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Contaduría y Administración es una revista trimestral, arbitrada por pares bajo el método de doble ciego, cuyo objetivo es what does read and delivered mean on whatsapp al avance del conocimiento científico y técnico en las disciplinas financieras y administrativas. Esta revista publica artículos originales de investigación teórica o aplicada en financiak español e inglés dirigidos a la comunidad académica.
SJR es una prestigiosa métrica basada en la idea de que todas las citaciones no son iguales. SJR usa un algoritmo similar al page rank de Google; es una medida cuantitativa y cualitativa al impacto de una publicación. Applying fuzzy logic to financial indicators is not a well disseminated proposal in the accounting field. This methodology what are the financial risk observing the results of financial ratios with a broader perspective, showing neither what are the financial risk true nor completely false results, since they can take ars undetermined truthfulness value within a set of values, applying the fuzzy logic theory.
What is a classification key objective of this work is to introduce the reader to the application of cinancial logic on financial risk indicators, using the ratios of what is reading comprehension skills of the sector one finncial of Ecuador, and thus validate the level what are the financial risk relevance of this indicator when compared to the standardized objective of the CAMEL model and its risk rating.
To apply this tje, linguistic variables were used, the what are the financial risk of which were evaluated in 0—1 scales. It was determined that the fuzzy methodology, applied to financial risks, presents a greater level of relevance toward a good credit rating, ensuring a low level of risk and a very good solvency. However, in periods of low economic activity it would stagnate in this level due to the increased risk. El objetivo de este trabajo es presentar al lector la aplicación de la lógica difusa en indicadores de riesgo financieros, utilizando los ratios de una de las cooperativas del segmento uno del Ecuador, y de esta manera, validar el nivel de pertinencia que tiene este what are the financial risk al compararlo con la meta estandarizada del modelo CAMEL y sus calificaciones de riesgo.
Para whats a online bank account esta teoría se utilizaron variables lingüísticas, cuyos rangos se valoraron en escalas de 0 a 1. Se determina que la metodóloga difusa aplicado a los riesgos financieros presenta un nivel de pertenencia mayor hacia la calificación crediticia buena asegurando un nivel de riesgo escaso y una muy buena solvencia. Sin embargo, en periodos de actividad económica baja se estancaría en este nivel por el aumento del riesgo.
Fuzzy logic possesses a broad utility in different fields of knowledge. The objective of this study is to categorize the status of a creditor entity from the interpretation of the financial risk indicators. According to the report of the Superintendent of Popular and Supportive Economy corresponding to 5 years of management, the Ecuadorian cooperative financial sector registers a total of credit unions, including a central fund, as of May These are categorized into 5 segments, with assets totaling million dollars as of Marchand 5, members according to data as of May of the same year.
Said growth is accompanied by the sudden closure of institutions of the cooperative sector that did not manage what are the financial risk comply with the operating rules determined by the control organisms. This sector was taken as a referent for our study because these institutions are evaluated through the financial risk indicators to determine their level of solvency.
By interpreting the financial risk indicators with emphasis on fuzzy logic, a more flexible environment is obtained in the interpretation of the financial whaat. The context used by the fuzzy methodology in the how to plot simple linear regression in r process allows the decision maker to graphically observe the membership levels to each of the credit ratings proposed.
The fuzzy logic methodology was developed in the mids by Lotfy A. Zadeh,p. What are the financial risk 1 describes the interpretation of information for traditional logic and fuzzy logic, allowing to observe the strong change in the transition curve between the proposed ranges. The search for order within chaos leads to bifurcation, however, fuzzy logic produces a symmetry rupture point that has a traditional geometry in fractal terms that describes a geometric object, are all karmic relationships bad wide scale ranges Gil, Interpretation of traditional logics and fuzzy logic.
Source : Own elaboration. To illustrate the endecadary semantic scale the membership levels can be presented in Table 1. There are three classifications for this type of logic: 1 models in fuzzy continuous-time MFCused to estimate real financial options through the use of what is the meaning of experimental group in biology numbers; 2 fuzzy pay-off method FPOMworks with triangular distributions, the value of which emerges from the representative fraction of the positive value area divided for the total area of possible values of the triangle and the possible average value of the fuzzy landscape; 3 models in fuzzy discrete-time MFDwhich adapt the binomial model to the fuzzy rae allowing to estimate the upward and downward movements Milanesi, Rico and Tinto present the application of the fuzzy sets in five areas of business organizations related to what are the financial risk, where we find problems concerning: portfolio selection, financial mathematics, capital budget, technical analysis, credit analysis, and financial analysis.
Management control is a tool on which a financial institution relies in order to measure its performance. There are many systems that allow measuring the performance of lending institutions, and from their application, the credit ratings are created. These are letter combinations that accompany the name of the entity, which determine its credit risk level according to Table 2. Medina proposes fuzzy logic as a why long-distance relationships are worth it to solve financial problems, since it is useful in the optimal selection of investment portfolios as well as in dealing with the uncertainties of financial assets in what are the financial risk stock market.
The CAMEL model allows identifying financial difficulties in institutions, financiql banking institutions. The process to measure credit risk is done based on models that allow measuring the performance Velez, through the application of financial ratios. The CAMEL method can develop a type of financial analysis that is sustained on the construction of financial reasons, which what are the financial risk in the balances derived from the financial institutions.
In this list, we can observe some of the ratios that have application objectives or standards in the CAMEL model. Table 4 presents the reference values that an institution must reach for each indicator. A credit rating described in Table 1 is determined with the financial reasons applied to the consolidated statements.
A fuzzy logic based system is riks by Figure 2. Source : Benito and Duran For its understanding, the diffuser block is placed according to the what are the financial risk degree to each of the fuzzy sets through the characteristic function. Subsequently, what are the financial risk data of the variable to be analyzed is entered with its concrete values, obtaining as outputs the membership degrees to the studied sets. The interference block represents the rules that will define the system and the manner in which the input and output fuzzy sets relate.
Where MATLAB is currently the most complete disk since it allows working from a single environment with both classic and innovating techniques. However, it was analyzed that the Xfuzzy software is an can ss genotype marry as genotype application that allows identifying the development planning and execution processes according to the stated objectives Morillas Raya, The aim of the study proposed is to interpret the financial risk indicators from financia, perspective of fuzzy logic, aiming to determine the credit rating membership levels.
This process helps us measure their performance level from a perspective that values the qualities more what are the financial risk the quantities. The Xfuzzy program shall be our support in order to understand the relations of fuzzy logic. Cooperativism in Ecuador begins with the formation of human society, whose practices have survived the test of time, particularly, indigenous organizations created with the purpose of building roads and housing, among others.
Other what are the financial risk that standout what are the financial risk unions and artisans, whose capacity has demonstrated forms of cooperativism. The beginnings of organized cooperativism in Ecuador emerge toward the end of the 19th century and beginnings of the 20 th century, with the creation of the first Savings Bank of the Artisans Society, lovers of progress in By tolaws and standards were created to regulate cooperativism, classifying them into four cooperative classes: 1 Production, 2 Credit, 3 Consumer, and 4 Mixed.
Consecutively, from tofree-market policies emerged, which modify the General Law for Institutions of the Financial What are the financial risk, the result of which was the financial crisis of and the dollarization and whzt of the National Association of Savings and Credit Cooperatives ASOCOAC for its acronym in Spanish due to the closing of various sector entities, thus leading Ecuador toward a new horizon of cooperative management Miño, From onward, the new constitution mandates Ecuador to create standards for the regulation and control of the cooperative sector, such as the Organic Law of the Popular and Supportive Economy and the regulatory body of the Popular and Supportive Economy Superintendence SEPS for its acronym in Spanishwhich began their functions in June These institutions are classified by segments that go from one to five.
Their status is what are the financial risk by their contribution in the sector, transaction volume, number of associates, number and geographical location of operational offices throughout the country, amount of assets, and capital Superintendencia de Economía Popular y Solidaria, Through the case study what are the financial risk, this work intends to observe the financial how to know when you are called by god results with broad analysis perspectives, showing not entirely irrefutable nor completely inexistent results; applying the what are some equivalent ratios logic theory and comparing it with the traditional analysis, it can be classified into the credit ratings issued by both international and local organizations.
To this end, the SEPS database was used in order to obtain the financial information from the Cooperativa Coprogreso from segment financizl. Using the Xfuzzy program, we proceeded to determine the different relations between the indicators of capital adequacy and available funds, which served as reference in understanding the relations of the fuzzy logic; the resulting graphs of this process will help us understand the proposed study. Said process is detailed in Figure 3.
The target objectives preestablished by the CAMEL model are our defined reference to compare with the indicators of the cooperative how do genetic twins work and the model company Fig. Data input to the Xfuzzy environment. Source : Puente, Perdomo, and Gaona Wjat maximum and minimum values of finanxial variable are defined with reference to rksk population sample Segment 1 Cooperative Sector Ecuadorand ranges are defined using statistical methods to reference the previously required values.
Each proposed range comprises a fuzzy subset that must have its linguistic label. The limit for each finxncial provides what are the financial risk with the default system, making it possible to customize them for fuzzy logic; in traditional logic, we obtain it through statistical methods. The values in Table 7 help us interpret the membership degrees of the indicator with respect to the objective established by the CAMEL model used.
By observing the descriptive ranges of the input variables, it is possible to identify that fuzzy logic differs from traditional logic, given that in fuzzy logic the rating frequency is not sequential, whereas the ranges in traditional logic possess a formal and uniform sequence. This is due to the fuzzy methodology utilized for this study, the information of which helps us in the interpretation and reading of the results obtained.
Delimitation of the extremes of the variables. The values in Table 7 show the membership degrees of the financial institution with what are the financial risk to the credit rating of both the traditional form and the fuzzy form. However, the fuzzy method grades the categories of the institutions with ranges that belong to two categories for their subsequent rating.
Unlike the traditional logic that contains sequential ranges for its categorization in one of the ranges, the fuzzy linguistic variables allow the decision maker to financkal with greater amplitude the category in which the indicator belongs to fisk a greater inclination, and the category in which the result belongs to with a lesser inclination Table 8.
Once the fuzzy variables have been structured, the operators to be worked with are selected to obtain the expected results as detailed in Table 9. Result from operating the input variables. Rsk input and output variables were entered into the environment whhat the program, as delimited in Table how to get hookups on bumble. Continuing with the methodology, once the fuzzification and defuzzification rules have been defined with at least two conditions intended to be verifieda graphic system is created for the output variable Figs.
Graphic representation of the input variable. Input variable: Reference subsets by indicator. Output variable: Subsets by credit rating. Source : Xfuzzy program. Graphic representation of the output variable. What are the financial risk results Xfuzzy 2D environment. Figure 7 what are the financial risk the environment of the program, where the different subsets created are visualized and, depending on the input value, makes it possible ars graphically visualize the set that belongs to the entered value and its membership percentage.
Finally, in this part of the process the values of each of the input variables can be changed, using the cursors for visualization in the output variable. Figure 8 visualizes the transition curve between the ranges of the formed variables, presenting a subtle curve. The result of the application of the fuzzy methodology is visualized through the colors or nuances what are the financial risk help identify the data entered and the membership levels between the proposed subsets.
As has been described in the literature, the cooperative what does pinche mean in spanish of Ecuador is comprised by five segments. For the application of the fuzzy methodology, a cooperative called Cooperativa Coprogreso from segment one was analyzed, as it had available information, with the following financial indicators: earnings, adequacy, available funds, and capital for the year With the identified data, the input operational variables were applied.
Table 10 presents the indicators that the SEPS control body in the country defines to qualify the ratings of each subset along with its respective evaluation, using three ranges, both for traditional logic and for fuzzy logic Table Interpretation of the results using traditional logic. The fuzzy methodology places the cooperative in two credit ratings, with 0. Interpretation of the result using fuzzy logic.
However, said score also grants a membership ris, of 0. The traditional financial analysis shows an interpretation and linear riek ranges through categories and statistical objectives established by the control body, which are pursued by its institutions in order to obtain the optimal categories that reflect their level or status in the market.