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Impact of Macroeconomic Condition on Credit Card Default in Emerging Economy: Empirical Evidence from Indonesia

Received: 27 March 2020    Accepted: 29 April 2020    Published: 15 May 2020
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Abstract

Indonesia is a developing country with the fourth largest population in the world. Household consumption is still the main pillar of national economic growth in Indonesia. One sector that has an important role in national economic growth is banking. Bank carries out an intermediary function that directly or indirectly can encourage the real sector. A credit card is one of the banking products that can encourage growth in household consumption to support the growth of the real sector. However, on the other hand, the credit card is an unsecured consumer loan. This indicates the bank will have a greater percentage of losses than other types of credit if the borrower default. Therefore, the growth of credit card business must be balanced with good credit quality for the safety and soundness of the banking sector. Credit quality can be measured using a Non-Performing Loan (NPL) that reflects credit default risk. This study aimed to analyze the impact of the macroeconomic condition on credit card default which is proxied by credit card NPL ratio. NPL data obtained from Indonesia's biggest private bank with cardholders that are widespread on every island and have average card growth, transaction value, and outstanding credit card were above the national average. ARDL Cointegration model is used to determine macroeconomic variables that significantly affect credit card NPL. This study was found that exchange rate and interest rate variables partially have a significant influence on the credit card NPL in the long-term. ARDL model can be used as an early warning indicator of the condition of Bank credit card NPL if there is a shock to macroeconomic variables and the model can be used to improve the feasibility analysis tool for new cardholders (credit scoring system) and an indicator of behavior scoring system for existing cardholders.

Published in International Journal of Finance and Banking Research (Volume 6, Issue 3)
DOI 10.11648/j.ijfbr.20200603.11
Page(s) 37-43
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

ARDL Model, Credit Card, Macroeconomic, Non-Performing Loan

References
[1] Wilson, Sy. (2007). A Causal Framework for Credit Default Theory. Australian Prudential Regulation Authority.
[2] Kim, Hyeongjun, Cho, Hoon and Ryu, Doojin. (2018). An Empirical Study on Credit Card Loan Delinquency. Economic Systems, 42 (3): 437-449.
[3] Li, Yingying, Li, Ying and Li, Yan. (2019). What Factors are Influencing Credit Card Customer’s Default Behavior in China? A study based on survival analysis. Physica A: Statistical Mechanics and Its Applications, 526 (2019): 1-11.
[4] Pettiford, Keith R. (2011). Risk Management and Business Strategy: Macro-Economic Factors Predictive of the Consumer Credit Card Charge-Off Rate [Dissertation]. New Castle: Wilmington University.
[5] Hasan, M. Z. (2019). Causality Between GPD Growth and Non-Performing Loans in Bangladesh: A Toda-Yamamoto Approach. International Journal of Finance and Banking Research, 5 (5): 126-131.
[6] Bellotti, Tonny and Crook, Jonathan. (2009). Credit Scoring with Macroeconomic Variables Using Survival Analysis. The Journal of The Operational Research Society, 60 (12): 1699-1707.
[7] Bellotti, Tonny and Crook, Jonathan. (2013). Forecasting and Stress Testing Credit Card Default Using Dynamic Models. International Journal of Forecasting, 29 (2013): 563–574.
[8] Agarwal, Sumit and Liu, Chunlin. (2003). Determinants of Credit Card Delinquency and Bankruptcy: Macroeconomic Factors. Journal of Economics and Finance, 27 (1): 76-84.
[9] Bellotti, Tonny and Crook, Jonathan. (2012). Loss Given Default Models Incorporating Macroeconomic Variables for Credit Cards. International Journal of Forecasting, 28 (2012): 171–182.
[10] Soh, Weini. (2019). Non-Performing Loan and Economic Determinants in Asia-Pacific Countries: Evidence from Credit Card Debt. International Journal of Recent Technology and Engineering, 7 (16): 9-14.
[11] Gross, David B. and Souleles, Nicholas S. (2002). An Empirical Analysis of Personal Bankruptcy and Delinquency. The Review of Financial Studies., 15 (1): 319-347.
[12] Maruli, Jonathan. (2010). Variabel Makroekonomi yang Berpengaruh terhadap Tingkat Non-Performing Loan Kartu Kredit (Studi Kasus di Bank X) [Tesis]. Jakarta: Universitas Indonesia.
[13] Gujarati, Damodar N. and Porter, Dawn C. (2012). Dasar-Dasar Ekonometrika: Edisi 5. Jakarta [ID]: Salemba Empat.
[14] Nkoro, Emeka and Uko, Aham Kelvin. (2016). Autoregressive Distributed Lag (ARDL) cointegration technique: application and interpretation. Journal of Statistical and Econometric Methods, 5 (4): 63-91.
[15] Pesaran, M. Hashem and Shin, Yongcheol. (1995). An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis. Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium.
[16] Pesaran, M Hashem, Shin, Yongcheol and Smith, Richard J. (2001). Bound Testing Approaches to the Analysis of Level Relationships. Journal of Applied Econometrics, 16 (2001): 289-326.
[17] Brown, R. L., Durbin, J. and Evan, J. M. (1975). Techniques for Testing the Constancy of Regression Relationships over Time. Journal of the Royal Statistical Society Series B (Methodological), 37 (2): 149-192.
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  • APA Style

    Wahid Achsan, Noer Azam Achsani, Bayu Bandono. (2020). Impact of Macroeconomic Condition on Credit Card Default in Emerging Economy: Empirical Evidence from Indonesia. International Journal of Finance and Banking Research, 6(3), 37-43. https://doi.org/10.11648/j.ijfbr.20200603.11

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    ACS Style

    Wahid Achsan; Noer Azam Achsani; Bayu Bandono. Impact of Macroeconomic Condition on Credit Card Default in Emerging Economy: Empirical Evidence from Indonesia. Int. J. Finance Bank. Res. 2020, 6(3), 37-43. doi: 10.11648/j.ijfbr.20200603.11

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    AMA Style

    Wahid Achsan, Noer Azam Achsani, Bayu Bandono. Impact of Macroeconomic Condition on Credit Card Default in Emerging Economy: Empirical Evidence from Indonesia. Int J Finance Bank Res. 2020;6(3):37-43. doi: 10.11648/j.ijfbr.20200603.11

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  • @article{10.11648/j.ijfbr.20200603.11,
      author = {Wahid Achsan and Noer Azam Achsani and Bayu Bandono},
      title = {Impact of Macroeconomic Condition on Credit Card Default in Emerging Economy: Empirical Evidence from Indonesia},
      journal = {International Journal of Finance and Banking Research},
      volume = {6},
      number = {3},
      pages = {37-43},
      doi = {10.11648/j.ijfbr.20200603.11},
      url = {https://doi.org/10.11648/j.ijfbr.20200603.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijfbr.20200603.11},
      abstract = {Indonesia is a developing country with the fourth largest population in the world. Household consumption is still the main pillar of national economic growth in Indonesia. One sector that has an important role in national economic growth is banking. Bank carries out an intermediary function that directly or indirectly can encourage the real sector. A credit card is one of the banking products that can encourage growth in household consumption to support the growth of the real sector. However, on the other hand, the credit card is an unsecured consumer loan. This indicates the bank will have a greater percentage of losses than other types of credit if the borrower default. Therefore, the growth of credit card business must be balanced with good credit quality for the safety and soundness of the banking sector. Credit quality can be measured using a Non-Performing Loan (NPL) that reflects credit default risk. This study aimed to analyze the impact of the macroeconomic condition on credit card default which is proxied by credit card NPL ratio. NPL data obtained from Indonesia's biggest private bank with cardholders that are widespread on every island and have average card growth, transaction value, and outstanding credit card were above the national average. ARDL Cointegration model is used to determine macroeconomic variables that significantly affect credit card NPL. This study was found that exchange rate and interest rate variables partially have a significant influence on the credit card NPL in the long-term. ARDL model can be used as an early warning indicator of the condition of Bank credit card NPL if there is a shock to macroeconomic variables and the model can be used to improve the feasibility analysis tool for new cardholders (credit scoring system) and an indicator of behavior scoring system for existing cardholders.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Impact of Macroeconomic Condition on Credit Card Default in Emerging Economy: Empirical Evidence from Indonesia
    AU  - Wahid Achsan
    AU  - Noer Azam Achsani
    AU  - Bayu Bandono
    Y1  - 2020/05/15
    PY  - 2020
    N1  - https://doi.org/10.11648/j.ijfbr.20200603.11
    DO  - 10.11648/j.ijfbr.20200603.11
    T2  - International Journal of Finance and Banking Research
    JF  - International Journal of Finance and Banking Research
    JO  - International Journal of Finance and Banking Research
    SP  - 37
    EP  - 43
    PB  - Science Publishing Group
    SN  - 2472-2278
    UR  - https://doi.org/10.11648/j.ijfbr.20200603.11
    AB  - Indonesia is a developing country with the fourth largest population in the world. Household consumption is still the main pillar of national economic growth in Indonesia. One sector that has an important role in national economic growth is banking. Bank carries out an intermediary function that directly or indirectly can encourage the real sector. A credit card is one of the banking products that can encourage growth in household consumption to support the growth of the real sector. However, on the other hand, the credit card is an unsecured consumer loan. This indicates the bank will have a greater percentage of losses than other types of credit if the borrower default. Therefore, the growth of credit card business must be balanced with good credit quality for the safety and soundness of the banking sector. Credit quality can be measured using a Non-Performing Loan (NPL) that reflects credit default risk. This study aimed to analyze the impact of the macroeconomic condition on credit card default which is proxied by credit card NPL ratio. NPL data obtained from Indonesia's biggest private bank with cardholders that are widespread on every island and have average card growth, transaction value, and outstanding credit card were above the national average. ARDL Cointegration model is used to determine macroeconomic variables that significantly affect credit card NPL. This study was found that exchange rate and interest rate variables partially have a significant influence on the credit card NPL in the long-term. ARDL model can be used as an early warning indicator of the condition of Bank credit card NPL if there is a shock to macroeconomic variables and the model can be used to improve the feasibility analysis tool for new cardholders (credit scoring system) and an indicator of behavior scoring system for existing cardholders.
    VL  - 6
    IS  - 3
    ER  - 

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Author Information
  • School of Business, IPB University, Bogor, Indonesia

  • School of Business, IPB University, Bogor, Indonesia

  • School of Business, IPB University, Bogor, Indonesia

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