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首页> 外文期刊>European Journal of Business and Management >Econometric Forecasting of Money Mobilization Through Public Issues in Indian Primary Capital Market using Box-Jenkins ARIMA Model
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Econometric Forecasting of Money Mobilization Through Public Issues in Indian Primary Capital Market using Box-Jenkins ARIMA Model

机译:使用Box-Jenkins ARIMA模型的印度一级资本市场中公开发行货币动员的计量经济学预测

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Corporate finance is raised from the primary capital market through public offers, rights issues and private placement, etc. Public offer is the largest sources of funds from the primary capital market to the company. Basically, an invitation is made by a company to the public to subscribe to its securities offered through prospectus is called as public offers, which can be adopted either under fixed price, book- building method or pure auction method. Public issues are of two types, namely Initial Public Offer (IPO) and Further Public Offer (FPO). The study analyses the trend and forecasting of money mobilization through public issues in Indian primary capital market during 2000-2001 to 2020-2021 based on data during 2000-2001 to 2018-2019 using ARIMA Modeling. The study finds that the ARMA (6, 5) model has become the best model to depict the behaviour of the first differences of the capital raised through public issues over the study period. The study also explores that the forecast values of capital raised through public issues in India for 2018-2019, 2019-2020 and 2020-2021, may be 95100.58, 119465.6, and 107820.3 (crore in rupees), respectively.
机译:公司融资是通过公开发售,供股和私募等方式从初级资本市场筹集的。公开募股是从初级资本市场到公司的最大资金来源。基本上,公司是向公众发出邀请以认购其通过招股说明书发售的证券的方式称为公开发售,可以采用固定价格,簿记方法或纯拍卖方法。公开发行分为两种类型,即首次公开募股(IPO)和进一步公开募股(FPO)。这项研究使用ARIMA模型,基于2000-2001年至2018-2019年的数据,分析了2000-2001年至2020-2021年印度主要资本市场中通过公共发行筹集资金的趋势和预测。研究发现,ARMA(6,5)模型已成为描述研究期间通过公共问题筹集的资本的最初差异行为的最佳模型。该研究还探索了2018-2019年,2019-2020年和2020-2021年通过印度公共发行筹集的资本的预测价值可能分别为95100.58、119465.6和107820.3(卢比)。

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