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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Issues 1.1 What is forecasting? Forecasting is the process of making statements about future happenings based on the previous data collected. Forecasting usually is an estimation of the future data‚ happenings‚ trends‚ values‚ etc for the specified date. A commonplace example is estimation of the expected value for some variable of interest at some specified future data. The forecasting is similar to the prediction‚ but more general term. However‚ as the term implies‚ forecasting is not necessarily
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TYPES OF FORECASTING METHODS Qualitative methods: These types of forecasting methods are based on judgments or opinions‚ and are subjective in nature. They do not rely on any mathematical computations. Quantitative methods: These types of forecasting methods are based on quantitative models‚ and are objective in nature. They rely heavily on mathematical computations. QUALITATIVE FORECASTING METHODS Qualitative Methods Executive Opinion Market Research Delphi
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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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Financial Modeling Templates Financial Forecasting (Pro Forma Financial Statements) http://spreadsheetml.com/finance/financialplanningforecasting_proformafinancialstatements.shtml Copyright (c) 2009‚ ConnectCode All Rights Reserved. ConnectCode accepts no responsibility for any adverse affect that may result from undertaking our training. Microsoft and Microsoft Excel are registered trademarks of Microsoft Corporation. All other product names are trademarks‚ registered trademarks‚ or service
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Economic Forecasting Paper Team B 04/28/2015 ECO/372 Mark Freeman Economic Forecasting Paper Utilizing valuable resources in Economic is essential and also identified as a key component for concluding results. Some the resources gathered are considered either quantitative forecasting factors or qualitative forecasting factors. These resources provide Economists with the data which supports the main theoretic objective and/or the arguing statement. Also the data gathered can inhabit the ability
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Methods and Techniques of Sales Forecasting by Kenneth Hamlett‚ Demand Media Sales forecasting methods and techniques vary from company to company. Every company that uses sales forecasts possesses its own technique to approach the forecasting process. Some companies have a dedicated team of forecast professionals while others use the sales staff to generate the forecast. The statistical methods used to generate the sales forecast depend on the demand profile of the product. Statistical forecast
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Chapter FORECASTING Discussion Questions 1. Qualitative models incorporate subjective factors into the forecasting model. Qualitative models are useful when subjective factors are important. When quantitative data are difficult to obtain‚ qualitative models may be appropriate. 2. Approaches are qualitative and quantitative. Qualitative is relatively subjective; quantitative uses numeric models. 3. Short-range (under 3 months)‚ medium-range (3 months to 3 years)‚ and long-range (over
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Automobile Industry Manufacturing process Forecasting. Operations management AUTOMOBILE INDUSTRY MANUFACTURING FORCASTING. Why automotive sector? Projected growth of the Indian auto industry translates to 10 -11 % of India GDP by 2016 Auto- component industry in India expected to be USD 45 billion. Policy initiative to market India as an attractive manufacturing destination. Automotive industry promises significant employment opportunities
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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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