• 제목/요약/키워드: Financial Statement Analysis

검색결과 80건 처리시간 0.019초

DEA와 BSC 기법을 이용한 조직 효율성 비교에 대한 연구 (A Combined DEA-BSC methodology for evaluating organizational efficiency)

  • 김범수;장태우;신기태;박진우
    • 산업경영시스템학회지
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    • 제28권2호
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    • pp.18-26
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    • 2005
  • The balanced scorecard(BSC) overcomes the limit of traditional financial statement that focuses on only financial performance. BSC is widely used in government and industry because of the clear representation of the relationship and logic between the key performance indicators(KPI) of 4 perspectives - financial, customer, internal process, and loaming and growth. However, traditional BSC does not consider evaluating the difference between the results measured by BSC. By using relatively small number of inputs and outputs In comparing decision-making units, data envelopment analysis(DEA) can aggregate multiple performance measures. In this research, we propose a methodology named CDB(Combined DEA and BSC) to evaluate the performance of organization considering financial and non-financial perspectives. CDB uses KPI of cause-and-effect relationship on BSC as inputs and outputs of DEA method. In addition, this research proposes a method of converting the KPI of BSC to the input and output variables of DEA, and enhancing discrimination power using the limit number of variables. We illustrate the methodology by giving an example of evaluating aquisition-unit efficiency in a supply chain.

Financial Management Information System, Human Resource Competency and Financial Statement Accountability: A Case Study in Indonesia

  • SAPUTRA, Komang Adi Kurniawan;SUBROTO, Bambang;RAHMAN, Aulia Fuad;SARASWATI, Erwin
    • The Journal of Asian Finance, Economics and Business
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    • 제8권5호
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    • pp.277-285
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    • 2021
  • This study aims to examine the effect of variables of financial management information systems, organizational culture, and human resource competence on the accountability of village government financial reporting. The sample was 65 villages in the two districts using a simple random sampling technique. To analyze the data of this research, multiple regression analysis was conducted. The results showed that organizational culture as a differentiator in the two districts, namely financial management information systems, organizational culture, and human resource competence has a significant positive effect on accountability in preparing village government financial reports in Tabanan Regency. Meanwhile, organizational culture does not have a significant influence in Badung Regency, this is because each village government has a different work culture. In the Tabanan regency, we use local culture as the basis for organizational culture, while in the Badung regency it can be examined between organizational culture and it is carried out differently, which indicates that no one organizational culture type is superior to other types. This means that all types can move in line with and hand-in-hand based on how and when organizational goals are to be realized.

장단기 앙상블 모델과 이미지를 활용한 주가예측 향상 알고리즘 : 석유화학기업을 중심으로 (Stock Price Prediction Improvement Algorithm Using Long-Short Term Ensemble and Chart Images: Focusing on the Petrochemical Industry)

  • 방은지;변희용;조재민
    • 한국멀티미디어학회논문지
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    • 제25권2호
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    • pp.157-165
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    • 2022
  • As the stock market is affected by various circumstances including economic and political variables, predicting the stock market is considered a still open problem. When combined with corporate financial statement data analysis, which is used as fundamental analysis, and technical analysis with a short data generation cycle, there is a problem that the time domain does not match. Our proposed method, LSTE the operating profit and market outlook of a petrochemical company and estimates the sales and operating profit of the company, it was possible to solve the above-mentioned problems and improve the accuracy of stock price prediction. Extensive experiments on real-world stock data show that our method outperforms the 8.58% relative improvements on average w.r.t. accuracy.

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

  • 최성운
    • 대한안전경영과학회지
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    • 제15권4호
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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.

A Nexus Between Employee Engagement and Goal Orientation to Employee Competence and Performance: Evidence from Indonesia

  • SIREGAR, Budi Alamsyah;SUMA, Dewi
    • The Journal of Asian Finance, Economics and Business
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    • 제9권10호
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    • pp.147-158
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    • 2022
  • This study examines the relationship between employee engagement and goal orientation toward competence. In addition, it also examines the relationship between competence and employee performance in financial institutions in Indonesia. Questionnaires were distributed to several employees who work at financial institutions in Aceh, North Sumatra, and Riau. The basis for selecting the research object was that most financial institutions have similar business products. The similarities are the marketing of home loan ownership products and multipurpose investments. The three study regions are located in western Indonesia's most central provinces and have a significant amount of trade. The sampling technique used was purposive sampling based on specific criteria for the respondents. 275 employees made up the research sample, and partial least squares data analysis methods were applied. In data analysis, initial testing was carried out on the components of the research statement items to see their validity and reliability. The results of this study indicate that employee engagement behavior can improve employee performance, which improves financial institutions' organizational performance. The study's findings offer suggestions for policies and guidelines that will encourage productive work behavior among employees and boost organizational performance. The fact that employees must think and act creatively to develop their competence and become superior employees is another distinctive feature of this research.

Tax Planning, Financial Constraints and Investment Management: Empirical Evidence from Pakistan

  • BUTT, Muhammad Naveed;MALIK, Qaisar Ali;WAHEED, Abdul;TABASSUM, Aftab Hussain
    • The Journal of Asian Finance, Economics and Business
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    • 제8권12호
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    • pp.129-139
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    • 2021
  • The aim of this study is to provide insight into tax avoidance through planning and management, and its investment consequences in financially constrained and unconstrained firms, as well as to empirically examine the interrelationships between the variables studied. Data was extracted from the financial statement analysis of non-financial companies listed on the Pakistan stock exchange (PSX) published by the State Bank of Pakistan, covering ten major manufacturing sectors. KZ index and WW index are used to identify financially constrained and unconstrained firms. Tax avoidance is measured by using GETR and LETR. All the equations are estimated through panel data regression models using common, fixed, and random effects. The empirical investigation of the role of tax avoidance in all firms collectively and constrained and unconstrained firms separately showed that the tax avoidance behavior of these firms is translated into investments by these firms. The study will help policymakers in strategy formulation and implementation related to tax planning and investment decisions in constrained and unconstrained firms to overcome their financial constraints and to optimize their investment decisions for value maximization. This will substantially increase the investment in the country by providing growth opportunities and lowering the tax rates.

THE FUZZY CLUSTERING ALGORITHM AND SELF-ORGANIZING NEURAL NETWORKS TO IDENTIFY POTENTIALLY FAILING BANKS

  • 이기동
    • 한국디지털정책학회:학술대회논문집
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    • 한국디지털정책학회 2005년도 춘계학술대회
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    • pp.485-493
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    • 2005
  • Using 1991 FDIC financial statement data, we develop fuzzy clusters of the data set. We also identify the distinctive characteristics of the fuzzy clustering algorithm and compare the closest hard-partitioning result of the fuzzy clustering algorithm with the outcomes of two self-organizing neural networks. When nine clusters are used, our analysis shows that the fuzzy clustering method distinctly groups failed and extreme performance banks from control (healthy) banks. The experimental results also show that the fuzzy clustering method and the self-organizing neural networks are promising tools in identifying potentially failing banks.

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컴퓨터 SPREAD SHEET 를 이용한 경영분석 방법 연구 (The Financial Statement Analysis using Spread Sheet)

  • 이덕수;박노국;송문익
    • 산업경영시스템학회지
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    • 제17권32호
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    • pp.127-135
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    • 1994
  • Most of companies, whether they are big or not, want to analyze their business results of some periods. For this, it's common for small and medium companies which don't have ability to do it to invite experts from outside. In this paper, we have developed a computer programming techniques which can provide easy access and save labour using spread sheet utility.

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퍼지인식도를 이용한 웹기반 조직지식획득에 관한 연구 (Web-Based Organizational Memory Acquisition by Using a Fuzzy Cognitive Map)

  • 이건창
    • 지능정보연구
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    • 제5권2호
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    • pp.79-97
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    • 1999
  • Knowledge management (KM) is emerging as a robust management mechanism with which an organization can remain highly intelligent and competitive in a turbulent market. Organization knowledge is at the heart of KM success. As a vehicle of acquiring organizational knowledge in a distributed decision-making environment, we applied a fuzzy cognitive map (FMM) technique and proved its effectiveness in a distributed knowledge management environment. Our approach was applied to the financial statement analysis problem, yielding a robust result.

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SVM 기반의 재무 정보를 이용한 주가 예측 (SVM based Stock Price Forecasting Using Financial Statements)

  • 허준영;양진용
    • 정보과학회 컴퓨팅의 실제 논문지
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    • 제21권3호
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    • pp.167-172
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    • 2015
  • 기계 학습은 컴퓨터를 학습시켜 분류나 예측에 사용되는 기술이다. 그 중 SVM은 빠르고 신뢰할 만한 기계 학습 방법으로 분류나 예측에 널리 사용되고 있다. 본 논문에서는 재무 정보를 기반으로 SVM을 이용하여 주식 가격의 예측력을 검증한다. 이를 통해 회사의 내재 가치를 나타내는 재무정보가 주식 가격 예측에 얼마나 효과적인지를 평가할 수 있다. 회사 재무 정보를 SVM의 입력으로 하여 주가의 상승이나 하락 여부를 예측한다. 다른 기법과의 비교를 위해 전문가 점수와 기계 학습방법인 인공신경망, 결정트리, 적응형부스팅을 통한 예측 결과와 비교하였다. 비교 결과 SVM의 성능이 실행 시간이나 예측력면에서 모두 우수하였다.