Efeito da incerteza nas organizações do mercado de ações: uma ferramenta para tomada de decisão e inteligencia organizacional
DOI:
https://doi.org/10.18046/j.estger.2022.162.4689Palavras-chave:
incerteza, tomada de decisão, inteligência organizacional, racionalidade, matérias-primas energéticasResumo
Este artigo tem como objetivo medir o efeito da incerteza nas organizações do mercado de ações colombiano, usando informação financeira como os preços das matérias-primas energéticas e a taxa de câmbio, a fim de aumentar a inteligência organizacional para a tomada de decisões. O modelo FAVAR e a mensuração de transbordamento financeiro utilizaram-se para analisar os impactos e a volatilidade direcional do índice IMIFE, que é uma proxy de incerteza. Verifica-se que a incerteza afeta negativamente o crescimento do valor das ações colombianas, gerando impactos significativos de mais de 90% em tempos de alta incerteza, o que permite decisões de gestão, tanto estratégicas quanto financeiras.
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Ali, U., Daniel, K. D. y Hirshleifer, D. A. (2017). One brief shining moment (um): Past momentum performance and momentum reversals. Columbia Business School Research Paper, 17-48. http://dx.doi.org/10.2139/ssrn.2956493
Arora, V. y Cerisola, M. (2001). How does US monetary policy influence sovereign spreads in emerging markets? IMF Staff Papers, 48(3), 474-498. https://doi.org/10.2307/4621680
Asness, C. S., Moskowitz, T. J. y Pedersen, L. H. (2013). Value and momentum everywhere. The Journal of Finance, 68(3), 929-985. https://doi.org/10.1111/jofi.12021
Bergstrand, J. H. (1985). The gravity equation in international trade: some microeconomic foundations and empirical evidence. The review of economics and statistics, 474-481. https://doi.org/10.2307/1925976
Bernstein, P. L. (1998). Against the Gods: the remarkable story of Risk. John Wiley & Sons. Inc
Bernanke, B. S., Boivin, J., & Eliasz, P. (2005). Measuring the effects of monetary policy: a factor-augmented vector autoregressive (FAVAR) approach. The Quarterly journal of economics, 120(1), 387-422. https://doi.org/10.1162/0033553053327452
Bloom, N. (2009). The impact of uncertainty shocks. Econometrica, 77(3), 623-685. https://doi.org/10.3982/ECTA6248
Brahmasrene, T., Huang, J. C. y Sissoko, Y. (2014). Crude oil prices and exchange rates: Causality, variance decomposition and impulse response. Energy Economics, 44, 407-412. https://doi.org/10.1016/j.eneco.2014.05.011
Bunge, M. (2000). La investigación científica. Su estrategia y su Filosofía. México: Ariel.
Candelo, J. M. (2018). Impactos indirectos de la tasa de cambio y los precios del petróleo en una economía no petrolera: aproximaciones VECM y VAR para el Valle del Cauca, Colombia. Finanzas y Política Económica, 10(2), 403-436. https://doi.org/10.14718/revfinanzpolitecon.2018.10.2.9
Candelo-Viáfara, J. (2020). La educación y la distribución del tiempo laboral como variables para la selección de personal y la eficiencia organizacional. Revista Escuela de Administración de Negocios, 88, 49-62. https://doi.org/10.21158/01208160.n88.2020.2498
Candelo-Viáfara, J. M. (2021). Índice mensual de incertidumbre financiera y económica (IMIFE) para la economía colombiana. Lecturas de Economía, 95, 85-104. https://doi.org/10.17533/udea.le.n95a343318
Candelo-Viáfara, J. y Oviedo-Gómez, A. (2020). Efecto derrame del mercado internacional en las economías latinoamericanas: los casos de Chile, Brasil, Colombia y México. Apuntes del Cenes, 39(70). 107-138. https://doi.org/10.19053/01203053.v39.n70.2020.10876
Cerda, R., Silva, Á. y Valente, J. (2016). Economic Uncertainty Impact in a Small Open Economy: The Case of Chile. Recuperado de https://negocios.udd.cl/files/2016/12/CerdaSilvaValente_EU_Chile_Paper.pdf
Chenari, H., Nazem, F. y Safari, M. (2013). Modeling Organizational Intelligence Based on Knowledge Management in the Technical and Vocational Training Organization of Tehran. En 14th European Conference on Knowledge Management (pp. 167-173). Kaunas, Lithuania: Kaunas University of Technology.
Coase, R. H. (1988). The Nature of the Firm: Meaning. Journal of Law, Economics, & Organization, 4(1), 19–32. http://www.jstor.org/stable/765012
Daniel, K., Hirshleifer, D., & Subrahmanyam, A. (1998). Investor psychology and security market under-and overreactions. The Journal of Finance, 53(6), 1839-1885. https://doi.org/10.1111/0022-1082.00077
Daniel, K. y Moskowitz, T. J. (2016). Momentum crashes. Journal of Financial Economics, 122(2), 221-247. https://doi.org/10.1016/j.jfineco.2015.12.002
De Truchis, G. y Keddad, B. (2016). On the risk comovements between the crude oil market and US dollar exchange rates. Economic Modelling, 52, 206-215. https://doi.org/10.1016/j.econmod.2014.11.014
Diebold, F. X. y Yilmaz, K. (2012). Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of Forecasting, 28(1), 57-66. https://doi.org/10.1016/j.ijforecast.2011.02.006
Ercetin, S. y Demirbulak, D. (2002). Action Research… Organizational Intelligence… Curriculum Development. Educational Research Quarterly, 21(1), 41-49.
Frazzini, A. (2006). The disposition effect and underreaction to news. The Journal of Finance, 61(4), 2017-2046. https://doi.org/10.1111/j.1540-6261.2006.00896.x
Fu, C., Chang, W. y Yang, S. (2020). Multiple criteria group decision making based on group satisfaction. Information Sciences, 518, 309-329. https://doi.org/10.1016/j.ins.2020.01.021
Gervais, S., Kaniel, R. y Mingelgrin, D. H. (2001). The high-volume return premium. The Journal of Finance, 56(3), 877-919. https://doi.org/10.1111/0022-1082.00349
Geweke, J. (1977). The dynamic factor analysis of economic time series. En D. J. Aigner & A. S. Goldberger (eds.): Latent Variables in Socioeconomic Models (pp. 365-383). North-Holland Publications.
Glynn, M. A. (1996). Innovative genius: A framework for relating individual and organizational intelligences to innovation. Academy of Management Review, 21(4), 1081-1111. https://doi.org/10.5465/amr.1996.9704071864
Gómez, A. (2012). Statistical-methodological proposal to measure organizational intelligence, based on the fifth discipline by Peter Senge. Negotium, 22(9), 53-83. Recuperado de http://www.revistanegotium.org/pdf/22/art3.pdf
González, S., & Hernández, E. (2016). Impactos indirectos de los precios del petróleo en el crecimiento económico colombiano. Lecturas de Economía, (84), 113-141. https://doi.org/10.17533/udea.le.n84a04
Golub, S. S. (1983). Oil prices and exchange rates. The Economic Journal, 93(371), 576-593. https://doi.org/10.2307/2232396.
Groenewegen, P. (1995). A soaring eagle: Alfred Marshall 1842-1924. Aldershot: Edward Elgar Publishing.
Gulick, L. (1965). Management is a Science. Academy of Management Journal, 8(1), 7-13.
Haddow, A., Hare, C., Hooley, J. y Shakir, T. (2013). Macroeconomic uncertainty: What is it, how can we measure it and why does it matter? Bank of England, 53(2), 100-109.
He, Y., Hu, L., Guan, X., Deng, Y. y Han, D. (2012). New method for measuring the degree of conflict among general basic probability assignments. Science China Information Sciences, 55(2), 312-321. https://doi.org/10.1007/s11432-011-4346-0
Hong, H. y Stein, J. C. (1999). A unified theory of underreaction, momentum trading, and overreaction in asset markets. The Journal of Finance, 54(6), 2143-2184. https://doi.org/10.1111/0022-1082.00184
Jurado, K., Ludvigson, S. C. y Ng, S. (2015). Measuring uncertainty. American Economic Review, 105(3), 1177-1216. https://doi.org/10.1257/aer.20131193
Keynes, J. M. (1921). A treatise on probability. New York: St. Martins Press.
Keynes, J. M. (1939). The League of Nations Professor Tinbergen's Method. The Economic Journal, 49(195), 558-577.
Knight, F. H. (1921). Risk, uncertainty and profit. Boston, MA: Houghton Mifflin Co.
Koop, G., Pesaran, M. H. y Potter, S. M. (1996). Impulse response analysis in nonlinear multivariate models. Journal of Econometrics, 74(1), 119-147. https://doi.org/10.1016/0304-4076(95)01753-4
Krugman, P. (1983). Oil shocks and exchange rate dynamics. En Exchange rates and international macroeconomics (pp. 259-284). Chicago: University of Chicago Press. Recuperado de http://www.nber.org/chapters/c11382
León, M., Tejada, G. y Yataco, T. (2003). Las Organizaciones Inteligentes. Industrial Data, 6(2), 82-87.
Lof, M. y Nyberg, H. (2017). Noncausality and the commodity currency hypothesis. Energy Economics, 65, 424-433. https://doi.org/10.1016/j.eneco.2017.05.024
López, I. y Correa, M. (2011). Fuentes de información e inteligencia organizacional en investigación. El caso de la Universidad Tecnológica de Pereira. Cuadernos de Administración, 24(42), 231-252. Recuperado de http://www.scielo.org.co/pdf/cadm/v24n42/v24n42a11.pdf
Lozano, J., y González, C. (2014). Una propuesta para la definición de la inteligencia organizacional. Universidad & Empresa, 16(26), 155-171.
March, J. G. y Olsen, J. P. (1976). Organizational Learning and the Ambiguity of the Past. Ambiguity and Choice in Organizations, 2(1), 54-68.
Mas, A. (2005). Antecedentes y situación actual de los conceptos y métodos para el desarrollo de la inteligencia organizacional. ACIMED, 13(4), 1-25.
Matsuda, T. (1992). Organizational intelligence: Coordination of human intelligence and machine intelligence. En P. Bourgine y B. Walliser (Eds.), Economics and Cognitive Science (pp. 171-180). Oxford: Pergamon.
Mendoza, O. & Vera, D. (2010). The asymmetric effects of oil shocks on an oil-exporting Economy. Cuadernos de Economía, 47(135), 3-1. http://dx.doi.org/10.4067/S0717-68212010000100001
Mintzberg, H. (1993). Structure in fives: Designing effective organizations. Englewood Cliffs, NJ: Prentice-Hall.
Moskowitz, T. J., Ooi, Y. H., & Pedersen, L. H. (2012). Time series momentum. Journal of Financial Economic, 104(2), 228-250. https://doi.org/10.1016/j.jfineco.2011.11.003
Niiniluoto, I. (1984). Is science progressive? Dordrecht: D. Reidel.
Novy-Marx, R. (2012). Is momentum really momentum? Journal of Financial Economics, 103(3), 429-453. https://doi.org/10.1016/j.jfineco.2011.05.003
Nozick, R. (1995). La naturaleza de la racionalidad. Barcelona: Paidós.
Núñez, M. (2002). Organizational change and accounting: The gun-powder monopoly in New Spain, 1757-87. Accounting, Business & Financial History, 12(2), 275-315. https://doi.org/10.1080/09585200210134956
Orozco, E. (1999). La inteligencia organizacional en la industria biofarmacéutica. Ciência da Informação, 28(1), 59-66. http://dx.doi.org/10.1590/S0100-19651999000100008
Ortiz, C. H. (2016). Diversificación productiva y crecimiento económico. Cali: Universidad del Valle.
Oviedo, A. F. y Sierra, L. P. (2019). Importancia de los términos de intercambio en la economía colombiana. CEPAL Review, 128, 125-154. Recuperado de https://repositorio.cepal.org/bitstream/handle/11362/44740/RVE128_Oviedo.pdf?sequence=1&isAllowed=y
Oviedo-Gómez, A. y Candelo-Viáfara, J. M. (2020). Mining and Energy Commodity Price Effects on Colombian Economy. Cuadernos de Administración, 36(67), 3-15. https://doi.org/10.25100/cdea.v36i67.8641
Pesaran, M. H. y Shin, Y. (1998). Generalized impulse response analysis in linear multivariate models. Economics Letters, 58(1), 17-29. https://doi.org/10.1016/S0165-1765(97)00214-0
Poncela, P., Senra, E. & Sierra, L. P. (2016). Long-term links between raw materials prices, real exchange rate and relative de-industrialization in a commodity-dependent economy: empirical evidence of "Dutch disease" in Colombia. Empirical Economics, 52(2), 777-798. https://doi.org/10.1007/s00181-016-1083-7
Ranjbarian, R. y Esgandari, K. (2014). Ranking of Organizational Intelligence Aspects of Chancellors of Islamic Azad Universities. Applied mathematics in Engineering, Management and Technology, 2(2), 1-8.
Reinhart, C. M. (1995). Devaluation, Relative Prices and International Trade: Evidence from Developing Countries. Staff Papers, 42(2), 290-312. https://doi.org/10.2307/3867574
Reza, H., Sabzeparvar, M., Lotfi, M. y Sadat, Z. (2014). Evaluation of the Role of Organizational Intelligence in Organizational Performance Using a Seven Dimensional Model of Albrecht. Journal of Applied Environmental and Biological Sciences, 4(7), 49-54.
Sagi, J. S. y Seasholes, M. S. (2007). Firm-specific attributes and the cross-section of momentum. Journal of Financial Economics, 84(2), 389-434. https://doi.org/10.1016/j.jfineco.2006.02.002
Shafritz, J. M., Ott, J. S. y Jang, Y. S. (2015). Classics of organization theory. Boston, MA: Cengage Learning.
Simon, H. A. (1962). El comportamiento administrativo. Madrid: Aguilar.
Simon, H. A. (1990). Bounded rationality. En J. Eatwell, M. Milgate y P. Newman (Eds.), Utility and probability (pp. 15-18). London: Palgrave Macmillan.
Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1-48.
Stock, J. H. y Watson, M. W. (2005). Implications of dynamic factor models for VAR analysis. National Bureau of Economic Research (Working paper), 11467, 1-67. Recuperado de https://www.nber.org/papers/w11467
Stock, J. H. y Watson, M. W. (2011). Dynamic factor models. Oxford handbook of economic for recasting, 1, 35-59. https://doi.org/10.1093/oxfordhb/9780195398649.013.0003
Tello, C. (2018). El concepto de organización, tan cerca y tan lejos. En Tello Castrillón, C. y Pineda, E. F. (comps.), Conjeturas orga-nizacionales Fundamentos para el estudio de la organización (pp. 79-102). Bogotá: Universidad Nacional de Colombia. Recuperado de https://repositorio.unal.edu.co/handle/unal/68982?show=full
Von Neumann, J. y Morgenstern, O. (1947). Theory of games and economic behavior (2.ª ed.). Princeton, NJ: Princeton University Press.
Wang, Z., Gao, J. M., Wang, R. X., Chen, K., Gao, Z. Y. y Jiang, Y. (2018). Failure mode and effects analysis using Dempster-Shafer theory and TOPSIS method: Application to the gas insulated metal enclosed transmission line (GIL). Applied Soft Computing, 70, 633-647. https://doi.org/10.1016/j.asoc.2018.06.015
Wilensky, H. (1970). Intelligence in Industry: The uses and abuses of experts. The Annals of the American Academy of Political and Social Science, 388, 46-58.
World Bank. (2015). Global Economic Prospects, January 2015. Washington, DC: World Bank.
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