ANALISIS PREDIKSI FINANCIAL DISTRESS DENGAN MENGGUNAKAN MODEL SRINGATE PADA PERUSAHAAN PROPERTI DAN REAL ESTATE YANG TERDAFTAR DI BEI PERIODE 2019-2020

This study aims to financial distress predict and the level of accuracy using the Springate model in the property and real estate sector listed on the Indonesia Stock Exchange for the 2019-2020 period. The population of this study is all property and real estate companies listed on the Indonesia Stock Exchange for the 2019-2020 period, so the population of this study managed to find 66 companies. Samples were selected based on predetermined purposive sampling criteria. The sample selected according to the specified criteria is 37 companies. The data analysis technique used the Springate S-Score discriminant analysis technique. The results of the bankruptcy analysis using the Springate method, namely in 2019 before the onset of covid-19 there were 27 property and real estate companies in financial distress and 10 companies in healthy condition (non-financial distress). In 2020, during the COVID-19 pandemic, there were additional companies that were in financial distress, namely 34 companies and only 3 companies that remained in a healthy condition (non-financial distress). Based on the results of the analysis of the Springate method in predicting bankruptcy in property and real estate sector companies, it has an accuracy rate of 62.2%.

Pengaruh Sales Growth, Debt To Equity Ratio, Total Assets Turnover Terhadap Return On Assets Pada Perusahaan Property Dan Real Estate Yang Terdaftar Di Bursa Efek Indonesia 2018-2020

The purpose of this study was to determine the effect of Sales Growth, Debt to Equity Ratio, Total Assets Turnover to Return on Assets property and real estate sector companies that listed in Indonesia Stock Exchange. The population in this study are supporting property and real estate sub-sector companies listed on Indonesia Stock Exchange from 2018-2020. By using a sampling technique (purposive sampling) gained 49 (forty-nine) companies that will serve as the object of research. The testing method used to see the effect of indenpent variables on the dependent variabel is the data panel regression analyze method. Based on this research stimultaneously the effectiveness of Sales Growth not significantly to Return on Asset but Debt to Equity Ratio, Total Assets Turnover on Return on Assets significantly influence Return on Assets. Partial test shows that the effectiveness of Sales Growth has a positive effect but not significant Return on Assets. Debt to Equity Ratio has a negative and significant on Return on Assets. Total Assets Turnover has a positive and significant.

To Rebuild or to Refurbish? An Analysis of the Financial Convenience of Interventions on Urban Consolidated Contexts

In the current historical moment of post-crisis recovery, the real estate sector has a dual role: i) through the construction industry and its impacts on related economic sectors, it is called upon to be an active part of the economic recovery; ii) the enhancement of existing property assets is of primary importance in the containment of greenhouse gases and the achievement of the objectives set by the United Nations [1]. In this context, the various players involved in the real estate market have outlined the importance of being supported by assessment methodologies. That allows to point out not only the opportunities of the investment, but also the risks that may invalidate the initial forecasts, nullifying the success of the initiative. To this end, this research develops a multi-criteria Key Performance Indicator aimed at analyzing the feasibility of real estate initiatives that allows to provide a synthetic scoring on the financial sustainability of each investment and to compare different types of initiatives (e.g. new construction, demolition and reconstruction, renovation, etc.).

An analysis of the performance of the companies in Constanta County which operate in the real estate transactions field in the context of sustainable development

As time went on, Constanta County has become one of the emerging poles of residential development in Romania, primarily due to its excellent positioning as an economic hub driven by international trade, doubled by a tourism potential with a high degree of long-term growth. In this context, performance measurement remains a constant concern of the entire economic sector that can ensure the progress of an entity. The purpose of this paper is to carry out a dynamic analysis over an 11-year period of the profit margin at the level of the economic agents in Constanta County whose main object of activity is, according to the NACE classification, Real Estate activities/transactions. In the analyzed period, the year 2015 stands out, in which the resumption of lending for large projects and the return of investor confidence in the real estate sector created a contagious euphoria on the market which, coupled with the income accumulated in the crisis by investors looking for profitable capital investments, led to the emergence of a wave of acquisitions, thus stimulating the real estate transactions market. Moreover, although the Coronavirus pandemic has affected the entire planet, more precisely all the economic sectors and the real estate market has not been an exception, the evolution of real estate transactions in the year 2020 was beyond the expectations of specialists in Romania, Romanians showing an appetite for this kind of transactions also in the year of the pandemic.

COVID-19 pandemic and the Philippine real estate property cycle: indications of bubble and burst in the “new normal”?

The Philippines has been one of the countries greatly affected by the COVID-19 pandemic. The country is regarded to be under the world's longest lockdown with an upsurge of cases, and it has also entered into an official recession with record-breaking economic contraction and high unemployment rates, fueling economic uncertainties. These macroeconomic indicators show serious signs of the adversities of the pandemic affecting the real estate development sector. As the real estate sector recalibrates its plans on response, recovery, and resiliency, this paper attempts to provide empirical evidence on the celebrated model in real estate economics proposed by Homer Hoyt and later developed by Glenn R. Mueller: the property cycle. We also provide contextualization on the property cycle empirics under the pandemic, given the sector’s reintroduction of the Real Estate Investment Trust (REIT). We argue that the REIT mainly supports the real estate development industry given the adversities of the pandemic and its accompanying recession, as well as an update to the long-term plans of the industry and its players in compliance with the “new normal”.

Lessons from the fastest Brazilian unicorn

PurposeThe purpose of this paper is to analyze the process of why a Brazilian digital startup company reached unicorn status the fastest.Design/methodology/approachAfter the literature review, the authors conducted the questionnaire containing 13 questions used in 18 in-depth interviews conducted in the case study. Saturation point combined with the independent and in-depth analysis of the researchers is used to achieve internal and external validity. The primary data collected underwent an analytical approach, followed by a resource-based view (RBV). RBV does not deal with time. There is a gap in the literature and an opportunity here: to analyze the fastest company to become a unicorn under the RBV lens.FindingsThe case reveals that value can be found in traditional sectors, as is the case of the real estate sector. This is a case of a company in the direct home-buying space.Practical implicationsThe contribution of this paper is both practical, with the seven lessons, and theoretical. Resources allocated to a specific context in a specific geographic region shift the attention away from the absolute value of resources to the timing of aggregating them. Thus, the contribution accounting for time is new to the RBV.Originality/valueThe originality lies in the analysis of the dynamics of digital businesses with exponential growth.

Is tokenization of real estate ready for lift off in APAC?

PurposeBlockchain and distributed ledger technologies are set to disrupt the real estate sector in all areas: ownership, sale, management and investment. Tokenization moves physical real estate to the digital space and could result in substantial cost savings in the pre- and post-tokenization process. This article discusses whether real estate as an asset class is ready for digitalization in the Asia-Pacific (APAC) region.Design/methodology/approachGlobally, the APAC region has the highest digital adaptation/adoption rates. Regulators in the region are also moving fast to clarify their stance on digital assets. This article adopts a holistic view, from trends, regulations, and technology, to discuss the benefits and challenges of digitalizing real estate in APAC.FindingsReal estate tokenization is a nascent market but platforms like BrickX, KASA, ADDX, and Minterest have successfully launched real estate tokens in Australia, South Korea, and Singapore, respectively. Tokenization may prove to be a viable funding source for those relatively poorly capitalized financial markets in the APAC region.Practical implicationsThis paper discusses the current regulatory and business contexts in relation to the pace of tokenization of real estate in APAC. Opportunities and difficulties are outlined in a concise manner to facilitate more discussion in this area.Originality/valueExisting reports and research articles tend to focus on the western markets. This article provides a new perspective on tokenization, specifically in the APAC context.

Applying Property Pricing Models to Estimate a Foreclosure Discount in the Hotel Real Estate Sector

This study investigates the magnitude of the foreclosure sale discount in the hotel sector. The foreclosure sales discount is captured using three different models: hedonic, hybrid, and repeat sales. Controlling for various hotel attributes and time, the hedonic model shows a foreclosure discount of 40%, followed by the repeat sales model at 42% and the hybrid model at 45%, all relative to non-distressed market prices. The results of the study provide novel empirical evidence of cross-sectional variation in foreclosure discounts between independent hotels and branded hotel segments and by location. In particular, variation in the foreclosure discount is driven by independent and upscale hotels and hotels located in resorts, small metro towns, and urban locations. In addition, the study results reveal the influence of occupancy, deferred maintenance, renovation, and holding period on transaction prices.