• 재무관리연구
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• 제25권2호
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• pp.69-101
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• 2008

본 연구는 결정적변동성 옵션가격결정모형보다 더 일반적인 조건에서도 성립되는 옵션의 레버리지효과와 기초자산을 일차원확산과정으로 제약할 경우에만 성립되는 여분가정의 성립여부를 실증적으로 검증하였다. 다음으로 여분가정이 기각될 경우 해당원인을 규명하기 위해, 기초자산과의 선형적인 관계하에서의 레버리지 이외에 KOSPI 200 지수옵션의 가격동학에 내재된 추가적인 체계적 위험요인들을 규명하였다. 분석결과 이론과 일치하는 레버리지패턴이 존재하였지만 여분 자산가정은 기각되었다. 여분가정이 기각되는 원인을 분석한 결과, 선형적인 레버리지하에서의 기초자산의 불확실성에 대한 프리미엄 이외에, 비선형적인 수익구조하에서의 체계적 고차적률에 대한 선호와 체계적 확률변동성위험에 대한 음의 프리미엄이 옵션의 시장가격에 반영되어 있는 것으로 나타났다. 그러나 점프위험에 대한 선호여부는 명확하지 않으며 이에 대한 추가적인 연구가 요구되었다.

• 보건행정학회지
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• 제9권1호
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• pp.156-177
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• 1999

The current method of rate adjustment for inflation is based on the evaluation of the financial performance of hospitals. The method has the disadvantage such as too complicated, expensive process as well as low reliability. This study, therefore, develops the 'Korean Medical Insurance Economic Index(MIEI)' as a new model for the rate adjustment with the use of the macro economic indices. In addition, we calculate the 1992∼1998 rate adjustment with the MIEI, and examines the validity of the MIEI by comparing with the conventional method. Medical costs are classified into nine categories : physician salaries, nurse·pharmacist·medical technician salaries, assistants & others salaries, material cost(by imports), material cost(by domestics), depreciation & rent paid(by imports), depreciation & rent paid(by domestics), power utilities, other administrative costs. Then the category weight which is the ratio of category in the total cost is calculated. Macro economic indices are selected for each cost category in order to reflect the concept of the each cost category and inflation during the year of 1992∼1998. Finally MIEI which integrate all category according to the category weight and selected macro indices is calculated. The mean of hospital MIEI which weighting by amount paid by insurers was cacluated. The result from the application of empirical data to the MIEI model is very similar to that of the current method. Furthermore, this method is very simple and also easy to get social consensus. This MIEI model can be replaced the current method based on the analysis of the financial performance for the adjustment of medical fees.

• 디지털융복합연구
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• 제17권4호
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• pp.65-73
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• 2019

연구는 부채비율을 종속변수로 하고 ROE(자기자본 이익률), 매출액, 유동비율, 자본총계, 운임지수인 SCFI(Shanghai Containerized Freight Index)를 독립변수로 하여 패널회귀분석을 실시하였다. GLS 분석결과, 유동비율의 경우 부채비율에 부(-)의 영향을 끼쳤고, 매출액의 경우 부채비율에 정(+)의 영향을 끼쳤다. 또한 자본총계는 부채비율에 부(-)의 영향을 미쳤다. 하지만 ROE의 경우 가설과는 다르게 부채비율에는 부(-)의 영향을 끼쳤고, SCFI지수는 유의미하지 않았다. 본 연구의 시사점으로 글로벌 선사의 부채비율이 높아질수록 글로벌 선사가 규모의 경제를 달성해 매출이 증가한 것을 확인했다. 하지만 타인자본 투입을 통한 규모의 경제실현은 매출액 증가에는 도움은 되지만, 당기순이익에는 영향을 미치지 못함을 확인하였다. 선사는 영업력을 확대하고 대형 컨테이너선을 확보하는 등의 화주 신뢰성을 확보하는 전략에 병행해야 한다. 향후 연구에서는 환율, 세계 경제 성장률, 제조업 생산지수 등을 고려한 분석이 필요하다.

• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.197-204
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• 2020

Nowadays, many construction engineering and technology enterprises are evolving to find that prosperity is driven and inspired by an open economy with dynamic markets and fierce multifaceted competition. Besides brand and product uniqueness, the ability to quickly provide customers with quotes are matters of concern. Such a requirement for prompt cost estimation of construction investment projects with the use of a construction price index poses a significant challenge to contractors. This is because the nature of the construction industry is shaped by changes in domestic and foreign economic factors, socio-financial issues, and is under the influence of various micro and macro factors. This paper presents a fuzzy decision-making approach for calculating critical factors that affect the construction price index. A qualitative approach was implemented based on in-depth interviews of experts in the construction industry in Vietnam. A synthetic comparison matrix was calculated using Buckley approach. The CoA approach was applied to defuzzified the fuzzy weights of factors that affect the construction price index. The research results show that the top five critical factors affecting the construction price index in Vietnam are (1) consumer price index, (2) gross domestic product, (3) basic interest rate, (4) foreign exchange rate, and (5) total export and import.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.1113-1119
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• 2021

This study aims to determine the impact of the news coverage of the COVID-19 pandemic on the composite stocks' movement (IHSG) in Indonesia. This study used secondary data of daily time series with an observation range of March 2020-June 2020. This study used three main variables, namely, COVID-19 news, the daily price of a composite stock market index (IHSG), and interest rate. This study clarifies pandemic news into two forms to facilitate quantitative analysis, namely, good news and bad news. Both pandemic news conditions, which have been clarified, are then processed into the index and reprocessed along with two other variables using vector autoregressive (VAR). The results showed that the good news have a dominant effect on developing the composite stock price index (IHSG) in Indonesia during the COVID-19 pandemic. Although the good news dominates the composite stock price index (IHSG) movement in Indonesia, the bad news must also be anticipated. By implementing a series of macroeconomic policies that follow the conditions of the composite stock price index (IHSG) movements on the stock exchange floor, the bad news response can decrease the potential for a decline in investor confidence, so that the financial system's macroeconomic stability is maintained.

• 보건행정학회지
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• 제7권1호
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• pp.73-99
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• 1997

This study was carried out by using questionnaires with 126 insurance societies from Sept. 30, 1995 to Oct. 18, 1995. The primary data collected bythe survey have been significantly supplemented by secondary data obtained from sources such as health insurance statistical year books and internal data in the Ministry of Health and Wolfare. Major findings were summarized as follows: Two financial coordinating programs have significantly improved financial status of regional health insurance societies: the catastrophic program for high cost medical care that was initiated in 1991 and the program for hospitalization cost of the aged in 1995. Another finding is that there existed ambiguity and inconsistency of equity index that had been used by stabilization programs and its side effects could not be ignored. Regression analyses were made to identify factors that affect financial transfers. Inde pendent variables in the regression include utilization frequency, dependancy ration, insurance contribution per insured and medical expense per insured. All these variables were statistically significant in the equations of applying distribution rate (distribution/contribution) and transfer rate (transfer/contribution) as dependent variables. Policy suggestions for the catastrophic program for high cost medical care are modifying the definition of catastrophic case and setting the maximum amount of subsidies for each society based on distribution rates. To solve the problems of the financial coordinating program for the aged, we could consider reimbursing more than 50% of the copayment incurred by the aged 65 or more and determining the maximum amount of outpatient copayment at 10,000 Won per day or per visit for the elderly. More fundamental improvement could be made by amending the Welfare Benefit Act to establish and expand medical and welfare facilities for the elderly.

• 벤처창업연구
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• 제6권2호
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• pp.133-147
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• 2011

본 연구에서는 최근 꾸준한 성장세를 보이고 있는 의료산업의 국내벤처기업에 대한 신용 평가를 위해 먼저 기업의 재무 요인과 비재무 요인을 구분하여 평가지표를 개발한 다음 Saaty(1980)의 계층분석과정(Analytic Hierarchy Process; AHP)방법론을 적용하여 각 지표의 중요도(가중치)를 산출함으로써 의료벤처기업의 신용평가모형을 제시한다. 재무요인의 상위지표로는 수익성, 안전성, 활동성, 성장성, 생산성을 선택하였고, 각 상위지표에 대해서는 2개씩의 하위지표를 정하여 모두 10개의 지표를 설정하였다. 또 비재무적 요인의 상위지표로는 경영자 능력, 기술성, 시장성, 사업성, 신뢰성의 5개 영역을 정하고, 각 영역에 대해 2-5개의 하위지표를 정하여 모두 17개의 지표를 설정하였다. 신용평가지표에 대한 평가를 위해 원주의료기기클러스터 내 소재하고 있는 금융기관 및 보증기관의 심사역을 대상으로 설문조사를 한 후 이를 분석하여 평가지표에 대한 가중치를 산출하였다.

• The Journal of Asian Finance, Economics and Business
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• 제7권1호
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• pp.29-36
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• 2020

Stock price multiple is one of the most well-known equity valuation technique used to forecast equity price. It measures by multiplying "the ratio of stock price to a value driver" by a value driver. The value driver can be earning per share (EPS), sales or other financial measurements. The objective of price multiple technique is to evaluate the value of assets and compare how similar assets are priced in the market. Although stock price multiple technique is common in financial filed, studies on the application of the technique in Thailand is still limited. The present study is conducted to serve three major objectives. The first objective is to apply the technique to measure value of firms in banking sector in the Stock Exchange of Thailand. The second objective is to develop composite price multiple index to forecast equity prices. The third objective is to compare valuation accuracy of different value drivers of price multiple (i.e. EPS, Earnings Growth, Earnings Before Interest Taxes Depreciation and Amortization, Sales, Book Value and Composite Index) in forecasting equity prices. Results indicated that EPS is the most accurate value drivers of price multiple used to forecast equity price of firms in baking sector.

• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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• pp.95-104
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• 2020

In financial economics studies, the autoregressive model has been a workhorse for a long time. However, the model has a fixed value on every parameter and requires the stationarity assumptions. Time-varying coefficient autoregressive model that we use in this paper offers some desirable benefits over the traditional model such as the parameters are allowed to be varied over-time and can be applies to non-stationary financial data. This paper provides the Monte Carlo simulation studies which show that the model can capture the dynamic movement of parameters very well, even though, there are some sudden changes or jumps. For the daily data from January 1, 2015 to February 12, 2020, our paper provides the empirical studies that Thailand, Taiwan and Tokyo Stock market Index can be explained very well by the time-varying coefficient autoregressive model with lag order one while South Korea's stock index can be explained by the model with lag order three. We show that the model can unveil the non-linear shape of the estimated mean. We employ GJR-GARCH in the condition variance equation and found the evidences that the negative shocks have more impact on market's volatility than the positive shock in the case of South Korea and Tokyo.

• 재무관리연구
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• 제17권2호
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• pp.175-209
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• 2000

본 연구는 프로그램매매가 주가지수 선물시장 및 현물 주식시장의 수익률 변동성에 미치는 효과에 대해서 일중 수익률 및 프로그램매매자료를 이용하여 분석을 시도하였다. 실증분석을 통해서 관찰된 결과를 살펴보면 대부분 선진국 시장에서 보고된 결과와 일치하였다. 우선 프로그램매매가 증가할수록 현물 주식시장에서의 변동성은 증대하는 것으로 나타났으나 선물시장에서는 그러한 일관성 있는 관계를 발견하지 못하였다. 프로그램매매 발동 직후 선물 및 현물시장의 수익률은 반전현상을 나타냈으며 특히 현물시장의 가격변화가 선물시장에 비해서 큰 것으로 관찰되었다. 그러나 이러한 선물시장과 현물시장에 있어서의 가격반전 현상이 시장 유동성에 미치는 경제적 영향은 선물만기일과 같이 특정시간대에 프로그램매매가 집중되지 않는 한 경미한 것으로 판단되었다. 프로그램매매 특히 차익거래는 선물 가격과 현물 가격간의 균형 관계가 일시적인 수급상황에 따라 이발될 경우 이를 다시 균형 상태로 회복시켜 줌으로써 시장의 효율성을 증대시키는 주요한 연결통로로서의 역할을 수행한다. 특히 두 시장간의 균형 상태는 선물 시장보다는 현물 주식시장에서의 활발한 매매 활동을 통하여 이루어짐을 알 수 있었다. 결론적으로 국내시장에서 차익거래는 시장의 위험을 증대시키는 부정적인 측면보다는 시장의 효율성을 증진시키는 긍정적인 순기능이 많은 것으로 관찰되었다.