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

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.17
• /
• pp.7437-7441
• /
• 2014

Background: Acceptability of self-sampling HPV testing is confirmed worldwide. However, some cultural differences may affect this question. Therefore, this study was conducted to evaluate the acceptability of self-sampling HPV testing in Thai women. Materials and Methods: One hundred women aged 30-65 years with an intact cervix were included in this study. The participants were asked to do the Pap test by physicians and then brush type self-sampling instruments were assigned for self-collection and finally completed a questionnaire for acceptability evaluation. The questionnaire contains 2 parts. Part one covered general information of the participants and part two is the acceptability questions. Results: Mean age was 40.6 years. The incidence of high risk HPV detection in this study was 16%. The most common reason for doing Pap smear was for annual checkup. On the topic of ease of use, 85 % of the subjects agreed. Most of the participants (82%) reported that they felt less pain. However, reliability of the result was not satisfactory because 37% of the participants hesitated to rely on the results of the test. According to the price, if the price is less than 1,000 Baht (32.59 Baht = 1USD), 82% of the subjects would use it for their next screening. Conclusions: The acceptability of self-sampling device in this study is quite good but the reliability of the test was questioned by some of the participants. Moreover, the price of the test in Thailand may also influence the acceptability of the test.

• Journal of Information Technology Services
• /
• v.19 no.2
• /
• pp.109-124
• /
• 2020

Facing the 4^th Industrial Revolution era, researches on artificial intelligence have become active and attempts have been made to apply machine learning in various fields. In the field of finance, Robo Advisor service, which analyze the market, make investment decisions and allocate assets instead of people, are rapidly expanding. The stock price prediction using the machine learning that has been carried out to date is mainly based on the prediction of the market index such as KOSPI, and utilizes technical data that is fundamental index or price derivative index using financial statement. However, most researches have proceeded without any explicit verification of the prediction rate of the learning data. In this study, we conducted an experiment to determine the degree of market prediction ability of basic indicators, technical indicators, and system risk indicators (AR) used in stock price prediction. First, we set the core parameters for each financial indicator and define the objective function reflecting the return and volatility. Then, an experiment was performed to extract the sample from the distribution of each parameter by the Markov chain Monte Carlo (MCMC) method and to find the optimum value to maximize the objective function. Since Robo Advisor is a commodity that trades financial instruments such as stocks and funds, it can not be utilized only by forecasting the market index. The sample for this experiment is data of 17 years of 1,500 stocks that have been listed in Korea for more than 5 years after listing. As a result of the experiment, it was possible to establish a meaningful trading strategy that exceeds the market return. This study can be utilized as a basis for the development of Robo Advisor products in that it includes a large proportion of listed stocks in Korea, rather than an experiment on a single index, and verifies market predictability of various financial indicators.

• Korean Journal of Construction Engineering and Management
• /
• v.7 no.5
• /
• pp.167-176
• /
• 2006

It was found that Korean Standard of Estimate which has been used as the only basis of cost estimate of public construction projects had some side effects such as jerry-build construction and over-estimation because it failed to reflect the current price and the state-of-the-art construction methods in a changing construction environment. Therefore, the government decided to gradually introduce historical construction cost into cost estimate of public construction projects from 2004. This paper presents analytic criteria and a process model for deducing more current and reasonable historical construction cost for contract items from not only previous contract prices but also all of the other bid prices that were not contracted. The procedure of estimating actual unit cost proposed in this paper focuses on the removal of abnormal values including strategically too low or high prices and the time correction. In addition, basic research is conducted for the correction of actual unit cost through the analysis of fluctuation of bid price depending on bidding types and rates of successful bid. It is anticipated that the effective use of the proposed process model for estimating actual unit cost would make the cost estimation more current and reasonable.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.47 no.5
• /
• pp.779-803
• /
• 2023

The growth of digital news media and the stock price index has resulted in economic fluctuations in the fashion industry. This study examines the impact of fashion industry news and macroeconomic changes on the Textile & Wearing Apparel KOSPI over the past five years. An auto-regressive integrated moving average exogenous time series model was conducted using the fashion industry stock market index, the news topic index, and macro-economic indicators. The results indicated the topics of "Cosmetic business expansion" and "Digital innovation" impacted the Textile & Wearing Apparel KOSPI after one week, and the topics of "Pop-up store," "Entry into the Chinese fashion market," and "Fashion week and trade show" affected it after two weeks. Moreover, the topics of "Cosmetic business expansion" and "Entry into the Chinese fashion market" were statistically significant in the macroeconomic environment. Regarding the effect relation of Textile & Wearing Apparel KOSPI, "Cosmetic business expansion," "Entry into the Chinese fashion market," and consumer price fluctuation showed negative effects, while the private consumption change rate, producer price fluctuation, and unemployment change rate had positive effects. This study analyzes the impact of media framing on fashion industry business cycles and provides practical insights into managing stock market risk for fashion companies.

• Science of Emotion and Sensibility
• /
• v.7 no.1
• /
• pp.29-40
• /
• 2004

Even though rhythm is considered theoretically and practically as a form element influencing consumer's aesthetic response on product design, researches on it relatively less performed than other product aesthetic elements. And also existing researches have only suggested rhythm as one of aesthetic elements in product design but they haven't suggested overall insight on how to apply rhythm into product design. This study tested how rhythm expression in product design affects consumer's aesthetic response according to price level and brand hierarchy. The result shows that rhythm is clearly one of aesthetic elements. And rhythm expression increase consumer's aesthetic response in low priced product condition regardless of brand hierarchy. But in high priced product condition, rhythm expression decreases consumer's aesthetic response because of perceived risk. Only when in high prestige brand condition, consumer's aesthetic response remains high because of trade-off relationship between perceived risk and brand equity. The result of this study enables designers to understand characteristics of rhythm. Also, the result can give companies the useful way on how to use rhythm element as a strategic tool if they consider their brand equity level and product's price level.

• Korea Real Estate Review
• /
• v.28 no.2
• /
• pp.7-20
• /
• 2018

This paper has statistically analyzed the determining factors that affect office building sale prices by focusing on strata property sales through the hedonic price function. In this study, 1,171 office building transaction cases were analyzed in Seoul from 2000 to 2017. To determine the influence of various factors on office building sale prices, independent variables included factors that represented macroeconomic characteristics, locational characteristics, physical characteristics, and deal characteristics. The analysis of the strata property sales, which is a major concern in this study, showed that strata property sales enjoyed a discount of about 1.56 million won per pyeong out of the entire sales. In terms of the discount rate, strata property sales were at a 12.6% discount compared to entire property sales, so it was found that strata property sales significantly influenced office building selling price. This is due to the fact that the owner of the strata property encounters more difficulties in distributing cost than the sole proprietor in terms of property rights and the exercise of management rights. The results of this study are expected to contribute in securing transparency in transactions and risk management strategies in the future.

• Journal of the Korean Society of Costume
• /
• v.66 no.8
• /
• pp.109-122
• /
• 2016

This study is to explore the ways to increase the export performance of start-up companies, as opportunities are rising along with more companies entering the global market. Thus the study analyzed the factors affecting export performance of the start-up company by mainly looking at the international marketing capabilities of enterprises type of marketing strategy and internal environmental capabilities. The following were derived as factors for marketing 4P strategy: innovation of product, flexibility of export price, differentiation of distribution channels, diversity of promotional activities, and positive-ness of promotion. For internal capabilities of enterprises, innovation of CEO, initiative of CEO, risk susceptibility of CEO, information power of export market, and information power of competitor were derived as factors. Two types of performances were considered for export performance, financial and non-financial. Among innovation of product and risk susceptibility of CEO the non-financial performance of export performance, and only differentiation of distribution channels of marketing 4p strategy the financial performance. It showed that since performance was different depending on the entrepreneurship of the CEO, only innovative products differentiated from small and medium enterprises. risk susceptibility of CEO increased export outlook by corporate acknowledgment and image, creation of potential customers, and financial performance affected only differentiation in distribution channel rather than entrepreneurial spirit, information power, or organizational flexibility because of short business career and insufficient period enough to gain trust. Therefore, start-up companies need to improve their non-financial export performance by increasing innovation of product and risk susceptibility of the CEO. The companies need to widen the differentiation of distribution channels in the financial export performance.

• Journal of the Korean Society for Nondestructive Testing
• /
• v.29 no.2
• /
• pp.162-170
• /
• 2009

As one of promising solutions to overcome high oil price and energy crisis, the construction market of high value-added LNG plants is spotlighted world widely. The purpose of this manuscript is to introduce domestic activities to develop risk assessment technology against overseas monopolization. After analyzing relevant specific features and their technical levels, risk assessment program, non-destructive reliability evaluation strategy and safety criteria unification class are derived as core technologies. These IT-based convergence technologies can be used for enhancement of LNG plant efficiency, in which the modular parts are related to a system with artificial optimized algorithms as well as diverse databases of facility inspection and diagnosis fields.

• The Journal of Art Theory & Practice
• /
• no.14
• /
• pp.217-245
• /
• 2012

The aim of this paper is to show how the paradigm of disaster resilience may help reorienting urban planning policies in order to mitigate various types of risks, thanks to carefully thought action on heritage and conservation practices. Resilience is defined as the "capacity of a social system to proactively adapt to and recover from disturbances that are perceived within the system to fall outside the range of normal and expected disturbances." It relies greatly on risk perception and the memory of catastrophes. States, regions, municipalities, have been giving territorial materiality to collective memory for centuries, but this trend has considerably increased in the second half of the 20th century. This is particularly true regarding the memory of disasters: for example, important traces of catastrophes such as urban ruins have been preserved, because they were supposed to maintain some awareness and hence foster urban resilience - Berlin's Gedachtniskirche is a well-known example of this policy. Yet, in spite of preserved traces of catastrophes and various warnings and heritage policies, there are countless examples of risk mismanagement and urban tragedies. Using resilience as a guiding concept might change the results of these failed risk mitigation policies and irrelevant disaster memory processes. Indeed, the concept of resilience deals with the complexity of temporal and spatial scales, and with partly emotional and qualitative processes, so that this approach fits the issues of urban memory management. Resilience might help underlining the complexity and the subtlety of remembrance messages, and lead to alternative paths better adapted to the diversity of risks, places and actors. However, when it is given territorial materiality, memory is almost always symbolically and politically framed and interpreted; Vale and Campanella had already outlined this political aspect of remembrance and resilience as a discourse. Resilience and the territorialization of memory are not ideologically neutral, but urban risk mitigation may come at that price.