Cycles of the Housing Market in Hungary from the Economic Crisis until Today

László  Harnos

László Harnos

Ključne besede: trg nepremičnin, cikli stanovanjskega trga, cenovni balon dobrin

Povzetek

Ključni cilj tega članka je prepoznati osnovne razloge za ciklični značaj madžarskega stanovanjskega trga, še posebej poslovnih ciklov, gradbenih projektov in pričakovanj tržnih udeležencev. Raziskava temelji na analizi statističnih podatkov in indeksov stanovanjskega trga. Izsledki raziskave kažejo, da je cikličnost stanovanjskega trga možno pojasniti pretežno s poslovnimi cikli, vendar državne subvencije in hipoteke prav tako vplivajo na variacije. Torej lahko naraščajoče posojanje in visok znesek subvencij ustvarjata cenovni balon. Ponudba rabljenih stanovanj izkazuje večjo prilagodljivost kot ponudba novih stanovanj. Kakorkoli, pričakovanja tržnih udeležencev nimajo jasnega učinka na stanovanjski trg.

Prenosi

Podatki o prenosih še niso na voljo.

Biografija avtorja

László Harnos

PhD student at the Lámfalussy Sándor Department of Economics, University of Sopron, Hungary
E-pošta: easy.harnos@gmail.com

László Harnos is a PhD candidate of István Széchenyi Management and Organisation Sciences Doctoral School at Lámfalussy Sándor Department of Economics, University of Sopron, Hungary. He received his MSc in business and management in 2009 at the Faculty of Economic and Social Sciences, Budapest University of Technology and Economics, Hungary. He teaches finance and real estate valuation in vocational training. His research topics include real estate economics and regional and urban development.

Literatura

Ascheberg, M., Jarrow, R. A., Kraft, H., Yildirim, Y. (2014). Government policies, residential mortgage defaults and the boom and bust cycle of housing prices. Real Estate Economics, 42, 627-661. https://doi.org/10.1111/1540-6229.12041

Békés, G., Horváth, Á., & Sápi, Z. (2016). Residential real estate prices and settlement differences (In Hungarian: Lakóingatlanárak és települési különbségek). Economic Review, 63, 1289-1323.

Davidoff, T. (2013). Supply elasticity and the housing cycle of the 2000s. Real Estate Economics, 41, 793-813. https://doi.org/10.1111/1540-6229.12019

DiPasquale, D., & Wheaton, W. C. (1992). The markets for real estate assets and space: A conceptual framework. Journal of the American Real Estate and Urban Economics Association, 20, 181-197. https://doi.org/10.1111/1540-6229.00579

Farkas M., Horváth Á., & Vincze J. (2010). Agent learning in the housing market’s Wheaton model (In Hungarian: Ágens alapú tanulás a lakáspiac Wheaton-féle modelljében). The 4th Annual Conference of the Hungarian Society of Economics, Working paper,1-16.

Gudell, S. (2018. január 3). Total value of all U.S. homes. Forbes. Retrieved from https://www.forbes.com/sites/zillow/2018/01/03/total-value-of-all-u-s-homes-31-8-trillion/#51afa7793ca8

Hegedüs, J. (2006). Housing policy and housing market – limitations of public policy (In Hungarian: Lakáspolitika és lakáspiac – a közpolitika korlátai). Esély: Social Policy Journal, 17(5), 65-100.

Horváth, Á., Révész, G., & Sápi, Z. (2016). Yields, take-up, vacancy, rents and new supply during office market cycles (In Hungarian: Irodapiaci ciklusok jellemzése a hozam, a bérleti forgalom, az üresedés, a bérleti díjak és az új átadás alapján). Economic Review, 63, 113-136.

Kiss, G., & Vadas, G. (2006). The role of the housing market in monetary transmisson (In Hungarian: A lakáspiac szerepe a monetáris transzmisszióban). Economic Review, 53, 408-427.

KSH (2017a). Yearbook of industrial and construction statistics, 2016 (In Hungarian: Ipari és építőipari statisztikai évkönyv, 2016). Budapest: Hungarian Central Statistical Office.

KSH (2017b). Statistical mirror: Housing prices, housing price index, Quarter 3 2017 (In Hungarian: Statisztikai Tükör: Lakáspiaci árak, lakásár- index, 2017. III. negyedév). Budapest: Hungarian Central Statistical Office.

KSH (2017c). Statistical mirror: Housing credits, Half 1 2017 (In Hungarian: Lakossági lakáshitelezés, 2017. I. félév). Budapest: Hungarian Central Statistical Office.

KSH (2018). Built dwellings, ceased dwellings, built resorts (In Hungarian: Lakásépítés, lakásmegszűnés, üdülőépítés). Retrieved from http://www.ksh.hu/docs/hun/xstadat/xstadat_evkozi/e_zrs001.html

Lakos, G., & Szendrei, T. (2017). The explanation of asset price bubbles (In Hungarian: Az eszközárbuborékok magyarázatai). Financial and Economic Review, 16(4), 122-150.

Mádi, L. (2008). Housing policy – home building: Events and experiences from the recent past of Hungary (In Hungarian: Lakáspolitika – ot- thonteremtés: Történések és tapasztalatok a közelmúlt magyarországi időszakából) (Doctoral dissertation). Retrieved from http://www.nyme.hu/fileadmin/dokumentumok/ktk/Kepzes_doktori/2008/2008_MadiLaszlo_d.pdf

Meen, G. (2000). Housing cycles and efficiency. Scottish Journal of Political Economy, 47(2), 114-140. https://doi.org/10.1111/1467-9485.00156

Neng Lai, R., & Van Order, R. (2017). U.S. house prices over the last 30 years: Bubbles, regime schifts and market (in)efficiency. Real Estate Economics, 45, 259-300. https://doi.org/10.1111/1540-6229.12127

Smith, B. A., & Tesarek, W. P. (1991). House prices and regional real estate cycles: Market adjustments in Houston. AREUEA Journal, 19,396-416. https://doi.org/10.1111/1540-6229.00559

U.S. Census Bureau. (2017). Monthly construction spending, December 2017. Letöltve: https://www.census.gov/construction/c30/pdf/pr201712.pdfml

Wheaton, W. C. (1999). Real estate “cycles”: Some fundamentals. Real Estate Economics, 27, 209-230. https://doi.org/10.1111/1540-6229.00772

Zhou, J. (2010). Testing for cointegration between house prices and economic fundamentals. Real Estate Economics, 38, 599-632. https://doi.org/10.1111/j.1540-6229.2010.00273.x