Riesgo de mercado y rentabilidad mínima esperada del sector de fabricación de sustancias y productos químicos: Período 2011 – 2020

Main Article Content

Luis Tonon-Ordóñez
Estefanía Cevallos-Rodríguez
Luis Pinos-Luzuriaga
Iván Orellana-Osorio

Abstract

Risk and profitability are two interdependent aspects in business activity: a certain level of risk must be assumed to achieve greater profitability. The Capital Asset Pricing Model (CAPM) is one of the most widely used models in practice to determine the required return on an investment in a financial asset based on the risk assumed. There are various models and statistical tools that seek to predict financial risk. In the present research work, the market risk and expected minimum return in the chemical substance and product manufacturing sector (CIIU C20) were determined through accounting information. The data was obtained from the Superintendency, Securities and Insurance and corresponded to the period 2011-2020, and the results were analyzed in periods of 5 years, in order to know the variations that occur between the different periods. For the analysis of this sector 3.756 observations (376 companies per year on average) were considered in the period. In addition, a total of 513.895 observations were considered as a market. In the CAPM, the passive rate of the Central Bank of Ecuador was considered as the risk-free rate. In addition, for market performance, an adjusted ROE was calculated for all companies in the corporate sector in Ecuador. The unlevered and levered Beta coefficient obtained in the 5 periods analyzed is greater than 1, that is, it is considered a risky sector. The minimum expected yield of the sector fell from 12,15% in the 2011-2015 period to 4,98% in the 2016-2020 period. The results indicate that the results indicate that chemical substance and product manufacturing sector has a better performance than the market as a whole, since it has a higher performance than required. Considering the high level of uncertainty that currently exists, determining market risk is an important tool to support entrepreneurs and other stakeholders in making decisions. 

Downloads

Download data is not yet available.

Article Details

How to Cite
Tonon-Ordóñez, L., Cevallos-Rodríguez, E., Pinos-Luzuriaga, L., & Orellana-Osorio, I. (2022). Riesgo de mercado y rentabilidad mínima esperada del sector de fabricación de sustancias y productos químicos: Período 2011 – 2020. INNOVA Reseach Journal, 7(3.1), 26–37. https://doi.org/10.33890/innova.v7.n3.1.2022.2125
Section
Business and Innovation
Author Biographies

Luis Tonon-Ordóñez, Universidad del Azuay, Ecuador

Luis Tonon Ordóñez, ecuatoriano, Magíster en Administración de Empresas. Economista. Diplomado Superior en Finanzas, Mercado de Valores y Negocios Fiduciarios. Diplomado Superior en Negociación Internacional, títulos obtenidos en la Universidad del Azuay, catedrático desde 2003 en la Universidad del Azuay en las áreas de Economía y Finanzas. Ha participado en diversos grupos de investigación y actualmente es parte del Observatorio Empresarial de la Universidad. Línea de investigación: empresa e innovación, sublínea entorno empresarial, económico y/o social https://scholar.google.com/citations?hl=en&user=LBaWst0AAAAJ

Estefanía Cevallos-Rodríguez, Universidad del Azuay, Ecuador

Estefanía Cevallos Rodríguez, ecuatoriana, Magíster en Ciencias de Manejo de Recursos en la Universidad de Cuenca. Bióloga, título obtenido en la Universidad del Azuay. En la Academia ha cumplido labores de docente de las cátedras de auditoría ambiental, evaluación de impactos ambientales, sostenibilidad ambiental empresarial, y economía ecológica y desarrollo sustentable en la Facultad de Ciencias de la Administración de la Universidad del Azuay, docente desde el 2013 y en los últimos 5 años ha estado vinculada al Observatorio Empresarial de la misma universidad desempeñando labores de gestión de la información y redacción de artículos científicos y documentos de divulgación de conocimientos. Línea de investigación: empresa e innovación, sublínea entorno empresarial, económico y/o social. https://scholar.google.com/citations?hl=en&user=yI1aEJ8AAAAJ

Luis Pinos-Luzuriaga, Universidad del Azuay, Ecuador

Luis Pinos Luzuriaga, ecuatoriano, Magíster en Seguros y Riesgos Financieros. Economista, título obtenido en la Universidad y de Cuenca. En el campo académico ha cumplido labores de docente en cátedras de Estadística, Econometría, Cálculo actuarial y Administración de riesgos financieros en cursos de pregrado y postgrado de la Universidad del Azuay y la Universidad de Cuenca. En los últimos años se ha vinculado a grupos de investigación en la Universidad del Azuay desempeñando labores de soporte en el área cuantitativa líneas de investigación. Línea de investigación: empresa e innovación, sublínea entorno empresarial, económico y/o social. https://scholar.google.com/citations?hl=en&user=a25i9u8AAAAJ

Iván Orellana-Osorio, Universidad del Azuay, Ecuador

Iván Orellana Osorio, ecuatoriano, Magíster en Administración de Empresas en la Universidad del Azuay, además, es graduado del Programa de Alta Gerencia del INCAE, y está cursando el Programa de Doctorado en Administración en la Universidad Nacional de Rosario en Argentina, es contador Público e Ingeniero Comercial de la Universidad del Azuay. Es Especialista en Docencia Universitaria. Docente desde el 2006 de pregrado y posgrado en las cátedras de gerencia, proyectos y finanzas en la Universidad del Azuay y la Universidad de Cuenca. Línea de investigación: empresa e innovación, sublínea entorno empresarial, económico y/o social. https://scholar.google.com/citations?hl=en&user=SclozigAAAAJ

References

Al-Nassar, N. S., & Makram, B. (2022). The COVID-19 outbreak and risk–return spillovers between main and SME stock markets in the MENA region. International Journal of Financial Studies, 10(1). https://doi.org/10.3390/IJFS10010006

Álvarez García, R. D., Ortega Oliveros, G. A., Sánchez Ospina, A. M., y Herrera Madrid, M. (2004). Evolución de la teoría económica de las finanzas: una breve revisión. Semestre Económico, 7(14), 105–127. https://bit.ly/3D4pIwY

Apergis, N., & Rehman, M. U. (2018). Is CAPM a behavioral model? Estimating sentiments from rationalism. Journal of Behavioral Finance, 19(4), 442–449. https://doi.org/10.1080/15427560.2018.1431885

Central bank of Ecuador. (2021). Statistics . https://www.bce.fin.ec/

Binz, T. (2020). How do firm and market characteristics affect airports' Beta risk? Competition and Regulation in Network Industries, 21(3), 297–312. https://doi.org/10.1177/1783591720941678

Botello, H., & Guerrero, I. (2021). CAPM model to assess the risk of investors based on accounting information before and after IFRS in Colombian banks. Latticework, 17(1), 122–135. https://bit.ly/3MFBKA1

Breeden, D. T, Gibbons, M. R, & Litzenberger, R. H (1989). Empirical tests of the consumption-oriented. The Journal of Business, 44(2), 231–262. https://doi.org/10.1111/j.1540-6261.1989.tb05056.x

Brenes, H. (2019). The beta coefficient (β) as a measure of systematic risk: A demonstration that the value of the systematic risk of the market is equal to one. REICE: Electronic Journal of Research In Economic Sciences, 6(12), 1–20. https://doi.org/10.5377/reice.v6i12.7473

Cartes, F.H.H. (2012). Empirical contrast of the CAPM in the Chilean stock market. Ingeniare: Chilean Journal of Engineering, 20(2), 255–266. http://dx.doi.org/10.4067/S0718-33052012000200012

Cenesizoglu, T., & Reeves, J. J. (2018). CAPM, components of beta and the cross section of expected returns. Journal of Empirical Finance, 49, 223–246. https://doi.org/10.1016/j.jempfin.2018.10.002

Chang, A., & Galindo, H. (2018). (C)CAPM vs CAPM: Which model best reflects the performance of stocks in emerging markets? IECOS Magazine, 19, 19-35. https://doi.org/10.21754/iecos.v19i0.1164

Firacative, E. F. (2015). Aplicación del modelo CAPM para la valoración de acciones en el mercado integrado latinoamericano MILA. [Tesis de Maestría, Universidad Nacional de Colombia]. http://www.bdigital.unal.edu.co/46708/

Grant, A., Johnstone, D., & Kwon, O. K. (2021). How an idiosyncratic (zero-beta) risk can greatly increase the firm’s cost of capital. Australian Journal of Management, 47(4). https://bit.ly/3DemM1b

Lintner, J. (1965). The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets: a reply. The review of Economics and Statistics, 51(2), 222-224. https://doi.org/10.2307/1926735

Martinez, C. E., Ledesma, J. S., & Russo, A. O. (2014). Calculating beta models to apply in Capital asset pricing model: the case of Argentina. Managerial Studies, 30(131), 200–208. https://doi.org/10.1016/j.estger.2014.03.002

Mejia, S., Arias, A., Felipe, J., Villegas, F., & Alberto, J. (2005). Evaluation of financial risks in the Colombian electricity market. Scientia Et Technica, 27, 162–168.

Mossin, J. (1966). Equilibrium in a Capital Asset Market. The Econometric Society, 34(4), 768–783. https://doi.org/http://dx.doi.org/10.2307/1910098

Pereiro, L. (2010). The beta dilemma in emerging markets. Journal of Applied Corporate Finance, 22 , 110–113. https://doi.org/10.1111/j.1745-6622.2010.00307.x

Pinos, L., Reyes, M., Tonon, L., & Orellana, I. (2021). Application of the CAPM model to the manufacturing sector of other non-metallic mineral products in Ecuador: period 2009 -2019. INNOVA Research Journal, 6(3.1), 131–150. https://doi.org/10.33890/innova.v6.n3.1.2021.1806

Poquechoque, L. (2020). Beta coefficient calculation estimate for companies listed on the Bolivian Stock Exchange. Perspectives Magazine, 45, 61–84.

Ramirez, A., & Serna, M. (2012). Empirical validation of the CAPM model for Colombia 2003-2010. Echoes of Economics, 16(34), 49–74. https://doi.org/10.17230/ecos.2012.34.3

Sandoval, E., Vasquez, A., & Sabat, R. (2015). Integration of the stock markets of Chile, Colombia and Peru in the Latin American integrated market (MILA). Innovate, 25 (1Spe), 71–84. http://dx.doi.org/10.15446/innovar.v25n1spe.53195

Santos, L., Fischberg, F., Cyrino, F., & Munoz, C. (2019). Conditional pricing model with heteroscedasticity: Evaluation of Brazilian funds. RAE Magazine of Business Administration, 59(4), 225–241. https://doi.org/10.1590/S0034-759020190402

Sharpe, W. (1964). Capital asset prices: a theory of market equilibrium under conditions of risk. The Journal of Finance, 19(3), 425–442. https://doi.org/10.1111/j.1540-6261.1964.tb02865.x

Solomon, D. C., & Muntean, M. (2012). Assessment of financial risk in firm’s profitability analysis. Economy Transdisciplinarity Cognition, 15(2), 58–67.

Superintendency of Companies, Securities and Insurance (2021). Información portal. https://www.supercias.gob.ec/portalscvs/

Tamara, A., Chica, I., & Montiel, A. (2017). Beta calculation methodology: Beta of assets, leveraged beta and beta corrected for cash. Spaces, 38(34), 15.

Valverde, J., & Caicedo, F. (2020). Calculation of the betas of the capital asset pricing model as an indicator of profitability of companies linked to the ecuadorian stock exchange. Science and Technology University, 24(107), 79–87. https://doi.org/10.47460/uct.v24i107.417

Vendrame, V., Guermat, C., & Tucker, J. (2018). A conditional regime switching CAPM. International Review of Financial Analysis, 56, 1–11. https://doi.org/10.1016/j.irfa.2017.12.001

Villagomez, B. (2014). The risk measured through the CAPM model adjusted for emerging markets. Economics and Business, 5(1), 70.

Vitoria, R., Bressan, A. A, & Iquiapaza, R. A. (2020). Do state-owned enterprises in Brazil require a risk premium factor? Brazilian Business Review, 17(5), 488–505. https://doi.org/10.15728/bbr.2020.17.5.1

Wong, D., & Chirinos, M. (2016). Do the models based on the CAPM adequately value family businesses? Innovate, 26(61), 65–81. https://doi.org/10.15446/innovar.v26n61.57167