• Asia-Pacific Journal of Business
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• v.14 no.4
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• pp.151-161
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• 2023

Purpose - In this study, we examine the factors related to the asset allocation decisions of individual investors who 1) directly invest in stocks or bonds, 2) indirectly invest in various fund products (excluding CMA and MMF), and 3) invest in both products. Design/methodology/approach - We collect a sample of 3,000 individual investors and investigate the factors influencing investment behavior, especially the diversification tendency in asset allocation, with the "Investor Behavior Survey" that is conducted jointly by the Korea Financial Investment Association and the Korea Gallup Research Institute in 2011 and 2012. Findings - Our regression analyses estimate the marginal effects of various factors such as the amount of total financial assets, monthly income, occupation, age, and gender. The results reveal that male investors with manual labor occupations were less inclined to diversify their investments compared to female investors in office jobs. Additionally, higher monthly income is associated with a greater inclination toward diversification. Therefore, if a positive relationship exists between income and educational level, we may suggest that higher educational levels lead to a greater tendency for diversification. Research implications or Originality - Interestingly, investors who engage in direct investments tend to exhibit a weaker diversification tendency as the amount of their direct investment increases. On the other hand, investors who engage in both direct and indirect investments show a weaker diversification tendency as the amount of total financial assets increases. This suggests that the investment style of investors is closely related to their diversification behavior.

• Korean Management Science Review
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• v.32 no.3
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• pp.91-103
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• 2015

This study recognizes that there is a correlation between the movement of the financial market and the sentimental changes of the public participating directly or indirectly in the market, and applies the relationship to investment strategies for stock market. The concerns that market participants have about the economy can be transformed to the search terms that internet users query on search engines, and search volume of a specific term over time can be understood as the economic trend of big data. Under the hypothesis that the time when the economic concerns start increasing precedes the decline in the stock market price and vice versa, this study proposes three investment strategies using casuality between price of domestic stock market and search volume from Naver trends, and verifies the hypothesis. The computational results illustrate the potential that combining extensive behavioral data sets offers for a better understanding of collective human behavior in domestic stock market.

• The Journal of Economics, Marketing and Management
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• v.5 no.4
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• pp.29-38
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• 2017

Organizational commitment (OC) is one of the most important attitudes and/or organizational variables. It is one of the important factors for increasing organizational performance and consequently it has a significant impact on productivity enhancement. Study of behavior in the workplace due to the great importance of manpower compared to other resources within the organization is of great importance too. OC is a psychological state which represents kind of desire, a need and a requirement for continuing employment in an organization. It is considered as one of the most influential factors in getting success and competitive advantage in today's organizations. Investigating effect of financial and non-financial variables on financial performance for a long-term has engaged the minds of researchers. Intensification of competition in markets has increased importance of recognizing competitive advantage patterns and their effect on financial performance (FP).This research conducted to provide a better understanding for people as well as for aggregation of a research subject OC and FP is compared in Indian banking sector by taking sample of 2 public and two private banks the correlation between the OC and FP and the results included a positive and significant correlation. Desired FP to increase wealth is an essential and obvious issue. According to the issued subjects, today, commitments and their impact on FP of companies have become increasingly important. In Indian banks the correlation between the OC & FP were found significant.

• 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.

• Journal of Intelligence and Information Systems
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• v.2 no.2
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• pp.43-54
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• 1996

Financial markets are operating 24 hours a day throughout the world and interrelated in increasingly complex ways. Telecommunications and computer networks tie together markets in the from of electronic entities. Financial practitioners are inundated with an ever larger stream of data, produced by the rise of sophisticated database technologies, on the rising number of market instruments. As conventional analytic techniques reach their limit in recognizing data patterns, financial firms and institutions find neural network techniques to solve this complex task. Neural networks have found an important niche in financial a, pp.ications. We a, pp.y neural networks to Standard and Poor's (S&P) 500 stock index futures trading to predict the futures marker behavior. The results through experiments with a commercial neural, network software do su, pp.rt future use of neural networks in S&P 500 stock index futures trading.

• Journal of Families and Better Life
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• v.26 no.5
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• pp.377-390
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• 2008

This paper investigated materialism inclination of the parents recognized by the adolescents and analysed the relationships between 5 categorized types about parents' materialism inclination and financial characteristics of the adolescents. Statistical analysis was achieved by using Cronbach'$\alpha$, paired t-test, one-way ANOVA, two-way ANOVA, Duncan's multiple range test, chi-square analysis, and Ward' hierarchical cluster analysis with a total of 801 questionnaires. The results are summarized as follows: First, the adolescents felt that calculated points of father and mother's materialism inclination were lower than median points and mother's inclination for materialism was higher than that of father. Second, five categories were classified according to materialism inclination of parents. First classified category was the type which showed both parents had little interest in materials and the second category was the type which father had strong interest in materials. The third one was the type which mother had strong interest in materials. The last two categories were the ones which both parents had much interest in materials. Final result of this study revealed that attitudes of the adolescents for materialism and money were higher for those whose parents had strong interest in materialism than those whose parents had little materialism interest. They showed not only the behaviors of impulsive and overspending consumption but also low financial satisfaction and high financial stress.

• Journal of Korean Society for Quality Management
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• v.45 no.4
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• pp.903-916
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• 2017

Purpose: The paper analyzes empirically the causal relationship between customer-oriented Quality circle activities and Business Performance for Korean service firms. We compare the operational characteristic behavior of the service firms and business performance. Methods: In this study, we used 3 variables, QC activities, Employee commitment and business performance. Especially, Service SME's QC Circle activities were analyzed in related with growth of company on the basis activities such as Leadership(team), improvement activity, Organizational learning, customer-focus activity and employee suggestion. Results: The result of analysis showed that employee commitment affected significantly on financial performance and non-financial performance and in turn, improvement activities, Organizational learning and customer-focus activity affected significantly on business performance (financial and non-financial). Conclusion: In the summary of the characteristics of this study based on the research results, first, segmenting the QCC activities in the service business into 5 elements can be considered to be differentiated from the existing researches in the aspect of utilizing the organization's objective-oriented variables differently from the researches utilized the variables related personal characteristics. Second, this study suggested the recent research results that suggested the problems of the QCC clearly, through which what new QC story approach was suggested has working level value in the aspect of activating the service QCC.

• Journal of Korean Institute of Industrial Engineers
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• v.36 no.3
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• pp.203-211
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• 2010

This study examines a cointegrated vector autoregressive (VAR) model where parameters are subject to switch across the regimes in the term structure of interest rates. To employ the regime switching framework, the Markov-switching vector error correction model (MS-VECM) is allowed to the regime shifts in the vector of intercept terms, the variance-covariance terms, the error correction terms, and the autoregressive coefficient parts. The corresponding approaches are illustrated using the term structure of interest rates in the US Treasury bonds over the period of 1958 to 2009. Throughout the modeling procedure, we find that the MS-VECM can form a statistically adequate representation of the term structure of interest rate in the US Treasury bonds. Moreover, the regime switching effects are analyzed in connection with the historical government monetary policy and with the recent global financial crisis. Finally, the results from the comparisons both in information criteria and in forecasting exercises with and without the regime switching lead us to conclude that the models in the presence of regime dependence are superior to the linear VECM model.

• Asia pacific journal of information systems
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• v.31 no.2
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• pp.236-256
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• 2021

Online financial technology products are an important consumer finance innovation. While a large body of previous research has focused on initial adoption and consumer willingness to use these products, little research explores the continued use of these products beyond the initial adoption phase. In particular, special attention should be paid to how users' trust and perceptions of privacy and security affect continued use behavior. This paper integrates the expectation confirmation model of information system continuance (ECM-ISC), the information system success model (ISSM) and the security and trust literatures to investigate continued use of online financial technology. To test the research model, we collected 398 valid questionnaires from Ant Credit Pay users. The research results show that system and service quality positively impact users' expectation confirmation, while information quality has no significant impact. Expectation confirmation and perceived usefulness positively affect user satisfaction. Moreover, the user's perception of privacy and security plays a vital role in user satisfaction. Satisfaction and perceived trust jointly promote users' continuance behaviors. Findings of this study indicates the importance of the information system success factors and security factors due to their influence on the continued use of Fintech products. This conclusion has implications for enterprises in improving the product qualities and enhancing the degree of security to meet user needs.

• Journal of the Korean Home Economics Association
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• v.30 no.1
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• pp.219-235
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• 1992

This study attempted to examine a theoretical framework which synthesizes risk attitude, type of investment management and investment behavior and to provide the specific investment strategy by analysing several variables which have effect upon the investment behavior. The results of this research were as follow : 1. Risk attitude had significant differences by the variabels such as age, sex, education, income and debt/asset ratio. Also the type of investment management was influenced significantly by the variables such as age, education, occupation, income, total asset, debt/asset ratio, achievement motivation and risk attitude. The ratio of risky asset holdings was affected by the variabels such as age, education, occupation, housing ownership, income, total asset, debt/asset ratio, achievement motivation, risk attitude and type of investment management. 2. Among several variables affecting the ratio of risky asset holding risk attitude, education, type of investment management, debt/asset ratio and achievement motivation had direct effect on it. Besides age had indirect effect through risk attitude and age, achievement motivation and risk attitude had indirect effect through the type of investment management. 3. The results of this study showed that causal relation between input, throughput and output can be applied to household's investment behavior and the concept of risk or risk attitude can be applied to other fields except household's investment. Also it could be attributed to provide the investment strategy for improving level of household's financial well-being.