• Asia pacific journal of information systems
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• 제16권1호
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• pp.71-84
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• 2006

Case-based reasoning (CBR) is a reasoning technique that reuses past cases to find a solution to the new problem. It often shows significant promise for improving effectiveness of complex and unstructured decision making. It has been applied to various problem-solving areas including manufacturing, finance and marketing for the reason. However, the design of appropriate case indexing and retrieval mechanisms to improve the performance of CBR is still a challenging issue. Most of the previous studies on CBR have focused on the similarity function or optimization of case features and their weights. According to some of the prior research, however, finding the optimal k parameter for the k-nearest neighbor (k-NN) is also crucial for improving the performance of the CBR system. In spite of the fact, there have been few attempts to optimize the number of neighbors, especially using artificial intelligence (AI) techniques. In this study, we introduce a genetic algorithm (GA) to optimize the number of neighbors to combine. This study applies the novel approach to Korean stock market. Experimental results show that the GA-optimized k-NN approach outperforms other AI techniques for stock market prediction.

• The Journal of Asian Finance, Economics and Business
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• 제3권3호
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• pp.79-91
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• 2016

This paper is the first of its kind using a non-linear approach based on cross-correlation function (CCF) to investigate the information arrival hypothesis in crude palm oil (CPO) futures market. Based on daily data from 1986 to 2010, our empirical results reveal that: First, the volume of volatility is not a proxy of information flow. Second, dependence causality running from current return to future volume in conditional variance exhibit an asymmetric pattern of time span with different signs of correlation between price and volume series. This finding indicates the presence of noise traders' hypothesis of price-volume interaction in CPO futures market. Both findings suggest that this futures market is weak-form inefficiency. In terms of investors' behavior, they tend to change their expectations on current return based on errors made in previous trade in generating abnormal volume in the subsequent period. As implied, it is advisable for the investors devise their future trading strategies according to time span and changes of return.

• Asian Journal of Innovation and Policy
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• 제3권2호
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• pp.172-192
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• 2014

This study aims to analyze the valuation of technology firms in the stock market to answer how before-market entities should be valuated. This study analyzes 230 market reports of 2012 for technology firms in the KOSDAQ under several hypotheses. The results are as follows: 90% used the 3 multiples methods consisting of PER multiples with 80%, PBR multiples 8.7% and EBITDA multiples 1.7%. The average of PER multiples was 15 with the range of 6.9 to 83. That of PBR multiples is 2.27. Forecasting for cash flow is not applied over 4 years, but mainly 2-3 years. The accuracy of forecasting was 18.8%, 34.4% and 8% according to the different definitions. No differences were found in the accuracy of forecasting between valuation methods, between the industries having more intangible assets and the industries having less, and between startups and general companies and between ages and listed ages.

• 한국시스템다이내믹스연구
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• 제2권2호
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• pp.41-62
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• 2001

Perhaps, one of the typical emerging markets drawing tremendous attention from not only business professionals but also policy-makers would be the mobile Internet services. In recent years many research institutes reported their predictions on the growth of the mobile Internet services market, announcing that the market would show explosive growth and replace the wired Internet service market rapidly. Unfortunately, however, the reality we are facing at present is quite different from their expectations. The realized share of the mobile services in Korea last year has turned out remaining only about one percent of the total network service revenue. What are the reasons for the gap between the prospects and the reality? Starting from this question, this paper attempts to explore the generic pitfalls of the traditional number-crunching methods adopted thus far for the forecast of newly emerging market trends, and present an alternative by introducing systems thinking to the mobile Internet service market as an example, followed by its rationale as a new tool for forecasting and some reasoning about why traditional methods are no longer appropriate.

• 아태비즈니스연구
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• 제14권2호
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• pp.153-165
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• 2023

Purpose - The purpose of this study is to derive sub-group of Chinese residents to Harbin International Ice and Snow Festival through market segmentation and to identify their characteristics of each group. Design/methodology/approach - The survey was conducted with a total of 405 Chinese residents, and empirical analysis was conducted using SPSS program. Findings - As a result of the analysis, four factors were derived. Based on the factors, four sub-markets were derived by conducting cluster analysis for market segmentation. Market strategies for each sub-group were discussed based on significant differences between clusters according to demographic characteristics. Research implications or Originality - The results of this study contribute to find out potential target market of Chinese residents, and to provide data for better positing of Harbin International Ice and Snow Festival.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.543-549
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• 2021

The stock market plays a crucial role in the growth of industry and trade, which eventually affects the economy. This paper studies the determinants of stock market development in Jordan using yearly time-series data (1978-2019). The autoregressive distributed lag approach is applied to examine co-integration, while the vector error correction model is employed to estimate (long-run and short-run) causal relationships. The results show that macroeconomic determinants such as gross domestic product, gross domestic savings, investment rate, credit to the private sector, broadest money supply, stock market liquidity, and inflation rate are important determinants of stock market development. These findings provide vital implications for policymakers in developed and emerging stock markets. First, economic development plays an imperative role in stock market development. Second, developing the banking sector is mandatory because it can significantly promote stock market development. Third, domestic investment is a significant determinant of stock market development, especially in emerging countries. However, it is vital to launch policies that lead to encourage investment and promote stock market development, and this could be done through (1) encouraging competition, (2) improving the institutional framework, and (3) removing trade blocks by establishing a mutual connection between foreign private investment entities and government authorities.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2008년도 춘계학술대회
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• pp.47-51
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• 2008

Recently, the development of technology has been rapidly proceeding with information technology in various fields. Due to their abstract properties, proper evaluation of intangible assets is very difficult compared to evaluation of tangible assets. Intangible assets are knowledge, technology, and design etc. In general there are two approaches to evaluate the intangible assets such as qualitative and quantitative approach. The qualitative approach contains scoring approach, profile approach, checklist approach, and quantitative approach. Quantitative approach contains cost approach, market approach, income approach, and real-option approach. As an initial step for evaluation of safe work environments, this study compares and analyzes evaluation methods of intangible assets.

• 충청수학회지
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• 제29권2호
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• pp.329-336
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• 2016

The optimal portfolio choice problem with a stochastic income is considered in continuous-time framework. We provide a novel approach to treat the stochastic income when the market is complete. The developed method is useful to obtain closed-form solutions of the problems under borrowing constraints.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2018년도 전력전자학술대회
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• pp.519-521
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• 2018

For most of application, total system cost is first priority to Engineer. Approach for making system cost down can be to reduce cooling cost by selecting low loss item or reducing filter cost by increasing frequency. SiC Mosfet ($CoolSiC^{TM}$) can approach both of case. This paper shows market-needs and reviews each application with SiC.

• 재무관리연구
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• 제26권2호
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• pp.93-112
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• 2009

본 연구의 목적은 국내에서 운용되는 신탁형과 회사형을 포함한 주식형 펀드들의 시장 타이밍 능력과 변동성 타이밍 능력을 검증하는데 있다. 본 연구의 표본기간은 2001년 1월에서 2007년 12월까지의 기간으로, 표본 기간 동안 24개월 이상 존재한 545개의 펀드를 분석 대상으로 하였다. 분석결과, 전통적인 방법을 이용하였을 경우 소수의 펀드에서 시장 타이밍 능력과 변동성 타이밍 능력이 존재하는 것으로 나타났다. 하지만, 횡단면 부트스트랩(cross-sectional bootstrap) 방법으로 도출된 '운(luck)' 분포를 이용하였을 경우, 타이밍 능력이 존재하는 소수의 주식형 펀드들은 단지 '운(luck)'에 의한 것이지 '능력(skill)'에 의한 것이라고 판단하기 어렵다는 것을 발견하였다.