The Contexts Genealogy of the Toxic Assets Emergence in Capital Market Companies: The Application of a Paradigmatic Framework

Document Type : Original Article

Authors

1 Ph.D. Candidate, Department of Accounting, Shahrood Branch, Islamic Azad University, Shahrood, Iran

2 Associate Professor, Department of Accounting, Shahrood Branch, Islamic Azad University, Shahroud, Iran

3 Assistant Professor, Department of Accounting, Shahrood Branch, Islamic Azad University, Shahroud, Iran

10.48308/jfmp.2024.105029

Abstract

Purpose: Financial crises have long been associated with the emergence of toxic assets in commercial companies that are significantly active in capital markets. Toxic assets, by definition, are those whose market value is lower than their nominal or recorded value in financial statements due to their lack of trading appeal. These assets are often challenging to evaluate and remain concealed within the complex financial operations of companies. Over time, the accumulation of such assets poses serious risks to capital market companies, exposing them to potential stock price crashes. Given the importance of understanding the underlying causes of toxic asset accumulation, this study aims to investigate the genealogy of the contexts in which toxic assets emerge in capital market companies, utilizing a paradigmatic framework for analysis.
Method: This study employs a multi-step approach, beginning with a series of expert interviews to identify the underlying nature of toxic assets. The questions posed during the interviews were carefully adjusted based on the specific conditions of each session and the insights provided by the participants. This iterative adjustment ensured that the interviews remained focused on the core phenomenon under investigation. A detailed protocol outlining the study's primary themes was developed to guide the interviews, facilitating the extraction of open codes. These open codes were then analyzed and refined based on patterns of repetition and conceptual similarity. The refined codes were transformed into propositional themes, enabling a deeper understanding of the phenomenon under investigation. To apply the paradigmatic framework as a methodological foundation, the study involved empiricists who participated in this analytical process. Subsequently, a focal group was established to evaluate the identified propositions. Using a hierarchical checklist, each statement was systematically categorized into specific types, aligning with the semantic structure of the paradigmatic model. This rigorous approach ensured that the findings were grounded in a structured analytical framework.
Findings: In the qualitative phase, after eliminating redundancies and similar open codes, 51 contextual propositions were identified. These propositions were cross-referenced with related research to validate their relevance and ensure their applicability to the subsequent stages of the study. In the quantitative phase, the paradigmatic framework categorized the 51 contextual propositions into five distinct domains: causal conditions, contextual factors, intervening conditions, strategies, and consequences. This categorization provided a comprehensive view of the factors contributing to the emergence of toxic assets.
Conclusion: The results highlight that toxic asset emergence is influenced by a wide range of factors, from managerial functions to broader economic and structural aspects. While strategies such as information concealment or the positive persuasion of stakeholders’ informational needs may temporarily mitigate the negative effects of toxic assets, their prolonged accumulation often results in a cascade of negative consequences. Companies face increased risks of stock price crashes due to delayed information dissemination and the subsequent surge of negative news. Additionally, delays in selling these assets, even at prices below their nominal value, exacerbate financial losses due to the lack of a suitable trading market. These findings underscore the critical need for proactive strategies to address toxic asset accumulation, thereby minimizing risks and safeguarding financial stability.

Keywords


Afra, H., Fiez Abadi, R. (2013). Genealogy of the concept of identity in the political discourses of contemporary Iran, Journal of Social Sciences, 10(1): 1-32. (In Persian)
Alaughaily, E. A. J., & Khalawy, S. J. (2022). The Role of Toxic Assets in the Decline in the Market Value of Shares of the Iraqi Banking Sector. Kut University College Journal for Humanitarian Science, 3(1): 138-151.
Armantier, O., Holt, Ch, A. and Plott, Ch, R. (2013). A Procurement Auction for Toxic Assets with Asymmetric Information, American Economic Journal: Microeconomics, 5(4): 142-162.
Ashouri, S. (2023). Government strategies in dealing with asset price bubbles, "Economic Security, Scientific Monthly, 10(10): 29-40. (In Persian)
Bashir, I. and Qureshi, I.H. (2023). Examining theories, mediators and moderators in financial well-being literature: a systematic review and future research agenda, Qualitative Research in Organizations and Management, 18(4): 265-290. https://doi.org/10.1108/QROM-04-2022-2314
Bhansali, V. and Wise, M, B. (2009). How Valuable Are the TALF Puts?, Journal of Fixed Income, 19(3): 71–75.
Bond, Ph. and Leitner, Y. (2015). Market run-ups, market freezes, inventories, and leverage, Journal of Financial Economics, 115(1): 155-167. https://doi.org/10.1016/j.jfineco.2014.08.008
Brown, Ch. and Abraham, F. (2012). Sum of Perpetuities Method for Valuing Stock Prices, Journal of Economic Insight, 38(1): 59-72
Corelli, A. (2019). Financial Crisis and Securitization, Understanding Financial Risk Management, Second Edition, Emerald Publishing Limited, Leeds, pp. 419-454. https://doi.org/10.1108/978-1-78973-791-220192020
Fatica, S. (2018). Business capital accumulation and the user cost: Is there a heterogeneity bias?, Journal of Macroeconomics, 56(4): 15-34. https://doi.org/10.1016/j.jmacro.2017.12.004
Gaballo, G. and Marimon, R. (2022). Breaking the Spell with Credit-Easing: Self-Confirming Credit Crises in Competitive Search Economies. Social Science Research Network Working Paper. Available online: https://ssrn.com/abstract=2736082
Garvin, N. (2024). Emergency liquidity injections, International Review of Economics & Finance, 89(1): 1496-1513. https://doi.org/10.1016/j.iref.2023.08.016
Goyal, P. and Soni, P. (2024). Stock markets volatility during crises periods: a bibliometric analysis, Qualitative Research in Financial Markets, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/QRFM-06-2023-0143
Gu, Ch., Menzio, G., Wright, R., Zhu, Y. (2020). Toxic Assets and Market Freezes, Working Papers, Department of Economics, University of Missouri.
House, Ch, L. and Masatlioglu, Y. (2015). Managing Markets for Toxic Assets, Journal of Monetary Economics, 70(4): 84-99. https://doi.org/10.1016/j.jmoneco.2014.10.001
Husserl E. (1970). The crisis of European sciences and transcendental phenomenology: An introduction to phenomenological philosophy. Northwestern University Press.
Ikeda, D. and Phan, T. (2017). Toxic Asset Bubbles. Economic Theory, 61(2): 241-271. http://dx.doi.org/10.2139/ssrn.2532146
Kluger, B.D. (2022). Asset market bubbles in an experiment with sequential information releases, Review of Behavioral Finance, 14(5): 772-790. https://doi.org/10.1108/RBF-11-2020-0280
Leitner (2011) .Why Do Markets Freeze?, Business Review, Federal Reserve Bank of Philadelphia, 2(2): 12-19.
Longstaff, F, A. and Myers, B, W. (2016). How Does the Market Value Toxic Assets?, Journal of Financial and Quantitative Analysis, 49(2): 297-319
Martin, G. (2019). Financing conditions and toxic emissions, SAFE Working Paper, 254(2): 1-13. http://dx.doi.org/10.2139/ssrn.3411137
Moulton, J, G., Sanders, N, J., Wentland, S, A. (2023). Toxic Assets: How the Housing Market Responds to Environmental Information Shocks, Land Economics, 100(1): 102-122. https://doi.org/10.3368/le.100.1.102122-0089
Naboureh, Kh., Makui, A., Sajadi, S, F. (2022). Online hybrid Dutch auction approach for selling toxic assets under asymmetric bidders and the possibility of collusion, Electronic Commerce Research and Applications, 53(2): 101-136. https://doi.org/10.1016/j.elerap.2022.101142
Namdi, D., Okubote, A., Osinubi, O. and Onele, J. (2018). Troubled Assets Resolution: In Search of the Best Approach? 9(1): 1-10, https://ssrn.com/abstract=3152211
Nuruzzaman, N.; Singh, D., & Gaur, A. S. (2020). Institutional support, hazards, and internationalization of emerging market firms. Global Strategy Journal, 10(2): 361-385.
Olapade, D.T., Ekemode, B.G. and Olaleye, A. (2019). Considerations for the design and management of property database in opaque markets: Viewpoints from Lagos, Nigeria, Journal of Property Investment & Finance, 37(5): 445-454. https://doi.org/10.1108/JPIF-10-2018-0080
Sanders, N, J. (2015). Toxic Assets: How the Housing Market Responds to Environmental Information Shocks, The College of William & Mary, 1-219.
Sehgal, G., Alam Khan, P., Thakur, B. (2024). Bad Bank Strategy: Addressing Toxic Assets In The Banking Sector, Journal of Namibian Studies: History Politics Culture, 36(2): 250-263. https://doi.org/10.59670/nbbxy123
Sohibien, G, P, D., Laome, L., Choiruddin, A. and Kuswanto, H. (2022). COVID-19 Pandemic’s Impact on Return on Asset and Financing of Islamic Commercial Banks: Evidence from Indonesia, Sustainability, 14(3): 11-28. https://doi.org/10.3390/su14031128
Solymosi, T. (2023). Sensitivity of fair prices in assignment markets, Mathematical Social Sciences, 126(2): 1-12. https://doi.org/10.1016/j.mathsocsci.2023.09.003
Souzanchi, H., Abdi, H., Islamitanha, A., & Hajmohamadi, H. (2018). A Critical Review of the Construct of Meanings in Genealogy from the Perspective of Islamic Wisdom. Journal of Islam and Social Studies, 6(23): 7-29. (In Persian)
Tabash, M, I., Chalissery, N., Nishad, T, M. and Al-Absy, M, S, M. (2024). Market Shocks and Stock Volatility: Evidence from Emerging and Developed Markets, International Journal of Financial Studies, 12(1/2): 69-94. https://doi.org/10.3390/ijfs12010002
Tsomaia, A. (2021). Asset bubbles, financial sector, and current challenges to regulatory framework, International Economics and Economic Policy, 18(1): 901-925. https://doi.org/10.1007/s10368-021-00508-3
Ugwueze, S, A., Onyekwelu, U, L., and Nwankwo, C. N. (2021). Effect of Toxic Asset on Financial Performance of Commercial Banks in Nigeria, Journal of Accounting Information and Innovation, 5(9): 61-89.
Vega, J.G., Smolarski, J. and Yin, J. (2020). Troubled Asset Relief Program and earnings informativeness, Asian Review of Accounting, 28(1): 48-68. https://doi.org/10.1108/ARA-12-2018-0227
Wang, Ch. (2022). Asset bubbles and frictional intermediation, Economic Theory, 76(1): 921-961. https://doi.org/10.1007/s00199-022-01482-w
Wilson, L. (2010b). Slicing the Toxic Pizza, an Analysis of FDIC’s Legacy Loans Program for Receivership Assets. International Journal of Monetary Economics and Finance, 3(1): 300-309.
Wilson, L. (2011). A Binomial Model of Geithner’s Toxic Asset Plan. Journal of Economics and Business, 65(1): 349–71.
Wilson, L. (2023). Toxic Asset Subsidies and the Early Redemption of TALF Loans, International Journal of Financial Studies, 10(2): 23-41. https://doi.org/10.3390/ijfs10020023
Zhou, N. (2020). Discussion of Troubled Asset Relief Program and earnings informativeness, Asian Review of Accounting, 28(2): 147-152. https://doi.org/10.1108/ARA-10-2019-0187