• Title/Summary/Keyword: operating cash flows

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Influence of Overconfidence and Cash Flow on Investment in Vietnam

  • NGUYEN, Duy Van;DANG, Duong Quy;PHAM, Giang Hoang;DO, Du Kim
    • 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.

Uncertainty, View, and Hedging: Optimal Choice of Instrument and Strike for Value Maximization

  • Kwon, Oh-Sang
    • Management Science and Financial Engineering
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    • v.17 no.2
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    • pp.99-129
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    • 2011
  • This paper analytically studies how to choose hedging instrument for firms with steady operating cash flows from value maximization perspective. I derive a formula to determine option's optimal strike that makes hedged cash flow have the best monetary payoff given a hedger's view on the underlying asset. I find that not only the expected mean but also the expected standard deviation of the underlying asset in relation to the forward price and the implied volatility play a crucial role in making optimal hedging decision. Higher moments play a certain part in hedging decision but to a lesser degree.

Impact of Debt ratio on Earnings Management after Global Financial Crisis - Comparative Study of Korea and Japan - (글로벌 금융위기 이후 기업의 부채비율이 이익조정에 미치는 영향 - 한·일 비교연구 -)

  • Noh, Gil-Kwan
    • Journal of the Korea Convergence Society
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    • v.10 no.12
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    • pp.299-305
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    • 2019
  • This study analyzed the relationship between the debt ratios of Korean and Japanese manufacturing firms with accruals and actual earnings managements after the global financial crisis. This study was conducted on Korean and Japanese firms from 2008 to 2015. As a result, the Korean firms, the higher (lower) debt ratio is, more up(down)side earnings management using discretionary accruals and operating cash flow. In contrast, the Japanese firms found that the higher(lower) the debt ratio is, more up(down)side through its actual activities (operating cash flows, manufacturing costs, discretionary costs) rather than accruals. This study establishes the academic basis for the decision-making of Korean-Japanese firmss by using the sample of each country to check what kind of decision-makers are making earnings managements at the present time when the relationship between Korea and Japan has suffered due to export restrictions. It is meaningful in that it was.

Cost Estimating and Marginal Analysis for Alternatives (대체안의 원가견적과 한계분석)

  • 이근희;박상민
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.12 no.19
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    • pp.67-72
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    • 1989
  • This paper concerns with the decision maker has the job of forecasting capital investments and operating expenses to aid the decision making in choosing and evaluating present annual and future alternatives. The cost estimating function eventually analysis, evaluates and choose the alternatives. And also, the marginal analysis performed originally from a preliminary design of some sort, and eventually plans are made to investigate investment possibilities. This paper provide the discounted net cash flows and the present, annual and future worth methods. In despite of any choice for an analytical methods, there remains the problems of predicting and assessments certain future events. Therefore, these models dealing with the optimal plant sizing, equipments replacement, and lease or buy will be discussed.

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A study on the construction of a financial feasibility evaluation model for private investment projects in the port sector using system dynamics (시스템다이내믹스를 활용한 항만분야 민간투자사업 재무적타당성 평가 모형 구축 연구)

  • Cheon, Minsoo;Jeon, Junwoo
    • Journal of Korea Port Economic Association
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    • v.37 no.2
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    • pp.1-17
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    • 2021
  • Private investment projects have the characteristic of generating profits for a long period of 30 to 40 years, and fluctuations in profits and costs occur over time, so the interaction of variables over time rather than statistical models or discounted cash flows If the system dynamics technique, which enables simulation of the system, is used, it is considered that meaningful simulation results can be derived for internal and external variables. In other words, by establishing a financial feasibility comparison/verification model based on system dynamics for private investment projects in the port sector that have not been attempted before, we compare the differences with the existing cash flow discount method, macroeconomic factors, operating period, social discount rate We will conduct a differentiated study that has not been tried before by simulating how the interrelationships of such variables affect the change in financial performance.

Evaluating Distress Prediction Models for Food Service Franchise Industry (외식프랜차이즈기업 부실예측모형 예측력 평가)

  • KIM, Si-Joong
    • Journal of Distribution Science
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    • v.17 no.11
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    • pp.73-79
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    • 2019
  • Purpose: The purpose of this study was evaluated to compare the predictive power of distress prediction models by using discriminant analysis method and logit analysis method for food service franchise industry in Korea. Research design, data and methodology: Forty-six food service franchise industry with high sales volume in the 2017 were selected as the sample food service franchise industry for analysis. The fourteen financial ratios for analysis were calculated from the data in the 2017 statement of financial position and income statement of forty-six food service franchise industry in Korea. The fourteen financial ratios were used as sample data and analyzed by t-test. As a result seven statistically significant independent variables were chosen. The analysis method of the distress prediction model was performed by logit analysis and multiple discriminant analysis. Results: The difference between the average value of fourteen financial ratios of forty-six food service franchise industry was tested through t-test in order to extract variables that are classified as top-leveled and failure food service franchise industry among the financial ratios. As a result of the univariate test appears that the variables which differentiate the top-leveled food service franchise industry to failure food service industry are income to stockholders' equity, operating income to sales, current ratio, net income to assets, cash flows from operating activities, growth rate of operating income, and total assets turnover. The statistical significances of the seven financial ratio independent variables were also confirmed by logit analysis and discriminant analysis. Conclusions: The analysis results of the prediction accuracy of each distress prediction model in this study showed that the forecast accuracy of the prediction model by the discriminant analysis method was 84.8% and 89.1% by the logit analysis method, indicating that the logit analysis method has higher distress predictability than the discriminant analysis method. Comparing the previous distress prediction capability, which ranges from 75% to 85% by discriminant analysis and logit analysis, this study's prediction capacity, which is 84.8% in the discriminant analysis, and 89.1% in logit analysis, is found to belong to the range of previous study's prediction capacity range and is considered high number.

Evaluating the Investment in the Malaysian Construction Sector in the Long-run Using the Modified Internal Rate of Return: A Markov Chain Approach

  • SARSOUR, Wajeeh Mustafa;SABRI, Shamsul Rijal Muhammad
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.8
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    • pp.281-287
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    • 2020
  • In capital budgeting practices, investment project evaluations based on the net present value (NPV) and the internal rate of return (IRR) represent the traditional evaluation techniques. Compared with the traditional methods, the modified internal rate of return (MIRR) gives the opportunity to evaluate an investment in certain projet, while taking the changes in cash flows over time and issuing shares such as dividing shares, bonuses, and dividend for each end of the investment year into account. Therefore, this study aims to evaluate an investment in the Malaysian construction sector utilizing financial data for 39 public listed companies operating in the Malaysian construction sector over the period from Jan 1, 2007, to December 30, 2018, based on the MIRR method. Stochastic was studied in this study to estimate the estimated probability by applying the Markov chain model to the MIRR method where the transition matrix has two possible movements of either Good (G) or Bad (B). it is found that the long-run probability of getting a good investment is higher than the probability of getting a bad investment in the long-run, where were the probabilities of good and bad are 0.5119, 0.4881, respectively. Hence, investment in the Malaysian construction sector is recommended.

Evaluation of Distress Prediction Model for Food Service Industry in Korea : Using the Logit Analysis (국내 외식기업의 부실예측모형 평가 : 로짓분석을 적용하여)

  • Kim, Si-Joong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.11
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    • pp.151-156
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    • 2019
  • This study aims to develop a distress prediction model and to evaluate distress prediction power for the food services industry by using 2017 food service industry financial ratios. Samples were collected from 46 food service industries, and we extracted 14 financial ratios from them. The results show that, first, there are eight ratios (financial ratio, current ratio, operating income to sales, net income to assets, ratio of cash flows, income to stockholders' equity, rate of operating income, and total asset turnover) that can discriminate failures in food service industries and the top-level food service industries. Second, by using these eight financial ratios, the logit function classifies the top-level food service industries, and failures in the food service industry can be estimated by using logit analysis. The verification results as to accuracy in the estimated logit analysis indicate that the model's distress-prediction power is 89.1%.

Economic Evaluation Method Based on Rate of Return for Multiple Investment Alternatives (다수의 투자대안들에 대한 수익률 기준의 경제성 평가방법)

  • Kim, Jin Wook
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.42 no.1
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    • pp.137-142
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    • 2019
  • There are two methods for evaluating two or more mutually exclusive projects. One is a total investment approach and the other is an incremental investment approach. The former can rank projects by the criterion of the net present value, but the latter can't do it. An incremental investment approach is only possible when all pairwise alternatives are compared. Thus an incremental investment approach is superior in ranking them over an incremental investment approach. To do so, a principle of comparison must be established. Comparisons of profitability are reasonable when operating the same amount of investment over the same period of time. One principle is that all projects are invested in the largest of the projects. Another principle is that all projects are invested during the longest project life of the projects. In this paper, even if the principle is followed, it will be shown that the external rate of return fails to rank them. However, the productive rate of return criterion would prove to be able to rank them like the net present value standard, provided that the principle of comparison is kept. In addition, rate of returns can be assessed so that all mutually exclusive projects can be compared at once, such as on the criterion of the net present value. That is, it can be also compared with many other returns, such as the profit rates on financial investments or real investments.

Evaluation of Corporate Distress Prediction Power using the Discriminant Analysis: The Case of First-Class Hotels in Seoul (판별분석에 의한 기업부실예측력 평가: 서울지역 특1급 호텔 사례 분석)

  • Kim, Si-Joong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.10
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    • pp.520-526
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    • 2016
  • This study aims to develop a distress prediction model, in order to evaluate the distress prediction power for first-class hotels and to calculate the average financial ratio in the Seoul area by using the financial ratios of hotels in 2015. The sample data was collected from 19 first-class hotels in Seoul and the financial ratios extracted from 14 of these 19 hotels. The results show firstly that the seven financial ratios, viz. the current ratio, total borrowings and bonds payable to total assets, interest coverage ratio to operating income, operating income to sales, net income to stockholders' equity, ratio of cash flows from operating activities to sales and total assets turnover, enable the top-level corporations to be discriminated from the failed corporations and, secondly, by using these seven financial ratios, a discriminant function which classifies the corporations into top-level and failed ones is estimated by linear multiple discriminant analysis. The accuracy of prediction of this discriminant capability turned out to be 87.9%. The accuracy of the estimates obtained by discriminant analysis indicates that the distress prediction model's distress prediction power is 78.95%. According to the analysis results, hotel management groups which administrate low level corporations need to focus on the classification of these seven financial ratios. Furthermore, hotel corporations have very different financial structures and failure prediction indicators from other industries. In accordance with this finding, for the development of credit evaluation systems for such hotel corporations, there is a need for systems to be developed that reflect hotel corporations' financial features.