• 한국노년학
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• v.37 no.2
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• pp.349-368
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• 2017

The purpose of this study is to empirically structure the patterns of baby boomer retirees'consumption and their effects on depression in later life. Using the 5th wave of Korea Retirement and Income Study(KReIS) in 2013, of baby boomers born in 1955 to 1963, we analyzed those who were completely retired(n=420). The Latent Profile Analysis(LPA) classified the empirical patterns of consumption and then a multiple regression analyzed the effect of consumption patterns on depression among these baby boomer retirees. The LPA results showed that the consumption patterns consist of five groups: (1) Basic life-oriented class(26.9%), (2) Balanced consumption class(29.3%), (3) Social life-oriented class(18.3%), (4) Leisure-oriented class(18.5%), and (5) Education-oriented class(7.0%). Baby boomer retirees' depression was associated with their consumption patterns. Specifically, the basic life-oriented class showed significantly lower depression than the education-oriented class. Other correlates such as higher education, having no spouse, lower subjective health, greater limitations in physical functions, having a diagnosed disability, having fewer children, higher dissatisfaction with leisure activities, and lower self-perceived economic status were associated with higher levels of depression in this study. These findings suggest meaningful implications for gerontological policy and practice for baby boomer retirees in Korea. In light of vulnerable retirement preparation, social services specialized for baby boomers should consider financial education for revamping consumption scale beyond asset management and long-term case management of pre and post retirement cases.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.53 no.2
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• pp.111-120
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• 2004

This paper presents an application of Unified Modeling Language(UML) software technique for developing transmission pricing evaluation package. Also, this paper describes a transmission pricing algorithm applicable to a large-scale power system. The usage-based transmission pricing mechanism is very complex since it requires power flow analysis, fault current analysis, sensitivity evaluation of a transmission line, penalty factors calculation, transmission asset databases, and cost allocation rules, etc. For the efficient and flexible development of the transmission pricing package, a UML. approach is applied, which is composed of a use-case diagram, interaction diagram, class diagram, and package diagram using Rational Rose Unified Process(RUP). The designed transmission pricing package can be efficiently modified and reused as the market environments evolves since it is designed by Object-Oriented Programming(OOP).

• Journal of the Korean Data and Information Science Society
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• v.21 no.6
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• pp.1327-1335
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• 2010

In this paper, we want to develop objective priors for the common location parameter in two half-t distributions with unequal scale parameters. The half-t distribution is a non-regular class of distribution. One can not develop the reference prior by using the algorithm of Berger of Bernardo (1989). Specially, we derive the reference priors and prove the propriety of joint posterior distribution under the developed priors. Through the simulation study, we show that the proposed reference prior matches the target coverage probabilities in a frequentist sense.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.39-55
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• 2019

Recently banks and large financial institutions have introduced lots of Robo-Advisor products. Robo-Advisor is a Robot to produce the optimal asset allocation portfolio for investors by using the financial engineering algorithms without any human intervention. Since the first introduction in Wall Street in 2008, the market size has grown to 60 billion dollars and is expected to expand to 2,000 billion dollars by 2020. Since Robo-Advisor algorithms suggest asset allocation output to investors, mathematical or statistical asset allocation strategies are applied. Mean variance optimization model developed by Markowitz is the typical asset allocation model. The model is a simple but quite intuitive portfolio strategy. For example, assets are allocated in order to minimize the risk on the portfolio while maximizing the expected return on the portfolio using optimization techniques. Despite its theoretical background, both academics and practitioners find that the standard mean variance optimization portfolio is very sensitive to the expected returns calculated by past price data. Corner solutions are often found to be allocated only to a few assets. The Black-Litterman Optimization model overcomes these problems by choosing a neutral Capital Asset Pricing Model equilibrium point. Implied equilibrium returns of each asset are derived from equilibrium market portfolio through reverse optimization. The Black-Litterman model uses a Bayesian approach to combine the subjective views on the price forecast of one or more assets with implied equilibrium returns, resulting a new estimates of risk and expected returns. These new estimates can produce optimal portfolio by the well-known Markowitz mean-variance optimization algorithm. If the investor does not have any views on his asset classes, the Black-Litterman optimization model produce the same portfolio as the market portfolio. What if the subjective views are incorrect? A survey on reports of stocks performance recommended by securities analysts show very poor results. Therefore the incorrect views combined with implied equilibrium returns may produce very poor portfolio output to the Black-Litterman model users. This paper suggests an objective investor views model based on Support Vector Machines(SVM), which have showed good performance results in stock price forecasting. SVM is a discriminative classifier defined by a separating hyper plane. The linear, radial basis and polynomial kernel functions are used to learn the hyper planes. Input variables for the SVM are returns, standard deviations, Stochastics %K and price parity degree for each asset class. SVM output returns expected stock price movements and their probabilities, which are used as input variables in the intelligent views model. The stock price movements are categorized by three phases; down, neutral and up. The expected stock returns make P matrix and their probability results are used in Q matrix. Implied equilibrium returns vector is combined with the intelligent views matrix, resulting the Black-Litterman optimal portfolio. For comparisons, Markowitz mean-variance optimization model and risk parity model are used. The value weighted market portfolio and equal weighted market portfolio are used as benchmark indexes. We collect the 8 KOSPI 200 sector indexes from January 2008 to December 2018 including 132 monthly index values. Training period is from 2008 to 2015 and testing period is from 2016 to 2018. Our suggested intelligent view model combined with implied equilibrium returns produced the optimal Black-Litterman portfolio. The out of sample period portfolio showed better performance compared with the well-known Markowitz mean-variance optimization portfolio, risk parity portfolio and market portfolio. The total return from 3 year-period Black-Litterman portfolio records 6.4%, which is the highest value. The maximum draw down is -20.8%, which is also the lowest value. Sharpe Ratio shows the highest value, 0.17. It measures the return to risk ratio. Overall, our suggested view model shows the possibility of replacing subjective analysts's views with objective view model for practitioners to apply the Robo-Advisor asset allocation algorithms in the real trading fields.

• Journal of the military operations research society of Korea
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• v.35 no.1
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• pp.83-93
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• 2009

The future warfare is known as an effective centric paralysis warfare where military high technologies such as pinpoint strikes are applied. In this future warfare, for supporting military operation leadership and power of concentration in the combat, a new concept of logistic support is required and the focused logistic is proposed as an alternative. To implement this focused logistic, asset visibility should be assumed for every combat units in real time. However, current logistic information systems provide only limited information. In this study, a prototype information system for class 2 and 4 supplies is proposed for overcome limitations of current information system. The developed prototype zooms in on combat units providing business process integrations and logistic function synchronization. Also, asset visibility, the essential element of focused logistics, is presented and utilized to show the speedy and effective logistic support.

• Asia-Pacific Journal of Business
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• v.13 no.4
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• pp.45-59
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• 2022

Purpose - This study investigates the performance of investment strategies incorporating estimated stock market cycle based on a lead-lag relationship between business cycle and stock market cycle, thereby deriving empirical implications on risk management. Design/methodology/approach - The data period ranges from June 1953 to September 2022 and de-trended short rate, term spread, credit spread, stock market volatility are considered as major input variables to estimate business cycle and stock market cycle by applying probit model. Based on the estimated stock market cycle, two types of strategies are constructed and their performance relative to the benchmark is empirically examined. Findings Two types of strategies based on stock market cycle are considered: The first strategy is to long(short) on stocks when stock market stage is expected to be an expansion(a recession), and the second one is to long on stocks(bonds) when expecting an expansion(a recession). The empirical results show that the strategies based on stock market cycle outperforms a simple buy and hold strategy in both in-sample and out-of-sample investigation. Also the out-of-sample evidence suggests that the second strategy which is in line with asset allocation is more profitable than the first one. Research implications or Originality The strategies considered in this study are based on the estimated stock market cycle which only depends on a few easily available financial variables, thereby making easier to establish such a strategy. It implies that investors enhance investment performance by constructing a relatively simple trading strategies if they set their position on stocks or choose which asset class to buy conditioning on stock market cycle.

• The KIPS Transactions:PartD
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• v.12D no.7 s.103
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• pp.1071-1078
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• 2005

Use case modeling is a widely used technique for functional requirements analysis of business system but it is difficult to identify a use cases at the right level and use case specifications are too long and confusing. It is also hard to determine a functional decomposition Phases·s of use cases. Therefore customer doesn't understand the use cases. This paper is defining concept of the Information Structure Modeling(ISM) and analyzing business system for the customer's perspective. ISM is an efficient mechanism for analyzing user requirements and for Identifying objects in a business system using Attribute Structure Diagram which is a major tool of the ISM that describes user event. This paper is also to show how the classes are classified and derived as event-asset-transaction type in ISM. It provides a user-friendly approach to visually representing business model.

• Journal of Engineering Education Research
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• v.21 no.6
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• pp.81-89
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• 2018

Patents have been recognized as a core knowledge asset which are closely related with company's technological competitiveness. However, only a small portion of patents are actually contributing to the profit of the company. In addition, it costs a lot of money continuously to maintain the patent rights regardless of their values. Thus, effective methodologies are required to create patents with high values. It is examined what kind of differences exist between high value patents and the others in the use of TRIZ methodologies. For the purpose, we analyzed the US granted patents of Samsung Electronics. The analysis shows that there is no significant difference in the use of inventive principles, but high value patents utilize 'separation by condition' the most where as the others 'separation by space' the most frequently in the use of separation principles. In the use of standard solutions, high value patents use the 'class 2' principles frequently than the others.

• The Journal of Economics, Marketing and Management
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• v.11 no.4
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• pp.11-18
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• 2023

Purpose: The purpose of this study is to present policy implications by analyzing the residential environment in North Korea under the Kim Jong-un regime. Research design, data, and methodology: Residential environment analysis was reviewed by dividing it into physical, socio-cultural, economic, environmental, and policy aspects. Results: Pyongyang are considerably superior due to it being the residence of the country's leadership and middle class. Secondly, there is a concerning problem with the provision of substandard housing. Construction materials are in short supply, and unreasonable timelines often lead to uninhabitable houses, signaling a need for assistance in housing construction. Thirdly, there is a severe lack of essential residential infrastructure, such as reliable electricity and clean water supply, which significantly impacts the quality of life. Lastly, due to the country's economic hardships, basic housing rights are not guaranteed, leading to deplorable living conditions for many North Koreans. The report suggests that these issues should be addressed through international aid to guarantee the basic human rights of North Koreans. Conclusions: In North Korea, the poor living environment deteriorates the health and quality of life of citizens and adversely affects social and economic development. Therefore, international support and cooperation to improve the living environment of North Koreans is important.

• Journal of the Korean association of regional geographers
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• v.22 no.2
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• pp.307-330
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• 2016

This article aims to explain how Gangnam, as a model and standard of compressed urbanization in South Korea, was created. Gangnam and Gangnam-style urbanization need attention not only because they contrast with Korea's urbanization in the past as well as urbanization in the West but also they provide an important model in contemporary Korea's politics, economy and culture. However, there are little studies of how Gangnam's peculiar urbanism was created. To fill this gap, this article will first capture Gangnam's peculiar urbanism as a material landscape and sociocultural lifestyle. Gangnam-style urbanism is (a) materially characterized by high-rise apartment complexes owned by the middle and upper class for dwelling and asset growth and (b) socio-culturally characterized by political conservatism, public indifference, competition over academic performance, appearance, and fashion, and nightlife. Then it will show Gangnam's archetype was created in a spatially and temporally compressed way in and through the spatial selectivity of Korean anti-communist authoritarian developmental state strategies: (1) anti-communism led to the diffusion and accommodation of the population through apartments in Gangnam in the context of its confrontation with North Korea and the fast-growing population of Seoul; (2) military authoritarianism excluded the low-income class and the urban poor from urban development; and (3) the developmental state adopted selective housing policy which treated construction companies and the middle class preferentially through exceptional zoning and price distortions, promoting the construction of apartment in Gangnam and its resultant uneven development.