• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.69-76
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• 2020

The study examines lagged economic effects of research and development (R&D) investment on the market value of manufacturing firms listed on the Shanghai Stock Exchange or the Shenzhen Stock Exchange in China. This study applies panel data analysis methods to address the following issues: 1) There might be an adjustment lag in the impact of R&D investment on corporate market value, and 2) Unobserved firm effects must be taken into account. The balanced panel data includes a total of 1,462 observations with 34 cross-sections of manufacturing firms listed on Chinese stock markets and with 27 time-specific quarterly periods from 2007 to 2017. The results indicate that the R&D investment of Chinese manufacturing firms tends to yield favorable market value of the firm with some adjustments to time. The results show that R&D investment exhibits a strong positive impact on their market value of manufacturing firms in Chinese stock markets. Moreover, R&D investment has a positive time-lag effect on the market value of the firm. Interestingly, the R&D investment of Chinese manufacturing firms generate a relatively constant positive effect on their market value, supporting the notion that the corresponding returns of R&D investment for such firms yield lagged but added market values.

• The Journal of Asian Finance, Economics and Business
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• 제9권10호
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• pp.137-145
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• 2022

This study aims to test the information content of sustainability reports issued by the most significant telecommunications companies operating in the Kingdom of Saudi Arabia (Stc, Zain, and Mobily), and their compatibility with the national sustainability standards issued by the Ministry of Commerce in the Kingdom of Saudi Arabia in light of the Kingdom's vision 2030, and its impact on the stock exchange indices of these companies. The event study methodology was used to study the impact of publishing sustainability reports on stock prices and the trading volume of these companies' shares in the Saudi stock market during the period from (October 2020 to March 2021). The results indicate a significant impact of the information contained in the sustainability reports on stock prices and trading volume in the stock market, and the importance of directing the company's management towards more disclosure of information about sustainability in its environmental, social, and economic aspects instead of focusing only on information related to the financial performance and economic activity of the company. This encourages the listed companies to disclose the sustainability of the financial reports and standardize the form in which these disclosures are prepared.

• The Journal of Asian Finance, Economics and Business
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• 제8권7호
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• pp.375-381
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• 2021

Underpricing signifies that IPO share prices do not reflect the fundamental value of the listed company. Corporate governance plays an essential role in IPOs where the board of directors, the independent board of directors, and the board of supervisors are significant elements of accurate share pricing. The study investigates the underpricing phenomena and short-term performance of the IPO companies during the listing process in the Ho Chi Minh Stock Exchange (HOSE). The work outcomes illustrate the role of the corporate organizational structure in the period of the IPO process that may attract potential investors. The hypothesis testing is conducted with a multiple regression model including 100 observations from enterprises doing IPO listed on HOSE. The study results generate signals for the investors and regulators that the board of directors holds a strong negative influence on the underpricing process. Secondly, the level of the independent board of directors and stock exchange in itself has no significant impact on the underpricing process. Underpricing is one of the many anomalies of the stock exchanges that provide wrong signals for the market participants. Identifying stock prices that reflect their intrinsic value is an ongoing debate among scholars, investors, and other market participants.

• Fisheries and Aquatic Sciences
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• 제24권4호
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• pp.139-152
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• 2021

The main purpose of this study is to fit catch-per-unit-effort (CPUE) data about Korea chub mackerel (Scomber japonicus) stock with a state-space production (SSP) model, and to provide stock assessment results. We chose a surplus production model for the chub mackerel data, namely annual yield and CPUE. Then we employed a state-space layer for a production model to consider two sources of variability arising from unmodelled factors (process error) and noise in the data (observation error). We implemented the model via script software ADMB-RE because it reduces the computational cost of high-dimensional integration and provides Markov Chain Monte Carlo sampling, which is required for Bayesian approaches. To stabilize the numerical optimization, we considered prior distributions for model parameters. Applying the SSP model to data collected from commercial fisheries from 1999 to 2017, we estimated model parameters and management references, as well as uncertainties for the estimates. We also applied various production models and showed parameter estimates and goodness of fit statistics to compare the model performance. This study presents two significant findings. First, we concluded that the stock has been overexploited in terms of harvest rate from 1999 to 2017. Second, we suggest a SSP model for the smallest goodness of fit statistics among several production models, especially for fitting CPUE data with fluctuations.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.1073-1081
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• 2021

When firms have higher environmental performance, they can provide sustainable business that allows firms to build the value of credibility and ethics, higher reputation, higher productivity, and lower costs. The advantages of environmental responsibilities help firms to maintain their earnings level over a long-term period. This research aims to examine the effect of environmental performance on earnings persistence. Research samples include 413 manufacturing firms-years listed in the Indonesian Stock Exchange and the PROPER evaluation in 2013-2019. Environmental performance is measured by PROPER evaluation rating. The result shows that environmental performance has a positive effect on earnings persistence. The advantage of environmental responsibilities allows firms to enjoy performance sustainability and persistence in a long-term period, not only periodically. Also, the positive effect of environmental performance on earnings persistence occurs more in the environmentally sensitive industry than non-sensitive ones. Since an environmentally-sensitive industry brings more environmental damage, higher environmental performance is more valuable to provide sustainability. This research has limitations to use all the Indonesian Stock Exchange-listed firms since not all firms participate in the PROPER evaluation. This research implies firms' management should maintain earnings persistence and sustainability by implementing higher-quality environmental responsibility, especially for firms in an environmentally-sensitive industry.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.727-736
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• 2020

The purpose of this paper is to examine the relationship power distribution among several blockholders (contestability) and firm performance. We use a sample of 646 firms listed in the security markets of Korea from 2005 to 2007. Using different measures of contestability, we verify advance research literature by examining that, when power dispersion among several blockholders (contestability) increases, firm performance is enhanced. The results show that, when the possibility of a controlling coalition being formed among several blocks increases, the corporate value decreases. We also find that this relationship is even more significant in KOSDAQ. However, the smaller the competition of voting rights among blockholders, the higher the corporate performance in KOSPI. The reason for this seems to be that the two markets are different in terms of ownership and governance. This suggests that the effects of contestability among blockholders on firm performance depend on the type of the stock market. The results of this study expand the existing governance literature by analyzing the relationship between contestability among blockholders and firm performance in emerging markets such as Korea. Our findings contribute to policymakers and investors who are interested in the relationship between contestability of control and firm performance in the Korea stock market.

• 대한안전경영과학회지
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• 제12권3호
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• pp.321-326
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• 2010

Government evaluate annually a performance of government's R&D(Research & Development) and decide a budget and progress. So, a performance target setting of R&D is very important at the planning, The basic performance target setting of railroad R&D is clear. However, a scientific and technological performance target setting of railroad R&D is very difficult and a reasonable level of it can not be judged. Therefore, this study will suggest a solution for a scientific and technological performance target setting of railroad R&D through regression analysis of successfully finished railroad R&D, after judging a reasonability of a scientific and technological performance through comparing railroad R&D with the other R&D.

• International Journal of Industrial Entomology and Biomaterials
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• 제18권2호
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• pp.69-75
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• 2009

Daba ecorace of Antheraea mylitta Drury (Lepidoptera: Saturniidae), the semi domesticated Indian tropical tasar silkworm being reared outdoor; the egg and silk yields are dependent of genotype environment interaction. The insufficient maintenance and multiplication of its P4 seed stock need a coherent as well as scientific strategy to safeguard breed potential, being commercially applied ecorace. The sort-out lines of P4 stock studied over five generations highlighting on commercial trait up gradation suits for a tropical crop season, revealed enhanced performance. The line with high pupal parents (T2) shown improved fecundity (12.9%) and the line with high shell parents (T3) recorded higher shell weight (40.0%) and silk ratio (24.1%). While, the line of high pupal female and high shell male (T4) reveal enhancement in fecundity (9.0%), egg hatching (14.1%), shell weight (50.0%), silk ratio (35.2%) and absolute silk yield (52.0%) indicating the need and role of varied basic seed stock lines. The approach could improve economically vital egg fecundity and cocoon shell weights besides balancing them in same line for commercial operation. The progressive show of lines (T1 to T4) along successive generations (G1 to G5), in spite of passing through seed crop (Jul-Aug) and commercial crop (Sep-Nov) seasons emphasize their compatibility. The study infers that the strategic plan of combining preferred parental phenotypes, methodical selection for desired commercial trait(s) through generations with best possible genotype environment interaction has enriched P4 stock with elevation in needy trait(s) besides assuring choice of suitable lines for seasons and regions and timely replenishment of basic seed of Daba ecorace.

• 한국융합학회논문지
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• 제11권8호
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• pp.165-171
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• 2020

텍스트 마이닝을 활용한 주가 방향 예측 연구에서는 대부분 뉴스, SNS 데이터를 사용하고 있다. 하지만 뉴스, SNS 데이터로부터 기업에 대한 솔직하고 생생한 정보는 얻기 어렵다는 약점이 존재한다. 본 논문에서는 실제 근무 경험이 있는 내부 직원의 기업 리뷰를 반영하여, 종업원 만족도를 활용한 주가의 방향성을 예측하는 문제를 다룬다. 머신러닝 모델별 성능평가를 통해 예측 정확도를 비교, 분석한 결과 종업원의 기업 리뷰 데이터를 추가로 이용한 주가 방향 예측 모델은 그렇지 않은 모델 대비 뛰어난 분류 성과를 보였다. 본 연구는 금융 공학에 자연어처리기술을 활용한 융합 연구로서 주가 예측 분야에서 종업원 만족도를 활용한 기존에 없던 새로운 방법론을 추구하였다. 실무적으로 주가 방향 예측 분야에 유용한 정보를 제공할 것으로 기대된다.

• 한국융합학회논문지
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• 제9권6호
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• pp.39-44
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• 2018

심층 신경회로망은 적합한 수학적 모델에 대한 어떠한 가정 없이 데이터로부터 유용한 정보를 추출해서 예측에 필요한 입출력 관계를 정의할 수 있기 때문에 최근 시계열 예측 분야에서 주목 받고 있다. 본 논문에서는 주가의 일별 종가를 예측하기 위한 심층 신경회로망 모델을 제안한다. 제안된 심층 신경회로망은 예측 정밀도를 높이기 위해 단일 층의 오토인코더와 4층의 신경회로망이 결합된 구조를 갖는다. 오토인코더 층은 주가 예측에 필요한 최적의 입력 특징을 추출하고 4층의 신경회로망은 추출된 특징을 사용해 주가 예측에 필요한 동특성을 반영하여 주가를 출력한다. 제안된 심층 신경회로망의 학습은 층별로 단계적으로 이뤄지며 최종 단계에서 전체 심층 신경회로망에 대해 한 번 더 학습이 실행된다. 본 논문에 제안된 방법으로 KOrea composite Stock Price Index (KOSPI) 일별 종가를 예측하는 심층 신경회로망을 구현하고 기존 방법과 예측 정확도를 비교, 평가한다.