Does the real estate market behavior predict the trust crisis in the financial sector? The case of the ECB and the Euro
DOI:
https://doi.org/10.24136/eq.2021.026Keywords:
trust crisis, financial sector, real estate market, behavioral approach, real house price indexAbstract
Research background: Based on the history of financial crises, real estate market behavior could be thought of as a key benchmark of trust shifts in the financial sector of the economy. Plunging real estate asset prices accompanied by the financial "bubbles" explosion could be viewed as the harbinger ? even the cause ? of the public trust crash in the financial sector.
Purpose of the article: This study intends to assess the extent to which the real estate market behavior determinants, along with financial sector consumers' feelings, are able to predict trust crises in the financial sector, namely to its primary institutions ? European Central Bank and the Euro.
Methods: In order to estimate the probability of a trust crisis in the financial sector, two logistic regression logit models were developed based on two types of dependent variables as they reflect trust violations in the financial system primary institutions ? net trust in European Central Bank (Model I) and net support for the Euro (Model II). The research was conducted on quarterly panel data of the EU countries from the euro area covering the period from 2000 to 2019. Logit regressions employed for data processing and analysis were performed in the computational system STATISTICA.
Findings & value added: The logit-modeling results show that determinants of irrational real estate buyers' behavior are powerless in predicting the escalation of the trust crisis in the Euro. However, binary models of real estate market behavior could be successfully used to predict the probability of the trust crisis in the European Central Bank. The results show that real house price indices, price to income ratio, price to rent ratio, and rent prices accompanied by the financial sector consumers' feelings are statistically significant, providing the best distribution between the normal times and periods of trust crisis in the European Central Bank. Irrational real estate market behavior may indicate serious problems in the trust violations in the European Central Bank, and it should be a signal for policymakers to take actions towards more efficient financial and real estate market regulation following the behavioral approach.
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Abunyuwah, I. (2020). Partial ordered Logit analysis of confidence levels in financial institutions in Ghana. The case of Asante Mampong Municipality. International Journal of Economics and Finance, 12(7), 21?30. doi: 10.5539/ij ef.v12n7p21.
DOI: https://doi.org/10.5539/ijef.v12n7p21
View in Google Scholar
Akhter, S. H., & Butt, H. (2019). History of childhood oppression, inter-temporal resentment and compliance with codes of harassment at the workplace: an offender?s perspective. Business Ethics and Leadership, 3(4), 6?14. doi: 10.2127 2/bel.3(4).6-14.2019.
DOI: https://doi.org/10.21272/bel.3(4).6-14.2019
View in Google Scholar
Arroyave, J. (2018). A comparative analysis of the effectiveness of corporate bankruptcy prediction models based on financial ratios: evidence from Colombia. Journal of International Studies, 11(1), 273?287. doi: 10.14254/2071-8330.201 8/11-1/21.
DOI: https://doi.org/10.14254/2071-8330.2018/11-1/21
View in Google Scholar
Bacik, R., Fedorko, R., Gavurova, B., Olearova, M., & Rigelsky, M. (2020). Hotel marketing policy: role of rating in consumer decision making. Marketing and Management of Innovations, 2, 11?25. doi: 10.21272/mmi.2020.2-01.
DOI: https://doi.org/10.21272/mmi.2020.2-01
View in Google Scholar
Bao, H., Helen, X., & Steven Haotong, L. (2016). Overconfidence and real estate research: a survey of the literature. Singapore Economic Review, 61(4), 1650015. doi: 10.1142/S0217590816500156.
DOI: https://doi.org/10.1142/S0217590816500156
View in Google Scholar
Bertrand, R. (2010). Speculative behaviour in immature real estate markets, lessons of the 1997 Asia financial crisis. Urban Policy and Research, 21(2), 151?173. doi: 10.1080/08111140309950.
DOI: https://doi.org/10.1080/08111140309950
View in Google Scholar
Bilan, Y., Brychko, M., Buriak, A., & Vasilyeva, T. (2019a). Financial, business and trust cycles: the issues of synchronization. Zbornik radova Ekonomskog fakulteta u Rijeci, 37(1), 113?138. doi: 10.18045/zbefri.2019.1.113.
DOI: https://doi.org/10.18045/zbefri.2019.1.113
View in Google Scholar
Bilan, Y., Tiutiunyk, I., Lyeonov, S., & Vasylieva, T. (2020). Shadow economy and economic development: a panel cointegration and causality analysis. International Journal of Economic Policy in Emerging Economies, 13(2), 173?193. doi: 10.1504/ijepee.2020.107929.
DOI: https://doi.org/10.1504/IJEPEE.2020.107929
View in Google Scholar
Bilan, Y., Vasylieva, T., Lyeonov, S., & Tiutiunyk, I. (2019b). Shadow economy and its impact on demand at the investment market of the country. Entrepreneurial Business and Economics Review, 7(2), 27?43. doi: 10.15678/e ber.2019 .070202.
DOI: https://doi.org/10.15678/EBER.2019.070202
View in Google Scholar
Brzezicka, J., & Wiśniewski, R. (2014). Price bubble in the real estate market - behavioral aspects. Real Estate Management and Valuation, 22(1), 80?93. doi: 10.2478/remav-2014-0010.
DOI: https://doi.org/10.2478/remav-2014-0010
View in Google Scholar
Bukalska, E. (2020). Are companies managed by overconfident CEO financially Constraint? Investment-cash flow sensitivity approach. Equilibrium. Quarterly Journal of Economics and Economic Policy, 15(1), 107?131. doi: 10.24136/eq .2020.006.
DOI: https://doi.org/10.24136/eq.2020.006
View in Google Scholar
Calderón, C., Chong, A., & Galindo, A. (2002). Development and efficiency of the financial sector and links with trust: cross?country. Economic Development and Cultural Change, 51(1), 189?204. doi: 10.1086/344547.
DOI: https://doi.org/10.1086/344547
View in Google Scholar
Cerito?lu, E. (2013). The impact of labour income risk on household saving decisions in Turkey. Review of Economics of the Household, 11(1), 109?129. doi: 10.1007/s11150-011-9137-2.
DOI: https://doi.org/10.1007/s11150-011-9137-2
View in Google Scholar
Chen, N-K., & Cheng, H-L. (2017). House price to income ratio and fundamentals: Evidence on long?horizon forecastability. Pacific Economic Review, 22(3), 293?311. doi: 10.1111/1468-0106.12231.
DOI: https://doi.org/10.1111/1468-0106.12231
View in Google Scholar
Dawood, T., Pratama, H., Masbar, R., & Effendi, R. (2019). Does financial inclusion alleviate household poverty? Empirical evidence from Indonesia. Economics & Sociology, 12(2), 235?252. doi: 10.14254/2071-789x.2019/12-2/14.
DOI: https://doi.org/10.14254/2071-789X.2019/12-2/14
View in Google Scholar
Demyanyka, Y., & Hasanb, I. (2010). Financial crises and bank failures: a review of prediction methods. Omega, 38(5), 315?324. doi: 10.1016/j.omega.2009.09 .007.
DOI: https://doi.org/10.1016/j.omega.2009.09.007
View in Google Scholar
Dewi, V., Febrian, E., Effendi, N., & Anwar, M. (2020). Does financial perception mediating the financial literacy on financial behavior? A study of academic community in central Java Island, Indonesia. Montenegrin Journal of Economics, 16(2), 33?48. doi: 10.14254/1800-5845/2020.16-2.3.
DOI: https://doi.org/10.14254/1800-5845/2020.16-2.3
View in Google Scholar
Djalilov, K., Lyeonov, S., & Buriak, A. (2015). Comparative studies of risk, concentration and efficiency in transition economies. Risk Governance and Control: Financial Markets and Institutions, 5(4), 177?186. doi: 10.22495/rgcv 5i4c1art7.
DOI: https://doi.org/10.22495/rgcv5i4c1art7
View in Google Scholar
Dow, S. (2011). Cognition, market sentiment and financial instability. Cambridge Journal of Economics, 35(2), 233?249. doi: 10.1093/cje/beq029.
DOI: https://doi.org/10.1093/cje/beq029
View in Google Scholar
Edelstein, M. D., & Edelstein, R. H. (2020). Crashes, contagion, cygnus, and complexities: global economic crises and real estate. International Real Estate Review, 23(3), 937?962.
DOI: https://doi.org/10.53383/100304
View in Google Scholar
Ennew, C., Kharouf, H., & Sekhon, H. (2011). Trust in UK financial services: a longitudinal analysis. Journal of Financial Services Marketing, 16, 65?75. doi: 10.1057/fsm.2011.8.
DOI: https://doi.org/10.1057/fsm.2011.8
View in Google Scholar
Gallimore, P., & Gray, A. (2002). The role of investor sentiment in property investment decisions. Journal of Property Research, 19(2), 111?120. doi: 10.108 0/09599910110110671.
DOI: https://doi.org/10.1080/09599910110110671
View in Google Scholar
Gerardi, K., Foote, C., & Willen, S. P. (2010). Reasonable people did disagree: optimism and pessimism about the US housing market before the crash. In S. M. Wachter & M. M. Smith (Eds.). The American mortgage system: crisis and reform. University of Pennsylvania Press, 26?59.
DOI: https://doi.org/10.9783/9780812204308.26
View in Google Scholar
Gibler, K., & Nelson, S. (2003). Consumer behavior applications to real estate education. Journal of Real Estate Practice and Education, 6(1), 63?83. doi: 10.1080/10835547.2003.12091585.
DOI: https://doi.org/10.1080/10835547.2003.12091585
View in Google Scholar
Gower, P., Florian, M., & Shutes, K. (2019). Regulator communication and market confidence in difficult times: lessons from the great financial crisis. Eurasian Journal of Economics and Finance, 7(4), 1?24. doi: 10.15604/ejef.2019.07.04. 001.
DOI: https://doi.org/10.15604/ejef.2019.07.04.001
View in Google Scholar
Gavurova, B., Matus, K., Huculova, E., Popadakova, D., & Bilan, Sv. (2019). Financial literacy and rationality of youth in Slovakia. Transformations in Business & Economics, 18(3), 43?53.
View in Google Scholar
Hadbaa, H. (2019). Behavioral biases influencing the decision making of portfolio managers of capital securities and traders in Morocco. Financial Markets, Institutions and Risks, 3(1), 92?105. doi: 10.21272/fmir.3(1).92-105.2019.
DOI: https://doi.org/10.21272/fmir.3(1).92-105.2019
View in Google Scholar
Hampton, P., & Rayner, A. C. (1977). The use of multivariate methods in economics with reference to regional analysis. Regional Science and Urban Economics, 7(3), 267?287. doi: 10.1016/0166-0462(77)90013-8.
DOI: https://doi.org/10.1016/0166-0462(77)90013-8
View in Google Scholar
Hartanto, S., Sunarto, H., & Supramono, S. (2020). The determinants of the end-of-year spending behavior of local governments? financial managers: a lesson learn from Indonesia. Montenegrin Journal of Economics, 16(1), 193?206. doi: 10.14254/1800-5845/2020.16-1.13.
DOI: https://doi.org/10.14254/1800-5845/2020.16-1.13
View in Google Scholar
Hebak, P. (2015). Statisticke mysleni a nastroje analyzy dat. Prague: Informatorium.
View in Google Scholar
Hott, Chr. (2012). The influence of herding behavior on house prices. Journal of European Real Estate, 5(3), 177?198. doi: 10.1108/17539261211282046.
DOI: https://doi.org/10.1108/17539261211282046
View in Google Scholar
Huck, N., Mavoori, H., Mesly, O. (2020). The rationality of irrationality in times of financial crises. Economic Modelling, 89, 337?350. doi: 10.1016/j.econmod. 2019.10.033.
DOI: https://doi.org/10.1016/j.econmod.2019.10.033
View in Google Scholar
Hwang, S., Youngha, C., & Jinho, C. (2020). The impact of UK household overconfidence in public information on house prices. Journal of Property Research, 37(4), 360?389. doi: 10.1080/09599916.2020.1790631.
DOI: https://doi.org/10.1080/09599916.2020.1790631
View in Google Scholar
Jemović, M., & Marinković, S. (2021). Determinants of financial crises - an early warning system based on panel logit regression. International Journal of Finance and Economics, 26(1), 103?117. doi: 10.1002/ijfe.1779.
DOI: https://doi.org/10.1002/ijfe.1779
View in Google Scholar
Jord?o, A., Costa, R., Lopes Dias, A., Pereira, L., & Santos, J. (2020). Bounded rationality in decision making: an analysis of the decision-making biases. Business: Theory and Practice, 21(2), 654?65. doi: 10.3846/btp.2020.11154.
DOI: https://doi.org/10.3846/btp.2020.11154
View in Google Scholar
Khadidja, Z. (2020). The client?s behaviour towards the bank in Algeria (Public Bank Vs Foreign Bank). Financial Markets, Institutions and Risks, 4(1), 100?108. doi: 10.21272/fmir.4(1).100-108.2020.
DOI: https://doi.org/10.21272/fmir.4(1).100-108.2020
View in Google Scholar
Kivedal, B. (2013). Testing for rational bubbles in the US housing market. Journal of Macroeconomics, 38(B), 369?381. doi: 10.1016/j.jmacro.2013.08.021.
DOI: https://doi.org/10.1016/j.jmacro.2013.08.021
View in Google Scholar
Kłopocka, A-M. (2017). Does consumer confidence forecast household saving and borrowing behavior? Evidence for Poland. Social Indicators Research, 133(2), 693?717. doi: 10.1007/s11205-016-1376-4.
DOI: https://doi.org/10.1007/s11205-016-1376-4
View in Google Scholar
Koklic, M., & Vida, I. (2009). A strategic household purchase: consumer house buying behavior. Managing Global Transitions, 7(1), 75?96.
View in Google Scholar
Koklic, M., & Vida, I. (2011). Consumer strategic decision making and choice process: prefabricated house purchase. International Journal of Consumer Studies, 35(6), 634?643. doi: 10.1111/j.1470-6431.2010.00953.x.
DOI: https://doi.org/10.1111/j.1470-6431.2010.00953.x
View in Google Scholar
Kośny, M., & Piotrowska, M. (2013). Economic security of households and their savings and credits. National Bank of Poland, 146. doi:10.2139/ssrn.224485.
DOI: https://doi.org/10.2139/ssrn.2244856
View in Google Scholar
Kovacova, M., & Kliestik, T. (2017). Logit and Probit application for the prediction of bankruptcy in Slovak companies. Equilibrium. Quarterly Journal of Economics and Economic Policy, 12(4), 775?791. doi: 10.24136/eq.v12i4.40.
DOI: https://doi.org/10.24136/eq.v12i4.40
View in Google Scholar
Kozmenko, O., Merenkova, O., & Boyko, A. (2009). The analysis of insurance market structure and dynamics in Ukraine, Russia and European insurance and reinsurance federation (CS?) member states. Problems and Perspectives in Management, 7(1), 29?39. doi: 10.21511/ppm.7(1).2009.01.
DOI: https://doi.org/10.21511/ppm.7(1).2009.01
View in Google Scholar
Lam, C., & Hui, E. (2018). How does investor sentiment predict the future real estate returns of residential property in Hong Kong? Habitat International, 75, 1?11. doi: 10.1016/j.habitatint.2018.02.009.
DOI: https://doi.org/10.1016/j.habitatint.2018.02.009
View in Google Scholar
Ma, Y., Xu, B., & Xiaofei, X. (2017). Real estate confidence index based on real estate news. Emerging Markets Finance and Trade, 54(4), 747?760. doi: 10.10 80/1540496x.2016.1232193.
DOI: https://doi.org/10.1080/1540496X.2016.1232193
View in Google Scholar
Mastrogiacomo, M., & Alessie, R. (2014). The precautionary savings motive and household savings. Oxford Economic Papers, 66(1), 164?187. doi: 10.1093/oep /gpt028.
DOI: https://doi.org/10.1093/oep/gpt028
View in Google Scholar
Minasyan, D., & Tovmasyan, G. (2020). Gender differences in decision-making and leadership: evidence from Armenia. Business Ethics and Leadership, 4(1), 6?16. doi: 10.21272/bel.4(1).6-16.2020.
DOI: https://doi.org/10.21272/bel.4(1).6-16.2020
View in Google Scholar
Mody, A., Ohnsorge, F., & Sandri, D. (2012). Precautionary savings in the great recession. IMF Economic Review, 60(1), 114?138. doi: 10.1057/imfer.2012.5.
DOI: https://doi.org/10.1057/imfer.2012.5
View in Google Scholar
Mukhtarov, Sh., Yüksel, S., & Mammadov, E. (2018). Factors that increase credit risk of Azerbaijani banks. Journal of International Studies, 11(2), 63?75. doi: 10.14254/2071-8330.2018/11-2/5.
DOI: https://doi.org/10.14254/2071-8330.2018/11-2/5
View in Google Scholar
Nguyen, T., Polách, J., & Vozňáková, I. (2019). The role of financial literacy in retirement investment choice. Equilibrium. Quarterly Journal of Economics and Economic Policy, 14(4), 569?89. doi: 10.24136/eq.2019.027.
DOI: https://doi.org/10.24136/eq.2019.027
View in Google Scholar
Njegovanović, A. (2018). Neurological aspects of finance, transmitters, emotions, mirror neuronal activity in financial decision. Marketing and Management of Innovations, 3, 186?198. doi: 10.21272/mmi.2018.3-16.
DOI: https://doi.org/10.21272/mmi.2018.3-16
View in Google Scholar
Njegovanović, A. (2020). Financial decision making in the framework of neuroscience / anthropology with review to the pandemic and climate change. Financial Markets, Institutions and Risks, 4(4), 55?65. doi: 10.21272/fmir.4(4).55-65.2 020.
DOI: https://doi.org/10.21272/fmir.4(4).55-65.2020
View in Google Scholar
Nofsinger, J. (2012). Household behavior and boom/bust cycles. Journal of Financial Stability, 8(3), 161?173. doi: 10.1016/j.jfs.2011.05.004.
DOI: https://doi.org/10.1016/j.jfs.2011.05.004
View in Google Scholar
Owens, L. (2012). The Polls ? trends: confidence in banks, financial institutions, and Wall Street, 1971?2011. Public Opinion Quarterly, 76(1), 142?162. doi: 10.1093/poq/nfr059.
DOI: https://doi.org/10.1093/poq/nfr059
View in Google Scholar
Pažický, M. (2018). The consequences of unconventional monetary policy in Euro Area in times of monetary easing. Oeconomia Copernicana, 9(4), 581?615. doi: 10.24136/oc.2018.029.
DOI: https://doi.org/10.24136/oc.2018.029
View in Google Scholar
Praditha, R., Abdul Hamid Habbe, H., & Rura, Y. (2020). Do investors experience heuristics in earnings forecasting? Business: Theory and Practice, 21(2), 686?694. doi: 10.3846/btp.2020.12018.
DOI: https://doi.org/10.3846/btp.2020.12018
View in Google Scholar
Roth, F. (2009). The effect of the financial crisis on systemic trust. Intereconomics 44, 203?208. doi: 10.1007/s10272-009-0296-9.
DOI: https://doi.org/10.1007/s10272-009-0296-9
View in Google Scholar
Ryczkowski, M. (2019). Money, credit, house prices and quantitative easing ? the wavelet perspective from 1970 to 2016. Journal of Business Economics and Management, 20(3), 546?72. doi: 10.3846/jbem.2019.9859.
DOI: https://doi.org/10.3846/jbem.2019.9859
View in Google Scholar
Sági, J., Vasa, L., & Lentner, C. (2020). Innovative solutions in the development of households? financial awareness: a Hungarian example. Economics & Sociology, 13(3), 27?45. doi: 10.14254/2071-789x.2020/13-3/2.
DOI: https://doi.org/10.14254/2071-789X.2020/13-3/2
View in Google Scholar
Saima, T. (2019). Geopolitics of international relations, ethnic polarization and internal conflict: a case for Pakistan. SocioEconomic Challenges, 3(4), 25?38. doi: 10.21272/sec.3(4).25-38.2019.
DOI: https://doi.org/10.21272/sec.3(4).25-38.2019
View in Google Scholar
Sanchez, C. (2020). Poverty and inequality in access to housing in Mexico city during neoliberalism. SocioEconomic Challenges, 4(2), 31?43. doi: 10.21272/ sec.4(2).31-43.2020.
DOI: https://doi.org/10.21272/sec.4(2).31-43.2020
View in Google Scholar
Sani, N., & Rahim, A. (2015). Price to income ratio approach in housing affordability. Journal of Economics, Business and Management, 3(12), 1190?1193. doi: 10.7763/joebm.2015.v3.357.
DOI: https://doi.org/10.7763/JOEBM.2015.V3.357
View in Google Scholar
Savchenko, T., & Kovacs, L. (2017). Trust in the banking sector: EU experience and evidence from Ukraine. Financial Markets, Institutions and Risks, 1(1), 29?42. doi: 10.21272/fmir.1(1).29-42.2017.
DOI: https://doi.org/10.21272/fmir.1(1).29-42.2017
View in Google Scholar
Shiller, R. (2005). Irrational exuberance. Princeton University Press.
View in Google Scholar
Shiller, R. (2006). Long-term perspectives on the current boom in home prices. Economists? Voice, 3(4), 1?11. doi: 10.2202/1553-3832.1145.
DOI: https://doi.org/10.2202/1553-3832.1145
View in Google Scholar
Skomp, S. E., Cronan, T. P., & Seaver, W. L. (1986). On application of the rank transformation discrimination method to financial problems. Financial Review, 21(4), 473?484. doi: 10.1111/j.1540-6288.1986.tb01138.x.
DOI: https://doi.org/10.1111/j.1540-6288.1986.tb01138.x
View in Google Scholar
Soy Temür, A., Melek, A., & Günay, T. (2019). Predicting housing sales in Turkey using ARIMA, LSTM and hybrid models. Journal of Business Economics and Management, 20(5), 20?38. doi: 10.3846/jbem.2019.10190.
DOI: https://doi.org/10.3846/jbem.2019.10190
View in Google Scholar
Taliento, M., & Netti, A. (2020). Corporate social/environmental responsibility and value creation: reflections on a modern business management paradigm. Business Ethics and Leadership, 4(4), 123?131. doi: 10.21272/bel.4(4).123-131. 2020.
DOI: https://doi.org/10.21272/bel.4(4).123-131.2020
View in Google Scholar
Uygur, U., & Taş, O. (2014). The impacts of investor sentiment on different economic sectors: evidence from Istanbul Stock Exchange. Borsa Istanbul Review, 14(4), 236?241. doi: 10.1016/j.bir.2014.08.001.
DOI: https://doi.org/10.1016/j.bir.2014.08.001
View in Google Scholar
Václav, K., & Hampel, D. (2017). Predicting financial distress of agriculture companies in EU. Agricultural Economics (Zemědělská Ekonomika), 63(8), 347?355. doi: 10.17221/374/2015-agricecon.
DOI: https://doi.org/10.17221/374/2015-AGRICECON
View in Google Scholar
Van der Cruijsen, C., De Haan, J., & Ria, R. (2019). Financial knowledge and trust in financial institutions. De Nederlandsche Bank Working Paper, 662. doi: 10.2139/ssrn.3530886
DOI: https://doi.org/10.2139/ssrn.3530886
View in Google Scholar
Vasilyeva, T., Kuzmenko, O., Bozhenko, V., & Kolotilina, O. (2019). Assessing the dynamics of bifurcation transformations in the economy. SHS Web of Conferences, 65, 04006. doi: 10.1051/shsconf/20196504006.
DOI: https://doi.org/10.1051/shsconf/20196504006
View in Google Scholar
Vermeulen, R., Hoeberichts, M., & Vašíček, B. (2015). Financial stress indices and financial crises. Open Economies Review, 26, 383?406. doi: 10.1007/s11079-015-9348-x.
DOI: https://doi.org/10.1007/s11079-015-9348-x
View in Google Scholar
Vohra, J., & Pavleen, S. (2015). Logit modelling of food shopping behaviour of children in retail stores. Management Research Review, 38(8), 840?854. doi: 10.1108/MRR-03-2014-0061.
DOI: https://doi.org/10.1108/MRR-03-2014-0061
View in Google Scholar
Waqas, H., & Rohani, M. (2018). Predicting financial distress: importance of accounting and firm-specific market variables for Pakistan?s listed firms. Cogent Economics & Finance, 6(1), 1545739. doi: 10.1080/23322039.2018.1545739.
DOI: https://doi.org/10.1080/23322039.2018.1545739
View in Google Scholar
Yacob, N., Mustapha, M., Siti, M., & Fatin Farazh, Y. (2020). Incorporating investor behaviour in portfolio management in developed and emerging OECD stock markets. Polish Journal of Management Studies, 22(1), 611?625. doi: 10.1751 2/pjms.2020.22.1.39.
DOI: https://doi.org/10.17512/pjms.2020.22.1.39
View in Google Scholar
Yarovenko, H., Bilan, Y., Lyeonov, S., & Mentel, G. (2021). Methodology for assessing the risk associated with information and knowledge loss management. Journal of Business Economics and Management, 22(2), 369?387. doi: 10.3846/jbem.2021.13925.
DOI: https://doi.org/10.3846/jbem.2021.13925
View in Google Scholar
Yap, K. S., & Kirinpanu, S. (2000). Once only the sky was the limit: Bangkok's housing boom and the financial crisis in thailand. Housing Studies, 15(1), 11?27. doi: 10.1080/02673030082441.
DOI: https://doi.org/10.1080/02673030082441
View in Google Scholar
Zandi, G., Torabi, R., & Shamsudin, M. (2020). Trust, uncertainty and investment: an exploration of a hidden link. Polish Journal of Management Studies, 22(2), 594?607. doi: 10.17512/pjms.2020.22.2.39.
DOI: https://doi.org/10.17512/pjms.2020.22.2.39
View in Google Scholar
Zhang, Ch., Shen, J., & Rudai, Y. (2016). Housing affordability and housing vacancy in China: the role of income inequality. Journal of Housing Economics, 33, 4?14. doi: 10.1016/j.jhe.2016.05.005.
DOI: https://doi.org/10.1016/j.jhe.2016.05.005
View in Google Scholar
Zolkover, A., & Renkas, J. (2020). Assessing the level of macroeconomic stability of EU countries. SocioEconomic Challenges, 4(4), 175?182. doi: 10.21272/sec .4(4).175-182.2020.
DOI: https://doi.org/10.21272/sec.4(4).175-182.2020
View in Google Scholar
Zwerenz, D. (2018). The economic perspective of the changes in cost of capital on the behavior of real estate prices. Marketing and Management of Innovations, 4, 234?243. doi: 10.21272/mmi.2018.4-21.
DOI: https://doi.org/10.21272/mmi.2018.4-21
View in Google Scholar
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Copyright (c) 2021 Equilibrium. Quarterly Journal of Economics and Economic Policy
This work is licensed under a Creative Commons Attribution 4.0 International License.
