Rating Inflation in Corporate Bond Markets

Kang, Kyeong-Hoon; Bae, Young-Soo; Han, Jae-Joon

doi:10.20464/kdea.2016.22.3.3

Korean Dev Econ Assoc

2016

DOI: 10.20464/kdea.2016.22.3.3

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Rating Inflation in Corporate Bond Markets

Kyeong-Hoon Kang¹,

Young-Soo Bae²,

Jae-Joon Han³

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Building a Diagnostic Model for the Development Phase of Gentrification in the Original City Centers of the Provinces in Korea

Jang

Yoon

2022

Sustainability

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Recently, gentrification has occurred not only in Seoul, the capital, but also nationwide in Korea. In other countries such as the United States and Europe, it occurs in various areas such as housing, commerce, and culture, but in Korea, it occurs in most commercial areas. In addition, the resulting social problems are also very serious, and the pace of occurrence and progress is also very fast. The present study was conducted on Korean cities, especially local cities where gentrification occurred due to the government’s urban regeneration project. A system was established to analyze the occurrence phenomenon from a supply perspective and a demand perspective, and to synthesize them to predict the stages that proceed when gentrification occurs by period. Through this, it will be possible to observe and predict gentrification phenomena and respond in advance.

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Building a Diagnostic Model for the Development Phase of Gentrification in the Original City Centers of the Provinces in Korea

Jang

Yoon

2022

Sustainability

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Do Public-Led Housing Site Development Projects Affect Local Housing Prices: A Proposal for a Comprehensive Policy Evaluation Methodology

Kim,

Jee,

2023

Sustainability

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As the population in urban areas increases, the importance of adequate public-led development policies for sustainable cities with affordable housing is becoming more highlighted. In this regard, this study aims to determine the effectiveness of public-led urban development policies for sustainable growth in urban areas, specifically measuring the effect of housing site development projects on housing prices. The geographical scope of the study is the project sites and their surrounding areas in South Korea, and the temporal background is from 2006 to 2023. The project sites were subdivided into four groups by using the Self-Organization Map (SOM), a machine-learning-based clustering analysis, to collect characteristics of each region. Then, the impact of the policy and the prediction of the real estate market of each cluster were analyzed by applying the DID and LSTM models, which have recently been proven to show a high validity. The results show that each cluster had different characteristics and effects from the development projects, depending not simply on the location, but on several characteristics, including the level of size, infrastructure installation, input cost, etc. Furthermore, it is expected for future studies that more detailed research should be conducted with larger datasets of the regional characteristics.

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Rating Inflation in Corporate Bond Markets

Cited by 2 publications

References 0 publications

Building a Diagnostic Model for the Development Phase of Gentrification in the Original City Centers of the Provinces in Korea

Building a Diagnostic Model for the Development Phase of Gentrification in the Original City Centers of the Provinces in Korea

Do Public-Led Housing Site Development Projects Affect Local Housing Prices: A Proposal for a Comprehensive Policy Evaluation Methodology

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