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    US E&P benchmarking study

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    US E&P benchmark study June 2012 Table of contents Study overview 1 Industry backdrop and study highlights 3 Capital expenditures 4 Revenues and results of operations 5 Oil reserves 6 Gas reserves 7 Performance measures Proved reserve acquisition costs‚ finding and development costs and reserve replacement costs 9 Production replacement rates 10 Production costs 11 Company statistics 12 Peer groups 24 Ernst

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    E-Voting by Using Biometrics

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    Secure Data Communication E-Voting by using biometrics Study of using Fingerprints and Iris in e-voting Presented by: Muna Al-Busaidi. Student ID:1032796 Presented to: Mr.Ramalingam D. Answer for question (1) section (A): Introduction Biometrics is a technique to verify identity based on the unique physiological characteristic (physical and behavior) of human body such as finger print‚ iris‚ voice‚ DNA‚ face and signature‚ that can be identified using computer system where it can

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    BEAM DESIGN DESIGN LOAD 1. Calculate factored point load (P.43‚ Table 4.2) 2. Calculate max shear‚ V for all axis 3. Calculate max moment‚ M for all axis SECTION PROPERTIES 1. Write down all section properties (Section table) SECTION CLASSIFICATION 1. Obtain design strength‚ py (P.32‚ Table 3.2) 2. Calculate ε  3. 4. 5. Classify flange (P.66-68‚ Table 7.1-7.2‚ 7.3) Classify web (P.66-68‚ Table 7.1-7.2‚ 7.3) Conclude classification (選最差) 275 py LOCAL PLATE BUCKLING (有 COMPRESSION 先計)(FOR CLASS

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    Merger and Acquisition accounting in the UK and their effects to stock prices by Yan Shao 2006 A Dissertation presented in part consideration for the degree of MA in Finance and Investment Abstract There has been considerable controversy surrounding the accounting practices for mergers and acquisitions. The focus of this controversy has been on the differences in financial statements that arise under the two accounting methods: merger (pooling-ofinterests) (Add together the book

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    Financial Ratios and Ratio

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    Corporation is the seventh largest retailer company in the world. As of July 2012‚ it was the fifth largest retailer‚ and the largest membership warehouse club chain in the United States ("Wikipedia‚ the free‚" 2011). Costco Wholesale Corporation’s stock is publicly traded on the National Association of Securities Dealers Automated Quotation (NASDAQ) under the symbol “COST”‚ which I will use as reference throughout this report. Costco is a company with an inspiring story. They have revolutionized

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    Ratios

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    Liquidity Ratios: Current Ratio = Current Assets/Current Liabilities Efficiency Ratios Asset Turnover Ratio = Sales Revenue/ (Fixed Assets + Current Assets) Profitability Ratios Net Profit Margin = (Net Profit x 100) /Sales Revenue Return on Capital Employed = Net Profit (Operating Profit) x 100 (ROCE) Capital Employed Solvency Ratios Gearing Ratio = Total Liabilities/Shareholders Equity Investment Ratios Earnings per Share

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    E-Business Model Of Zappos

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    E-business (or electronic business) is defined as “the term used to describe using the internet to operate your business.” E-business is one of the fastest growing sectors and provides entrepreneurs with excellent opportunities to enter the market with a start-up company. One such companies being Zappos.com. Zappos‚ as well as similar sites such as Amazon are examples of e-businesses that created a new business model within a new environment‚ using the internet as a market place and giving way to

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    Effect of hurricane katrina on insurance industry stock prices Abstract This study tests the efficient market theory by measuring the effects of Hurricane Katrina‚ one of the most deadly and destructive natural disasters to occur in the United States‚ on stock prices in insurance industry. It hypothesizes that insurance providers who offer services in the areas affected by Hurricane Katrina should incur a loss in the market-price of their stock following the natural disaster. This event study

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    company is now listed on the NASDAQ stock exchange under the ticker symbol . The company’s mission statement from the outset was "to organize the world’s information and make it universally accessible and useful”‚ and the company’s unofficial slogan is "Don’t be evil”. In 2006‚ the company moved to its current headquarters in Mountain View‚ California. Objectives 1. To fit a multiple regression model to a data set comprising the put‚ call and strike prices of a stock belonging to a company listed

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    Stock Market Prediction Using Artificial Neural Networks Tariq Waheed in supervision of Dr. Xiang Cheng Department of Electrical and Computer Engineering‚ National University of Singapore Engineering Drive 3 Singapore 117576‚ Email: tariq@nus.edu.sg Abstract— Stock market is a very dynamic field whose prediction still remains a very challenging task for scholars and veteran traders alike. The study presented in this paper is an attempt to predict the daily and weekly rates of returns of the stock

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