• Journal of the Korea institute for structural maintenance and inspection
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• v.9 no.4
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• pp.169-176
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• 2005

An analysis of the annual frequency of collapse(AF) is performed for each bridge pier exposed to ship collision. From this analysis, the impact lateral resistance can be determined for each pier. The bridge pier impact resistance is selected using a probability-based analysis procedure in which the predicted annual frequency of bridge collapse, AF, from the ship collision risk assessment is compared to an acceptance criterion. The analysis procedure is an iterative process in which a trial impact resistance is selected for a bridge component and a computed AF is compared to the acceptance criterion, and revisions to the analysis variables are made as necessary to achieve compliance. The distribution of the AF acceptance criterion among the exposed piers is generally based on the designer's judgment. In this study, the acceptance criterion is allocated to each pier using allocation weights based on the previous predictions.

• The Korean Journal of Applied Statistics
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• v.22 no.5
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• pp.995-1005
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• 2009

Conditional correlation between financial time series plays an important role in risk management, asset allocation and portfolio selection and therefore diverse efforts for modeling conditional correlations in multivariate-GARCH processes have been made in last two decades. In particular, CCC (cf. Bollerslev, 1990) and DCC(dynamic conditional correlation, cf. Engle, 2002) models have been commonly used since they are relatively parsimonious in the number of parameters involved. This article is concerned with DCC modeling for multivariate GARCH processes in comparison with CCC specification. Various multivariate financial time series are analysed to illustrate possible advantages of DCC over CCC modeling.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.153-159
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• 2018

In recent years, the development of weapons systems in the field of defense research and development has become increasingly large, complex, and long-term, and so have budgets and the time spans involved. In order to improve this, the Weapon Systems Requirement Verification Committee, which benchmarked the preliminary feasibility of the private sector, was established to verify the appropriateness of requirements, and the necessity and priority of the projects. This research proposes a methodology for analyzing and prioritizing proposed weapons systems for effective and strategic allocation of defense budget funding. First, the evaluation factors that can be used in the defense sector were assessed by analyzing the related fields. We set the weighting of items by using the analytical hierarchy process for technical risk assessment and technical profitability evaluation. After that, we applied the methodology to 32 weapons systems and analyzed the results. In conclusion, through this study, it was possible to analyze profitability dimensions overlooked in the existing methodology.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.27 no.4
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• pp.1-15
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• 2014

Objective : This study was carried out to analyze the quality and quantity of Clinical Trials that have been published in the journal of korean medical ophthalmology, otolaryngology, dermatology(JKOOD). Methods : We analyzed 25 clinical trials that published in JKOOD from 1988 to 2014. We excluded case reports, protocol and retrospective studies and classified searched papers into three categories; Randomized Clinical Trials(RCT), Non Randomized Clinical Trials(NRCT), Before After Study(BAS) by using study Design Algorithm for Medical literature of Intervention(DMAI). All articles were analyzed according to diagnosis, statistics program and intervention period. The bias of RCTs were evaluated by Cochrane Risk of Bias(RoB). Result : 1. The number of searched journals is 25 papers; 13 RCT, 2 NRCT, 10 BAS 2. Distribution of clinical trial; 'Atopic dermatitis' ranked the highest(44%) in disease, 'External application' raked the highest(71%) in treatment method. 3. 'allocation sequence' and 'prevention of allocated intervent to patients and therapists' are graded 'Low' but 'incomplete outcome date' and 'selective outcome' are graded 'Uncertain'. Conclusions : It is necessary to study more RCT. It will be helpful to study systematic reviews and meta analysis in JKOOD.

• International Area Studies Review
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• v.14 no.3
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• pp.62-84
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• 2010

Accurate forecasting of volatility is of considerable interest in financial volatility research, particularly in regard to portfolio allocation, option pricing and risk management because volatility is equal to market risk. So, we attempted to delineate a model with good ability to forecast and identified stylized features of volatility, with a focus on volatility persistence or long memory in the Australian futures market. In this context, we assessed the long-memory property in the volatility of index futures contracts using three conditional volatility models, namely the GARCH, IGARCH and FIGARCH models. We found that the FIGARCH model better captures the long-memory property than do the GARCH and IGARCH models. Additionally, we found that the FIGARCH model provides superior performance in one-day-ahead volatility forecasts. As discussed in this paper, the FIGARCH model should prove a useful technique in forecasting the long-memory volatility in the Australian index futures market.

• Korea Real Estate Review
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• v.28 no.2
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• pp.21-34
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• 2018

The purpose of this study is to investigate the effect of macro-finance variables on the correlation between the housing and stock markets because understanding the nature of time-varying correlations between different assets has important implications on portfolio allocation and risk management. Thus, we adopted the AG-DCC GARCH model to obtain time-varying, conditional correlations. Our sample ranged from January 2004 to November 2017. Our empirical result showed that the coefficients on asymmetric correlation were significantly positive, implying that correlations between the housing and stock markets were significantly higher when changes in the housing price and stock returns were negative. This finding suggested that the housing market has less hedging potential during a stock market downturn, when such a hedging strategy might be necessary. Based on the regression analysis, we found that the term spread had a significantly negative effect on correlations, while the credit spread had a significantly positive effect. This result could be interpreted by the risk premium effect.

• International Area Studies Review
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• v.14 no.2
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• pp.25-40
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• 2010

Accurate forecasting of volatility is of considerable interest in financial volatility research, particularly in regard to portfolio allocation, option pricing and risk management because volatility is equal to market risk. So, we attempted to delineate a model with good ability to forecast and identified stylized features of volatility, with a focus on volatility persistence or long memory in the Australian futures market. In this context, we assessed the long-memory property in the volatility of index futures contracts using three conditional volatility models, namely the GARCH, IGARCH and FIGARCH models. We found that the FIGARCH model better captures the long-memory property than do the GARCH and IGARCH models. Additionally, we found that the FIGARCH model provides superior performance in one-day-ahead volatility forecasts. As discussed in this paper, the FIGARCH model should prove a useful technique in forecasting the long-memory volatility in the Australian index futures market.

• Journal of Korean Medicine Rehabilitation
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• v.31 no.1
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• pp.137-147
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• 2021

Objectives Domestic acupuncture research is being actively conducted in various fields. The aim of this study is to systematically analyze the current acupuncture randomized controlled trials (RCTs) conducted on healthy volunteers. Methods We searched RCTs by the search terms of (acupuncture & random & healthy) in 10 electronic databases and related journals. Then, we analyzed the characteristics and assessed the risk of bias by Cochrane tool. Results Finally, 49 acupuncture RCTs on health volunteers were included in our analysis. The purpose of research could be classified into five major categories: (1) checking the effects on physiological function, (2) comparing the effects of different acupuncture/acupuncture methods, (3) a study confirming improvement after inducing a specific condition, (4) a sham acupuncture study, and (5) a comparison of acupuncture sense. The Cochrane risk of bias was generally high, especially only 1 trial adopted allocation concealment (1/49, 2.0%) and 9 ones with assessor blinding (9/49, 18.4%). Conclusions Acupuncture RCTs in healthy subjects have confirmed various effects in various age/sex groups. However the research quality should be updated for future clinical research and to draw clear conclusion within rigorous methodology.

• Journal of Korean Medicine Rehabilitation
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• v.33 no.4
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• pp.61-78
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• 2023

Objectives This systematic review aimed to analyze the effectiveness, safety and the reporting quality of scalp acupuncture (SA) treatment for musculoskeletal disease (MSD). Methods Eleven databases were systematically searched up to July 12th 2023. Randomized controlled trials (RCTs) of SA treatment for MSD were selected manually by the inclusion criteria. The risk of bias of RCTs was assessed using the Cochrane's Risk of Bias (RoB) 1.0 and the reporting quality of studies was evaluated using Consolidated Standards of Reporting Trials (CONSORT) 2010 statement and Standards for Reporting Interventions in Clinical Trials of Acupuncture (STRICTA) 2010 checklist. Results Ten clinical studies were met the inclusion criteria. Most of studies reported SA treatment significantly alleviated pain and functional disability of MSD patients and no serious adverse effects were reported. In RoB assessment, blinding of participants and personnel was found to have the highest RoB and allocation concealment was found to have the most unclear RoB. In CONSORT 2010 statement evaluation, all studies reported 15.3 items (41.4%) on average. In STRICTA 2010 checklist evaluation, all studies reported 11.2 items (65.9%) on average. Conclusions The systematic review found that SA treatment may alleviate pain and functional disability of MSD patients and have little severe adverse effect. The reporting quality of included studies was mainly low, therefore, further studies with strict adherence to the CONSORT and STRICTA checklist should be encouraged.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.1 no.1
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• pp.91-100
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• 2000

In 1997 the recession of Korean economy brought about the bankruptcy of large corporations and the large size of non-Performing financial assets which led to IMF financial crisis. One of the major reasons for IMF financial crisis was poor loan management of domestic financial institutions . During the restructuring process of financial institutions since the IMF financial crisis, the importance of the loan management has been recognized. Especially. financial institutions' credit allocation had been concentrated on a few big conglomerates and their subsidies as well as some specific business areas. Hence, risk-diversifying portfolio effects were not reflected in any loan portfolios. The IMF financial crisis in 1997 has clearly showed that credit-risk management is essential not only for individuals' loan but also for portfolios consisting of various loans The main objective of this paper is to provide some suggestions on the direction for financial institutions in Korea to improve their loan portfolio management. Particularly, for the effective management of loan portfolios, this paper introduces quantitative credit-risk management schemes such as KMV models and CreditMetrics which are commonly used in financial institutions in advanced countries. Financial institutions in Korea should make their best efforts to establish a more scientific as well as quantitative loan portfolio management.