Efeitos da Intangibilidade e da Gestão do Capital de Giro Sobre a Dificuldade Financeira Empresarial
DOI:
https://doi.org/10.17524/repec.v17i3.3192Palavras-chave:
Dificuldade Financeira, Intangibilidade, Ativos Intangíveis, Capital de Giro, Gestão de Capital de GiroResumo
Objetivo: Analisar se a intangibilidade, o capital de giro, e a gestão do capital de giro, influenciam o nível de dificuldade financeira das empresas.
Método: Utilizamos uma métrica de dificuldade financeira que separa as empresas entre 3 níveis de dificuldade financeira, diferindo de grande parte da literatura que só separa as empresas que estão ou não em dificuldade financeira. Para testar os efeitos da intangibilidade, capital de giro, e gestão do capital de giro sobre os diferentes níveis de dificuldade financeira, foi utilizado um modelo Probit Ordenado utilizando uma amostra de 1.968 observações de empresas listadas na B3 de 2010 a 2020.
Resultados: Indicam que empresas com maior capital de giro possuem maior probabilidade de estarem em menores níveis de dificuldade financeira. Além disso, encontramos evidências de que quanto pior a gestão do capital de giro maior a probabilidade de a empresa estar em maiores níveis de dificuldade financeira. Não encontramos evidências com relação à intangibilidade.
Contribuições: Os resultados encontrados contribuem para a literatura ao incrementar os modelos de dificuldade financeira utilizando uma nova métrica; e contribuem, também, às empresas para evitar, mitigar, ou melhor lidar, com uma situação financeira desfavorável ao tratar de decisões de gestão de financeira.
Referências
Al-Qudah, A. A., & Al-Afeef, M. A. M. (2015). The Relationship between the Investment in Current Assets and Profitability & Liquidity. Journal of Finance and Investment Analysis, 4(4), 11–22. https://doi.org/10.13140/RG.2.1.4687.3045
Almansour, B. Y. (2015). Empirical Model for Predicting Financial Failure. American Journal of Economics, Finance and Management, 1(3), 113–124.
Altaf, N. (2020). Working Capital Financing, Firm Performance and Financial Flexibility: Evidence from Indian Hospitality Firms. Global Business Review, 1–12. https://doi.org/10.1177/0972150920961371
Arrighetti, A., Landini, F., & Lasagni, A. (2014). Intangible assets and firm heterogeneity : Evidence from Italy. Research Policy, 43(1), 202–213. https://doi.org/10.1016/j.respol.2013.07.015
Azin, N. A. B. N., & Alias, N. (2019). Value relevance of intangible assets before and after FRS 138 adoptions: Evidence from Malaysia. International Journal of Financial Research, 10(3), 267–279. https://doi.org/10.5430/ijfr.v10n3p267
Baños-caballero, S., García-teruel, P. J., & Martínez-solano, P. (2014). Working capital management , corporate performance , and financial constraints. Journal of Business Research, 67(3), 332–338. https://doi.org/10.1016/j.jbusres.2013.01.016
Bhattacheryay, S. (2021). Multinational working capital management a study on Toyota Motor Corporation. International Journal of Finance and Economics. https://doi.org/10.1002/ijfe.2418
Boțoc, C., & Anton, S. G. (2017). Is profitability driven by working capital management? Evidence for high-growth firms from emerging Europe. Journal of Business Economics and Management, 18(6), 1135–1155. https://doi.org/10.3846/16111699.2017.1402362
Cardoso, G. F., & Peixoto, F. M. (2019). Board structure and financial distress in Brazilian firms. International Journal of Managerial Finance, 15(5), 813–828. https://doi.org/10.1108/IJMF-12-2017-0283
Céspedes, J., González, M., & Molina, C. A. (2010). Ownership and capital structure in Latin America. Journal of Business Research, 63(3), 248–254. https://doi.org/10.1016/j.jbusres.2009.03.010
Farooq, U., Jibran Qamar, M. A., & Haque, A. (2018). A three-stage dynamic model of financial distress. Managerial Finance, 44(9), 1101–1116. https://doi.org/10.1108/MF-07-2017-0244
Fernández-López, S., Rodeiro-Pazos, D., & Rey-Ares, L. (2020). Effects of working capital management on firms’ profitability: evidence from cheese-producing companies. Agribusiness, 36(4), 770–791. https://doi.org/10.1002/agr.21666
García-teruel, P. J., & Martínez-solano, P. (2007). Effects of working capital management on sme profitability *. International Journal of managerial finance, 3(2), 164–177. https://doi.org/https://doi.org/10.1108/17439130710738718
Geng, R., Bose, I., & Chen, X. (2015). Prediction of financial distress: An empirical study of listed Chinese companies using data mining. European Journal of Operational Research, 241(1), 236–247. https://doi.org/10.1016/j.ejor.2014.08.016
Glover, B. (2016). The expected cost of default. Journal of Financial Economics, 119(2), 284–299. https://doi.org/10.1016/j.jfineco.2015.09.007
Gregova, E., Valaskova, K., Adamko, P., Tumpach, M., & Jaros, J. (2020). Predicting Financial Distress of Slovak Enterprises : Comparison of Selected Traditional and Learning Algorithms Methods. Sustainability, 12(10), 3954.
Inekwe, J. N., Jin, Y., & Valenzuela, M. R. (2018). The effects of financial distress: Evidence from US GDP growth. Economic Modelling, 72(December 2017), 8–21. https://doi.org/10.1016/j.econmod.2018.01.001
Jones, S. (2011). Does the capitalization of intangible assets increase the predictability of corporate failure? Accounting Horizons, 25(1), 41–70. https://doi.org/10.2308/acch.2011.25.1.41
Kayani, U. N., de Silva, T.-A., & Gan, C. (2020). Working capital management and firm performance relationship: An empirical investigation of Australasian firms. Review of Pacific Basin Financial Markets and Policies, 23(3). https://doi.org/10.1142/S0219091520500265
Kliestik, T., Misankova, M., Valaskova, K., & Svabova, L. (2018). Bankruptcy Prevention: New Effort to Reflect on Legal and Social Changes. Science and Engineering Ethics, 24(2), 791–803. https://doi.org/10.1007/s11948-017-9912-4
Kovacova, M., & Kliestik, T. (2017). Logit and Probit application for the prediction of bankruptcy in Slovak companies. Equilibrium, 12(4), 775–791. https://doi.org/10.24136/eq.v12i4.40
Lim, S. C., Macias, A. J., & Moeller, T. (2020). Intangible assets and capital structure ✩. Journal of Banking and Finance, 118, 105873. https://doi.org/10.1016/j.jbankfin.2020.105873
Mok, H. M. K. (1993). Causality of interest rate, exchange rate and stock prices at stock market open and close in Hong Kong. Asia Pacific Journal of Management, 10(2), 123–143. https://doi.org/10.1007/BF01734274
Moreno-Bromberg, S., & Vo, Q. A. (2017). Resolution of financial distress under agency frictions. Journal of Banking and Finance, 82, 40–58. https://doi.org/10.1016/j.jbankfin.2017.05.009
Nobanee, H., & Abraham, J. (2015). Current assets management of small enterprises. Journal of Economic Studies, 42(4), 549–560. https://doi.org/10.1108/JES-02-2013-0028
Osinski, M., Selig, P. M., Matos, F., & Roman, D. J. (2017). Article information : Journal of Intellectual Capital, 18(3), 470–485.
Pouraghajan, A., & Emamgholipourarchi, M. (2012). Impact of Working Capital Management on Profitability and Market Evaluation : Evidence from Tehran Stock Exchange Abbasali Pouraghajan Department of Accounting. International Journal of Business and Social Science, 3(10), 311–318.
Rajendran, G. (2019). Financing current assets decision in working capital management: An evaluation. International Journal of Management, 10(2), 39–46. https://doi.org/10.34218/IJM.10.2.2019/004
Rojas, D., Cueva, D. F., Armas, R., & Matailo, L. (2017). Working capital in small and medium enterprises in Ecuador. Advanced Science Letters, 23(8), 7981–7983. https://doi.org/10.1166/asl.2017.9625
Safiq, M., Selviana, R., & Kusumastati, W. W. (2020). Financial and nonfinancial factors affecting future cashflow and their impacts on financial distress. International Journal of Research in Business and Social Science (2147- 4478), 9(5), 212–226. https://doi.org/10.20525/ijrbs.v9i5.859
Sant’Anna, A., Nelson, R., & Diniz, D. (2022). Capital, Agency and Distinction in Dynamics of Conversion of Economic Functions of Cities: Lessons from Lafayette (US). Brazilian Business Review, 19(2). https://doi.org/10.15728/bbr.2021.19.2.6
Sarkar, S. (2020). The relationship between operating leverage and financial leverage. Accounting and Finance, 60(S1), 805–826. https://doi.org/10.1111/acfi.12374
Shahwan, T. M., & Habib, A. M. (2020). Does the efficiency of corporate governance and intellectual capital affect a firm ’ s financial distress ? Evidence from Egypt. Journal of Intellectual Capital, 21(3), 403–430. https://doi.org/10.1108/JIC-06-2019-0143
Sriram, R. S. (2008). Relevance of intangible assets to evaluate financial health. Journal of Intellectual Capital, 9(3), 351–366. https://doi.org/10.1108/14691930810891974
Talonpoika, A.-M., Kärri, T., & Pirttilä, M. (2017). The dynamics of financial working capital management strategies. International Journal of Business Innovation and Research, 13(3), 309–325. https://doi.org/10.1504/IJBIR.2017.10005067
Tandiontong, M., & Sitompul, M. (2017). The Influence of Financial Distress Using Altman Z-Score, The Beta of Stocks and Inflation To The Stock Return. Journal of Finance and Banking Review, 2(2), 21–27. https://doi.org/10.35609/jfbr.2017.2.2(4)
Zanon, A. R. M., & Dantas, J. A. (2020). Market Reaction to the Issuance of Capital Instruments by Brazilian Banks. Brazilian Business Review, 17(1), 1–23. https://doi.org/10.15728/bbr.2020.17.1.1
Zarb, B. J. (2018). Liquidity, Solvency, And Financial Health: Do They Have An Impact On Us Airline Companies’profit Volatility? International Journal of Business, Accounting, & Finance, 12(1).
Zhang, Z., & Wang, J. (2014). Financial model based on principle component analysis and support vector machine. International Journal of Circuits, Systems and Signal Processing, 13(September), 183–190.
Downloads
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 2023 Revista de Educação e Pesquisa em Contabilidade (REPeC)
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Autores que publicam nesta revista concordam com os seguintes termos:
a) Autores mantém os direitos autorais e concedem à revista o direito de primeira publicação, com o trabalho simultaneamente licenciado sob a Licença Creative Commons Attribution 3.0 Unported License, que permite o compartilhamento do trabalho com reconhecimento da autoria e publicação inicial nesta revista. Esta licença permite que outros distribuam, remixem, adaptem ou criem obras derivadas, mesmo que para uso com fins comerciais, contanto que seja dado crédito pela criação original.
b) Não cabe aos autores compensação financeira a qualquer título, por artigos ou resenhas publicados na REPeC.
c) Os artigos e resenhas publicados na REPeC são de responsabilidade exclusiva dos autores.
d) Após sua aprovação, os autores serão identificados em cada artigo, devendo informar à REPeC sua instituição de ensino/pesquisa de vínculo e seu endereço completo.