• 산경연구논집
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• 제9권4호
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• pp.19-26
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• 2018

Purpose - This study measures how competitive securities broker-dealers are in the Korean financial markets. It aims to test whether the markets are perfectly competitive or monopolistic since the global financial crisis of 2008. Research design, data, and methodology - We apply the method developed by Panzar and Rosse (1987), H-statistics, which offers an index for the competitiveness as well as statistical tests. The dataset in use is retrieved mainly from the quarterly statements of the financial services companies by the Financial Statistics Information System of the Financial Supervisory Service. General information on officers and employees is utilized in addition to balance sheets and income statements of securities companies. Results - H-statistics for 2009-2015 is about 0.7 that is a robust estimate regardless of model specifications such as full trans-log, partial trans-log, and Cobb-Douglas regression equations. H-statistics for each year is also computed in similar ways in that it varies between 0.3 and 0.9. Conclusions - Since the global financial crisis, H-statistics concludes that securities broker-dealer markets in Korea is neither perfectly competitive nor monopolistic. It evidences that the markets are rather monopolistically competitive. The trend in annual H-statistics leads to the same conclusion but the result is not such stable that overall H-statistics implies.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.1163-1169
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• 2021

This study aims to obtain empirical evidence regarding the effect of the fraud pentagon theory on financial statement fraud. The novelty of this study is the use of factor analysis to consolidate the five elements of the fraud pentagon into just one factor, which, to the knowledge of the researcher, no one else has done to research the effect of pentagon fraud on financial statement fraud. This study uses both agency theory and fraud pentagon theory. The population of this study consists of state-owned companies listed on the Indonesia Stock Exchange. The research period in this study is from 2014 to 2019. The data used in this study is secondary data obtained from the company's annual financial statements. A purposive sampling technique was used to determine the research sample. The selected companies total 20. Factor analysis and simple linear regression analysis method were used as research the methods. Based on the research results, it was found that the fraud pentagon theory had a positive effect on the financial statement fraud of state-owned companies listed on the Indonesia Stock Exchange. High level of the pentagon fraud on a company leads to a higher indication of financial statement fraud.

• 한국경영과학회지
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• 제28권3호
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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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권12호
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• pp.3218-3241
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• 2023

Financial fraud undermines the sustainable development of financial markets. Financial statements can be regarded as the key source of information to obtain the operating conditions of listed companies. Current research focuses more on mining financial digital data instead of looking into text data. However, text data can reveal emotional information, which is an important basis for detecting financial fraud. The audit opinion of the financial statement is especially the fair opinion of a certified public accountant on the quality of enterprise financial reports. Therefore, this research was carried out by using the data features of 4,153 listed companies' financial annual reports and audits of text opinions in the past six years, and the paper puts forward a financial fraud detection model integrating audit opinions. First, the financial data index database and audit opinion text database were built. Second, digitized audit opinions with deep learning Bert model was employed. Finally, both the extracted audit numerical characteristics and the financial numerical indicators were used as the training data of the LightGBM model. What is worth paying attention to is that the imbalanced distribution of sample labels is also one of the focuses of financial fraud research. To solve this problem, data enhancement and Focal Loss feature learning functions were used in data processing and model training respectively. The experimental results show that compared with the conventional financial fraud detection model, the performance of the proposed model is improved greatly, with Area Under the Curve (AUC) and Accuracy reaching 81.42% and 78.15%, respectively.

• 한국조리학회지
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• 제15권4호
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• pp.212-226
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• 2009

본 연구는 금융감독원 전자공시시스템에 공시된 기업의 재무제표를 활용하여 외식 기업의 재무 비율과 경영 성과의 관계를 파악하고자 하였다. 재무 비율은 재무제표의 두 계정을 조합하여 비율을 계산하여 경영 성과를 제시하는 지표로써, 경영자와 채권자 그리고 투자자는 해당 기업의 재무제표를 평가하기 위한 방법으로 비율 분석을 각기 다른 목적으로 사용하고 있다. 재무 비율과 경영 성과에 대한 분석에 의하면, 상장된 음식료업종 기업은 이자 보상 배율을 제외한 전 부분에서 상관 관계를 보였지만, 외식 기업은 안정성 비율과 성장성비율에 한정해서 상관 관계를 보여주었다. 이와 같은 차이에 근거하여 외식 기업의 경영자는 부채와 자산에 대한 관리와 더불어 비용에 대한 효과적이고 계획적인 관리를 통하여 경영 성과를 개선하여야 할 것이다.

• 가족자원경영과 정책
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• 제16권1호
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• pp.123-148
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• 2012

The main objective of this study was to investigate how people prepare for old age by looking at financial statements from single-person households in Gyeonggi province; the policy implications regarding low fertility and population aging are considered. The subjects were members of 600 households who were aged 26 to 44 years old and not married. The data were analyzed by t-test, ANOVA, and dichotomous logistic regression using SPSS WIN 12.0. Respondents pointed out that financial problems are the greatest challenges for those facing old age in single-person households; they said that a stable job is the most important factor for secure living. About 57% of household residents responded that they have prepared for retirement, and a majority of them said they hoped to spend their elderly years with a marriage partner. The financial statements from single-person households were inferior to those from other types of households. The assets of single-person household members were less than those of other households. Only 10.5% of respondents have owned homes. The study discusses policy implications for those who want marriage and for those who don't want it. For those who want marriage, job-seeking support was proposed, and for the others, tax deductions and family programs for single-person households were proposed.

• Food Quality and Culture
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• 제1권1호
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• pp.58-61
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• 2007

The purpose of this study was to develop an effective cost control model for university foodservice operations by analyzing student satisfaction, as well as foodservice income statements for operational characteristics. The specific objectives were to examine the satisfaction of students for various foodservice quality dimensions, to determine the financial activities performed in foodservice operations by operational type, to examine their income statement data, and lastly, to compare the student satisfaction for foodservice quality with the financial data of the income statements. A total of 545 students from one university answered a satisfaction survey. The one-year income statements of three union foodservices (self-operated, small-scale contracted, and large-scale contracted) at the same university were analyzed. The results showed that the self-operated union foodservice had lower student satisfaction scores and higher food and labor cost ratios. The small-scale contract management foodservice data indicated the highest student satisfaction scores and the lowest food and labor cost ratios. The large-scale contract management foodservice data showed medium scores when comparing the three union foodservice operations. Overall, by comparing the satisfaction scores and operational profits, the small-scale union foodservices showed the highest satisfaction scores and profit.

• 지식경영연구
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• 제21권2호
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• pp.177-196
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• 2020

Since the adoption of K-IFRS(Korean International Financial Reporting Standards), the amount of financial footnotes has been increased. However, due to the stereotypical phrase and the lack of conciseness, deriving the core information from footnotes is not really easy yet. To propose a solution for this problem, this study tried financial footnote analysis for financial ratio predictions based on text-mining techniques. Using the financial statements data from 2013 to 2018, we tried to predict the earning per share (EPS) of the following quarter. We found that measured prediction errors were significantly reduced when text-mined footnotes data were jointly used. We believe this result came from the fact that discretionary financial figures, which were hardly predicted with quantitative financial data, were more correlated with footnotes texts.

• 산업경영시스템학회지
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• 제41권2호
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• pp.47-55
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• 2018

The Korean Ministry of Education (MOE) required cash flow statements, instead of fund statements, as a component of the financial statements of the Industry-Academic Cooperation Foundations (IACF) when it revised IACF accounting rules in 2012. While the fund statements were aligned its accounts to the operating statements' accounts level, the newly adopted cash flow statements' accounts retreated to two levels higher than those of the operating statements. It may be resulted from the consideration that IACFs' burden of preparing cash flow statements especially in direct method. To help IACFs prepare the cash flow statements, MOE's guidance on IACF accounting rules introduced cash flow statement preparation method and presented a practical example, but it did not check whether the accounts of the cash flow statement were reconciled to the accounts of corresponding balance sheet and operating statement. That means that the guidance still lacks how to assure it was accurately prepared. Our study proposed cash flow statement preparation using reconciliation method which reconciles cash flow statement accounts' amounts to balance sheet and operating statement accounts' amounts with integrity checking and also provided a practical example by using the same case in MOE's guidance on IACF accounting rules to help IACF accounting personnel to prepare a cash flow statement efficiently.

• 디지털융복합연구
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• 제9권2호
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• pp.33-40
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• 2011

국제회계기준의 도입이 기존 시스템에 어떠한 영향을 미칠지를 정확히 예측하기는 어렵다. 하지만 치밀하게 준비하고, 예상할 수 있는 문제점을 고려한 상대에서 도입이 결정된다면 각 영역별로 발생 가능한 부작용을 최소화 할 수 있을 것이다. 본 논문의 목적은 국제회계기준의 도입에 따라 큰 변화가 예상되는 연결재무제표시스템의 설계 및 구축방안을 제시하는데 있다. 이를 위하여 다음과 같은 다섯 가지 영영별 연결재무제표시스템 구축 방안을 제안하였다. 특수목적기업의 연결 관련 영역, 내부거래제거 영역, 미실현손익의 제거 영역, 투자자본 상계 영역, 기타 영역으로 연결주식의 작성과 통합 CoA 설정과 관련한 방안을 제시하였다.