IDEAS home Printed from https://ideas.repec.org/a/spt/apfiba/v13y2023i3f13_3_7.html
   My bibliography  Save this article

Determinants of Bank Management Confidence Level in Indonesia moderated by Bank Scale

Author

Listed:
  • I Ketut Suyasa
  • Adler Haymans Manurung
  • Jhonni Sinaga
  • Amran Manurung

Abstract

This study examines the determinants of management confidence level of listed bank on the Indonesian Stock Exchange. The confidence level referred to confidence in deciding the deposit interest rate given to customers. The lower the interest rate compared to the other, the bank's management is more confident. This means that with lower deposit interest, management remains confident that customers remain loyal. This research used Model Panel Data to estimate determinants Banks Management Confidence Level in Indonesia moderated by Bank Scale. Banking ratio and macroeconomic data for period 2017 and 2021 become variable research in this paper. This research found that CAR and NPL has positive and significant effect on IETDR at level of Significant of 5%. Inflation and COVID have negative and significant effect on IETDR. Bank Scale or Bank Book as moderating variable could strength to IETDR for CAR and NPL.  JEL classification numbers: C33, G21, L25, M21, N25, O16, P34.

Suggested Citation

  • I Ketut Suyasa & Adler Haymans Manurung & Jhonni Sinaga & Amran Manurung, 2023. "Determinants of Bank Management Confidence Level in Indonesia moderated by Bank Scale," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(3), pages 1-7.
  • Handle: RePEc:spt:apfiba:v:13:y:2023:i:3:f:13_3_7
    as

    Download full text from publisher

    File URL: http://www.scienpress.com/Upload/JAFB%2fVol%2013_3_7.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:cup:cbooks:9781108422536 is not listed on IDEAS
    2. Eko Fajar Cahyono & Lina Nugraha Rani & M. Fariz Fadillah Mardianto, 2021. "Determinants Of Indonesian Conventional And Islamic Bank Depositor Trust During The Covid-19 Pandemic," Journal of Islamic Monetary Economics and Finance, Bank Indonesia, vol. 7(Special I), pages 1-32, March.
    3. repec:bla:pacecr:v:23:y:2018:i:2:p:131-149 is not listed on IDEAS
    4. Brooks,Chris, 2019. "Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9781108436823, October.
    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. Eleodor-Alin MIHAI & Corina-Florentina SCARLAT (MIHAI), 2020. "Econometric Models for Quantifying the Impact of Macroeconomic Variables on the Configuration of Banking Assets and Liabilities," Finante - provocarile viitorului (Finance - Challenges of the Future), University of Craiova, Faculty of Economics and Business Administration, vol. 1(22), pages 64-80, November.
    2. Evangelos Vasileiou, 2022. "Inaccurate Value at Risk Estimations: Bad Modeling or Inappropriate Data?," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1155-1171, March.
    3. B M, Lithin & chakraborty, Suman & iyer, Vishwanathan & M N, Nikhil & ledwani, Sanket, 2022. "Modeling asymmetric sovereign bond yield volatility with univariate GARCH models: Evidence from India," MPRA Paper 117067, University Library of Munich, Germany, revised 05 Jan 2023.
    4. Ion Santra, 2022. "Effect of tax dynamics on linearly growing processes under stochastic resetting: a possible economic model," Papers 2202.13713, arXiv.org.
    5. Gunay, Samet, 2020. "Seeking causality between liquidity risk and credit risk: TED-OIS spreads and CDS indexes," Research in International Business and Finance, Elsevier, vol. 52(C).
    6. Shobande Olatunji Abdul & Shodipe Oladimeji Tomiwa, 2020. "Re-Evaluation of World Population Figures: Politics and Forecasting Mechanics," Economics and Business, Sciendo, vol. 34(1), pages 104-125, February.
    7. Leiv Opstad & Randi Hammervold & Johannes Idsø, 2021. "The Influence of Income and Currency Changes on Tourist Inflow to Norwegian Campsites: The Case of Swedish and German Visitors," Economies, MDPI, vol. 9(3), pages 1-13, July.
    8. Yu-lin Huang & Wei Lin, 2010. "Does debt structure matter? Estimating contractor default barrier by the down-and-out call option approach," Construction Management and Economics, Taylor & Francis Journals, vol. 28(9), pages 947-958.
    9. Liang Zhu & Lingxue Zhan & Shaobo (Kevin) Li, 2021. "Is sustainable development reasonable for tourism destinations? An empirical study of the relationship between environmental competitiveness and tourism growth," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 66-78, January.
    10. Javad Shaabani & Ali Akbar Jafari, 2020. "A New Look to Three-Factor Fama-French Regression Model using Sample Innovations," Papers 2006.02467, arXiv.org.
    11. Frimpong, Joseph Magnus & Oteng-Abayie, Eric Fosu, 2006. "Modelling and Forecasting Volatility of Returns on the Ghana Stock Exchange Using GARCH Models," MPRA Paper 593, University Library of Munich, Germany, revised 07 Oct 2006.
    12. Caroline Michere Ndei & Stephen Muchina & Kennedy Waweru, 2019. "Modeling stock market return volatility in the presence of structural breaks: Evidence from Nairobi Securities Exchange, Kenya," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 8(5), pages 156-171, September.
    13. Axelsson, Birger & Song, Han-Suck, 2023. "Univariate Forecasting for REITs with Deep Learning: A Comparative Analysis with an ARIMA Model," Working Paper Series 23/10, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance, revised 14 Nov 2023.
    14. Koray Yıldırım & Neşe Algan & Harun Bal, 2024. "Investment Hysteresis: An Empirical Essay Turkish Case," Evaluation Review, , vol. 48(1), pages 143-176, February.
    15. Brooks, Chris & Williams, Louis, 2022. "When it comes to the crunch: Retail investor decision-making during periods of market volatility," International Review of Financial Analysis, Elsevier, vol. 80(C).
    16. Hossein Tarighi & Zeynab Nourbakhsh Hosseiny & Mohammad Reza Abbaszadeh & Grzegorz Zimon & Darya Haghighat, 2022. "How Do Financial Distress Risk and Related Party Transactions Affect Financial Reporting Quality? Empirical Evidence from Iran," Risks, MDPI, vol. 10(3), pages 1-23, February.
    17. Jose Barrales‐Ruiz & Ivan Mendieta‐Muñoz & Codrina Rada & Daniele Tavani & Rudiger von Arnim, 2022. "The distributive cycle: Evidence and current debates," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 468-503, April.
    18. Nana Guo & Anselm B. M. Fuermaier & Janneke Koerts & Bernhard W. Mueller & Christian Mette & Lara Tucha & Norbert Scherbaum & Oliver Tucha, 2021. "The Role of Self- and Informant-Reports on Symptoms and Impairments in the Clinical Evaluation of Adult ADHD," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    19. Ahmed M. Khedr & Ifra Arif & Pravija Raj P V & Magdi El‐Bannany & Saadat M. Alhashmi & Meenu Sreedharan, 2021. "Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(1), pages 3-34, January.
    20. Olatunji A. Shobande & Simplice A. Asongu, 2022. "Searching for Sustainable Footprints: Does ICT increase CO2 emissions?," Working Papers 22/062, European Xtramile Centre of African Studies (EXCAS).

    More about this item

    Keywords

    Confidence; CAR; NPL; ROA; covid; Inflation; Interest Rate; Customer Satisfaction.;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • N25 - Economic History - - Financial Markets and Institutions - - - Asia including Middle East
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • P34 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions - - - Finance

    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:spt:apfiba:v:13:y:2023:i:3:f:13_3_7. 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: Eleftherios Spyromitros-Xioufis (email available below). General contact details of provider: http://www.scienpress.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.