Financial Analysis & Decision Making Flashcards
7 cards from real CSM practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Financial Analysis & Decision Making flashcards as text
Which working capital strategy accepts higher risk in exchange for lower financing costs?
Answer: Aggressive strategy using more short-term financing
An aggressive working capital strategy relies heavily on cheaper short-term financing, which increases refinancing and interest rate risk.
The Du Pont framework decomposes Return on Equity (ROE) into which three components?
Answer: Net profit margin, asset turnover, equity multiplier
Du Pont analysis: ROE = Net Profit Margin × Asset Turnover × Equity Multiplier, separating profitability, efficiency, and leverage drivers.
A company is evaluating two mutually exclusive projects with different lives. The most appropriate comparison method is:
Answer: Equivalent Annual Annuity (EAA) method
The EAA method converts each project's NPV into an annual equivalent, enabling fair comparison of projects with different time horizons.
In zero-based budgeting (ZBB), each budget cycle requires managers to:
Answer: Justify every expenditure from scratch, not from prior-year baselines
ZBB eliminates the assumption that prior spending was justified, requiring each activity to prove its value in the current period.
A firm's degree of combined leverage (DCL) equals 4.0. If sales increase by 10%, EPS will increase by approximately:
Answer: 40%
DCL multiplies the percentage change in sales to get the percentage change in EPS: 10% × 4.0 = 40%.
Which scenario best illustrates the concept of 'financial synergy' in a merger?
Answer: The combined firm accesses lower-cost capital due to reduced risk and greater size
Financial synergy refers to benefits from improved access to capital markets, lower borrowing costs, or better credit ratings post-merger.
A strategic manager uses Monte Carlo simulation in financial modeling primarily to:
Answer: Understand the probability distribution of outcomes across thousands of scenarios
Monte Carlo simulation runs thousands of random scenarios using input distributions, producing a probability distribution of possible outcomes rather than a single-point estimate.