Research On M&A Pricing And Fianacial Risk Of Chinese Coal Corporates | Posted on:2015-06-10 | Degree:Doctor | Type:Dissertation | Country:China | Candidate:W W Xu | Full Text:PDF | GTID:1489304313956899 | Subject:Financial engineering and risk management | Abstract/Summary: | PDF Full Text Request | Three new coordinates-independent unitary regression approaches are proposed, namely:the main component-based linear regression, the polar/minimal axis-based symmetricalenvelope domain sparse data unitary linear regression and the moment of inertia-based linearregression. Emulation experiment results show the advantages for all parties over existingapproaches. Two new coordinates-independent binary linear regression approaches are proposed,namely: the main component-based binary linear regression and the polar/minimal axis-basedsymmetrical envelope domain sparse data binary linear regression. Emulation experiment resultsshow the advantages for all parties over existing approaches. A new coordinates-independentmultiple linear regression approach is proposed, named hyperplane and PCA based linearregression. W-score is defined to evaluate financial risk in M&A financing of coal corporates.Parameters of W-score are calculated by three regression approaches. Univariate and multivariaterelations between main business income and book value of fixed assets/non-fixed assets of coalcorporates are studied. The relevant functions are given by unitary linear/nonlinear and binaryregression approaches. | Keywords/Search Tags: | coal corporates, M&A financing, W-score, linear regression approach, financialrisk | PDF Full Text Request | Related items |
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