Отразяване на олигополната пазарна структура при конструирането на финансов модел
DOI :
https://doi.org/10.37075/RP.2023.5.07Ключови думи :
Олигополна пазарна структура, Пазарен дял, Ниво на концентрация на пазара, Индекс на херфиндал-хиршман, Тежест на финансовите показателиАбстракт
Конкретната методика за определяне на тежестите на показателите е един от основните компоненти при конструирането на всеки финансов модел. Предвид спецификите на олигополната пазарна структура е необходимо да се отрази наличието ? при конструирането на финансови модели, имащи пред себе си за задача да установят финансовото състояние на компании-олигополисти. Именно при избора на методика за определяне на тежестите на показателите в конкретен финансов модел е възможно да бъде отчетено наличието на олигополната пазарна структура. В настоящата научна публикация е представен конкретен математически модел, който отчита наличието на олигополната пазарна структура.Литература (библиография)
Akomea, S. Y. & Adusei, M. (2013). Bank Recapitalization and Market Concentration in Ghana's Banking Industry: A Herfindahl-Hirschman Index Analysis. Global Journal of Business Research, 7(3), 31-45.
Beattie, Vivien, Goodacre, Alan, & Fearnley, Stella (2003). And then there were four: A study of UK audit market concentration ‐ causes, consequences and the scope for market adjustment. Journal of Financial Regulation and Compliance, 11(3), 250-265. DOI: https://doi.org/10.1108/13581980310810561
Beck, Jason, Scott, Frank, & Yelowitz, Aaron (2012). Concentration and Market Structure in Local Real Estate Markets. Real Estate Economics, 40, 422-460. DOI: https://doi.org/10.1111/j.1540-6229.2011.00322.x
Bertrand, J. (1883). Review of Théorie Mathématique de la Richesse Sociale and Recherches sur les Principles Mathématique de la Théorie des Richesses. Journal des Savants, 68, 499-508. DOI: https://doi.org/10.1017/CBO9780511528231.006
Bulgurcu, Berna (2012). Application of TOPSIS Technique for Financial Performance Evaluation of Technology Firms in Istanbul Stock Exchange Market. Procedia - Social and Behavioral Sciences, 62, 1033-1040. DOI: https://doi.org/10.1016/j.sbspro.2012.09.176
Collard-Wexler, Allan, Gowrisankaran, Gautam, & Lee, Robin S. (2018). “Nash-in-Nash” Bargaining: A Microfoundation for Applied Work. Journal of Political Economy, 127(1), 163-195. DOI: https://doi.org/10.1086/700729
Cournot, A. (1838). Recherches sur les Principles Mathématique de la Théorie des Richesses. Paris: L. Hachette.
Dahooie, Jalil Heidary, Zavadskas, Edmundas Kazimieras, Vanaki, Amir Salar, Firoozfar, Hamid Reza, Lari, Mahnaz, & Turskis, Zenonas (2019). A new evaluation model for corporate financial performance using integrated CCSD and FCM-ARAS approach. Economic Research-Ekonomska Istraživanja, 32(1), 1088-1113. DOI: https://doi.org/10.1080/1331677X.2019.1613250
Deng, Hepu, Yeh, Chung-Hsing, & Willis, Robert J. (2000). Inter-company comparison using modified TOPSIS with objective weights. Computers & Operations Research, 27(10), 963-973. DOI: https://doi.org/10.1016/S0305-0548(99)00069-6
Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The critic method. Computers & Operations Research, 22(7), 763-770. DOI: https://doi.org/10.1016/0305-0548(94)00059-H
Coggeshall, F. (1886). The Arithmetic, Geometric, and Harmonic Means. The Quarterly Journal of Economics, 1(1), 83-86. DOI: https://doi.org/10.2307/1883111
Handelsreport Lebensmittel. Fakten zum Lebensmitteleinzelhandel. (2018). Handelsverband Deutschland.
Krivka, Algirdas (2016). On the concept of market concentration, the minimum Herfindahl‒Hirschman index, and its practical application. Panoeconomicus, 63(5), 525-540. DOI: https://doi.org/10.2298/PAN140407025K
Martyniuk, Volodymyr, Wolowiec, Tomasz, & Mieszajkina, Elena (2021). Planning and Forecasting Customs Revenues to the State Budget: A Case Study of Ukraine. European Research Studies Journal, XXIV(2), 648-665. DOI: https://doi.org/10.35808/ersj/2301
Moretti, Luigi (2012). Bank Concentration, Private Credit, and Firm Turnover. Evidence from the Enlarged European Union. Aisberg (University of Bergamo), 50(5), 5-22. DOI: https://doi.org/10.2753/EEE0012-8775500501
Safaei Ghadikolaei, Abdolhamid, Khalili Esbouei, Saber, & Antucheviciene, Jurgita (2014). Applying fuzzy MCDM for financial performance evaluation of Iranian companies. Technological and Economic Development of Economy, 20(2), 274-291. DOI: https://doi.org/10.3846/20294913.2014.913274
Wang, Yu-Jie & Lee, Hsuan-Shih (2009). Evaluating financial performance of Taiwan container shipping companies by strength and weakness indices. International Journal of Computer Mathematics, 87(1), 38-52. DOI: https://doi.org/10.1080/00405000701489412
Wu, Zhibin & Chen, Yihua (2007). The maximizing deviation method for group multiple attribute decision making under linguistic environment. Fuzzy Sets and Systems, 158(14), 1608-1617. DOI: https://doi.org/10.1016/j.fss.2007.01.013
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