...Harvard Business School 9-293-024 Rev. December 16, 1994 BEA Associates: Enhanced Equity Index Funds On the afternoon of July 13, 1992, Messrs. Jeffrey Geller and David DeRosa, derivatives portfolio managers at BEA Associates, were considering alternative ways of investing the assets of a new $100 million enhanced index account. They wanted to find the most attractive combination of derivative and cash market positions to achieve the client's objective which was to outperform the S&P 500 stock index by 50 basis points in a low risk manner. The alternatives included the use of over-the-counter equity swaps, a relatively new financial instrument that had proliferated in recent years. BEA Associates BEA Associates was an investment advisory firm founded as Basic Economic Appraisals in 1934. As of March 31, 1992, the firm managed $15.4 billion representing over 164 institutional clients. Its separate accounts clients were principally corporate, public, and multiemployer pension funds, and foundations and endowments. BEA also managed several mutual and commingled funds, and a number of closed-end country funds. The firm employed 33 investment professionals—most of whom had 10 years or more of experience—and 76 support staff. BEA offered a variety of specialized investment management services grouped under equities ($3.4 billion), fixed income ($5.6 billion), derivative-based strategies ($5 billion), and international equities ($1.6 billion). (See Exhibit 1). The firm boasted...
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...Harvard Business School 9-293-024 Rev. December 16, 1994 BEA Associates: Enhanced Equity Index Funds On the afternoon of July 13, 1992, Messrs. Jeffrey Geller and David DeRosa, derivatives portfolio managers at BEA Associates, were considering alternative ways of investing the assets of a new $100 million enhanced index account. They wanted to find the most attractive combination of derivative and cash market positions to achieve the client's objective which was to outperform the S&P 500 stock index by 50 basis points in a low risk manner. The alternatives included the use of over-the-counter equity swaps, a relatively new financial instrument that had proliferated in recent years. BEA Associates BEA Associates was an investment advisory firm founded as Basic Economic Appraisals in 1934. As of March 31, 1992, the firm managed $15.4 billion representing over 164 institutional clients. Its separate accounts clients were principally corporate, public, and multiemployer pension funds, and foundations and endowments. BEA also managed several mutual and commingled funds, and a number of closed-end country funds. The firm employed 33 investment professionals—most of whom had 10 years or more of experience—and 76 support staff. BEA offered a variety of specialized investment management services grouped under equities ($3.4 billion), fixed income ($5.6 billion), derivative-based strategies ($5 billion), and international equities ($1.6 billion). (See Exhibit 1). The firm boasted...
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...Harvard Business School 9-794-024 Rev. August 6, 1996 DO Wal*Mart Stores, Inc. In Forbes magazine’s annual ranking of the richest Americans, the heirs of Sam Walton, the founder of Wal*Mart Stores, Inc., held spots five through nine in 1993 with $4.5 billion each. Sam Walton, who died in April 1992, had built Wal*Mart into a phenomenal success, with a 20-year average return on equity of 33%, and compound average sales growth of 35%. At the end of 1993, Wal*Mart had a market value of $57.5 billion, and its sales per square foot were nearly $300, compared to the industry average of $210. It was widely believed that Wal*Mart had revolutionized many aspects of retailing, and its was well known for its heavy investment in information technology. David Glass and Don Soderquist faced the challenge of following in Sam Walton’s footsteps. Glass and Soderquist, CEO and COO, had been running the company since February 1988, when Walton, retaining the chairmanship, turned the job of CEO over to Glass. Their record spoke for itself—the company went from sales of $16 billion in 1987 to $67 billion in 1993, with earnings nearly quadrupling from $628 million to $2.3 billion. At the beginning of 1994, the company operated 1,953 Wal*Mart stores (including 68 supercenters), 419 warehouse clubs (Sam’s Clubs), 81 warehouse outlets (Bud’s), and four hypermarkets. During 1994 Wal*Mart planned to open 110 new Wal*Mart stores, including 5 supercenters, and 20 Sam’s Clubs, and to expand...
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...Executive Summary The primary objective of this study is to determine the feasibility of implementing a Combined Heat and Power (CHP) or cogeneration plant to meet our polymer production line’s energy needs. Key steps followed were: * Perform an analysis of the energy consumption of the production line * Perform an economic analysis on a variety of potential cogeneration schemes based on the energy and thermal load profiles * Recommend next steps to undertake as a follow up to this study Table 1 below illustrates current energy demands for our production line. Electricity demand is fairly stable over the calendar year, with peaks as expected during production hours, and a fairly high baseload during off production hours. Only 75% of the heating demand can be met by a cogeneration scheme. Demand in heating (hot water) is only necessary during production hours. Part of the electricity demand is to supply the production line with chilled water. The current chiller plant is electric driven. | Summer | Winter | | Weekday | Weekend | Weekday | Weekend | | Day | Night | Day | Night | Day | Night | Day | Night | Electricity consumption (kWh) | 2,205,072 | 836,654 | 309,605 | 126,821 | 2,194,749 | 813,301 | 343,068 | 137,186 | Fuel consumption (kWh) | 3,024,635 | 1,245,438 | - | - | 3,618,453 | 1,489,951 | - | - | Table 1 - Electricity and Gas consumption over a calendar year Table 2 below illustrates possible cogeneration schemes. As heating (hot water) is...
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...lee (ml37757) – Ch 5 Thermochemistry – tetzlaff – (201201) This print-out should have 27 questions. Multiple-choice questions may continue on the next column or page – find all choices before answering. 001 10.0 points What factor determines whether a reaction will be exothermic or endothermic? 1. the difference in energy between reactants and products 2. the speed of the reaction 3. the relative concentrations of reactants and products in solution 4. the heat properties of the products 1. +350 kJ 5. the activation energy of the reaction 2. −50 kJ 002 10.0 points Refer to the potential energy diagram shown below. 10 350 9 8 7 6 300 5 4 3 2 250 1 0 1 003 10.0 points Refer to the potential energy diagram shown below. 10 550 9 8 7 6 450 5 4 3 2 350 1 0 Energy (kJ) A B 0 1 2 3 progress 8 9 101112 rxn 4 5 6 7 What is the change in enthalpy (∆H) for the reaction A → B? 3. −350 kJ 4. −100 kJ 5. +100 kJ Energy (kJ) B 004 10.0 points An endothermic reaction corresponds to one in which 1. ∆H is negative; heat is absorbed 0 1 2 3 progress 8 9 101112 rxn 4 5 6 7 A 2. ∆H is positive; heat is absorbed 3. ∆H is negative; heat is evolved 4. ∆H is positive; heat is evolved What is the change in enthalpy (∆H) for the reaction A → B? 1. −250 kJ 2. −150 kJ 3. +300 kJ 4. +50 kJ 5. −50 kJ 005 10.0 points Which statement would be the best interpretation of the First Law of Thermodynamics? 1. The total amount of energy in the universe is increasing. 2. The total...
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...Modeling Project: Average Income in each State Shelby McMurphy Stats for Business and Economics 211 Rosemary Walker April 24, 2014 Table of Contents I. Introduction…………………………………………………………………………...3 II. Model…………………………………………………………………………………….4 III. Data……………………………………………………………………………………….5 IV. Results……………………………………………………………………………………6 V. Conclusion……………………………………………………………………………..8 VI. References……………………………………………………………………………...8 VII. Appendices………………………………………………………………………………9 a. Computer Printouts b. Project Answers I. Introduction Ever thought about moving to a totally different state? Well there are always factors that you want to consider and brainstorm about before you make that big decision. One of those big factors that people like to investigate is the average income of people in that state. Many factors can explain the average income in the different states, such as the median value of a house in that state, the percentage of different races, percentage of women rather than men, and percentage of people with a college education at least. In this modeling project, we will investigate into how these factors can play a part in the average income of the states. II. Model The population regression equation for this model is as follows: y= β0 + β1x1 + β2x2 + β3x3 + β4x4 + β5x5 The dependent variable is the average income in each state. The independent variables are percentage of women, percentage with a college degree...
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...BANKING ACADEMY OF VIETNAMBTEC HND IN BUSINESS (ACCOUNTING) ASSIGNMENT FRONT SHEET | Qualification | Unit Code / Unit number and title | Pearson BTEC Level 5 HND Diploma in Business (Accounting) | (Y/601/0546)Unit 1 Business Environment | Student name / BTEC Registration Number | Assessor name | Hoang Quang HungHoang Tuan DungDao Tien Hoang | F08-027F08-013F08-024 | Martin Ortega-Azurduy | Date issued | Hand in deadline | Submitted on | TBA | 5/11/2015 | 5/11/2015 | | | Assignment title | Assignment 1 : The Virgin Group and its environment | In this assessment you will have opportunities to provide evidence against the following criteria. Indicate the page numbers where the evidence can be found. | Learning Outcome | Learning outcome | Assessment Criteria | In this assessment you will have the opportunity to present evidence that shows you are able to: | Task no. | Evidence(Page no) | LO1 | Understand the organisational purposes of businesses | 1.1 | Identify the purposes of different types of organisation | 1 | | | | 1.2 | Describe the extent to which an organisation meets the objectives of different stakeholders | 1 | | | | 1.3 | Explain the responsibilities of an organisation and strategies employed to meet them | 1 | | LO2 | Understand the nature of the national environment in which businesses operates | 2.1 | Explain how economic systems attempt to allocate resources effectively | 2 | | | | 2.2 | Assess...
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...Introduction Today’s companies are confronted with rapidly changing business environments and a seemingly ever-increasing complexity. The current financial and economic crisis is just one – albeit a very significant one – driver of change. All business fields − and the logistics industry in particular − will be affected by those developments. More than ever, companies need to be ready to adapt to shifting situations. As being part of one of the largest logistic company in the industry, we have got a chance to an in depth study of logistic business and DHL. Literature Review: Logistics in the year 2020 The increase of Internet commerce, the individualization of products, and the development of new markets promise large growth potential. At the same time, logistics companies will face enormous challenges. They can only overcome them by intensively investing in the development of new transport routes and introducing a new degree of flexibility into their operations (Mark G, 2008). Logistics companies will profit immediately from the transformation of global conditions and customer behavior. The first benefit will come in the form of rising transport volumes. Some of the expected changes are as follows: 1.1 Focus: New Scopes of Responsibilities By the year 2020, the logistics industry will have massively expanded its number of corporate and private clients thanks to extensive investments in research and development. The value chain will have been constantly lengthened...
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... PGP16/024 Megha Jain PGP16/031 Pooja Sharma PGP16/036 Neeraj Kumar PGP16/033 Rohit Kumar PGP16/042 Boby Chaitanya V FPM Piyush Kumar FPM Acknowledgement During the term project for Operations Management (OM-I), we had a great opportunity to learn and apply the various concepts and principles that we have learnt in the course. For a successful and enriching learning experience, we’d like to acknowledge, with utmost sincerity, the efforts of all those who have made the successful completion of our project possible. We are thankful to Prof. Sanjay Jarkharia (Instructor for OM-I course), for his constant guidance and support throughout the period of project. Also, our honest regards for all the staff at Agrotech Pvt Ltd., who made this project experience all the more enriching and enjoying, our fellow classmates who were always at help regarding anything concerned with the project and the wonderful people of Kerala who were always helping and considerate during our field trips. LIST OF DIAGRAMS Title of Diagram | Organizational Structure of Agrotech Private Limited (Refining unit) | Block Diagram of Plant | Process Flow Diagram | TABLE OF CONTENTS S.NO | Contents | Page No | 1. | Introduction | | | 1.1 Oil Manufacturing in India | | | 1.2 Domestic production and consumption | | | 1.3 Classification...
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...206-009-1 MICHAEL J. ENRIGHT CHINA’S EXPORTS: AN UNSTOPPABLE COMPETITOR? According to press reports, in early 2005, the US and Europe were being inundated with Chinese garment exports following the removal of quotas in January. In some categories, imports from China were several hundred per cent higher than in the previous year. In the US, politicians and trade unions blamed China for the loss of 380,000 jobs in the textile and garment industries since January 2001, a third of its employees. In Europe, garment and textile centres that had existed for hundreds of years found themselves under threat. In the developing world, country after country feared that China’s emergence would cripple its own garment and textile industries. Garments and textiles reflected a much wider trend. In one labour-intensive industry after another, the “China price” seemed impossible to match. China had become a dominant producer in garments, textiles, footwear, travel goods, leather goods, plastic products, bicycles, simple housewares, pens and pencils, cutlery, radios, phones, computers, DVD players, shipping containers, and many other products. In the US, China was viewed as a major reason for the loss of 2.7 million manufacturing jobs from 2001 to 2004.1 More than 300,000 were reported to have lost jobs in Mexico’s factories due to competition from China. China had supplanted Japan as the world’s third largest exporter in 2004 with US$593 billion (an 82% increase over two...
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...A PROJECT REPORT ON “STUDY OF AFTER SALES SERVICES” UNDERTAKEN AT EMPIRE MOTORS PRIVATE LIMITED. (NAVSARI) Submitted By: PRAFFUL R VADNARE ID: 06MBA60 Guided By: JITESH PARMAR MBA PROGRAMME (Year 2006-08) SHRIMAD RAJCHANDRA INSTITUTE OF MANAGEMENT AND COMPUTER APPLICATION SHRIMAD RAJCHANDRA INSTITUTE OF MANAGEMENT AND COMPUTER APPLICATION. COLLEGE CERTIFICATE This is to certify that the summer project report entitled “Study of after sales services” at Empire motors Pvt. Ltd., Navsari has been carried out by Prafful R. Vadnere (06 MBA 60) towards the partial fulfillment of the requirement for the degree of Master of Business Administration has been found satisfactory during academic year 2006-07. [Mr. Jitesh Parmar] Faculty Guide Date: Place: Gopal Vidyanagar. [Dr. Bankim Patel] Director DECLARATION I the undersign Mr. Prafful Ravindra Vadnere declare that this summer project report entitled “Study of after sales services at Empire motors Pvt. Ltd., Navsari” is the result of my own work for the fulfillment of the award of degree of Master of Business Administration and has not been previously submitted to any other University or Institute for any other examination and any other purpose by any other person. I further declare that the personal data and information received from any respondent during survey has not been shared with any one and is used for academic purpose only. Date: Mr. Prafful R. Vadnere (06 MBA 60) ACKNOWLEDGEMENT Achieving anything...
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...RAND Journal of Economics Vol. 31, No. 3, Autumn 2000 pp. 395–421 Mergers with differentiated products: the case of the ready-to-eat cereal industry Aviv Nevo* Traditional merger analysis is difficult to implement when evaluating mergers in industries with differentiated products. I discuss an alternative, which consists of demand estimation and the use of a model of postmerger conduct to simulate the competitive effects of a merger. I estimate a brand-level demand system for ready-to-eat cereal using supermarket scanner data and use the estimates to (1) recover marginal costs, (2) simulate postmerger price equilibria, and (3) compute welfare effects, under a variety of assumptions. The methodology is applied to five mergers, two of which occurred and for which I compare predicted to actual outcomes. 1. Introduction Traditional analysis of horizontal mergers is based primarily on industryconcentration measures. The market is defined and pre- and postmerger market shares of the relevant firms are used to compute pre- and postmerger concentration measures, which give rise to presumptions of illegality. Using this approach to evaluate mergers in industries with differentiated, or closely related but not identical, products is problematic. In many cases the product offerings make it difficult to define the relevant product (or geographic) market. Even if the relevant market can easily be defined, the computed concentration index provides a reasonable standard by which to judge...
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...interest, or else obtained from only a sample (subset) of the full population. Instead of doing the measurements ourselves, we may sometimes obtain data from previous results in published form. 1-3. The weakest is the Nominal Scale, in which categories of data are grouped by qualitative differences and assigned numbers simply as labels, not usable in numeric comparisons. Next in strength is the Ordinal Scale: data are ordered (ranked) according to relative size or quality, but the numbers themselves don't imply specific numeric relationships. Stronger than this is the Interval Scale: the ordered data points have meaningful distances between any two of them, measured in units. Finally is the Ratio Scale, which is like an Interval Scale but where the ratio of any two specific data values is also measured in units and has meaning in comparing values. 1-4. Fund: Qualitative Style: Qualitative US/Foreign: Qualitative 10 yr Return: Quantitative Expense Ratio: Quantitative 1-5. Ordinal. 1-6. A qualitative variable describes different categories or qualities of the members of a data set, which have no numeric relationships to each other, even when the categories happen to be coded as numbers for convenience. A quantitative variable gives numerically meaningful information, in terms of ranking, differences, or ratios...
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...CHAPTER ONE INTRODUCTION 1.1. Introduction Have you ever stopped to think about where your electricity comes from? Nowadays, it is no longer only a question of ‘how much electricity do I want to use? However, this type of question which is ‘what kind of electricity do I want to use?’ is also count. In the case of Malaysia, most of the electricity is generated by burning coal and gas in power stations. These types of activities eventually will give such a negative impact towards the environment such as the critical global warming and climate change. Hence, a green ‘power’ or electricity that is environmentally friendly is needed in order to prevent the Earth from continually dying. So what is green electricity? As stated by Green Electricity Marketplace website, ‘green electricity’' is well defined as electricity that is produced from sources which is eco-friendly and do not cause any negative impacts towards the environment. It is undeniable that every type of electricity generation will have some impact upon the environment, but some sources are much environmentally friendly than others. The greenest energy sources are those which utilise the natural energy flows of the Earth and they are usually known as renewable energy sources as they will never run out. There are various studies were conducted to examined or analysed the green electricity. These kinds of studies, however, almost invariably focus on the conservative variables such as sources, cost and impact...
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...ПОТРОШУВАЧКА НА ДОМАЌИНСТВАТА ВО РЕПУБЛИКА МАКЕДОНИЈА, 2014 HOUSEHOLD CONSUMPTION IN THE REPUBLIC OF MACEDONIA, 2014 4.4.15.01 810 РЕПУБЛИКА МАКЕДОНИЈА ДРЖАВЕН ЗАВОД ЗА СТАТИСТИКА REPUBLIC OF MACEDONIA STATE STATISTICAL OFFICE ПОТРОШУВАЧКА НА ДОМАЌИНСТВАТА ВО РЕПУБЛИКА МАКЕДОНИЈА, 2014 HOUSEHOLD CONSUMPTION IN THE REPUBLIC OF MACEDONIA, 2014 СТАТИСТИЧКИ ПРЕГЛЕД: Приходи, потрошувачка и цени STATISTICAL REVIEW: Incomes, Expenditures and Prices Скопје, мај 2015 / Skopje, May 2015 4.4.15.01 810 Издавач: ДРЖАВЕН ЗАВОД ЗА СТАТИСТИКА НА РЕПУБЛИКА МАКЕДОНИЈА, ул. “Даме Груев” бр.4, Скопје Publisher: STATE STATISTICAL OFFICE OF THE REPUBLIC OF MACEDONIA, "Dame Gruev"- 4, Skopje Телефон/Phone +389/02/3295-600 Факс/Fax +389/02/3111-336 WEB-страница/WEB site: http://www.stat.gov.mk Одговара Лидија Kостовска, директор Person responsible: Lidija Kostovska, Director ВЕ МОЛИМЕ ПРИ КОРИСТЕЊЕТО НА ОВАА ПУБЛИКАЦИЈА, НАВЕДЕТЕ ГО ИЗВОРОТ WHEN USING DATA CONTAINED HERE, PLEASE CITE THE SOURCE CIP - Каталогизација во публикација Национална и универзитетска библиотека "Св. Климент Охридски", Скопје 330.567.2(497.7)"2014"(083.41) ПОТРОШУВАЧКА на домаќинствата во Република Mакедонија, 2014 = Household consumption in the Republic of Macedonia, 2014. - Скопје : Државен завод за статистика на Република Македонија = Skopje : State Statistical Office of the Republic of Macedonia, 2015. - 122 стр. : табели ; 29 см. - (Статистички преглед / Државен завод...
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