Note To Receive Credit: Show Work On All Problems
Note To Receive Credit Show Work On All Problems It Can Be Shown As
Note: To receive credit, show work on all problems (It can be shown as Excel or financial calculator inputs as well) on either this sheet or in Excel.
Problem 1: Financial analysis of Hewlett Packard and General Motors
The first problem involves calculating the Cash Conversion Cycle (CCC) for Hewlett Packard (HP) and General Motors (GM) based on given financial data as of October 31, 2008. The CCC measures the time, in days, it takes for a company to convert its investments in inventory and other resources into cash flows from sales. It is a critical indicator of liquidity and operational efficiency, calculated as:
CCC = Days Inventory Outstanding (DIO) + Days Sales Outstanding (DSO) - Days Payables Outstanding (DPO)
Where:
- Days Inventory Outstanding (DIO): The average number of days the company holds inventory before selling it. Calculated as:
DIO = (Average Inventory / Cost of Goods Sold) x 365
- Days Sales Outstanding (DSO): The average number of days it takes to collect receivables. Calculated as:
DSO = (Accounts Receivable / Sales) x 365
- Days Payables Outstanding (DPO): The average number of days the company takes to pay its suppliers. Calculated as:
DPO = (Accounts Payable / Cost of Goods Sold) x 365
Using the provided data, one computes each component for HP and GM and then determines the CCC for each company, providing insights into their operational efficiency and liquidity management as of the specified date.
Problem 2: Cash Conversion Cycle of Network Solutions
Network Solutions has introduced a fully automated manufacturing plant producing 2,000 routers daily with a material cost of $50 per router. The key data include:
- Average inventory holding period: 45 days
- Accounts payable period: 30 days
- Receivables collection period: 25 days
a. To compute the cash conversion cycle (CCC), we use the formula:
CCC = Inventory Days + Receivables Days - Payables Days = 45 + 25 - 30 = 40 days
b. If the company extends its payment period to suppliers from 30 to 50 days, the new CCC becomes:
CCC = 45 + 25 - 50 = 20 days
This extension reduces the company's cash cycle duration, improving liquidity by delaying cash outflows and effectively freeing up cash for other uses.
Problem 3: Cost of Forgoing Cash Discounts
Ashley’s Delivery Service evaluates three suppliers—A, B, and C—Each provides trade credit terms, typically involving cash discounts for early payments. To determine the approximate annual cost of foregoing these discounts, the calculation considers the discount percentage, the discount period (how many days early the payment is made), and the full payment period. The formula approximates the annualized cost as:
Cost of forgoing discount ≈ (Discount % / (1 - Discount %)) x (360 / (Full payment period - Discount period))
This calculation reveals the cost, on an annual basis, of delaying payments beyond the earliest discounted terms, which can inform cash management and negotiation strategies with suppliers.
Problem 4: Cost of Forgoing Trade Credit Discount
If a firm has trade credit terms of 2/10, net 50, and opts to pay the full net amount on day 50 instead of taking advantage of the 2% discount on day 10, the annualized interest cost of this decision is calculated as:
Interest cost = [(Full price - Discount price) / Discount price] x (360 / (Net days - Discount days))
= [($100 - $98) / $98] x (360 / (50 - 10)) ≈ 7.35%
This indicates the effective annual interest rate if the firm chooses not to take the early payment discount, and helps determine if the cash discount is worthwhile relative to other financing options.
Problem 5: Interest Rate Calculation for Short-term Borrowing
Borrowing $20,000 at an annual rate of 10% for six months involves calculating the actual interest paid and then annualizing this rate. Using simple interest:
Interest = Principal x Rate x Time
= $20,000 x 10% x (6/12) = $1,000
As the interest paid is $1,000 over six months, the effective annual rate is:
Annualized rate = (Interest / Principal) x (12 / 6) = (1,000 / 20,000) x 2 = 10%
Thus, the nominal rate remains 10%, but the actual cost of the short-term loan over six months confirms the annualized rate for comparison purposes.
Problem 6: Economic Order Quantity Calculation for Tiger Corporation
The EOQ model minimizes total inventory costs by balancing ordering costs and holding costs. Given data include:
- Annual demand (D): 1,200,000 units
- Order cost (S): $25
- Unit cost (C): $2
- Carrying cost rate: 27% of unit cost
The EOQ is calculated as:
EOQ = √[(2 x D x S) / (H)]
Where H (annual holding cost per unit) = C x holding cost rate = $2 x 0.27 = $0.54
EOQ = √[(2 x 1,200,000 x 25) / 0.54] ≈ √[(60,000,000) / 0.54] ≈ √111,111,111.11 ≈ 10,540 units
This EOQ suggests the optimal order size to minimize total inventory costs is approximately 10,540 units per order.
Problem 7: Economic Order Quantity with Safety Stock
Alexis Company uses 800 units annually, with a fixed order cost of $50, and a per-unit holding cost of $2. The ordering and safety stock considerations include:
- Demand (D): 800 units per year
- Order cost (S): $50
- Unit cost: Not specified, but holding costs are given
- Lead time: 5 days
- Safety stock: Holding 10 days’ worth of demand as safety stock
First, calculate the daily demand:
Daily demand = D / 365 ≈ 800 / 365 ≈ 2.19 units per day
Safety stock = daily demand x safety days = 2.19 x 10 ≈ 22 units
Using the EOQ formula:
EOQ = √[(2 x D x S) / H] = √[(2 x 800 x 50) / 2] = √[(80,000) / 2] = √40,000 ≈ 200 units
The EOQ is approximately 200 units, balancing ordering costs and inventory holding costs, with safety stock adjustments to avoid stockouts during lead times.
References
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- Covin, R. J., & Shapiro, D. M. (2007). Managing legal risks in supply chains. Harvard Business Review, 85(2), 180-191.
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- Hill, C. W. L., & Jones, G. R. (2012). Strategic Management: An Integrated Approach. Cengage Learning.
- Higgins, R. C. (2012). Analysis for Financial Management. McGraw-Hill Education.
- Simchi-Levi, D., Kaminsky, P., & Simchi-Levi, E. (2008). Designing and Managing the Supply Chain. McGraw-Hill.
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- Van Horne, J. C., & Wachowicz, J. M. (2008). Fundamentals of Financial Management. Pearson.
- Wang, Y., & Chen, H. (2019). Inventory Management and Control. Journal of Operations Management, 65, 71-89.