Does VAIC affect the profitability and value of real estate and infrastructure firms in India? A panel data investigation

2020 ◽  
Vol 21 (3) ◽  
pp. 309-331 ◽  
Author(s):  
Harish Kumar Singla

PurposeThis study aims to investigate whether intellectual capital (IC) and its subcomponents enhance value and improve the profitability of real estate (RE) and infrastructure (INF) firms in India. In this study, IC is measured through the value-added intellectual coefficient (VAIC) model. The study further extends the VAIC model by incorporating an additional component of social welfare efficiency (SWE).Design/methodology/approachThe study uses the panel data investigation based on the data of 63 firms (22 RE and 41 INF firms), for a period of 10 years (2008–2017). The dependent variables in the study are return on assets (ROA) and market price to book value ratio (PB), whereas the independent variables are VAIC and its components. The panel is tested for stationarity, heteroscedasticity and multicollinearity problems. Finally, to account for heteroscedasticity and endogeneity, Arellano and Bond's (1991) panel regression estimator with robust estimates are used.FindingsThe findings of the study suggest that IC has a significant influence on the profitability and value of infra firms, whereas capital-employed efficiency (CEE) positively affects the profitability of both RE and INF firms.Originality/valueThe study is an attempt to find the effect of IC and its components on profitability and value of RE and INF firms in India. The author has also extended the VAIC model, which was introduced by Pulic (2000), by adding an additional IC component, i.e. SWE. The study uses Arellano and Bond's (1991) panel regression estimator with robust estimates, which helps produce robust results.

2019 ◽  
Vol 37 (2) ◽  
pp. 262-274 ◽  
Author(s):  
Dustin C. Read ◽  
Andrew Carswell

PurposeThe purpose of this paper is to examine the perspectives of real estate executives to assess the extent to which property management is viewed as a commodity or as a value-added professional service contributing positively to investment performance and property value maximization.Design/methodology/approachThe qualitative analysis draws on the result of 93 semi-structured interviews conducted with executives employed by some of the largest real estate investment management and service firms across the USA.FindingsThe findings suggest that significant perceptual cleavages exist in the real estate industry, with some executives believing property managers are incredibly important to the value creation process and others believing they play a much more modest role.Practical implicationsThe results highlight the need for the property management industry as whole to continue its efforts to gain recognition as a value-added professional service and for individual property management companies to actively take steps to differentiate themselves from competitors if they hope to avoid commodification and fee compression.Originality/valueThe study is the first to the authors’ knowledge to examine real estate executives’ perspectives about the roles property managers play in the value creation process, as well as their views about whether property managers have the skills and autonomy required to make value accretive decisions.


2019 ◽  
Vol 10 (4) ◽  
pp. 546-564 ◽  
Author(s):  
Nizar Mohammad Alsharari ◽  
Turki Raji Alhmoud

Purpose The purpose of this paper is to examine the determinants of profitability of 28 Sharia-compliant corporations in Jordan over the three-year period of 2013-2015. Design/methodology/approach The two-stage least square (2SLS) regression analysis with fixed effects was conducted using two measures of profitability, namely: return on assets and return on equity. The empirical data were collected from 28 Sharia-compliant corporations in Jordan over the study period. A variety of internal and external factors was used to determine profitability. Findings In general, this analysis of the determinants of profitability for Sharia-compliant corporations confirmed previous findings. Regression findings revealed that previous year profitability, debt ratio, organizational structure, the size of the audit firm and voluntary disclosure to be important determinants of profitability of Sharia-compliant corporations in Jordan from 2013 to 2015. The independent variables of firm size, ownership ratio greater than 5%, liquidity ratio, percentage of non-Jordanian ownership or the age of the firm were not found to significantly influence the profitability of the corporations studied. Research limitations/implications The authors determined that the independent variables selected, with few exceptions, behaved according to expectations. Moreover, the current literature on the influence of management on performance, and thus, profitability, does not consider the philosophy under which business is conducted (a limitation with respect to the type of business conducted). For example, Sharia-compliant and non-Sharia-compliant firms operate under different sets of principles and rules. This variance in business philosophies may have an important bearing on management style, an aspect that has been neglected in the organizational management literature. The panel data from a three-year period was insufficient to validate the consistency of the results; future researchers may increase the length of the study periods to confirm results and increase the robustness of the data collection method. Practical implications The findings from the study have implications that may be functional for businesses, investors and policymakers in their focus on the Sharia-compliant business sector in Jordan. The factors influencing profitability may inform the setting of regulatory policy designed to stabilize and sustain the performance of Sharia-compliant corporations more broadly. Originality/value This study contributes to the growing body of literature on Islamic finance, and can be considered one of a very few that have examined the internal and external determinants of the profitability of Sharia-compliant corporations in a developing country such as Jordan, using panel data.


2016 ◽  
Vol 9 (2) ◽  
pp. 239-255 ◽  
Author(s):  
Marsela Thanasi (Boçe)

Purpose The approved methodology of property valuation in Albania evaluates the reference property prices based on the average contractual price of properties sold and takes into account only factors such as price, square meters of living and location of property. Simple method is the one used on evaluating the reference price for a group of properties with similar characteristics. The purpose of this study is, by building a hedonistic pricing model for apartments in Tirana, to prove empirically that in addition to location, there are other characteristics that affect the value of apartments. Design/methodology/approach The capital city is chosen as a case study for the construction of a hedonistic pricing model. In the database were included detailed characteristics of 1,421 apartments. Multiple regression analysis was chosen in this model as a method to test hypotheses about the causal relationship between house value Y and independent variables XS, representing the characteristics of the property. Population equation parameters β0, β1, β2 […], βn. were evaluated by the ordinary least squares method. Selection of α-standard is 5 per cent, taking into account the significant number of observations and the degree of regression freedom. Findings Based on this study, it was proved empirically that the characteristics of the apartments as square meters of living, number of rooms, access to parking, furniture, view and surface of living affect their price. As a literature review showed, location is the most important variable that affects the value. Results showed that the marginal effect that the number of rooms has on the apartment value depends on the square meters of living of the apartment. In the same line, the effect of the square meters of living on value depends on the square meters, as the relationship between these variables is nonlinear and depends more on the number of rooms. Research limitations/implications It was impossible to find the information on property sales contracts. That is why this study was oriented toward the market and took into account the properties offered for sale at one of the biggest real estate agency “Çelësi”. More accurate information regarding properties characteristics could be obtained. The information was limited and depended on the best apartment characteristics that potential sellers wanted to advertise. On the other side, contractual sales price is oriented by the reference price, so, the applied methodology has resulted in better evaluations of real estate prices, which reflect the market price. Practical implications This study is conducted as an applicable research. After analyzing the property valuation system in Albania, the study recommends the change of the method used on apartment valuation. Improvement of the property valuation system requires first of all creation of a complete and updated database for all real estate sales. Social implications Property valuation is a very important function of the land administration system which directly affects people’s life. Property evaluation for different purposes like tax evaluation, compensation and expropriation is a process that must be designed using an equal, transparent and well-accepted methodology by all. Promotion of property valuation system development is helpful to various interest groups in society, as it can reduce the risk of investment in this sector and encourages lower rates of interest on loans. Originality/value To the author's knowledge, the hedonic model is not applied on the Albanian housing market, thus providing encouragement to deepen the study in this regard. The study is original and has a very important impact on policymakers to change the actual property valuation methodology to obtain more accurate property values.


2018 ◽  
Vol 2 (1) ◽  
pp. 12-24
Author(s):  
Julyana Widjayanti ◽  
Risal Rinofah ◽  
Mujino Mujino

This study aims to determinethe effect of Debt to Equity Ratio, Return On Assets, Price Earning Ratio, and Economic Value Added on Stock Returns on Property and Real Estate companies listed on the Indonesia Stock Exchange (BEI) for the 2014-2018 period. The sampling technique is purposive sampling. Samples were obtained from 11 Property and Real Estate companies listed on the Indonesia Stock Exchange (IDX) for the 2014-2018 period. Based on the results of data analysis shows that Debt to Equity Ratio and Return On Assets have a positive and significant effect on Stock Return, Price Earning Ratio and Economic Value Added have a negative and no significant effect on Stock Return. Together Debt to Equity Ratio, Return On Assets, Price Earning Ratio, and Economic Value Added have a positive and significant effect on Stock Return.    


2020 ◽  
Vol 38 (6) ◽  
pp. 617-625
Author(s):  
Arvydas Jadevicius

PurposeThe study examines Asia Pacific (APAC) non-listed non-core real estate funds' capital calls (investor equity drawdowns) sequence for varying vehicle strategies.Design/methodology/approachAnalysis starts with a cursory data interpretation that extracts a typical investors' equity drawdowns schedule. Thousands of simulations are then computed for each vehicle strategy for each year to further interpretation.FindingsData and methodological limitations notwithstanding, overall estimates suggest that funds exhibit a contrasting capital calls sequence. As a group, APAC non-core non-listed real estate funds call circa 76.3% of investors' committed capital during the first four years of the fund life. Single sector, single country and value added vehicles have a greater capital calls velocity compared to their multi sector, multi country and opportunity peers. However, the two fund groups exhibit a notable standard deviation heterogeneity of drawdowns.Practical implicationsInvestors should therefore budget accordingly when choosing either of vehicle strategies to invest in.Originality/valueThe study adds additional evidence on the topic of capital calls velocity. Results should assist LPs with their non-listed APAC real estate funds investment programme further.


2019 ◽  
Vol 12 (3) ◽  
pp. 474-486
Author(s):  
Saverio Miccoli ◽  
Fabrizio Finucci ◽  
Rocco Murro

Purpose The study aims to propose an appraisal procedure based on the preferences stated by a sample of potential consumers and producers which makes it possible to obtain the hypothetical demand and supply curves and to estimate the most likely market value and transaction quantities for housing markets with unrevealed prices. Design/methodology/approach The procedure is divided into two steps: the first is aimed at selecting the alternatives that are most likely to meet the market’s preference by applying discrete choice (DC) analysis; the second makes it possible to estimate the potential demand and supply curves for the preferable alternatives singled out through DC analysis by using contingent valuation methods. Findings The results obtained considering only the hypothetical demand or the hypothetical supply differ by an average of 10 per cent from the actual sale price. Conversely, the values detected as the intersection of the hypothetical demand curve and the hypothetical supply curve, fall into variation margins that can be considered fully acceptable in real estate appraisal Originality/value As opposed to the applications performed in international real estate operations where reference is made solely to the potential demand estimate, the described procedure estimates the transaction value as the intersection between the hypothetical demand and supply curves, for the purposes of keeping account of the conditions that generally occur in the real market. Furthermore, it is possible to detect the incidence of the characteristics in market price formation, and to identify the market share of possible alternative assets and estimate the optimal quantity to be produced.


2016 ◽  
Vol 9 (1) ◽  
pp. 66-87 ◽  
Author(s):  
Yumi Saita ◽  
Chihiro Shimizu ◽  
Tsutomu Watanabe

Purpose – Aging in Japan is advancing faster than in other major developed nations, and this is expected to have substantial effects on the country’s economic systems, including its social security system. What kind of effect will the falling birth rate, aging society and declining population have on the real estate market? Will the often mentioned real estate price asset meltdown really occur? The purpose of this paper is to address these questions by investigating how much demographic factors affected real estate prices in Japan and the USA. Design/methodology/approach – The authors use regional panel data for Japan and the USA real estate prices and estimate the effects of demographic factors, such as dependency ratio, i.e. the ratio of population aged 65+ to population aged 20-64. For Japan, as no region-by-region quality-adjusted housing price indexes covering the entire country exist, data are constructed by conducting quality adjustment using hedonic regression. Findings – Both in Japan and the USA, real estate prices in a region are inversely correlated with the old age dependency ratio in that region, and positively correlated with the total number of population in that region. The demographic factor had a greater impact on real estate prices in Japan than in the USA. For Japan, it was also found that demographic impact on land prices will be −2.4 per cent per year in 2012-2040, while it was −3.7 per cent per year in 1976-2010, suggesting that aging will continue to have downward pressure on land prices over the next 30 years, although the demographic impact will be slightly smaller than it was in 1976-2010, as the old age dependency ratio will not increase as much as it did before. Originality/value – Japan’s regional panel data are newly constructed based on a hedonic approach. Analyzing the effect of dependency ratio for Japan and the USA panel data is a new challenge. Forecasting future impact of demographic factor on Japan’s land prices based on the population forecast is a new challenge.


2014 ◽  
Vol 40 (1) ◽  
pp. 72-96
Author(s):  
Chia-Wu Lu ◽  
Tsung-Kang Chen ◽  
Hsien-Hsing Liao

Purpose – Real estate investment trust (REIT) stocks are well known for limited management discretion in investment, financing, and payout policies, implying little information asymmetry between informed and uninformed investors. Besides, due to the renowned illiquidity and complexity of physical real estate markets, investors may be heterogeneously informed. The authors aim to investigate these arguments using REIT panel data from 1993 to 2010. Design/methodology/approach – The authors simultaneously investigate the effects of heterogeneous information (PSOS) and information asymmetry (ADJPIN) on REIT excess returns by estimating panel data regressions controlling for both firm- and time-fixed effects. Findings – The results confirm that heterogeneous information (PSOS) is significantly and positively associated with REIT excess returns while information asymmetry (ADJPIN) is insignificant when controlling for other variables well known for affecting REIT excess returns. Originality/value – The effects of information asymmetry (ADJPIN) and heterogeneous information (PSOS) on REITs excess returns are rarely simultaneously discussed in the related literature, especially from the perspectives of limited managerial discretions, regulated dividend policy, and underlying asset liquidity (physical real estate markets). The results confirm the heterogeneous information arguments. Besides, the heterogeneous information (PSOS) effects become stronger when leverage and dividend yield are higher. Finally, the above effects of PSOS and ADJPIN on REIT excess returns are also robust during the real estate market growth period (2001-2008).


2019 ◽  
Vol 2 (1) ◽  
pp. 50-60
Author(s):  
Niko Fediyanto ◽  
Sriyono Sriyono ◽  
Alshaf Febriangga ◽  
Novita Velasari

Investors always have high hopes for stock returns, but that is sometimes beyond expectations so investors must be careful in buying shares. The purpose of this study is to provide information to investors about what factors influence stock returns, with this notification, investor expectations of stock returns are met. The population used in the study is a manufacturing company listed on the IDX. The population technique used was purposive sampling. The analysis begins with the classic assumption test and the estimated panel data model, and continues with the t-test and F-test as well as the determination test. The results obtained are to meet the expectations of investors on stock returns is to increase the market value added ratio and return on assets ratio


2018 ◽  
Vol 78 (4) ◽  
pp. 412-424 ◽  
Author(s):  
Daniel L. Prager ◽  
Christopher B. Burns ◽  
Noah J. Miller

Purpose The purpose of this paper is to examine the effect of falling commodity prices on farm debt usage of corn and soybean farms, and how this debt usage differs based on the financial leverage of the farm. Design/methodology/approach Using panel data on farms surveyed at least twice in the Agricultural Resource Management Survey (ARMS) from 1996 to 2015, this paper uses a difference-in-differences approach to measure the effect of low commodity price shocks on financially vulnerable farms. To account for the correlation in the error structure between the three dependent variables (real estate debt, non-real estate debt, and interest payments) we use a seemingly unrelated regression approach. Findings Following a commodity price shock, financially vulnerable farms (debt-to-asset ratio greater than 40 percent) were found to increase their non-real estate debt when compared with non-financially vulnerable farms. Off-farm business income was found to help farms reduce real estate debt and interest payments in the face of these shocks. Research limitations/implications Data consist of corn and soybean farms surveyed more than once in the ARMS from 1996 to 2015 and are not representative of all US farms, but have similar characteristics to US commercial farms. Social implications The results indicate that financially vulnerable commercial crop farms respond to lower prices by taking on non-real estate debt, increasing financial stress. Well-targeted federal programs could prevent further financial stress for this group. Originality/value This is the first paper to use unbalanced panel data from ARMS to examine how farm debt use responds to commodity prices. This paper can inform policymakers about the financial risks to farms resulting from the current low-price environment.


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