Application of option price model in mining industry merge & acquisition

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dc.contributor.advisor Zhang, Michael Xiaoou, 1973-
dc.coverage.spatial Canada
dc.creator Xiao, Chris
dc.date.accessioned 2014-07-24T15:32:29Z
dc.date.available 2014-07-24T15:32:29Z
dc.date.issued 2014
dc.identifier.other HG4028 V3 X53 2014
dc.identifier.uri http://library2.smu.ca/xmlui/handle/01/25844
dc.description 81 leaves : ill. (chiefly col.) ; 29 cm.
dc.description Includes abstract.
dc.description Includes bibliographical references (leaves 76-81).
dc.description.abstract The traditional discounted cash flow valuation (DCF) has many limitations. In order to compensate for some of those limitations, real option valuations (ROV) have been widely accepted and applied. The popularity of ROV is partly related to its ability to analyze flexibility and uncertainties within various industries. We focused on the mining industry, explored the conditions that enable ROV to outperform DCF, and proposed that under certain conditions, ROV may more accurately reflect the market value of a mining firm. We reviewed the current developments of DCF and ROV models and apply both methods to a real Mergers and Acquisitions (M&A) case - Barrick Gold, a very representative mining firm. By comparing DCF and ROV, we discussed the benefits of ROV in mining industry and the premium of the acquirer’s offer price. In addition, pertinent concepts were identified and explored to enhance the understanding of business issues arisen in M&A. en_CA
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dc.language.iso en en_CA
dc.publisher Halifax, N.S. : Saint Mary's University
dc.subject.lcc HG4028.V3
dc.subject.lcsh Barrick Gold Corp.
dc.subject.lcsh Corporations -- Valuation -- Canada
dc.subject.lcsh Mineral industries -- Canada -- Finance
dc.subject.lcsh Consolidation and merger of corporations -- Canada
dc.subject.lcsh Discounted cash flow
dc.subject.lcsh Real options (Finance)
dc.title Application of option price model in mining industry merge & acquisition en_CA
dc.title.alternative Application of option price model in mining industry merge[r] and acquisition
dc.type Text en_CA
thesis.degree.name Master of Science in Applied Science
thesis.degree.level Masters
thesis.degree.discipline Finance, Information Systems, & Management Science
thesis.degree.grantor Saint Mary's University (Halifax, N.S.)
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