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Bankruptcy Risk and Income Smoothing Tendency of NBFIs in Bangladesh

Asian Journal of Business Environment / Asian Journal of Business Environment, (P)2765-6934; (E)2765-7027
2021, v.11 no.2, pp.27-38
Shahima JABIN (University of Dhaka)
Shohana Islam SUMONA (University of Dhaka)

Abstract

Purpose: The study mainly investigates bankruptcy risk and income smoothing tendency of Non-Banking Financial Institutions (NBFIs) in Bangladesh. External parties of NBFIs take investment decisions based on financial reports. Stable and predictable income is one of their preference. On the other hand, poor income is one of the signs of NBFIs having bankruptcy risk. Hence the study tries to find whether the NBFIs having bankruptcy are involved in income smoothing or not. Research design, data and methodology: Data were collected from the annual report of twenty-two listed NBFIs in Bangladesh. Data from 2013 to 2017 were used. Altman’s Z score and Eckel’s model are used to detecting bankruptcy risk and income smoothing respectively. Results: Result implies that most of the NBFIs which have bankruptcy risk are not involved in income smoothing. Therefore, NBFIs which has bankruptcy risk are involved less with income smoothing. Conclusions: The present study revealed that most of the listed NBFIs in Bangladesh are facing bankruptcy risk. They didn’t use any fraudulent technique to show smooth income. The findings will help the investor to take an investment decision on NBFIs in Bangladesh. It will convey signals to the stock market in Bangladesh

keywords
Risk and Financial Environment, Income Smoothing, Bankruptcy Risk, Accounting Technique, Poor Income.

Reference

1.

Acharya, V., & Lambrecht, B. (2012). A Theory of Income Smoothing When Insiders Know More than Outsiders. SSRN Electronic Journal.

2.

Albrecht, W., & Richardson, F. (1990). INCOME SMOOTHING BY ECONOMY SECTOR. Journal of Business Finance & Accounting, 17(5), 713-730.

3.

Aleksanyan, L., & Huiban, J. (2016). Economic and financial determinants of firm bankruptcy: evidence from the French food industry. Review of Agricultural, Food, and Environmental Studies, 97(2), 89-108.

4.

Altman, E. (1983). Discussion. The Journal of Finance, 38(2), 517-522.

5.

Ashari, N., Koh, H., Tan, S., & Wong, W. (1994). Factors Affecting Income Smoothing Among Listed Companies in Singapore. Accounting and Business Research, 24(96), 291-301.

6.

Atik, A. (2009). Detecting income-smoothing behaviours of Turkish listed companies through empirical tests using discretionary accounting changes. Critical Perspectives on Accounting, 20(5), 591-613.

7.

Bangladesh Bank. (2013). Guidelines on Products & Services of Financial Institutions in Bangladesh. Bangladesh: Bangladesh Bank. Retrieved from http://www.bangladeshbank.org/aboutus/regulationguideline/dfim/product_service_2013.pdf.

8.

Chen, C., J. Kim, & Yao, L. (2017). Earnings smoothing: Does it exacerbate or constrain stock price crash risk?. Journal of Corporate Finance, 42, 36-54.

9.

Dang, H., Nguyen, T., & Tran, D. (2020). The Impact of Earnings Quality on Firm Value: The Case of Vietnam. The Journal Of Asian Finance, Economics And Business, 7(3), 63-72. https://doi.org/10.13106/jafeb.2020.vol7.no3.63

10.

Eckel, N. (1981). The Income Smoothing Hypothesis Revisited. Abacus, 17(1), 28-40.

11.

Gassen, J., & Fülbier, R. (2015). Do Creditors Prefer Smooth Earnings? Evidence from European Private Firms. Journal of International Accounting Research, 14(2), 151-180.

12.

Habib, A. (2005). Firm-Specific Determinants of Income Smoothing in Bangladesh: An Empirical Evaluation. Advances in International Accounting, 18, 53-71.

13.

Hamid, T., Akter, F., & Rab, N. (2016). Prediction of Financial Distress of Non-Bank Financial Institutions of Bangladesh using Altman’s Z Score Model. International Journal of Business and Management, 11(12), 261.

14.

Hejazi, R., Ansari, Z., Sarikhani, M., & Ebrahimi, F. (2012). The impact of earnings quality and income smoothing on the performance of companies listed in Tehran stock exchange. International Journal of Business and Social Science, 2 (17), 193-197.

15.

Huang, P., Y. Zhang, D. Deis, & Moffitt, J. (2009). Do artificial income smoothing and real income smoothing contribute to firm value equivalently?. Journal of Banking & Finance, 33(2), 224-233.

16.

Huang, S., C. Lyu, & Lin, X. (2018). Is Labor Related to the Duality of Earnings Smoothing?. Sustainability, 10(12), 4396.

17.

Kirschenheiter, M., & Melumad, N. (2002). Can "Big Bath" and Earnings Smoothing Co- exist as Equilibrium Financial Reporting Strategies?. Journal of Accounting Research, 40(3), 761-796.

18.

Korol, T. (2017). Evaluation of the factors influencing business bankruptcy risk in Poland. e- Finanse, 13(2), 22-35.

19.

Kustono, A., Roziq, A., & Nanggala, A. (2021). Earnings Quality and Income Smoothing Motives: Evidence from Indonesia. The Journal Of Asian Finance, Economics And Business, 8(2), 821-832.https://doi.org/https://doi.org/10.13106/jafeb.2021.vol8.no2.0821 [Accessed 14 June 2021].

20.

Moses, O. (1987). Income smoothing and incentives: Empirical tests using accounting changes. The Accounting Review, 62(2), 358–377. http://www.jstor.org/stable/247931 [Accessed 14 June 2020].

21.

Rahman, M., Saima, F., & Jahan, K. (2020). The Impact of Financial Leverage on Firm’s Profitability: An Empirical Evidence from Listed Textile Firms of Bangladesh. Journal Of Business Economics And Environmental Studies, 10(2), 23-31. https://doi.org/10.13106/jbees.2020.vol10.no2.23

22.

Shabani, N., & Sofian, S. (2018). Earnings Smoothing and Bankruptcy Risk in Liquidating Private Firms. Asian Journal of Finance & Accounting, 10(1), 162.

23.

Sun, J., H. Li, Q. Huang, & He, K. (2014). Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches. Knowledge-Based Systems, 57, 41-56.

24.

Vaziri, M., R. Bhuyan, & Manue, P. (2012). Alarming Factors in the predictability of failure of financial institutions. International Journal of Business & Technology, 1(1), 2-10.

25.

Ullah, H., Wang, Z., Ghazanfar Abbas, M., Fan, A., & Umeair, Z. (2021). Association of Financial Distress and Predicted Bankruptcy: The Case of Pakistani Banking Sector. The Journal of Asian Finance, Economics And Business, 18(1), 573-585.

Asian Journal of Business Environment