2017, Vol.27, No.3

Korea Real Estate Review 2023 KCI Impact Factor : 0.56

pISSN : 2092-5395 / eISSN : 2733-8339
https://journal.kci.go.kr/krer

Establishing greater reliability in property appraisal is critical because it promotes the public interest. Reliability is composed of competence and ethics. In particular, the ethics of property appraisal has individual and corporational aspects. This study aimed to evaluate how the ethical climate of a firm is affected by the scale of appraisal firms, thereby validating the effect of the ‘Large Appraisal Firm System’. Hence, the ethical climate of appraisal firms, an indicator of inherent ethical value recognition, was investigated, divided into recognition of social responsibility and exclusion of self-interest. The study results showed that the ethical management systems of appraisal firms encourage the appraisers of such firms to be conscious of their social responsibility and to exclude self-interest in their work. The degree of such influence, however, differs according to the scale of appraisal firms. Based on these results, further research on the maintenance and operation of the ethical management systems of appraisal firms is required to enhance the reliability of property appraisal.

This study examined the motive and incentive for the disposal and purchase of corporate real estate assets based on the various firm characteristics. It was empirically found that firms with a higher leverage ratio, lower cash holdings, and lower sales growth are more likely to dispose of their real estate assets. This implies that financial constraints, internal reserves, and growth opportunities are important factors affecting the corporate decisions regarding the disposal of real estate assets. Meanwhile, it was found that firms with a lower leverage ratio have a higher probability of purchasing real estate assets, suggesting that a stable financial structure enables firms to acquire more of such assets. Using the transaction amount of corporate real estate assets, consistent results were found. While varied opinions on the utilization of corporate real estate assets have been raised, this study broadened the understanding of such by performing rigorous analyses. The result of this study would have practical implications in terms of the introduction of regulations or the establishment of business strategies related to corporate real estate assets.

Previous studies, especially that by Lee (2014), showed how time series volatility models can be applied to the house price series. As the regional housing market trends, however, have shown significant differences of late, analysis with national data may have limited practical implications. This study applied volatility models in analyzing and forecasting regional house prices. The estimation of the AR(1)-ARCH(1), AR(1)-GARCH(1,1), and AR(1)-EGARCH(1,1,1) models confirmed the ARCH and/or GARCH effects in the regional house price series. The RMSEs of out-of-sample forecasts were then compared to identify the best-fitting model for each region. The monthly rates of house price changes in the second half of 2017 were then presented as an example of how the results of this study can be applied in practice.