• Title/Summary/Keyword: statement

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Development and Implementation of Extension Models Based on the Review of Cash Flow Models (현금흐름모형 고찰에 의한 확장모형의 개발 및 적용)

  • Choi, Sungwoon
    • Journal of the Korea Safety Management & Science
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    • v.15 no.4
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    • pp.435-448
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    • 2013
  • The aim of this study is to investigate and develop the extended models for Economic Cash Amount(ECA), Cash Break Even-Point(BEP), and Cash Flow Statement(CFS) by referencing systematic literature review in the field. The study develops three extended models to determine the optimal cash amount: ECA model with interest opportunity cost, financing transaction cost and financing fail cost, ECA model with daily cash supply and interest opportunity cost, ECA model with financing fail cost and interest opportunity cost. Earnings Before Interests, Tax, Depreciation and Amortization(EBITDA) is obtained by subtracting noncash depreciation costs from Earning Before Interest and Tax(EBIT), which is efficient metric to evaluate operating cash flow. The research also develops two extended Cash BEP models, considered as interest and corporate tax, in order to indentify the break-even point as EBITDA equals zero. Furthermore, this paper proposes the modified version of CFS by introducing the reclassification of operating and financing accounts in the statement of financial position. In addition, the study also present the reclassification of five types of profit, such as gross profit, EBIT, ordinary profit, special profit, and net profit within the statement of comprehensive income. In order to provide a better understanding of the proposed cash flow models, numerical examples, such as two-sample t test and Analysis of Variance(ANOVA), are presented to demonstrate the statistical significance according to the industrial types for net working capital(i.e cash-to-cash), net profit, operating cash flow and free cash flow.

Information Efficiency of Financial Statement on the Firm Value (재무정보와 시장효율성에 관한 연구)

  • Jeong, Seonhye;Lee, Younghwan
    • Journal of Digital Convergence
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    • v.14 no.10
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    • pp.107-117
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    • 2016
  • This study examines information efficiency of financial information on the firm value for the listed manufacturing companies in Korea stock market in terms of timing pattern of information. We set 3 different test periods based on the financial statement released years - the current year, 90 days before financial statement announcement and the next year. We introduce using the stepwise regression method to examine the effect of financial variables on the stock returns. The financial variables include profitability ratio, growth ratio, stability ratio, activity ratio and market valuation ratio. The results of the study showed that both growth and profitability ratio affected the current year stock returns, while stability and activity ratio affected the next year stock returns. Growth rate of total asset affects both current year and next year stock returns. Our findings imply that the period in which financial information is reflected in the firm value, could vary with the characteristics of financial information.

Utilization of Forecasting Accounting Earnings Using Artificial Neural Networks and Case-based Reasoning: Case Study on Manufacturing and Banking Industry (인공신경망과 사례기반추론을 이용한 기업회계이익의 예측효용성 분석 : 제조업과 은행업을 중심으로)

  • Choe, Yongseok;Han, Ingoo;Shin, Taeksoo
    • Journal of the Korean Operations Research and Management Science Society
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    • v.28 no.3
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    • pp.81-101
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    • 2003
  • The financial statements purpose to provide useful information to decision-making process of business managers. The value-relevant information, however, embedded in the financial statement has been often overlooked in Korea. In fact, the financial statements in Korea have been utilized for nothing but account reports to Security Supervision Boards (SSB). The objective of this study is to develop earnings forecasting models through financial statement analysis using artificial intelligence (AI). AI methods are employed in forecasting earnings: artificial neural networks (ANN) for manufacturing industry and case~based reasoning (CBR) for banking industry. The experimental results using such AI methods are as follows. Using ANN for manufacturing industry records 63.2% of hit ratio for out-of-sample, which outperforms the logistic regression by around 4%. The experiment through CBR for banking industry shows 65.0% of hit ratio that beats the statistical method by 13.2% in holdout sample. Finally, the prediction results for manufacturing industry are validated through monitoring the shift in cumulative returns of portfolios based on the earning prediction. The portfolio with the firms whose earnings are predicted to increase is designated as best portfolio and the portfolio with the earnings-decreasing firms as worst portfolio. The difference between two portfolios is about 3% of cumulative abnormal return on average. Consequently, this result showed that the financial statements in Korea contain the value-relevant information that is not reflected in stock prices.

Analysis of Reports on Observational Studies Published in the Korean Journal of Women Health Nursing based on the STROBE Guideline (여성건강간호학회지에 게재된 조사연구 보고 분석: STROBE 지침에 근거하여)

  • Kim, Sue;Oh, Hyun-Ei;Song, Ju-Eun;Kim, Myounghee;Ahn, Sukhee;Lee, Eun-Joo;Jun, Eun-Mi;Cheon, Sukhee
    • Women's Health Nursing
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    • v.20 no.4
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    • pp.287-296
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    • 2014
  • Purpose: The purpose of this study was to analyze the quality of reports on observational studies published in the Korean Journal of Women Health Nursing (KJWHN). Methods: Forty-six studies using cross-sectional designs published in KJWHN from January 2011 to June 2013 were selected for analysis. Selected articles were reviewed and evaluated by three reviewers using the 22 items of the Strengthening the Reporting of Observational studies in Epidemiology (STROBE) statement. As some of 22 items had more than one check point, further broken down, 34 checklist items were used for analysis. Results: Overall, the reviewed studies provided sufficient descriptions for many STROBE items. Seven of the 34 items were found to be not applicable, and 15 of the remaining 27 items (55.5%) were evaluated as 'sufficient' in reporting. Only one study included a flow diagram illustrating participation and this lack of flow diagram was the weakest area of reporting in this review. Conclusion: Clearer reporting of cross-sectional studies can be attained by attention to vulnerable areas of reporting, such as including a flow diagram of participants, descriptions of sources of bias and reason for non-participation, and describing limitations of the study. Issues regarding the application of STROBE statement items should be actively discussed in order to aid future revision and clarification of items included in STROBE statement.

New Schizophrenia Patterns on Esterel caused by Control/Data Signals (제어 및 데이터 신호에 의한 Esterel에서의 새로운 회로 중복사용 문제)

  • Yun, Jeong-Han;Kim, Chul-Joo;Kim, Seong-Gun;Choe, Kwang-Moo;Han, Tai-Sook
    • Journal of KIISE:Software and Applications
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    • v.37 no.4
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    • pp.311-316
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    • 2010
  • Esterel is an imperative synchronous language that is used to develop memories, cache controllers, bus interfaces, and so on. An Esterel statement is called schizophrenic if it is executed more than once in an instant. A schizophrenic statement may cause problems when it is translated to hardware circuits; a circuit performs more than one reaction in a clock. Previous works claim that only local signal declarations and parallel statements may cause schizophrenic problems. However, control signals produced by a trap statement or data signals used by emit statements can cause schizophrenia. They are new schizophrenic patterns. Especially, schizophrenic problems caused by emit statements cannot be solved by a loop unrolling technique that is the key idea of previous curing techniques for schizophrenic problems. In this paper, we introduce and define the two schizophrenic problems.

Income Statement Analysis and Developing the Guidelines of Meal-pricing and Facilities Investment Cost in Contract-Managed High School Foodservice in Seoul (서울시내 고등학교 위탁급식의 재무성과 분석을 통한 급식비 및 투자비의 적정 수준 산정)

  • 양일선;현성원;김현아;신서영;조미나;박수연;차진아;이보숙
    • Journal of Nutrition and Health
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    • v.36 no.5
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    • pp.528-535
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    • 2003
  • The purposes of this study were: 1) to investigate the operational and financial characteristics of contract-managed high school food services in Seoul, 2) to analyze the financial performance of high school food services 3) to develop guidelines for meal pricing and facilities investment costs. From Oct to Nov 2001, questionnaires were mailed to 249 high schools that were managed by contract food service companies. A 40.2% response rate was recorded. The results of this study were as follows: 1. Student enrollment in high schools run by contract-managed food services was 1,518, with a 68.5% participation rate in the school lunch program. The average meal price was 2,141 won. 2. Based on the income statement analysis, average total sales were 410,440,504 won and average net profit was 16,098,558 won. 3. The optimum food cost per meal was 1,200-1,300 won per meal, calculating using the methods of conversion factor, RDA (Recommended Daily Allowance), and nutrient exchange unit. 4. Guidelines for meal pricing were developed using the modified actual pricing method based on facilities investment cost, number of meals and food cost. The ratio of labor cost, general management expenses and ordinary profit were adopted from the schools with liability. The food cost, depreciation and interest cost were calculated based on unit meal. 5. The guideline for facilities investment was developed based on the number of meals, meal price and food cost. The guideline included the maximum facilities investment cost paid by the contract food service management company. (Korean J Nutrition 36(5): 528∼535, 2003)