Looking a step ahead: the effect of accounting information on macroeconomic variables in Brazil

Authors

DOI:

https://doi.org/10.16930/2237-766220203038

Keywords:

Macroaccounting, Time series, Accounting information.

Abstract

This work analyzes the effect of shocks on accounting variables on a set of macroeconomic variables in the Brazilian scenario, based on the assumption of the usefulness of accounting information and its potential effect on the economy. In the survey, the following macroeconomic variables are analyzed: gross domestic product (GDP), unemployment and basic interest rate (Selic). The research, of a quantitative nature, uses vector autoregression (VAR) models to verify the effect of shocks of accounting variables (operating cash flow; earnings before interest and taxes - Ebit; net income; and shareholders' equity) on Brazilian macroeconomic variables from 2000 to 2019, analyzing 79 quarters in all. The research assumption, based on the previous literature, is that the accounting information carries informational elements of the real economy, being able, therefore, to predict movements of macroeconomic variables, such as GDP (Konchitchki & Patatoukas, 2014a; Brito, 2017; Silva, 2019); inflation (Shivakumar & Urcan, 2017) and employment (Hann, Li & Ogneva, 2017; Nallareddy & Ogneva, 2017), among others. As main results, shocks in the accounting variables take effect up to five quarters later and soon dissipate. Shocks in net income and Ebit have positive effects on GDP and shocks in operating cash reduce unemployment most of the time, while shocks in Ebit have little effect on the Selic. The findings show, in particular, the ability of accounting information to anticipate movements in macroeconomic variables, constituting a viable alternative for the analysis of these macrovariables, serving as an additional tool in the decision-making process, especially for investment-related decisions, which are very sensitive to economic instabilities.

Author Biographies

André Sekunda, Federal University of Paraiba

Federal University of Paraiba. Address: Cidade Universitária, S/N | 58051-900 | João Pessoa/PB | Brazil.

José Ricardo Revoredo da Silva, Federal University of Paraiba

Federal University of Paraiba. Address: Cidade Universitária, S/N | 58051-900 | João Pessoa/PB | Brazil.

Edilson Paulo, Federal University of Rio Grande do Sul

Federal University of Rio Grande do Sul. Address: Avenida João Pessoa, 52 - sala 44 | Centro Histórico | 90040-000 | Porto Alegre/RS | Brazil.

References

Ball, R., & Brown, P. (1968). An empirical evaluation of accounting income numbers. Journal of accounting research, 159-178. DOI: https://doi.org/10.2307/2490232

Ball, R., & Sadka, G. (2015). Aggregate earnings and why they matter. Journal of Accounting Literature, 34, 39-57. DOI: https://doi.org/10.1016/j.acclit.2015.01.001

Barboza, R. D. M., & Zilberman, E. (2018). Os efeitos da incerteza sobre a atividade econômica no Brasil. Revista Brasileira de Economia, 72(2), 144-160. DOI: https://doi.org/10.5935/0034-7140.20180007

Bloom, N., Floetotto, M., Jaimovich, N., Saporta-Eksten, I., & Terry, S. J. (2012). Really uncertain business cycles (No. w18245). National Bureau of Economic Research. DOI: https://doi.org/10.3386/w18245

Brito, S. S. (2017). Informação contábil e crescimento econômico: estudo da relação entre o desempenho econômico-financeiro das empresas e o PIB. Dissertação de Mestrado em Ciências Contábeis, Universidade Estadual de Maringá, Maringá, PR, Brasil.

Cavalcanti, M. A. F. H. (2010). Identificação de modelos VAR e causalidade de Granger: uma nota de advertência. Economia Aplicada, 14(2), 251-260. https://dx.doi.org/10.1590/S1413-80502010000200008. DOI: https://doi.org/10.1590/S1413-80502010000200008

Cready, W., & U. Gurun. 2010. Aggregate Market Reaction to Earnings Announcements. Journal of Accounting Research, 48, 289-334. DOI: https://doi.org/10.1111/j.1475-679X.2010.00368.x

Farias, H. P. (2008). Função resposta a impulso e decomposição da variância do erro de previsão aplicados às principais bolsas de valores. Dissertação de Mestrado, Universidade Federal de Lavras, Lavras, MG, Brasil.

Giordano, R., Momigliano, S., Neri, S., & Perotti, R. (2007). The effects of fiscal policy in Italy: Evidence from a VAR model. European Journal of Political Economy, 23(3), 707-733. DOI: https://doi.org/10.1016/j.ejpoleco.2006.10.005

Hann, R. N., Li, C., & Ogneva, M. (2017). Another look at the macroeconomic information content of aggregate earnings: Evidence from the labor market. Available at SSRN 2993654. DOI: https://doi.org/10.2139/ssrn.2993654

Kalay, A., Nallareddy, S., & Sadka, G. (2016). Uncertainty and sectoral shifts: The interaction between firm-level and aggregate-level shocks, and macroeconomic activity. Management Science, 64(1), 198-214. DOI: https://doi.org/10.1287/mnsc.2016.2581

Keynes, J. M. (1936). The General Theory of Employment, Interest and Money. Londres, Macmillan.

Konchitchki, Y., & Patatoukas, P. N. (2014a). Accounting earnings and gross domestic product. Journal of Accounting and Economics, 57(1), 76-88. DOI: https://doi.org/10.1016/j.jacceco.2013.10.001

Konchitchki, Y., & Patatoukas, P. N. (2014b). Taking the pulse of the real economy using financial statement analysis: Implications for macro forecasting and stock valuation. The Accounting Review, 89(2), 669-694. DOI: https://doi.org/10.2308/accr-50632

Kothari, S. P., & Wasley, C. (2019). Commemorating the 50?Year Anniversary of Ball and Brown (1968): The Evolution of Capital Market Research over the Past 50 Years. Journal of Accounting Research, 57(5), 1117-1159. DOI: https://doi.org/10.1111/1475-679X.12287

Kothari, S. P., Shivakumar, L., & Urcan, O. (2013). Aggregate earnings surprises and inflation forecasts. Unpublished Paper, MIT Sloan School of Management and London Business School. DOI: https://doi.org/10.2139/ssrn.2194122

Nallareddy, S., & Ogneva, M. (2017). Predicting restatements in macroeconomic indicators using accounting information. The Accounting Review, 92(2), 151-182. DOI: https://doi.org/10.2308/accr-51528

Nunes, M. S., Costa Junior, N. C., & Meurer, R. (2005). A relação entre o mercado de ações e as variáveis macroeconômicas: uma análise econométrica para o Brasil. Revista Brasileira de Economia, 59(4), 585-607. DOI: https://doi.org/10.1590/S0034-71402005000400004

Pereira, G. C., Melo, A. S., & Xavier, L. F. (2017). Efeitos da política de salário mínimo sobre o mercado de trabalho metropolitano: uma análise empírica a partir de vetores autorregressivos (var) - (2003-2015). Revista de Economia Contemporânea, 21(1), e172113. https://dx.doi.org/10.1590/198055272113 DOI: https://doi.org/10.1590/198055272113

Sanches, A. L. R., Zanin, V., Alves, L. R. A., & Jacomini, R. L. (2016). Formação de preços no mercado de milho da Região de Chapecó/SC-Brasil. Revista Espacios, 37(18).

Shivakumar, L. (2007). Aggregate Earnings, Stock Market Returns and Macroeconomic Activity: A Discussion of ‘Does Earnings Guidance Affect Market Returns? The Nature and Information Content of Aggregate Earnings Guidance.” Journal of Accounting and Economics, 44, 64-73. DOI: https://doi.org/10.1016/j.jacceco.2006.12.001

Shivakumar, L., & Urcan, O. (2017). Why does aggregate earnings growth reflect information about future inflation? The Accounting Review, 92(6), 247-276. DOI: https://doi.org/10.2308/accr-51714

Sibin, B. H., Silva Filho, L. A., & Ballini, R. (2016). Financiamento habitacional e seus impactos sobre os preços na construção civil brasileira. Revista Espacios, 37(20).

Silva, J. R. R. (2019). Informações contábeis e atividade econômica: a relação entre o desempenho das firmas e crescimento econômico do Brasil. Dissertação de Mestrado em Ciências Contábeis, Universidade Federal da Paraíba, PB, Brasil.

Silva, J. R. R., Paulo, E., Bianchi, M., & Queiroz, D. B. (2018) Informações contábeis e atividade econômica: relação entre rentabilidade das firmas no crescimento econômico do Brasil. Anais do Congresso Anpcont, João Pessoa, PB, Brasil, 12.

Silveira, A. G., de Mattos, V. L. D., & Konrath, A. C. (2017). Avaliação da estacionariedade e teste de cointegração em séries temporais o caso da demanda de energia elétrica residencial no brasil. RETEC-Revista de Tecnologias, 9(3).

Sistema IBGE de Recuperação Automática (SIDRA) (2020). Recuperado em 6 fevereiro, 2020, de http://sidra.ibge.gov.br

Triches, D., & Fiorentin, G. P. (2018). Avaliação do regime de metas de inflação nos países da américa latina entre 2001 e 2014. Revista de Economia Contemporânea, 22(2). DOI: https://doi.org/10.1590/198055272222

Published

2020-07-01

How to Cite

Sekunda, A., Revoredo da Silva, J. R., & Paulo, E. (2020). Looking a step ahead: the effect of accounting information on macroeconomic variables in Brazil. Revista Catarinense Da Ciência Contábil, 19. https://doi.org/10.16930/2237-766220203038

Issue

Section

Articles