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|b Emerald Publishing
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|a UAMI
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|a Messer, Ron.
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|a Financial Modeling for Decision Making :
|b Using MS-Excel in Accounting and Finance /
|c Ron Messer.
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|a Bingley :
|b Emerald Publishing,
|c 2020.
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|c Ã2020
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|a 1 online resource
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|a Intro -- Half title page -- Title page -- Copyright page -- Dedication -- Contents -- About the Author -- Brief Summary -- Preface -- Chapter 1: Better Learning Decisions -- How to Learn (and Teach) Financial Modeling -- Learning Financial Modeling -- Teaching Financial Modeling -- Steps in Developing a Financial Model -- Some Common Excel Terminology -- Good Financial Modeling Practices4 -- Demonstration Exercise -- Case Facts5 -- Part 1: Decisions Made about the Future -- Planning -- Chapter 2: Break Even Decisions -- Background Theory -- Cost-Volume-Profit Analysis
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|a Determining Cost Functions -- Break-even Volumes -- Financial Management Techniques -- Relevant MS-Excel Functionality -- Demonstration Exercise -- Case Facts -- Chapter 3: Times Series Forecasting Decisions -- Background Theory -- Types of Forecasting Models -- Detecting Patterns in Time -- Time Series Forecasting Methods -- Financial Management Techniques -- Relevant Excel Functionality -- Demonstration Exercise -- Case Facts -- Step 1: Create a Scatterplot to Assess whether a Pattern Exists -- Step 2: Perform a Moving Average Forecast for at Least Three Time Intervals
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|a Step 3: Perform an Exponential Smoothing Forecast Using at Least Two Dampening Factors -- Step 4: Optimize the Exponential Smoothing Dampening Coefficient -- Step 5: Calculate and Evaluate the MAPE for all Forecasts -- Chapter 4: Capital Budgeting Decisions -- Background Theory -- The Importance of Cash Flows -- NPV, IRR, and Payback Period -- The Discount Rate -- Financial Management Techniques -- Relevant Excel Functionality -- Demonstration Exercise -- Case Facts -- Step 1: Determining the Discount Rate Using a Risk-adjusted Cost of Capital
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|a Step 2: Determining the Incremental Net Cash Flows for the Project -- Step 3: Developing a Base Case Scenario for to the Key Decision Variables -- Step 4: Determining the NPV, IRR and Payback Period for Each Scenario -- Chapter 5: Regression Analysis Decisions -- Background Theory -- Finding Correlations -- Determining Causation -- Regression Analysis -- Financial Management Techniques -- Relevant Excel Functionality -- Demonstration Exercise -- Case Facts -- Step 1: Exploring Relationships -- Step 2: Creating Scatterplots -- Step 3: Measuring Correlations
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|a Step 4: Determine Dependent and Independent Variables -- Step 5: Create a Single-variable Regression -- Step 6: Create a Multivariable Regression -- Step 7: Optimize the Model -- Nonnumeric Variables -- Interaction Variables -- Part 2: Decisions Made about the Present -- Control -- Chapter 6: Linear Programming Decisions -- Background Theory -- Some History -- Product Mix -- Production Scheduling -- Financial Management Techniques -- Relevant Excel Functionality -- Demonstration Exercise 1 -- Case Facts -- Step 1: Create the Excel Worksheet Model -- Step 2: Complete the Excel Solver Dialog Box
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|a This book provides accounting students in post-secondary institutions with an advanced level understanding of how to use MS-Excel to make business decisions. It reflects real-life applications of this important analytical tool, which has become the accepted industry standard for spreadsheet software.
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|a Online resource; title from digital title page (viewed on September 28, 2020).
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|a Produced by the publisher.
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|a Held by CAPER-BC, Langara College.
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