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Готові списки джерел за темами / Corsican real estate markets

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Автор: Grafiati

Опубліковано: 13 липня 2022

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Статті в журналах з теми "Corsican real estate markets":

1

Corgel, John B. "Hotel Real Estate Markets." Journal of Portfolio Management 31, no. 5 (September 30, 2005): 91–99. http://dx.doi.org/10.3905/jpm.2005.593891.

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2

Newell, Graeme. "The changing real estate market transparency in the European real estate markets." Journal of Property Investment & Finance 34, no. 4 (July 4, 2016): 407–20. http://dx.doi.org/10.1108/jpif-07-2015-0053.

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Purpose – Real estate market transparency is an important factor in real estate investment and occupier decision making. The purpose of this paper is to assess real estate transparency over 2004-2014 to determine whether the European real estate markets have become more transparent in a regional and global context. Design/methodology/approach – Using the JLL real estate transparency index over 2004-2014, changes in real estate market transparency are assessed for 102 real estate markets. This JLL real estate market transparency index is also assessed against corruption levels and business competitiveness in these markets. Findings – Improvements in real estate transparency are clearly evident in many European real estate markets, with several of these European real estate markets seen to be the major improvers in transparency from a global real estate markets perspective. Practical implications – Institutional investors and occupiers see real estate market transparency as a key factor in their strategic real estate investment and occupancy decision making. By assessing changes in real estate transparency across 102 real estate markets, investors and occupiers are able to make more informed real estate investment decisions across the global real estate markets. In particular, this relates to both investors and occupiers being able to more fully understand the risk dimensions of their international real estate decisions. Originality/value – This paper is the first paper to assess the dynamics of real estate market transparency over 2004-2014, with a particular focus on the 33 European real estate markets in a global context to facilitate more informed real estate investment and occupancy decision making.

3

Liow, Kim Hiang, and Felix Schindler. "International Real Estate Review." International Real Estate Review 17, no. 2 (August 31, 2014): 157–202. http://dx.doi.org/10.53383/100183.

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The primary contribution of this study is to comprehensively assess whether public real estate and stock markets are linked at the local, regional, and global levels, and assess the evolution of their dynamic relationship and gradual integration during the last two decades. For individual pairs of real estate and stock markets, our analysis shows that the current levels of local, regional, and global correlations between real estate and stock markets are time-varying, and at most, moderate at the respective integration levels. The real estate and stock markets are both contemporaneously and causally linked in their returns and volatilities; however, the causality relationship appears weaker. In the long run, the real estate markets have slowly become more integrated with the global and regional stock markets, while less integrated with the local stock markets. In addition, the extracted common factors allow for a direct assessment of the dynamic relationships between the real estate and stock markets as a group, and thereby complement the individual results. Finally, there appears to be a declining real estate and stock return dispersion and differential at the local, regional, and global levels for all nine economies studied in this research work, which indicate a tendency of return convergence between real estate and stock markets in the international environment.

4

Li, Zongyuan, and Rose Lai. "International Real Estate Review." International Real Estate Review 24, no. 1 (March 31, 2021): 19–58. http://dx.doi.org/10.53383/100315.

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This paper is about investigating how different bank liquidity creation activities affect housing markets. Using data of 401 metropolitan statistical areas/metropolitan statistical area divisions (MSAs/MSADs) of the U.S. between 1990 and 2018, we show that not all bank liquidity creation activities boost the housing markets. In particular, unlike assetside and off- balance sheet liquidity creations, funding-side liquidity creation dampens housing markets. The relationships between liquidity creation activities and housing markets are stronger in regions with inelastic house supply, but flip when banks face external liquidity shocks. We also find that housing markets dominated by large banks are more sensitive to off-balance sheet liquidity creation activities. Finally, as expected, asset-side and off-balance sheet liquidity creations boost housing markets by driving house prices away from fundamental values. Our results offer a more thorough explanation of how bank liquidity creation fuels the momentum of housing markets.

5

Liow, Kim, and Jeongseop Song. "International Real Estate Review." International Real Estate Review 22, no. 4 (December 31, 2019): 463–512. http://dx.doi.org/10.53383/100288.

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The market integration of real estate investment trusts (REITs) in the US and four Asian markets as well as between their local stock and REIT markets are investigated in this paper. Using a number of modern econometric techniques on three integration indictors/proxies: time-varying conditional correlations, dynamic risk connectivity (variance-covariance) and cause and effect dependency of linear /nonlinear spillover and connectedness, we find that the five REIT markets show less integration than their corresponding stock markets. Moreover, the modelling of the portfolio risk spillover and connectedness (with covariance) shows a higher average level of market integration for the Asian REIT group. The REIT markets have experienced some significant shifts in their net total and net-pairwise directional risk connectivity. Additionally, investors and policymakers are reminded that any modelling of the cause and effect dependency of the REIT markets should be implemented with linear regression equations and a nonlinear value at risk system in risk spillover and connectedness (with covariance). Finally, significant contagious effects are identified across the REIT markets and stock and REIT portfolios during the global financial crisis and China stock market crash.

6

Haran, Martin, Michael McCord, Peadar Davis, John McCord, Colm Lauder, and Graeme Newell. "European emerging real estate markets." Journal of Property Investment & Finance 34, no. 1 (February 1, 2016): 27–50. http://dx.doi.org/10.1108/jpif-04-2015-0024.

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Purpose – The purpose of this paper is to improve the transparency of European emerging real estate market dynamics and performance attributes in the wake of the 2007-2008 global financial crisis (GFC). The paper examines the extent and nature of inter-relationships between three emerging real estate markets namely, the Czech Republic, Hungary and Poland as well as determining the rationale for including emerging real estate markets within a Pan-European investment portfolio. The paper affords a timely update following the reinstatement of lending provision for European emerging real estate investment markets in 2014. Design/methodology/approach – The paper employs lead-lag correlations and Grainger causality to examine inter and intra relationships across three emerging European real estate markets, namely the Czech Republic, Hungary and Poland over the period 2006-2014. Optimal portfolio analysis is undertaken to explore the role of emerging real estate markets within the confines of a multi-asset investment portfolio as well as a Pan-European real estate investment portfolio. Findings – The findings demonstrate the opportunities afforded by the European emerging real estate markets in terms of both performance enhancement and risk diversification. Significantly, the findings highlight the lack of “uniformity” across the European emerging markets in terms of their investment potential, with Grainger causality confirming that the real estate markets in the Czech Republic, Hungary and Poland are not endogenous functions of one-another’s performance. Practical implications – This paper makes a considered contribution to the analytical interpretation of European emerging property market performance across the real estate cycle. The research demonstrates that the real estate markets in the Czech Republic, Hungary and Poland exhibit specific investment characteristics which differentiate them from the more developed real estate markets across Europe. Indeed emerging markets have the propensity to serve as both a risk diversifier as well as performance enhancer within the confines of a pan-European real estate investment portfolio. However, as the research clearly articulates, intricate understanding of the attributes afforded by the different emerging markets as well as the divergence in sectoral dynamics/performance is integral to portfolio allocation strategies. Originality/value – Robust academic research on Europe’s emerging real estate markets has been hampered by deficiencies in data provision. This study makes an innovative and timely contribution to redressing the research vacuum through delineated examination of the performance dynamics of three markets namely, the Czech Republic, Hungary and Poland, across the real estate cycle. The role and function of emerging markets is depicted within the confines of a Pan-European direct real estate investment portfolio at the all property level and in terms of sectoral specific allocations comprising retail, office and industrial. The explicit added value of the paper is the propensity to bench-mark the performance of emerging markets real estate markets on a like-for-like basis with developed real estate markets across Europe facilitating the exploration of the role and function of emerging real estate markets within a Pan-European investment context.

7

Schindler, Felix. "International Real Estate Review." International Real Estate Review 14, no. 1 (April 30, 2011): 27–60. http://dx.doi.org/10.53383/100133.

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This paper analyzes long- and short-term co-movements between 14 international real estate stock markets based on cointegration and correlation analyses. The results indicate that there exist strong long-term relationships within economic and geographical regions, but less long-run linkages between real estate markets in different continents. Thus, investors would benefit from broadening their investment horizon from their domestic continent to Australia, Europe, and North America. Furthermore, it is shown that within each region, there are one or two key markets that influence neighboring markets, such as Australia in the Asia-Pacific region, the US in the Anglo-Saxon countries, and France and the Netherlands in the European Monetary Union (EMU). Therefore, from an investor!|s point of view, it is implied that it should be sufficient to only focus on these central markets. With respect to the efficient market hypothesis, the findings by the cointegration analysis further question its validity for securitized real estate markets.

8

Fung, Hung-Gay. "Real Estate and Related Markets." Chinese Economy 47, no. 2 (March 2014): 3–4. http://dx.doi.org/10.2753/ces1097-1475470200.

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9

Louargand, Marc. "Information and Real Estate Markets." Journal of Real Estate Portfolio Management 4, no. 1 (January 1, 1998): 79–81. http://dx.doi.org/10.1080/10835547.1998.12089549.

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10

Li, Yuming. "International Real Estate Review." International Real Estate Review 2, no. 1 (June 30, 1999): 94–109. http://dx.doi.org/10.53383/100014.

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One of the most important issues in emerging markets is the timing and intensity of land development decisions and how these decisions affect property values. In these markets, newly developed office space and residential units often account for a substantial proportion of the aggregate supply of similar types of developed properties. In this article I use a real option model to study the land development problem faced by a central planner. The optimal capital intensity, the value of land and the post- development rents and property values in these markets are strikingly lower than the corresponding values in the markets where the demand is perfectly elastic. Furthermore, the optimal capital intensity and the value of land are most sensitive to the market demand conditions in the emerging markets experiencing the fastest growth or greatest uncertainty, or at times when interest rates or construction costs are lowest.

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Дисертації з теми "Corsican real estate markets":

1

Ling, Yuheng. "Corsican housing market analysis : Applications of bayesian hierarchical model." Thesis, Corte, 2020. http://www.theses.fr/2020CORT0011.

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Ce travail de thèse porte sur le développement de modèles économétriques/statistiques spatiaux pour analyser le marché immobilier en Corse. Concernant les contributions techniques, j'aborde dans ce travail la question de l'autocorrélation spatiale et temporelle dans le résidu de la régression linéaire classique qui peut conduire à des estimations biaisées. Les premières études empiriques utilisant des outils « a-spatiaux », tels que la méthode des moindres carrés ordinaires, ont ainsi probablement produit des estimations biaisées. Grâce à l’adoption de techniques basées sur l'économétrie spatiale, les économistes peuvent désormais gérer de manière plus efficace les problèmes liés à la présence d'autocorrélations dans les données. Cependant, la prise en compte de la dimension temporelle dans ce type de modèles demeure « floue » en raison du recours à des paramètres complexes qu’elle nécessite. Pour faire face à l'autocorrelation spatiale et temporelle, j’ai eu recours à l'application de modèles spatiotemporels hiérarchiques bayésiens. En termes d'économie régionale, j’ai utilisé les modèles hiérarchiques spatiotemporels bayésiens que j’ai développés pour évaluer le marché immobilier en Corse. En particulier, la question de savoir en quoi l’emplacement géographique affecte les caractéristiques du logement (prix, destination principale) constitue le cœur de cette thèse. Les sujets analysés sont complexes car ils traitent de questions allant de la prévision des prix de vente des appartements en Corse, à l'enquête sur les taux des résidences secondaires et à l'évaluation de l'impact de la vue sur mer. En outre, les fondements économiques de ces thématiques reposent sur la méthode des prix hédoniques, la prise en compte d’effets adjacents (adjacent effects) et d’effets d’entrainement (ripple effects). Enfin, j'identifie les points chauds (hot spots) et les points froids (cold spots) en termes de prix des appartements et de taux des résidences secondaires, et j’évalue l’impact de la vue sur mer (la mer Méditerranée dans le cadre de ce travail) et de l'accessibilité à la côte sur les prix des appartements. Ces résultats devraient fournir de précieuses informations pouvant aider à la prise de décision des planificateurs en matière d’urbanisation et des décideurs publics
This thesis focuses on the development of spatial econometric/statistical models that are used for analyzing the Corsican real estate market.Concerning technical contributions, I address the issue of spatial and temporal autocorrelation in the residual of classical linear regression that may yield biased estimates. Early empirical studies using “spaceless” tools such as OLS probably yield biased estimates. With the acceptance of spatial econometrics, regional scientists can better handle the autocorrelation in data. However, the temporal dimension remains unclear due to its complex settings. To tackle both spatial and temporal autocorrelation, I suggest applying Bayesian hierarchical spatiotemporal models.Regarding the contribution in terms of regional economics, the developed ad-hoc Bayesian spatiotemporal hierarchical models have been used to assess the Corsican housing market. In particular, how locations affect housing is the key issue in this thesis. The topics analyzed are complex because they deal with issues ranging from predicting Corsican apartment sales prices, investigating second home rates to assessing the impact of sea views. Furthermore, the economic underpinnings of these topics include the hedonic price method, the adjacent effects and the ripple effects.Finally, I identify “hot spots” and “cold spots” in terms of apartment prices and second home rates, and I also indicate that both the sea (Mediterranean Sea) view and the coast accessibility affect apartment prices. These findings should provide valuable information for planners and policymakers

2

DePasquale, Darin Richard 1965. "Global real estate markets." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/65712.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 1998.
Includes bibliographical references (leaves 75-76).
Whether in a bid to remain competitive or designed to elevate a populations standard of living, countries around the world are seeing the necessity to deregulate their financial systems and open their markets to international commerce. Real estate, traditionally a local investment to enhance individual financial wealth, has become a domestic and international vehicle for speculative institutional and private investment. This statistical study utilizes time series data on office market rents, public real estate stock indices and gross domestic product from 17 markets around the globe in an effort to shed light on national and international real estate trends. Specifically, the study searches for divergence within a domestic setting public and private real estate markets. Eights global markets consumer price index deflated office market rental rates from 1970 to 1998 are regressed against a publicly traded real estate corporation's stock or property index's performance. Next, an understanding of a local economies effect on the private real estate markets performance is sought by regressing the same time series of deflated office market rental rates against the economies gross domestic product. Finally we look for the existence of international real estate market correlation by examining trends in office market rental rates from 1970 to 1998 in all 17 global markets. Public real estate cycles in most global settings lead private market cycles in the majority of markets studied. In addition GDP appears to not affect a countries office markets performance. Analysis suggests market segmentation exists internationally for private real estate markets in most countries.
by Darin Richard DePasquale.
S.M.

3

Sun, Hua. "Three essays in real estate markets." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2876.

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In this dissertation, I examine two research questions. In chapters 2 and 3, based on idea of reference value that was first proposed by Kahneman and Tversky, I look at a potential house seller’s pricing strategy when the reference value plays a role. In chapter 2, I focus on the reference-dependence and its implications on loss aversion behavior, and I compare model predictions with documented empirical findings in the literature. In particular, I show that the stylized empirical evidence in the literature has relatively limited power on testing loss aversion, and I provide new specifications that aim to correctly test the loss aversion effect. In chapter 3, I examine a reference-dependent seller’s pricing strategy in a less heterogeneous housing market such as the multi-unit residential market. Acknowledging the fact that units in the same building serve as close substitutes for each other, I show that the recent transaction price on a unit in the same building may generate two signaling effects. First, the average willingness to pay among buyers is positively correlated with the observed price, which generates a spatio-temporal autocorrelation effect; second, after observing the prior price, the heterogeneity of the potential buyer’s willingness to pay decreases, inducing house sellers to mark down their asking prices. In chapter 4, I examine the power of monitoring and forcing contract on improving the managerial efficiency of REITs. I put particular emphasis on its implications regarding the choice of advisor type in REITs. I show that, for both internal and external advisors, increasing levels of monitoring power will increase their equilibrium effort under a stochastic forcing contract. Furthermore, I show that a crucial driving force regarding advisor choice is the heterogeneity of monitoring power between internal and external advisors and across REIT firms. Provided that the gap of monitoring power is large enough between internal and external advisors, shareholders could make use of the heterogeneity, and induce higher effort from external advisors. Hence, I am able to provide a theoretical justification regarding the potential appeal of an external managerial structure, which is usually regarded as being inferior to an internal managerial structure.

4

Nilsson, Pia. "Price Formation in Real Estate Markets." Doctoral thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Economics, Finance and Statistics, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-20736.

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This thesis includes an introductory chapter and four individual papers. The papers are held together by concepts associated with price formation in real estate markets, differentiated goods and the local character of land and housing markets. The first two papers focus on the markets for land and agricultural property and the two succeeding studies on housing markets. The first study examines regional variations of Swedish agricultural land prices. The associated empirical model follows the form of earlier literature in testing the influence of expected returns from the current agricultural use of land and the potential for non-agricultural use on prices. The use of market transacted land and the inclusion of decoupled income support to farmers, among a set of agricultural and non-agricultural factors, distinguishes this study from earlier empirical work. The second paper relates to the first by its focus on decoupled income support, but here the analysis extends to the micro level and to the study of price formation in the market for agricultural property. The study applies a spatial multilevel model to study variations in price determinants across and within local and regional markets. The third paper is devoted to the analysis of housing prices and their relation to open landscape amenities. The spatial analysis employs two geographical databases containing single-family home sales and preserved open spaces. In order to address the local character of urban housing markets and intraurban heterogeneity in amenity valuations the study applies a geographically weighted regression approach. The last paper focuses on the market for second homes with a particular emphasis on urban-rural interrelations. The paper is motivated by a growing demand for natural amenities and by the awareness that urban areas are becoming increasingly attractive markets for second homes.

5

Solórzano, M. Ricardo M. (Ricardo Miguel Solórzano Macías). "Housing markets : Mexico." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54864.

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Thesis (S.M.)--Massachusetts Institute of Technology, Program in Real Estate Development in Conjunction with the Center for Real Estate , 2009.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Vita. Cataloged from student submitted PDF version of thesis.
Includes bibliographical references (p. 58-59).
What, When and Where to Develop? The purpose of this study is to help find the major areas of opportunity for housing development and production in Mexico. The thesis intends to help developers in their eternal quest for the right product, location and timing. The answer to these questions will not only help developers with decision making regarding housing projects, but will be helpful to the industry as a whole. It will help lending institutions determine which projects to finance and will be a valuable tool for local and federal governments in determining which cities and income levels or housing products need higher government subsidy or support. The number of housing units sold in Mexico in the last decade has almost quadrupled, yet market forecasts generated by institutions and developers seem negligible. A greater effort to assess the housing demand and deficit has been made by private institutions and government entities which finance most housing sales in the country, while developers seem only to go as far as is necessary to secure financing for their respective projects. This study provides an outlook of the housing markets in Mexico and includes an analysis of what is currently being done to measure and forecast housing demand. The thesis concludes with rigorous economics analysis intended to forecast markets through a Vector Autoregression (VAR) Model. The model uses 15 years of historical data on housing prices, inventories and sales with economic and demographic variables to create forecasts for seven cities representing each of the seven regions the country was segmented into for the study.
by Ricardo M. Solórzano M.
S.M.

6

Schätz, Alexander. "Dynamics on real estate and emerging markets." kostenfrei, 2009. http://www.opus-bayern.de/uni-regensburg/volltexte/2009/1311/.

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7

Yang, Changyu. "Systematic Mispricing: Evidence from Real Estate Markets." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563272643127727.

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8

Katz, Omer S. M. Massachusetts Institute of Technology, and Kailash Gupta. "The tale of two markets : a comparison of performance between Class A properties in secondary markets and Class B properties in primary markets." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92606.

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Thesis: S.M. in Real Estate Development, Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estate, 2014.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (page 65).
As the number of investors in real estate expands and current investors increase their target allocations, we can expect to see a substantial increase in the investment pace in real estate for institutions. Investors seeking high yields have been shifting their focus away from core investments due to high prices and resulting low yields, and have started to look beyond core properties and core markets for opportunities. This thesis examines the historical performance of Class A buildings in secondary markets and Class B buildings in primary markets from 2005 to 2013. Historical performance data is used from NCREIF, and the CoStar database is used to classify each property as Class A or Class B. Through this study we hope to shed some light on the importance of location and asset type (Class A or Class B buildings) as determinants of returns in commercial real estate investments. An analysis of our empirical findings, on an aggregated basis of an entire real estate cycle (2005-2013), indicates that while office and multifamily properties have demonstrated similar behavior throughout the cycle, this has not been the case for industrial properties. In the case of office and multifamily properties, Class B buildings in primary markets have outperformed Class A properties in secondary markets and the NCREIF NPI. As opposed to these distinct results, in the case of industrial properties, Class A buildings in secondary markets have outperformed Class B properties in primary markets and the NCREIF NPI. One explanation for this unpredictable behavior might be associated with the substantial economic and physical differences of industrial properties, specifically when compared to office and multifamily properties. Another possible explanation of this result has to do with the relatively small size of NCREIF data on industrial properties, and, consequentially, the industrial property data in this thesis was comprised of merely 93 industrial properties. Based on the overall empirical findings of our study, a savvy real estate investor, who is dedicated to maximizing his long run returns, would be better off investing in office and multifamily properties in primary markets, and in industrial properties in secondary markets.
by Omer Katz and Kailash Gupta.
S.M. in Real Estate Development

9

Armerin, Fredrik. "Waiting in real options with applications to real estate development valuation." Licentiate thesis, KTH, Matematisk statistik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188145.

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In this thesis two dierent problems regarding real options are studied. The rst paper discusses the valuation of a timing option in an irreversible investment when the underlying model is incomplete. It is well known that in a complete model there is no nite optimal time at which to invest if the underlying asset, in our case the value of the developed project, does not pay out any strictly positive cash ows. In an incomplete model, the situation is dierent. Depending on the market price of risk in the model, there could be an optimal nite investment time even though the underlying asset does not pay out any strictly positive cash ows. Several examples of incomplete models are analyzed, and the value of the investment opportunity is calculated in each of them. The second paper concerns the valuation of random start American perpetual options. This type of perpetuate American option has the feature that it can not be exercised until a random time has occured. The reason for studying this type of option is that it provides a way of modelling the initiating of a project, e.g. the optimal time to build on a piece of land, which can not occur until a permit, or some other form of clearance, is given. The random time in the project application represents the time at which the permit is given. Two concrete examples of how to calculate the value of random start options is given.

QC 20160607

10

Edwards, Alden R. Jr. "Price segment indexing in southern office markets." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/103456.

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Thesis: S.M. in Real Estate Development, Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estate, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (page 26).
Real estate is traditionally defined as the space market but before any investor hones in on a geographic area or asset class in which to invest, they must understand their capital limitations. If an investor only has $1 OM to invest and an asset requires $60M in equity, it is reasonable to assume that it is unattainable. Considering such financial limitations the real estate market can be defined in terms of capital investment levels in addition to the traditional delineations of the space market. Investors typically analyze space markets and may benchmark asset prices to an index but these tools do not define the nuances of their particular capital investment level but rather depict a mean of previous or projected investment dynamics. This thesis explores the price dynamics of specific price segments in the Southern office markets of the United States. Regression analyses are used to tease out the marginal differences between price segments. Modeling commercial real estate price dynamics is typically done with a standard OLS repeat-sales regression and we will do the same here for a controlled baseline analysis. However, in order to comprehend the price dynamics of specific price segments within a market this thesis will use a quantile regression model to parse the price market into deciles. This model revealed significant varying degrees of price volatility across the deciles that increased from the lowest price cohort to the highest, confirming the hypothesis.
by Alden R. Edwards, Jr.
S.M. in Real Estate Development

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Книги з теми "Corsican real estate markets":

1

Lindahl, David. Emerging Real Estate Markets. New York: John Wiley & Sons, Ltd., 2008.

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2

Lindahl, David. Emerging Real Estate Markets. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/9781118257906.

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3

Suárez, José Luis. European Real Estate Markets. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230582460.

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4

Suárez, José Luis. European real estate markets. New York: Palgrave Macmillan, 2008.

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5

Just, Tobias, and Wolfgang Maennig, eds. Understanding German Real Estate Markets. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-23611-2.

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6

Just, Tobias, and Wolfgang Maennig. Understanding German real estate markets. Heidelberg: Springer, 2012.

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7

Just, Tobias, and Wolfgang Maennig, eds. Understanding German Real Estate Markets. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-32031-1.

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8

Wang, Bing, and Tobias Just, eds. Understanding China’s Real Estate Markets. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-49032-4.

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9

Wang, Bing, and Tobias Just, eds. Understanding China’s Real Estate Markets. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71748-3.

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Karam, Aly, François Viruly, Catherine Kariuki, and Victor A. Akujuru. Understanding African Real Estate Markets. London: Routledge, 2022. http://dx.doi.org/10.1201/9780429279256.

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Частини книг з теми "Corsican real estate markets":

1

Cline, Dale K., and Sandeep Mazumder. "Real estate." In Money, Banking, and Financial Markets, 121–36. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003251453-12.

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2

Suárez, José Luis. "Commercial Real Estate." In European Real Estate Markets, 50–81. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230582460_3.

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3

Nanda, Anupam. "Attributes of housing markets." In Residential Real Estate, 4–15. Abingdon, Oxon; New York, NY: Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.1201/9781315708645-2.

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4

Pöll, Eleonore. "Public Real Estate." In Understanding German Real Estate Markets, 375–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23611-2_25.

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5

Mourouzi-Sivitanidou, Rena, and Petros Sivitanides. "Residential real estate markets." In Market Analysis for Real Estate, 97–117. First Edition. | New York: Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429279409-8.

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6

Mourouzi-Sivitanidou, Rena, and Petros Sivitanides. "Residential real estate markets." In Market Analysis for Real Estate, 97–117. First Edition. | New York: Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.1201/9780429279409-8.

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Tiwari, Piyush, and Michael White. "European Real Estate Markets." In International Real Estate Economics, 105–25. London: Macmillan Education UK, 2010. http://dx.doi.org/10.1007/978-1-137-04908-7_6.

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Pekdemir, Dilek. "European Real Estate Markets Comparison." In European Real Estate, 5–42. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137436122_2.

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Oshikoya, Temitope W., and Kehinde Durosinmi-Etti. "Real estate finance." In Frontier Capital Markets and Investment Banking, 214–30. 1 Edition. | New York : Routledge, 2019. | Series: Banking, money and international finance: Routledge, 2019. http://dx.doi.org/10.4324/9780429200519-12.

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Suárez, José Luis. "Introduction." In European Real Estate Markets, 1–7. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230582460_1.

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Тези доповідей конференцій з теми "Corsican real estate markets":

1

"Real Estate Markets." In 11th European Real Estate Society Conference: ERES Conference 2004. ERES, 2004. http://dx.doi.org/10.15396/eres2004_560.

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2

Komu, Felician. "Lubricating Real Estate Markets in Tanzani." In 12th African Real Estate Society Conference. African Real Estate Society, 2012. http://dx.doi.org/10.15396/afres2012_131.

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3

"Macro analysis of real estate markets." In 11th European Real Estate Society Conference: ERES Conference 2004. ERES, 2004. http://dx.doi.org/10.15396/eres2004_225.

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4

Anim-Odame, Wilfred. "African Property Markets in Comparison." In 13th African Real Estate Society Conference. African Real Estate Society, 2013. http://dx.doi.org/10.15396/afres2013_108.

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5

Newell, Graeme. "The Changing Real Estate Market Transparency in the European Real Estate Markets." In 22nd Annual European Real Estate Society Conference. European Real Estate Society, 2015. http://dx.doi.org/10.15396/eres2015_8.

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"Mortgage Markets in Asia." In 2005 European Real Estate Society conference in association with the International Real Estate Society: ERES Conference 2005. ERES, 2005. http://dx.doi.org/10.15396/eres2005_273.

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"VALUATION IN EMERGING MARKETS." In 2006 European Real Estate Society conference in association with the International Real Estate Society: ERES Conference 2006. ERES, 2006. http://dx.doi.org/10.15396/eres2006_317.

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Orlando, Anthony. "Asset Markets, Credit Markets, and Inequality: Distributional Changes in Housing, 1970-2016." In 25th Annual European Real Estate Society Conference. European Real Estate Society, 2018. http://dx.doi.org/10.15396/eres2018_182.

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Kundu, Allan. "Diversification Opportunities in African Real Estate Markets." In 12th African Real Estate Society Conference. African Real Estate Society, 2012. http://dx.doi.org/10.15396/afres2012_130.

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"Data Dilemmas in European Real Estate Markets." In 14th Annual European Real Estate Society Conference: ERES Conference 2007. ERES, 2007. http://dx.doi.org/10.15396/eres2007_250.

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Звіти організацій з теми "Corsican real estate markets":

1

Case, Bradford, William Goetzmann, and K. Geert Rouwenhorst. Global Real Estate Markets - Cycles and Fundamentals. Cambridge, MA: National Bureau of Economic Research, February 2000. http://dx.doi.org/10.3386/w7566.

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2

Garmaise, Mark, and Tobias Moskowitz. Confronting Information Asymmetries: Evidence from Real Estate Markets. Cambridge, MA: National Bureau of Economic Research, April 2002. http://dx.doi.org/10.3386/w8877.

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3

Kurlat, Pablo, and Johannes Stroebel. Testing for Information Asymmetries in Real Estate Markets. Cambridge, MA: National Bureau of Economic Research, January 2014. http://dx.doi.org/10.3386/w19875.

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4

Aizenman, Joshua, and Yothin Jinjarak. Current Account Patterns and National Real Estate Markets. Cambridge, MA: National Bureau of Economic Research, April 2008. http://dx.doi.org/10.3386/w13921.

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5

Nelson, Arthur, Robert Hibberd, and Kristina Currans. Transit Impacts on Jobs, People and Real Estate. Transportation Research and Education Center (TREC), 2021. http://dx.doi.org/10.15760/trec.258.

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Анотація:

This report is comprised of five substantive elements. The first is crafting a scientifically sound framework for identifying landscapes within the metropolitan areas we studied. The second is applying those Place Typologies and spatial analysis to economic and demographic change for the transit system in each metropolitan area. The third is analyzing how real estate markets respond to transit system proximity with special reference to the Place Typologies. Fourth, this is followed by specialized studies into how urban form and society are shaped by transit systems. The fifth is providing an overall perspective of our research as well as a framework for unlocking the potential to leverage economic benefits of transit to advance social well-being.

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Hendershott, Patric. Rental Adjustment & Valuation of Real Estate in Overbuilt Markets: Fundamental vs. Reported Office Market Values in Sydney Australia. Cambridge, MA: National Bureau of Economic Research, June 1994. http://dx.doi.org/10.3386/w4775.

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7

Qvist Eliasen, Søren, Louise Ormstrup Vestergård, Hjördís Rut Sigurjónsdóttir, Eeva Turunen, and Oskar Penje. Breaking the downward spiral: Improving rural housing markets in the Nordic Region. Nordregio, September 2020. http://dx.doi.org/10.6027/pb2020:4.2001-3876.

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Анотація:

Housing issues usually play a major role in urban studies, but are often overlooked as a factor in rural development. This policy brief explores aspects of the dynamics of the ‘frozen’ rural housing market in the Nordic Region, with a specific focus on the role of financing, the part played by municipalities and the potential benefits of a larger rental market.Housing is generally seen as a human right, a consumable that serves as the framework for our lives. However, at the same time, real estate is a financial commodity on the market. In many rural areas, the market value of houses is low – often considerably below the cost of construction. In consequence, it is very difficult to obtain loans to build or buy. This ‘freezes’ the market and has a strong impact on rural development overall, in effect acting as a boost to the trend towards urbanisation and the depopulation of rural areas. We will explore ways to counteract this dynamic.

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Mitra, Sudeshna, Amlanjyoti Goswami, Deepika Jha, Sahil Sasidharan, Kaye Lushington, and Mukesh Yadav. Land Records Modernisation in India: Haryana. Indian Institute for Human Settlements, 2021. http://dx.doi.org/10.24943/9788195648511.

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This work provides an institutional, legal and policy review of crucial aspects of land records modernisation systems in Haryana. The state offers a unique window into the regional diversity of land systems in India; it underwent a large-scale land consolidation exercise in 1950s, and features rectangular land parcels of equal area, and a share-system of joint landholdings with limited spatial demarcation. Technologically, the state has an integrated system of land record management, and continues to make advances. Haryana is also one of the country’s most prolific real estate markets, attracting some of the largest private sector investment. However, the land records management system remains primarily rural, and does not yet capture the realities of an urban property landscape and the transition into a fragmented, individualised private property system.