IDEAS home Printed from https://ideas.repec.org/a/eco/journ1/2017-03-72.html
   My bibliography  Save this article

Investigating Risk Effect and Profit Management on Bank Credit Risk

Author

Listed:
  • Seyedeh Mahtab Farhadvand

    (Department of Accounting, Collage of Humanities, Kermanshah Science and Research Branch, Islamic Azad University, Kermanshah, Iran,)

  • Omid Jalilian

    (Department of accounting Kermanshah Branch, Islamic Azad University, Kermanshah, Iran.)

Abstract

The aim of this research is to investigate risk effect and profit management on bank credit risk. The research population are the accepted banks in Tehran stock exchange during one quinquennial from 2010 to 2014. Finally, 18 corporations information were gathered based on the research limitations by systematic deletion method. The research is an applicational one in term of its aim, is post eventual based on the historical information and its deductive methodology is apriority and correlative. The research includes four main hypotheses and two subordinate hypotheses. To investigate research hypotheses, linear regression and correlation are used. Moreover, Eviews software is used to analyze research data and hypotheses. After designing of the research hypotheses in division of each hypothesis, these conclusions have received. Bank risk and profit management have positive meaningful effect on credit risk. In addition there is a positive meaningful relationship between corporation risk and profit management. Although, there is no positive meaningful effect between bank credit and profit management on credit risk.

Suggested Citation

  • Seyedeh Mahtab Farhadvand & Omid Jalilian, 2017. "Investigating Risk Effect and Profit Management on Bank Credit Risk," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 548-554.
  • Handle: RePEc:eco:journ1:2017-03-72
    as

    Download full text from publisher

    File URL: http://www.econjournals.com/index.php/ijefi/article/download/4857/pdf
    Download Restriction: no

    File URL: http://www.econjournals.com/index.php/ijefi/article/view/4857/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Castro, Vítor, 2013. "Macroeconomic determinants of the credit risk in the banking system: The case of the GIPSI," Economic Modelling, Elsevier, vol. 31(C), pages 672-683.
    2. Wang, Junbo & Wu, Chunchi, 2015. "Liquidity, credit quality, and the relation between volatility and trading activity: Evidence from the corporate bond market," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 183-203.
    3. Lin, Yi-Mien & Shen, Cheng-An, 2015. "Family firms' credit rating, idiosyncratic risk, and earnings management," Journal of Business Research, Elsevier, vol. 68(4), pages 872-877.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Katuka, Blessing, 2017. "Credit risk dynamics in listed local banks in Zimbabwe (2009-2013)," MPRA Paper 92687, University Library of Munich, Germany, revised 2017.
    2. Muhammad Waqas & Nudrat Fatima & Aryan Khan & Muhammad Arif, 2017. "Determinants of Non-performing Loans: A Comparative Study of Pakistan, India, and Bangladesh," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 6(1), pages 51-68, January.
    3. Erdemlioglu, Deniz & Petitjean, Mikael & Vargas, Nicolas, 2021. "Market instability and technical trading at high frequency: Evidence from NASDAQ stocks," Economic Modelling, Elsevier, vol. 102(C).
    4. Martin Guth, 2022. "Predicting Default Probabilities for Stress Tests: A Comparison of Models," Papers 2202.03110, arXiv.org.
    5. Isma il Tijjani Idris & Sabri Nayan, 2017. "A Pooled Mean Group Approach to the Joint Effects of Oil Price Changes and Environmental Risks on Non-Performing Loans: Evidence from Organisation of the Petroleum Exporting the Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 345-351.
    6. Ismail Tijjani Idris & Sabri Nayan, 2016. "The Moderating Role of Loan Monitoring on the Relationship between Macroeconomic Variables and Non-performing Loans in Association of Southeast Asian Nations Countries," International Journal of Economics and Financial Issues, Econjournals, vol. 6(2), pages 402-408.
    7. Wendler, Tobias & Töbelmann, Daniel & Günther, Jutta, 2021. "Natural resources and technology - on the mitigating effect of green tech," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242416, Verein für Socialpolitik / German Economic Association.
    8. Mustafa Tevfik Kartal & Derviş Kirikkaleli & Fatih Ayhan, 2023. "Nexus between non‐performing loans and economic growth in emerging countries: Evidence from Turkey with wavelet coherence approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1250-1260, April.
    9. Anastasios Petropoulos & Vasilis Siakoulis & Dionysios Mylonas & Aristotelis Klamargias, 2018. "A combined statistical framework for forecasting default rates of Greek Financial Institutions' credit portfolios," Working Papers 243, Bank of Greece.
    10. Brei, Michael & Jacolin, Luc & Noah, Alphonse, 2020. "Credit risk and bank competition in Sub-Saharan Africa," Emerging Markets Review, Elsevier, vol. 44(C).
    11. Richard Chamboko & Jorge M. Bravo, 2016. "On the modelling of prognosis from delinquency to normal performance on retail consumer loans," Risk Management, Palgrave Macmillan, vol. 18(4), pages 264-287, December.
    12. Jaspreet Kaur & Madhu Vij & Ajay Kumar Chauhan, 2023. "Signals influencing corporate credit ratings—a systematic literature review," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 50(1), pages 91-114, March.
    13. Tobias Wendler, 2019. "About the Relationship Between Green Technology and Material Usage," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 1383-1423, November.
    14. Adomako, Samuel & Amankwah-Amoah, Joseph & Tarba, Shlomo Y. & Khan, Zaheer, 2021. "Perceived corruption, business process digitization, and SMEs’ degree of internationalization in sub-Saharan Africa," Journal of Business Research, Elsevier, vol. 123(C), pages 196-207.
    15. Liu, Mingzhi & Shi, Yulin & Wilson, Craig & Wu, Zhenyu, 2017. "Does family involvement explain why corporate social responsibility affects earnings management?," Journal of Business Research, Elsevier, vol. 75(C), pages 8-16.
    16. Iulia Andreea Bucur & Simona Elena Dragomirescu, 2014. "The Influence Of Macroeconomic Conditions On Credit Risk: Case Of Romanian Banking System," Studies and Scientific Researches. Economics Edition, "Vasile Alecsandri" University of Bacau, Faculty of Economic Sciences, issue 19.
    17. Vuslat Us, 2017. "A dynamic approach to analysing the effect of the global crisis on nonperforming loans: evidence from the Turkish banking sector," Applied Economics Letters, Taylor & Francis Journals, vol. 24(3), pages 186-192, February.
    18. Aleksandra Ostrowska, 2023. "Makroekonomiczne determinanty jakości kredytów dla sektora niefinansowego w Polsce," Bank i Kredyt, Narodowy Bank Polski, vol. 54(5), pages 541-556.
    19. Aleš Melecký & Martin Melecký & Monika Šulganová, 2015. "Úvěry v selhání a makroekonomika: modelování systémového kreditního rizika v České republice [Non-Performing Loans and The Macroeconomy: Modeling the Systemic Credit Risk in the Czech Republic]," Politická ekonomie, Prague University of Economics and Business, vol. 2015(8), pages 921-947.
    20. Yi-Shu Wang & Ting-Chen & Zhen-Jia-Liu, 2020. "The Relationship between Accounting Information Quality and Idiosyncratic Volatility: An Empirical Study on Chinese A-Share Listed Companies," Eurasian Journal of Business and Management, Eurasian Publications, vol. 8(2), pages 150-166.

    More about this item

    Keywords

    Credit Risk; Profit Management; Commercial Banks Risks;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eco:journ1:2017-03-72. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.