(Un)Expected Housing Price Changes: Identifying the Drivers of Small Business Finance

2016 ◽  
Author(s):  
Pavel S. Kapinos ◽  
Tami Gurley-Calvez ◽  
Kandice A. Kapinos
2021 ◽  
Vol 13 (21) ◽  
pp. 12277
Author(s):  
Xinba Li ◽  
Chuanrong Zhang

While it is well-known that housing prices generally increased in the United States (U.S.) during the COVID-19 pandemic crisis, to the best of our knowledge, there has been no research conducted to understand the spatial patterns and heterogeneity of housing price changes in the U.S. real estate market during the crisis. There has been less attention on the consequences of this pandemic, in terms of the spatial distribution of housing price changes in the U.S. The objective of this study was to explore the spatial patterns and heterogeneous distribution of housing price change rates across different areas of the U.S. real estate market during the COVID-19 pandemic. We calculated the global Moran’s I, Anselin’s local Moran’s I, and Getis-Ord’s statistics of the housing price change rates in 2856 U.S. counties. The following two major findings were obtained: (1) The influence of the COVID-19 pandemic crisis on housing price change varied across space in the U.S. The patterns not only differed from metropolitan areas to rural areas, but also varied from one metropolitan area to another. (2) It seems that COVID-19 made Americans more cautious about buying property in densely populated urban downtowns that had higher levels of virus infection; therefore, it was found that during the COVID-19 pandemic year of 2020–2021, the housing price hot spots were typically located in more affordable suburbs, smaller cities, and areas away from high-cost, high-density urban downtowns. This study may be helpful for understanding the relationship between the COVID-19 pandemic and the real estate market, as well as human behaviors in response to the pandemic.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Dayin Li ◽  
Lianyi Liu ◽  
Haitao Lv

The fluctuation of real estate prices has an important impact on China's economic development. Accurate prediction of real estate market price changes has become the focus of scholars. The existing prediction methods not only have great limitations on the input variables but also have many deficiencies in the nonlinear prediction. In the process of real estate market price forecasting, the priority of data and the seasonal fluctuation of housing price are important influencing factors, which are not taken into account in the traditional model. In order to overcome these problems, a novel grey seasonal model is proposed to predict housing prices in China. The main method is to introduce seasonal factor decomposition into the new information priority grey prediction model. Two practical examples are used to test the performance of the new information priority grey seasonal model. The results show that compared with the existing prediction models, this method has better applicability and provides more accurate prediction results. Therefore, the proposed model can be a simple and effective tool for housing price prediction. At the same time, according to the prediction results, this paper analyzes the causes of housing price changes and puts forward targeted suggestions.


2019 ◽  
Vol 3 (2) ◽  
pp. 8
Author(s):  
Jiameng Ma

Shareholders and debtholders have diverging objectives. Shareholders are residual claimants whereas debtholders are fxed claimants to frm’s assets. In leveraged frms, shareholders may increase the value of their claims at the expense of debtholders. The presence of shareholders being debtholders is a smart interest alignment, providing a solution to shareholder-debtholder conflicts. This paper focuses on small businesses, which play an important role in the United States economy but are generally neglected by academia. Utilizing National Survey of Small Business Finance (NSSBF) data, this paper shows that frms with higher agency cost of debt are more likely to issue owner loan. The incidence of small business owner loan is positively associated with external lending diffculty, low shareholder agency cost and frm valuation diffculty.


Sign in / Sign up

Export Citation Format

Share Document