En la presente tesis de aplicación de Factores de Inversión: Value, Volatility, Quality y Momentum en la Bolsa de Valores de Lima (BVL), se utilizó como Benchmark el Índice General de la Bolsa de Valores de Lima (IGBVL), conformada por 39 valores, que mediante filtros de liquidez y tiempo de cotización en la Bolsa quedaron 27, por falta de datos se llegó finalmente a 25 valores. Luego, se definen las variables de cada factor. Para el Factor Value: PER y PBV (Price to Book). Para el Factor Momentum la variable momento de los precios. Para el Factor Quality la variable ROE. Para el Factor Volatility la variable Volatilidad total. Seguidamente, se aplican procedimientos para analizar las variables de los cuatro factores a los datos para escoger aquellos que puedan superar al Benchmark. Finalmente, se demuestra que en los últimos diez años que el portafolio, con valores que tengan un ratio PER (Variable del Factor Value) inferior al promedio de la Bolsa y actualizando la cartera de manera trimestral, tiene un mejor rendimiento que el Benchmark y el portafolio conformado por empresas con ratio PER superior al promedio de la Bolsa. Los resultados han sido enmarcados en un nivel de confianza al 95%. / In this thesis of application of Investment Factors: Value, Volatility, Quality and Momentum in the Lima Stock Exchange (BVL), the General Index of the Lima Stock Exchange (IGBVL) was used as Benchmark, consisting of 39 values, which by means of liquidity filters and time of quotation in the Stock Exchange were 27, due to lack of data, finally 25 values were reached. Then, the variables of each factor are defined. For the Value Factor: PER and the Price to Book. For the Momentum Factor the price momentum variable. For the Quality Factor, the variable ROE. For the Volatility Factor the variable Total Volatility. Next, procedures are applied to analyze the variables of the four factors to the data to choose those that can surpass the Benchmark. Finally, it is shown that in the last ten years that the portfolio, with values that have a PER (Variable Value Factor) ratio lower than the average of the Exchange and updating the portfolio quarterly, has a better performance than the Benchmark and the portfolio made up of companies with a PER ratio higher than the average of the Stock Exchange. The results have been framed at a 95% confidence level. / Trabajo de investigación

The aim of this Master's thesis was to find out enterprise value dated 1.1. 2011, characterise risk connected with this value, for example as a variability of possible results and to judge how the enterprise was affected by the economic crises. I used method discounted cash flow in variant FCFF to calculate enterprise value. I used regression analysis as the basic method to predict the most significant value generator, sales, then I adjusted the results according to the predictions published in qualitative studies of the Czech building industry. The demand for enterprise production was reduced as a result of the economic crises; it enforced production reduction and led to decline in sales and profit in years 2009 and 2010, deteriorating of rentability indicators and long-term assets turnover. I found out the enterprise value with the help of software Crystal Ball also by the stochastic model. In this case I regarded the factors influencing the enterprise value as random quantities. Variability of the possible results ranges between upper and lower limit, i.e. between 1,8 and 3,2 billion crowns.