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CFA Level II Updated
What valuation techniques are used in purchase price allocation to determine the fair value of acquired assets and liabilities?
Purchase price allocation uses three main valuation approaches: the market approach for tangible assets with active markets, the income approach (relief-from-royalty, multi-period excess earnings) for intangibles like technology and customer relationships, and the cost approach for specialized assets without comparable transactions.
How are pro forma financial statements constructed for an M&A transaction, and what adjustments are typically needed?
Pro forma statements combine the acquirer's and target's full-year financials as if the deal closed on day one, then apply purchase accounting adjustments for fair-value step-ups, new financing costs, and intercompany eliminations while excluding transaction costs and anticipated synergies.
What specific disclosures does IFRS 3 require for a business combination, and how should an acquirer present them in practice?
IFRS 3 requires the acquirer to disclose the acquiree's name, acquisition date, percentage acquired, primary reasons for the combination including goodwill drivers, a breakdown of consideration by class, recognized assets and liabilities at fair value, and pro forma revenue and earnings as if the deal closed at the start of the reporting period.
What are the key credit analysis differences between general obligation and revenue municipal bonds?
GO bonds require analysis of the municipality's overall fiscal health, tax base strength, and debt burden, while revenue bonds demand project-level cash flow analysis including DSCR, rate covenants, and demand elasticity. The legal structure determines which credit framework applies.
How does Monte Carlo simulation work for pricing options, and when is it preferred over closed-form models?
Monte Carlo simulation prices options by simulating thousands of random price paths, computing the option payoff for each, and averaging discounted payoffs. It is preferred over closed-form models for path-dependent options, multi-asset options, and complex payoff structures where analytical solutions do not exist.
What is the Betting Against Beta (BAB) factor, and how does leverage aversion create a persistent return premium for low-beta stocks?
The BAB factor goes long leveraged low-beta stocks and short de-leveraged high-beta stocks, both scaled to beta 1.0, creating a market-neutral portfolio. The premium (7-9% annually) exists because leverage-constrained investors overpay for high-beta stocks as leverage substitutes.
What is the Quality Minus Junk (QMJ) factor, and how do researchers define 'quality' in the context of factor-based equity investing?
The Quality Minus Junk factor defines quality through profitability (high ROE, gross margins), growth (expanding earnings), and safety (low leverage, low beta). The QMJ premium averages 3-5% annually across markets and persists after controlling for value, size, and momentum factors.
What is a Maximum Diversification portfolio, and how does the diversification ratio measure portfolio efficiency?
The Maximum Diversification portfolio maximizes the ratio of weighted average asset volatilities to portfolio volatility, capturing the greatest possible diversification benefit from imperfect correlations. It typically achieves diversification ratios of 1.30-1.50 versus 1.05-1.15 for cap-weighted portfolios.
How is a minimum volatility portfolio constructed, and why does the low-volatility anomaly challenge the CAPM prediction that higher risk equals higher return?
Minimum volatility portfolios minimize total variance through constrained optimization, achieving 25-35% lower volatility than cap-weighted benchmarks while capturing 80-90% of returns. The low-vol anomaly persists due to leverage constraints, lottery preferences, and institutional benchmarking incentives.
What is an Equal Risk Contribution portfolio, and how does the allocation methodology differ from equal weighting or minimum variance?
Equal Risk Contribution portfolios weight assets so each contributes identical risk to total portfolio variance. Unlike equal weighting (which ignores risk) or minimum variance (which concentrates in low-vol assets), ERC diversifies risk sources while maintaining meaningful exposure to all portfolio components.
How does fundamental indexation work, and what is the theoretical argument for weighting stocks by economic footprint rather than market capitalization?
Fundamental indexation weights stocks by economic size measures (revenue, book value, dividends, cash flow) rather than market cap, arguing that cap-weighting systematically overweights overvalued stocks. Critics contend the outperformance is simply a repackaged value-size factor tilt with higher turnover costs.
What are the main sources of tracking error in smart beta ETFs, and how should they differ from traditional market-cap-weighted index ETFs?
Smart beta ETFs have two layers of tracking error: structural deviation from cap-weighted benchmarks (intended and desired) and implementation deviation from their own index (unintended). Implementation sources include higher rebalancing costs, turnover, liquidity impact, and reconstitution front-running.
What is factor crowding risk, and how can analysts measure whether a popular factor strategy has become too crowded to be profitable?
Factor crowding occurs when excessive capital compresses a strategy's expected premium and creates correlated unwind risk. Analysts can measure crowding through valuation spread widening, rising pairwise correlation, short interest concentration, and estimated factor AUM relative to market capacity.
What is the difference between earnings momentum and price momentum, and can combining them improve portfolio performance?
Price momentum ranks stocks by past returns while earnings momentum ranks by earnings surprises or analyst revisions. They have approximately 0.3-0.4 correlation, and combining both produces a higher information ratio because they capture different dimensions of market underreaction.
How is a price momentum strategy implemented in practice, and what are the key decisions around formation period, holding period, and rebalancing?
Price momentum strategies rank stocks by 12-minus-1-month returns, go long the top decile and short the bottom decile, then hold for 1-6 months. Key implementation decisions include the skip month to avoid reversal, overlapping portfolios to reduce turnover, and crash risk management.
What is the Integrated Reporting Framework, and how does the six-capitals model help analysts assess long-term value creation beyond traditional financial metrics?
The Integrated Reporting Framework's six-capitals model — financial, manufactured, intellectual, human, social/relationship, and natural — extends analysis beyond financial metrics to assess long-term value creation sustainability. It helps identify risks in non-financial capitals and evaluate stranded asset exposure.
How does XBRL tagging quality affect financial statement analysis, and what common tagging errors should analysts be aware of?
XBRL tagging errors — including sign mistakes, element misapplication, extension abuse, and scaling problems — can systematically mislead quantitative screening models. Analysts should cross-validate XBRL data against rendered statements and flag statistical outliers for manual review.
What is the significance of internal controls over financial reporting (ICFR), and how should analysts interpret a material weakness disclosure?
Material weaknesses in ICFR indicate a reasonable possibility that material misstatements will not be prevented or detected. Analysts should increase discount rates, weight cash-flow valuations more heavily, and monitor remediation progress, as companies with material weaknesses face 15-20% restatement probability.
What are the different types of auditor opinions, and how should each type affect an analyst's confidence in the financial statements?
The four audit opinion types — unqualified, qualified, adverse, and disclaimer — carry escalating implications for financial statement reliability. Qualified opinions require specific adjustments, adverse opinions signal pervasive misstatement, and disclaimers indicate insufficient evidence for any opinion.
How should analysts critically evaluate the Management Discussion and Analysis (MD&A) section, and what distinguishes high-quality from low-quality MD&A disclosure?
High-quality MD&A provides specific dollar-amount drivers of performance changes, quantified forward guidance with timelines, and balanced discussion of risks. Low-quality MD&A relies on boilerplate language, vague attributions to market conditions, and avoids concrete commitments.
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