• Economic Analysis
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• v.26 no.3
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• pp.1-47
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• 2020

This paper surveys research since the 1990s on the ability of the yield spread and its components (i.e., expectation spread and term premium components) for future economic activity, and also conducts an empirical analysis of their forecasting ability using the yield data of Korean government bonds. This paper's survey, particularly for the US, shows that the yield spread has significant predictive power for some macroeconomic variables, but since the mid-1980s, its predictive power seems to have declined, possibly due to stronger inflation targeting. Next, this paper's empirical analysis using Korean data indicates that the yield spread, and the term premium component in particular, has significant predictive power for industrial production (IP) growth, consumer price index growth, and the IP gap. An out-of-sample analysis shows that the prediction equations are unstable over time, and that in predicting IP growth, the yield spread decomposition makes a significant contribution to the prediction of IP growth.

• Proceedings of the Safety Management and Science Conference
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• 2008.04a
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• pp.469-476
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• 2008

1986년부터 2002년까지 미국 대도시지역의 아파트와 상가, 사무실의 순가격증가율을 패널데이타로 추정한 결과에 따르면, 이들은 거시경제변수와 단기이자율, 이자율간의 스프레드 차이, 인플레이션 등에 영향을 받는 것으로 나타났다. 이들 자산가격상승률은 경기상황과 반비례관계를 갖는 것으로 나타났는데, 이는 대부분 대출 및 신용과 관련되어 있기 때문이다. 그리고 이는 부동산시장에서 자산 간 수익률 격차를 크게 넓힐 수 있음을 지적하고 있다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.9
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• pp.3900-3914
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• 2012

This study examined the background of the recent global financial crisis and the concept of one of the financial derivatives such as the credit default swap(CDS) or synthetic CDO(collateral debt obligations), given the rapid growing and changing the over-the-counter derivative markets in their volume and structures. In comparison with the previous literature such as the study of Park & Kim (2011), this research empirically performed more thorough and comprehensive investigations to find any financial characteristics or attributes to determine the CDS spreads. Regarding the results obtained from the multiple regression models, the explanatory variables such as STYIELD3, SLOPE, INASSETS, and VOLATILITY, showed their statistically significant effects on all the tested dependent variables(DVs). Another procedure such as the principle component analysis(PCA), was also performed to account for additional IDVs as possible determinants of the dependent variables. Subsequent to this analysis, larger coefficients of each corresponding eigenvector such as BETA, PFT2, GROWTH, STD, and BLEVERAGE were found to be possible financial determinants. For robustness, all the IDVs were employed to be tested in the 'full' regression model with stepwise procedure. As a result, STYIELD3, SLOPE, and VOLATILITY, and BETA showed their statistically significant relationship with all the dependent variables of the CDS spreads.

• Proceedings of the Safety Management and Science Conference
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• 2009.04a
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• pp.455-475
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• 2009

According to the returns of Housing and business cycle over the period 1992 to 2007, it is a measure of the total volatility faced by investors in Housing properties. First, it isn't a distinct difference from business cycle contrary to U.S. Second, the rise of purchase price in total apartments moves up the consumer price index. According to the cross-sectional dispersion of returns and growth in net operating income (NOI) of apartments, industrial, retail and office properties using panel data for U.S. metropolitan areas over the period 1986 to 2002, it is a measure of the total volatility faced by investors in commercial real estate. To the extent that most of that volatility is difficult to diversify, cross-sectional dispersion may be an appropriate measure of risk.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.379-384
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• 2020

The purpose of this study is to analyze the impact of individual savings banks' financial conditions on their loan portfolio after savings bank restructuring. The analysis results are as follows. First, it was estimated that the relationship between the rate of change in the NPL Ratio and the ratio of household loans has a significant positive value. Second, it was estimated that the interaction effect between the rate of change in the ratio of fixed and below loans and the spread of the deposit-to-deposit rate has a significant negative (-) value with the household loan weight. Third, the relationship between the asset size and the proportion of household loans was estimated to have a significant positive (+) value. In other words, it was analyzed that the financial situation of the savings bank affects the loan portfolio, and it should provide important implications for establishing policies for each financial situation of the savings bank. Depending on the financial situation in the future, there is a need to avoid excessive asset expansion of specific loans and preemptive soundness management.