Riesgo financiero para las empresas listadas en la bolsa de valores de lima entre 2016 y 2018 / Financial risk for companies listed on thelima stock exchange between 2016 and 2018

Jairo Toro Díaz, Jairo Giraldo Hoyos

Resumo


El riesgo financiero se evaluó mediante un modelo probabilístico, con base en los riesgos de liquidez, deuda y cartera de las empresas que cotizan en la Bolsa de Valores de Lima, y que reportaron los estados financieros a la Superintendencia de Bolsa de Valores (SMV), para los años 2016, 2017 y 2018. Dicho análisis de riesgo se realizó en términos de la variable “dummy”, para 174 empresas peruanas. Posteriormente, se aplicó el modelo LOGIT, junto con pruebas e hipótesis econométricas específicas, para evaluar la consistencia y confiabilidad del modelo.

Se determinó que el año que presentó mayor riesgo financiero fue 2017, siendo el sector terciario el que presenta mayores tasas de riesgo. De las 174 empresas observadas, más del 80% de las mismas presentó riesgo de recuperación de cartera, como riesgo de mayor frecuencia, para los tres años, seguido por el del sector de observación.


Palavras-chave


riesgo financiero, riesgo de recuperación de cartera, riesgo de liquidez, riesgo de endeudamiento.

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Referências


Acharya, V. V., & Richardson, M. (2009). Causes of the Financial Crisis. A Journal of Politics and Society, 21(2), 195-210.

Adrian, T., & Brunnermeier, M. K. (2010). CoVaR. Federal Reserve Bank of New York Staff Reports, (348).

Akinmade, B., Adedoyin, F., & Bekun, F. V. (2020). The impact of stock market manipulation on Nigeria’s economic performance. Journal of Economic Structures, 9(1).

Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. Journal of Finance, 23, 589-609.

Anginer, D., Demirguc-Kunt, A., & Zhu, M. (2014). How does deposit insurance affect bank risk? Evidence from the recent crisis. Journal of Banking & Finance, 48, 312-321.

Arribas Barreas, V., Josa, E., Bravo Duran, S., Garcia Hiljding, I., & San Miguel Aguirre, P. (2016). El sector de la moda en España: retos y desadios. Observatorio de la moda española.

Banco Mundial. (9 de abril de 2019). Banco Mundial. Obtenido de https://www.bancomundial.org/es/country/peru/overview

Battaglia, F., & Gallo, A. (2013). Securitization and systemic risk: An empirical investigation on Italian banks over the financial crisis. International Review of Financial Analysis, 30, 274-286.

Battiston, S., Gatti, D., Gallegati, M., Greenwald, B., & Stiglitz, J. (2012a). Default cascades: when does risk diversification increase stability? Journal of Financial Stability, (3), 138-149.

Bolsa de Valores de Lima. (31 de marzo de 2017). BVL. Obtenido de https://www.bvl.com.pe/mila/

Caccioli, F., & Vivo, M. M. (2009). Eroding market stability by proliferation of financial instruments. The European Physical Journal, 71, 467-479.

Cai, Y., Tao, Y., & Yan, Z. (2020). Stock market trading volumes and economic uncertainty dependence: before and during Sino-U.S. trade friction. Economic Research-Ekonomska Istrazivanja, 33(1), 1711-1728.

Carbo-Valverde, S., Degryse, H., & Rodríguez-Fernández, F. (2015). The impact of securitization on credit rationing: empirical evidence. Journal of Financial Stability, 20, 36-50.

Castañeda, C. P. (2019). Informe Economico. La Camara, 6, 7, 8.

Chia, R.-J., . Liew, V.-S., & Rowland, R. (2020). Daily new COVID-19 cases, the movement control order, and Malaysian stock market. International Journal of Business and Society, 21(2), 553-568.

Dang, H. T., Phan, D. T., Nguyen, H. T., & Thi Hoang, L. H. (2020). Factors affecting financial risk: Evidence from listed enterprises in Vietnam. Journal of Asian Finance, Economics and Business, 7(9), 11-18.

Díez de Castro, L., & Mascareñas, J. (1994). Ingeniería financiera: la gestión en los mercados financieros internacionales. Madrid: McGraw-Hill.

García, F., Albarracin, M., & García, C. (Diciembre de 2017). Riesgo financiero: Una aproximación cualitativa al interior de las mipymes en Colombia. Obtenido de ResearchGate: https://www.researchgate.net/publication/322754180_Riesgo_financiero_una_aproximacion_cualitativa_al_interior_de_las_mipymes_en_Colombia

Ghosh, A. (2016). How does banking sector globalization affect banking crisis? Journal of Financial Stability, 25, 70-82.

Glasserman, P., & Young, H. (2014). How likely is contagion in financial networks? Journal of Banking & Finance, 50, 383-399.

Helseth, M. A., Krakstad, S. O., Molnár, P., & Norlin, K.-M. (2020). Can policy and financial risk predict stock markets? Journal of Economic Behavior and Organization, 176, 701-719.

Hu, G., Pan, J., & Wang, J. (2013). Noise as information for illiquidity. The Journal of Finance, 68(6), 2341-2382.

Huang, X., Zhou, H., & Zhu, H. (2009). A framework for assessing the systemic risk of major financial institutions. Journal of Banking & Finance, 33(11), 2036-2049.

Jiang, Y., Zheng, L., & Wang, J. (2020). Research on external financial risk measurement of China real estate. International Journal of Finance and Economics.

Kirikkaleli, D. (2020). The effect of domestic and foreign risks on an emerging stock market: A time series analysis. North American Journal of Economics and Finance, 51.

Lee, J. (2020). CSR impact on the firm market value: Evidence from tour and travel companies listed on chinese stock markets. Journal of Asian Finance, Economics and Business, 7 (7), 159-167.

Li, S., Wang, M., & He, J. (2013). Prediction of banking systemic risk based on support vector machine. Mathematical Problems in Engineering.

Mascareñas, J. (enero de 2008). Riesgo Economico y Financiero. Monografias sobre Finanzas Corporativas. Universidad Complutense de Madrid. p. 6,7. Obtenido de http://www.gacetafinanciera.com/REF.pdf

Mashalaba, Q., & Huang, C.-K. (2020). Aggregational effects in extreme value and generalized hyperbolic models for value-at-risk estimation: Evidence from the NYSE, FTSE, KRX AND TWSE. Journal for Studies in Economics and Econometrics, 44(1), 45-71.

Miller, M. and Myron S. (1972). “Rates of Return in Relation to Risk: A Reexamination of Some Recent Findings,” in Studies in the Theory of Capital Markets. Michael C. Jensen, ed. New York: Praeger, pp. 47–78

Mroua, M., & Trabelsi, L. (2020). Causality and dynamic relationships between exchange rate and stock market indices in BRICS countries: Panel/GMM and ARDL analyses. Journal of Economics, Finance and Administrative Science, 25(50), 395-412.

Muktadir-Al-Mukit, D. (2020). Do sociodemographic factors have influence on risk tolerance level of stock market investors? An analysis from a developing country perspective. South Asian Journal of Business Studies.

Nicolò, G., & Juvenal, L. (2014). Financial integration, globalization, and real activity. Journal of Financial Stability, 65-75.

Ocon Galilea, F. J. (2013). La crisis económica española a partir del 2007. Universidad de la Rioja.

Oconitrillo B., R. (2009). Gestión de riesgo de liquidez para cooperativas de ahorro y crédito. COLAC-FEDPA. Panamá. 2009. En http://www.colac.com/documentos/fedpa/RodolfoOconitrilloRiesgodeLiquidez.pdf. Ciudad de Panamá, Pananá.

Patro, D., Qi, M., & Sun, X. (2013). A simple indicator of systemic risk. Journal of Financial Stability, 9(1), 105-116.

Peña, A. M. (24 de Octubre de 2012). Análisis de la rentabilidad-riesgo de acciones que cotizan en la bolsa de valores de colombia para el periodo 2002-2008. Obtenido de Trabajo de Grado para Optar al Título de Economista: http://bibliotecadigital.univalle.edu.co/bitstream/10893/3695/4/CB-0449785.pdf

Segoviano, M., & Goodhart, C. (2009). Banking stability measures. IMF Working Paper, 9, 1-54.

So, M. K., Chan, T. W., & Chu, A. M. (2020). Efficient estimation of high-dimensional dynamic covariance by risk factor mapping: Applications for financial risk management. Journal of Econometrics.

Superintendencia del mercado de valores . (31 de Marzo de 2017). SMV. Obtenido de http://www.smv.gob.pe/

Toro, J., & Palomo, R. (2014). Análisis del riesgo financiero en las PYMES – estudio de caso aplicado a la ciudad de Manizales. Obtenido de ResearchGate: https://www.researchgate.net/publication/311484587_Analisis_del_riesgo_financiero_en_las_PYMES_-_estudio_de_caso_aplicado_a_la_ciudad_de_Manizales

Toro, J., Zuluaga, P., & Serna, A. M. (1 de Junio de 2017). Journal of Finance and Bank Management. Obtenido de http://jfbmnet.com/journals/jfbm/Vol_5_No_1_June_2017/1.pdf

Tudela, M. y Young, G. (2005). " Un enfoque modelo Merton para evaluar el riesgo de incumplimiento de las empresas públicas del Reino Unido ", Revista Internacional de Finanzas Teóricas y Aplicadas (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 8 (06), páginas 737-761. Disponible en https://www.worldscientific.com/doi/abs/10.1142/S0219024905003256

Vallascas, F., & Keasey, K. (2012). Bank resilience to systemic shocks and the stability of banking systems: small is beautiful. Journal of International Money and Finance, 31 (6), 1745-1776.

Vasileiou, E., & Pantos, T. (2020). What do the value-at-risk measure and the respective legislative framework really offer to financial stability? Critical views and pro-cyclicality. European Journal of Economics and Economic Policies: Intervention, 17(1), 39-60.

Vimrová, H. (2015). Financial analysis tools, from traditional indicators through contemporary instruments to complex performance measurement and management systems in the czech business practice. Procedia Economics and Finance, 25, 166-175. Recuperado el 2019, de http://isiarticles.com/bundles/Article/pre/pdf/51210.pdf

Vimrová, H. (2015). Financial analysis tools, from traditional indicators through contemporary instruments to complex performance measurement and management systems in the czech business practice. Procedia Economics and Finance, 25, 166-175.

Xu, Q., Chen, L., Jiang, C., & Yu, K. (2020). Mixed data sampling expectile regression with applications to measuring financial risk. Economic Modelling, 91, 469-486.

Zhang, W., Zhuang, X., & Lu, Y. (2020). Spatial spillover effects and risk contagion around G20 stock markets based on volatility network. North American Journal of Economics and Finance, 51.

Zhao, Z. (2020). Dynamic Bivariate Peak Over Threshold Model for Joint Tail Risk Dynamics of Financial Markets. Journal of Business and Economic Statistics.

Zhao, Z., Wen, H., & Li, K. (2021). Identifying bubbles and the contagion effect between oil and stock markets: New evidence from China. Economic Modelling, 94, 780-788.

Zheng, Z., Podobnik, B., Feng, L., & Li, B. (2012). Changes in cross-correlations as an indicator for systemic risk. Scientific Reports, 2.




DOI: https://doi.org/10.34140/bjbv3n3-015

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