發(fā)布時(shí)間：2018-10-08 20:50

【摘要】：長(zhǎng)期以來,房地產(chǎn)上市公司融資渠道單一,對(duì)銀行的依賴性較強(qiáng),資產(chǎn)負(fù)債率居高不下。2010以來,國(guó)家加大了對(duì)房地產(chǎn)的調(diào)控,使得房地產(chǎn)公司生存環(huán)境發(fā)生較大變化,導(dǎo)致其發(fā)生財(cái)務(wù)危機(jī)的可能性增大。因此,通過建立房地產(chǎn)行業(yè)的財(cái)務(wù)預(yù)警模型,以期及早發(fā)現(xiàn)并規(guī)避房地產(chǎn)上市公司可能發(fā)生的財(cái)務(wù)危機(jī)。 基于FCF的房地產(chǎn)上市公司財(cái)務(wù)預(yù)警模型的研究主要從以下方面展開,在對(duì)自由現(xiàn)金流量FCF有關(guān)理論研究的基礎(chǔ)上,指出自由現(xiàn)金流量FCF在財(cái)務(wù)預(yù)警模型研究中存在的優(yōu)勢(shì),即FCF是一個(gè)綜合指標(biāo),反映出了企業(yè)的持續(xù)經(jīng)營(yíng)能力和盈利能力；提出了在實(shí)際研究運(yùn)用中計(jì)算公司自由現(xiàn)金流量FCF的方法；對(duì)房地產(chǎn)上市公司財(cái)務(wù)危機(jī)進(jìn)行論述,描述了房地產(chǎn)上市公司財(cái)務(wù)危機(jī)發(fā)生的根本原因,指出了基于自由現(xiàn)金流量FCF的特別指標(biāo),分析了國(guó)家宏觀調(diào)控政策對(duì)房地產(chǎn)上市公司自由現(xiàn)金流量FCF的影響；通過設(shè)立有關(guān)假設(shè),對(duì)有關(guān)財(cái)務(wù)指標(biāo)和非財(cái)務(wù)指標(biāo)進(jìn)行顯著性和相關(guān)性檢驗(yàn),選取了通過顯著性較強(qiáng)和不具有高度相關(guān)性的6個(gè)財(cái)務(wù)指標(biāo)和1個(gè)非財(cái)務(wù)指標(biāo)進(jìn)入財(cái)務(wù)預(yù)警模型,并將房地產(chǎn)上市公司的數(shù)據(jù)通過SPSS軟件進(jìn)行l(wèi)ogistic回歸,建立基于自由現(xiàn)金流量FCF的房地產(chǎn)上市公司的財(cái)務(wù)預(yù)警模型；財(cái)務(wù)預(yù)警模型進(jìn)行檢驗(yàn),運(yùn)用SPSS軟件對(duì)建立的財(cái)務(wù)預(yù)警模型相關(guān)系數(shù)進(jìn)行綜合檢驗(yàn)和模型擬合優(yōu)度的檢驗(yàn),并將計(jì)算出的40個(gè)檢驗(yàn)樣本的有關(guān)財(cái)務(wù)數(shù)據(jù)和搜集到的非財(cái)務(wù)數(shù)據(jù)代入預(yù)警模型進(jìn)行計(jì)算對(duì)模型的實(shí)際預(yù)測(cè)效果進(jìn)行檢驗(yàn)；提出房地產(chǎn)上市公司應(yīng)該從建立健全財(cái)務(wù)預(yù)警機(jī)制、強(qiáng)化自由現(xiàn)金流量FCF的監(jiān)控和改善財(cái)務(wù)管理模式三個(gè)方面提高應(yīng)對(duì)財(cái)務(wù)危機(jī)的能力。 研究表明,房地產(chǎn)上市公司財(cái)務(wù)危機(jī)發(fā)生的根本原因在于缺乏核心競(jìng)爭(zhēng)力和完善的公司治理制度；宏觀政策對(duì)房地產(chǎn)上市公司的FCF有顯著影響,以流動(dòng)比率、負(fù)債比率、存貨周轉(zhuǎn)率、FCF、帶息負(fù)債比和股權(quán)集中度為解釋變量構(gòu)建的財(cái)務(wù)預(yù)警模型在統(tǒng)計(jì)學(xué)上有良好的擬合度,實(shí)際檢驗(yàn)效果也表明該財(cái)務(wù)預(yù)警模型能取得比較好的預(yù)警效果；房地產(chǎn)上市公司應(yīng)從加強(qiáng)對(duì)FCF的監(jiān)控等方面加強(qiáng)對(duì)財(cái)務(wù)風(fēng)險(xiǎn)的預(yù)測(cè)。
[Abstract]:For a long time, the financing channel of listed real estate companies is single, the dependence on banks is relatively strong, and the ratio of assets and liabilities remains high. Since 2010, the state has increased its regulation on real estate, which has made the living environment of real estate companies change greatly. It is more likely to cause a financial crisis. Therefore, by establishing the financial early warning model of real estate industry, we hope to detect and avoid the financial crisis that may occur in real estate listed companies as soon as possible. The research on the financial early-warning model of real estate listed companies based on FCF is mainly carried out from the following aspects. On the basis of the theoretical research on free cash flow (FCF), this paper points out the advantages of free cash flow (FCF) in the research of financial early-warning model. That is, FCF is a comprehensive index, which reflects the continuing management ability and profitability of the enterprise, puts forward the method of calculating the free cash flow FCF of the company in the actual research and application, and discusses the financial crisis of the listed real estate company. This paper describes the fundamental causes of the financial crisis of real estate listed companies, points out the special indicators based on free cash flow (FCF), and analyzes the influence of national macro-control policies on the free cash flow FCF of real estate listed companies. By setting up the relevant assumptions and testing the significance and correlation of the relevant financial indicators and non-financial indicators, six financial indicators and one non-financial index with strong significance and no high correlation are selected to enter the financial early warning model. The data of real estate listed companies are regressed by logistic through SPSS software, and the financial early-warning model of real estate listed companies based on free cash flow FCF is established, and the financial early-warning model is tested. By using SPSS software, the correlation coefficient of the established financial early warning model is tested synthetically and the goodness of fit of the model is tested. The financial data of 40 test samples and the collected non-financial data are added to the early-warning model to test the actual forecasting effect of the model, and the real estate listed companies should establish and improve the financial early-warning mechanism. Strengthen the monitoring of free cash flow FCF and improve the financial management mode to improve the ability to deal with financial crisis. The research shows that the fundamental cause of the financial crisis of listed real estate companies lies in the lack of core competitiveness and perfect corporate governance system, and the macro policy has a significant impact on the FCF of listed real estate companies, with the current ratio and debt ratio. The financial early-warning model with inventory turnover ratio FCFF ratio with interest and debt ratio and equity concentration as explanatory variable has good statistical fit. The actual test results also show that the financial early-warning model can achieve better early warning effect. Real estate listed companies should strengthen the financial risk prediction from the aspects of strengthening the monitoring of FCF.
【學(xué)位授予單位】：武漢理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：F275;F299.233.4

【參考文獻(xiàn)】

相關(guān)期刊論文 前6條

1 胥朝陽(yáng);蔣志林;;基于FCF的企業(yè)財(cái)務(wù)預(yù)警體系研究[J];財(cái)政監(jiān)督;2009年06期

2 吳星澤;;財(cái)務(wù)預(yù)警的非財(cái)務(wù)觀[J];當(dāng)代財(cái)經(jīng);2010年04期

3 潘穎;;企業(yè)短期財(cái)務(wù)預(yù)警系統(tǒng)的構(gòu)建[J];生產(chǎn)力研究;2009年04期

4 李曉明;;淺談我國(guó)企業(yè)財(cái)務(wù)預(yù)警模型的建立[J];商業(yè)時(shí)代;2005年36期

5 王立新;;企業(yè)加強(qiáng)財(cái)務(wù)危機(jī)預(yù)警體系與風(fēng)險(xiǎn)防范研究[J];現(xiàn)代商業(yè);2012年05期

6 錢愛民;張淑君;程幸;;基于自由現(xiàn)金流量的財(cái)務(wù)預(yù)警指標(biāo)體系的構(gòu)建與檢驗(yàn)——來自中國(guó)機(jī)械制造業(yè)A股上市公司的經(jīng)驗(yàn)數(shù)據(jù)[J];中國(guó)軟科學(xué);2008年09期

相關(guān)博士學(xué)位論文 前2條

1 李嵐;中國(guó)房地產(chǎn)業(yè)產(chǎn)融結(jié)合研究[D];華東師范大學(xué);2008年

2 劉彥文;上市公司財(cái)務(wù)危機(jī)預(yù)警模型研究[D];大連理工大學(xué);2009年

，

本文編號(hào)：2258217