• Title/Summary/Keyword: Profit Index

Search Result 159, Processing Time 0.026 seconds

A Study on the Relevance of the BSC Adoption Firm's CSV index to the Firm Value (BSC 도입기업의 공유가치창출(CSV) 지표와 기업가치의 관련성)

  • Bae, Byung-Han;Kim, Hyuna;Lee, Chae-Ri;Wang, Yan;Kim, Min-Jung
    • Management & Information Systems Review
    • /
    • v.31 no.4
    • /
    • pp.491-516
    • /
    • 2012
  • The KPI of the four perspectives in BSC need to modify because of the change of management environment. In particular, the KPI of the financial perspective needs to modify necessarily. The KPI of financial perspective has been consisted of short-term measures: net profit current year, operating profit, ROE, ROIC, and EVA. But this financial indicators cannot afford to represent essential corporate sustainability management in the change of management environment. So this study suggests CSV(Creating Shared Value) as an additional KPI of financial perspective. And this study investigates whether CSV represents business performance as the additional KPI in BSC adoption firms. To verify a hypothesis, the sample includes listed firms announcing CSR index publicly between 2005 and 2010. The results of this study are summarized as follows. The high CSV firms is higher on the value relevance of firm in comparison with low CSV firms. Moreover, The firm value of BSC adoption firms is lower than otherwise, but it is insignificant. Limitation of Our study is that we have no choice but to use dummy variable. Because it is a material question as CSV measurement. Nevertheless, contribution of our study is to suggest new KPI of BSC perspective to meet management environment.

  • PDF

Influence of Internal and External Factors on the Inventory Turnover Change Rate (기업 내부적 및 외부적 요인이 재고자산회전율 변화율에 미치는 영향)

  • Seo, Yeong-Bok;Park, Chan-Kwon
    • Journal of Convergence for Information Technology
    • /
    • v.11 no.9
    • /
    • pp.94-108
    • /
    • 2021
  • This study is to identify the internal and external factors of a company that can affect the rate of change in the inventory turnover ratio. In addition, by appropriately managing or responding to these factors, changes in the inventory turnover ratio do not occur abruptly, so that the company's business and financial performance can be improved. To confirm this, factors such as gross profit margin, cash flow volatility, advertising expenses, inflation, exchange rate rise, and leading economic index were selected, and these factors were predicted to affect the change rate of inventory turnover. Data of 85,878 companies were obtained from domestic securities listings, KOSDAQ listings, and externally audited companies, and multiple regression analysis was performed using the data. Gross profit margin and cash flow volatility have a significant positive (+) effect, advertising expenses have a negative (-) significant effect, and inflation and exchange rate rises have a negative (-) significant effect. As an influence, the leading economic index was tested to have a significant positive (+) effect. Through this, it is suggested that manufacturing companies can improve their business performance and achieve operational efficiency by well understanding and appropriately managing factors that can affect the change rate of inventory turnover.

Analysis of Current Status of Ppuri industry in Korea (2009 ~ 2018) (국내 뿌리산업 현황분석 (2009 ~ 2018))

  • Lee, Jisuk;Lee, Hanwoong;Kim, Sungduk;Lee, Sangmok
    • Journal of Korea Foundry Society
    • /
    • v.41 no.1
    • /
    • pp.26-38
    • /
    • 2021
  • The status of Ppuri industry, including foundry industry was analyzed through statistical surveys over the past 10 years from 2009 to 2018, and summarized for each six Ppuri industries' points of view. Various statistics of Ppuri industry defined by the KSIC (Korean Standard Industry Classification) was obtained, and the status of Ppuri industry was identified through a sample survey of 5,000 companies from more than 30,000 target business companies of Ppuri industry. Throughout the analyzing process, we presented a variety of indicators, such as the number of the Ppuri companies and its ratio, regional distribution through Korean provinces, number of workers, characteristics by age group, sales, profit rates, etc. By devising a comparative method to measure the relative strength of Ppuri industry in Korea, Germany, and Japan, we have presented the competitiveness index change over the 10 years of time. The competitiveness index can be effectively and meaningfully used during various activities of the development of Ppuri industry in the forth coming future. With the current obtained data, we figured out the status of each 6 Ppuri industries, regional distribution, status of workers, sales and profit rates. We also suggested various proposals for strategy and policy making for each sector with urging voluntary response from Ppuri industry.

Structural Equation Model for Korea Internet Infrastructure Customer Satisfaction Index(KIICSI) (구조방정식을 이용한 초고속 국가망 서비스의 고객만족도 평가체계 개발)

  • Shin Sun Young;Shin Sang-Chul;Moon Tae Hee;Sohn So Young
    • Journal of KIISE:Information Networking
    • /
    • v.32 no.2
    • /
    • pp.220-235
    • /
    • 2005
  • Internet Service Quality has been constantly the center of attention to Internet Service Providers. The KII project plan (Korea Information Infrastructure) aims to build broadband backbone networks mainly through optical fiber cables and ATM switches and to Provide the government ministries, local authorities and non-profit organizations with high-speed, highly capable broadband access to these networks at reasonable rates. The KB service model, however, is different from other Internet Service models much in the same way SP (Service Provider) and NP (Network Provider) differ from each other. In this paper, we evaluate KII service according to various customer satisfaction indicators under the methodologies and categories as put forth in both the ACSI (American Customer Satisfaction Index) and SEM (Structural Equation Model). We use a structural equation model (SEM) to demarcate the Korea Information Infrastructure Customer Satisfaction Index (KIICSI) in relation to network service quality. The results of our study suggest some strategies for the KII Project need to be modified and effectively implemented in order to increase the satisfaction level of the KII customers.

Developing a Trading System using the Relative Value between KOSPI 200 and S&P 500 Stock Index Futures (KOSPI 200과 S&P 500 주가지수 선물의 상대적 가치를 이용한 거래시스템 개발)

  • Kim, Young-Min;Lee, Suk-Jun
    • Management & Information Systems Review
    • /
    • v.33 no.1
    • /
    • pp.45-63
    • /
    • 2014
  • A trading system is a computer trading program that automatically submits trades to an exchange. Mechanical a trading system to execute trade is spreading in the stock market. However, a trading system to trade a single asset might occur instability of the profit because payoff of this system is determined a asset movement. Therefore, it is necessary to develop a trading system that is trade two assets such as a pair trading that is to sell overvalued assets and buy the undervalued ones. The aim of this study is to propose a relative value based trading system designed to yield stable and profitable profits regardless of market conditions. In fact, we propose a procedure for building a trading system that is based on the rough set analysis of indicators derived from a price ratio between two assets. KOSPI 200 index futures and S&P 500 index futures are used as a data for evaluation of the proposed trading system. We intend to examine the usefulness of this model through an empirical study.

  • PDF

Graphs Used in ASEAN Trading Link's Annual Reports: Evidence from Thailand, Malaysia, and Singapore

  • Kurusakdapong, Jitsama;Tanlamai, Uthai
    • Journal of Information Technology Applications and Management
    • /
    • v.22 no.3
    • /
    • pp.65-81
    • /
    • 2015
  • This study reports a preliminary finding of the types and numbers of graphs being presented in the annual reports of about thirty top listed companies trading publicly in the stock markets of three countries-Thailand (SET), Malaysia (BM), and Singapore (SGX)-that were chosen based on their inclusion in the ASEAN Stars Index under the ASEAN Trading Link project. A total of 6,753 graphs from nineteen sectors were extracted and examined. Banking, real estate, and telecommunications are ranked the three most condense sectors, accounting for 50.2% of the total number of graphs observed. The three most used graphs are the Conservative Bar, Donut graph and Stack Bar. Less than one percent of Infographic type graphs were used. The five most depicted graphed variables are Asset, Revenue, Net profit, Liability, and Dividend. Using rudimentary framework to detect distorted or misleading statistical graphs, the study found 60.6% of the graphs distorted across the three markets, SET, BM, and SGX. BM ranked first in percentages of graphs being distortedly presented (73%). The other two markets, SET and SGX, have about the same proportions, 53.88% and 53.03%, respectively. Likewise, the proportions of Well-designed versus Inappropriate-designed graphs of the latter two markets are a little over one time (SET = 1 : 1.17; SGX = 1 : 1.13), whereas the proportion is almost triple for the BM market (BM = 1 : 2.70). In addition, the trend of distorted graphs found is slightly increasing as the longevity of the ASEAN Stars Index increases. One possible explanation for the relatively equal proportion of inappropriate graphs found is that SET is the smallest market and SGX, though the largest, is the most regulated market. BM, on the other hand, may want to present their financial data in the most attractive manner to prospective investors, thus, regulatory constraints and governance structure are still lenient.

Volatility Forecasting of Korea Composite Stock Price Index with MRS-GARCH Model (국면전환 GARCH 모형을 이용한 코스피 변동성 분석)

  • Huh, Jinyoung;Seong, Byeongchan
    • The Korean Journal of Applied Statistics
    • /
    • v.28 no.3
    • /
    • pp.429-442
    • /
    • 2015
  • Volatility forecasting in financial markets is an important issue because it is directly related to the profit of return. The volatility is generally modeled as time-varying conditional heteroskedasticity. A generalized autoregressive conditional heteroskedastic (GARCH) model is often used for modeling; however, it is not suitable to reflect structural changes (such as a financial crisis or debt crisis) into the volatility. As a remedy, we introduce the Markov regime switching GARCH (MRS-GARCH) model. For the empirical example, we analyze and forecast the volatility of the daily Korea Composite Stock Price Index (KOSPI) data from January 4, 2000 to October 30, 2014. The result shows that the regime of low volatility persists with a leverage effect. We also observe that the performance of MRS-GARCH is superior to other GARCH models for in-sample fitting; in addition, it is also superior to other models for long-term forecasting in out-of-sample fitting. The MRS-GARCH model can be a good alternative to GARCH-type models because it can reflect financial market structural changes into modeling and volatility forecasting.

A Study on the Operation of Connection Service to the 2nd Phase Gyeongbu High Speed Railroad Line (경부고속철도 2단계 연계서비스 운영방안 연구)

  • Lee, Jin-Ho;Cho, Chi-Hyun;Shim, Myeong-Gu
    • Proceedings of the KSR Conference
    • /
    • 2010.06a
    • /
    • pp.359-370
    • /
    • 2010
  • In Apr. 2004, the 1st phase of Gyeongbu high speed railroad line was opened between Seoul and Busan, and this new high speed railroad service has increased the customers' satisfaction index and railroad passengers' profit. Moreover, at the end of year 2010 the 2nd phase of Gyeongbu high speed railroad line will be open, and the journey time between Seoul and Busan will be shortened and the new high speed railroad service will be expanded to Gyeongju & Ulsan area. This study will introduce the operation of connection service between new stations and downtown to the 2nd phase Gyeongbu high speed railroad station (Gyeongju, Ulsan station), and analyze the effects of connection service using connection demand analysis and also economic effects. This kind of connection service will contribute to the increase of passengers' satisfaction index and high speed railroad revenue.

  • PDF

An Empirical Analysis on the Effect of Data Quality on Economic Performance in the Financial Industry (금융산업에서의 데이터 품질이 경제적인 성과에 주는 영향의 실증분석)

  • Lee, Sang-Ho;Park, Joo-Seok;Kim, Jae-Kyeong
    • Information Systems Review
    • /
    • v.13 no.1
    • /
    • pp.1-11
    • /
    • 2011
  • This study empirically investigated the effect of firm-level data quality on economic performance in the Korean financial industry during 2008~2009. The data quality was measured by data quality management process index and data quality criteria by Korea Database Agency, and financial firm performance data was acquired from Financial Statistics Information System of the Financial Supervisory Service. The result showed that the data quality has statistically significant impacts on financial firm performance such as sales, operating profit, and value added. If the data quality management process index increases by one, the value added can increase by 2.3 percent. Moreover, the data quality criteria increase by one, the value added can increase by 72.6 percent.

Profitability of Options Trading Strategy using SVM (SVM을 이용한 옵션투자전략의 수익성 분석)

  • Kim, Sun Woong
    • Journal of Convergence for Information Technology
    • /
    • v.10 no.4
    • /
    • pp.46-54
    • /
    • 2020
  • This study aims to develop and analyze the performance of a selective option straddle strategy based on forecasted volatility to improve the weakness of typical straddle strategy solely based on negative volatility risk premium. The KOSPI 200 option volatility is forecasted by the SVM model combined with the asymmetric volatility spillover effect. The selective straddle strategy enters option position only when the volatility is forecasted downwardly or sideways. The SVM model is trained for 2008-2014 training period and applied for 2015-2018 testing period. The suggested model showed improved performance, that is, its profit becomes higher and risk becomes lower than the benchmark strategies, and consequently typical performance index, Sharpe Ratio, increases. The suggested model gives option traders guidelines as to when they enter option position.