BEC 6 - Planning, Control, Analysis, & Risk Management Flashcards
Strategic Planning
Setting long term overall goals and policies which help guide the overall goals and policies
Tactical Planning
short term objectives and temporary techniques
Strategic Plannings Steps
- Mission Statement 2. ID Goals and Objectives 3. Performance Measures 4. Tactics
Master Budget
a static budget for the company as a whole to summarize individual budgets 2 Major Budgets: 1. Operating Budget 2. Financing Budget
Operating Budget
projected income statement with various supporting schedules
Financing Budget
projected CAPITAL budget, CASH budget, Balance Sheet, & Statement of Cash Flows - usually for 1 year but could be a rolling budget as well
Static Budget
serve to analyze conditions for a SPECIFIC LEVEL of activity - do not change each time some volume changes - set up for extended period of time
Kaizen Budgeting
- managers make cost projections that incorporate their expectations for future improvements - if those improvements are not met, budget (goals) cannot be met
Kaizen Approach
focus on continually identifying and implementing small improvements, instead of focusing on major breakthroughs or large structural changes “anti-hollistic”
Preparing A Master Budget Steps
- Estimate Sales Volume 2. Estimate Revenues (based on Sales Volume) 3. Estimate Collections (based on Revenues) 4. Estimate COGS based on # of units sold 5. Estimate # of units to be manufactured (based on finished goods inventory, budgeted ending inventory, & COGS) 6. Estimate Material Needs, Labor costs, & OH costs (based on #5) 7. Budget Purchases (based on material needs, current raw materials inventory, & budgeted ending inventory) 8. Estimate Payments (based on purchase terms) 9. Analyze expense & payment patterns to complete operating and CF budgets
Budgeting Material Purchases & Payments (STEPS)
- Units to be Manufactured 2. Units of Raw Material required for Production 3. Budgeted Raw Materials Purchases 4. Budgeted Payments for Raw Materials
Units to Be Manufactured Formula
B: Units Sold A: +Budgeted Increase in Finished Goods S: - Budgeted Decrease in Fin. Goods E: = Units to be Manufactured (1)
Units of Raw Material required for Production Formula
Units to be Manufactured x Units of RM per unit of Fin. Goods = Units of RM required for Production (2)
Budgeted Raw Material Purchases Formula
B: Units of RM required for Production A: +Budgeted Increase in RM S: - E: = Budgeted RM Purchases (3)
Budgeted Payments for Raw Material Formula
B: Budgeted RM Purchases A: +Budgeted DECREASE in AP S: - E: = Budgeted Payments for RM (4)
Production Budget Formula
S: Budgeted Sales E: + Desired End. Inventory of Finished Goods = Total Needs B: - A: = # of Units to be Produced
Order of Budget Preparation
- Sales Budget 2. Production Budget 3. Direct/Raw Materials Purchases Budget 4. Cash Disbursement Budget
Flexible Budgeting
may be adjusted for changes in VOLUMES - use direct costing method
“b” Variable in Flexible Costing
Variable Costs / Sales = Variable Rate
Advantage of Flexible Budgeting
Can readily adapt to changes in VC that result from changes in Sales Level (independent variable)
Correlation Coefficient (“p” or Rho)
- closer to -1 or +1 is a stronger relationship - +1 = Direct Relationship (upwards slope) - 0 = No Relationship - -1 = Indirect Relationship
Regression Analysis
- provides streamlined approach to test which independent variable is the best predictor (or more) for 1 dependent variable
What are 3 measures to compare model specifications in Regression Analysis?
- Coefficient of Determination (R2) - F-statistic - t-statistic
Coefficient of Determination
- goodness of fit - “R2” - the percentage of variation in the dependent variable explained by the variation in the independent variable - commonly expressed with values ranging between (0-1)
F-statistic
measure of statistical significance (relevant) of the model specification
“p” value attached to a F-stat
the probability that the overall predicted predicted relationship occurred by chance
T-statistics
with attached p-value for each independent variable, indicates their individual statistical significance (or relevance) in predicting the dependent variable p-value
P Values Range
< 0.01 ———– VERY RELIABLE 0.01 – 0.05 —- Reliable 0.05 - 0.10 —– Borderline Reliable >.10 ————- Not Reliable
Responsibility Accounting
- used to decrease defective units & increase efficiency in manufacturing & decrease costs - seek to ID which parties are responsible and seek to evaluate performance - ID cost drivers as accurately as possible (ABC)
Investment Center
responsible for all REVENUES, COSTS, & CAPITAL INVESTMENTS from each center
When should managers not be held responsible for costs?
for costs that the manager cannot affect - costs allocated to that dept. but have been incurred/directed by another level/other decisions - if the managers own salary is determined by someone other than the manager
Activity Based Costing (ABC)
- seeks to group together costs that are affected by common factors (cost driver or allocation base) - segregate mfg overhead into numerous cost pools with common elements that will result in a increase in the costs included in that pool - Costs classified as either “value-adding” or “non-value adding”
Value-Adding Costs
those that actually make the product itself or make it better for customers - customers perceive as increasing the worth of a product or service which they would pay more
Non-Value Adding Costs
- costs that increase the cost of a product but that customers do no specifically value - ie: moving/handling/storage of raw materials, factory utilities, depreciation of mfg equipment
Service Department Costs
Allocation of OH costs incurred by service departments to the appropriate prediction (or mfg) department 1. Direct Allocation Method 2. Step Allocation Method
Direct Allocation Method
firm allocates costs from each service department directly to & only to the production departments
Step Allocation Method
firm allocates costs from a service department to BOTH: A. Production departments B. “Temporarily or as a Step” to the other service departments (ranked from most performance to least performance) Process is repeated until the costs of all service departments have been allocated to production departments
Econometric Models
- company data & industry/economy-wide data for regressional analysis
Time Series Analysis
focuses on analyzing & forecasting data for a single firm over time
Total Return Formula
Distribution Rate + Growth Rate
Gordon Growth Model
(Next Dividend / Market Price) + Growth% = Dividend Yield Plus Growth
Portfolio Expected Return
WTD AVG of the expected return of the individual investments
Arithmetic (Simple) Average Rate of Return
Adds the returns of several period & divides by the # of periods
Geometric Average Return Rate
- single annual compound rate of return required to turn the initial value of investment into the final value of investment of the # of periods intervening - less than Arithmetic Average EXCEPT when all single period rates are identical
How to Calculate Standard Deviation
- Determine the Arithmetic Average Return 2. Calculate the difference from the average for each individual period 3. Square those differences 4. Determine the average of the squared values 5. Calculate the Square Root of this average
Standard Deviation measures
the volatility of an investment (risk)
Risk Averse
- demand higher expected returns from investments with higher SD - demand lower expected returns from investments with lower SD
Coefficient of Variation
- seeks to address shortcoming of SD’s & provide a measure of relative risk that readily comparable across investments of different size
Coefficient of Variation (CV) Calculation
SD / Average Expected Return
Modern Portfolio Theory (MPT)
- SD of a Portfolio < SD of the individual investments - since prices of various investments do NOT move up & down at the same time -1951 Henry Markowtiz
Covariance Matrix
measure of the degree of to which 2 or more investments move together +1 (Direct Relationship) -1 (Indirect Relationship) - interpretation is not straightforward so investors often use correlation coefficients (only 2 at a time)
When Covariance Matrix is <1.0
SD of Portfolio < The AVG of the SD of the individual investments