----------------------------------- Jul 23‚ 2006 Industry Report of the FMCG sector profiling P&G‚UL‚KMN‚ ----------------------------------- Financial Statement Analysis In the healthy and growth inducing economic scenario of the 2000’s‚ P&G has seen double digit revenues growth to around $56b in 2005. Keeping its costs low has seen it achieve healthy profit margins of around 11% - 12%. Refer Table 1. Table 1 Margins P&G (in %) 2003 2004 2005 Gross Margin 49 51
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Forecasting HSM 260 07/19/2013 Forecasting Exercise 9.1 In the text‚ exercise 9.1 provides data for Palmdale Human Services. In this exercise it asks for the 20X5 figures using several forecasting models. The process of find 20X5 will include the use of moving averages‚ weighted moving averages‚ and exponential smoothing. The Palmdale Human Services personal expenses for the past four years are represented in the following data: Fiscal Year | Expense | 20X1 | $5‚250‚000 | 20X2 | $5‚500
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Chapter 6: Prospective Analysis: Forecasting Key Concepts in Chapter 6 • Strategy‚ accounting and financial performance analyses provide valuable information that help to shape forecast assumptions. • Forecasts of future performance should be comprehensive‚ including all condensed financial statements. • The starting point for forecasts should be the time series behaviour of key measures such as sales growth‚ earnings and ROE (and its components). Overall Structure of the Forecast • Typically
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2011 • Zagreb‚ Croatia Electricity price forecasting – ARIMA model approach Tina Jakaša #1‚ Ivan Andročec #2‚ Petar Sprčić *3 Hrvatska elektroprivreda Ulica grada Vukovara 37‚ Zagreb‚ Croatia 2 # tina.jakasa@hep.hr ivan.androcec@hep.hr 1 * HEP Trade Ulica grada Vukovara 37‚ Zagreb‚ Croatia 2 petar.sprcic@hep.hr Abstract— Electricity price forecasting is becoming more important in everyday business of power utilities. Good forecasting models can increase effectiveness of producers
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Current Trends: Challenges faced by FMCG supply chain in India * Several layers of intermediaries does not allow the supply chain to be cost effective and efficient. * Use of IT and other systems like ERP‚RFID is not very prevalent. * Complex tax structure: High Indirect tax‚ lack of uniformity‚ high octroi and changing tax policies result in escalating prices at every level of supply chain. * Poorly developed agricultural infrastructure. * High power cost * Lack of proper
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1. Suppose there are 100 consumers with identical individual demand curves. When the price of a movie ticket is $8‚ the quantity demanded for each person is 5. When the price is $4‚ the quantity demanded for each person is 9. Assuming the law of demand holds‚ which of the following choices is the most likely quantity demanded in the market when the price is $6? Explain and show calculations‚ While the question asks of the choices given what the quantity demanded will be‚ there are no choices
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Economic Forecasting Paper Rebecca Sloop University Of Phoenix Principles of Macroeconomics ECO/372 Alexander Heil PhD November 23‚ 2012 Economic Forecasting Paper Two historical economic data where information can be found are Bureau of Economic Analysis‚ U.S. Department of Commerce and FRED‚ Economic Time-Series Database. The FRED database comprises the national economic and financial statistics as well as interest rates‚ consumer price indexes‚ employment and population and trade data
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Financial and Economic Forecasting The Civilian Unemployment Rate By: Doug Hanig Due: 5/15/12 Doug Hanig Professor Hecht Finc-411 3/12/12 Part 1 A. Civilian Unemployment Rate (FRED Database) Government Agency: US Department of Labor: Bureau of Labor statistics B. The government would be interested in this forecast for many reasons. By forecasting the civilian unemployment rate‚ the government can have an idea of how stable
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Quantitative Methods ADMS 3330 3 0 3330.3.0 Forecasting QMB Chapter 6 © M.Rochon 2013 Quantitative Approaches to Forecasting Are based on analysis of historical data concerning one or more time series. Time series - a set of observations measured at successive points in time‚ or over successive periods of time. If the historical data: • are restricted to past values of the series we are trying to forecast‚ it is a time series method. 1 Components of a Time Series 1)
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References: 1. Viveat Susan Pinto‚ “2010 was M&A year for FMCG”‚ Business Standard‚ December 2010; http://www.business-standard.com/article/companies/2010-was-m-a-year-for-fmcg-110122100115_1.html (as on Sep 11‚ 2013) 2 3. “Government allows up to 51% FDI in multi-brand retail‚ 100% in single brand”‚ The Economic Times‚ Jul 2013; http://articles.economictimes.indiatimes
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