• 인터넷정보학회논문지
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• 제15권6호
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• pp.15-26
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• 2014

본 연구는 실물옵션모형을 이용하여 기업의 빅데이터 기술도입에 따른 경제적 가치를 분석한 연구로, 빅데이터 기술도입을 결정한 기업의 주가를 이용하여 주가증분으로 평가한 경제적 가치의 크기를 옵션가치를 통해 분석하였다. 옵션가치 도출을 위해 빅데이터 기술을 마케팅에 활용한 기업의 주가를 통해 빅데이터 기술에 의한 주가증분을 추출하고, 해당 주가로 일반화적률법(GMM)을 이용하여 확률과정을 추정하였다. 옵션가치 도출을 위해 블랙-숄즈 편미분방정식을 도출하였고, 이를 수치해석적 방법인 유한차분법으로 해를 구하여 빅데이터 기술 도입에 따른 경제적 가치를 추정하였다. 분석결과, 빅데이터 투자비용을 5천만 원으로 가정했을 때, 주가증분을 통해 도출한 옵션가치는 약 38.5억 원으로 나타났고 시간가치는 약 1백만에 해당하는 것으로 나타났다. 따라서 빅데이터 기술도입은 실질적인 기업의 수익을 창출하는 효과에 더하여, 미미하지만 투자시점에 고려할 수 있는 추가적 시간가치까지 존재하는 것으로 해석된다. 민감도분석 결과 기초자산 크기가 작아질수록 옵션가치는 낮아지고, 투자비용이 낮아질수록 옵션가치는 높아지는 것으로 분석되었고, 변동성 변화에 따른 옵션가치 민감도는 크지 않은 것으로 나타났는데 이는 빅데이터 기술의 경우 기술도입 기간과 이에 따른 주가변동 폭이 낮아 변동성 증가에 따른 내재가치 증가 효과가 크지 않기 때문인 것으로 해석된다. 본 연구는 빅데이터 기술도입에 따른 효과를 실물옵션을 도입하여 분석한 최초의 연구로 빅데이터 옵션가치 도출에 빅데이터 기술을 도입한 기업의 주가를 기초자산으로 사용한 최초의 연구라는 점에서 기존연구와 차별화된다. 기업들의 빅데이터 기술 도입이 비교적 최근에 발생하였음을 고려할 때 동 분석방법론을 다양한 기업에 적용함으로 빅데이터 기술의 정체한 가치를 도출하는데 기여할 수 있을 것으로 기대된다.

• 경영과정보연구
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• 제25권
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• pp.203-222
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• 2008

This thesis examines whether accounting information-earnings and book values-has the value relevance in the KOSDAQ. The study is motivated by previous studies which have examined the value relevance of accounting information. Prior researches have focused on KSE(Korea Stock Exchange). But, prior researches have not examined the value relevance of accounting information in KOSDAQ. So, this study examined the value relevance of accounting information which is disclosed by firms on KOSDAQ and whether accounting information between firms on KOSDAQ and KSE has the discriminative value relevance, underlying the expectation that KOSDAQ firms will have higher future profitability than KSE firms. In other words, book-value multiples of KOSDAQ firms is higher than book-value multiples of KSE firms and earnings multiples of KOSDAQ firms is lower than earnings multiples of KSE firms. The value relevance of accounting information is examined by a valuation framework presented by Ohlson(1995), which expresses the stock-price as a function of both earnings and book values of equity. The results indicate that accounting information of KOSDAQ has significant explanatory power for stock price over the 2005-2007 period. KOSDAQ firm are divided by Venture firms and Small to Mid size firms. KOSDAQ Venture firms have the discriminative value relevance, compared with KSE firms. But, KOSDAQ Small to Mid size firms have not the discriminative value relevance, compared with KSE firms.

• 수산해양기술연구
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• 제52권3호
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• pp.220-231
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• 2016

Yield-per-recruit (YPR) analysis is used to provide management guidance for the efficient use of a fish cohort. However, the individual fish price per unit weight of small yellow croaker (Larimichthys polyactis) or hairtail (Trichiurus lepturus) increases dramatically by size in Korea. Therefore, age-based production value-per-recruit (PPR) analysis has recently been developed (Zhang et al., 2014). Since age determination requires a substantial amount of money and time and it is even impossible for some fish species, it is difficult to obtain age information to apply the age-based PPR model. Thus, we attempted to develop an alternative method, which uses length data rather than age information, called the length-based PPR analysis. The results revealed that length-based PPR analysis was much more conservative for stock management than the YPR analysis. Furthermore, the PPR analysis was more economically beneficial than the YPR analysis, which can prevent the fish stock from the economic overfishing. In conclusion, the length-based PPR analysis could be a proper approach for stock assessment in the case that the individual fish price per unit weight increases dramatically by size, and this analysis is useful to obtain vital management parameters under data-deficient situation when traditional stock assessment methods are not applicable.

• 벤처혁신연구
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• 제3권2호
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• pp.95-109
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• 2020

현대에서의 부가가치 창출의 원천은 물자(Material)에서 사람(Man)의 부가가치 창출력으로 변천되어 왔으며, 생산수단의 소유가 특정의 지주, 자본가에서 부가가치 창출능력을 보유한 사람에게로 전환되었다. 기업의 노동자가 기업의 부가가치를 현저히 증대시켰을 경우에 단순한 이익에 참여하는 이익분배제나 성과인센티브제를 넘어서는 참여제도의 도입에 대한 검토가 필요하며, 자본 편중의 문제를 해소하고 자본주의의 안정적인 발전을 위한 수단으로서 우리사주제의 도입은 필요하다. 우리사주제는 노동자로 하여금 우리사주조합을 통하여 해당 우리사주조합이 설립된 주식회사의 주식을 취득·보유하게 함으로써 노동자의 경제·사회적 지위향상과 노사협력 증진을 도모함을 목적으로 하고 있으나, 현실은 우리사주제가 노동자에 대한 보호가 미흡하여 목적한 바를 달성하지 못하고 있다. 우리사주의 취득이 복지의 관점에서 노동자의 우리사주 보유에 대한 복지영역에 대한 부분은 자본시장의 논리보다는 사회복지적 차원에 대한 것으로 적극적인 정부의 지원이 포함되어야 하고, 투자의 관점에서는 우리사주는 노동자들이 주식시장에서 주식을 소유하는 적극적인 투자의지와 전문적인 노력을 경주하는 것이 아니며, 따라서 노동자 우리사주를 취득하는 것을 '투자'로 보아서 투자자보호를 위한 규정을 적용하는 것은 타당하지 않다고 볼 것이다. 따라서 우리사주 취득시의 지원 및 규제완화방안으로 1. 세제지원과 같은 간접지원 방식에서 탈피하여 직접지원의 확대, 2. 우리나라의 우리사주조합이 사단의 성격으로 의제되고 있어, '투자'라는 측면에서 조합방식이 아닌 다양한 관리라는 측면에서 그 효과성이 낮은 실정으로 투자기구의 형태 다양성 추진과, 3. 회사 발행주식의 1%와 액면가 3억원 중 적은 금액이상의 주식을 보유한 사람은 대주주로 분류하여 우리사주의 조합원이 될 수 없도록 하고 있는 조합원 자격의 완화, 우리사주와 조합기금의 관리상의 위험 축소방안으로 장기간에 걸친 예탁에서 우리사주조합만이 기금을 관리하고, 우리사주 예탁기간 종료 후 우리사주를 조합 또는 회사가 관리하고 있으나 각 노동자별로 분할관리를 할 수 있도록 하여야 한다. 우리사주와 기금의 활용도 제고 측면에서 1. 우리사주는 예탁기간 중에는 대여를 하지 못하게 하고 있으나 엄격한 제한하에 대여를 허용함으로써 수익성을 향상시키고, 2. 사내복지기금의 활용용도를 우리사주의 손실보전에 사용할 수 있도록 하는 것과 활용도 제고와 우리사주의 환매제도 개선측면에서 비상장법인의 우리사주제의 활성화를 위하여 비상장회사의 환매의무를 규정하는 것 등의 개선방안 수립이 필요하다.

• Asia pacific journal of information systems
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• 제9권3호
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• pp.93-110
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• 1999

The previous studies regarding the stock returns have advocated that industry effects exist over entire industry. As the industry categories are more rigid, the demand for predicting the industry sectors is rapidly increasing. The advances in Artificial Intelligence and Neural Networks suggest the feasibility of a valuable computational model for stock returns prediction. We propose a sector-factor model for predicting the return on industry stock index using neural networks. As a substitute for the traditional models, neural network model may be more accurate and effective alternative when the dynamics between the underlying industry features are not well known or when the industry specific asset pricing equation cannot be solved analytically. To assess the potential value of neural network model, we simulate the resulting network and show that the proposed model can be used successfully for banks and general construction industry. For comparison, we estimate models using traditional statistical method of multiple regression. To illustrate the practical relevance of neural network model, we apply it to the predictions of two industry stock indexes from 1980 to 1995.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.707-715
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• 2021

This article examines the potential impact of the Covid-19 Lockdown on earnings manipulation and stock market sensitivity to earnings announcements. It also explores the effects of earnings manipulation after the COVID-19 outbreak on the share price sensitivity to the earnings disclosures. The study uses a quantitative method to analyze the financial data consisting of 87 firms listed on the Iraq Stock Exchange for the period from 2018 to 2020, which constitutes a total of (174 observations). We used Ohlson (1995) model to estimate financial market reaction and sensitivity to earnings manipulation fluctuations and accounting information. The results show that companies practice earnings manipulation to maintain earnings over a time series, which means a negative impact of earnings manipulation on all earnings measures' value relevance (EPS, BVS, and CFS). Accordingly, earnings manipulation negatively influences investor behavior in the financial market, based mainly on financial reporting. The value relevance of financial reports has also decreased because of the COVID-19 outbreak and related economic Lockdown. These results reflect a long-term adverse impact of earnings manipulation on investor behavior and financial statements reliability.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.857-861
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• 2021

The study aims to find the asymmetric effect in National Stock Exchange in which the Nifty50 is considered as proxy for NSE. A return can be stated as the change in value of a security over a certain time period. Volatility is the rate of change in security value. It is an arithmetical assessment of the dispersion of yields of security prices. Stock prices are extremely unpredictable and make the investment in equities risky. Predicting volatility and modeling are the most profuse areas to explore. The current study describes the association between two variables, namely, stock yields and volatility in equity market in India. The volatility is measured by employing asymmetric GARCH technique, i.e., the EGARCH (1,1) tool, which was used in building the study. The closing prices of Nifty on day-to-day basis were used for analysis from the period 2011 to 2020 with 2,478 observations in the study. The model arrests the lopsided volatility during the mentioned period. The outcome of asymmetric GARCH model revealed the subsistence of leverage effect in the index and confirms the impact of conditional variance as well. Furthermore, the EGARCH technique was evidenced to be apt in seizure of unsymmetrical volatility.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.813-821
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• 2021

The relationship between capital structure policy and firm value is interesting to study because the concept of capital structure was initiated by Modigliani and Miller who claimed that the company's capital structure is not a factor in its value. They asserted that linking leverage with firm value was irrelevant. Therefore, this study examined the role of growth opportunities as a moderating variable for the relationship between capital structure and firm value. The population of this study is 300 companies from the manufacturing sector that are listed on the Indonesia Stock Exchange (IDX) for the period 2015-2018. To analyze the data, the subgroup moderation method was employed by dividing the data into two parts: companies with high growth opportunities and companies with low growth opportunities. The results revealed that capital structure had a direct positive effect on firm value. Furthermore, the test results of the two regression models of growth opportunities as the moderating variable are very interesting. It was found that for companies with high growth opportunities, the use of debt had a negative effect on firm value, and conversely, the use of debt had a positive effect on firm value for companies with low growth opportunities. The statistical F-test results proved that growth opportunities are a moderating variable for the relationship between capital structure and firm value.

• The Journal of Asian Finance, Economics and Business
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• 제8권8호
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• pp.67-74
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• 2021

This study aims to examine and analyze the effect of Risk Profile, Good Corporate Governance (GCG), Earnings, Capital (RGEC), and Earnings per Share (EPS) on stock prices with financial distress as an intervening variable. The sampling technique used purposive sampling based on certain criteria and data used was secondary data, that is, annual reports of commercial banks in Indonesia for the period of 2012-2018 with a sample of 23 banks from a total population of 81 banks. This type of research is explanative with a quantitative descriptive approach to describe or explain quantitative data. The data obtained was analyzed using SEM (Structural Equation Model) with the AMOS Program. The results showed that RGEC, EPS, and financial distress affect stock prices. This is based on testing the direct effect as indicated by a p-value that is smaller than 0.05. Based on the mediation test, the results show that financial distress cannot mediate the effect of RGEC and EPS on stock prices as indicated by a p-value greater than 0.05. The implication of this research is very important for investors to analyze stock price changes based on RGEC, EPS, and financial distress to gain profits. In addition, there are various warning signs indicating that a company is experiencing financial distress or it is heading towards such a state. Being aware of these signs can help prevent failure.

• 한국조리학회지
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• 제23권4호
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• pp.163-174
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• 2017

This study aimed to make stock for purpose of reducing visual image, and the stock was used with two-spotted cricket as general food material of edible insects. According to the results, color value was darkest and brownest with increased boiling time, salinity and $^{\circ}Brix$ increased significantly (p<0.001). With increased boiling time, pH and moisture content was the lowest. In the total content of free amino acids was highest in 45 min with boiling time. The quantitative descriptive analysis of two-spotted cricket stock was evaluated, which was the strongest with increased boiling time, and acceptance test was best results in TCS45. Therefore, it was possible to produce stock with excellent sensuality which was used by high-pressure method for 45 in making a two-spotted cricket stock. It was judged that making insects food can reduce visual aversion as stock. So, the possibility of food ingredient was identified so that two-spotted cricket led to the increase of domestic interests.