Valoración de la empresa ALISCCA por método de flujo de caja libre descontado

Las pymes representan la mayor cantidad de empresas en Colombia, considerándose esto un aporte significativo para la economía y desarrollo del país, sin embargo, la incorporación de herramientas financieras para la toma de decisiones no es considerada regularmente, tal vez porque no tienen conocimiento o no abordan el tema a cabalidad, aunque administrativamente puedan ser necesarias para poder cumplir las metas y objetivos que la empresa quiere lograr -- Los empresarios se preguntan por el valor de la empresa sin tener claridad de su concepto, teniendo esto en cuenta, esta propuesta está orientada a implementar en la empresa Laboratorio ALISCCA, una valoración que le brinde herramientas necesarias para considerar y evaluar su proyección empresarial, fortaleciendo el rumbo y las necesidades administrativas de la empresa

SCALABLE APPROXIMATION OF KERNEL FUZZY C-MEANS

Virtually every sector of business and industry that uses computing, including financial analysis, search engines, and electronic commerce, incorporate Big Data analysis into their business model. Sophisticated clustering algorithms are popular for deducing the nature of data by assigning labels to unlabeled data. We address two main challenges in Big Data. First, by definition, the volume of Big Data is too large to be loaded into a computer’s memory (this volume changes based on the computer used or available, but there is always a data set that is too large for any computer). Second, in real-time applications, the velocity of new incoming data prevents historical data from being stored and future data from being accessed. Therefore, we propose our Streaming Kernel Fuzzy c-Means (stKFCM) algorithm, which reduces both computational complexity and space complexity significantly. The proposed stKFCM only requires O(n2) memory where n is the (predetermined) size of a data subset (or data chunk) at each time step, which makes this algorithm truly scalable (as n can be chosen based on the available memory). Furthermore, only 2n2 elements of the full N × N (where N >> n) kernel matrix need to be calculated at each time-step, thus reducing both the computation time in producing the kernel elements and also the complexity of the FCM algorithm. Empirical results show that stKFCM, even with relatively very small n, can provide clustering performance as accurately as kernel fuzzy c-means run on the entire data set while achieving a significant speedup.

Reviewing the hedge funds literature I:hedge funds and hedge funds' managerial characteristics

This paper summarizes the literature on hedge funds (HFs) developed over the last two decades, particularly that which relates to managerial characteristics (a companion piece covers the return and risk management characteristics of HFs). It classifies, the current HF literature, suggesting which critical problems have been “solved” and which problems have not been yet adequately addressed. It also discusses the effects of past financial regulation and the prospects for the effect of new financial regulation on the HF industry and its performance and risk management practices, and suggests new avenues for research. Furthermore, it highlights the importance of managerial characteristics for HF performance, and the successes and the shortfalls to date in developing more sophisticated HF-related risk management tools.

Reviewing the hedge funds literature II:hedge funds' returns and risk management characteristics

This paper summarizes the literature on hedge funds (HFs) developed over the last two decades, particularly that which relates to risk management characteristics (a companion piece investigates the managerial characteristics of HFs). It discusses the successes and the shortfalls to date in developing more sophisticated risk management frameworks and tools to measure and monitor HF risks, and the empirical evidence on the role of the HFs and their investment behaviour and risk management practices on the stability of the financial system. It also classifies the HF literature considering the most recent contributions and, particularly, the regulatory developments after the 2007 financial crisis.

Recent advances in hedge funds' performance attribution:performance persistence and fundamental factors

We survey articles on hedge funds' performance persistence and fundamental factors from the mid-1990s to the present. For performance persistence, we present some pioneering studies that contradict previous findings that hedge funds' performance is a short term matter. We discuss recent innovative studies that examine the size, age, performance fees and other factors to give a 360° view of hedge funds' performance attribution. Small funds, younger funds and funds with high performance fees all outperform the opposite. Long lockup period funds tend to outperform short lockups and domiciled funds tend to outperform offshore funds. This is the first survey of recent innovative and challenging studies into hedge funds' performance attribution, and it should be particularly useful to investors trying to choose between hedge funds.

Análisis financiero de la empresa Cementos Argos de Colombia S.A y el sector cementero en Colombia

A partir del 2010, el sector cementero en Colombia experimentó un crecimiento en sus ventas que lo ha posicionado como uno de los sectores más rentable en el país. Esta oportunidad de crecimiento ha permitido que Cementos Argos de Colombia se convirtiera en la empresa líder del sector. Expandiéndose así a mercados internacionales teniendo presencia en países de Centroamérica y Estados Unidos. Por lo tanto es necesario indagar las implicaciones que han tenido los cambios en el sector en las finanzas de la empresa. Para tal fin, se realiza el presente trabajo, que busca determinar de qué manera Cementos Argos de Colombia usa sus recursos para ser una de las empresas del sector mejor posicionada a pesar del crecimiento del mismo y la fuerte competencia que existente. Para esto, se estableció el análisis financiero de Cementos Argos de Colombia, diferentes herramientas e indicadores financieros que ayudaron a identificar, analizar, describir y evaluar los aspectos claves que garantizan el éxito de la empresa.

Motofast

En el siguiente texto se pretende evidenciar el análisis y desarrollo de diferentes ideas que nos llevan a dar solución a una problemática actual como lo es la movilidad; lo que se pretende es ofrecer un servicio innovador dirigido especialmente a mujeres quienes pertenecen en un alto porcentaje a la población que habita en la ciudad de Bogotá D.C, de esta manera pretendemos reflejar todo el proceso que llevamos a cabo tales como la generación, valoración y evaluación de servicios, análisis de la industria, prueba de concepto y análisis financiero entre otras, lo cual nos permitió definir la viabilidad del proyecto, el nivel de innovación en el mercado, así como sus implicaciones financieras.

Programa avanzado para la fomración empresarial

En el presente trabajo se realizará una investigación donde se evidenciarán diferentes alternativas de negocios dentro del sector de aplicaciones móviles para el mercado Colombiano , así como la funcionalidad de cada una de ellos en el mismo, adicional a esto se escogerá la que tenga mayor viabilidad en cuánto a impacto financiero y social de acuerdo a una serie de herramientas tales como matriz de valoración de oportunidades, posicionamiento estratégico, las cinco fuerzas de Porter, ventaja que lo diferencia, PESTA, análisis cualitativo, prueba de concepto y finalmente análisis financiero mediante una proyección a 5 años, para así poder construir un modelo de negocio contundente y presentarlo a un grupo de inversionistas que podrían otorgar el capital necesario para poner en marcha el proyecto.

Introduction to Discounted Cash Flow Analysis and Financial Functions in Excel

The financial and economic analysis of investment projects is typically carried out using the technique of discounted cash flow (DCF) analysis. This module introduces concepts of discounting and DCF analysis for the derivation of project performance criteria such as net present value (NPV), internal rate of return (IRR) and benefit to cost (B/C) ratios. These concepts and criteria are introduced with respect to a simple example, for which calculations using MicroSoft Excel are demonstrated.

Financial and economic analysis of prevention of needlesticks in the hospital sector

This paper discusses the financial and economic analysis of prevention of needlestick accidents related to Occupational Health and Safety projects and presents the application to a case study involving a Hospital.

Financial Risk Analysis of Portuguese Textile and Tourism Companies

Textile and tourism sectors are two important industries in the Portuguese economy. However, its high exposure to both internal and international economic volatility make the companies operating in these economic sectors particularly vulnerable to economic crises, such as the ones which have been impacting Portugal and the European Union. The objective of this paper is to evaluate and understand the impact of size and age on the financial health of textile and tourism companies, measured by economic indices. An empirical based model is proposed. Its implications are derived and tested on a sample of 4061 Portuguese companies from textile and tourism sectors, during the period 2005-2009. The findings suggest that age has a major impact on the risk of failure, rather than size. Whereas the effect of age is generally positive regarding the financial health of the company, the effect of size is less clear and ultimately depends on the age of the company.

Financial Risk Analysis of Portuguese Textile and Tourism Companies

Textile and tourism sectors are two important industries in the Portuguese economy. However, its high exposure to both internal and international economic volatility make the companies operating in these economic sectors particularly vulnerable to economic crises, such as the ones which have been impacting Portugal and the European Union. The objective of this paper is to evaluate and understand the impact of size and age on the financial health of textile and tourism companies, measured by economic indices. An empirical based model is proposed. Its implications are derived and tested on a sample of 4061 Portuguese companies from textile and tourism sectors, during the period 2005-2009. The findings suggest that age has a major impact on the risk of failure, rather than size. Whereas the effect of age is generally positive regarding the financial health of the company, the effect of size is less clear and ultimately depends on the age of the company.

Power law analysis of financial index dynamics

Power law PL and fractional calculus are two faces of phenomena with long memory behavior. This paper applies PL description to analyze different periods of the business cycle. With such purpose the evolution of ten important stock market indices DAX, Dow Jones, NASDAQ, Nikkei, NYSE, S&P500, SSEC, HSI, TWII, and BSE over time is studied. An evolutionary algorithm is used for the fitting of the PL parameters. It is observed that the PL curve fitting constitutes a good tool for revealing the signal main characteristics leading to the emergence of the global financial dynamic evolution.

Analysis of financial indices by means of the windowed Fourier transform

The goal of this study is to analyze the dynamical properties of financial data series from nineteen worldwide stock market indices (SMI) during the period 1995–2009. SMI reveal a complex behavior that can be explored since it is available a considerable volume of data. In this paper is applied the window Fourier transform and methods of fractional calculus. The results reveal classification patterns typical of fractional order systems.