Relevant bibliographies by topics / Real estate price bubble

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Real estate price bubble'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Real estate price bubble"

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OHNISHI, TAKAAKI, TAKAYUKI MIZUNO, CHIHIRO SHIMIZU, and TSUTOMU WATANABE. "POWER LAWS IN REAL ESTATE PRICES DURING BUBBLE PERIODS." International Journal of Modern Physics: Conference Series 16 (January 2012): 61–81. http://dx.doi.org/10.1142/s2010194512007787.

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How can we detect real estate bubbles? In this paper, we propose making use of information on the cross-sectional dispersion of real estate prices. During bubble periods, prices tend to go up considerably for some properties, but less so for others, so that price inequality across properties increases. In other words, a key characteristic of real estate bubbles is not the rapid price hike itself but a rise in price dispersion. Given this, the purpose of this paper is to examine whether developments in the dispersion in real estate prices can be used to detect bubbles in property markets as the
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Oust, Are, and Ole Martin Eidjord. "International Real Estate Review." International Real Estate Review 23, no. 2 (2020): 267–308. http://dx.doi.org/10.53383/100302.

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The aim of this paper is to test whether Google search volume indices can be used to predict house prices and identify bubbles in the housing market. We analyze the data that pertain to the 2006?2007 U.S. housing bubble, taking advantage of the heterogeneous house price development in both bubble and non-bubble states in the U.S. Using 204 housing-related keywords, we test both single search terms and indices that comprise search term sets to see whether they can be used as housing bubble indicators. We find that several keywords perform very well as bubble indicators. Among all of the keyword
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Iancu, Laura Andreea, Andreea Elena Croicu, and Luana Cristina Rogojan. "An Investigation on Real Estate Market Dynamics and Bubble Formation Modeling." Proceedings of the International Conference on Business Excellence 17, no. 1 (2023): 1603–16. http://dx.doi.org/10.2478/picbe-2023-0144.

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Abstract A speculative bubble arises when the market price of a financial asset diverges from its fundamental value, resulting in abrupt and disproportionate hikes that cannot be rationally explained by its underlying intrinsic value. This behavior is often followed by market crashes, as observed during historical asset bubbles such as the Dutch Tulip Mania (1634-1637), the Mississippi bubble (1719-1720), the South Sea bubble (1720), the stock-market bubble of the US (1921-1929), the Japanese stock market and real estate bubbles (1986-1991), and the recent US housing bubble and the stock marke
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Brzezicka, Justyna, and Radosław Wisniewski. "Price Bubble In The Real Estate Market - Behavioral Aspects." Real Estate Management and Valuation 22, no. 1 (2014): 77–90. http://dx.doi.org/10.2478/remav-2014-0010.

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Abstract The article pertains to the topic of speculative price bubbles which arise in the real estate market. The individual parts of the article deal with the connection between the price bubble in the American real estate market and the global economic crisis, defining the concept of a price bubble with regard to the behaviors of market participants, providing a description of the environment generating price bubbles, and systematizing the reasons behind the formation of price bubbles. The analysis of behavioral aspects accompanying the existence of a price bubble is a key issue. The assume
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Brzezicka, Justyna. "Speculative Bubbles and their Components on the Real Estate Market–A Preliminary Analysis." Real Estate Management and Valuation 24, no. 1 (2016): 87–99. http://dx.doi.org/10.1515/remav-2016-0008.

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Abstract Various speculative phenomena arise on the real estate market, and the speculative bubble (SB) is one of the best known events of the type. Speculative bubbles still have many unidentified components, and are characterized by high research potential due to the multiple factors responsible for bubble creation, as well as considerable practical implications on account of the multivariate results describing the real estate market (REM) and its surroundings. Speculative price bubbles are associated mainly with changes in price trends on the real estate market. A thorough analysis of a spe
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Zhou, Yu, and Hongru Guo. "International Real Estate Review." International Real Estate Review 18, no. 3 (2015): 365–82. http://dx.doi.org/10.53383/100206.

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In this paper, monthly data from May 2004 to December 2011 are used to calculate the equilibrium housing price predicted by the economic fundamentals of Shenzhen and additional economic fundamentals of Hong Kong under the background of the Shenzhen Hong Kong cross-border integration. Equilibrium housing price is then compared against the actual housing price to test the degree of the Shenzhen housing price bubble during the studied period. We find that aided by the economic fundamentals of Hong Kong, the Shenzhen housing price can be better explained and the gap between the actual and equilibr
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Jia, Yuanzhi. "The Research of Real Estate Price Bubble in Case of Hengda Real Estate Company." Advances in Economics, Management and Political Sciences 106, no. 1 (2024): 306–11. http://dx.doi.org/10.54254/2754-1169/106/20241677.

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Real state bubble refers to a continuous process of abrupt increase of selling price which excesses value. Therefore the economy is so full of bubbles that cannot reflect material wealth. When the price is too high to afford by consumers, the whole industry have risk to collapse. In order to research reasons lead to real estate bubble, this paper uses liner regression method to explore factors that influence real state selling price. As a result, the real state selling price is positive relative to land price and resident disposable income and negatively relative to interest rate. Additionally
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Kloppenburg, Wolfgang. "Are Real Estate Prices Evolving into an Asset Price Bubble?" ACTA VŠFS 15, no. 1 (2021): 36–48. http://dx.doi.org/10.37355/acta-2021/1-02.

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The development of real estate prices is of extraordinary importance for the fi nancial and economic system, as undesirable developments could endanger fi nancial stability – as seen in the fi nancial crisis of 2008 and 2009. This applies not only to speculators, but also to private households, which have to borrow to pay the purchase price. The market has been “fueled” in particular by the monetary policy of the central banks – expansion of the money supply and low interest rates. Investors are looking for investment opportunities due to the money glut, and the real estate market still promis
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Deniz, Karakoyun Hulya. "Demand-side factors of housing price increases in Turkey: Blanchard-Quah SVAR model." Business and Economic Horizons 13, no. 2 (2017): 312–32. https://doi.org/10.15208/beh.2017.23.

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A bubble in the housing sector is defined as an unprecedented upsurge in house prices which cannot explained by fundamental determinants of the housing sector. This study examines demand-side factors of real estate sector in Turkey in order to expose whether house price increases in the country can be counted as a bubble. We use the Blanchard-Quah SVAR model to empirically reveal the relationships between the real mortgage interest rates, house price gap, price-rent-ratio and purchasing power parity. The results of the paper indicate that real interest rates and other varia
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Bago, Jean-Louis, Koffi Akakpo, Imad Rherrad, and Ernest Ouédraogo. "Volatility Spillover and International Contagion of Housing Bubbles." Journal of Risk and Financial Management 14, no. 7 (2021): 287. http://dx.doi.org/10.3390/jrfm14070287.

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This paper provides new empirical evidence on housing bubble timing, volatility spillover, and bubble contagion between Japan and its economic partners, namely, the United States, the Eurozone, and the United Kingdom. First, we apply a generalized sup ADF (GSADF) test to the quarterly price-to-rent ratio from 1970Q1 to 2018Q4 to detect explosive behaviors in housing prices. Second, we analyze the volatility spillover in housing prices between Japan and its economic partners using the multivariate time-varying DCC-GARCH model. Third, we assess bubble contagion by estimating a non-parametric mod
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Dissertations / Theses on the topic "Real estate price bubble"

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Pierce, Michael M. (Michael Murray). "Japanese Real Estate Investment Trusts : champagne bubbles or price bubble." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33179.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2005.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Includes bibliographical references (leaves 79-81).<br>In September 2001 the Japanese real estate industry marked a new era of real estate investments by issuing on the Tokyo Stock Exchange the first Japan Real Estate Investment Trust (JREIT). The initial JREIT performance was not so impressive. Now, as the Japanese economy continues to recover and
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Taube, Robin. "Prisbubblan på bostäder i Sverige- Existerar den? Vilka riskfaktorer kan orsaka ett prisfall?" Thesis, KTH, Fastigheter och byggande, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146333.

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Ordet bostadsbubbla spreds som en löpeld över världen efter den stora sub-primekrisen i USA 2008 som påverkade hela världens finansiella system. Sedan dess är oron för nya bubblor konstant närvarande. Denna uppsats kommer undersöka de argument som framförs för att en bostadsbubbla existerar i Sverige. Jag studerar den aktuella debatten och granskar argumenten som framförs. Existerar bostadsbubblan eller inte? Uppsatsen tar också reda på vilka riskfaktorer som skulle kunna orsaka ett prisfall på bostäder, oavsett om det råder en bostadsbubbla eller inte. En jämförelse mellan boendekostnaderna f
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Sádlo, Miroslav. "Příčiny a důsledky hypoteční krize v USA." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-4315.

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The theme of this thesis is the mortgage crisis in the United States which has started almost two years before after the burst of a price bubble in the American residential real estate market. The aim of the thesis is to analyze causes and implications of this crisis. The theoretical part of the thesis follows characteristics of the asset price bubbles. In this part is also a description of three theories: Austrian business cycle theory, Hyman Minsky's financial instability hypothesis and the theory of Robert Shiller, which interpret causes of bubbles in a variety of ways. The analytical part
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Banys, Raimondas. "Gyvenamojo būsto statybų kainų pokyčių įvertinimas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2009. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2006~D_20090907_190138-64163.

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Darbo tikslas – išanalizuoti gyvenamojo nekilnojamojo turto rinką ir įvertinti pagrindinius veiksnius veikiančius statybų kainas ir ištirti kokią įtaką daro atskiro regiono vystymasis. Tyrimo objektas - nekilnojamojo turto rinka Vilniuje, Kaune, Klaipėdoje ir Šiauliuose, tiksliau daugiabučių namų rinką. Darbas susideda iš trijų dalių: teorinės, analitinės ir empirinės. Pirmiausia pateikiama teorinė informacija apie nekilnojamojo turto rinką – nekilnojamojo turto rinkos charakteristikos ir samprata. Antrame skyriuje analizuojami demografiniai, socialiniai ir ekonominiai veiksniai Lietuvoje, ir
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Strömberg, Peter, Mattias Hedman, and Madeleine Broberg. "Forecasting the House Price Index in Stockholm County 2011-2014 : A multiple regression analysis of four influential macroeconomic variables." Thesis, Mälardalens högskola, Akademin för hållbar samhälls- och teknikutveckling, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-12600.

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Purpose of the research: The purpose is to forecast the future trend of housing prices in Stockholm County 2011-2014 based on estimated slope coefficients of selected explanatory variables 1993-2010. Thereafter, the obtained forecast will be discussed with respect to other non-quantifiable concepts within behavioral economics. Method: Multiple regression technique with a deductive and explorative approach. Empirical data: Quantitative. Conclusion: The future trend of housing prices in Stockholm County has been forecasted to be positively sloped throughout all the years 2011-2014, but in 2011,
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Kuzmicka, Jolita. "Nekilnojamojo turto rinka Lietuvoje 2000-2010 metais ir jos perspektyvos 2011-2013 metais." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2012. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20120124_134709-59343.

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Nekilnojamo turto (NT) rinka yra visos ekonomikos svarbi sudedamoji dalis. Tai specifinė rinka dėl investicinio prekės pobūdžio ir unikalumo. Šiame darbe apžvelgiama, kas yra turtas, kokia yra rinka, paklausa ir pasiūla, dalyviai bei ciklai, NT rinką įtakojantys veiksniai. Interpretuojama situacija susidariusi NT rinkoje Lietuvoje. Ekonominės sąlygos lemia, kad NT rinka visame pasaulyje pasiekė bumą ir turi pergyventi nuosmukį. Bumas/burbulas – situacija, kai kainos rinkoje formuojamos pirmiausia dėl psichologinių veiksnių ir atitrūksta nuo jas aiškinančių fundamentalių faktorių. Burbulas spro
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Lišková, Klára. "Finanční a ekonomická krize ve Španělsku." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-71831.

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This thesis is dedicated to the economic development in Spain in the times of the longlasting economic expansion which was terminated by the crisis in 2006-2007. The purpose is to summarize the development, identify the main factores causing the crisis and to evaluate the impacts. Great part of this thesis is dedicated to the sector of construction and the real estate market. It analyses the process of formation of the price bubble on the real estate market and its subsequent crack. The problematic internal situation was in a short time period exposed to the impacts of the global financial cri
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Patey, Julia. "Is the housing market in Sweden overrated? : A Study Of The Hypothetical Yield Of The Residential Real Estate In Stockholm." Thesis, Uppsala universitet, Nationalekonomiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-355240.

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This paper presents a method to value the residential real estate portfolio of an economy by summarizing the future discounted values of the net operating income. The motivation for this choice of subject is the concern for a house bubble in Sweden due to the double-digit rise in housing prices which the economy has experienced during many consecutive years. However, the method is general and can be applied anywhere where relevant statistics is available. The challenge to use an income approach to residential real estate valuation lies in the fact that there is no obvious net operating income,
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Škvor, Ondřej. "Cenové bubliny na trzích nemovitostí." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-359595.

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The diploma thesis deals with the occurence of price bubbles in the real estate markets and with the consequences resulting from their existence for the monetary policy authorities and for the macroprudential supervision. At first, the nature of price bubbles, the circumstances of their occurence and downfall and the possibilities of their identification are explained, while they are divided into rational and irrational bubbles. This is followed by the characteristics of the real estate market, by a description of its operation and by assessment of its specifics compared to the markets of othe
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Netto, Cássio Roberto Leite. "Condicionantes de preços dos imóveis residenciais nos municípios de São Paulo e Rio de Janeiro e a possibilidade de formação de bolhas imobiliárias." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/12/12136/tde-12082013-182331/.

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Este estudo tem como objetivo explorar e testar se os preços das moradias nas cidades de Rio de Janeiro e São Paulo podem ser explicados por um conjunto de indicadores econômicos selecionados, que inclui variáveis sociais e de custos de construção. Modelos de previsão de preços das residências foram construídos por meio da aplicação de análise fatorial seguida de regressão linear por mínimos quadrados ordinários. Estes modelos não cumpriram com todos os pressupostos estatísticos necessários. Alternativamente, para cada uma das cidades, foi obtido um modelo ajustado a partir da regressão das sé
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Books on the topic "Real estate price bubble"

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Talbott, John R. Sell now!: The end of the housing bubble. St. Martin's Griffin, 2006.

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Jarsulic, Marc. Anatomy of a financial crisis: A real estate bubble, runaway credit markets, and regulatory failure. Palgrave Macmillan, 2010.

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Jarsulic, Marc. Anatomy of a financial crisis: A real estate bubble, runaway credit markets, and regulatory failure. Palgrave Macmillan, 2012.

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Tegene, Abebayehu. The contribution of speculative bubbles to farmland prices. U.S. Dept. of Agriculture, Economic Research Service, 1990.

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Tegene, Abebayehu. The contribution of speculative bubbles to farmland prices. U.S. Dept. of Agriculture, Economic Research Service, 1990.

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Browne, F. X. Testing for a speculative bubblein Irish land prices. Central Bank of Ireland, Research Division, 1992.

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McKinney, Frank. Burst this!: Frank McKinney's bubble-proof real estate strategies. Health Communications, 2009.

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Frank, McKinney. Burst this!: Frank McKinney's bubble-proof real estate strategies. Health Communications, 2009.

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Ashenfelter, Orley. Testing for price anomalies in real estate auctions. National Bureau of Economic Research, 1992.

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Ashenfelter, Orley. Testing for price anomalies in real estate auctions. Dept. of Economics, Massachusetts Institute of Technology, 1992.

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Book chapters on the topic "Real estate price bubble"

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Girdzijauskas, Stasys, and Marius Dubnikovas. "Logistic Analysis of Price Bubble and Current Situation in USA Real Estate." In Business Information Systems Workshops. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15402-7_4.

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Jiadong, Wu. "Influence Mechanism of Contagion Effect of Asset Price Bubble between Markets—Take the Real Estate Market and the Stock Market, for Example." In Proceedings of the 2023 International Conference on Finance, Trade and Business Management (FTBM 2023). Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-298-9_43.

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Nanda, Anupam. "House price." In Residential Real Estate. Routledge, 2019. http://dx.doi.org/10.1201/9781315708645-4.

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Zheng, Ning, Bo Dong, and Rong Rong Shen. "Study of Real Estate Bubble Measurement." In Lecture Notes in Electrical Engineering. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4847-0_59.

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Björklund, Kicki, Bo Söderberg, and Mats Wilhelmsson. "An Investigation of Property Price Studies." In Real Estate Valuation Theory. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0909-7_4.

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Moss, Alex, and Kieran Farrelly. "Setting a target price." In Global Real Estate Capital Markets. Routledge, 2024. http://dx.doi.org/10.1201/9781003298564-16.

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García Morcillo, Marta. "Beyond Price." In The Real Estate Market in the Roman World. Routledge, 2023. http://dx.doi.org/10.4324/9781003187806-4.

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Wong, K. C., Albert T. P. So, and Y. C. Hung. "Neural Network vs. Hedonic Price Model: Appraisal of High-Density Condominiums." In Real Estate Valuation Theory. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0909-7_9.

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Cornuel, Didier, and Francis Calcoen. "The 1985–95 Cycle in Real Estate Markets: Bubble or Shock?" In Construction and Real Estate Dynamics. Palgrave Macmillan UK, 2003. http://dx.doi.org/10.1057/9780230001190_3.

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Yadav, Shilpa, Namrata Dhanda, Archana Sahai, Rajat Verma, and Sakshi Pandey. "Real Estate Price Prediction Using Machine Learning." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2710-4_9.

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Conference papers on the topic "Real estate price bubble"

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Dharmaraj, Kadam Prajwal, Pradeep Kumar Gupta, Keerthana Ajith, Mahi Kolli, Sangita Khare, and Niharika Panda. "Real Estate Price Prediction Using PySpark MLlib." In 2024 IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE). IEEE, 2024. http://dx.doi.org/10.1109/icspcre62303.2024.10675142.

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Mukherjee, Anupam, Rtwik Nambiar, and Deepjyoti Choudhury. "Machine Learning based Real Estate Price Prediction." In 2024 8th International Conference on Inventive Systems and Control (ICISC). IEEE, 2024. http://dx.doi.org/10.1109/icisc62624.2024.00067.

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"Hedging house price risk with futures contracts after the bubble burst." In 21st Annual European Real Estate Society Conference. ERES, 2014. http://dx.doi.org/10.15396/eres2014_5.

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Gao, Xiaohui. "Study on China Real Estate Price Bubble: Will It Burst Soon?" In 2011 International Conference on Management and Service Science (MASS 2011). IEEE, 2011. http://dx.doi.org/10.1109/icmss.2011.5998446.

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Branigan, Clare, and Paul Ryan. "Price Anchors and Residential Real Estate Bubbles." In 25th Annual European Real Estate Society Conference. European Real Estate Society, 2016. http://dx.doi.org/10.15396/eres2016_49.

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"Transaction-Based Price Indices for Commercial and Office Land in Japan: Intertemporal Difference in Implicit Prices during Bubble Period." In 10th European Real Estate Society Conference: ERES Conference 2003. ERES, 2003. http://dx.doi.org/10.15396/eres2003_300.

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Yang, Yanling. "Asset Price Bubble, Monetary Policy and System Design In the Perspective of China's Real Estate Bubble Prevention." In 2nd International Conference on Contemporary Education, Social Sciences and Humanities (ICCESSH 2017). Atlantis Press, 2017. http://dx.doi.org/10.2991/iccessh-17.2017.189.

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Pollock, Matthew. "A Metropolitan Analysis of Investor Herding and House Price Bubbles." In 29th Annual European Real Estate Society Conference. European Real Estate Society, 2023. http://dx.doi.org/10.15396/eres2023_187.

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Branigan, Clare, and Paul Ryan. "Auction Competitive Dynamics and Guide (List) Prices in a Bubble Market." In 25th Annual European Real Estate Society Conference. European Real Estate Society, 2018. http://dx.doi.org/10.15396/eres2018_24.

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Dong, Fan, and Zijing Wu. "Research on Real Estate Price Bubbles through Supply Variables." In ICCREM 2015. American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479377.092.

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Reports on the topic "Real estate price bubble"

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Peng, Fengshuo. A Research Framework for Real Estate Price’s Correlation with Real Estate Tax for The Effect of Real Estate Price and Most Influential Factor to Real Estate Price. Iowa State University, 2022. http://dx.doi.org/10.31274/cc-20240624-68.

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Ashenfelter, Orley, and David Genesove. Testing for Price Anomalies in Real Estate Auctions. National Bureau of Economic Research, 1992. http://dx.doi.org/10.3386/w4036.

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Bunten, Devin Michelle, and Matthew Kahn. The Impact of Emerging Climate Risks on Urban Real Estate Price Dynamics. National Bureau of Economic Research, 2014. http://dx.doi.org/10.3386/w20018.

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Zheng, Siqi, Jing Cao, and Matthew Kahn. China's Rising Demand for "Green Cities": Evidence from Cross-City Real Estate Price Hedonics. National Bureau of Economic Research, 2011. http://dx.doi.org/10.3386/w16992.

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Tetaz, Martín, Guillermo Cruces, and Andrés Ham. Quality of Life in Buenos Aires Neighborhoods: Hedonic Price Regressions and the Life Satisfaction Approach. Inter-American Development Bank, 2009. http://dx.doi.org/10.18235/0011267.

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This paper studies quality of life for urban neighborhoods and their determinants in the Buenos Aires Metropolitan Area (AMBA). First, hedonic price regressions for residential prices are augmented with neighborhood characteristics, based on a real estate database with indicators on each property's distance to public facilities and amenities, and on a smaller survey with greater detail. Second, following recent developments in the field of happiness research, the document assesses the importance of different neighborhood characteristics on quality of life by interacting objective and subjectiv
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Sinai, Todd, and Joseph Gyourko. The Asset Price Incidence of Capital Gains Taxes: Evidence from the Taxpayer Relief Act of 1997 and Publicly-Traded Real Estate Firms. National Bureau of Economic Research, 2000. http://dx.doi.org/10.3386/w7893.

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Стратійчук, І. О., та Володимир Миколайович Соловйов. Дослідження світової економічної кризи методами нелінійної динаміки. ПГАСА, 2008. http://dx.doi.org/10.31812/0564/1136.

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Світова економічна криза з кожним днем стає все більш масштабною, тому актуальним є питання створення і ефективне використання методів моніторингу, аналізу та прогнозування критичних і кризових явищ. Нами використано такі методи нелінійної динаміки [4]: ентропію подібності, кросс - рекурентний аналіз, вейвлет - ентропію, аналіз часової незворотності, дослідження волатильності та ін. Для даної роботи були знайдені відповідні індекси, які характеризують різні сфери економічної діяльності [1, 2]: DJIA – Dow Jones Industrial Average index , DJRESI – Dow Jones Real Estate index , EPI - European Pro
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Monetary Policy Report - January 2021. Banco de la República de Colombia, 2021. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr1.-2021.

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Macroeconomic Summary Overall inflation (1.61%) and core inflation (excluding food and regulated items) (1.11%) both declined beyond the technical staff’s expectations in the fourth quarter of 2020. Year-end 2021 forecasts for both indicators were revised downward to 2.3% and 2.1%, respectively. Market inflation expectations also fell over this period and suggested inflation below the 3% target through the end of this year, rising to the target in 2022. Downward pressure on inflation was more significant in the fourth quarter than previously projected, indicating weak demand. Annual decelerati
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