• Korean Journal of Construction Engineering and Management
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• v.14 no.3
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• pp.65-77
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• 2013

Apartment brand has been used as a new strategy in Korean housing market to fulfill customer's changing needs for buying houses. A number of construction companies have succeeded in brand awareness and image building, however, they still struggle to establish brand loyalty and manage brand equity elements in balance. The purpose of this study is to analyze the brand equity building process of apartment products in Korean housing market and determine causal relationships among variables to propose strategies for long-term prosperity of the construction companies. System Dynamics modeling method is applied to describe how variables affect and are linked to each other in terms of building equity and enhancing company profits from customers' brand awareness to brand loyalty. Based on the analysis model, strategies for construction companies depending on their market share were proposed and this may support the company to achieve financial success and competitiveness among its competitors in the fast-changing market.

• Korean Journal of Construction Engineering and Management
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• v.20 no.2
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• pp.68-78
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• 2019

Recently, housing prices have surged, and the government has implemented various regulations, such as finance and taxes. Because of the policy, the nationwide housing price have stabilized, but polarization has occurred. Some argue that regulation can adversely affect the actual demand. Therefore, not only the correlation between market variables but also ripple effect of policy has to be analyzed in policy planning and analysis from a microscopic point of view. In this study, a simulation model was developed by integrating system dynamics for analyzing market structure and agent-based model for modeling decision process of market participants. This research applied the financial regulation and the tax regulation to the model and evaluated the policy effectiveness. This study reveals which feedback dominates according to the policies, which have same purpose. It is because market participants make different decision for each policy. Furthermore, there were other ripple effects not only in the policy target submarket but also in other submarket.

• The Journal of Information Systems
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• v.30 no.1
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• pp.65-84
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• 2021

Purpose Based on the development of artificial intelligence and big data technologies, the RegTech has been emerged to reduce regulatory costs and to enable efficient supervision by regulatory bodies. The word RegTech is a combination of regulation and technology, which means using the technological methods to facilitate the implementation of regulations and to make efficient surveillance and supervision of regulations. The purpose of this study is to describe the recent adoption of RegTech and to provide basic examples of applying RegTech to capital market regulations. Design/methodology/approach English-based ontology and deep learning technologies are quite developed in practice, and it will not be difficult to expand it to European or Latin American languages that are grammatically similar to English. However, it is not easy to use it in most Asian languages such as Korean, which have different grammatical rules. In addition, in the early stages of adoption, companies, financial institutions and regulators will not be familiar with this machine-based reporting system. There is a need to establish an ecosystem which facilitates the adoption of RegTech by consulting and supporting the stakeholders. In this paper, we provide a simple example that shows a procedure of applying RegTech to recognize and interpret Korean language-based capital market regulations. Specifically, we present the process of converting sentences in regulations into a meta-language through the morpheme analyses. We next conduct deep learning analyses to determine whether a regulatory sentence exists in each regulatory paragraph. Findings This study illustrates the applicability of RegTech-based ontology and deep learning technologies in Korean-based capital market regulations.

• The Korean Journal of Applied Statistics
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• v.36 no.1
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• pp.85-100
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• 2023

The stochastic volatility (SV) model is one of the main methods of modeling time-varying volatility. In particular, SV model is actively used in estimation and prediction of financial market volatility and option pricing. This paper attempts to model the time-varying volatility of the bitcoin market price using SV model. Hidden Markov model (HMM) is combined with the SV model to capture characteristics of regime switching of the market. The HMM is useful for recognizing patterns of time series to divide the regime of market volatility. This study estimated the volatility of bitcoin by using data from Upbit, a cryptocurrency trading site, and analyzed it by dividing the volatility regime of the market to improve the performance of the SV model. The MCMC technique is used to estimate the parameters of the SV model, and the performance of the model is verified through evaluation criteria such as MAPE and MSE.

• Journal of Korea Trade
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• v.27 no.1
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• pp.192-210
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• 2023

Purpose - Vietnam has the fastest growing digital economy in Southeast Asia and is emerging as a critical overseas market for Korean banks in the post-COVID-19 era. Accordingly, many Korean banks entered the Vietnamese market to overcome the limitations of the saturated domestic financial market and create new revenue sources. This study examined the current status of digital finance in Vietnam and the cases of Korean banks that have succeeded in the Vietnamese market. Then, importance-performance analysis (IPA) was conducted on local customers, managers and staff members of Korean banks in Vietnam. Design/methodology - In this study, we analyzed the importance and satisfaction factors of mobile banking app usage in Vietnam through IPA. In particular, we identified the differences between the two groups by considering the viewpoint of customers who use mobile banking apps and that of managers and staff members who provide mobile banking services. Findings - The IPA results from the customer group and managers and staff members group were generally similar, but differences were observed in Ease of Use (Technology), Innovativeness (Organization), and Increase in Revenue (Economic). In the case of the customer group, Ease of Use (Technology) is located in the second quadrant, which shows low satisfaction compared to high importance. However, in the managers and staff members group, Ease of Use (Technology) is located in the first quadrant, which indicates high importance and high satisfaction. This difference in perception can cause complaints from local customers; thus, it is necessary to change the perception of the technological aspect for ease of use of mobile banking apps in consideration of the customer's position. In addition, it is necessary to allocate the resources invested in the Innovativeness (Organization) and Increase in Revenue (Economic) to Ease of Use (Technology). Originality/value - In this study, based on the HOTE framework, factors for using mobile banking apps were derived, and IPA was conducted targeting local customers (app user) and managers and staff members (app provider) of Korean banks in Vietnam. Through this, we presented the results of empirical analysis that can help Korean banks efficiently utilize limited resources and budgets.

• International Area Studies Review
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• v.13 no.1
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• pp.123-143
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• 2009

This paper investigates the determinants of total factor productivity(TFP) growth in Korean logistics industry such as market share, ownership structure, age of firm, firm size and debt ratio. Using financial data on individual firms in Korean logistics industry, we first estimate firm-level TFP growth rate and then, regress the estimated TFP growth rate on individual firms market power and structural characteristics. Our empirical results show that logistics firms market share is negatively correlated with their TFP growth rate. Also, we find that older or larger firms are more likely to have higher TFP growth rate.

• International Commerce and Information Review
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• v.13 no.2
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• pp.51-73
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• 2011

Because of the slowdown in economic growth of developed countries, emerging countries are appearing as the new global market. Each country is paying attention to the BOP market of emerging countries to substitute for the markets of import demand of advanced countries due to the global financial crisis. Europe and Japanese corporations are set on taking over the BOP markets, highly appreciating the potential of BOP market. Now it is high time that Korea should recognize the possibility of BOP market and analyze emerging countries and set up strategic planning to react to them. China and India have the highest latent ability as emerging countries in Asia. Korea is well positioned within the market thanks to the conclusion of CEPA with India. Therefore, the government and leading conglomerates need to establish an effective model with which to advance their existing market entry strategy to approach the BOP market of India in the mid to long term. That is, they have to set up a TMB model which fits India such as marketing competence, an on-site adaptability, quick decision making, and constructing a close and customized strategy for all the social stratum of India's population. Establishing a TMB model in India will be the bridgehead to advancing the BOP market to neighboring countries which will allow us to extend our reach to other countries in South Asia and the world BOP market hereafter.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.459-462
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• 2021

The article examines the main problems of land market formation in Ukraine. The article is devoted to the study of problems and prospects of land market introduction after the abolition of the ban on alienation. The advantages and disadvantages of lifting the moratorium on the purchase and sale of agricultural land are highlighted. The experience of such European countries as France, Germany, Latvia, Romania and Poland in regulating the market of agricultural lands is analyzed. The historical stages of market formation, features of state policy in this area are considered. The authors found that in these countries the market for agricultural land is well developed and works effectively, which has positive consequences for the economy of these countries. After analyzing the experience, we identified common elements of an effective mechanism for regulating the land market in European countries, which can be implemented in Ukraine. It is emphasized that after the opening of the land market it is necessary to prevent the concentration of a large number of agricultural lands in the hands of one person or close persons and it is necessary to create an effective supervisory body, whose main functions will be supervising sales prevention of speculation in the land market. Emphasis is placed on the need to improve legislation in the field of land, organizational and informational conditions for land reform. The Law of Ukraine "On Amendments to Certain Legislative Acts of Ukraine Concerning the Circulation of Agricultural Land" was analyzed, the adoption of which put an end to the systematic extension of the moratorium on the sale of agricultural land. The positive aspects of such reservations are noted, such as the gradual introduction of the land market, quantitative restrictions, the lower limit of the value equivalent, which can not be less than the normative monetary value. At the same time, the problem is that the lack of an imperative norm on termination of the lease agreement in case of refusal of the lessee to purchase such land at a price not lower than expert assessment, will negatively affect its price formation and actually make the landlord hostage.

• The Korean Journal of Financial Management
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• v.25 no.1
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• pp.109-140
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• 2008

The primary objective of this paper investigates whether asymmetric volatility phenomenon is caused by differences of opinion among investors and analyses information availability has an effect on asymmetric volatility. The empirical test period covers recent 6 years from January 4, 2000 to December 29, 2005. Five portfolios have been formed according to information availability(volume and market value). For the purpose of this study, We use TGARCH model, TGARCH-M model and adjusted model which include trading volume as a proxy differences of opinion among investors. The results are summarized as follows ; First, adjusted model analysis shows that asymmetric volatility phenomenon is disappeared or asymmetric coefficient and ratio is decreased than basis model. Second, portfolio analysis shows that the higher volume and market value, the more prominent asymmetric volatility phenomenon. And adjusted model analysis shows the higher volume and market value, the more decrease asymmetric ratio. Over all, assertion that differences of opinion among investors has caused asymmetric volatility phenomenon is regarded as reasonable. And, We see that information availability have great effect on asymmetric volatility phenomenon. We think that theses results can also occur opinion adjustment of optimistic investors. Namely, asymmetric volatility phenomenon can occur difference of information authenticity.

• The Korean Journal of Financial Management
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• v.20 no.1
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• pp.1-27
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• 2003

The purpose of this study is to empirically investigate the role of capitalized intangibles such as patents, copy rights and R&D and non-capitalized intangibles such as advertising expenses and labor-related expenses, which are considered to be important to generating future excess profits, on the valuation of IPO shares. This study examines 125 firms which went public during 1992 - 1998. The result suggests that advertising expenses do not have significant influence on the offer price and the market price of IPO shares. On the other hand, R&D and labor-related expenses play important role in determining the offer price and the market price of IPO shares. In case of capitalized intangible assets, they we important factors in determining the market price but not the of for price. This study suspects that the Securities and Exchange Law of the Korean Securities Exchange Commission potentially contribute to the result of no effect of capitalized intangibles (except R&D) on the offer price by underwriters. According to the Law, any intangible assets which are considered to be irrelevant to the valuation of IPO shares must be exclued. This is very ambiguous and potentially cause underwriters to exclude any intangibles difficult to measure their value. However the market considers capitalized intangibles to be important, as suggested by the result of this study. To reduce this valuation asymmetry, it is important to reveal detailed information regarding the valuation of assets, in particular, intangible assets to the public.