Ortiz Arango, Francisco

Main Affiliation

Facultad de Ciencias Económicas y Empresariales - CampCM

Preferred name

Official Name

Ortiz Arango, Francisco

ORCID

0000-0003-2707-4459

Researcher ID

ACO-1881-2022

Scopus Author ID

55601611100

Now showing 1 - 10 of 24

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Reconstructing household financial well-being; The case of Mexican households
(Universidad Nacional Autónoma de México, Facultad de Contaduría y Administración, 2025)
Dávila-Aragón, Griselda
;
Mopya Ponce, Claudine
;
Ortiz Arango, Francisco
Through the application of Bayesian Network methodology, this study delves into household financial well-being in Mexico over the 2018 – 2022 period. The foundational scenario involved vital variables such as poverty-induced vulnerability, household type, education of the household head, financial education, income source (i.e., formal or informal sector employment), financial asset management, and savings as the main variables influencing household financial well-being. Subsequently, each variable was extrapolated to measure its impact on the focal point of interest. Results show that income from informal sector employment, education of the household head, financial education, and savings emerge as statistically significant factors exerting the greatest influence on household financial well-being. Economic policy recommendations to address these influential factors are discussed. ©The authors © Universidad Nacional Autónoma de México, Facultad de Contaduría y Administración.
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Fronteras en economía financiera
(Universidad Panamericana, 2012)
Ortiz Arango, Francisco
;
López Herrera,Francisco
;
FRANCISCO ORTIZ ARANGO;350353
Esta investigación se basa en el empleo de algunas técnicas matemáticas empleadas en la mecánica cuántica, como la integral de trayectoria de Feynman, el principio de incertidumbre de Heisenberg o la teoría espectral, para poder plantear y resolver problemas como el cálculo del valor de opciones con doble barrera, opciones asiáticas o resolver problemas de valuación de tasas cortas de interés mediante modelos como el Vasicek.
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Transmisión de precios futuros de maíz del Chicago Board of Trade al mercado spot mexicano
(2017)
Ortiz Arango, Francisco
;
Montiel Guzmán, Alma Nelly
En México, el uso del programa de coberturas de la Agencia de Servicios a la Comercialización y Desarrollo de Mercados Agropecuarios (ASERCA) es un instrumento que ha sido utilizado por los productores de maíz (principalmente blanco) para la adquisición de productos derivados en el Chicago Board of Trade (CBOT), cuyo subyacente es el maíz amarillo calidad US#2. En un entorno de alta volatilidad en los precios del maíz, los precios del CBOT deberían ajustarse con los precios spot domésticos para incentivar a los productores mexicanos a participar en el programa, sin embargo, mediante un análisis de volatilidad estocástica multivariante durante el periodo de 2007 a 2012, se mostró que el precio de mercado de futuros de maíz no se encuentra fuertemente relacionado con los precios registrados en algunos estados del país, por lo que se puede inferir que la cobertura mediante el programa ASERCA no cumple adecuadamente con su propósito de proteger a los agricultores nacionales que siembran maíz blanco, a pesar de que su uso se ha incrementado.
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Leveraged exchange trated funds’s emerging markets: A practical application of statistical arbitrage based on cointegration
(2017)
Ortiz Arango, Francisco
;
Urrutia-Martínez, Daniel Ulises
;
Flores-Méndez, Alejandro
Pair Trading is a Neutral Market Strategy descendant of Statistical Arbitrage. Its objective is to identify pairs of assets whose historical prices or variations have high correlation between them. To attain this, pairs trading takes advantage of overvalued assets sales and purchases undervalued assets. To identify the goal pair, we performed back-testing using historical log returns (from December 31, 2008 through April 16, 2013). With the goal pair identified we run the daily strategy using historical adjusted at closed price data and historical log returns (from December 31, 2010 through September 11, 2015). Herein, we consider two inverse Exchange Trade Funds versus benchmark EEM (iShares MSCI Emerging Markets ETF) index. The objective of this work is to demonstrate that automated trading strategy built under the co-integration approach in moving windows of 60 and 180 days is able to beat a buy and hold strategy on the EEM benchmark. © 2017, ASERS Publishing House. All rights reserved.
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Project Valuation of a Distribution Centre of an Auxiliary Rail Freight Terminal: Using Real Options with Fuzzy Logic and Binomial Trees
(2016)
Cruz Aranda, Fernando
;
Ortiz Arango, Francisco
;
Cabrera Llanos, Agustín Ignacio
This paper presents the financial evaluation of the extension of an auxiliary rail freight terminal to integrate it to a logistics platform (LP). This investment phase is focused on building a distribution center (CEDI), as part of a comprehensive project of high commercial and strategic impact for Mexico. The project evaluation is done using binomial trees for the valuation of an American type real call option, incorporating the expected volatility over the expected cash flows, in order to determine the benefit of postponing the project three years. In addition, to complement this real option valuation, we incorporate the fuzzy logic theory in the process of assigning probabilities to the branches of tree. The value of the American type real call option to postpone the project three years is 30.37% of investment, while the value of real option, using fuzzy logic is 29.94% of investment, this is a better result. © 2016, ASERS Publishing House. All rights reserved.
35 2
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Transmission of future prices of corn of the Chicago Board of Trade to the Mexican spot market
(2017)
Ortiz Arango, Francisco
;
Montiel Guzmán, Alma Nelly
In Mexico, the use of the coverage program of the Bureau of Market Services and Agricultural Market Development (ASERCA for its acronym in Spanish) is a tool that has been used by corn producers (mainly for white corn) for the acquisition of derived products in the CBOT (Chicago Board of Trade), the underlying element of which is US#2 grade yellow corn. In a high volatility environment regarding the prices of corn, the prices of CBOT should be adjusted with the spot domestic prices to incentivize Mexican producers to participate in the program. However, through a multivariate stochastic volatility analysis during the period of 2007–2012, it was shown that the future price of corn is not strongly related to the prices registered in some states of the country, therefore, it can be inferred that the coverage through the ASERCA program does not properly comply with its objective of protecting the national farmers that grow white corn, despite the fact that its use has increased. © 2017 Universidad Nacional Autónoma de México, Facultad de Contaduría y Administración
Scopus© Citations 3 21 1
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Competition between agricultural foods and biofuels: Referees' response to "The nonlinear relation between biofuels and food prices"
(2017)
Venegas-Martínez, Francisco
;
Ortiz Arango, Francisco
The nonlinear relation between biofuels and food prices", written by Cruz Aké (2017), several issues were left out by the author: 1) a comparison of the paper's results with traditional non-linear econometric analysis, as Markov switching regime models; 2) a comparative analysis of the long-run relationship between biofuels (bioethanol and biodiesel) consumption and its demand determinants, namely, competitive goods, their prices, world's GDP (economic activity) and climate phenomena, and 3) an explanation for the volatility regarding non-linearities in the biofuels consumption and its determinants. Under this framework to complement Cruz Aké's (2017) work, we perform a traditional cointegration analysis to assess the impact of the long-run components of the biofuel demand. We find a significative statistical consistency in the three cointegration equations from a six-equation system. Moreover, we find two volatility regimes of the biofuel consumption, wich is also consistent with the empirical evidence from Cruz Aké's (2017) paper. Although Cruz Aké (2017) contributes to the current discussion on the subject matter, it remains to consider, more carefully, other essential issues that invitied us to a deeper academic debate: 1) the distribution of innovations that drives the biofuel consumption and its price may not be Student's t nor a Generalize Extreme Value (GEV) distribution; 2) the stochastic process that guides the biofuels consumption and its price may not be stable over time, and 3) the cointegration analysis may be done by assuming fractional cointegration. Finally, it is worth noticing that Cruz Aké's (2017) paper may be extended in different ways such as: 1) the long-run sustainability of the biofuels consumption; 2) the effect of the agricultural foods and fuel prices volatilities on the economic welfare, and 3) the effect of changes in agricultural foods and energy prices on poor people. Needless to say, all the above stated points encourage to a wider and deeper debate.
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Cálculo del Valor en Riesgo Operacional de una Empresa Aseguradora Mediante Redes Bayesianas
(2019)
Dávila-Aragón, Griselda
;
Ortiz Arango, Francisco
It was in the 1990’s when the concept of Operational Risk was defined, since then the institutions, especially those in the financial sector, are worried about this type of risk since their exposure could have fatal consequences. In case of the insurance sector its study originates due to the new European regulatory framework of Solvency II. The purpose of this research is the development of a methodology based on Bayesian networks to identify and measure operational risk in order to determine the solvency capital requirement in the online policy quotation process of an insurance company that recently entered into this way of operating. For this, a Bayesian network model was designed with a priori and a posteriori distributions that allowed estimating the frequency and severity of the losses, with the posteriori distributions, an estimate of the expected loss for a period of one year was made using Monte Carlo simulation.
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Impact of Mexico's energy reform on consumer welfare
(2021)
Ramírez, José Carlos
;
Ortiz Arango, Francisco
We study the impact of Mexico's energy reform on the welfare of electricity, liquified petroleum gas, and gasoline consumers between 2010 and 2018. We utilize micro-level data to estimate income and price elasticities. Comparative statics are used to determine subsidy and price influences on consumer surplus. A counterfactual is used to simulate the industry's behavior under non-reform parameters. Data cover ten income deciles and sociodemographic characteristics in the National Survey of Household Income and Expenditure. We conclude that consumers of energy goods in the post-reform experimental group (2014–2018) experienced a welfare gain compared to consumers in the control group (2010–2014) at the expense of alternative social costs related to energy subsidies.
Scopus© Citations 5 15 5
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Historical identification and forecast values of IBEX 35 & IPC financial indices using differential neural networks
(2012)
Ortiz Arango, Francisco
;
Cabrera Llanos, Agustín Ignacio
One of the main objectives of quantitative analysis in Finance is to be able to make accurate forecasts of prices and yields from financial assets, the question is to find reliable methods and techniques to perform properly such forecasts. In the early 1990 ́s while pursuing better results the use of artificial neural networks (ANN) started, this technique was only used as a tool of monitoring and description of values, but later it evolved into a way of forecasting the behavior of economic and financial variables, achieving promising results. In this paper we present one of the first applications in finance of the Differential Neural Networks (DNN), we use that to carry out two processes: the description of daily closing values of financial index IBEX 35 (Madrid Stock Exchange) and the IPC index (Mexican Stock Exchange), both from January 3, 2000 to January 20, 2012. Later, we perform the forecast of daily closing values of these indices from January 23 to February 17, 2012. The results obtained in the description and forecast of the closing values of both indices were excellent, which makes it extremely attractive to continue the study of this methodology to carry out these forecasts.
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Ortiz Arango, Francisco

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