An analysis of auction strategies in apartment sales

2018 ◽  
Vol 11 (2) ◽  
pp. 202-223 ◽  
Author(s):  
Rosane Hungria-Gunnelin
Keyword(s):  
Real Estate ◽  
List Price ◽  
Selling Price ◽  
Residential Real Estate ◽  
Data Set ◽  
Content Type ◽  
Bidding Strategies ◽  
Ascending Auctions ◽  
Jump Bidding ◽  
Positive Effect

Purpose This paper aims to empirically test the effect of list price and bidding strategies in ascending auctions of residential real estate. Design/methodology/approach Three regression models are estimated, using a unique data set from 629 condominium apartments in the inner-city of Stockholm, Sweden, sold between January 2010 and December 2011. Findings The results show that jump bidding has the predicted effect of reducing competition by scaring off bidders. However, a higher average bid increment leads to a higher selling price. Furthermore, results show that a fast auction in terms of average time between bids acts to increase the probability of so-called auction fever as both the number of bidders and the selling price are positively correlated with the speed of the auction. While the average behavior of all auction participants, in terms of jump bidding and time between bids, significantly affects auction outcomes, differences in strategies applied by winners and losers show mixed results. The results of this study with respect to sellers’ list price strategy show that underpricing is an ineffective strategy in terms of enticing more bidders to participate in the auction. Furthermore, underpricing is not sufficient to have a positive effect on the selling price. Originality/value This paper is one of the first papers to empirically analyze how different bidding strategies affect the outcome of residential real estate auctions in terms of competition and the final selling price.

scholarly journals Brokers’ list price setting in an auction context

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rosane Hungria-Gunnelin ◽  
Fredrik Kopsch ◽  
Carl Johan Enegren
Keyword(s):  
Real Estate ◽  
Market Value ◽  
Hedonic Model ◽  
List Price ◽  
Selling Price ◽  
Full Sample ◽  
Sales Price ◽  
Content Type ◽  
Real Estate Brokers ◽  
Price Strategies

Purpose The role of list price is often discussed in a narrative describing sellers’ preferences or sellers’ price expectations. This paper aims to investigate a set of list price strategies that real estate brokers have available to influence the outcome of the sale, which may be many times self-serving. Design/methodology/approach By analyzing real estate brokers’ arguments on the choice of the list price level, a couple of hypotheses are formulated with regard to different expected outcomes that depend on the list price. This study empirically tests two hypotheses for the underlying incentives in the choice of list price from the real estate broker’s perspective: lower list price compared to market value leads to the higher sales price, lower list price compared to market value leads to a quicker sale. To investigate the two hypotheses, this paper adopts different methodological frameworks: H1 is tested by running a classical hedonic model, while H2 is tested through a duration model. This study further tests the hypotheses by splitting the full sample into two different price segments: above and below the median list price. Findings The results show that H1 is rejected for the full sample and for the two sub-samples. That is, contrary to the common narrative among brokers that underpricing leads to a higher sales price, underpricing lower sales price. H2, however, receives support for the full sample and for the two sub-samples. The latter result points to that brokers may be tempted to recommend a list price significantly below the expected selling price to minimize their effort while showing a high turnover of apartments. Originality/value Although there are a large number of previous studies analyzing list price strategies in the housing market, this paper is one of the few empirical studies that address the effect of list price choice level on auction outcomes of non-distressed housing sales.

The user cost of housing in the Baltic states

2017 ◽  
Vol 10 (1) ◽  
pp. 17-34
Author(s):  
Darius Kulikauskas
Keyword(s):  
Real Estate ◽  
Interest Rates ◽  
Housing Prices ◽  
Residential Real Estate ◽  
Baltic States ◽  
Data Set ◽  
Content Type ◽  
Real Estate Markets ◽  
User Costs ◽  
The Baltic

Purpose This paper aims to use the user costs approach to identify the periods of over- and under-valuation in the Baltic residential real estate markets. Design/methodology/approach Three alternative estimates of the user costs of homeownership in the Baltics are computed: one that does not discriminate between the leveraged and unleveraged parts of a house and the other that takes loan-to-value ratios into account. Findings The approach successfully identifies the overheating that took place in the Baltic real estate markets prior to the crisis of 2009 and shows that there is significant upward pressure for the housing prices in the Baltics in the low interest rate environment that became prevalent ever since. Research limitations/implications The paper uses only the current values of the fundamentals to compute the user costs. The framework could be augmented to account for the expected future developments of the fundamentals. Practical implications The macroprudential policy makers should monitor the developments in the Baltic residential real estate markets closely and be ready to act because an increase in the price-to-rent ratios might seem sustainable, given the current low interest rates, but could potentially bring harmful volatility when the monetary policy normalises. Originality/value This paper builds a novel data set on the real estate markets of the Baltic countries and is the first to derive the user costs of homeownership in the region. It is also among the first to identify periods of housing price misalignments from their fundamental values in the Baltic States.

Achieving property valuation accuracy in developing countries: the implication of data source

2018 ◽  
Vol 11 (3) ◽  
pp. 573-585 ◽  
Author(s):  
Rotimi Boluwatife Abidoye ◽  
Albert P.C. Chan
Keyword(s):  
Real Estate ◽  
Data Bank ◽  
Developing Nations ◽  
Selling Price ◽  
Property Market ◽  
Data Set ◽  
Content Type ◽  
Transaction Data ◽  
Property Valuation ◽  
Property Markets

PurposeThe demand for accurate property value estimation by valuation report end users has led to a shift towards advanced property valuation modelling techniques in some property markets and these require a sizeable number of data set to function. In a situation where there is a lack of a centralised transaction data bank, scholars and practitioners usually collect data from different sources for analysis, which could affect the accuracy of property valuation estimates. This study aims to establish the suitability of different data sources that are reliable for estimating accurate property values.Design/methodology/approachThis study adopts the Lagos metropolis property market, Nigeria, as the study area. Transaction data of residential properties are collected from two sources, i.e. from real estate firms (selling price) and listing prices from an online real estate company. A portion of the collected data is fitted into the artificial neural network (ANN) model, which is used to predict the remaining property prices. The holdout sample data are predicted with the developed ANN models. Thereafter, the predicted prices and the actual prices are compared so as to establish which data set generates the most accurate property valuation estimates.FindingsIt is found that the listing data (listing prices) produced an encouraging mean absolute error (MAE), root mean square error (RMSE) and mean absolute percentage error (MAPE) values compared with the firms’ data (selling prices). An MAPE value of 26.93 and 29.96 per cent was generated from the listing and firms’ data, respectively. A larger proportion of the predicted listing prices had property valuation error of margin that is within the industry acceptable standard of between ±0 and 10 per cent, compared with the predicted selling prices. Also, a higher valuation accuracy was recorded in properties with lower values, compared with expensive properties.Practical implicationsThe opaqueness in real estate transactions consummated in developing nations could be attributed to why selling prices (data) could not produce more accurate valuation estimates in this study than listing prices. Despite the encouraging results produced using listing prices, there is still an urgent need to maintain a robust and quality property data bank in developing nations, as obtainable in most developed nations, so as to achieve a sustainable global property valuation practice.Originality/valueThis study does not investigate the relationship between listing prices and selling prices, which has been conducted in previous studies, but examines their suitability to improve property valuation accuracy in an emerging property market. The findings of this study would be useful in property markets where property transaction data bank is not available.

Non-mortgage loans in the Chinese residential real estate market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kerry Liu
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Cointegration Analysis ◽  
Residential Real Estate ◽  
Mortgage Loans ◽  
Data Set ◽  
Monthly Data ◽  
Content Type ◽  
Real Estate Prices

Purpose From January 2021, the potential flow of Chinese household non-mortgage loans, including business loans and short-term consumption loans to the residential real estate market, has attracted the attention of the regulatory authorities. This study aims to examine the effects of household non-mortgage loans on the Chinese residential real estate market. Design/methodology/approach Based on a monthly data set between July 2011 and December 2019, this study adopts a cointegration analysis. Findings This study finds that household non-mortgage loans do play a significant role in driving residential real estate prices in China. Originality/value While many studies have examined the Chinese real estate market and its linkage with the financial system and the economy, this study is the first of its kind in the academic literature that exclusively focusses on the role of non-mortgage loans in real estate prices, and makes an original contribution.

Market responsiveness: antecedents and the moderating role of external supply chain integration

2017 ◽  
Vol 32 (1) ◽  
pp. 30-45 ◽  
Author(s):  
Tuan Luu
Keyword(s):  
Supply Chain ◽  
Supply Chain Integration ◽  
Manufacturing Companies ◽  
Data Set ◽  
Content Type ◽  
Business Context ◽  
Market Responsiveness ◽  
Positive Effect ◽  
Ambidextrous Leadership

Purpose The interaction between opening and closing behaviors of ambidextrous leadership produces “change” force throughout the organization in proactive response to market forces. This research aims to assess the role of ambidextrous leadership in fostering entrepreneurial orientation (EO) and market responsiveness. The research also seeks an insight into how external supply chain integration moderates the positive effect of EO on market responsiveness. Design/methodology/approach Research data were collected from 327 meso-level managers and 517 subordinates from chemical manufacturing companies in the Vietnam business context. Findings Research findings shed light on the positive effect of ambidextrous leadership on EO, which in turn contributes to market responsiveness. The moderation role that external supply chain integration plays on the EO–market responsiveness linkage was also grounded on the data set. Originality/value Through the identification of the predictive roles of ambidextrous leadership and EO for market responsiveness, the current research indicates the convergence between leadership, EO and market responsiveness research streams.

scholarly journals Revenue diversification and financial sustainability of microfinance institutions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Peter Nderitu Githaiga
Keyword(s):  
Generalized Method Of Moments ◽  
Financial Sustainability ◽  
Microfinance Institutions ◽  
Revenue Diversification ◽  
Estimation Model ◽  
Data Set ◽  
Content Type ◽  
Method Of Moments Estimation ◽  
The Impact ◽  
Positive Effect

PurposeThis paper aims to investigate whether revenue diversification affects the financial sustainability of microfinance institutions (MFIs).Design/methodology/approachThe study uses a worldwide panel data set of 443 MFIs in 108 countries for the period 2013–2018 and two-step system Generalized Method of Moments estimation model.FindingsThe study finds that revenue diversification has a significant and positive effect on the financial sustainability of MFIs.Practical implicationsThe findings of this study actually offer important managerial and policy lessons on MFIs’ financial sustainability. Microfinance managers and policymakers should consider revenue diversification as a strategy through which MFIs can attain financial sustainability instead of overreliance on donations and government subsidiesOriginality/valueUnlike previous studies that examined revenue diversification in the context of banking firms, this study contributes to literature by examining the impact of revenue diversification of the financial sustainability of MFIs.

Real estate development in the city of Athens during the financial crisis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maria Nikitidou ◽  
Fragiskos Archontakis ◽  
Athanasios Tagkalakis
Keyword(s):  
Financial Crisis ◽  
Real Estate ◽  
Structural Characteristics ◽  
House Prices ◽  
Real Estate Market ◽  
Structural Factors ◽  
Data Set ◽  
Content Type ◽  
Capital Financing ◽  
The City

Purpose This study aims to determine how the prices of residential properties in the Greek real estate sector are affected by their structural characteristics and by the prevailing economic factors during recession. Design/methodology/approach Based on 13,835 valuation reports for the city of Athens, covering a period of 11 years (2006–2016), this study develops a series of econometric models, taking into account both structural characteristics of the property market and the macroeconomic relevant variables. Finally, the city of Athens is divided into sub-regions and the different effects of the structural factors in each area are investigated via spatial analysis confirming the validity of the baseline model. Findings Findings show that the size, age, level, parking and storage space can explain the property price movements. Moreover, the authors find evidence that it is primarily house demand variables (e.g. the annual average wage, the unemployment rate, the user cost of capital, financing constraints and expectations about the future course of the house market) that affect house prices in a statistically significant manner and with the correct sign. Finally, using a difference-in-differences approach, this study finds that an increase in house demand (on account of net migration) led to higher house prices in smaller and older than in larger and younger apartments in areas with high concentration of immigrants. Originality/value This study uses a novel data set to help entities, individuals and policy-makers to understand how the recent economic and financial crisis has affected the real estate market in Athens.

House price index (HPI) and Covid-19 pandemic shocks: evidence from Turkey and Kazakhstan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yeşim Aliefendioğlu ◽  
Harun Tanrivermis ◽  
Monsurat Ayojimi Salami
Keyword(s):  
Real Estate ◽  
Price Index ◽  
Housing Prices ◽  
House Price ◽  
Monthly Basis ◽  
Data Set ◽  
House Price Index ◽  
Content Type ◽  
Asymmetric Pricing ◽  
Long Run

Purpose This paper aims to investigate asymmetric pricing behaviour and impact of coronavirus (Covid-19) pandemic shocks on house price index (HPI) of Turkey and Kazakhstan. Design/methodology/approach Monthly HPIs and consumer price index (CPI) data ranges from 2010M1 to 2020M5 are used. This study uses a nonlinear autoregressive distributed lag model for empirical analysis. Findings The findings of this study reveal that the Covid-19 pandemic exerted both long-run and short-run asymmetric relationship on HPI of Turkey while in Kazakhstan, the long-run impact of Covid-19 pandemic shock is symmetrical long-run positive effect is similar in both HPI markets. Research limitations/implications The main limitations of this study are the study scope and data set due to data constraint. Several other macroeconomic variables may affect housing prices; however, variables used in this study satisfy the focus of this study in the presence of data constraint. HPI and CPI variables were made available on monthly basis for a considerably longer period which guaranteed the ranges of data set used in this study. Practical implications Despite the limitation, this study provides necessary information for authorities and prospective investors in HPI to make a sound investment decision. Originality/value This is the first study that rigorously and simultaneously examines the pricing behaviour of Turkey and Kazakhstan HPIs in relation to the Covid-19 pandemic shocks at the regional level. HPI of Kazakhstan is recognized in the global real estate transparency index but the study is rare. The study contributes to regional studies on housing price by bridging this gap in the real estate literature.

Real effects of real estate: evidence from unemployment rates

2020 ◽  
Vol 37 (4) ◽  
pp. 605-623
Author(s):  
Can Dogan ◽  
John Can Topuz
Keyword(s):  
Real Estate ◽  
Housing Prices ◽  
Real Economy ◽  
Residential Real Estate ◽  
Content Type ◽  
Unemployment Rates ◽  
The Real ◽  
Real Estate Price ◽  
Real Effects ◽  
Real Estate Prices

Purpose This paper aims to investigate the relationship between residential real estate prices and unemployment rates at the Metropolitan Statistical Area (MSA) level. Design/methodology/approach This paper uses a long time-series of MSA-level quarterly data from 1990 to 2018. It uses an instrumental variable approach to estimate the effects of residential real estate prices on unemployment rates using the geography-based land constraints measure of Saiz (2010) as the instrument. Findings The results show that changes in residential real estate prices do not have a causal effect on unemployment rates in the same quarter. However, it takes 9-12 months for an increase (decrease) in real estate prices to decrease (increase) unemployment rates. This effect is significant during both pre- and post-financial crisis periods and robust to control for the economic characteristics of MSAs. Research limitations/implications This paper contributes to the emerging literature that studies the real effects of real estate. Particularly, the methodology and the findings can be used to investigate causal relationships between housing prices and small business development or economic growth. The findings are also of interest to policymakers and practitioners as they illustrate how and when real estate price shocks propagate to the real economy through unemployment rates. Practical implications This study’s findings have important implications for academics, policymakers and investors as they provide evidence of a snowball effect associated with shocks to real estate prices: increasing (decreasing) unemployment rates following a decrease (increase) in real estate prices exacerbates the real estate price movements and their economic consequences. Originality/value This paper analyzes a significantly longer period, from 1990 to 2018, than the existing literature. Additionally, it uses the MSA-level land unavailability measure of Saiz (2010) as an instrument to explore the effects of residential real estate prices on unemployment rates and when those effects are observed in the real economy.

scholarly journals Tax increment financing and major league venues

2020 ◽  
Vol 10 (4) ◽  
pp. 495-517
Author(s):  
Robert Sroka
Keyword(s):  
Real Estate ◽  
Future Research ◽  
Real Estate Development ◽  
Tax Increment Financing ◽  
General Reference ◽  
Data Set ◽  
Content Type ◽  
Capital Costs ◽  
Major League ◽  
Sports Venues

PurposeThis article intends to shine a light on venue-related tax increment financing (TIF) through the first comprehensive inventory of its use at the major league level.Design/methodology/approachFor each 2018 venue in the five North American major leagues, data was collected on TIF contributions to direct venue capital costs as well as to projects using TIF to enable real estate development ancillary to a venue. Neighborhoods surrounding a venue were also assessed for the presence of a TIF district. With both the direct and ancillary elements, data was collected from government, industry, academic, mapping and media sources. A review of this data set and findings are followed by a discussion of implications and directions for future work.FindingsOver one-third of the TIF eligible permanent stadiums and arenas studied in the five major leagues have a direct or strong TIF connection. Direct TIF contributions to sports venues, as well as TIF use intended to generate real estate development around these venues, are most frequent and financially significant in arenas and soccer-specific stadiums. Additionally, arena and stadium projects using TIF often accompany ancillary real estate development.Originality/valueA primary purpose of this article is to provide a previously missing general reference resource to governments and citizens of jurisdictions considering facility TIF use on the scope, nature, extent and identity of TIF projects related to major league sports venues. More generally, the inventory and assessment of TIF use in professional sports venues offered by this article sets the stage for future research on associative relationships between TIF contributions and facility finance outcomes as well as the normative value of venue-related TIF.

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