FIN-03-06 A Dynamic Model of Optimal Capital Structure Sheridan Titman McCombs School of Business The University of Texas at Austin e-mail: titman@mail.utexas.edu Sergey Tsyplakov Moore School of Business The University of South Carolina‚ Columbia‚ SC This paper also can be downloaded without charge from the Social Science Research Network Electronic Paper Collection: http://ssrn.com/abstract/332042 A Dynamic Model of Optimal Capital Structure∗ Sheridan Titman McCombs School of Business
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Environmental Dynamism‚ Capital Structure and Performance: A Theoretical Integration and an Empirical Test Author(s): Roy L. Simerly and Mingfang Li Source: Strategic Management Journal‚ Vol. 21‚ No. 1 (Jan.‚ 2000)‚ pp. 31-49 Published by: John Wiley & Sons Stable URL: http://www.jstor.org/stable/3094118 Accessed: 07/12/2009 10:37 Your use of the JSTOR archive indicates your acceptance of JSTOR ’s Terms and Conditions of Use‚ available at http://www.jstor.org/page/info/about/policies/terms.jsp.
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at 11.3% to $2.16 per share‚ return of $15.6 to shareholders through share buybacks and strong dividends. About 43.8% of the total capital of the company comes from debt and the remaining comes from equity. The cost of the different components of its capital structure are – debt: 2.92% (after-tax cost)‚ and equity: 9.49%. The WACC is 6.61%‚ based on the capital structure outlined. The effective tax rate is 35.4%. AT&T has had dividend growth for the last 25 years. The dividend growth this year was
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Target Corporation: Report on Long-term Financing Policy and Capital Structure with an Acquisition Analysis Introduction This report will be based on the Target Corporation‚ and will consist of two sections: 1) long-term financing policy and capital structure‚ and 2) an acquisition analysis. The first section will include: Target’s most recent long-term financing decision; an analysis of the economic‚ business‚ and competitive background in which the financing occurred; Target’s book value and market
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------------------------------------------------- Chapter 15 Capital Structure Decisions ------------------------------------------------- ANSWERS TO END-OF-CHAPTER QUESTIONS 15-1 a. Capital structure is the manner in which a firm’s assets are financed; that is‚ the right-hand side of the balance sheet. Capital structure is normally expressed as the percentage of each type of capital used by the firm--debt‚ preferred stock‚ and common equity. Business risk is the risk
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CHAPTER 16 FINANCIAL LEVERAGE AND CAPITAL STRUCTURE POLICY Answers to Concepts Review and Critical Thinking Questions 1. Business risk is the equity risk arising from the nature of the firm’s operating activity‚ and is directly related to the systematic risk of the firm’s assets. Financial risk is the equity risk that is due entirely to the firm’s chosen capital structure. As financial leverage‚ or the use of debt financing‚ increases‚ so does financial risk and‚ hence‚ the overall
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Pfizer Inc.’S Cost of Capital and Capital structure - Xiaoyue Shi The costs of capital and capital structures for Pfizer Inc. and its two competitors Merck & Co. Inc. and Johnson & Johnson in the pharmaceutical industry are analyzed in this memo. When calculating the cost of common stock for the three companies‚ three different approaches including Capital Asset Pricing Model (CAPM)‚ Discounted Cash Flow (DCF) and the bond yield plus risk premium are applied (Appendix A). For CAPM approach
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Debt and equity are essentially the ways in which companies can raise capital. Debt financing is when a company takes out a loan that generally has a defined time period and interest rate attached to the transaction. Debt financing include loans‚ leases‚ bank overdrafts and terms of trade. Next‚ equity financing is when a company issues shares to the other investors which can be the general public or investment companies. These shares represent ownership of the company to the extent of the shares
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An Appraisal of Dividend Policy and Capital Structure of Apex Tanneries Limited 1. Company Profile Apex tanneries has been setting standard in Bangladesh leather export industry since 1976.equiped with the state of the art Italian modern machinery and maintaining high quality strictness. Through the years its production has been progressively entailing a constant expansion of building and machinery .Annual production exceeds 23 million square meters and company sales turnover amount to
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duration and the frequency of the pathways to user conversions. In this paper‚ we propose an alternative data mining framework for analyzing user-level advertising data. In the aggregation step‚ we compress individual user histories into a graph structure‚ called the adgraph‚ representing local correlations between ad events. For the reporting step‚ we introduce several scoring rules‚ called the adfactors (AF)‚ that can capture global role of ads and ad paths in the adgraph‚ in particular‚ the structural
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