• KDI Journal of Economic Policy
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• v.32 no.1
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• pp.97-129
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• 2010

We examine performance of actively managed equity funds in Korea for the period from 2002 to 2008 and investigate if fund managers have market timing abilities. We obtain the following findings: (1) average performance of funds evaluated at net return basis(net of expenses) is statistically indistinguishable from zero; (2) average performance of funds evaluated at gross return basis(before netting expenses) exceeds benchmark market returns significantly. More importantly, when funds are grouped by their size of expenses, higher performance is matched with larger expense; (3) the regression results for decomposing positive excessive returns of large-expense funds between market timing and stock selection ability are mixed. The first two findings of the paper are consistent with the Efficient Market Hypothesis a $l{\acute{a}}$ Grossman and Stiglitz(1980). Concluding remarks, however, need to be reserved since sources of excessive performance of funds with large expenses are yet to be clarified.

• New & Renewable Energy
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• v.18 no.3
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• pp.32-42
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• 2022

Rapid spread of intermittent renewable energy has amplified the instability and uncertainty of power systems. The Korea Power Exchange (KPX) promoted efficient management by opening the power brokerage market in 2019. By combining small-scale intermittent renewable energy with a flexible facility through the power brokerage market, the KPX aims to develop a virtual power plant system that will allow the conversion of existing intermittent renewable energy into collective power plants. However, the participation rate of renewable power owners in the power brokerage market is relatively low because other markets such as the small solar power contract market or the Korea Electric Power Corporation power purchase agreement are more profitable. In this study, we used a choice experiment to determine the attributes affecting the participation rate in the power brokerage market for 113 renewable power owners and estimate the value of the power brokerage market. According to the estimation results, a low smart meter installation cost, low profit variations, long contract periods, and few clearances increased the probability of participation. Moreover, the average value of the power brokerage market was estimated to be 2.63 million KRW per power owner.

• The Journal of Society for e-Business Studies
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• v.7 no.3
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• pp.1-19
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• 2002

This research investigates several essential topics of m-business by conducting a questionnaire to the professional experts. The topics include the market structure and business, the demand for available m-business service and its development, the market size and market growth factors, the service fee, the core technologies and technology development prediction. This paper contributes to the development of m-business in that it provides criteria and policies for more active and efficient treatment of m-business market under IMT2000 environment and also offers guides and plans of m-business activation for both government and enterprise.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.8
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• pp.1496-1503
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• 2009

The United Nations Framework Convention on Climate Change (UNFCCC) is an international environmental treaty to stabilize greenhouse gas concentrations in the atmosphere. In order to fulfil the commitments of the countries in an economically efficient way, the UNFCCC adapted the emission trading scheme in the Kyoto Protocol. If the UNFCCC's scheme is enforced in the country, considerable changes in electric power industry are expected due to the imposed greenhouse gas emission reduction. This paper proposes a game theoretic model of the case when generation companies participate in both competitive electricity market and emission market simultaneously. The model is designed such that generation companies select strategically between power quantity and greenhouse gas reduction to maximize their profits in both markets. Demand function and Environmental Welfare of emission trading market is proposed in this model. From the simulation results using the proposed model the impact of the emission trading on generation companies seems very severe in case that the emission prices are significantly high.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.1207-1213
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• 2006

This paper shows that case-based reasoning (CBR), an artificial intelligence technique, is a quite efficient tool in monitoring financial market against its possible collapse. For this purpose, daily financial condition indicator (DFCI) monitoring financial market is built on CBR and its performance is compared to DFCI on neural network. This study is empirically done for the Korean financial market.

• International Commerce and Information Review
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• v.7 no.1
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• pp.283-307
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• 2005

The research was carried out at the electronic Gw-mart located at Gangwon province. The secondary data and the various other reference materials were used for the research. This research brings forth the concrete activation plan for the activation of an electronic market in the Gangwon province. So, the activation plan for an e-market at Gang won can be done in six ways, first result of the undertaken research achieved in six ways- first, concentration has to be laid on the internet portal sites, second, the local sites should be well connected with the shopping mall facilities, third, a trustworthy shopping mall has to be established by maintains the product quality and quantity, fourth, a visible distinction should be made between the various products, fifth, the division of labor must be specified and a provisions should be made for a efficient after service.

• Journal of Korea Port Economic Association
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• v.19 no.2
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• pp.111-139
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• 2003

In this paper, the unbiasedness hypothesis cannot be rejected for JPY. It means that Japanese forward exchange market is efficient. This implies that there would not be an unusual profit from speculation. However, the unbiasedness hypothesis can be rejected for THB, HKD, IDR. It means that Asian forward exchange market is inefficient. This implies that there would be an unusual profit from all available information. This suggests that forward exchange rates cannot be an unbiased estimator of future spot exchange rate. This result explains that the actual pricing for forward rate is not based on the international financial market's pricing mechanism of interest rate parity theory, but rather depends upon that simple market expectations and aspirations.

• East Asian Economic Review
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• v.23 no.2
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• pp.149-168
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• 2019

Public information arrivals and their immediate incorporation in asset price is a key component of semi-strong form of the Efficient Market Hypothesis. In this study, we explore the impact of public information arrivals on cryptocurrency market via Twitter posts. The empirical analysis was conducted through various methods including Kapetanios unit root test, Maki cointegration analysis and Markov regime switching regression analysis. Results indicate that while in bull market positive public information arrivals have a positive influence on Ripple's value; in bear market, however, even if the company releases good news, it does not divert out the Ripple from downward trend.

• Journal of Information Technology Applications and Management
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• v.25 no.4
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• pp.157-169
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• 2018

The purpose of this study was to examine the volatility of bitcoin, diagnose if bitcoin are a systematic risk asset, and evaluate their effectiveness by estimating market beta representing systematic risk using GARCH (Generalized Auto Regressive Conditional Heteroskedastieity) model. First, the empirical results showed that the market beta of Bitcoin using the OLS model was estimated at 0.7745. Second, using GARCH (1, 2) model, the market beta of Bitcoin was estimated to be significant, and the effects of ARCH and GARCH were found to be significant over time, resulting in conditional volatility. Third, the estimated market beta of the GARCH (1, 2), AR (1)-GARCH (1), and MA (1)-GARCH (1, 2) models were also less than 1 at 0.8819, 0.8835, and 0.8775 respectively, showing that there is no systematic risk. Finally, in terms of efficiency, GARCH model was more efficient because the standard error of a market beta was less than that of the OLS model. Among the GARCH models, the MA (1)-GARCH (1, 2) model considering non-simultaneous transactions was estimated to be the most appropriate model.

• Asia Marketing Journal
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• v.21 no.2
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• pp.51-71
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• 2019

L&P Cosmetic, the leading company selling mask packs on the global market, produces MEDIHEAL, the number-one best-selling mask pack brand in Korea and the best-selling imported mask pack brand in China (2017). The company pioneered the premium market for mask packs through its launch of premium mask packs in 2009, and has subsequently achieved outstanding success in Korea and China. Three key factors have contributed to the success of L&P Cosmetic: product leadership with R&D capability, strategic marketing programs tailored for each market segment, and operational excellence focusing on strategic outsourcing and partnership management. Nonetheless, globalization beyond the Chinese market remains a major challenge for the potential of L&P Cosmetic. The company has embarked upon a collaboration with BTS, the world's top K-pop stars, as an optimally effective way to achieve its goals and a highly efficient strategy to manage the risks of globalization. The global branding collaboration project with BTS has succeeded in generating primary demand for mask packs on the global market, spreading brand awareness of MEDIHEAL, and establishing global channel networks. L&P Cosmetic will continue to grow worldwide on the basis of this outstanding performance.