Title New strategies for FMCG companies Author Source References sreekanth reddy‚ MBA II Mktg Forthright 1. Marketing Management‚ Phillip Kotler 2. site.securities.com 3. FT.com 4. The Economist 5. www.wikipedia.org Document Type Secondary Analysis Subject Date Abstract The FMCG sector is undergoing a slow but definite change towards higher productivity gains in spite of decreasing retail prices. In this scenario it is important for the companies to innovate‚ use economies of scale and
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FMCG firms in a fix over pricing strategy | | | | Some relief is on the way for fast-moving consumer goods( FMCG) companies‚ with prices of crude oil‚ wheat‚ milk and palm oil either on the decline or stabilising. Even as flexible packaging prices — which had become a new headache for FMCG companies — may come down on the back of stable crude oil prices‚ the verdict on production costs is still unclear. While palm oil prices have crashed by almost 40 per cent‚ wheat and milk rates are
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“Fundamental Analysis‚ Future Earnings and Sandip Mukherji‚ Manjeet and Kim (1997) “A Fundamental Analysis of Korean Stock Jiang Xia (2000) “Fundamental Analysis of Price on Chinese Steel Products” Doctoral Dissertation issue retrieved on Feb. 12‚ 2013. 2013 issue retrieved on Feb. 12‚ 2013. 14. http://www.slideshare.net “FMCG-IndiaIndustry-Analysis? retrieved on Sept. 15‚ 2012.
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Competitive Model for FMCG Industry: 1. Rivalry among Competing Firms: In the FMCG Industry‚ rivalry among competitors is very fierce. There are scarce customers because the industry is highly saturated and the competitors try to snatch their share of market. Market Players use all sorts of tactics and activities from intensive advertisement campaigns to promotional stuff and price wars etc. Hence the intensity of rivalry is very high. 2. Potential Entry of New Competitors: FMCG Industry does not
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running a business. Objectives The aim of this section is to help you to prepare financial forecasts. It will enable you to: • Understand costing and pricing; • Use break-even analysis as a way of setting sales targets; • Understand financial forecasting; and‚ • Assess working capital requirements. Assignment The purpose of these assignments is to ensure that you are able to prepare the necessary financial forecasts for your business. Satisfactory completion of the set of assignments
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----------------------------------- 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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ANALYSIS :- In this era of high volatility in markets‚ investors look at several parameters before investing in stocks for example EPS‚ earning growth rate‚ debt/equity ‚ p/e ratios. These parameters will no doubt help us to select the best companies but beta is one such parameter which can tell us about the returns with the volatility of a particular stock with respect to market. The concept of beta is actually very simple - it ’s a measure of individual stock risk relative to the overall
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Demand Estimation Demand Curve Estimation ■ Simple Linear Demand Curves ■ The best estimation method balances marginal costs and marginal benefits. ■ Simple linear relations are useful for demand estimation. ■ Using Simple Linear Demand Curves ■ Straight-line relations give useful approximations. Identification Problem ■ Changing Nature of Demand Relations ■ Demand relations are dynamic. ■ Interplay of Supply and Demand ■ Economic
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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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fashion forecasting “Forecasting provides a way for executives to expand their thinking about changes‚ through anticipating the future‚ and projecting the likely outcomes.” (Lavenback and Cleary 1981) Long term forecasting (over 2 years ahead) is used by executives for planning purposes. It is also used for marketing managers to position products in the marketplace in relationship to competition. (http://www.fibre2fashion.com/industry-article/free-fashion-industry-article/fashion-forecasting/fashion-forecasting5
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