• International Journal of Contents
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• v.9 no.2
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• pp.27-37
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• 2013

From the perspective of the domestic capital markets, there have been few researches on the financial characteristics of the firms belonging to the KOSDAQ(Korea Securities Dealers Automated Quotation) market, in comparison with those of the firms in the KOSPI. This study has performed three hypothesis tests to obtain the following results: By employing the 'panel data' analysis, it was found that, for the book-value based leverage, all of the six proposed IDVs were statistically significant as the financial determinants of leverage, across the two proxies measuring profitability (i.e., PFT and ROE), while all of the IDVs except VOLATILITY, also seemed to be the attributes to explain the market based dependent variable in the model with the PFT. Moreover, there may be statistically significant (structural) changes (or quasi-experiment) ) between the pre- and post-U.S. financial crisis in the year of 2008, when measured the leverage with the market-value basis with utilizing the Chow F-test. Finally, based upon the logistic regression results, the probability for a firm to be classified into the Prime section in the KOSDAQ market, may be higher, as its profit margin and asset turnover increase.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.515-521
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• 2021

The popularity of Islamic financial instruments among Muslims is not surprising. The Islamic capital market is where sharia-compliant financial assets are transacted. It works parallel to the conventional market and helps investors find sharia-compliant investment opportunities. At a time of collective confusion when the COVID-19 epidemic is contributing to unprecedented change, this paper is keen to understand how attractive conventional and Islamic stock markets have been to investors recently. Second, this paper takes advantage of the time-scale decomposition property of the wavelet to simultaneously capture risk exposure and distinguish the risks faced by short- and long-term investors. To this end, this research conducted a two-step investigation of the daily closing equity market price indices for three Islamic stock markets and their conventional counterparts. Given that different financial decisions occur with greater or less frequency, the paper examines the connectedness of stock markets operating at heterogeneous rates and identifies the timescales using wavelet-DCC-GARCH analysis to take account of both the time and the frequency domains of stock market connectedness. The paper findings highlight the strong evidence of contagion that can be seen in nearly all conventional stock markets in the COVID-19 pandemic; they reach a high level of dependency in such health crises. Furthermore, Islamic stock markets prove to be a rich ground for global diversification.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.285-294
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• 2021

The most basic forces of stock market are supply and demand, which increases or decreases on the basis of information. The crucial point is that investor's perception is depending on the availability of information at a particular time. But it is very difficult to understand what they take from a piece of information, and the decision varies from person to person; hence, it is important to understand the behavior of investors in the stock market. In this context, this study is focusing on behavioral investor-type diagnosis testing among financial market players (FMPs) in Oman. The study conducted a review of behavioral types among stock market investors, and attempted to assess the influence of age and gender factors on investor bias. It classifies investor type biases according to the gender and age of respondents. This study employs primary data with a structured questionnaire distributed to an equal number of male and female stock market investors in Muscat Securities Market. The study used sample t-test, one-way ANOVA, CATPCA and ALSCAL to identify the significant difference among age, gender and experience of the respondents. The present study found that all of the investors are influenced by different cognitive biases and, moreover, it depends on investor's gender.

• International Commerce and Information Review
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• v.10 no.3
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• pp.265-290
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• 2008

Domestic industries are facing the open era as a result of signing the Korea-U.S. FTA with no exception to the financial industry. The FFA between two countries is expected to produce pros and cons for domestic financial industry. Therefore, it is very important to minimize the shock caused by opening our financial market and to adopt the advanced financial tools actively. Signing the Korea-U.S. FTA and enforcing the Integration Law of Capital Market are leading a big crisis to the Savings Banks which have been shrinking under the dramatically changing domestic financial environment since the financial crisis. To cope with financial globalization, Korean Savings Banks are demanded to build up their concrete identity and reposition their status. This is related to shaping the long-term position of domestic financial industry. Therefore, the Savings Banks must take the growth strategy for their survival, and it is an inescapable choice. Several options are available: big scale operation and diversification of business functions, reinforcement of local-focused mediating function of funds, establishment of strategic alliance with other financial firms, reinforcement of risk management system and core competence, nourishment and employment of professional manpower, and active deregulation and policy support. When the Savings Banks are refurbished as an independent local bank performing the central role of local finance, the bright future can be their destiny under the enormously changing global financial environment. Also, two more conditions need to be satisfied: to establish horizontal networks among local banks directed by cooperative Korea Federation of Savings Banks to reverse the weak scale position, and to satisfy their own peculiar niche market with internal countermeasure to face global financial networks.

• Culinary science and hospitality research
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• v.11 no.4 s.27
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• pp.134-149
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• 2005

First, generally the more business employ the financial and non financial outcome analysis for evaluation process, the higher the success rate of new product development becomes in the domestic restaurant market. Second, the study shows that the financial outcome tends to be considered more than non financial outcome on deciding success of the new product development. Third, it is indicated that although detailed plans have a large impact on the outcome of new product development, communication between departments within a company is not a considerably important factor for deciding success of the new product. Fourth, 'market environment' has significant influence on deciding adoption level of financial and non financial outcome analysis, organizational resources and culture.

• Journal of Information Technology Applications and Management
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• v.23 no.4
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• pp.25-39
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• 2016

Asset prices decline sharply and stock markets collapse when financial crisis happens. Recently we have encountered more frequent financial crises than ever. 1998 currency crisis and 2008 global financial crisis triggered academic researches on early warning systems that aim to detect the symptom of financial crisis in advance. This study proposes a risk recovery index for detection of good opportunities from financial market instability. We use SVM classifier algorithms to separate recovery period from unstable financial market data. Input variables are KOSPI index and V-KOSPI200 index. Our SVM algorithms show highly accurate forecasting results on testing data as well as training data. Risk recovery index is derived from our SVM-trained outputs. We develop a trading system that utilizes the suggested risk recovery index. The trading result records very high profit, that is, its annual return runs to 121%.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1015-1022
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• 2009

Currently, Korean real estate market has experienced cooling down of the business because of the global economic crisis which resulted from the subprime mortgage lending practice. In response, the Korean government has enforced various policies at the base of deregulating real estate speculation, such as increasing Loan to value ratio (LTV) in order to stimulate housing demand and supply. However, these policies seemed to result in deep confusion in the Korean housing market. Furthermore, analysis for housing market forecasting, especially international financial crisis on Korean real estate market, has been partial and fragmentary, therefore comprehensive solution and systematical approach is required to analyze the real estate and real estate financial market including causal nexus between market determining factors. In an integrated point of view, applying the system dynamics modeling, the paper aims at proposing Korean Real Estate and Mortgage market dynamics models based on fundamental principles of housing market determined by supply and demand. We also find the impact of deregulation policies focusing on mortgage loan which is the main factors of policies.

• Management & Information Systems Review
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• v.29 no.2
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• pp.97-118
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• 2010

This paper explores the mean and volatility spillover effects among Chinese, Korean, and the U.S. stock markets during the Asian and global financial crises. We found that, during the Asian Financial crisis, there was no mean spillover effect to the Chinese stock markets. However, there were reciprocal mean spillover effects between the U.S. and the Korean market. This implies that Korean market was open, while Chinese market was secluded from the international financial market at that time. The negative volatility spillover effect between the U.S. and China reinforces this finding. During the global financial crisis, there was reciprocal mean spillover effect between the U.S. and China, and between the U.S. and Korea. This may reflect the fact that Chinese market has opened to the international financial market. However, the volatility spillover effect does not exist between China and the U.S., while the U.S. and Korea has reciprocal volatility spillover effect to each other. These findings may imply that China is still in the process of opening her stock market to international investors.

• The Journal of the Korea Contents Association
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• v.14 no.5
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• pp.332-346
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• 2014

The study supports not only the implicative results and strategic implication to social media staff and managers, but also extended the marketing studies in Korean financial institutions. This paper examined the effect of market orientation on social media marketing performance in the Korean financial institituions. Narver and Slater's market orientation theory was employed for the structural equation model framework. Indirect and direct implication on the social media marketing performance were analyzed. This study conducted online survey social media marketing staff and managers in 230 Korean financial institutions such as banks, securities, asset management, credit card, insurance companies. 102 responses were collected and analyzed. The results revealed that financial institutions' customer orientation, competitor orientation and inter-functional coordination have a positive impact on marketing communications execution degree but not direct effect on social media marketing performance except competitor orientation. Although it does not appear to have a statistically significant association between market orientation two concepts such as customer orientation and inter-functional coordination, and social media marketing performance directly, the competitive orientation has statistically positive impact.

• Journal of Information Technology Applications and Management
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• v.22 no.3
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• pp.1-18
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• 2015

Financial markets are characterized by large numbers of complex and interacting factors which are ill-understood and frequently difficult to measure. Mathematical models developed in finance are precise formulations of theories of how these factors interact to produce the market value of financial asset. While these models are quite good at predicting these market values, because these forces and their interactions are not precisely understood, the model value nevertheless deviates to some extent from the observable market value. In this paper we propose a framework for augmenting the predictive capabilities of mathematical model with a learning component which is primed with an initial set of historical data and then adjusts its behavior after the event of prediction.