• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.63-83
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• 2019

Investors prefer to look for trading points based on the graph shown in the chart rather than complex analysis, such as corporate intrinsic value analysis and technical auxiliary index analysis. However, the pattern analysis technique is difficult and computerized less than the needs of users. In recent years, there have been many cases of studying stock price patterns using various machine learning techniques including neural networks in the field of artificial intelligence(AI). In particular, the development of IT technology has made it easier to analyze a huge number of chart data to find patterns that can predict stock prices. Although short-term forecasting power of prices has increased in terms of performance so far, long-term forecasting power is limited and is used in short-term trading rather than long-term investment. Other studies have focused on mechanically and accurately identifying patterns that were not recognized by past technology, but it can be vulnerable in practical areas because it is a separate matter whether the patterns found are suitable for trading. When they find a meaningful pattern, they find a point that matches the pattern. They then measure their performance after n days, assuming that they have bought at that point in time. Since this approach is to calculate virtual revenues, there can be many disparities with reality. The existing research method tries to find a pattern with stock price prediction power, but this study proposes to define the patterns first and to trade when the pattern with high success probability appears. The M & W wave pattern published by Merrill(1980) is simple because we can distinguish it by five turning points. Despite the report that some patterns have price predictability, there were no performance reports used in the actual market. The simplicity of a pattern consisting of five turning points has the advantage of reducing the cost of increasing pattern recognition accuracy. In this study, 16 patterns of up conversion and 16 patterns of down conversion are reclassified into ten groups so that they can be easily implemented by the system. Only one pattern with high success rate per group is selected for trading. Patterns that had a high probability of success in the past are likely to succeed in the future. So we trade when such a pattern occurs. It is a real situation because it is measured assuming that both the buy and sell have been executed. We tested three ways to calculate the turning point. The first method, the minimum change rate zig-zag method, removes price movements below a certain percentage and calculates the vertex. In the second method, high-low line zig-zag, the high price that meets the n-day high price line is calculated at the peak price, and the low price that meets the n-day low price line is calculated at the valley price. In the third method, the swing wave method, the high price in the center higher than n high prices on the left and right is calculated as the peak price. If the central low price is lower than the n low price on the left and right, it is calculated as valley price. The swing wave method was superior to the other methods in the test results. It is interpreted that the transaction after checking the completion of the pattern is more effective than the transaction in the unfinished state of the pattern. Genetic algorithms(GA) were the most suitable solution, although it was virtually impossible to find patterns with high success rates because the number of cases was too large in this simulation. We also performed the simulation using the Walk-forward Analysis(WFA) method, which tests the test section and the application section separately. So we were able to respond appropriately to market changes. In this study, we optimize the stock portfolio because there is a risk of over-optimized if we implement the variable optimality for each individual stock. Therefore, we selected the number of constituent stocks as 20 to increase the effect of diversified investment while avoiding optimization. We tested the KOSPI market by dividing it into six categories. In the results, the portfolio of small cap stock was the most successful and the high vol stock portfolio was the second best. This shows that patterns need to have some price volatility in order for patterns to be shaped, but volatility is not the best.

• Journal of The Institute of Information and Telecommunication Facilities Engineering
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• v.2 no.4
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• pp.52-63
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• 2003

This study proposes a change from the currentexpected price integrated system, which is based on the standard of estimated unit manpower and material, to a new actual construction cost integrated system. In order to implement it, the standard method of measurement organization system as well as the communication area standard of estimated unit manpower and material should be changed Moreover, the work breakdown structure and itemized structure should be assorted.

• Culinary science and hospitality research
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• v.10 no.2
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• pp.16-29
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• 2004

Today, well-being appears as new trend-code all of society. Likewise foodservice industry is influenced by that trend and as a result general menu items tend to change into healthy menu items. Therefore, the purpose of this study is to examine the customers attitude toward healthy menu. One of major research finding is that consumers better interested to healthy menu than past and have potential needs to consume it. So need to extent healthy menu market and develop to consume of healthy menu, should get competitiveness on tastes and price of healthy menu and to segment of healthy menu consumer market.

• The Journal of Fisheries Business Administration
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• v.28 no.1
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• pp.27-49
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• 1997

The purpose of this paper is to widen the viewpoint of fisheries trade which has been discussed under the coventional comparative advantage theory based on price difference between exporting country and importing country. therefore the paper tries to find out \circled1 the characteristics of several factors which has enabled fisheries trade compared to manufactured goods trade. \circled2 the development pattern of such factors and the present influence of such factors on current fisheries trade. \circled3 the present characteristics of fisheries trade especially fisheries import under the context of the logic of international fisheries trade.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1990.04a
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• pp.91-99
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• 1990

The concept of DSS has been applied to profit organizations however, the purpose of this paper is to show how the DSS helps the school administrators to increase the productivity of their operation. DSS may change the structure and atmosphere of the school, but can't always make success in its implementation. Therefore top management should know the problems and its major limitations. Recently the price of micro computer has become cheaper and its capabilities has improved a lot. We'd better notice that decentralized control system will take place in school in the future.

• KDI Journal of Economic Policy
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• v.12 no.2
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• pp.81-94
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• 1990

Illegal transactions such as blackmarketing and smuggling allegedly result from too restrictive trade policies. A recent U.S. Senate hearing on the blackmarketing of American goods imported into Korea for the purpose of supporting United States troops and their dependents stationed in Korea concluded with the allegation that Korea's highly restrictive trade practices are responsible for the emergence of the black market. It has also suggested that the removal of such restrictive trade policies would eliminate black market activities. This study addresses the relationship between trade policy and blackmarketing by investigating whether trade liberalization results in the reduction of illegal transactions, and whether the eradication of blackmarketing indeed improves social welfare. When both legally imported goods and illegally exchanged items command the same price, trade liberalization, meaning a decrease in tariff rates or an increase in import quotas, will increase the quantity of legal imports at the expense of illegally transacted goods on the black market. But the price of legally imported goods usually differs from that of illegally sold ones. In this case, a change in the relative prices of these two groups of goods due to a change in trade policy will give rise to income, as well as substitution, effects. Initially, a decrease in the import price due to a decrease in import tax rates or an increase in the allotted quota will reduce illegal transactions, since the decrease in the import price will induce the substitution of legal imports for illegally exchanged, but otherwise, identical goods. On the other hand, the demand for the illegally transacted goods will rise, because of the income effect of the reduced import price. Thus, assuming the positive income effect overwhelms the negative substitution effect, the demand for illegal goods will increase, thwarting the reduction of blackmarketing through trade liberalization. Yet, stepping up the enforcement measures which are geared to preventing blackmarketing itself will drastically reduce the extent of illegal transactions, since it increases the cost of blackmarketing and hence the price of the illegally transacted goods. What this study suggests is that the emergence of the black market in Korea should be attributed more to the excessive supply of duty-free goods imported through U.S. commissaries and exchanges than to the excessive demand for foreign goods. On the other hand, blackmarketing, in most cases, improves economic welfare, since it constitutes an increase in the "actual" amount of imported goods. Suppressing blackmarketing through stepped-up enforcement methods is beneficial only when the substitution effect of the legally transacted goods resulting from the increase in the price of the illegal goods prevails, since the increase in the demand for legal imports must override the decrease in the demand for black market goods as well as the negative income effect.

• Korean Journal of Agricultural Science
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• v.41 no.4
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• pp.481-485
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• 2014

According to statistical data the past ten years, cultivation area and yield of radish are steadily decreasing. This phenomenon cause instability of radish's supply due to meteorological chage, even if radish's yield per unit area is increasing by cultivation technological development. These problems raise radish's price. So, we conducted study on meteorological factors for accuracy improvement of radish yield estimation. Panel analysis was used with two-way effect model considering group effect and time effect. As the result, we show that mixed effects model (fixed effect: group, random effects: time) was statistical significance. According to the model, a rise of one degree in the average air temperature on August will decrease radish's yield per unit area by $428kg{\cdot}10a^{-1}$ and that in the average air temperature on October will increase radish's yield per unit area by $438kg{\cdot}10a^{-1}$. The reason is that radish's growth will be easily influenced by meteorological condition of a high temperature on August and by meteorological condition of a low temperature on Octoboer.

• Health Policy and Management
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• v.11 no.3
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• pp.71-88
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• 2001

The purpose of this study is to analyze the cost-effectiveness of four medications for treating and preventing osteoporosis -HRT therapy(conjugated equine estrogen 0.625mg for 25 days and medroxyprogesterone acetate 5mg for 01112 days), Alendronate(10mg and 5mg), Active Vitamin D(Calcitriol), and Calcium. Total costs include the direct medical cost -examination fee, consultation fee, prescription fee, fee for preparing medications, and the price of pharmaceuticals- and the indirect cost of patients such as traffic expenses and time cost. In addition, the costs of monitoring in adverse reactions are added. The effects of four medications are expressed as BMD(Bone Mineral Density) percent change measured by DEXA(Dual Energy X-ray Absorptiometry) in lumbar spine(L2-L4) and femoral neck site. A mixed model based on meta analysis provides the estimates of effectiveness, which are then appled to the hypothetical cohort consisting of postmenopausal women at the age of 50-59. HRT therapy is the most cost-effective medication at 172,433.64 won (lumbar spine site) and 546,328.28 won (femoral neck site) per BMD percent change for osteoporosis. Alendronate 10mg is more cost-effective than Alendronate 5mg as 345,971.23 won and 378,441.63 won per lumbar BMD percent change at 0.991ｇ/$cm^2$, respectively. Alendronate 10mg is more cost-effective than Alendronate 5mg as 1,329,257.89 won and 1,467,291.23 won per femoral neck BMD percent change at 0.834ｇ/$cm^2$, respectively.

• Journal of the Korean housing association
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• v.20 no.3
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• pp.97-104
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• 2009

Today, apartment is the most common residence type and various behavior occurs in living room space of apartments. Active usage of living room in modem life increases user's desire of wanting a better environment and leads to find various methods such as remodeling. At the point when considering moving or remodeling, this study focuses on the change of lighting color as it is one of the methods for initial stage with moderate price. As living room is easily influenced by lighting, providing active environment to support inhabitant's behavior through the use of various lighting sources will cut down unnecessary remodeling costs and may be the most simple method to actualize lighting environment for inhabitant's behavior. To give change with the least effort, change in artificial lighting environment was attempted with combinations of lighting color and switching on lights according to illuminating location. This study suggested the capability of changing lighting environment of previous living room area by exchanging lighting sources in lighting equipment in order to satisfy the required behaviors of inhabitant.

• Journal of Distribution Science
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• v.10 no.3
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• pp.43-50
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• 2012

This study sets out to examine how a brand image that matches the advertising model has a positive impact on brand attitude and price fairness perceptions. We reviewed the constructs on the basis of previous studies and each of the concepts has been redefined. One such concept, "image congruence," refers to the harmony, fitness, and matching quality of images. For example, how well celebrity advertising model is matches the brand image shows image congruence. Results are summarized as follows: First, the congruence of brand image and sports advertising model has no significant impact on brand attitude certainty and persistence. Second, the individual's brand attitude certainty and brand attitude persistence has a positive impact on the perceptions of price fairness. Third, the congruence of brand image and sports advertising model has a positive impact on the perceptions of price fairness. The first and the third results suggest that the positive impact on the price fairness perceptions is temporary but it has insignificant effects on the formation of brand attitude causing ongoing purchases. In other words, in order to influence consumers' long-term confidence on the brand, improving the quality of products or services has to precede promotional strategies such as advertising. When an advertising model is inappropriate for the brand image, consumers perceive product price changes as a negative issue in the short term. However, in the long term, attitude formation such as consumers' repurchase intentions and word of mouth will be not affected. The second result suggests that an already existing positive brand attitude can contribute more positively to change the perceptions of price fairness. In particular, attitude persistence has greater influence than attitude certainty on the price fairness. It suggests that persistence issues such as the trading period and the frequency of transactions must be managed and controlled because they are more important than the certainty issues such as strength of belief or trust. For example, when a commercial model for expensive sporting goods matches up with the brand image, consumer feels less pressure on the price changes. However, it does not determine the consumer's repeated purchases or sustainable transactions and it also has no absolute impact on the brand trust. In other words, consumer brand attitude should be recognized and approached as a routine strategy in view of the result that it is of great value as a causal variable in the process of consumer decision-making.