COVID-19 experience(Universidad EAFIT, 2020) Escobar, María Antonia; Tobón Zapata, SantiagoThe economic downturn caused by the COVID-19 contingency cannot be de- nied. Many authors have studied the effects of the sanitary emergency on the labor force, demand, and supply of goods and services. This paper aims to understand the consequences of mobility restrictions caused by the pandemic on the business environment. Through the use of Google Mobility and The New York Times report, I use stay at home orders as a proxy for mobility restrictions. The effect of said restrictions on initial unemployment benefit claims and new business applications provides an insight into the change in people’s livelihoods. I use Difference in difference and event study method- ologies on data from 2010 to the third week of August 2020. I find that the restrictions on mobility had a significant impact on both outcome variables. The effect on unemployment claims was still present at the time of this paper while the behavior of new business application was mostly affected for the first few weeks and then had a quick rebound.Ítem Capital humano y el crecimiento económico en Chile: 1967 - 2007(Universidad EAFIT, 2015) Arbeláez Correa, Camilo; Breton, Theodore RichardÍtem La crisis financiera de 2008 y el efecto de la estructura de capital sobre el desempeño financiero de las empresas del sector de la construcción en Colombia(Universidad EAFIT, 2021) Whitaker May, Mitzy Paola; Vergara Garavito, Judith CeciliaThe purpose of this document is to evaluate the impact that the 2008 financial crisis generated on the relationship between the capital structure and the performance of companies in the Colombian construction sector. The panel data estimate shows that this relationship was negative and that the crisis did not alter it.Ítem Determinantes financieros del fracaso empresarial en Colombia(Universidad EAFIT, 2021) Vega Cabrera, Ana Patricia; Garzón Garzón, Ramón; Restrepo Tobón, Diego AlexanderThis project identifies the financial variables that determine business failure in Colombia from 1995 to 2018, controlling factors such as fixed time and macro-sector effects for lagged values of the variables at one, two and three years. The financial indicators which turned out to better explain business failure were determined based on the financial statements reported by Colombian companies to the Enterprise Information System (Sistema de Información Empresarial, SIREM), of Superintendencia de Sociedades, and through logistic regression logit model analysis. As a result, the most relevant variables which measure the probability of bankruptcy for a company are related to liquidity (Available / sales and current assets / total assets), solvency (Total liabilities / total assets) and control by size (Total assets and operative income). Understanding the factors which determine companies’ failure, eases administrators on appropriate decision making, taking required measures to avoid non-compliance events that risk financial survival and stability of the enterprises.Ítem Estrategias e intensidad de la innovación en época de crisis económica: evidencia a nivel de firma para España y Alemania(Universidad EAFIT, 2017) Gómez Vera, Estefanía; Tamayo Plata, Mery Patricia; Badillo Enciso, Erika RaquelÍtem Un indicador líder para el ISE (Indicador de Seguimiento a la Economía)(Universidad EAFIT, 2015) Rodríguez Ocampo, Juan Sebastián; Langebaek Rueda, Andrés; L¿Ítem Modelación de la probabilidad de quiebra en las empresas de energía eléctrica en Colombia(Universidad EAFIT, 2023) Castaño Ramírez, Edwin Arley; Támara Ayús, Armando LeninÍtem Quiebra de Coomeva EPS(Universidad EAFIT, 2023) Biancha Potes, Maria Juliana; Lerma Martínez, Andrés Eloy; Vergara Garavito, Judith CeciliaÍtem Quiebra empresarial caso Avianca Holdings S.A(Universidad EAFIT, 2021) Godoy Godoy, Nestor Camilo; Pérez Fernández, Adriana Katerine; Vergara Garavito, Judith CeciliaBusiness bankruptcy is a risk to which companies are subject since its creation, and is present in all different sectors: services, retail, banking, airlines, etc. In this research work, the possible bankruptcy factors that could affect the Avianca Holdings company are presented. The most used models to determine bankruptcies are taken as a basis: the Altman Z-Score model, the Olhson model and the Beaver model. There are many investigations and models that can explain business bankruptcies; however, according to the investigation carried out for the Avianca Holdings Airlines case, they are the ones that can explain both its case and the respective development of its bankruptcy.