IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/113586.html
   My bibliography  Save this paper

Assessing the First Shocks of Covid-19 Pandemic on the Idiosyncratic Risk in the Brazilian and the Emerging Markets

Author

Listed:
  • Assis de Salles, Andre

Abstract

The Covid-19 Pandemic affects social and economic relations in all national economies and the world economy, and their financial markets. Investment and production financing in economies takes place through these markets, in particular in the capital market. The idiosyncratic risk represents the risk associated only with a specific productive project, with an economic sector, or with a specific national economy. This work aims to estimate the idiosyncratic risk of the Brazilian economy, through heteroscedastic conditional models, to verify the initial impact of the Covid-19 Pandemic on the risk associated with productive projects developed in the Brazilian and emerging economies, and to their financing and investments. Daily data in US$, covers the period from June 30, 2017 to July 1, 2020, were used.

Suggested Citation

  • Assis de Salles, Andre, 2021. "Assessing the First Shocks of Covid-19 Pandemic on the Idiosyncratic Risk in the Brazilian and the Emerging Markets," MPRA Paper 113586, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:113586
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/113586/1/MPRA_paper_113586.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Scholes, Myron & Williams, Joseph, 1977. "Estimating betas from nonsynchronous data," Journal of Financial Economics, Elsevier, vol. 5(3), pages 309-327, December.
    2. 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).
    3. 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.
    4. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    5. 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.
    6. 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.
    7. repec:aei:rpaper:1008560098 is not listed on IDEAS
    8. 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.
    9. 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.
    10. William F. Sharpe, 1963. "A Simplified Model for Portfolio Analysis," Management Science, INFORMS, vol. 9(2), pages 277-293, January.
    11. Landis MacKellar, 2007. "Pandemic Influenza: A Review," Population and Development Review, The Population Council, Inc., vol. 33(3), pages 429-451, September.
    12. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Andre Assis de Salles, 2023. "Assessing the First Shocks of the Covid-19 Pandemic on the Idiosyncratic Risk in the Brazilian and the Others Emerging Markets," Technium Business and Management, Technium Science, vol. 4(1), pages 1-9.
    3. Nicolau, Juan Luis & Sharma, Abhinav, 2022. "A review of research into drivers of firm value through event studies in tourism and hospitality: Launching the Annals of Tourism Research curated collection on drivers of firm value through event stu," Annals of Tourism Research, Elsevier, vol. 95(C).
    4. Ruili Sun & Tiefeng Ma & Shuangzhe Liu & Milind Sathye, 2019. "Improved Covariance Matrix Estimation for Portfolio Risk Measurement: A Review," JRFM, MDPI, vol. 12(1), pages 1-34, March.
    5. Bu, Ruijun & Fu, Xi & Jawadi, Fredj, 2019. "Does the volatility of volatility risk forecast future stock returns?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 16-36.
    6. Olbryś Joanna, 2012. "Arch Effects in Multifactor Market-Timing Models of Polish Mutual Funds," Folia Oeconomica Stetinensia, Sciendo, vol. 10(2), pages 60-80, January.
    7. Choi, Jaewon & Richardson, Matthew, 2016. "The volatility of a firm's assets and the leverage effect," Journal of Financial Economics, Elsevier, vol. 121(2), pages 254-277.
    8. Dimson, Elroy & Mussavian, Massoud, 1999. "Three centuries of asset pricing," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1745-1769, December.
    9. Corhay, A. & Rad, A. Tourani, 1996. "Conditional heteroskedasticity adjusted market model and an event study," The Quarterly Review of Economics and Finance, Elsevier, vol. 36(4), pages 529-538.
    10. Alagidede, Paul & Panagiotidis, Theodore, 2009. "Modelling stock returns in Africa's emerging equity markets," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 1-11, March.
    11. Andrea Bucci, 2020. "Realized Volatility Forecasting with Neural Networks," Journal of Financial Econometrics, Oxford University Press, vol. 18(3), pages 502-531.
    12. Ioannis D Vrontos & Loukia Meligkotsidou & Spyridon D Vrontos, 2011. "Performance evaluation of mutual fund investments: The impact of non-normality and time-varying volatility," Journal of Asset Management, Palgrave Macmillan, vol. 12(4), pages 292-307, September.
    13. Nicolau, Juan L., 2012. "The effect of winning the 2010 FIFA World Cup on the tourism market value: The Spanish case," Omega, Elsevier, vol. 40(5), pages 503-510.
    14. Zhao, Zifeng & Zhang, Zhengjun & Chen, Rong, 2018. "Modeling maxima with autoregressive conditional Fréchet model," Journal of Econometrics, Elsevier, vol. 207(2), pages 325-351.
    15. Kanungo, Rama Prasad, 2021. "Uncertainty of M&As under asymmetric estimation," Journal of Business Research, Elsevier, vol. 122(C), pages 774-793.
    16. David Daewhan Cho, 2004. "Uncertainty in Second Moments: Implications for Portfolio Allocation," Econometric Society 2004 Far Eastern Meetings 433, Econometric Society.
    17. Joanna Olbrys, 2011. "ARCH Effect in Classical Market-Timing Models with Lagged Market Variable: the Case of Polish Market," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 11, pages 185-202.
    18. Huerta, Daniel & Egly, Peter V. & Escobari, Diego, 2015. "The Liquidity Crisis, Investor Sentiment, and REIT Returns and Volatility," EconStor Preprints 123499, ZBW - Leibniz Information Centre for Economics.
    19. Takahashi, Hidenori & Yamada, Kazuo, 2021. "When the Japanese stock market meets COVID-19: Impact of ownership, China and US exposure, and ESG channels," International Review of Financial Analysis, Elsevier, vol. 74(C).
    20. Kim, Sang W. & Rogers, John H., 1995. "International stock price spillovers and market liberalization: Evidence from Korea, Japan, and the United States," Journal of Empirical Finance, Elsevier, vol. 2(2), pages 117-133, June.

    More about this item

    Keywords

    Covid-19 Pandemic; Idiosyncratic Risk; Brazilian Economy; Emerging Economies.;
    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
    • F65 - International Economics - - Economic Impacts of Globalization - - - Finance
    • G01 - Financial Economics - - General - - - Financial Crises
    • G1 - Financial Economics - - General Financial Markets
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • N2 - Economic History - - Financial Markets and Institutions

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:113586. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.