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    Mean Variance Optimization

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    Mean-Variance Analysis Mean-variance portfolio theory is based on the idea that the value of investment opportunities can be meaningfully measured in terms of mean return and variance of return. Markowitz called this approach to portfolio formation mean-variance analysis. Mean-variance analysis is based on the following assumptions: 1. All investors are risk averse; they prefer less risk to more for the same level of expected return. 2. Expected returns for all assets are known. 3. The

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    Davis Boatworks

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    actual income and balance sheet from FY1996 - 1999 and projected income and balance sheet with and without expansion from FY1999 - 2003. We also considered historical rate of return data for the analysis. We employed the Capital Asset Pricing Model (CAPM) with this data to find the value the firm to be $1.69million - $2.89 million. The Problem Carson "Buddy" Davis started Davis Boatworks in 1973 making a single 46’ boat for a customer in Manteo‚ North Carolina. Over the next twenty-six years

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    Home Depot- Análisis de Estructura de Capital La historia de Home Depot empezó con una visión de tiendas-almacén llenas hasta el techo con una amplia variedad de productos‚ a los precios más bajos‚ con asociados diestros ofreciendo el mejor servicio al cliente en la industria. Actualmente es el detallista de mejoras al hogar más grande del mundo y el segundo detallista más grande de Estados Unidos. Ha sido reconocido #1 por la revista Fortune como el Detallista Especializado más Admirado en el 2005

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    This document includes the solutions for questions related to the material covered in class for Chapters 11‚ 12 and 13. Thus‚ you are not required to return this last problem set. Your work on the problem sets is over!!!! During last week of classes we will go over questions on the final exam. Please‚ do not forget to complete the teaching evaluations on-line at https://sete.unt.edu/ Corporate Finance: The Core (Berk/DeMarzo)  Chapter 11 - Optimal Portfolio Choice    Use the information for the question(s) below

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    Royal Dutch Shell‚ Plc. (NYSE: RDS.A) Table of Contents Executive Summary3 Introduction4 Financial Ratio Analysis5 Liquidity6 Asset Management7 Debt Management8 Profitability10 Market Value12 Cash Flow and Growth Analysis14 Capital Structure Estimation16 Weighted Average Cost of Capital17 Cost of Debt17 Cost of Equity - CAPM18 Cost of Equity - DCF19 Cost of Equity - BYPRP19 WACC20 Project Cash Flow Estimation21 Capital Budgeting Analysis23 Sensitivity Analysis24

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    FINS2624 S2 2012 Mockterm FAMILY NAME OTHER NAMES STUDENT ID SIGNATURE THE UNIVERSITY OF NEW SOUTH WALES SCHOOL OF BANKING AND FINANCE TIME ALLOWED: N/A To make sure that we can identify your exam if your student ID number is hard to read‚ please tick the boxes below to fill in your seven digit student ID number. Detailed instructions are on the next page. 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 M oc kt Page 1 of 21 Please see over er FINS2624 PORTFOLIO MANAGEMENT MOCK MID-TERM

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    Finance Part 2

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    Course Project Part II Introduction You will assume that you still work as a financial analyst for AirJet Best Parts‚ Inc. The company is considering a capital investment in a new machine and you are in charge of making a recommendation on the purchase based on (1) a given rate of return of 15% (Task 4) and (2) the firm’s cost of capital (Task 5). Task 4. Capital Budgeting for a New Machine A few months have now passed and AirJet Best Parts‚ Inc. is considering the purchase on a new machine

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    Financial Analyse

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    FINM 7008 Assignment Marks: 15% of total assessment Group size: a minimum of four students and a maximum of six students Due Date: Monday 7 May 2012‚ 4pm Instructions The assignment requires the use of PC or Mac computer. You will need to be familiar with a spread sheet (for example Excel)‚ word processor (for example Word) and statistical package (for example EViews or SPSS). This project is worth 15% of the assessment in this course. Students must form their own groups of between four and six

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    Iron Ore Dry Bulk Trade

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    IRON ORE DRY BULK TRADE Demand for dry bulk commodities like iron ore is driven by industrial production and growth requirements. An increase in steel production stimulates the growth of iron ore shipments and also the trade. From early 2000s‚ the iron ore market began a transformation following China’s increasing demand for steel. World production of iron ore exceeded 1 billion tonnes in 2002. International iron ore trade reached record levels at 512 million tonnes (Mt). Price negotiations

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    ESTIMATING THE COST OF CAPITAL: AN UPDATE 15 “Best Practices” in Estimating the Cost of Capital: An Update W. Todd Brotherson‚ Kenneth M. Eades‚ Robert S. Harris‚ and Robert C. Higgins “Cost of capital is so critical to things we do‚ and CAPM has so many holes in it—and the books don’t tell you which numbers to use… so at the end of the day‚ you wonder a bit if you’ve got a solid number. Am I fooling myself with this Theories on cost of capital have been around for decades. Unfortunately

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