LECTURE 3 CASH BUDGETING CLASS QUESTION 1 Alberta Limited needs a cash budget for the month of November. The following information is available: The cash balance on November 1 is $6‚000. Sales for October and November are $80‚000 and $60‚000 respectively. Cash collections on sales are 30 percent in the month of sale‚ 65 percent in the following month‚ and 5 percent uncollectible. General expenses are budgeted to be $23‚000 for November. Inventory purchases will total $30‚000 in October and
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1) Raw data‚ not seasonalized 2) Seasonal Adjustment used: Census II X-12 multiplicative (MASA): Used because of the presence of seasonal variations that are increasing with the level of my series. Increasing degree of variability overtime… TX non seasonalized and seasonalized 3) Combined seasonally adjusted with non-seasonally adjusted De-seasonalizing the data helped with the removal of seasonal component that creates higher volatility in model. Now‚ variations
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CONTENTS 1.0. Introduction 2 2.0. Competitive Priority 3 2.1. The sales division 3 2.2. The cafeteria 4 2.3. The hire branch 5 3.0. FORECASTING 6 3.1. Time series 6 4.0. Discussion 7 4.1. Expend Population 7 4.2. Environmental 8 5.0. Conclusion 8 6.0. Recommendation 错误! 未定义书签。 7.0. References 10 1.1. Introduction Gardening becomes hugely popular in the last decade‚ and this trend will continue. According to Key Note (2014)‚ over the next 5 years‚ a considerable growth of 3.3% in the garden market
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Eight Steps to Forecasting • Determine the use of the forecast □ What objective are we trying to obtain? • Select the items to be forecast • Determine the time horizon of the forecast □ Short time horizon – 1 to 30 days □ Medium time horizon – 1 to 12 months □ Long time horizon – more than 1 year • Select the forecasting model(s) |Description |Qualitative Approach |Quantitative Approach
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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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Case Analysis on RJR Nabisco Towards a course in Finance – FIN 620: Financial Administration Policies Submitted by Benjamin T. Schultz‚ Gail Olsen & Raj K Bhutani To Dr. Susan E. Moeller Eastern Michigan University‚ Ypsilanti‚ Michigan Table of Contents I Problem Statement 3 II Analysis of Economic and Industry Data 3 II.1 What is LBO? 3 II.2 RJR and Smoking 3 III Analysis of Alternative Solutions 4 III.1 Strengths of KKR: 4 III.2 Weaknesses of KKR 5
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on the importance of forecasting. The presentation would be done along the following lines. * THE MEANING OF FORECASTING * STEPS USED TO DEVELOP A FORECASTING SYSTEM * QUALITATIVE FORECASTING * QUANTITATIVE FORECASTING * BENEFITS OF FORECASTING THE MEANING OF FORECASTING A planning tool that helps management in its attempts to cope with the uncertainty of the future‚ relying mainly on data from the past and present and analysis of trends. Forecasting entails the use of
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Forecasting "Best Practices" "Effective demand planning and sales forecasting across the supply chain can bring a host of benefits. Specifically‚ it can help improve labor productivity‚ reduce head count‚ cut inventories‚ and speed up production flows‚ and increase revenues and profits. -Edward J. Marien To find the "best practices" for forecasting‚ our team researched many cases of forecasting success‚ and found five companies with a common theme. Rayovac‚ the Coca-Cola Bottling Company
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WEATHER ANALYSIS & FORECASTING ** Weather Analysis: process of collecting‚ compiling‚ analyzing and transmitting the observational data of atmospheric conditions *this data & analysis is then used to forecast future weather conditions * Types of data: * Each weather station‚ 10‚000 around the world‚ collects the same data at the same time‚ at least 4 times per day(0000‚ 0600‚1200‚ 1800 GMT) * Most US stations also collect data continuously or at least every hour
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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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