IDEAS home Printed from https://ideas.repec.org/h/bis/bisbpc/22-24.html

Macroeconomic conditions and banking performance in Hong Kong SAR: a panel data study

In: Investigating the relationship between the financial and real economy

Author

Listed:
  • Stefan Gerlach

    (Hong Kong Monetary Authority)

  • Wensheng Peng

    (Hong Kong Monetary Authority)

  • Chang Shu

    (Hong Kong Monetary Authority)

Abstract

No abstract is available for this item.

Suggested Citation

  • Stefan Gerlach & Wensheng Peng & Chang Shu, 2005. "Macroeconomic conditions and banking performance in Hong Kong SAR: a panel data study," BIS Papers chapters, in: Bank for International Settlements (ed.), Investigating the relationship between the financial and real economy, volume 22, pages 481-97, Bank for International Settlements.
    • Handle: RePEc:bis:bisbpc:22-24
    as

    Download full text from publisher

    File URL: http://www.bis.org/publ/bppdf/bispap22x.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    2. Gerlach, Stefan & Peng, Wensheng, 2005. "Bank lending and property prices in Hong Kong," Journal of Banking & Finance, Elsevier, vol. 29(2), pages 461-481, February.
    3. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    4. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    5. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    6. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    7. Demirguc, Asli & Huizinga, Harry, 1999. "Determinants of Commercial Bank Interest Margins and Profitability: Some International Evidence," The World Bank Economic Review, World Bank, vol. 13(2), pages 379-408, May.
    8. Kwan, Simon H., 2006. "The X-efficiency of commercial banks in Hong Kong," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1127-1147, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dilesha Nawadali Rathnayake & Yang Bai & Pierre Axel Louembé & Li Qi, 2022. "Interest Rate Liberalization and Commercial Bank Performance: New Evidence From Chinese A-Share Banks," SAGE Open, , vol. 12(2), pages 21582440221, May.
    2. Chun-Yu Ho, 2010. "Deregulation, competition and consumer welfare in a banking market: evidence from Hong Kong," Journal of Regulatory Economics, Springer, vol. 37(1), pages 70-97, February.
    3. Chortareas, Georgios & Magkonis, Georgios & Zekente, Kalliopi-Maria, 2020. "Credit risk and the business cycle: What do we know?," International Review of Financial Analysis, Elsevier, vol. 67(C).
    4. Teodor Hada & Nicoleta Bărbuță-Mișu & Iulia Cristina Iuga & Dorin Wainberg, 2020. "Macroeconomic Determinants of Nonperforming Loans of Romanian Banks," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    5. David Rodgers, 2015. "Credit Losses at Australian Banks: 1980–2013," RBA Research Discussion Papers rdp2015-06, Reserve Bank of Australia.
    6. 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.
    7. Kelvin Fan & Wensheng Peng, 2005. "Real estate indicators in Hong Kong SAR," BIS Papers chapters, in: Bank for International Settlements (ed.), Real estate indicators and financial stability, volume 21, pages 124-38, Bank for International Settlements.
    8. Lotte Schou-Zibell & Jose Ramon Albert & Lei Lei Song, 2010. "A Macroprudential Framework for Monitoring and Examining Financial Soundness," Working Papers on Regional Economic Integration 43, Asian Development Bank.
    9. Mario Quagliariello, "undated". "Banks' Performance over the Business Cycle: A Panel Analysis on Italian Intermediaries," Discussion Papers 04/17, Department of Economics, University of York.
    10. Kanas, Angelos & Molyneux, Philip, 2018. "Macro stress testing the U.S. banking system," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 54(C), pages 204-227.
    11. Ojo Johnson Adelakun & Babatunde Afolabi & Uwasejike B Abuh, 2020. "Macroeconomic variables and banking sector development: Evidence from Nigeria," Technium Social Sciences Journal, Technium Science, vol. 8(1), pages 288-301, June.
    12. Ivan Baboucek & Martin Jancar, 2005. "Effects of Macroeconomic Shocks to the Quality of the Aggregate Loan Portfolio," Working Papers 2005/01, Czech National Bank, Research and Statistics Department.
    13. Park, Junghee, 2012. "Corruption, soundness of the banking sector, and economic growth: A cross-country study," Journal of International Money and Finance, Elsevier, vol. 31(5), pages 907-929.
    14. Ms. Tatum Blaise Pua Tan, 2012. "Determinants of Credit Growth and Interest Margins in the Philippines and Asia," IMF Working Papers 2012/123, International Monetary Fund.
    15. International Monetary Fund, 2009. "Cyprus: Financial Sector Assessment Program Update: Technical Note: Measuring Banking Stability in Cyprus," IMF Staff Country Reports 2009/171, International Monetary Fund.
    16. Heidari, Hadi & Valipour Pasha, Mohammad & Ahmadyan, Azam, 2015. "Shock Dating on Iranian Banking Network’s Balance Sheet," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 10(3), pages 123-149, July.
    17. Yaman Hajja, 2022. "Impact of bank capital on non‐performing loans: New evidence of concave capital from dynamic panel‐data and time series analysis in Malaysia," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 2921-2948, July.
    18. Festic, Mejra & Kavkler, Alenka & Repina, Sebastijan, 2011. "The macroeconomic sources of systemic risk in the banking sectors of five new EU member states," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 310-322, February.
    19. Avignone, Giuseppe & Altunbas, Yener & Polizzi, Salvatore & Reghezza, Alessio, 2021. "Centralised or decentralised banking supervision? Evidence from European banks," Journal of International Money and Finance, Elsevier, vol. 110(C).
    20. Vasiliki Makri, 2016. "Towards an Investigation of Credit Risk Determinants in Eurozone Countries," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 15(1), pages 27-57, March.
    21. Festic, Mejra & Kavkler, Alenka, 2012. "The Roots of the Banking Crisis in the New EU Member States: A Panel Regression Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 20-40, March.
    22. Adam Głogowski, 2008. "Macroeconomic determinants of Polish banks’ loan losses – results of a panel data study," NBP Working Papers 53, Narodowy Bank Polski.
    23. Martin Macháček & Aleš Melecký & Monika Šulganová, 2018. "Macroeconomic Drivers of Non-Performing Loans: A Meta-Regression Analysis," Prague Economic Papers, Prague University of Economics and Business, vol. 2018(3), pages 351-374.
    24. repec:prg:jnlpep:v:preprint:id:656:p:1-24 is not listed on IDEAS
    25. Paul Mizen & Cihan Yalcin, 2005. "Corporate Finance Under Low Interest Rates: Evidence from Hong Kong," Working Papers 112005, Hong Kong Institute for Monetary Research.

    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. Bank for International Settlements, 2005. "Investigating the relationship between the financial and real economy," BIS Papers, Bank for International Settlements, number 22, May.
    2. Bun, Maurice J.G. & Kiviet, Jan F., 2006. "The effects of dynamic feedbacks on LS and MM estimator accuracy in panel data models," Journal of Econometrics, Elsevier, vol. 132(2), pages 409-444, June.
    3. Hsiao, Cheng & Hashem Pesaran, M. & Kamil Tahmiscioglu, A., 2002. "Maximum likelihood estimation of fixed effects dynamic panel data models covering short time periods," Journal of Econometrics, Elsevier, vol. 109(1), pages 107-150, July.
    4. Francesco Bogliacino & Mariacristina Piva & Marco Vivarelli, 2011. "The impact of R&D on employment in Europe: A firm-level analysis," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises1176, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    5. Francesco Bogliacino & Mariacristina Piva & Marco Vivarelli, 2014. "Technology and employment: the job creation effect of business R&D," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 122(3), pages 239-264.
    6. Campêlo, Guaracyane Lima & Araujo, Jair Andrade & Marinho, Emerson, 2017. "Economic growth and income concentration and their effects on poverty in Brazil," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    7. Eliane Cristina de Araújo, 2011. "Volatilidade Cambial e Crescimento Econômico: Teorias e Evidências para Economias em Desenvolvimento e Emergentes (1980 e 2007)," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 12(2), pages 187-213.
    8. Martin A. Carree, 2002. "Nearly Unbiased Estimation in Dynamic Panel Data Models with Exogenous Variables," Tinbergen Institute Discussion Papers 02-007/2, Tinbergen Institute.
    9. Zhaoxia Xu, 2007. "Do Firms Adjust Toward a Target Leverage Level?," Staff Working Papers 07-50, Bank of Canada.
    10. J.A. Bikker & Tobias M. Vervliet, 2017. "Bank Profitability and Risk-Taking under Low Interest Rates," Working Papers 17-10, Utrecht School of Economics.
    11. Al-Jahwari, Salim Ahmed Said, 2021. "Does the Twin-Deficits doctrine apply to the Gulf Cooperation Council? A dynamic panel VAR-X model approach," MPRA Paper 111232, University Library of Munich, Germany.
    12. Badi H. Baltagi, 2021. "Dynamic Panel Data Models," Springer Texts in Business and Economics, in: Econometric Analysis of Panel Data, edition 6, chapter 0, pages 187-228, Springer.
    13. Ricardo Barradas, 2023. "Why Has Labor Productivity Slowed Down in the Era of Financialization?: Insights from the Post-Keynesians for the European Union Countries," Review of Radical Political Economics, Union for Radical Political Economics, vol. 55(3), pages 390-422, September.
    14. Hossain, Monzur, 2012. "Financial reforms and persistently high bank interest spreads in Bangladesh: Pitfalls in institutional development?," Journal of Asian Economics, Elsevier, vol. 23(4), pages 395-408.
    15. Francesco Bogliacino & Mariacristina Piva & Marco Vivarelli, 2011. "Job Creation Effects of R&D Expenditures: Are High-tech Sectors the Key?," JRC Working Papers on Corporate R&D and Innovation 2011-10, Joint Research Centre.
    16. Petreski, Marjan, 2009. "Analysis of exchange-rate regime effect on growth: theoretical channels and empirical evidence with panel data," Economics Discussion Papers 2009-49, Kiel Institute for the World Economy (IfW Kiel).
    17. Wesley Burnett, J. & Madariaga, Jessica, 2017. "The convergence of U.S. state-level energy intensity," Energy Economics, Elsevier, vol. 62(C), pages 357-370.
    18. Yongfu Huang, 2005. "Will political liberalisation bring about financial development?," Bristol Economics Discussion Papers 05/578, School of Economics, University of Bristol, UK.
    19. Marinho, Emerson & Linhares, Fabricio & Campelo, Guaracyane, 2011. "Os Programas de Transferência de Renda do Governo Impactam a Pobreza no Brasil?," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 65(3), September.
    20. Flannery, Mark J. & Hankins, Kristine Watson, 2013. "Estimating dynamic panel models in corporate finance," Journal of Corporate Finance, Elsevier, vol. 19(C), pages 1-19.

    More about this item

    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:bis:bisbpc:22-24. 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: Martin Fessler (email available below). General contact details of provider: https://edirc.repec.org/data/bisssch.html .

    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.