Información asimétrica y precios diarios de acciones en Brasil

  • Denis Ichimura Graduate, Program in Management, Universidade Ibirapuera, São Paulo, Brazil.
  • Raphael Videira Professor, School of International Affairs, ESPM, Sao Paulo, Brazil.
  • Alexandre Ripamonti University IbirapuerFull Professor, Graduate Program in Management, Universidade Ibirapuera, São Paulo, Brazil. Professor, School of Advertising, ESPM, São Paulo, Brazila
Palabras clave: precios de las acciones, informacion asimetrica, estimador Corwin-Schultz


Este trabajo tuvo como objetivo analizar la asociación entre información asimétrica, medida a través del estimador Corwin-Schultz, y las cotizaciones bursátiles en el mercado de valores brasileño. Los datos diarios de 64 empresas, en un período de 10 diez años, se examinaron utilizando la técnica de cointegración de panel de Johansen-Fisher para evaluar la validez de una medida de información asimétrica en períodos más cortos que los estudios anteriores. Los resultados indican que la información asimétrica anticipa los precios de las acciones en un período de hasta dos días, de una manera teóricamente consistente. Las investigaciones futuras deberían controlar los resultados mediante variables financieras tradicionales.


La descarga de datos todavía no está disponible.


Akerlof, G. (1970). The market for "lemons": quality uncertainty and the market mechanism. The Quarterly Journal of Economics, 84(3), 488-500.

Al-Awadhi, A., & Alhasel, B. (2020). Liquidity and retail traders: the case of Saudi Stock Exchange. Applied economics letters, 27(12), 1033-1037.

Amihud, Y., & Mendelson, H. (1986). Asset pricing and the bid-ask spread. Journal of Financial Economics, 17, 223-249.

Bai, M., Li, X., & Qin, Y. (2017). Shortability and asset pricing model: Evidence from the Hong Kong stock market. Journal of Banking and Finance, 85, 15-29.

Bohmann, M., Michayluk, D., Patel, V., & Walsh, K. (2019). Liquidity and earnings in event studies: Does data granularity. Pacific-Basin Finance Journal, 54, 118-131.

Buckley, W. S., & Long, H. (2015). A discontinuous mispricing model under asymmetric information. European Journal of Operational Research, 243, 944-955.

Chaudhuri, S. (1991). Short-run share price behaviour: New evidence on weak form of market efficiency. Global Business Review, 16(4), 17-21.

Chen, A., Zimmermann, T., & Pontiff, J. (2020). Publication bias and the cross-section of stock returns. The Review of Asset Pricing Studies, 10(2), 249-289.

Corwin, S., & Schultz, P. (2012). A simple way to estimate bid and ask spreads from daily high and low prices. The Journal of Finance, 67(2), 719-759.

Diamond, S., & Kuan, J. (2018). Are the stock markets "rigged"? An empirical analysis of regulatory change. International Review of Law Nand Economics, 55, 33-40. 0144-8188

Docherty, P., Chan, H., & Easton, S. (2013). Can we treat empirical regularities as state variables in the ICAPM? Evidence from Australia. Pacific-Basin Finance Journal, 22(1), 107-124.

Duarte, J., Hu, E., & Young, L. (2017). Does the PIN model mis-identify private information and if so, what is the alternative? Working paper.

Easley, D., Hvidkjaer, S., & O/Hara, M. (2002). Is information risk a determinant of asset returns? The Journal of Finance, 57(5), 2185- 2221.

Engle, R., & Granger, C. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica, 55(2), 251-276.

Fama, E. (1991). Efficient capital markets: II. The Journal of Finance, 46(5), 1575-1617.

Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1), 3-56.

Fama, E. F., & French, R. K. (2017). International tests of a five-factor asset pricing model. Journal of Financial Economics, 123(3), 441-463.

Funaoka, K., & Nishimura, Y. (2019). Private information, investor sentiment, and IPO Pricing: Which institutional inverstors are better informed. Emerging Markets Finance & Trade, 55(8), 1722-1736.

Gu, L., Wang, Y., Yao, W., & Zhang, Y. (2018). Stock liquidity and corporate diversification: Evidence from China’s split share structure reform. Journal of Empirical Finance, 49(C), 57-80.

Hao, W., Prevost, A., & Wongchoti, U. (2018). Are low equity R2 firms more or less transparent? Evidence from the corporate bond market. Financial Management, 47(4), 865-909.

Hasbrouck, J. (1991). Measuring the information content of stock trades. The Journal of Finance, 46(1), 179-207.

Hasbrouck, J. (2007). Empirical market microstructure: the institutions, economics, and econometrics of securities trading. New York: Oxford University Press.

Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economics Dynamics and Control, 12(2-3), 231-254.

Johansen, S. (1991). Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models. Econometrica, 59(6), 1551-1580.

Kelly, B., & Ljungqvist, A. (2012). Testing Asymmetric-Information Asset Pricing Models. The Review of Financial Studies, 25(5), 1366-1413.

Larsson, R., Lyhagen, J., & Lothgren, M. (2001). Likelihood based cointegration tests in heterogeneous panels. Econometrics Journal, 4(2), 109-142.

Levi, S., & Zhang, X. (2015). Do temporary increases in information asymmetry affect the cost of equity? Management Science, 61(2), 354- 371.

Lin Peng, J., Schwartz, R., & Alan, N. (2020). Resiliency and stock returns. The Review of Financial Studies, 33(2), 747-782.

Liu, H., & Wang, Y. (2016). Market Making with asymmetric information and inventory risk. Journal of Economic Theory, 163, 73-109.

Marozva, G. (2019). Liquidity and stock returns: New evidence from Johannesburg Stock Exchange. The Journal of Developing Areas, 53(2), 79-90.

Matanova, N., Steigner, T., Yi, B., & Zheng, Q. (2019). Going concern opinions and IPO pricing accuracy. Review of Quantitative Finance and Accounting, 53(1), 195-238.

Merton, R. C. (1973). An Inter-Temporal Capital Asset Pricing Model. Econometrica, 41(5), 867-887.

Michaelides, A., Milidonis, A., & Nishiotis, G. P. (2019). Private information in currency markets. Journal of Financial Economics, 131, 643-665.

Modigliani, F., & Miller, M. H. (1958). The Cost of Capital, Corporation Finance and the Theory of Investment. American Economic Review, 48(3), 261-297.

Muth, J. (1961). Rational expectations and the theory of price movements. Econometrica, 29(3), 315-335.

Myers, S. C., & Majluf, N. S. (1984). Corporate financing and investment decisions when firms have information the investors do not have. Journal of Financial Economics, 13(2), 187-221.

Pan, A., & Misra, A. (2020). Assessment of asymmetric information cost in Indian stock market: a sectoral approach. Global Business Review, 21(1), 1-24.

Ripamonti, A. (2016). Corwin-Schultz bid-ask spread estimator in the Brazilian stock market. Brazilian Administration Review, 13(1), 76-97.

Ripamonti, A. (2019). Capital structure adjustments and asymmetric information. International Journal of Economics and Finance, 11(12), 1-14.

Ripamonti, A. (2020). Financial institutions, asymmetric information and capital structure adjustments. The Quarterly Review of Economics and Finance, 77, 75-83.

Ripamonti, A., Silva, D. R., & Moreira-Neto, E. B. (2018). Asset Pricing and Asymmetric Information. Asian Journal of Economics, Business and Accounting, 7(2), 1-9.

Roll, R. (1984). A simple implicit measure of the effective bid-ask spread in an efficient market. The Journal of Finance, 39(4), 1127-1139.

Rosati, P., Cummins, M., Deeney, P., Gogolin, F., Werff, L. v., & Lynn, T. (2017). The effect of data breach announcements beyond the stock price: Empirical evidence on market activity. International Review of Financial Analysis, 49(1), 146-154.

Ross, S. A. (1976). The arbitrage theory of capital asset pricing. Journal of Economic Theory, 13(3), 341-360.

Sharpe, W. F. (1964). Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk. The Journal of Finance, 19(3), 425-442.

Timmermann, A. (1995). Cointegration tests of present value models with a time-varying discount factor. Journal of Applied Econometrics, 10(1), 17-31.

Urbanski, S. (2012). Multifactor explanations of returns on the Warsaw Stock Exchange in light of the ICAPM. Economic Systems, 36(4), 552- 570.

Vaianos, D., & Wang, J. (2012). Liquidity and asset prices under asymmetric information and imperfect competition. Review of Financial Studies, 25(5), 1339-1365.

Cómo citar
Ichimura, D., Videira, R., & Ripamonti, A. (2020). Información asimétrica y precios diarios de acciones en Brasil. Estudios Gerenciales, 36(157), 465-472.
Artículo de investigación