Research Article
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Investigation of Connectedness Effects in the Euro Region: The Case of the Real Estate Prices Index

Year 2024, Volume: 74 Issue: 2, 315 - 350, 31.12.2024
https://doi.org/10.26650/ISTJECON2023-1239981

Abstract

Shocks occurring in the housing market among countries using the common currency in the European Union also cause fluctuations in real estate market prices. Therefore, the analysis of the spread and mutual influence of price fluctuations in the real estate market on the economies of countries becomes essential in the implementation of macroeconomic and common monetary policies. In terms of the social and economic impact of the housing market, this information has become the most important source for understanding countries’ investment preferences and price dynamics. Consequently, what initially begins as country-specific shocks in housing markets often evolves into a structure in which these shocks affect housing markets in other countries. Within this framework, the primary objective of this study is to present findings regarding the estimation of parameters related to the interconnectedness of shocks occurring in the housing markets of countries using the single currency of the European Union with other countries’ housing markets.Otherwise, it explores the macroeconomic impacts of countries’ housing markets in the Eurozone due to the mutual interdependence among these countries.The main findings obtained from the study indicate that shocks in the left tail (τ = 0.05) and right tail (τ = 0.95) have a greater impact on connectivity than shocks obtained from median predictions. This demonstrates that relying solely on median-based predictors is not appropriate for examining return transmissions associated with extreme positive/negative events. This is because shocks in the housing market propagate more strongly in the right and left tails than in the median.

JEL Classification : E00 , G51 , H31 , E27 , F15

References

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  • Diebold, F. X., & Yilmaz, K. (2009). Measuring financial asset return and volatility spillovers, with application to global equity markets. Economic Journal, 119(534), 158-171. google scholar
  • Diebold, F. X., & Yilmaz, K. (2012). Better to give than to receive: predictive directional measurement of volatility spillovers. InternationalJournal of Forecasting, 28(1), 57-66. google scholar
  • Diebold, F. X., & Yilmaz, K. (2014). On the network topology of variance decompositions: measuring the connectedness of financial firms. Journal of Econometrics, 182(1), 119-134. google scholar
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  • Fisher, T. J., & Gallagher, C. M. (2012). New weighted portmanteau statistics for time series goodness of fit testing. Journal of the American Statistical Association, 107(498), 777-787. google scholar
  • Gabauer, D., Gupta, R., Marfatia, H., & Miller, S. M. (2020). Estimating U.S. housing price network connectedness: evidence from dynamic elastic net, lasso, and ridge vector autoregressive models. SSRN Electronic Journal, 1-27. https://doi.org/10.2139/ssrn.3660950 google scholar
  • Goodhart, C., & Hofmann, B. (2008). House prices, money, credit and the macroeconomy, European Central Bank, No. 888, 1-45. https://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp888.pdf google scholar
  • Gupta, R., & Hartley, F. (2013). The role of asset prices in forecasting inflation and output in south africa. Journal of Emerging Market Finance, 12(3), 239-291. google scholar
  • Harvey, C. R., & Huang, R. D. (1991). Volatility in the foreign currency futures market. The Review of Financial Studies, 4(3), 543-569. google scholar
  • Holinski, N., & Vermeulen, R. (2009). The international wealth channel: A global error-correcting analysis. SSRN Electronic Journal, 1-34. Available at SSRN: https://ssrn.com/ abstract=1342550 or http://dx.doi.org/10.2139/ssrn.1342550 google scholar
  • Hu, Y. (2022). A Review of Phillips-type right-tailed unit root bubble detection tests. Journal of Economic Surveys, 37(1), 1-18. google scholar
  • Hwang, S. J., & Suh, H. (2019). Analyzing dynamic connectedness in Korean housing markets. Emerging Markets Finance and Trade, 57(2), 591-609. google scholar
  • Fratzscher M., Juvenal, L. & Sarno L. (2007). Asset prices, exchange rates and the current account. Europan Central Bank, no.790, 1-48. https://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp790. pdf google scholar
  • Koenker, R., & Bassett, G. (1978). Regression quantiles. Econometrica, 46(1), 33-50. google scholar
  • Lee, H. S., & Lee, W. S. (2018). Housing market volatility connectedness among G7 countries. Applied Economics Letters, 25(3), 146-151. google scholar
  • Lee, H. S., & Lee, W. S. (2019). Cross-Regional connectedness in the Korean housing market. Journal of Housing Economics, 46(September), 101654. https://doi.org/10.1016/j.jhe.2019.101654 google scholar
  • Lee, H. S., & Lee, W. S. (2020). Connectedness among Northeast Asian housing markets and business cycles. East Asian Economic Review, 24(2), 185-203. google scholar
  • Lustig, H., & Van Nieuwerburgh, S. (2010). How much does household collateral constrain regional risk sharing? Review of Economic Dynamics, 13(2), 265-294. google scholar
  • Muellbauer, J., & Murphy, A. (1990). Is the UK balance of payments sustainable? Economic Policy, 11(11), 347-395. google scholar
  • Nzama, L., Sithole, T., & Bozkus Kahyaoglu, S. (2022). Asymmetric TVP-VAR Connectedness Approach: The Case of South Africa. IntechOpen. doi: 10.5772/intechopen.107248 google scholar
  • Ortalo-Magne, F., & Sven, R. (2006). Housing market dynamics: on the contribution of income shocks and credit constraints. Review of Economic Studies, 73(2), 459-485. google scholar
  • Skinner, J. (1989). Housing wealth and aggregate saving. Regional Science and Urban Economics, 19(2), 305-324. google scholar
  • Taşdöken, Ö., & Kahyaoğlu, H. (2022). Davranışsal makroekonomi çerçevesinde hane halkı borçluluk düzeyinin analizi. Selçuk Üniversitesi Sosyal Bilimler Meslek Yüksekokulu Dergisi, 25(1), 156-174. English- Analysis of household indebtedness level within the framework of behavioral macroeconomics. Journal of Selçuk University Vocational School of Social Sciences, 25(1), 156174. google scholar
  • Tsai, I. C. (2013). The asymmetric impacts of monetary policy on housing prices: A viewpoint of housing price rigidity. Economic Modelling, 31(1), 405-413. google scholar
  • Tsai, I. C. (2018). House Price Convergence in Euro Zone and Non-Euro Zone Countries. Economic Systems, 42(2), 269-281. google scholar
  • Tsai, I. C., & Lin, C. C. (2019). Variations and influences of connectedness among US housing markets. International Real Estate Review, 22(1), 27-58. google scholar
  • Tsai, I., & Chen, M. (2009). The asymmetric volatility of house prices in the UK. Property Management, 27(2), 80-90. google scholar
  • Vansteenkiste, I., & Hiebert, P. (2011). Do house price developments spillover across Euro area countries? evidence from a Global VAR. Journal of Housing Economics, 20(4), 299-314. google scholar
  • Yunus, N., & Swanson, P. E. (2012). Changing integration of EMU public property markets. Journal of International Financial Markets, Institutions and Money, 22(1), 194-208. google scholar
  • Zhang, D., & Fan, G. Z. (2019). Regional spillover and rising connectedness in China’s urban housing prices. Regional Studies, 53(6), 861-873. google scholar
Year 2024, Volume: 74 Issue: 2, 315 - 350, 31.12.2024
https://doi.org/10.26650/ISTJECON2023-1239981

Abstract

References

  • Ando, T., Greenwood-Nimmo, M., & Shin, Y. (2022). Quantile connectedness: modeling tail behavior in the topology of financial networks. Management Science, 68(4), 2401-2431. google scholar
  • Antonakakis, N., Chatziantoniou, I., Floros, C., & Gabauer, D. (2018). The dynamic connectedness of UK regional property returns. Urban Studies, 55(14), 3110-3134. google scholar
  • Attanasio, O. P., Blow, L., Hamilton, R., & Leicester, A. (2009). Booms and busts: consumption, house prices and expectations. Economica, 76(301), 20-50. google scholar
  • Bouri, E., Saeed, T., Vo, X. V., & Roubaud, D. (2021). Quantile connectedness in the cryptocurrency market. Journal of International Financial Markets, Institutions and Money, 71, 101302. https://doi. org/10.1016/j.intfin.2021.101302 google scholar
  • Çağlayan, E., & Saçaklı, İ. (2006). Satın alma gücü paritesinin geçerliliğinin sıfır frekansta spektrum tahmincisine dayanan birim kök testleri ile incelenmesi. İktisadi ve İdari Bilimler Dergisi, 20(1), 121-137. www.journal.uta45jakarta.ac.id google scholar
  • Chatziantoniou, I., Abakah, E. J. A., Gabauer, D., & Tiwari, A. K. (2022). Quantile Time-Frequency Price Connectedness between Green Bond, Green Equity, Sustainable İnvestments and Clean Energy Markets. Journal of Cleaner Production, 361(November 2021). https://doi.org/10.1016/j.jclepro.2022.132088 google scholar
  • Case, K. E., Quigley, J. M., & Shiller, R. J. (2005). Comparing wealth effects: the stock market versus the housing market. Advances in Macroeconomics, 5(1), 1-34. google scholar
  • Chatziantoniou, I., Abakah, E. J. A., Gabauer, D., & Tiwari, A. K. (2022). Quantile time-frequency price connectedness between green bond, green equity, sustainable investments and clean energy markets. Journal of Cleaner Production, 361(November), 1-14. https://doi.org/10.1016/j. jclepro.2022.132088 google scholar
  • Chatziantoniou, I., Gabauer, D., & Stenfors, A. (2021). Interest rate swaps and the transmission mechanism of monetary policy: a quantile connectedness approach. Economics Letters, 204(109891), 1-3 google scholar
  • Claessens, S., Kose, M. A., & Terrones, M. E. (2011). How do business and financial cycles ınteract?. IMF Working Papers, (No.1188), 1-55. https://www.imf.org/external/pubs/ft/wp/2011/wp1188. pdf google scholar
  • Cochrane, J. H. (2005). Financial markets and the real economy. In NBER Working Papers (No. 11193), 1-88. https://ideas.repec.org/p/nbr/nberwo/11193.html google scholar
  • Bandt, O., Knetsch, T. A., Penalosa, J., & Zollino, F. (2010). The international transmission of house price shocks. In Housing Markets in Europe: A Macroeconomic Perspective, 1-415. Springer-Verlag Berlin Heidelberg, https://doi.org/10.1007/978-3-642-15340-2 google scholar
  • Demary, M. (2010). The interplay between output, inflation, interest rates and house prices: international evidence. Journal of Property Research, 27(1), 1-17. google scholar
  • Diebold, F. X., & Yilmaz, K. (2009). Measuring financial asset return and volatility spillovers, with application to global equity markets. Economic Journal, 119(534), 158-171. google scholar
  • Diebold, F. X., & Yilmaz, K. (2012). Better to give than to receive: predictive directional measurement of volatility spillovers. InternationalJournal of Forecasting, 28(1), 57-66. google scholar
  • Diebold, F. X., & Yilmaz, K. (2014). On the network topology of variance decompositions: measuring the connectedness of financial firms. Journal of Econometrics, 182(1), 119-134. google scholar
  • Ederington, L. H., & Lee, J. H. (1993). How markets process information: news releases and volatility. In the Journal of Finance, 48(4), 1161-1191. google scholar
  • Elliott, B. Y. G., Rothenberg, T. J., & Stock, J. H. (1996). Efficient tests for an autoregressive unit root. Econometrica, 64(4), 813-836. google scholar
  • Engelhard, G. V. (1994). House prices and the decision to save for down payments. Journal of Urban Economics, 36(2), 209-237. google scholar
  • Fan, Y. (2022). Demand shocks and price stickiness in housing market dynamics. Economic Modelling, no.110(November), 105820, 1-31. https://doi.org/10.1016/j.econmod.2022.105820 google scholar
  • Fisher, T. J., & Gallagher, C. M. (2012). New weighted portmanteau statistics for time series goodness of fit testing. Journal of the American Statistical Association, 107(498), 777-787. google scholar
  • Gabauer, D., Gupta, R., Marfatia, H., & Miller, S. M. (2020). Estimating U.S. housing price network connectedness: evidence from dynamic elastic net, lasso, and ridge vector autoregressive models. SSRN Electronic Journal, 1-27. https://doi.org/10.2139/ssrn.3660950 google scholar
  • Goodhart, C., & Hofmann, B. (2008). House prices, money, credit and the macroeconomy, European Central Bank, No. 888, 1-45. https://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp888.pdf google scholar
  • Gupta, R., & Hartley, F. (2013). The role of asset prices in forecasting inflation and output in south africa. Journal of Emerging Market Finance, 12(3), 239-291. google scholar
  • Harvey, C. R., & Huang, R. D. (1991). Volatility in the foreign currency futures market. The Review of Financial Studies, 4(3), 543-569. google scholar
  • Holinski, N., & Vermeulen, R. (2009). The international wealth channel: A global error-correcting analysis. SSRN Electronic Journal, 1-34. Available at SSRN: https://ssrn.com/ abstract=1342550 or http://dx.doi.org/10.2139/ssrn.1342550 google scholar
  • Hu, Y. (2022). A Review of Phillips-type right-tailed unit root bubble detection tests. Journal of Economic Surveys, 37(1), 1-18. google scholar
  • Hwang, S. J., & Suh, H. (2019). Analyzing dynamic connectedness in Korean housing markets. Emerging Markets Finance and Trade, 57(2), 591-609. google scholar
  • Fratzscher M., Juvenal, L. & Sarno L. (2007). Asset prices, exchange rates and the current account. Europan Central Bank, no.790, 1-48. https://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp790. pdf google scholar
  • Koenker, R., & Bassett, G. (1978). Regression quantiles. Econometrica, 46(1), 33-50. google scholar
  • Lee, H. S., & Lee, W. S. (2018). Housing market volatility connectedness among G7 countries. Applied Economics Letters, 25(3), 146-151. google scholar
  • Lee, H. S., & Lee, W. S. (2019). Cross-Regional connectedness in the Korean housing market. Journal of Housing Economics, 46(September), 101654. https://doi.org/10.1016/j.jhe.2019.101654 google scholar
  • Lee, H. S., & Lee, W. S. (2020). Connectedness among Northeast Asian housing markets and business cycles. East Asian Economic Review, 24(2), 185-203. google scholar
  • Lustig, H., & Van Nieuwerburgh, S. (2010). How much does household collateral constrain regional risk sharing? Review of Economic Dynamics, 13(2), 265-294. google scholar
  • Muellbauer, J., & Murphy, A. (1990). Is the UK balance of payments sustainable? Economic Policy, 11(11), 347-395. google scholar
  • Nzama, L., Sithole, T., & Bozkus Kahyaoglu, S. (2022). Asymmetric TVP-VAR Connectedness Approach: The Case of South Africa. IntechOpen. doi: 10.5772/intechopen.107248 google scholar
  • Ortalo-Magne, F., & Sven, R. (2006). Housing market dynamics: on the contribution of income shocks and credit constraints. Review of Economic Studies, 73(2), 459-485. google scholar
  • Skinner, J. (1989). Housing wealth and aggregate saving. Regional Science and Urban Economics, 19(2), 305-324. google scholar
  • Taşdöken, Ö., & Kahyaoğlu, H. (2022). Davranışsal makroekonomi çerçevesinde hane halkı borçluluk düzeyinin analizi. Selçuk Üniversitesi Sosyal Bilimler Meslek Yüksekokulu Dergisi, 25(1), 156-174. English- Analysis of household indebtedness level within the framework of behavioral macroeconomics. Journal of Selçuk University Vocational School of Social Sciences, 25(1), 156174. google scholar
  • Tsai, I. C. (2013). The asymmetric impacts of monetary policy on housing prices: A viewpoint of housing price rigidity. Economic Modelling, 31(1), 405-413. google scholar
  • Tsai, I. C. (2018). House Price Convergence in Euro Zone and Non-Euro Zone Countries. Economic Systems, 42(2), 269-281. google scholar
  • Tsai, I. C., & Lin, C. C. (2019). Variations and influences of connectedness among US housing markets. International Real Estate Review, 22(1), 27-58. google scholar
  • Tsai, I., & Chen, M. (2009). The asymmetric volatility of house prices in the UK. Property Management, 27(2), 80-90. google scholar
  • Vansteenkiste, I., & Hiebert, P. (2011). Do house price developments spillover across Euro area countries? evidence from a Global VAR. Journal of Housing Economics, 20(4), 299-314. google scholar
  • Yunus, N., & Swanson, P. E. (2012). Changing integration of EMU public property markets. Journal of International Financial Markets, Institutions and Money, 22(1), 194-208. google scholar
  • Zhang, D., & Fan, G. Z. (2019). Regional spillover and rising connectedness in China’s urban housing prices. Regional Studies, 53(6), 861-873. google scholar
There are 46 citations in total.

Details

Primary Language English
Subjects Business Administration
Journal Section Research Article
Authors

Öznur Taşdöken 0000-0001-7381-4361

Hakan Kahyaoğlu

Publication Date December 31, 2024
Submission Date January 22, 2023
Published in Issue Year 2024 Volume: 74 Issue: 2

Cite

APA Taşdöken, Ö., & Kahyaoğlu, H. (2024). Investigation of Connectedness Effects in the Euro Region: The Case of the Real Estate Prices Index. İstanbul İktisat Dergisi, 74(2), 315-350. https://doi.org/10.26650/ISTJECON2023-1239981
AMA Taşdöken Ö, Kahyaoğlu H. Investigation of Connectedness Effects in the Euro Region: The Case of the Real Estate Prices Index. İstanbul İktisat Dergisi. December 2024;74(2):315-350. doi:10.26650/ISTJECON2023-1239981
Chicago Taşdöken, Öznur, and Hakan Kahyaoğlu. “Investigation of Connectedness Effects in the Euro Region: The Case of the Real Estate Prices Index”. İstanbul İktisat Dergisi 74, no. 2 (December 2024): 315-50. https://doi.org/10.26650/ISTJECON2023-1239981.
EndNote Taşdöken Ö, Kahyaoğlu H (December 1, 2024) Investigation of Connectedness Effects in the Euro Region: The Case of the Real Estate Prices Index. İstanbul İktisat Dergisi 74 2 315–350.
IEEE Ö. Taşdöken and H. Kahyaoğlu, “Investigation of Connectedness Effects in the Euro Region: The Case of the Real Estate Prices Index”, İstanbul İktisat Dergisi, vol. 74, no. 2, pp. 315–350, 2024, doi: 10.26650/ISTJECON2023-1239981.
ISNAD Taşdöken, Öznur - Kahyaoğlu, Hakan. “Investigation of Connectedness Effects in the Euro Region: The Case of the Real Estate Prices Index”. İstanbul İktisat Dergisi 74/2 (December 2024), 315-350. https://doi.org/10.26650/ISTJECON2023-1239981.
JAMA Taşdöken Ö, Kahyaoğlu H. Investigation of Connectedness Effects in the Euro Region: The Case of the Real Estate Prices Index. İstanbul İktisat Dergisi. 2024;74:315–350.
MLA Taşdöken, Öznur and Hakan Kahyaoğlu. “Investigation of Connectedness Effects in the Euro Region: The Case of the Real Estate Prices Index”. İstanbul İktisat Dergisi, vol. 74, no. 2, 2024, pp. 315-50, doi:10.26650/ISTJECON2023-1239981.
Vancouver Taşdöken Ö, Kahyaoğlu H. Investigation of Connectedness Effects in the Euro Region: The Case of the Real Estate Prices Index. İstanbul İktisat Dergisi. 2024;74(2):315-50.