A Study of the Debt of Real Estate-Related Industries

Zhu, Xiaohuang; Lin, Song; Wang, Lin; Wu, Wenqi; Qin, Quanli

doi:10.1007/978-981-13-1325-7_6

Cited by 4 publications

(2 citation statements)

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“…Although financing is currently not considered a problem, this could change substantially in times of crisis, with the solvency of developers being an important point that gains in significance during times of crisis (#5). If financing is planned today without considering changing conditions due to financial crises, projects may be canceled (#1, #6) [82]. While big developers that are backed by large companies use equity capital and are not overly reluctant regarding changes in financing conditions, this is a major issue for smaller developers (#5).…”

Section: Discussionmentioning

confidence: 99%

Enhanced Cash Flow Valuation in Real Estate Management by Integrating Innovative Materials and Risk Assessment

et al. 2020

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Environmental criteria have become a critical issue for the evaluation of projects and products, particularly for businesses with extensive life cycles. Sustainability criteria and project risk management are underexplored in real estate development, and thus endanger business survival. The aim of this article is to improve the understanding of uncertainties in the real estate industry by using a stochastic risk assessment approach and to broaden the risk assessment methodology. Thus, this article investigates the importance of material selection regarding external and project risk for real estate development. Aside from conventional projects, risks are analyzed for projects with high-quality materials (HQMs) that are characterized by environmental benefits. In following a mixed method approach, we began by conducting interviews with developers about the most important risks, and later incorporating these factors into a stochastic cash-flow model. Finally, we illustrated our findings in a case study. Overall, the highest risks were shown from resource prices and changing regulations, while the rankings of the two materials differ slightly; HQMs rank higher on the created risk index than conventional materials. The cash-flow model shows that conventional materials perform slightly better than HQMs, although uncertainties within the calculations are similar. The article contributes to risk management and decision-making for real estate projects by providing insights into the discussion and analysis of the financial performance of sustainable construction material and design that might be crucial for disruptive innovations. We present a model that integrates environmental and long-term effects in the cash-flow evaluation of real estate projects, thereby increasing managerial flexibility.

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Section: Discussionmentioning

confidence: 99%

Enhanced Cash Flow Valuation in Real Estate Management by Integrating Innovative Materials and Risk Assessment

et al. 2020

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“…For example, producers would generally require price forecasting information for helping fix sales prices ahead of production, exporters and processors would need it for covering contractual requirements, speculators use it for generating profits, hedgers utilize it for risk management, economists analyse it for market evaluations, the media relies on it for transmitting market information, and policy makers take it into consideration for designing, monitoring, and assessing strategic plans and policies [8][9][10][11][12][13][14][15]. The importance of the commodity price forecasting problem for scrap steel of the metal sector in China should be of no exception, particularly when one considers its significant role to the general public [16][17][18][19][20][21][22], great influences from volatile macro-economic and policy factors and financial markets on prices [23][24][25][26][27][28], and close connections with many other economic sectors and industries [29][30][31][32][33][34][35][36][37][38][39]. Existing studies have clearly demonstrated that commodity prices tend to reveal patterns of irregular volatilities [40][41][42][43][44][45][46][47]…”

Section: Introductionmentioning

confidence: 99%

Scrap steel price forecasting with neural networks for east, north, south, central, northeast, and southwest China and at the national level

Zhang

2023

Ironmaking & Steelmaking

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There is little doubt about importance of forecasting commodity prices to policy makers and diverse varieties of market participants. In this present work, we analyse price forecasting problems for scrap steel for east, north, south, central, northeast, and southwest China and at the national level with daily data during 08/23/2013-04/15/2021. We focus on exploration of usefulness of non-linear autoregressive neural networks and examine forecasting performance based upon a variety of settings over algorithms for model estimations, numbers of hidden neurons and delays, and ratios for splitting the data into training, validation, and testing phases. We arrive at relatively simple models for the seven price series, which lead to forecasts of high accuracy and stabilities with relative root mean square errors below 0.85%. Our results could serve as standalone technical forecasts. They could be combined with other forecasts for forming perspectives of price trends and carrying out policy analysis.

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Utilization of coal fly ash in China: a mini-review on challenges and future directions

Luo

et al. 2020

Environ Sci Pollut Res

109

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A Study of the Debt of Real Estate-Related Industries

Cited by 4 publications

References 0 publications

Enhanced Cash Flow Valuation in Real Estate Management by Integrating Innovative Materials and Risk Assessment

Enhanced Cash Flow Valuation in Real Estate Management by Integrating Innovative Materials and Risk Assessment

Scrap steel price forecasting with neural networks for east, north, south, central, northeast, and southwest China and at the national level

Utilization of coal fly ash in China: a mini-review on challenges and future directions

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