• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.312-318
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• 2017

This study calculated the cash flow using the financial information by fiscal year for 25 general hospitals and 23 hospitals, and analyzed the relationship between cash flow and net working capital. The analysis results showed that 73.3% of general hospitals and 83.3% of hospitals did not secure funds required for operating activities by fiscal year. The cash flow types that affect net working capital were expenses not involving cash outflows and changes in borrowings in general hospitals, and expenses not involving cash outflows and income not involving cash inflows and changes in borrowings in hospitals. However, in case of shortage of funds required for operating activities, at general hospital, due to expenses not involving cash outflows being high and income not involving cash inflows being low and resulting in increased borrowing, at hospital, due to expenses not involving cash outflows being high and resulting in increased borrowing. Therefore, for the stability of cash flow in management activities, the adequacy and relevance of the expenses not involving cash outflows need to be reviewed, and it will be necessary to review the appropriate internal policy measures to systematically and rationally manage cash flow in consideration of cash flows.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.2
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• pp.99-106
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• 2020

CEOs Overconfidence can bring potentially risky early decisions to businesses, along with large enterprise free cash flow that can bring different investment decisions with CEOs Overconfidence. Especially in the context of Vietnamese enterprises, CEOs are often influenced by behavioral psychology about overconfidence in investment decisions (due to individual cultural characteristics as well as operating financial markets also depend on many factors outside the market). Therefore, the authors study the impact of overconfidence and cash flow on investment in Vietnamese to find the internal relationship between these three factors in the financial environment in Vietnam. With 480 companies listed on the Vietnam Stock Exchange from 2014 to 2018 (companies have continuous reports), the regression analysis results with panel data (FEM, GLS models, correction of robust and GMM dealing with endogenous problems) have shown Overconfidence has a positive impact on investment. At the same time, the results also indicated that enterprises with overconfident CEOs and large cash flows tend to invest less than enterprises with low cash flow. The results of this study have shown the behavioral behavior of CEOs in Vietnamese enterprises that exist under both prospect theory and effective market theory.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.11
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• pp.956-962
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• 2005

This paper presents an integrated analysis of production and financing decisions. We assume that a cash storage unit is installed to manage the cash flows related with production activities such as raw material procurement, process operating setup, Inventory holding cost and finished product sales. Temporarily financial investments are allowed for more profit. The production plant is modeled by the Batch-Storage Network with Recycle Streams in Yi and Reklaitis (2003). The objective function of the optimization is minimizing the opportunity costs of annualized capital investment and cash/material inventory while maximizing stockholder's benefit. No depletion of all the material and cash storage units is major constraints of the optimization. A novel production and inventory analysis formulation, the PSW(Periodic Square Wave) model, provides useful expressions for the upper/lower bounds and average level of the cash and material inventory holdups. The expressions for the Kuhn-Tucker conditions of the optimization problem can be reduced to two subproblems and analytical lot sizing equations under a mild assumption about the cash flow pattern of stockholder's dividend. The first subproblem is a separable concave minimization network flow problem whose solution yields the average material flow rates through the networks. The second subproblem determines the decisions about financial Investment. Finally, production and financial transaction lot sizes and startup times can be determined by analytical expressions as far as the average flow rates are calculated. The optimal production lot and storage sizes considering financial factors are smaller than those without such consideration. An illustrative example is presented to demonstrate the results obtainable using this approach.

• Health Policy and Management
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• v.15 no.4
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• pp.81-109
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• 2005

According to many recent studies suggesting that cash flow analysis method tends to be more effective than traditional financial index analysis method to predict corporate bankruptcy, this study applies the cash flow analysis method to hospital business to identify the significant variables which can distinguish between superior hospitals and bankruptcy hospitals. The author analyzed recent 3 years, i.e. from the year of 2000 to the year of 2002, financial statements of 31 bankrupt hospitals In 2003, and the same number of superior hospitals through using Multiple Discriminant Analysis and Logit Analysis. The results are belows; First, the study releases that Logit Analysis is more likely to be effective than Multiple Discriminant Analysis. Second, this research also shows that traditional financial index analysis method is more superior compare to cash flow analysis method for hospital bankruptcy predict model. Finally, this study suggest that the significant variables, which can distinguish superior hospitals from bankrupt hospitals, are Operating/Current Liabilities$(Y_2)$, CFO/Equity$(Y_5)$ for cash flow analysis method and Net Worth to Total Assets Ratio$(X_1)$, Quick Ratio $(X_3)$, Return on Assets$(X_6)$, Growth Rate of Patient Revenues$(X_{16})$ for traditional financial index analysis method.

• Journal of Korea Port Economic Association
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• v.30 no.4
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• pp.131-149
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• 2014

The objective of this study is to describe and determine how and to what extent size of firm, operating vessels and interest cost, leverage, debit maturity, growth opportunity and cash flow affect the cash holdings of Korean shipping companies. A sample of 38 Korean shipping firms for a period of 9 years(from 2005 to 2013) was selected. In panel data regression, this study finds that cash holdings are negatively affected by firm size, operating vessel size and debit maturity, and positively affected by volume of interest costs. In firm's group of relatively large volume of operating vessel, it's cash holdings are affected by debit maturity, cash flows and growth opportunity but in firm's group of small volume of it, interest cost, debit maturity and operating vessel's size are related with cash holdings. It proved that determinants of cash holdings in a high interest costing group are size of operating vessel, interest cost and debt maturity. On the other hand, debit maturity, growth opportunity, firm size and extent volume of vessels are associated with cash holdings in relatively row interest costing group.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.157-176
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• 2018

The purpose of this research is to develop a detection model for companies designated as administrative issue in KOSDAQ market using financial data. Administration issue designates the companies with high potential for delisting, which gives them time to overcome the reasons for the delisting under certain restrictions of the Korean stock market. It acts as an alarm to inform investors and market participants of which companies are likely to be delisted and warns them to make safe investments. Despite this importance, there are relatively few studies on administration issues prediction model in comparison with the lots of studies on bankruptcy prediction model. Therefore, this study develops and verifies the detection model of the companies designated as administrative issue using financial data of KOSDAQ companies. In this study, logistic regression and decision tree are proposed as the data mining models for detecting administrative issues. According to the results of the analysis, the logistic regression model predicted the companies designated as administrative issue using three variables - ROE(Earnings before tax), Cash flows/Shareholder's equity, and Asset turnover ratio, and its overall accuracy was 86% for the validation dataset. The decision tree (Classification and Regression Trees, CART) model applied the classification rules using Cash flows/Total assets and ROA(Net income), and the overall accuracy reached 87%. Implications of the financial indictors selected in our logistic regression and decision tree models are as follows. First, ROE(Earnings before tax) in the logistic detection model shows the profit and loss of the business segment that will continue without including the revenue and expenses of the discontinued business. Therefore, the weakening of the variable means that the competitiveness of the core business is weakened. If a large part of the profits is generated from one-off profit, it is very likely that the deterioration of business management is further intensified. As the ROE of a KOSDAQ company decreases significantly, it is highly likely that the company can be delisted. Second, cash flows to shareholder's equity represents that the firm's ability to generate cash flow under the condition that the financial condition of the subsidiary company is excluded. In other words, the weakening of the management capacity of the parent company, excluding the subsidiary's competence, can be a main reason for the increase of the possibility of administrative issue designation. Third, low asset turnover ratio means that current assets and non-current assets are ineffectively used by corporation, or that asset investment by corporation is excessive. If the asset turnover ratio of a KOSDAQ-listed company decreases, it is necessary to examine in detail corporate activities from various perspectives such as weakening sales or increasing or decreasing inventories of company. Cash flow / total assets, a variable selected by the decision tree detection model, is a key indicator of the company's cash condition and its ability to generate cash from operating activities. Cash flow indicates whether a firm can perform its main activities(maintaining its operating ability, repaying debts, paying dividends and making new investments) without relying on external financial resources. Therefore, if the index of the variable is negative(-), it indicates the possibility that a company has serious problems in business activities. If the cash flow from operating activities of a specific company is smaller than the net profit, it means that the net profit has not been cashed, indicating that there is a serious problem in managing the trade receivables and inventory assets of the company. Therefore, it can be understood that as the cash flows / total assets decrease, the probability of administrative issue designation and the probability of delisting are increased. In summary, the logistic regression-based detection model in this study was found to be affected by the company's financial activities including ROE(Earnings before tax). However, decision tree-based detection model predicts the designation based on the cash flows of the company.

• Journal of Korean Society of Forest Science
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• v.109 no.1
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• pp.72-80
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• 2020

Two strategies for calculating economic feasibility are the machine rate and cash-flow methods. This study used the cash-flow method to evaluate the economic feasibility of the HAM300 yarding operation for extracting tree length logs in Larix kaempferi forest stands. In financial analysis based on 7-year cash-flow, the net present value and pay-back period method were used. We analyzed two scenarios: operating opportunities (50, 100, 150, and 200 days per year) and productivity change yield (7.5 and 10.5 ㎥/scheduled machine hour: SMH). The analysis indicated that high rates of return on extraction activity investment can be achieved when machines are used for >150 days per year. In addition, improved productivity (10.5 ㎥/SMH) increased financial feasibility compared to current productivity (7.5 ㎥/SMH) when machines were operated for 100 days per year. These results suggest that the appropriateness of HAM300 harvesting depends on the number of annual operating days and productivity.

• Journal of the Korea Society of Computer and Information
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• v.4 no.2
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• pp.155-163
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• 1999

This study is intended to analyze what trend the EVA technique recently actively studied shows according to the financial structure of the firm. As a result of analysis, it was found that the firm with the entire sum of its capitals depleted showed the negative value in both the EVA on the basis of operating profit and the EVA on the basis of cash flow from 5 years before its capitals were depleted. Especially, its EVA showed the negative value more strongly than the cash flow accruing by business activity. In analyzing the EVA of the firm with more than 1,500% of the debt to equity ratio, its EVA also showed the negative value from 5 years ago. But the firm with the good financial structure of the debt to equity of less than 35% showed the positive value in the EVA on the basis of its cash flow from 5 years ago. As can be seen from this result, the fact is that the firm can survive only when it raises its EVA through its structural change(re-engineering) and business innovation. Therefore, firms need to seek to turn their business philosophy or policy into the promotion of business innovation and business management emphasizing technology in order to improve their EVA indicators.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.510-521
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• 2020

Recently, transparency in accounting for medical institutions has been emphasized. However, due to the current system problems and structural limitations, there is a lack of diagnosis on the financial status of domestic hospitals. This study is based on the financial statements per 100 beds of 374 including domestic hospital level to tertiary hospital, and analyzed the Free Cash Flow(FCF) by hospital size from the perspective of Free Cash Flow Hypothesis. After deriving Operating Cash Flow(OCF) through the profit or loss statement of medical institutions, FCFs were analyzed through the prior and current financial statements and OCFs, and the correlation between financial variables was confirmed. According to the analysis, first, hospitals with 160 to 299 beds and 300 beds or more have relatively high FCFs. Second, certified tertiary hospitals, hospitals with less than 160 beds, and general hospitals have negative(-) FCFs. Thus, there's a need to narrow the FCF gap based on the size of the hospital, maintaining an appropriate level of FCF. This study is meaningful in that it was the first FCF analysis based on hospital size. This study is also expected to offer an informative resources in setting differentiated strategies according to the size of medical institutions when establishing new accounting policies in the future.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.643-650
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• 2005

The object of this study is the development of a measuring framework for supply chain flexibility. Prior to treat supply chain flexibility, time flexibility, quantity flexibility, and cash-flow flexibility for each company are newly suggested. Especially, all developed measures can deal with the monetary point of view through various cost functions. Then weights of time flexibility, quantity flexibility, cash-flow flexibility are determined to find the effect of the level of flexibility in the supply chain. This is based on the relationship between the ratio of profit to revenue and value of three developed flexibility measures. To find the level of weight for each flexibility measure, neural network theory is used. Then the forecasting of the ratio of profit to revenue for all companies in the next period can be available. Therefore, all companies in the supply chain can control their operating processes to improve flexibility.