Valuation a company represents a major challenge since it is necessary to incorporate various risk factors to determine their "fair" value. The real options method show stock price for Aguas Andinas company, around $ 473 (U$ 0.68) per share, higher than the historical result of the action. A review of market reports reveals confidence in this company, based on its investment plan and business projections. The results show that real options methodology generates additional value, mainly due to the positive impact of the risk on the value of the action and the variability of income. The methodology of real options requires further investigation, for a final decision.

In this paper we analyze investment portfolios of Chilean market, using the average model variance proposed by Markowitz, particularly using the variance-covariance matrix of unconditional and conditional, where the latter is estimated through GARCH models. Then, we evaluate the performance of these portfolios using as a reference (benchmark) a market portfolio given by the general index of share prices (IGPA) of Chilean market.

This research shows the portfolios optimization using micro genetic algorithms, to resolve the Markowitz's selecting investments model like a multi-objetive optimization, where is maximized profitalility and minization, where is maximized profitability and minimizing the risk, thus create a negotiation between the risk, thus create a negotiation between the two objectives, then find optimal solution. To solve this problem need a genetic algorithm for multi-objetive optimization, based Pareto's optimal. The results show that this application is more efficient than other similar processes(Non-dominated Sorting Genetic Algoritm II(NSGA II) and Pareto Archive Evolution Strategy (PAES)), but considering the period and the local market characteristics, its predictive power low.

The determinants of spread are internal variables of each bank, market variables and macroeconomic variables. The behavior of each of these variables on spreads, can determine the efficiency of the financial system. To establish the relationship-specific data are used a number of banks in the market and perform regressions, according to the characteristics of these To determine the regressions used the fixed effects model and random effects model and generalized least square (GLS). The paper shows that Chile has an inefficient banking market, due to its monopolistic tendencies. While this inefficiency does not create competitive disadvantages worldwide, generates an extra charge for local customers

The present study focuses on the valuation of a project through real options. It suggests that the flexibility that this type o projects have provides a value added to it, considering that the fact of being able to decide the most appropriate time to expand given the different potential scenarios in the long term. In particular, it is desired to valuate the option of deferring the expansion strategy through the construction of branches in various cities of the country It was possible to infer that the real option of postponing an expansion project generates an additional value, mainly due to the benefit of opening an branch before schedule, considering the risk effect and variability.

In this paper we analyze investment portfolios of Chilean market, using the average model variance proposed by Markowitz, particularly using the variance-covariance matrix of unconditional and conditional, where the latter is estimated through GARCH models. Then, we evaluate the performance of these portfolios using as a reference (benchmark) a market portfolio given by the general index of share prices (IGPA) of Chilean market.

This research shows the portfolios optimization using micro genetic algorithms, to resolve the Markowitz's selecting investments model like a multi-objetive optimization, where is maximized profitalility and minization, where is maximized profitability and minimizing the risk, thus create a negotiation between the risk, thus create a negotiation between the two objectives, then find optimal solution. To solve this problem need a genetic algorithm for multi-objetive optimization, based Pareto's optimal. The results show that this application is more efficient than other similar processes(Non-dominated Sorting Genetic Algoritm II(NSGA II) and Pareto Archive Evolution Strategy (PAES)), but considering the period and the local market characteristics, its predictive power low.

The determinants of spread are internal variables of each bank, market variables and macroeconomic variables. The behavior of each of these variables on spreads, can determine the efficiency of the financial system. To establish the relationship-specific data are used a number of banks in the market and perform regressions, according to the characteristics of these To determine the regressions used the fixed effects model and random effects model and generalized least square (GLS). The paper shows that Chile has an inefficient banking market, due to its monopolistic tendencies. While this inefficiency does not create competitive disadvantages worldwide, generates an extra charge for local customers

The present study focuses on the valuation of a project through real options. It suggests that the flexibility that this type o projects have provides a value added to it, considering that the fact of being able to decide the most appropriate time to expand given the different potential scenarios in the long term. In particular, it is desired to valuate the option of deferring the expansion strategy through the construction of branches in various cities of the country It was possible to infer that the real option of postponing an expansion project generates an additional value, mainly due to the benefit of opening an branch before schedule, considering the risk effect and variability.

Valuation a company represents a major challenge since it is necessary to incorporate various risk factors to determine their "fair" value. The real options method show stock price for Aguas Andinas company, around $ 473 (U$ 0.68) per share, higher than the historical result of the action. A review of market reports reveals confidence in this company, based on its investment plan and business projections. The results show that real options methodology generates additional value, mainly due to the positive impact of the risk on the value of the action and the variability of income. The methodology of real options requires further investigation, for a final decision.