• Title/Summary/Keyword: 더미변수

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부도시의 시장반응과 후속 기업재건 여부와의 관계

  • Park, Ju-Cheol;Lee, Nam-U
    • The Korean Journal of Financial Studies
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    • v.11 no.1
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    • pp.217-242
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    • 2005
  • 본 연구에서는 부도기업의 부도 후 회생여부와 부도발생시의 주식시장의 반응과의 관계를 조사하였다. 즉 증권시장이 부도기업의 사후적인 회생 또는 회생실패에 대한 통찰력을 부도시에 이미 갖고 있는지를 부도처리시의 주가반응을 분석함으로써 검정하고자 하는 것이다. 이를 위하여 외환위기 후 상장기업의 부도가 빈발하였던 1998년에서 2000년 사이에 부도가 발생한 상장회사 55개 기업을 대상으로 후에 회생한 기업(31개기업)과 그렇지 못한 기업(24개 기업)을 구분하여 후에 회생한 기업의 부도시의 주가반응이 회생하지 못한 기업의 부도시의 주가반응보다 덜 부정적이었는지를 검정하였다. 실증분석 결과 부도기업 중 후에 회생한 기업(31개기업)의 분석기간 ($-10{\sim}+10$)중 평균초과수익률과 누적평균초과수익률이 비회생기업(24개기업)의 그것에 대하여 유의한 (+)의 차이가 나타나지 않았다. 또한 부도기업의 누적초과수익률을 종속변수로 하고 회생여부를 나타내는 더미변수, 전년도감사의견이 적정의견인지의 여부, 부채비율, 총자산(억원) 자연 로그값, 사전적 폭로정보 대용변수로서의 지난 1년간 주가반응을 의미하는 (-230, -11)윈도우 누적초과수익률을 독립변수로 하여 다중회귀분석을 실시하였으나 부도후 회생여부를 나타내는 더미변수의 회귀계수는 유의적이지 않았다. 따라서 초과수익률 차이분석결과 회생기업의 부도시의 주가반응이 비회생기업의 그것에 비하여 유의한 (+)의 차이가 없고, 또한 회귀분석 결과 부도시의 초과수익률과 부도후 회생여부는 유의한 관계가 없으므로 부도처리시의 주가반응에서 후에 회생하는 기업이 그렇지 않은 기업보다 덜 부정적일 것이다라는 연구가설은 기각된다.등에 대한 평가기준의 재정립이 강구되어야 할 것이다.한 변동성에서 큰 위험프리미엄이라는 연결고리를 거쳐 코리아 디스카운트라는 현상으로 귀착되는 현상에 주목하고 있는 본 연구의 결과가 실무에서 유용하게 사용됨은 물론이요 또한 본 연구의 방법론 자체가 매우 정교하고 포괄적이어서 금융시계열을 포함한 다른 여러 분야에 크게 응용될 수 있는 외부효과도 기대된다.R 효과는 전통적 의미의 일반적으로 낮은 PER종목이 초과수익률을 내는 것이 아니라, 기업규모가 크더라도 그 기업의 개별특성을 고려했을 때 이와 비교해 상대적으로 PER가 낮은 종목에 투자하면 초과수익을 낼 수 있음을 의미한다. 발견하였다.적 일정하게 하는 소비행동을 목표로 삼고 소비와 투자에 대한 의사결정을 내리고 있음이 실증분석을 통하여 밝혀졌다. 투자자들은 무위험 자산과 위험성 자산을 동시에 고려하여 포트폴리오를 구성하는 투자활동을 행동에 옮기고 있다.서, Loser포트폴리오를 매수보유하는 반전거래전략이 Winner포트폴리오를 매수보유하는 계속거래전략보다 적합한 전략임을 알 수 있었다. 다섯째, Loser포트폴리오와 Winner포트폴리오를 각각 투자대상종목으로써 매수보유한 반전거래전략과 계속거래 전략에 대한 유용성을 비교검증한 Loser포트폴리오와 Winner포트폴리오 각각의 1개월 평균초과수익률에 의하면, 반전거래전략의 Loser포트폴리오가 계속거래전략의 Winner포트폴리오보다 약 5배정도의 높은 1개월 평균초과수익률을 실현하였고, 반전거래전략의 유용성을 충분히 발휘하기 위하여 장단기의 투자기간을 설정할 경우에 6개월에서 36개월로 이동함에 따라 6개월부터 24개월까지는 초과수익률이 상승하지만, 이후로는 감소하므로, 반전거래전략을

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The Effects of R&D Expenses and patents on the Firm value (특허권과 연구개발비 지출이 기업가치에 미치는 영향)

  • Oh, Sang-Hui
    • Management & Information Systems Review
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    • v.36 no.3
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    • pp.239-254
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    • 2017
  • This study examines the relationship between R&D spending and patent rights, which are suggested by firms as a way to increase their firm value. Specifically, we examine the relationship between research and development costs and patent rights, and see if there are any differences in the influence of two variables on firm value. The period of this study is from 2005 to 2016, and the sample of companies used in the research including the patenting companies is composed of 333 companies in total. The results of the study are as follows. First, the cost of R&D expenditure and capitalized R&D expenditure showed a significant positive correlation with patents. Second, R&D spending did not show a significant relationship with firm value, but patent rights showed a significant positive correlation with firm value. However, firms that spend a large amount of R&D expenditure (RDD), such as research and development expenses, showed a significant positive (+) value and a patent dummy (PATD). Third, in the analysis of the difference between the dummy of research and development and the patent dummy, the enterprise value of a company that invested a lot of patents and research and development expenses was high. The contribution of this study is to examine the relevance of corporate value to R&D investment for patents. On the other hand, there are various variables that can be used as a sample of patents.

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Analyzing the Influence Factors on Efficiency of Public Libraries in Metropolitan Cities by DEA and Tobit Model (DEA와 Tobit 모형을 이용한 대도시 공공도서관의 효율성 영향요인 분석)

  • Lee, Sang-Su;Han, Ha-Neul
    • Journal of Information Management
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    • v.41 no.2
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    • pp.111-131
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    • 2010
  • This paper examines the levels and influence factors on efficiency of public libraries in metropolitan cities. For this purpose, In the first stage, the efficiency score analysis of 129 sample public libraries has been undertaken. In the second stage, the efficiency scores obtained from the first stage are regressed on environmental factors. The result of this study shows that : (1) main source of technical inefficiency is pure technical inefficiency rather than scale inefficiency; (2) it is positive effect environmental factors on the efficiency that the population, the dummy variable of capital area.

Survival Factors and Survival Rates of Foreign-invested Companies (외국인투자기업 생존율 및 영향요인)

  • Seong, Kil-Yong
    • The Journal of the Korea Contents Association
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    • v.19 no.5
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    • pp.287-295
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    • 2019
  • This study was conducted to analyze firm survival rate and impact factors of survival of Foreign-invested Companies in Korea which is between 2006 and 2017. An empirical analysis of the survival factors of firms used explanatory variables such as characteristics of the and 3 firm dummy and 2 firm factors, financial variables of 3 profitability and 3 stability factors. The Kaplan-Meier method was chosen to perform analyses on the survival rates, Cox Proportional Hazard Model took to conduct on the impact factors. As a result of the impact factors of Foreign-invested Companies survival, Ownership (OS), Labour (NE ) of characteristics of the firm had positive effects. The Gross Sales Profit (GSP), Net Profit (NP ) and Operating Profit (OP ) of the financial characteristics had a positive effect. Additional Asset (LA ) had positive effects and Capital (LC), Debt (LB ) had a negative effect. Other factors did not produce significant results.

Cost Prediction Model using Qualitative Variables focused on Planning Phase for Public Multi-Housing Projects (정성변수를 고려한 공공아파트 기획단계 공사비 예측모델)

  • Ji, Soung-Min;Hyun, Chang-Taek;Moon, Hyun-Seok
    • Korean Journal of Construction Engineering and Management
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    • v.13 no.2
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    • pp.91-101
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    • 2012
  • In planning phase of Public Multi-Housing Projects, it is required to develop the methodology and criteria for fair cost prediction with influencing power from planning phase to occupancy phase. Many studies still have focused on the prediction of cost by multiple regression. However, there is no logical explanation about the influence of nonmetric variables for the prediction of cost in planning phase. Accordingly, this research pursues a cost prediction model including nonmetric variables for use in planning phase. There are 3 steps of this research : 1) Finding the factors influencing construction cost and assigning variables for a multiple regression. 2) Conducting a dummy regression analysis with nonmetric variables and model validation by comparing actual cost data. 3) Developing the ratio of RC structure cost to wall structure cost by using cost predection model. The results could establish cost prediction process including the influence of nonmetric variables and the ratio of RC structure cost to wall structure cost.

The Effect of Good Death Awareness and Attitude Toward Care Of Dying on Empathy Capacity among Nursing Students (간호대학생의 좋은 죽음 인식과 임종간호태도가 공감역량에 미치는 영향)

  • Seo-U Mo;Ga-Young Bang;Il-hun Yoon;Weon-Hee Moon
    • Journal of Advanced Technology Convergence
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    • v.3 no.1
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    • pp.1-11
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    • 2024
  • This study was a descriptive research study conducted to determine how nursing students' good death awareness and nursing attitudes toward dying patients affect their empathy. The subjects of the study were 155 nursing students, and data were collected using an online survey method. Data analysis was performed using descriptive statistics, independent t-test, one-way ANOVA, and multiple regression using the IBM SPSS Statistics 26. Higher attitude toward care of dying (B=.312) had a statistically significant positive effect on empathy capacity (p<.010). The variables that affected nursing students' empathy capacity were end-of-life experiences of relatives (𝛽=.226) and attitude toward care of dying (𝛽=.220). The regression model was statistically significant (F=6.968, p<.001), explained 10.4% of empathy. This study is expected to be used as basic data for the development of programs to strengthen the empathy capacity of nursing students in the future.

Empirical Analysis on the Effects of FTAs and FTA Spillover on the Bilateral Trade using GMM, Fixed and Random Panel Model, and PPML Estimation (GMM, 패널, PPML 비교분석을 통한 FTA와 FTA파급효과 분석)

  • Lee, Soon-Cheul
    • International Area Studies Review
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    • v.22 no.2
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    • pp.3-18
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    • 2018
  • This paper analyzes both the FTA effects and FTA spillover effects on bilateral trade using 62 countries' panel data during the period of 2003 ~ 2013. To this end, we construct a FTA dummy variable for the effect of FTA in the model and the weighted FTA matrix interacted with export and import for the spillover effect of FTA. Gravity model is applied to the empirical analysis with GMM, fixed and random effects, and PPML estimation. As a result of the analysis, FTA variables have positive relationships with bilateral export and import. The weighted FTA matrix interacted with export and import also have positive signs on the bilateral export and import in all estimations. Thus, we conclude that various FTAs of neighbor or 3rd countries increase the bilateral export and import. We provide some implications that a country to increase the amount of trade has a trade relationship with the countries having various FTAs and for the FTA effect analysis, the three-country model is better than to the two-country model.

The Changes and Determinants of Cash Holdings of Korean Manufacturing Firms (한국제조기업의 현금보유의 변화와 결정요인에 관한 연구)

  • Shin, Dong-Ryung
    • The Korean Journal of Financial Management
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    • v.25 no.3
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    • pp.1-32
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    • 2008
  • This study examines the changes and determinants of cash to assets ratios(cash ratios) by analyzing 14,016 Korean manufacturing firms sample for the period of $1999{\sim}2004$. The major findings can be summarized as follows. First, the average cash ratios for Korean manufacturing firms have increased from 4.7 percent of 1999 to 5.2 percent of 2004. In addition, the average cash holdings per firm also have increased from 4.3 billion Won to 8.0 billion Won during the same period. However, the capital expenditures relative to cash ratios or operating cash flow have decreased significantly, confirming the notion that physical investment of Korean manufacturing sector has been shrinking recently. Second, in regression tests with panel data, the coefficients of target adjustment variables show the expected negative signs, but coefficients of the deficit of fund variables show the unexpected positive signs. Thus, the evidence seems to be supportive of static tradeoff model of cash holdings. Third, in regression tests to find the determinants of cash ratios, most of the variables show similar results as the previous studies. However, in terms of adjusted coefficient of determination and F-statistic, the firm-characteristic variables suggested by static trade-off theory have more explanatory power than the variables suggested by pecking order theory.

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Development of Fire Engine Travel Time Estimation Model for Securing Golden Time (골든타임 확보를 위한 소방차 통행시간 예측모형 개발)

  • Jang, Ki-hun;Cho, Seong-Beom;Cho, Yong-Sung;Son, Seung-neo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.6
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    • pp.1-13
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    • 2020
  • In the event of fire, it is necessary to put out the fire within a golden time to minimize personal and property damages. To this end, it is necessary for fire engines to arrive at the site quickly. This study established a fire engine travel time estimation model to secure the golden time by identifying road and environmental factors that influence fire engine travel time in the case of fire by examining data on fire occurrence with GIS DB. The study model for the estimation of fire engine travel time (model 1) covers variables by applying correlation analysis and regression analysis with dummy variables and predicts travel time for different types of places where fire may occur (models 2, 3, 4). Analysis results showed that 17 siginificant independent variables are derived in model 1 and the fire engine travel time differs depending on the types of places where fire occurs. Key variables(travel distance, number of lane, type of road) that are included commonly in the 4 models were identified. Variables identified in this study can be utilized as indicators for research related to travel time of emergency vehicles and contribute to securing the golden time for emergency vehicles.

Statistical Interaction for Major Gene Combinations (우수 유전자 조합 선별을 위한 통계적 상호작용 방법비교)

  • Lee, Jea-Young;Lee, Yong-Won;Choi, Young-Jin
    • The Korean Journal of Applied Statistics
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    • v.23 no.4
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    • pp.693-703
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    • 2010
  • Diseases of human or economical traits of cattles are occured by interaction of genes. We introduce expanded multifactor dimensionality reduction(E-MDR), dummy multifactor dimensionality reduction(D-MDR) and SNPHarvester which are developed to find interaction of genes. We will select interaction of outstanding gene combinations and select final best genotype groups.