Stochastic Fuzzy Algorithms for Impairment of Assets Management
Keywords:fuzzy logic-based methods, tangible assets, impairment, management tool, risk, fuzzy stochastic number, cash flows, performance.
AbstractThe present paper aims to analyze the impairment of tangible assets with the help of artificial intelligence. Stochastic fuzzy numbers have been introduced with a dual purpose: on one hand to estimate the cash flows generated by tangible assets exploitation and, on the other hand, to ensure the value ranges stratifications that define these cash flows. Estimation of cash flows using stochastic fuzzy numbers was based on cash flows generated by tangible assets in previous periods of operation. Also, based on the Lagrange multipliers, were introduced: the objective function of minimizing the standard deviations from the recorded value of the cash flows generated by the tangible assets, as well as the constraints caused by the impairment of tangible assets identification according to which the cash flows values must be equal to the annual value of the invested capital. Within the determination of the impairment value and stratification of the value ranges determined by the cash flows using stochastic fuzzy numbers, the impairment of assets risk was identified. Information provided by impairment of assets but also the impairment risks, is the basis of the decision-making measures taken to mitigate the impact of accumulated impairment losses on company’s financial performance.
AbuGhazaleh, N. M.; Al-Hares, O. M.; Roberts, C. (2011). Accounting Discretion in Goodwill Impairments: UK Evidence, Journal of International Financial Management & Accounting, 22(3), 165-204, 2011. https://doi.org/10.1111/j.1467-646X.2011.01049.x
Agarwal, S.; Gabaix, X.; Driscoll, J. C.; Laibson, D. (2009). The Age of Reason: Financial Decisions over the Life Cycle and Implications for Regulation, Brookings Papers on Economic Activity, 2, 51-117, 2009. https://doi.org/10.1353/eca.0.0067
Andre, P., Filip A., & Paugam, L. (2015). The Effect of Mandatory IFRS Adoption on Conditional Conservatism in Europe. Journal of Business Finance & Accounting, 42(3-4), 482-514, 2015. https://doi.org/10.1111/jbfa.12105
Badertscher, B. A.; Burks, J. J.; Easton, P. D. (2012). A Convenient Scapegoat: Fair Value Accounting by Commercial Banks during the Financial Crisis, Accounting Review, 87, 59-90, 2012. https://doi.org/10.2308/accr-10166
Bolos, M. I.; Bradea, I. A.; Delcea, C. (2019). A Fuzzy Logic Algorithm for Optimizing the Investment Decisions within Companies. Symmetry, 11(2), 186, 2019. https://doi.org/10.3390/sym11020186
Bolos, M. I.; Bradea, I. A.; Delcea, C. (2019). The Development of a Fuzzy Logic System in a Stochastic Environment with Normal Distribution Variables for Cash Flow Deficit Detection in Corporate Loan Policy, Symmetry, 11(4), 548, 2019. https://doi.org/10.3390/sym11040548
Carlin, T. M.; Finch, N. (2009). Discount Rates in Disarray: Evidence on Flawed Goodwill Impairment Testing. Australian, Accounting Review, 19, 326-336, 2009. https://doi.org/10.1111/j.1835-2561.2009.00069.x
Chalmers, K.; Clinch, G.; Godfrey, J. M.; Wei, Z. (2012). Intangible assets, IFRS and analysts' earnings forecasts, Accounting and Finance, 52, 691-721, 2012. https://doi.org/10.1111/j.1467-629X.2011.00424.x
Dzitac, I.; Filip, F.G.; Manolescu, M.J. (2017), Fuzzy Logic Is Not Fuzzy: World-renowned Computer Scientist Lofti A. Zadeh, International Journal of Computers Communications & Control, 12(6), 748-789, 2017. https://doi.org/10.15837/ijccc.2017.6.3111
Feng, M.; Li. C.; McVay, S. E.; Skaife, H. (2015). Does Ineffective Internal Control over Financial Reporting affect a Firm's Operations? Evidence from Firms' Inventory Management, Accounting Review, 90, 529-557, 2015. https://doi.org/10.2308/accr-50909
Giner, B.; Pardo, F. (2015). How Ethical are Managers' Goodwill Impairment Decisions in Spanish-Listed Firms?, Journal of Business Ethics, 132, 21-40, 2015. https://doi.org/10.1007/s10551-014-2303-8
Ginevicius, R.; Gudaciauskas, D. (2004). Brand valuation model, Journal of Business Economics and Management, 5, 143-153, 2004. https://doi.org/10.3846/16111699.2004.9636078
Glaum, M.; Schmidt, P.; Street, D. L.; Vogel S. (2013). Compliance with IFRS 3-and IAS 36- required disclosures across 17 European countries: company- and country-level determinants, Accounting and Business Research, 43, 163-204, 2013. https://doi.org/10.1080/00014788.2012.711131
Godfrey, J. M.; Koh, P. S. (2009). Goodwill impairment as a reflection of investment opportunities, Accounting and Finance, 49, 117-140, 2009. https://doi.org/10.15837/ijccc.2020.1.3690 21 https://doi.org/10.1111/j.1467-629X.2008.00272.x
Gox, R.F.; Wagenhofer, A. (2009). Optimal impairment rules, Journal of Accounting & Economics, 48, 2-16, 2009. https://doi.org/10.1016/j.jacceco.2009.04.004
Hamberg, M.; Beisland, L. A. (2014). Changes in the value relevance of goodwill accounting following the adoption of IFRS 3. Journal of International Accounting, Auditing and Taxation, 23, 59-73, 2014. https://doi.org/10.1016/j.intaccaudtax.2014.07.002
Hamberg, M.; Paananen, M.; Novak, J. (2011). The Adoption of IFRS 3: The Effects of Managerial Discretion and Stock Market Reactions, European Accounting Review, 20, 263-288, 2011. https://doi.org/10.1080/09638181003687877
Korosec, B.; Jerman, M.; Tominc, P. (2016). The impairment test of goodwill: an empirical analysis of incentives for earnings management in Italian publicly traded companies. Economic Research-Ekonomska IstraÅ¾ivanja, 29, 162-176, 2016. https://doi.org/10.1080/1331677X.2016.1164923
Lawrence, A.; Sloan, R.; Sun, Y. (2013). Non-discretionary conservatism: Evidence and implications. Journal of Accounting & Economics, 56(2-3), 112-133, 2013. https://doi.org/10.1016/j.jacceco.2013.10.005
Matemilola, B.T.; Ahmad, R. (2015). Debt financing and importance of fixed assets and goodwill assets as collateral: dynamic panel evidence, Journal of Business Economics and Management, 16, 407-421, 2015. https://doi.org/10.3846/16111699.2013.772916
Meyer, A.; Zimmermann H.J. (2011). Applications of Fuzzy Technology in Business Intelligence, International Journal of Computers Communications & Control, 6(3), 428-441,2011. https://doi.org/10.15837/ijccc.2011.3.2128
Riedl, E. J. (2004). An examination of long-lived asset impairments, Accounting Review, 79, 823-852, 2004. https://doi.org/10.2308/accr.2004.79.3.823
Rus, L.; Belenesi, M.; Gherai, D.S. (2016). Accounting, Analysis And Auditing Of Information Regarding Tangible Assets In The Romanian Economic Entities, Annales Universitatis Apulensis Series Oeconomica, 18, 1-6, 2016.
Schatt, A.; Doukakis, L.; Bessieux-Ollier, C.; Walliser, E. (2016). Do Goodwill Impairments by European Firms Provide Useful Information to Investors?, Accounting in Europe, 13, 307-327, 2016. https://doi.org/10.1080/17449480.2016.1254348
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