22.12.2009 EN Official Journal of the European Union L 342/59 REGULATION (EC) No 1223/2009 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 30 November 2009 on cosmetic products (recast) (Text with EEA relevance) THE EUROPEAN PARLIAMENT AND THE COUNCIL OF THE EURO PEAN UNION‚ (5) Having regard to the Treaty establishing the European Commu nity‚ and in particular Article 95 thereof‚ Having regard to the proposal from the Commission‚ Having regard to the opinion of the European Economic
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How did Stalin transform the Russian economy? 1924-1941 In 1924‚ Russia faced significant economic‚ political and social changes. In the next 17 years‚ a relatively short period of time‚ Russia‚ under Stalin would undergo domestic measures. During this period we would see rapid industrialisation‚ enormous growth in agriculture and a tripling in the workforce‚ resulting in a modernised Russian economy. Without exception‚ all of the economic policies introduced were ruthless and designed to transform
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Choose one of the forecasting methods and explain the rationale behind using it in real life. I would choose to use the exponential smoothing forecast method. Exponential smoothing method is an average method that reacts more strongly to recent changes in demand than to more distant past data. Using this data will show how the forecast will react more strongly to immediate changes in the data. This is good to examine when dealing with seasonal patterns and trends that may be taking place. I would
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Demand Forecasting Problems Simple Regression a) RCB manufacturers black & white television sets for overseas markets. Annual exports in thousands of units are tabulated below for the past 6 years. Given the long term decline in exports‚ forecast the expected number of units to be exported next year. |Year |Exports |Year |Exports | |1 |33 |4 |26
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Commerce‚ and Intrabusiness EC Learning Objectives Upon completion of this chapter‚ you will be able to: 1. Define e-supply chain and describe its characteristics and components. 2. List supply chain problems and their causes. 3. List solutions to supply chain problems provided by EC. 4. Define c-commerce and list its major types. 5. Describe collaborative planning and Collaboration‚ Planning‚ Forecasting and Replenishing (CPFR)‚ and list their benefits. 6. Define intrabusiness EC and describe its major
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All England Law Reports/2004/Volume 4 /Shamil Bank of Bahrain EC v Beximco Pharmaceuticals Ltd and others - [2004] 4 All ER 1072 [2004] 4 All ER 1072 Shamil Bank of Bahrain EC v Beximco Pharmaceuticals Ltd and others [2004] EWCA Civ 19 COURT OF APPEAL ‚CIVIL DIVISION POTTER‚ LAWS AND ARDEN LJJ 11‚ 12 DECEMBER 2003‚ 28 JANUARY 2004 Conflict of laws - Contract - Proper law of contract - Bank - Bank entering into Islamic financing agreements with defendants - Governing law clause providing
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FINANCIAL FORECASSTING: 1) Initial Investment In the following table "Initial Investment"‚ this is for all disbursements required in the pre-operative project to be evaluated‚ i.e. all expenditures necessary for the company to begin operations and includes fixed assets. Current assets‚ i.e. all raw materials or products that the company will engage in selling. In addition‚ the initial investment table includes the composition of the investment that the company will need to boot‚ in simple words
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CHAPTER 16: FINANCIAL PLANNING AND FORECASTING 1. The first‚ and most critical‚ step in constructing a set of forecasted financial statements is the sales forecast. a. True b. False ANSWER: True 2. A typical sales forecast‚ though concerned with future events‚ will usually be based on recent historical trends and events as well as on forecasts of economic prospects. a. True b. False ANSWER: True 3. Errors in the sales forecast can be offset by similar errors in costs and income forecasts
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Financial Econometrics Modeling and Forecasting Natural Gas Prices Abstract In this project we will model and forecast the natural gas prices over the short-term through the development of the Error Correction Model (ECM). This is presented as the best predictive model among various alternatives. To build this model‚ we gathered the oil prices to analyze the impact of the changes in these prices on the changes in natural gas prices. The results of the forecasting exercise‚ carried out using the
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Qantas | 2007 | 2008 | 2009 | 2010 | 2011 | Revenue | 15060 | 15627 | 14552 | 13772 | 14894 | Net income($M) | 673 | 970 | 123 | 116 | 249 | Net profit margin | 4.48% | 6.23% | 0.85% | 0.84% | 1.67% | × Asset turnover | 0.77 | 0.79 | 0.73 | 0.69 | 0.71 | = ROA | 3.45% | 4.92% | 0.61% | 0.58% | 1.19% | × Financial leverage | 3.45 | 3.44 | 3.49 | 3.34 | 3.40 | = ROE | 11.93% | 16.91% | 2.13% | 1.94% | 4.05% | NOPAT margin | 6.48% | 8.72% | 1.40% | 1
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