基于现金流随机模型的小企业估值

Ian Leifer, Leifer Lev
{"title":"基于现金流随机模型的小企业估值","authors":"Ian Leifer, Leifer Lev","doi":"10.1109/SMRLO.2016.90","DOIUrl":null,"url":null,"abstract":"Enterprise can be described with vector of financial characteristics e.g. revenue, net profit, net working capital, depreciation, debt etc. Vector evolution can be modeled with use of system of recurrent equations. These equations can be combined in three groups: equations of the income statement, equations of sources and uses of funds and balance equations. System parameters can be obtained using financial performance analysis. Cash flow can be calculated using vector components. Discounted cash flow method is used for business valuation. In real systems there is an uncertainty in all parameters. This uncertainty can be modeled utilizing stochastic approach. Monte Carlo simulation can be adopted to forecast cash flow distribution and to predict the risks caused by uncertainty. We show that once simulation model is set up, it is a simple matter to analyze the principal sources of uncertainty in the cash flows and to see how much this uncertainty could be reduced by improving the forecasts of sales or costs. Practical realization of this approach is discussed in the paper. Finally, we demonstrate how changes in model parameters influence cash flows.","PeriodicalId":254910,"journal":{"name":"2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Small Business Valuation with Use of Cash Flow Stochastic Modeling\",\"authors\":\"Ian Leifer, Leifer Lev\",\"doi\":\"10.1109/SMRLO.2016.90\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Enterprise can be described with vector of financial characteristics e.g. revenue, net profit, net working capital, depreciation, debt etc. Vector evolution can be modeled with use of system of recurrent equations. These equations can be combined in three groups: equations of the income statement, equations of sources and uses of funds and balance equations. System parameters can be obtained using financial performance analysis. Cash flow can be calculated using vector components. Discounted cash flow method is used for business valuation. In real systems there is an uncertainty in all parameters. This uncertainty can be modeled utilizing stochastic approach. Monte Carlo simulation can be adopted to forecast cash flow distribution and to predict the risks caused by uncertainty. We show that once simulation model is set up, it is a simple matter to analyze the principal sources of uncertainty in the cash flows and to see how much this uncertainty could be reduced by improving the forecasts of sales or costs. Practical realization of this approach is discussed in the paper. Finally, we demonstrate how changes in model parameters influence cash flows.\",\"PeriodicalId\":254910,\"journal\":{\"name\":\"2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO)\",\"volume\":\"149 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SMRLO.2016.90\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMRLO.2016.90","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

企业可以用财务特征向量来描述,如收入、净利润、净营运资金、折旧、债务等。向量演化可以用循环方程组来建模。这些方程可以组合成三组:损益表方程、资金来源和用途方程以及余额方程。系统参数可以通过财务绩效分析得到。现金流量可以用矢量分量来计算。企业估值采用现金流量贴现法。在实际系统中,所有参数都有不确定性。这种不确定性可以用随机方法建模。蒙特卡罗模拟可以用来预测现金流量分布,预测不确定性带来的风险。我们表明,一旦建立了模拟模型,分析现金流中不确定性的主要来源以及通过改进销售或成本预测来减少这种不确定性的程度是一件简单的事情。本文讨论了该方法的实际实现。最后,我们展示了模型参数的变化如何影响现金流量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Small Business Valuation with Use of Cash Flow Stochastic Modeling
Enterprise can be described with vector of financial characteristics e.g. revenue, net profit, net working capital, depreciation, debt etc. Vector evolution can be modeled with use of system of recurrent equations. These equations can be combined in three groups: equations of the income statement, equations of sources and uses of funds and balance equations. System parameters can be obtained using financial performance analysis. Cash flow can be calculated using vector components. Discounted cash flow method is used for business valuation. In real systems there is an uncertainty in all parameters. This uncertainty can be modeled utilizing stochastic approach. Monte Carlo simulation can be adopted to forecast cash flow distribution and to predict the risks caused by uncertainty. We show that once simulation model is set up, it is a simple matter to analyze the principal sources of uncertainty in the cash flows and to see how much this uncertainty could be reduced by improving the forecasts of sales or costs. Practical realization of this approach is discussed in the paper. Finally, we demonstrate how changes in model parameters influence cash flows.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信