• Title/Summary/Keyword: Rational Bubble

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Empirical Analysis on Rational Bubbles in Ship Prices (선박가격의 합리적 거품에 대한 실증 분석)

  • Choi, Young-Jae;Park, Sung-Hwa;Kim, Hyun-Sok
    • Journal of Korea Port Economic Association
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    • v.34 no.3
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    • pp.183-200
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    • 2018
  • This study empirically tests the presence of rational bubbles in the ship prices using time series data from October 1996 to April 2017. To detect the existence of ship prices' rational bubbles, we use integration and cointegration tests, which were proposed by Campbell and Shiller(1987) and Diba and Grossman(1988), for circumventing misspecification of ship price model and applying the bubble test to nonstationary time series. The result of integration test supports existence of tanker price's rational bubble. The co-integration test also shows that drybulk ship and containership prices have been overvalued relative to the market fundamental, drybulk and container freight rates, due to non-stationary rational bubbles. These results provide Korean shipping industry and authorities implications that anticyclical ship investment and long-term and steady fleet capacity expansion policy are needed.

An Empirical Study on the Estimate of Rational Real Estate Bubble in Korea (한국 부동산 시장의 합리적 버블 추정에 관한 실증연구)

  • Chun, Hae-Jung
    • Journal of the Economic Geographical Society of Korea
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    • v.17 no.1
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    • pp.147-159
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    • 2014
  • The present study was aimed to estimate the rational bubble by using the state space model and Kalman filter, of the national, capital, non-capital, Gangnam, and Gangbuk regions housing sales price from November 2003 to August 2013, for the whole period, and before and after the global financial crisis. For the whole period, Gangnam marked the highest rational bubble of 25.4%, followed by Gangbuk 21.3%, capital region 20.1%, whole country 18.9%, and non-capital region 14.3%. Prior to the global financial crisis, Gangnam showed 26.7% of bubble, which is approximately 7.4% higher than Gangbuk with 19.3%. On the other hand, after the global financial crisis, the bubble has collapsed a lot with Gangnam 13.2% and Gangbuk 10.7%; however, the non-capital region showed rather an increase of about 15% from 4.2% before the crisis to 9.0% after the crisis. The main cause of this is that the trading price has declined but the rents have risen in the capital region including Gangnam and Gangbuk, while the transaction price has gone up in non-capital region due to various positive signs like the moving of public institutions.

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A Study on the Economic Analysis of Box Mechanical Behavior Materials Using LCC Techniques (LCC를 고려한 BOX구조물 뒷채움 재료의 경제성 분석에 관한 연구)

  • Lee, Sang-Hee;Kim, Soo-Yong;Park, Young-Min
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2008.11a
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    • pp.855-858
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    • 2008
  • The lightweight bubble mixture soil are lightweight soft ground rear, which is used with the material filling. However, comparing with the general soil, it is not valuably useful from domestic. The utilization of the general soil which initial public corporation holds mainly few. The overlay method of general soil decreasing the number of layers increases according to use research study. From the research which consequently, BOX mechanical behavior materials rear executed LCC analyses the general soil which is a material filling and lightweight bubble mixture soil, discussed two kind alternatives and presents the analysis will be able to support the decision-making which is rational from the economics. The expense, which results from the resultant of lightweight bubble mixture soil maintenance, was fewer and was then analyzed with the fact that, will be able to secure an economical efficiency within 6 years.

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The Causal Relationship Test between Marine Business Cycle and Shipping Market Using Heterogeneous Mixed Panel Framework (해운경기변동과 선박시장에 대한 다차원 혼합 패널 인과성 분석)

  • Kim, Hyun-Sok;Chang, Myung-Hee
    • Journal of Korea Port Economic Association
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    • v.36 no.2
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    • pp.109-124
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    • 2020
  • Using panel data on freight rates and ship prices in the dry freighter market from January 2015 to December 2019, this study investigates the characteristics of shipping industry fluctuations. The analysis aims at two aspects of academic contribution. First, this study analyzes the relationship between shipping indicators and ship price based on separate dry-bulk ships, while the previous research considered the overall shipping index and weighted average ship prices. Second, the VAR model for the causality test is extended to a heterogeneous mixed panel model capable of limiting coefficients. There is a peak estimated by removing the cross-correlation problem, which is mainly raised in panel data analysis, using bootstrap estimation and solving the problem of information loss due to differences in non-stationary data. An empirical investigation of the causal relationship between economic fluctuations and ship price shows that the effect on the ship price from the freight is significant at the 1% level. This implies that there is a one-way relationship with demand in the shipping industry rather than a bilateral relationship.