• Title/Summary/Keyword: financial component

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The Impacts of Changes in Brand Attributes on Financial Market Valuation of Korean Firms

  • Lee, Hee Tae;Kim, Byung-Do
    • Asia Marketing Journal
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    • v.16 no.1
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    • pp.169-193
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    • 2014
  • The earlier studies have verified that brand values have significant impact on financial values such as stock return and stock price to justify marketing costs for brand building. Except for Mizik and Jacobson (2008), however, little research has addressed what kinds of brand components composing brand values have a significant relationship with financial values. As a follow-up research of Mizik and Jacobson (2008), this research focuses on what kinds of relationships exist between the unanticipated change of each brand asset component and stock return, one of the financial values. The authors selected six brand asset components from the Korea-Brand Power Index(K-BPI) data in which 'Top of Mind,' 'Unaided Awareness,' and 'Aided Awareness' are brand awareness measures and 'Image,' 'Purchase Intention,' and 'Preference' are brand loyalty measures. Out of those six brand components, they found that unanticipated changes of 'Top of Mind,' 'Unaided Awareness,' 'Image,' and 'Preference' have significantly positive effect on unexpected stock return change. Therefore, they conclude that these four brand asset components provide incremental information in explaining unanticipated stock return.

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Design and Implementation of Approval System for Web-based Banking Component System (웹기반 뱅킹컴포넌트 시스템에서 승인시스템의 설계 및 구현)

  • An, Tae-Gwang;Kim, Byeong-Gi
    • The KIPS Transactions:PartD
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    • v.8D no.6
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    • pp.781-788
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    • 2001
  • As changing financial environment and increasing the number of access channel to banking system, new banking system is needed which can be developed financial commodity rapidly, can be deployed easily, and can be maintained easily. Component based development method is believed to meet these demands. In this paper, we propose EJB banking component and explain its system architecture and functionality. And we design and implement approval system on EJB banking component system. To implement approval system, approval conditions are classified and registered. Using registered approval condition, transactions are classified whether approval is needed or not. Approval client for web based client standardization has an advantage of no need to deploy and manage software version.

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Analysis of Multivariate Financial Time Series Using Cointegration : Case Study

  • Choi, M.S.;Park, J.A.;Hwang, S.Y.
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.1
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    • pp.73-80
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    • 2007
  • Cointegration(together with VARMA(vector ARMA)) has been proven to be useful for analyzing multivariate non-stationary data in the field of financial time series. It provides a linear combination (which turns out to be stationary series) of non-stationary component series. This linear combination equation is referred to as long term equilibrium between the component series. We consider two sets of Korean bivariate financial time series and then illustrate cointegration analysis. Specifically estimated VAR(vector AR) and VECM(vector error correction model) are obtained and CV(cointegrating vector) is found for each data sets.

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Regime-dependent Characteristics of KOSPI Return

  • Kim, Woohwan;Bang, Seungbeom
    • Communications for Statistical Applications and Methods
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    • v.21 no.6
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    • pp.501-512
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    • 2014
  • Stylized facts on asset return are fat-tail, asymmetry, volatility clustering and structure changes. This paper simultaneously captures these characteristics by introducing a multi-regime models: Finite mixture distribution and regime switching GARCH model. Analyzing the daily KOSPI return from $4^{th}$ January 2000 to $30^{th}$ June 2014, we find that a two-component mixture of t distribution is a good candidate to describe the shape of the KOSPI return from unconditional and conditional perspectives. Empirical results suggest that the equality assumption on the shape parameter of t distribution yields better discrimination of heterogeneity component in return data. We report the strong regime-dependent characteristics in volatility dynamics with high persistence and asymmetry by employing a regime switching GJR-GARCH model with t innovation model. Compared to two sub-samples, Pre-Crisis (January 2003 ~ December 2007) and Post-Crisis (January 2010 ~ June 2014), we find that the degree of persistence in the Pre-Crisis is higher than in the Post-Crisis along with a strong asymmetry in the low-volatility (high-volatility) regime during the Pre-Crisis (Post-Crisis).

How Does Economic News Affect S&P 500 Index Futures? (거시경제변수가 S&P 500 선물지수에 어떤 영향을 미치는가?)

  • So, Yung-Il;Ko, Jong-Moon;Choi, Won-Kun
    • The Korean Journal of Financial Management
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    • v.13 no.1
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    • pp.341-357
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    • 1996
  • Some empirical studies have shown that asset prices respond to announcements of economic news, however, others also have found little evidence. This study assesses how market participants of the S&P 500 Index Futures reacted to the U.S. economic news announcements. For this purpose, using a GARCH (Generalized Autoregressive Conditional Heteroscedasticity) model, we use several U.S. news variables, its each surprise component and interest rates. We find that some economic news variables affected significantly on the S&P 500 Index Futures. In other words, we find that weekend variable, lagged volatility, and surprise component of trade deficit increased level of volatility. However, interest rate, M1, unemployment announcements caused the variance of the S&P 500 Index Futures to reduce, and each of the surprise component of M1 and trade deficit increased it. The result suggests that resolution of uncertainty, through economic news announcement, while, in some cases, causes market participants to reduce their forecast of volatility, a large difference between the market's forecast and the realization of the series causes the volatility to increase.

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Effects of ISO 9001:2008 Requirement Execution and TQM on Financial Performance (ISO 9001:2008 요구사항 실행이 TQM과 재무성과에 미치는 영향)

  • Park, Moo-Hyun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.35 no.2
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    • pp.80-87
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    • 2012
  • It is well known that ISO 9001 and TQM have significant effects on business success. We analyzed the effects of ISO 9001 requirements and TQM on financial performance with structural equation modeling. Hypotheses are proposed and tested based on existing beliefs, proposition and prior research concerning quality. Survey data were collected from 291 manufacturing companies with ISO 9001 certifications. The data show that ISO 9001:2008 requirements have significant positive direct effects on TQM practices, but do not have positive direct effects on financial performance. As expected, TQM has significant positive direct effects on financial performance. One of the important results is that efforts to meet ISO 9001:2008 requirements enhance TQM practices which, in turn, helps to improve financial performance. Findings in this study support the claims that ISO 9001:2008 would be a good step toward total quality management and is a meaningful component of TQM.

Foreign Exchange Risk Control in the Context of Supply Chain Management

  • Park, Koo-Woong
    • Journal of Distribution Science
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    • v.13 no.2
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    • pp.15-24
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    • 2015
  • Purpose - Foreign exchange risk control is in an important component in the international supply chain management. This study shows the importance of the reference period in forecasting future exchange rates with a specific illustration of KIKO currency option contracts, and suggests feasible preventive measures. Research design, data, and methodology - Using monthly Won-Dollar exchange rate data for January 1995~July 2007, I evaluate the statistical characteristics of the exchange rate for two sub-periods; 1) a shorter period after the East Asian financial crisis and 2) a longer period including the financial crisis. The key instrument of analysis is the basic normal distribution theory. Results - The difference in the reference period could lead to an unexpected development in contract implementation and a consequent financial loss. We may avoid foreign exchange loss by using derivatives such as forwards or currency options. Conclusions - We should consider not only level values but also the volatilities of financial variables in making a binding financial contract. Appropriate measures may differ depending on the specific supply chain pattern. We may extend the study with surveys on actual risk measures.

A Graphical Improvement in Volatility Analysis for Financial Series (시계열 변동성 그래프의 개선)

  • Lee, Jeong Won;Yoon, Jae Eun;Hwang, Sun Young
    • The Korean Journal of Applied Statistics
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    • v.26 no.5
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    • pp.785-796
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    • 2013
  • News Impact Curves(NIC) developed by Engle and Ng (1993) have been useful for graphically representing the volatilities arising from financial time series. Adding an improvement and refinement to the original NIC, this article proposes so called two dimensional NIC and principal component NIC. We illustrate the methodology via Kosdaq data.

An Analysis of the Relationships Among Financial Risk Components (가계 재무위험 구성요소들의 관계분석)

  • Jeong Woonyoung;Kim Kyungia
    • Journal of the Korean Home Economics Association
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    • v.42 no.10 s.200
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    • pp.11-22
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    • 2004
  • The purpose of this study was to examine the structure of financial risk components of households. The financial risk of households was assumed to be composed of risk knowledge, risk attitude and risk management behavior. For this study, a questionnaire was developed and distributed to 700 households in Seoul and Kwangju, and there were 495 responses with usable data. The findings showed that income stability had a positive relationship with the level of risk knowledge and risk attitude. Income stability, household debt, age of the youngest child and risk knowledge were found to have direct effects on risky vs. non-risky asset ratio. Income stability, savings, age of the youngest child and risk knowledge also had significant effects on the number of risky assets owned by households. Risk knowledge was the most important determinant of risk management behavior.