• Asia pacific journal of information systems
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• v.30 no.1
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• pp.31-52
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• 2020

Stock markets are popular investment avenues to people who plan to receive premium returns compared to other financial instruments, but they are highly volatile and risky due to the complex financial dynamics and poor understanding of the market forces involved in the price determination. A system that can forecast, predict the stock prices and automatically create a portfolio of top performing stocks is of great value to individual investors who do not have sufficient knowledge to understand the complex dynamics involved in evaluating and predicting stock prices. In this paper the authors propose a Stock prediction, Portfolio Generation and Selection model based on Machine learning algorithms, Artificial neural networks (ANNs) are used for stock price prediction, Mathematical and Statistical techniques are used for Portfolio generation and Un-Supervised Machine learning based on K-Means Clustering algorithms are used for Portfolio Evaluation and Selection which take in to account the Portfolio Return and Risk in to consideration. The model presented here is limited to predicting stock prices on a long term basis as the inputs to the model are based on fundamental attributes and intrinsic value of the stock. The results of this study are quite encouraging as the stock prediction models are able predict stock prices at least a financial quarter in advance with an accuracy of around 90 percent and the portfolio selection classifiers are giving returns in excess of average market returns.

• Korean journal of food and cookery science
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• v.17 no.6
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• pp.589-597
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• 2001

This study was conducted to develop a standardized Korean cold noodle stock recipe which can be used in food service establishments. The qualities of three kinds of stock made of beef rib only(B group), beef rib added with chicken(BC group), and beef rib added with chicken and vegetable(BCV group) were investigated by using sensory evaluation and instrumental analyses for free amino acids and nucleotides during heating (2, 3, 4, and 6 hr) at 90$\pm$ 5$\^{C}$ The highest amino acid contained in B, BCV, and BCV groups was arginine followed by alanine, glycine, and glutamic acid. B and BC groups was extracted to the best contents of amino acids by heating for 4 hours but BCV group for 3 hours. Nucleotides were extracted from B and BC group between 3 and 4 hours of heating but in BCV group between 2 and 3 hours. In sensory evaluation, BCV group obtained the highest score for overall preference. In the measurement of color difference, BCV group was the lowest in L value(lightness) but the highest in b value(yellowness).

• Journal of Digital Convergence
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• v.11 no.5
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• pp.145-158
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• 2013

I estimate stock prices of listed companies using financial information and Ohlson model, which is used for the evaluation of company value. Furthermore, I use the artificial neural network, one of artificial intelligence systems, which are not based on linear relationship between variables, to estimate stock prices of listed companies. By reapplying this in estimating stock prices of newly listed companies, I evaluate the appropriateness in stock valuation with such methods. The result of practical analysis of this study is as follows. On the top of that, the multiplier for the actual stock price is accounted by generating the estimated stock prices based on the artificial neural network model. As a result of the comparison of two multipliers, the estimated stock prices by the artificial neural network model does not show statistically difference with the actual stock prices. Given that, the estimated stock price with artificial neural network is close to the actual stock prices rather than the estimated stock prices with Ohlson model.

• Korean journal of food and cookery science
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• v.15 no.3
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• pp.210-215
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• 1999

The purpose of this study was to investigate the sensory and physicochemical properties of brown stock made with different main ingredients of bone (beef bone, pork bone, part of leg). Glycine, glutamic acid, arginine, valine were high in the free amino acid contents of brown stock made with beef and pork bones. On the other hand, the brown stock made with beef bone showed high contents of methionine, glycine, lysine, arginine. Viscosity of brown stock made with pork bone was the highest. As a result of the sensory evaluation for brown stock made with different ingredients of bone showed significant difference in all of the characteristics. By the color difference meter, the brown stock prepared from pork bone showed the lowest “L”value.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.636-647
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• 2004

The objective of this paper is to provide an improved reorder decision policy for general multi-echelon distribution systems utilizing the shared stock information. It has been known that traditional reorder policies sometimes show poor performance in distribution systems. Thus, in our previous research we introduced the order risk policy which utilizes the shared stock information more accurately for the 2-echelon distribution system and proved the optimality. However, since the real world supply chain is generally composed with more than 2 echelons, we extend the order risk policy for the general multi-echelon systems. Since the calculation of the exact order risk value for general multi-echelon systems is very complex, we provide two approximation methods for the real-time calculation. Through the computational experiment comparing the order risk policy with the existing policies under various conditions, we show the performance of the order risk policy and analyze the value of the shared stock information varying with the characteristics of the supply chain.

• Knowledge Management Research
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• v.12 no.3
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• pp.59-71
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• 2011

This study intends to examine the effect of research and development (R&D) expenditure effects on firm value through patent and earing persistence. The patent is the representative intangible asset which objectively indicates a typical product of research and development activities to external parties. If a firm has acquired the patent, it receives amicable evaluation from the market compared to the firm which has not acquired patent. Empirical analysis is performed for non-banking firms (1,860 firm-years) listed on Korean Stock Exchange with December fiscal year-end over 2004-2009. Research results are as follows. First, the multiple pricing of patent acquiring firm and earing persistence increased group showed that they have higher prices than the other groups. Second, the multiple pricing of R&D expenditures of earing persistence increased group showed that they have higher prices than the other group. Third, the R&D expenditures of earing persistence increased group is receiving more friendly evaluation from the stock market than the other group.

• Korean Management Science Review
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• v.28 no.3
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• pp.61-72
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• 2011

This study suggests a DEA(Data Envelopment Analysis) based model to evaluate the value of corporate stock. The model integrating PER(Price-Earning Ratio), PBR(Price-BookValue Ratio), PSR(Price-Sales Ratio) and volatility in DEA structure has an advantage of overcome the limitation of traditional financial ratio based models. In order to show the effectiveness of the suggested model. we compare the performance of portfolio composed by DEA approach with those of portfolios made by traditional approaches such as PER, PBR, and PSR in terms of stock return and volatility. Specifically, we use the data of all the enterprises listed on the S&P 500 in the U.S. in 2007 and 2009 as the sample data for the experiments. The results of the experiments show that the performance of the DEA approach is clearly better than those of other approaches. Particularly, in sharply plummeting market, the performance of the DEA approach is shown to be prominently better than those of other approaches as the DEA approach reflects investment risk as well as profitability and growth. The DEA score combining the existing investment indices may serve as a useful barometer for selecting a stable and profitable portfolio.

• Journal of Information Technology Applications and Management
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• v.15 no.1
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• pp.203-224
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• 2008

The purpose of this study is to investigate the evaluation perspectives of IT business value and empirically analyze the differences of evaluation perspectives between ex ante evaluation and post implementation evaluation, and among various information system types. 4 evaluation perspectives which have been used in the previous studies and in the field of industry practices are financial, customer, internal process, and growth, which are based on the BSC model. Data of 98 information systems have been collected from 89 companies including manufacturers, banks, insurances, and stock trading companies. As results of multi-way MANOVA test, 3 out of 8 hypothesis have been accepted statistically. While the order of importance of 4 perspectives in ex ante evaluation is customer, financial, internal process, and growth, the order of post implementation evaluation appears to be much different : that is, internal process, customer, financial, and growth. These findings provide insights for both IT practitioners and researchers.

• Korean journal of food and cookery science
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• v.15 no.5
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• pp.483-489
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• 1999

In order to study effects of herbs on the changes of the taste compounds, color and sensory evaluation of soup stock. The crude protein, free amino acids and nucleotide contents in brisket soup stock were investigated by use of semimicro-kjeldahl method and HPLC. In addition, color measurement and sensory evaluation were investigated. Generally, The crude protein, free amino acids and nucleotides contents in various soup stocks increased by heating time. The crude protein contents in the Go, Ca and A soup stocks increased much more than control soup stock. The free amino acids were the highest content in the Go$\_$5/ soup stock specially, arginine, alanine, glycine, threonine and glutamic acid. The free amino acid contents were lower in C$\_$5/ and O$\_$5/ soup stock than B$\_$5/ soup stock. 5'-IMP, inosine and hypoxanthine concentration in Go$\_$5/(33.4 mg%) soup stock showed highest value. But those in the C$\_$5/(5.8 mg%) and O/sun 5/(5.7 mg%) soup stocks were lower than that in the B$\_$5/ soup stock. From a sensory evaluation, the all of sensory score of samples was not significantly difference.

• International journal of advanced smart convergence
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• v.12 no.2
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• pp.193-200
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• 2023

This paper selects 100 IT companies listed on the Shenzhen Stock Exchange from 2016 to 2020, and the public announcement in Hwajung collects ESG integrated ratings and grades for each sector and empirically verifies the relationship between ESG ratings and stock returns. Huazheng ESG level data and QIANZHAN database Using corporate financial data, a total of 500 samples were selected through correlation analysis and linear regression analysis with SPSS23 to analyze the effect of ESG on Return. As a result of the analysis, first, the impact on stock returns was found to be a significant positive (+) value for ESG integrated ratings and ratings by E (environment), S (social), and G (governance) sectors, confirming that ESG ratings have a positive mold of corporate stock returns. Currently, the world's major economies have proposed sustainable development strategies and "carbon neutral" goals. Development strategies are very consistent with ESG concepts, and companies that agree and execute ESG concepts may have higher ratings than other companies in the same industry, resulting in certain evaluation premiums. In addition, capital market performance in recent years shows that companies with ESG concepts or "carbon neutrality" concepts are generally considered to have higher growth potential and stronger anti-risk capabilities in the market. For listed companies, they should focus on ESG investment, improve ESG performance, and actively disclose related information to investors. Improving ESG performance should deliver positive information to society, enhance corporate image, increase market confidence in the future development of listed companies, and positively improve corporate value to actively increase financial, financial, trading, and other aspects of negotiation.