IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v61y2021i4d10.1007_s00181-020-01931-2.html
   My bibliography  Save this article

Is the Korean housing market following Gangnam style?

Author

Listed:
  • Khamis Hamed Al-Yahyaee

    (Sultan Qaboos University)

  • Walid Mensi

    (Sultan Qaboos University
    University of Tunis El Manar)

  • Hee-Un Ko

    (Seoul Credit Guarantee Foundation)

  • Massimiliano Caporin

    (University of Padova)

  • Sang Hoon Kang

    (Pusan National University)

Abstract

Gangnam is a prime district in Korea known for its expensive real estate market due to convenient transportation, shopping and business centers, and elite schools and academies in the area. This paper examines spillovers and network connectedness in the Korean regional markets using the spillover index of Diebold and Yilmaz (J Econom 182:119–134, 2014). We use the quantile regression approach to investigate the macroeconomic factors driving the total spillover effects under low, normal, and high spillovers. We find that the 1997–1998 Asian currency crisis intensified regional spillovers in the Korean housing market. Moreover, Gangnam is the largest transmitter of spillovers across the regional housing markets in Korea. Our visual network illustrates that Gangnam is a hub of connectedness, implying that it is the most influential shock transmitter among the regional housing markets. Our study has an implication for investors: macroeconomic factors affect spillovers across regional housing sales and rental markets under different degrees of spillover.

Suggested Citation

  • Khamis Hamed Al-Yahyaee & Walid Mensi & Hee-Un Ko & Massimiliano Caporin & Sang Hoon Kang, 2021. "Is the Korean housing market following Gangnam style?," Empirical Economics, Springer, vol. 61(4), pages 2041-2072, October.
  • Handle: RePEc:spr:empeco:v:61:y:2021:i:4:d:10.1007_s00181-020-01931-2
    DOI: 10.1007/s00181-020-01931-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00181-020-01931-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00181-020-01931-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Carol Alexander & Michael Barrow, 1994. "Seasonality and Cointegration of Regional House Prices in the UK," Urban Studies, Urban Studies Journal Limited, vol. 31(10), pages 1667-1689, December.
    2. Markus K. Brunnermeier & Christian Julliard, 2008. "Money Illusion and Housing Frenzies," Review of Financial Studies, Society for Financial Studies, vol. 21(1), pages 135-180, January.
    3. Rangan Gupta & Stephen Miller, 2012. "“Ripple effects” and forecasting home prices in Los Angeles, Las Vegas, and Phoenix," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(3), pages 763-782, June.
    4. Daniel C. Quan & Sheridan Titman, 1999. "Do Real Estate Prices and Stock Prices Move Together? An International Analysis," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 27(2), pages 183-207, June.
    5. Liu, Crocker H. & Hartzell, David J. & Greig, Wylie & Grissom, Terry V., 1990. "The Integration of the Real Estate Market and the Stock Market: Some Preliminary Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 3(3), pages 261-282, September.
    6. John Cotter & Stuart Gabriel & Richard Roll, 2015. "Can Housing Risk Be Diversified? A Cautionary Tale from the Housing Boom and Bust," Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 913-936.
    7. Chuang, Chia-Chang & Kuan, Chung-Ming & Lin, Hsin-Yi, 2009. "Causality in quantiles and dynamic stock return-volume relations," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1351-1360, July.
    8. Franjo, Luis, 2018. "International interest rates, the current account and housing markets," Economic Modelling, Elsevier, vol. 75(C), pages 268-280.
    9. Bing Zhu & Roland Füss & Nico B. Rottke, 2013. "Spatial Linkages in Returns and Volatilities among U.S. Regional Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 41(1), pages 29-64, March.
    10. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, Oxford University Press, vol. 131(4), pages 1593-1636.
    11. Gilbert W. Bassett Jr. & Hsiu-Lang Chen, 2001. "Portfolio style: Return-based attribution using quantile regression," Empirical Economics, Springer, vol. 26(1), pages 293-305.
    12. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    13. Robert G. King & Mark W. Watson, 2012. "Inflation and Unit Labor Cost," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44, pages 111-149, December.
    14. Baur, Dirk G., 2013. "The structure and degree of dependence: A quantile regression approach," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 786-798.
    15. Robert G. King & Mark W. Watson, 2012. "Inflation and Unit Labor Cost," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(s2), pages 111-149, December.
    16. Kang, Hyunju & Suh, Hyunduk, 2017. "Macroeconomic Dynamics in Korea during and after the Global Financial Crisis: A Bayesian DSGE Approach," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 386-421.
    17. Felix Haifeng Liao & Steven Farber & Reid Ewing, 2015. "Compact development and preference heterogeneity in residential location choice behaviour: A latent class analysis," Urban Studies, Urban Studies Journal Limited, vol. 52(2), pages 314-337, February.
    18. James M. Poterba, 1992. "Tax reform and the housing market in the late 1980s: who knew what, and when did they know it?," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 36, pages 230-261.
    19. Duan, Kun & Mishra, Tapas & Parhi, Mamata, 2018. "Space matters: Understanding the real effects of macroeconomic variations in cross-country housing price movements," Economics Letters, Elsevier, vol. 163(C), pages 130-135.
    20. Barton A. Smith & William P. Tesarek, 1991. "House Prices and Regional Real Estate Cycles: Market Adjustments in Houston," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 19(3), pages 396-416, September.
    21. Gatfaoui, Hayette, 2017. "Equity market information and credit risk signaling: A quantile cointegrating regression approach," Economic Modelling, Elsevier, vol. 64(C), pages 48-59.
    22. Nikolaos Antonakakis & Rangan Gupta & John W. Muteba Mwamba, 2016. "Dynamic Comovements Between Housing and Oil Markets in the US over 1859 to 2013: a Note," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 44(3), pages 377-386, September.
    23. Charles Goodhart & Boris Hofmann, 2008. "House prices, money, credit, and the macroeconomy," Oxford Review of Economic Policy, Oxford University Press, vol. 24(1), pages 180-205, spring.
    24. Miles, David, 1992. "Housing markets, consumption and financial liberalisation in the major economies," European Economic Review, Elsevier, vol. 36(5), pages 1093-1127, June.
    25. David C. Ling & Andy Naranjo, 1999. "The Integration of Commercial Real Estate Markets and Stock Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 27(3), pages 483-515, September.
    26. Hyun, Dongwoo & Milcheva, Stanimira, 2018. "Spatial dependence in apartment transaction prices during boom and bust," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 36-45.
    27. Nneji, Ogonna & Brooks, Chris & Ward, Charles W.R., 2013. "House price dynamics and their reaction to macroeconomic changes," Economic Modelling, Elsevier, vol. 32(C), pages 172-178.
    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. Kola Ijasan & Peterson Owusu Junior & George Tweneboah & Tunbosun Oyedokun & Anokye M. Adam, 2021. "Analysing the relationship between global REITs and exchange rates: Fresh evidence from frequency-based quantile regressions," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(3), pages 58-91, September.

    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. Antonakakis, Nikolaos & Floros, Christos, 2016. "Dynamic interdependencies among the housing market, stock market, policy uncertainty and the macroeconomy in the United Kingdom," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 111-122.
    2. Chen, Zhenxi, 2016. "Regimes dependent speculative trading: Evidence from the United States housing market," FinMaP-Working Papers 66, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    3. Tsai, I-Chun, 2015. "Dynamic information transfer in the United States housing and stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 215-230.
    4. James Payne & Hassan Mohammadi, 2004. "The transmission of shocks across real estate investment trust (REIT) markets," Applied Financial Economics, Taylor & Francis Journals, vol. 14(17), pages 1211-1217.
    5. Theodore Panagiotidis & Panagiotis Printzis, 2016. "On the macroeconomic determinants of the housing market in Greece: a VECM approach," International Economics and Economic Policy, Springer, vol. 13(3), pages 387-409, July.
    6. Ben Rejeb, Aymen & Arfaoui, Mongi, 2016. "Financial market interdependencies: A quantile regression analysis of volatility spillover," Research in International Business and Finance, Elsevier, vol. 36(C), pages 140-157.
    7. Rangan Gupta & Christophe André & Luis Gil-Alana, 2015. "Comovement in Euro area housing prices: A fractional cointegration approach," Urban Studies, Urban Studies Journal Limited, vol. 52(16), pages 3123-3143, December.
    8. repec:prg:jnlpep:v:preprint:id:560:p:1-15 is not listed on IDEAS
    9. Korhan Gokmenoglu & Siamand Hesami, 2019. "Real estate prices and stock market in Germany: analysis based on hedonic price index," International Journal of Housing Markets and Analysis, Emerald Group Publishing, vol. 12(4), pages 687-707, August.
    10. Kim Liow & Haishan Yang, 2005. "Long-Term Co-Memories and Short-Run Adjustment: Securitized Real Estate and Stock Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 31(3), pages 283-300, November.
    11. Troster, Victor & Bouri, Elie & Roubaud, David, 2019. "A quantile regression analysis of flights-to-safety with implied volatilities," Resources Policy, Elsevier, vol. 62(C), pages 482-495.
    12. Riza Demirer & Rangan Gupta & Asli Yuksel & Aydin Yuksel, 2020. "The US Term Structure and Return Volatility in Global REIT Markets," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(3), pages 84-109, September.
    13. Huthaifa Alqaralleh & Canepa, Alessandra & Gazi Salah Uddin, 2022. "Dynamic Relations Between Housing Markets, Stock Markets, and Uncertainty in Global Cities: A Time-Frequency Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202213, University of Turin.
    14. Kim Hiang Liow & Xiaoxia Zhou & Qiang Li & Yuting Huang, 2019. "Time–Scale Relationship between Securitized Real Estate and Local Stock Markets: Some Wavelet Evidence," JRFM, MDPI, vol. 12(1), pages 1-23, January.
    15. Tsang-Yao CHANG & Hao FANG & Yen-Hsien LEE, 2015. "Nonlinear A Djustment To The Long-Run Equilibrium Between The Reit And The Stock Markets In Japan And Singapore," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 27-38, September.
    16. Yang, Jian & Yu, Ziliang & Deng, Yongheng, 2018. "Housing price spillovers in China: A high-dimensional generalized VAR approach," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 98-114.
    17. Umit Erol & Aydin Yuksel & Asli Yuksel & Hakki Ozturk, 2020. "Cointegration and adjustment dynamics of REIT and stock markets during the global financial and European debt crises," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 23(1), pages 23-49.
    18. Hao, Jing & He, Feng, 2018. "Univariate dependence among sectors in Chinese stock market and systemic risk implication," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 355-364.
    19. Dayong Zhang & Qiang Ji & Wan-Li Zhao & Nicholas J Horsewood, 2021. "Regional housing price dependency in the UK: A dynamic network approach," Urban Studies, Urban Studies Journal Limited, vol. 58(5), pages 1014-1031, April.
    20. Zhenxi Chen & Cuntong Wang, 2020. "Speculative trading in Chinese housing market: a panel regression method," Applied Economics, Taylor & Francis Journals, vol. 52(38), pages 4186-4195, July.
    21. Lin, Tsoyu Calvin & Lin, Zong-Han, 2011. "Are stock and real estate markets integrated? An empirical study of six Asian economies," Pacific-Basin Finance Journal, Elsevier, vol. 19(5), pages 571-585, November.

    More about this item

    Keywords

    Korean regional housing market; Dynamic spillover; Network connectedness; Quantile regression approach; Spillover index;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation

    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:spr:empeco:v:61:y:2021:i:4:d:10.1007_s00181-020-01931-2. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.springer.com .

    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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.