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How do you calculate a bond's full price from its yield to maturity, and what's the difference between full price and clean price?
Bond pricing from YTM is the foundation of fixed income analysis at CFA Level I. The core idea is that a bond's price equals the present value of all future cash flows, discounted at the yield to maturity. Here's a step-by-step walkthrough with the distinction between full price and clean price.
FCFE vs. FCFF: what's the difference and when should I use each for valuation?
FCFF represents cash available to all capital providers and is discounted at WACC, while FCFE represents cash available to equity holders only and is discounted at the cost of equity. Use FCFF when capital structure is changing; use FCFE for direct equity valuation when leverage is stable.
How does the H-model work for valuation, and how is it different from a two-stage DDM?
The H-model is a simplified DDM that assumes growth declines linearly from a high rate to a stable rate, rather than dropping abruptly. The formula splits value into a stable-growth component and an extra premium for above-normal growth during the transition period.
What's the real difference between accrual and cash basis accounting, and how does accrual enable earnings manipulation?
Accrual accounting recognizes revenue when earned and expenses when incurred, regardless of cash timing. While this matches economic activity to the correct period, the inherent judgment in revenue timing, expense capitalization, and reserve estimates creates opportunities for earnings manipulation.
How do you calculate the cash conversion cycle and why does it matter for liquidity analysis?
The cash conversion cycle measures how many days a company's cash is tied up in operations before it comes back as cash from sales. CCC = DOH + DSO - DPO, where DOH measures inventory holding time, DSO measures collection time, and DPO reflects how long the company takes to pay suppliers.
When do you use the equity method vs. the acquisition method for intercorporate investments?
The classification depends on the degree of influence or control the investor has over the investee. Below 20% ownership is treated as a financial asset at fair value, 20-50% uses the equity method (significant influence), and above 50% requires full consolidation via the acquisition method.
Do TIPS have reinvestment risk, and if so, how does it differ from nominal bonds?
TIPS have reinvestment risk in the REAL yield component. Coupons paid on indexed principal must be reinvested at prevailing real yields. TIPS eliminate inflation risk on principal and coupons but NOT real rate risk on reinvested cash flows or price risk before maturity...
How do I decide between municipal bonds and taxable bonds for a client?
The choice between municipal bonds (tax-exempt at federal level, often state-exempt if issued in the investor's state) and taxable bonds hinges on the taxable-equivalent yield calculation...
When do passive bond managers use sampling versus full replication?
Bond funds sample because indices have thousands of illiquid constituents. Representative or stratified sampling matches risk factor exposures (duration, sector, credit) with 200-500 bonds, tracking error 10-25 bps.
What is stacking and how does it differ from other ensemble methods?
Stacking combines heterogeneous base learners using a meta-learner that learns optimal weights from out-of-fold predictions, often outperforming any single model...
How are carve-outs treated in GIPS composites?
GIPS 2020 requires a standalone portfolio in the same strategy to use carve-outs in a composite. Cash must be allocated consistently. Must disclose % of composite from carve-outs and allocation method...
How should PMs manage duration timing positions through the cycle?
Duration timing requires multi-factor signals, conviction-tiered sizing (Tier 1: +1.5-2yr, Tier 3: neutral), staggered entry, exit discipline, and hedging overlays. Document post-mortems to learn from being-early errors. Target 60% batting average with 1.5+ slugging.
Why is vintage year diversification important in private equity?
Vintage year diversification spreads commitments across fund formation years to mitigate macro cycle risk. LPs typically commit to 3-5 funds across 5-10 consecutive vintages.
What is commitment pacing in private equity investing?
Commitment pacing schedules PE commitments over vintages to reach and maintain target allocation given J-curve, call patterns, and distributions. Typically requires over-commitment.
What are specialty finance strategies and how do they fit in an alternatives portfolio?
Specialty finance covers non-corporate credit strategies that finance specific asset classes or cash-flow streams...
Why do financial regulators require explainability in AI models, and what are the main techniques for making black-box models interpretable?
Financial regulators require AI explainability because consumers deserve to understand decisions affecting them. SHAP values, LIME, and partial dependence plots provide post-hoc explanations for complex models without sacrificing accuracy. Adverse action notices must cite specific factors.
What is a unitranche loan, and why has it become the dominant structure in middle-market private credit?
A unitranche loan combines senior and subordinated debt into one facility with a blended rate. It dominates middle-market lending because it simplifies execution, reduces closing timelines, and eliminates intercreditor complexity — despite costing slightly more than a traditional split.
How does ensemble stacking combine multiple models, and why does it outperform individual learners in financial prediction?
Stacking trains a meta-learner to optimally combine diverse base model predictions. Unlike simple averaging, it discovers conditional strengths — weighting models differently based on market conditions — and uses out-of-fold predictions to prevent overfitting.
What are the key differences between paper trading and live trading, and why do strategies that work on paper often fail with real capital?
Paper trading fails to capture market impact, partial fills, slippage, short borrow costs, and — most critically — the behavioral pressures of real capital including loss aversion, overconfidence, and regret avoidance. Strategies that work on paper typically lose 30-50% of their edge in live trading due to these execution and psychological gaps.
What is the proper methodology for backtesting an equity strategy, and how can an analyst distinguish genuine alpha from data-mined results?
Robust backtesting requires a pre-stated hypothesis, point-in-time survivorship-free data, realistic transaction cost assumptions, and out-of-sample validation. Genuine alpha is distinguished from data mining through high t-statistics (>3.0 per Harvey et al.), out-of-sample Sharpe ratios exceeding 50% of in-sample, multiple-testing adjustments, and a clear economic rationale.
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