Why has the value of cash increased over time? * Thomas W. Bates Arizona State University Thomas.Bates@asu.edu Ching-Hung (Henry) Chang Arizona State University Ching-Hung.Chang@asu.edu Jianxin (Daniel) Chi University of Nevada‚ Las Vegas Daniel.Chi@unlv.edu First Draft: January 2011 This Draft: December 2011 Abstract: The value of cash holdings by U.S. non-financial firms has increased significantly over the past three decades. An additional dollar of cash holdings is valued at $0.61 in
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EXAM REVIEW WEEK ONE Chapters 1‚ 2‚ and 6 1. Describe the main elements of an “Operations Systems” model. a. The main elements of an Operations Systems model are the inputs‚ that go through the transformation process‚ then they become outputs. There is also the planning and control subsystem which is the feedback mechanism. 2. What are the primary differences between manufacturing and service operations? b. There are 5
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Sheet “Population of Arizona” in HW 2 perform the following functions in Excel and answer the following questions. a. Use a 2 period moving average to forecast the Population of Arizona for the year 2010 – do the calculations from 1929-2010. (5 Points) b. Calculate the Mean Absolute Deviation for this Data Set (5 Points) c. Use a 3 period weighted moving average (previous Year 60%‚ 2 years Previous 30% and 3 years previous 10%) to forecast the Population of Arizona for the year 2010 – do the calculations
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Actual Month Demand 1 62 2 65 3 68 4 70 5 72 6 74 a. Calculate the simple 3-month moving average forecast for periods 4-6. (5 points) b. Calculate the weighted 3-month moving average using weights of 0.50‚ 0.30‚ and 0.20 for periods 4-6. (5 points) c. Calculate the exponential smoothing forecast for periods 2-6 using an initial forecast (F1) 62‚ and an of 0.30. (10 points) d.
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FORECASTING FORECASTING The Role of the Manager Planning Organizing Staffing Leading Controlling Future ? Data Information • Short-range • Medium-range • Long-range Features Common to All Forecasts Forecasting techniques generally assume that same underlying causal system that existed in the past will continue to exist in the future. Forecasts are rarely perfect. Forecasts for groups of items tend to be more accurate than forecasts for individual items. Forecast
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forecasting methods In using simple exponential smoothing‚ what do we do if we do not have a forecast for the first period Which component of time series do we smoothen with exponential smoothing With moving averages As a forecasting technique‚ is exponential smoothing always better than moving averages What happens when we increase alpha EMBED Equation.DSMT4 Are we giving more or less
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Introduction to Management Science: Quantitative Methods: 50 Multiple Choice Questions Question 1 In a balanced transportation model where supply equals demand‚ a. all constraints are equalities b. none of the constraints are equalities c. all constraints are inequalities d. none of the constraints are inequalities Question 2 In a transportation problem‚ items are allocated from sources to destinations a. at a maximum cost b. at a minimum cost c. at a minimum profit d. at
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SCM 485 Exam 1 Review Forecast Notes Supply Chain Management Sequence of activities and organizations involved in producing and delivering a good or service SCM Define by Council of Supply Chain Management Professionals (CSCMP) Supply Chain Management encompasses the planning and management of all activity involved in sourcing and procurement‚ conversion‚ and all logistics management activities. Importantly‚ it also includes coordination and collaboration with channel partners‚ which can
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Study Guide for the Second Exam Aggregate Production Planning (APP) 1. What are the major inputs‚ constraints‚ and outputs of the aggregate production plan (APP)? 2. Does APP have to be in terms of a real product? 3. Where does APP fit in the hierarchy of plans? 4. What is a pure strategy? What is a mixed strategy? Give examples? How do we determine (judge) whether one plan is better than the other? 5. What is relevant (incremental) cost? Does it exist in accounting
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customer. 2. Quantitative Method- Used when situation is “stable” and historical data exists. Used for existing products and current technology. Involves mathematical techniques. E.G.‚ forecasting sales of color televisions. Naïve approach‚ moving averages‚ exponential smoothing‚ trend projection‚ linear regression. Time Series Forecasting- Set of evenly spaced numerical data. Obtained by observing response variable at regular time periods. Forecast based only on past values‚ no other variables
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