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COVID-19 Pandemic Initial Effects on the Idiosyncratic Risk in Latin America

Author

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  • Andre Assis de Salles

    (Federal University of Rio de Janeiro, Brasil)

Abstract

Este trabajo tiene como objetivo estimar el riesgo idiosincrásico de las economías latinoamericanas y las economías emergentes utilizando modelos condicionales heterocedásticos para verificar el impacto de la pandemia Covid-19 sobre el riesgo asociado a los proyectos productivos. La metodología utilizada se basa en la teoría de la cartera para estimar el riesgo idiosincrásico. Los resultados destacan que las economías latinoamericanas son más susceptibles a crisis sanitarias que las economías emergentes. La incapacidad de los países emergentes para generar los ahorros necesarios para su desarrollo, impone la necesidad de atraer recursos para la financiación e inversión de proyectos. Así, determinar el riesgo específico de los países latinoamericanos es fundamental para los inversores internacionales dándoles un parámetro más a la hora de decidir sobre inversián o financiación en el continente. De manera original, este trabajo demuestra cómo la crisis derivada de la pandemia Covid-19 afectó el riesgo idiosincrásico o especéfico de las economías latinoamericanas utilizando sus indicadores del mercado de capitales. Este estudio contribuye a la evaluación del riesgo específico o riesgo país de las economías latinoamericanas al inicio de la pandemia.

Suggested Citation

  • Andre Assis de Salles, 2021. "COVID-19 Pandemic Initial Effects on the Idiosyncratic Risk in Latin America," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(3), pages 1-21, Julio - S.
  • Handle: RePEc:imx:journl:v:16:y:2021:i:3:a:5
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    References listed on IDEAS

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    1. Scholes, Myron & Williams, Joseph, 1977. "Estimating betas from nonsynchronous data," Journal of Financial Economics, Elsevier, vol. 5(3), pages 309-327, December.
    2. William F. Sharpe, 1963. "A Simplified Model for Portfolio Analysis," Management Science, INFORMS, vol. 9(2), pages 277-293, January.
    3. Shi, Huai-Long & Zhou, Wei-Xing, 2021. "Horse race of weekly idiosyncratic momentum strategies with respect to various risk metrics: Evidence from the Chinese stock market," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    4. Rosenberg, Barr & McKibben, Walt, 1973. "The Prediction of Systematic and Specific Risk in Common Stocks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 8(2), pages 317-333, March.
    5. Akhtaruzzaman, Md & Boubaker, Sabri & Chiah, Mardy & Zhong, Angel, 2021. "COVID−19 and oil price risk exposure," Finance Research Letters, Elsevier, vol. 42(C).
    6. Landis MacKellar, 2007. "Pandemic Influenza: A Review," Population and Development Review, The Population Council, Inc., vol. 33(3), pages 429-451, September.
    7. Andrew Atkeson, 2020. "What Will be the Economic Impact of COVID-19 in the US? Rough Estimates of Disease Scenarios," Staff Report 595, Federal Reserve Bank of Minneapolis.
    8. Blitz, David & Hanauer, Matthias X. & Vidojevic, Milan, 2020. "The idiosyncratic momentum anomaly," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 932-957.
    9. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    10. Warwick McKibbin & Roshen Fernando, 2021. "The Global Macroeconomic Impacts of COVID-19: Seven Scenarios," Asian Economic Papers, MIT Press, vol. 20(2), pages 1-30, Summer.
    11. Sanjay Kalra, 2008. "Global Volatility and Forex Returns in East Asia," IMF Working Papers 2008/208, International Monetary Fund.
    12. Robert J. Barro & José F. Ursua & Joanna Weng, 2020. "The Coronavirus and the Great Influenza Epidemic - Lessons from the "Spanish Flu" for the Coronavirus's Potential Effects on Mortality and Economic Activity," CESifo Working Paper Series 8166, CESifo.
    13. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    14. Angelidis, Timotheos & Tessaromatis, Nikolaos, 2008. "Idiosyncratic volatility and equity returns: UK evidence," International Review of Financial Analysis, Elsevier, vol. 17(3), pages 539-556, June.
    15. repec:aei:rpaper:1008560098 is not listed on IDEAS
    16. Fu, Fangjian, 2009. "Idiosyncratic risk and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 91(1), pages 24-37, January.
    17. Chang, Rosita P. & Ko, Kuan-Cheng & Nakano, Shinji & Ghon Rhee, S., 2018. "Residual momentum in Japan," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 283-299.
    18. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    More about this item

    Keywords

    Covid-19 Pandemic; Idiosyncratic Risk; Latin American Economy;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • G01 - Financial Economics - - General - - - Financial Crises
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • N26 - Economic History - - Financial Markets and Institutions - - - Latin America; Caribbean

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