• The Korean Journal of Financial Studies
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• v.13 no.1
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• pp.111-131
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• 2007

본 연구에서는 한국과 미국 두 국가에 있어 이자율 스왑시장간의 정보전달 메커니즘에 대해 분석하였다. 이를 위하여 데이터로 2003년 초부터 2006년 말까지 4년간 Bloomberg에서 집계된 3년물, 5년물, 10년물 이자율 스왑금리를 사용하였으며, 메커니즘의 동태 분석은 VAR 모형을 사용하였다. 분석 결과, 그랜저 인과관계 검정, 충격반응함수 분석 및 분산분해 분석 모두 결과적으로 미국 이자율 스왑시장의 정보가 국내 이자율 스왑시장에 상당한 영향력을 가진다는 사실을 알 수 있었다. 또한 이러한 미국 시장의 국내 시장으로의 정보의 전이 현상은 3년물, 5년물, 10년물 이자율 스왑에 같이 나타나는 현상으로 스왑계약 기간에 상관없음이 관측되었다. 한편, 충격반응함수 분석 결과, 미국의 이자율 스왑시장의 충격은 국내 이자율 스왑시장에 다음 날 바로 유의한 영향을 주는 것으로 나타났으며 그 충격은 2일간 지속되었다. 반면 국내 이자율 스왑시장의 정보는 미국 시장에 별 영향력을 발휘하지 못했다.

• Korean Journal of Construction Engineering and Management
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• v.13 no.3
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• pp.109-121
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• 2012

Overseas construction project orders have shown steady increase since 2001, and it took 44.5% of the total construction project orders in 2010. Overseas construction project needs more complex risk management because it is affected by more various circumstance factors than the domestic construction is. Previous studies have centered on the internal risk factors to assist the decision-making, but there are few researches on the importance and techniques of foreign exchange risk management. Inadequate management of foreign exchange risk has been found to cause huge damages due to the lacking recognition on the importance of foreign exchange risk management. Therefore, current study designed a foreign exchange risk manage model to help efficient management and decision-making. This model was developed as a technique to meet the demand of the increasing overseas construction projects for the efficient management of foreign exchange risk, and the technique will lower the risk with more and more accurate outcome by accumulating the data of profit-and-loss.

• Economic Analysis
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• v.27 no.1
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• pp.1-36
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• 2021

Given the US dollar's status as a global safe haven, global factors, such as US monetary policy, may have considerable impacts on financial markets in other countries. Regarding such hypothesis, this paper looked at the impacts of US monetary policy on domestic bond and FX swap markets through an event study. According to our analysis, US monetary policy had significant positive impacts on domestic interest rates. In particular, it turned out to have bigger impacts on long-term products with high term premiums. By period, the correlation between US monetary policy and domestic interest rates was not significant before the financial crisis, but was clearly positive after the crisis. The US conventional monetary policy was seen to have big impacts on short-term and medium-term KTB yields, while its unconventional monetary policy had major impacts on long-term KTB yields. Moreover, FX swap rates reacted very sensitively to US monetary policy shocks before the financial crisis, while they did not show any significant reactions after the crisis. This suggests that, in line with the covered interest rate parity, the impact of US monetary policy shocks was transmitted to domestic financial markets mainly through swap rate adjustments before the global financial crisis, but through the changes in domestic interest rates during the post-crisis period.

• 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.