• Title/Summary/Keyword: asset model

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A Study of Effect of Collaboration for Supplier's Strategic Benefits in Electronic Partnerships (전자적 파트너십에서 공급자의 전략적 혜택 창출을 위한 협업의 효과에 관한 연구)

  • Kim, Jin-Wan;Kim, Yu-Il;Hong, Tae-Ho
    • The Journal of Information Systems
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    • v.17 no.4
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    • pp.341-367
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    • 2008
  • This study propose a model relating supplier's use of IOIS(Inter-Organizational Information Systems) to strategic benefits through extension of Subramani's research model. In extended model, collaboration serves as a safeguard for relationship-specific intangible asset. Specifically, we evaluate how two patterns of IOIS use by supplier(exploitation and exploration) relate to two specific types of relationship-specific intangible asset(business process specificity and domain knowledge specificity), which in turn are posited to promote collaboration and strategic benefits. To explore the current study, questionnaire survey was conducted on 72 first-tier supplier firms in the manufacturing industry. Based on the survey results, we posits the following : (1) Each pattern of IOIS use directly promotes a specific type of relationship-specific intangible asset. The path of the relationship between IOIS use for exploitation and domain knowledge specificity is positive but not significant. The other paths are positive and significant. (2) Both types of relationship-specific intangible asset have a positive and significant impact on collaboration. (3) Domain knowledge specificity influences on strategic benefits but business process specificity does not have an effect on them. (4) Collaboration affects supplier's strategic benefits. These findings provide a deeper understanding of the mechanism of how the pattern of IOIS use can result in strategic benefits for supplier firms.

The Impact of Capital Structure on Firm's Profitability: A Case Study of the Rubber Industry in Vietnam

  • CO, Huong Thi Thanh;UONG, Trang Thi Mai;NGUYEN, Cong Van
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.7
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    • pp.469-476
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    • 2021
  • This study aims to examine and measure the impact of capital structure on the profitability of companies in emerging markets. The research sample includes eighteen rubber companies listed on the Vietnam stock exchange from 2015-2019. After collecting the research data, it was imported into excel to calculate the criteria for the research model. By using Stata 16 software, the study selected a data processing model and evaluated the relevance of the regression analysis model. The research results show that the profitability of listed rubber companies in Vietnam (measured by return on equity (ROE) has a positive relationship with the debt-to-asset ratio but has a negative relationship with the long-term debt-to-asset ratio. The results also show a positive impact of firm size and revenue growth on profitability while liquidity and the ratio of tangible fixed assets to total assets do not affect significantly. These results are consistent with most of the previously published studies. However, in contrast to many previous studies, our study shows that the long-term debt-to-assets ratio has a negative effect on profitability while the debt-to-asset ratio has a positive effect. This is entirely consistent with the characteristics of long-term debt use in emerging markets.

MULTI-TYPE FINANCIAL ASSET MODELS FOR PORTFOLIO CONSTRUCTION

  • Oh, Jae-Pill
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.14 no.4
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    • pp.211-224
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    • 2010
  • We define some asset models which are useful for portfolio construction in various terms of time. Our asset models are geometric jump-diffusions defined by the solutions of stochastic differential equations which are decomposed by various terms of time basically. We also can study pricing and hedging strategy of options in our models roughly.

EMPIRICAL REALITIES FOR A MINIMAL DESCRIPTION RISKY ASSET MODEL. THE NEED FOR FRACTAL FEATURES

  • Christopher C.Heyde;Liu, S.
    • Journal of the Korean Mathematical Society
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    • v.38 no.5
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    • pp.1047-1059
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    • 2001
  • The classical Geometric Brownian motion (GBM) model for the price of a risky asset, from which the huge financial derivatives industry has developed, stipulates that the log returns are iid Gaussian. however, typical log returns data show a distribution with much higher peaks and heavier tails than the Gaussian as well as evidence of strong and persistent dependence. In this paper we describe a simple replacement for GBM, a fractal activity time Geometric Brownian motion (FATGBM) model based on fractal activity time which readily explains these observed features in the data. Consequences of the model are explained, and examples are given to illustrate how the self-similar scaling properties of the activity time check out in practice.

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HEDGING OF OPTION IN JUMP-TYPE SEMIMARTINGALE ASSET MODEL

  • Oh, Jae-Pill
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.13 no.2
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    • pp.87-100
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    • 2009
  • Hedging strategy for European option of jump-type semimartingale asset model, which is derived from stochastic differential equation whose driving process is a jump-type semimartingle, is discussed.

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The Predictive Power of Multi-Factor Asset Pricing Models: Evidence from Pakistani Banks

  • SALIM, Muhammad;HASHMI, Muhammad Arsalan;ABDULLAH, A.
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.11
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    • pp.1-10
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    • 2021
  • This paper compares the performance of Fama-French three-factor and five-factor models using a dataset of 20 Pakistani commercial banks for the period 2011 to 2020. We focus on an emerging economy as the findings from earlier studies on developed countries cannot be generalized in emerging markets. For empirical analysis, twelve portfolios were developed based on size, market capitalization, investment strategy, and growth. Subsequently, we constructed five Fama-French factors namely, RM, SMB, HML, RMW, and CMA. The OLS regression technique with robust standard errors was applied to compare the predictive power of both the Fama-French models. Further, we also compared the mean-variance efficiency of the Fama-French models through the GRS test. Our empirical analysis provides three unique and interesting findings. First, both asset pricing models have similar predictive power to explain the expected portfolio returns in most cases. Second, our results from the GRS test suggest that there is no noticeable difference in the mean-variance efficiency of one asset pricing model over the other. Third, we find that all factors of both Fama-French models are statistically significant and are important for explaining the volatility of expected commercial bank returns in the context of Pakistan.

Case Study on Major Digital Media Asset Management Systems (디지털미디어자산관리시스템 사례분석에 관한 연구)

  • Jung, Jin-Taek
    • Journal of Digital Contents Society
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    • v.9 no.2
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    • pp.235-244
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    • 2008
  • The purpose of this paper is to analyze and compare the existing digital media asset management systems and develop a prospective implementation model. As a result of conducting this research, it is recommended that the prospective system consists of an archiving server, a processing server, and an interface system. This result suggests important starting point to develop a resonable and reliable implementation model for digital media asset management system.

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TWO APPROACHES FOR STOCHASTIC INTEREST RATE OPTION MODEL

  • Hyun, Jung-Soon;Kim, Young-Hee
    • Journal of the Korean Mathematical Society
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    • v.43 no.4
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    • pp.845-858
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    • 2006
  • We present two approaches of the stochastic interest rate European option pricing model. One is a bond numeraire approach which is applicable to a nonzero value asset. In this approach, we assume log-normality of returns of the asset normalized by a bond whose maturity is the same as the expiration date of an option instead that of an asset itself. Another one is the expectation hypothesis approach for value zero asset which has futures-style margining. Bond numeraire approach allows us to calculate volatilities implied in options even though stochastic interest rate is considered.

IT Systems Risk Analysis Using Object Oriented Asset Classification Model (객체지향 자산분류모델을 이용한 위험분석에 관한연구)

  • Lee, Hyeak-Ro;Ahn, Seong-Jin
    • Journal of Internet Computing and Services
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    • v.9 no.4
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    • pp.79-84
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    • 2008
  • In these days, many organizations try to manage their assets in safe way due to fast change in information-communication environment. In Korea, risk analysis and vulnerability analysis for security improvement of critical asset is booming by enforcement of Act on security of information and communication infrastructure. It is obligate that each critical information infrastructure needs to get vulnerability analysis. In this paper, we proposed Object Oriented Asset Classification model for asset analysis and risk analysis.

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