Pub Date : 2021-02-25DOI: 10.1108/JPIF-01-2021-0009
Bo Nordlund, J. Lorentzon, H. Lind
The purpose of this article is to study how fair values in financial reports are audited.,The study is a qualitative case study based on in-depth interviews.,One important finding is that auditors anchor in the figure presented by the company, and despite the auditing efforts, there is a substantial risk of management bias in the fair values reported. There is a risk for confirmation bias.,Relatively, few respondents were employed in this study, but their background and competence lead to the assessment that the study provides a representative picture of what is being investigated.,Auditors may need to develop ways of performing auditing of fair values to reduce the risks identified in this study.,This study presents a perspective of the auditing process enabling an evaluation of the quality of fair value estimates regarding investment properties in the financial reports. This study also provides users of financial reports as investors, bankers and other institutions with an enhanced understanding of reported estimates of fair (market) values.,Very few studies have investigated how auditors evaluate fair values of investment properties. This study contributes by giving users of financial reports an enhanced understanding of the quality of reported estimates of fair (market) values.
{"title":"A note on auditing fair value of investment properties","authors":"Bo Nordlund, J. Lorentzon, H. Lind","doi":"10.1108/JPIF-01-2021-0009","DOIUrl":"https://doi.org/10.1108/JPIF-01-2021-0009","url":null,"abstract":"The purpose of this article is to study how fair values in financial reports are audited.,The study is a qualitative case study based on in-depth interviews.,One important finding is that auditors anchor in the figure presented by the company, and despite the auditing efforts, there is a substantial risk of management bias in the fair values reported. There is a risk for confirmation bias.,Relatively, few respondents were employed in this study, but their background and competence lead to the assessment that the study provides a representative picture of what is being investigated.,Auditors may need to develop ways of performing auditing of fair values to reduce the risks identified in this study.,This study presents a perspective of the auditing process enabling an evaluation of the quality of fair value estimates regarding investment properties in the financial reports. This study also provides users of financial reports as investors, bankers and other institutions with an enhanced understanding of reported estimates of fair (market) values.,Very few studies have investigated how auditors evaluate fair values of investment properties. This study contributes by giving users of financial reports an enhanced understanding of the quality of reported estimates of fair (market) values.","PeriodicalId":46429,"journal":{"name":"Journal of Property Investment & Finance","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41605398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-19DOI: 10.1108/JPIF-03-2020-0031
B. Brotman
PurposeThis paper, a case study, aims to consider whether the income ratio and rental ratio tracks the formation of residential housing price spikes and their collapse. The ratios are measuring the risk associated with house price stability. They may signal whether a real estate investor should consider purchasing real property, continue holding it or consider selling it. The Federal Reserve Bank of Dallas (Dallas Fed) calculates and publishes income ratios for Organization for Economic Cooperation and Development countries to measure “irrational exuberance,” which is a measure of housing price risk for a given country's housing market. The USA is a member of the organization. The income ratio idea is being repurposed to act as a buy/sell signal for real estate investors.Design/methodology/approachThe income ratio calculated by the Dallas Fed and this case study's ratio were date-stamped and graphed to determine whether the 2006–2008 housing “bubble and burst” could be visually detected. An ordinary least squares regression with the data transformed into logs and a regression with structural data breaks for the years 1990 through 2019 were modeled using the independent variables income ratio, rent ratio and the University of Michigan Consumer Sentiment Index. The descriptive statistics show a gradual increase in the ratios prior to exposure to an unexpected, exogenous financial shock, which took several months to grow and collapse. The regression analysis with breaks indicates that the income ratio can predict changes in housing prices using a lead of 2 months.FindingsThe gradual increases in the ratios with predetermine limits set by the real estate investor may trigger a sell decision when a specified rate is reached for the ratios even when housing prices are still rising. The independent variables were significant, but the rent ratio had the correct sign only with the regression with time breaks model was used. The housing spike using the Dallas Fed's income ratio and this study's income ratio indicated that the housing boom and collapse occurred rapidly. The boom does not appear to be a continuous housing price increase followed by a sudden price drop when ratio analysis is used. The income ratio is significant through time, but the rental ratio and Consumer Sentiment Index are insignificant for multiple-time breaks.Research limitations/implicationsInvestors should consider the relative prices of residential housing in a neighborhood when purchasing a property coupled with income and rental ratio trends that are taking place in the local market. High relative income ratios may signal that when an unexpected adverse event occurs the housing market may enter a state of crisis. The relative housing prices to income ratio indicates there is rising housing price stability risk. Aggregate data for the country are used, whereas real estate prices are also significantly impacted by local conditions.Practical implicationsRatio trends might enable rea
{"title":"Property investor decisions using income and rental ratio signals","authors":"B. Brotman","doi":"10.1108/JPIF-03-2020-0031","DOIUrl":"https://doi.org/10.1108/JPIF-03-2020-0031","url":null,"abstract":"PurposeThis paper, a case study, aims to consider whether the income ratio and rental ratio tracks the formation of residential housing price spikes and their collapse. The ratios are measuring the risk associated with house price stability. They may signal whether a real estate investor should consider purchasing real property, continue holding it or consider selling it. The Federal Reserve Bank of Dallas (Dallas Fed) calculates and publishes income ratios for Organization for Economic Cooperation and Development countries to measure “irrational exuberance,” which is a measure of housing price risk for a given country's housing market. The USA is a member of the organization. The income ratio idea is being repurposed to act as a buy/sell signal for real estate investors.Design/methodology/approachThe income ratio calculated by the Dallas Fed and this case study's ratio were date-stamped and graphed to determine whether the 2006–2008 housing “bubble and burst” could be visually detected. An ordinary least squares regression with the data transformed into logs and a regression with structural data breaks for the years 1990 through 2019 were modeled using the independent variables income ratio, rent ratio and the University of Michigan Consumer Sentiment Index. The descriptive statistics show a gradual increase in the ratios prior to exposure to an unexpected, exogenous financial shock, which took several months to grow and collapse. The regression analysis with breaks indicates that the income ratio can predict changes in housing prices using a lead of 2 months.FindingsThe gradual increases in the ratios with predetermine limits set by the real estate investor may trigger a sell decision when a specified rate is reached for the ratios even when housing prices are still rising. The independent variables were significant, but the rent ratio had the correct sign only with the regression with time breaks model was used. The housing spike using the Dallas Fed's income ratio and this study's income ratio indicated that the housing boom and collapse occurred rapidly. The boom does not appear to be a continuous housing price increase followed by a sudden price drop when ratio analysis is used. The income ratio is significant through time, but the rental ratio and Consumer Sentiment Index are insignificant for multiple-time breaks.Research limitations/implicationsInvestors should consider the relative prices of residential housing in a neighborhood when purchasing a property coupled with income and rental ratio trends that are taking place in the local market. High relative income ratios may signal that when an unexpected adverse event occurs the housing market may enter a state of crisis. The relative housing prices to income ratio indicates there is rising housing price stability risk. Aggregate data for the country are used, whereas real estate prices are also significantly impacted by local conditions.Practical implicationsRatio trends might enable rea","PeriodicalId":46429,"journal":{"name":"Journal of Property Investment & Finance","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45207498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-12DOI: 10.1108/JPIF-04-2020-0040
T. Lambourne
PurposeThe purpose of this paper is to determine if there is an impact of sustainability on the market in terms of a green premium or a brown discount on the price of commercial and residential real estate. It also seeks to identify the incentives and barriers for sustainable developments perceived by real estate professionals.Design/methodology/approachThe paper investigates the impact of sustainability features on the valuation of buildings in the United Arab Emirates (UAE). The study uses a qualitative structured questionnaire to determine the views of certified real estate valuers and advisors on this subject.FindingsThe results suggest a green premium of at least 1% in the UAE, coming from both supply-side and demand-side, and in commercial and residential sectors. Key barriers for the recognition of green building value include availability of reliable market data, lack of relevant technical skills and apparent client disinterest. Initiatives that would encourage green buildings include financial incentives for key stakeholders, raising and enforcing building standards, and higher energy prices. This paper identifies policy measures that local authorities may consider in transforming to a more sustainable economy. It is expected that such changes would convey to the real estate industry and affiliated stakeholders the financial benefits to be gained from investing in green buildings.Research limitations/implicationsThe UAE is not a transparent environment in terms of building prices and rents, and it can be challenging even for experienced professionals to determine whether an observed higher value can truly be considered a green premium. The second issue is that the results may be affected by a “voluntary response bias”, whereby recipients who are interested in sustainability are more likely to have responded to the survey.Practical implicationsThis paper identifies policy measures that local authorities may consider in transforming to a more sustainable economy. It is expected that such changes would convey to the real estate industry and affiliated stakeholders the financial benefits to be gained from investing in green buildings.Originality/valueMost research exploring the value of green buildings originates from developed economies and its applicability to the Middle East is questionable due to its differing origins and unusual development path. This article offers new insights into an under-researched market.
{"title":"Valuing sustainability in real estate: a case study of the United Arab Emirates","authors":"T. Lambourne","doi":"10.1108/JPIF-04-2020-0040","DOIUrl":"https://doi.org/10.1108/JPIF-04-2020-0040","url":null,"abstract":"PurposeThe purpose of this paper is to determine if there is an impact of sustainability on the market in terms of a green premium or a brown discount on the price of commercial and residential real estate. It also seeks to identify the incentives and barriers for sustainable developments perceived by real estate professionals.Design/methodology/approachThe paper investigates the impact of sustainability features on the valuation of buildings in the United Arab Emirates (UAE). The study uses a qualitative structured questionnaire to determine the views of certified real estate valuers and advisors on this subject.FindingsThe results suggest a green premium of at least 1% in the UAE, coming from both supply-side and demand-side, and in commercial and residential sectors. Key barriers for the recognition of green building value include availability of reliable market data, lack of relevant technical skills and apparent client disinterest. Initiatives that would encourage green buildings include financial incentives for key stakeholders, raising and enforcing building standards, and higher energy prices. This paper identifies policy measures that local authorities may consider in transforming to a more sustainable economy. It is expected that such changes would convey to the real estate industry and affiliated stakeholders the financial benefits to be gained from investing in green buildings.Research limitations/implicationsThe UAE is not a transparent environment in terms of building prices and rents, and it can be challenging even for experienced professionals to determine whether an observed higher value can truly be considered a green premium. The second issue is that the results may be affected by a “voluntary response bias”, whereby recipients who are interested in sustainability are more likely to have responded to the survey.Practical implicationsThis paper identifies policy measures that local authorities may consider in transforming to a more sustainable economy. It is expected that such changes would convey to the real estate industry and affiliated stakeholders the financial benefits to be gained from investing in green buildings.Originality/valueMost research exploring the value of green buildings originates from developed economies and its applicability to the Middle East is questionable due to its differing origins and unusual development path. This article offers new insights into an under-researched market.","PeriodicalId":46429,"journal":{"name":"Journal of Property Investment & Finance","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2021-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47742510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-10DOI: 10.1108/jpif-03-2021-171
Larry Wofford, David Wyman, Elaine M. Worzala
{"title":"Guest editorial","authors":"Larry Wofford, David Wyman, Elaine M. Worzala","doi":"10.1108/jpif-03-2021-171","DOIUrl":"https://doi.org/10.1108/jpif-03-2021-171","url":null,"abstract":"","PeriodicalId":46429,"journal":{"name":"Journal of Property Investment & Finance","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2021-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48393506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-05DOI: 10.1108/jpif-07-2020-0085
Kanis Saengchote, Chittisa Charoenpanich
PurposeThe purpose of this article is to investigate the relationship between cash flow uncertainty and the underpricing of real estate investment trust (REIT) initial public offerings (IPOs) using hand-collected data on income guarantee in Thailand from January 2005 to December 2019.Design/methodology/approachThis article uses linear regression to determine the relationship between underpricing (initial return) and proxy for cash flow uncertainty (income guarantee), controlling for other factors. Because issuers can use several actions to signal their quality under asymmetric information, the joint decisions are analyzed as simultaneous equations and estimated using three-stage least square (3SLS) to address potential endogeneity concern.FindingsThis article finds that underpricing, on average, is negatively related to income guarantee, which is a proxy for ex ante cash flow uncertainty. The relationship is economically and statistically significant and robust to simultaneous equations estimation. Further investigation shows that REITs with income guarantee tend to have lower systematic risk (measured by CAPM beta) and returns, making the nature of some REITs more debt-like than equity-like.Practical implicationsFor issuers, the result suggests that offering income guarantee (which is more costly for assets with lower quality) can be a useful signal of asset quality to investors and reduce IPO discount. For institutional and retail investors, the results are informative about the risk-return tradeoffs in REIT IPO investment opportunities. Income guarantees makes REIT exposure more fix income-like, so there is a need to consider the credibility of the guarantor as well.Originality/valueThis article is the first to use income guarantee as an ex ante measure of cash flow uncertainty and explicitly investigates its linkage to IPO underpricing. This aspect of uncertainty and IPO underpricing remains little-studied in the academic literature. It also contributes to the growing literature of REIT IPOs in Asia.
{"title":"Cash flow uncertainty and IPO underpricing: evidence from income guarantee in Thai REITs","authors":"Kanis Saengchote, Chittisa Charoenpanich","doi":"10.1108/jpif-07-2020-0085","DOIUrl":"https://doi.org/10.1108/jpif-07-2020-0085","url":null,"abstract":"PurposeThe purpose of this article is to investigate the relationship between cash flow uncertainty and the underpricing of real estate investment trust (REIT) initial public offerings (IPOs) using hand-collected data on income guarantee in Thailand from January 2005 to December 2019.Design/methodology/approachThis article uses linear regression to determine the relationship between underpricing (initial return) and proxy for cash flow uncertainty (income guarantee), controlling for other factors. Because issuers can use several actions to signal their quality under asymmetric information, the joint decisions are analyzed as simultaneous equations and estimated using three-stage least square (3SLS) to address potential endogeneity concern.FindingsThis article finds that underpricing, on average, is negatively related to income guarantee, which is a proxy for ex ante cash flow uncertainty. The relationship is economically and statistically significant and robust to simultaneous equations estimation. Further investigation shows that REITs with income guarantee tend to have lower systematic risk (measured by CAPM beta) and returns, making the nature of some REITs more debt-like than equity-like.Practical implicationsFor issuers, the result suggests that offering income guarantee (which is more costly for assets with lower quality) can be a useful signal of asset quality to investors and reduce IPO discount. For institutional and retail investors, the results are informative about the risk-return tradeoffs in REIT IPO investment opportunities. Income guarantees makes REIT exposure more fix income-like, so there is a need to consider the credibility of the guarantor as well.Originality/valueThis article is the first to use income guarantee as an ex ante measure of cash flow uncertainty and explicitly investigates its linkage to IPO underpricing. This aspect of uncertainty and IPO underpricing remains little-studied in the academic literature. It also contributes to the growing literature of REIT IPOs in Asia.","PeriodicalId":46429,"journal":{"name":"Journal of Property Investment & Finance","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2021-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46253867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1108/jpif-12-2020-0138
Gaetano Lisi
PurposeThe aim of this education briefing is to comment upon how basic hedonic pricing models for the valuation of property can be expanded and developed. In this case, the briefing illustrates the use of the new economic approach to the analysis of housing markets, namely the search-and-matching models.Design/methodology/approachThis education briefing discusses the connection of two important economic theories: the hedonic price theory and the search-and-matching theory.FindingsThis education briefing gives an example of a (non-linear) form of the hedonic price function.Practical implicationsIn cases of mass appraisals, hedonic pricing models can provide a broad indication of value across submarkets and this education briefing demonstrates a theoretical model that can be used to provide a theoretical groundwork for the use of a concave hedonic price function in empirical estimates.Originality/valueThis education briefing shows how basic hedonic pricing models can be enhanced by a search-and-matching approach to determine property values.
{"title":"Property valuation: the hedonic pricing model: the application of search-and-matching models","authors":"Gaetano Lisi","doi":"10.1108/jpif-12-2020-0138","DOIUrl":"https://doi.org/10.1108/jpif-12-2020-0138","url":null,"abstract":"PurposeThe aim of this education briefing is to comment upon how basic hedonic pricing models for the valuation of property can be expanded and developed. In this case, the briefing illustrates the use of the new economic approach to the analysis of housing markets, namely the search-and-matching models.Design/methodology/approachThis education briefing discusses the connection of two important economic theories: the hedonic price theory and the search-and-matching theory.FindingsThis education briefing gives an example of a (non-linear) form of the hedonic price function.Practical implicationsIn cases of mass appraisals, hedonic pricing models can provide a broad indication of value across submarkets and this education briefing demonstrates a theoretical model that can be used to provide a theoretical groundwork for the use of a concave hedonic price function in empirical estimates.Originality/valueThis education briefing shows how basic hedonic pricing models can be enhanced by a search-and-matching approach to determine property values.","PeriodicalId":46429,"journal":{"name":"Journal of Property Investment & Finance","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62153925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-30DOI: 10.1108/jpif-07-2020-0080
G. Morri, Federico Palmieri, E. Sironi
PurposeThe purpose of this study is to analyze the determinants that lead REITs to pay out more dividends than the required level to retain their tax-favored status. In particular, the focus is on the effect that information asymmetry has on REITs’ excess dividends distribution.Design/methodology/approachA sample of 341 REITs from the USA, France, the UK, Spain, Belgium, Germany, the Netherlands and Italy has been analyzed for the period 2000–2016. Employing multiple linear regression models, the effects of information asymmetry, cash flow, size, ROA, leverage and treasury shares on excess dividends have been explored.FindingsResults indicate that REITs with greater information asymmetry distribute significantly more excess dividends, with superior evidence in Europe than in the USA. Regarding other determinants, cash flow influences excess dividends the most, whereas ROA and common shares repurchase have an inverse relationship with excess dividends.Practical implicationsThe paper explores the effects of excess dividends distribution on the most relevant REITs features. The joint analysis of the European and the US samples allows this study to make a comparison between the two markets and to identify affinities and differences.Originality/valueThe paper tests whether a proxy of asymmetry information plays a role in affecting the excess dividends distribution. In contrast to previous researches, it expands the analysis by comparing the US and European markets to underline any difference in the effect of asymmetry information on excess dividends. The topic has never been investigated before in relation to the European market.
{"title":"Information asymmetry and REITs’ excess dividends: US and European market comparison","authors":"G. Morri, Federico Palmieri, E. Sironi","doi":"10.1108/jpif-07-2020-0080","DOIUrl":"https://doi.org/10.1108/jpif-07-2020-0080","url":null,"abstract":"PurposeThe purpose of this study is to analyze the determinants that lead REITs to pay out more dividends than the required level to retain their tax-favored status. In particular, the focus is on the effect that information asymmetry has on REITs’ excess dividends distribution.Design/methodology/approachA sample of 341 REITs from the USA, France, the UK, Spain, Belgium, Germany, the Netherlands and Italy has been analyzed for the period 2000–2016. Employing multiple linear regression models, the effects of information asymmetry, cash flow, size, ROA, leverage and treasury shares on excess dividends have been explored.FindingsResults indicate that REITs with greater information asymmetry distribute significantly more excess dividends, with superior evidence in Europe than in the USA. Regarding other determinants, cash flow influences excess dividends the most, whereas ROA and common shares repurchase have an inverse relationship with excess dividends.Practical implicationsThe paper explores the effects of excess dividends distribution on the most relevant REITs features. The joint analysis of the European and the US samples allows this study to make a comparison between the two markets and to identify affinities and differences.Originality/valueThe paper tests whether a proxy of asymmetry information plays a role in affecting the excess dividends distribution. In contrast to previous researches, it expands the analysis by comparing the US and European markets to underline any difference in the effect of asymmetry information on excess dividends. The topic has never been investigated before in relation to the European market.","PeriodicalId":46429,"journal":{"name":"Journal of Property Investment & Finance","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45744406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-28DOI: 10.1108/jpif-12-2020-0137
Elaine Worzala, Lawrence A. Souza, O. Koroleva, China Martin, Alicia Becker, Nathaniel Derrick
PurposeThe goal of this paper is to present a roadmap for real estate operating companies (REOCs) to transform themselves into tech-centric enterprises.Design/methodology/approachThis qualitative approach is based on the impact of technology on physical real estate assets and organisational structures as reviewed in industry and academic literature, professional experience and current property technology (PropTech) applications.FindingsNew technologies are rapidly changing how investors, tenants and managers use, invest and finance property. The revolutionary change for the industry will be in its organisational and industry structure, away from the traditional hierarchical-mechanistic form to a virtual open-agile-innovative organisational form.Research limitations/implicationsResearch limitations come from the lack of real estate companies utilising the hybrid flipped form of organisational structures.Practical implicationsDue to the current state of the economy, effects of the pandemic and rapid adoption of new technologies, real estate companies are likely to radically change the way they are organised, how they add value, innovate and their leadership/management style.Social implicationsThe revolution in real estate technologisation will not come from the application of these technologies but the rapid change in ideological thought and management leadership style and culture.Originality/valueThe introduction of artificial intelligence/machine learning (AI/ML), blockchain, virtual reality, tablets, cell phones, applications, 5G, etc. is putting pressure on real estate organisations to change. These changes are long overdue and the future, modern real estate company will take a hybrid PropTech form – a company focussed on delivering high-quality products and services to its clients in real time.
{"title":"The technological impact on real estate investing: robots vs humans: new applications for organisational and portfolio strategies","authors":"Elaine Worzala, Lawrence A. Souza, O. Koroleva, China Martin, Alicia Becker, Nathaniel Derrick","doi":"10.1108/jpif-12-2020-0137","DOIUrl":"https://doi.org/10.1108/jpif-12-2020-0137","url":null,"abstract":"PurposeThe goal of this paper is to present a roadmap for real estate operating companies (REOCs) to transform themselves into tech-centric enterprises.Design/methodology/approachThis qualitative approach is based on the impact of technology on physical real estate assets and organisational structures as reviewed in industry and academic literature, professional experience and current property technology (PropTech) applications.FindingsNew technologies are rapidly changing how investors, tenants and managers use, invest and finance property. The revolutionary change for the industry will be in its organisational and industry structure, away from the traditional hierarchical-mechanistic form to a virtual open-agile-innovative organisational form.Research limitations/implicationsResearch limitations come from the lack of real estate companies utilising the hybrid flipped form of organisational structures.Practical implicationsDue to the current state of the economy, effects of the pandemic and rapid adoption of new technologies, real estate companies are likely to radically change the way they are organised, how they add value, innovate and their leadership/management style.Social implicationsThe revolution in real estate technologisation will not come from the application of these technologies but the rapid change in ideological thought and management leadership style and culture.Originality/valueThe introduction of artificial intelligence/machine learning (AI/ML), blockchain, virtual reality, tablets, cell phones, applications, 5G, etc. is putting pressure on real estate organisations to change. These changes are long overdue and the future, modern real estate company will take a hybrid PropTech form – a company focussed on delivering high-quality products and services to its clients in real time.","PeriodicalId":46429,"journal":{"name":"Journal of Property Investment & Finance","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44496569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-22DOI: 10.1108/jpif-09-2020-0101
L. Gabrielli, N. French
PurposeValuation is the process of determining Market Value. Property valuation, as with the valuation of all assets, is an estimation of price in the market. It is value in exchange. The valuer role is to determine the appropriate approach, the method and use the right model to achieve this aim as best as possible. It is a combination of analysing the market and determining the critical variables for the valuation method/model. The method is separate from the valuation process which should be followed (according to the International Valuation Standards Council Valuation Standards) regardless the valuation method chosen. There are valuation approaches, valuation methods and, as a subset of the methods, techniques or models.Design/methodology/approachThis practice briefing is an overview of the Valuation Methods and Models available to the valuer and comments on the appropriateness of valuation each in assessing Market Value for specific property types.FindingsThis briefing is a review of the valuation methods and models and models that can be applied to determine market value.Practical implicationsThe role of the valuer in practice is to identify the method of valuation and then apply the correct mathematical model for the valuation task in hand.Originality/valueThis provides guidance on how valuations can be presented to the client in accordance with the International Valuation Standards.
{"title":"Pricing to market: property valuation methods – a practical review","authors":"L. Gabrielli, N. French","doi":"10.1108/jpif-09-2020-0101","DOIUrl":"https://doi.org/10.1108/jpif-09-2020-0101","url":null,"abstract":"PurposeValuation is the process of determining Market Value. Property valuation, as with the valuation of all assets, is an estimation of price in the market. It is value in exchange. The valuer role is to determine the appropriate approach, the method and use the right model to achieve this aim as best as possible. It is a combination of analysing the market and determining the critical variables for the valuation method/model. The method is separate from the valuation process which should be followed (according to the International Valuation Standards Council Valuation Standards) regardless the valuation method chosen. There are valuation approaches, valuation methods and, as a subset of the methods, techniques or models.Design/methodology/approachThis practice briefing is an overview of the Valuation Methods and Models available to the valuer and comments on the appropriateness of valuation each in assessing Market Value for specific property types.FindingsThis briefing is a review of the valuation methods and models and models that can be applied to determine market value.Practical implicationsThe role of the valuer in practice is to identify the method of valuation and then apply the correct mathematical model for the valuation task in hand.Originality/valueThis provides guidance on how valuations can be presented to the client in accordance with the International Valuation Standards.","PeriodicalId":46429,"journal":{"name":"Journal of Property Investment & Finance","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2020-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/jpif-09-2020-0101","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48120888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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