WMCP study materials
WMCP study resources

WMCP cheat sheet

WMCP · Keep the key ideas within reach.

Quick reference

Introduction to Goal-Based Planning (WMCP 360)

  • Goal-based planning converts household objectives into time-dated cash-flow targets, then solves for required saving, asset allocation, and monitoring thresholds.

  • Funding ratio = present value of assets dedicated to a goal ÷ present value of the goal liability; a ratio below 1.0 indicates a funding gap.

  • For level end-of-year deposits, PMT = (FV × r) ÷ ((1 + r)^n − 1) when r > 0; when r = 0, PMT = FV ÷ n.

  • Present value of a future goal = FV ÷ (1 + r)^n; use a real return when the goal and cash flows are stated in today's dollars.

  • Risk tolerance is willingness to bear risk; risk capacity is ability to bear risk from cash flow, horizon, liquidity, and human capital; allocation is constrained by the lower of the two.

  • Human capital = present value of expected future labor income; younger households usually have more human capital and can support greater growth-asset exposure, all else equal.

  • Prioritize goals by essentiality and time horizon; fund essential near-term goals with lower-volatility assets before discretionary long-term goals.

  • Monte Carlo analysis simulates many return paths to estimate the probability that goals are funded; results depend on assumptions and are not guarantees.

  • Review triggers include changes in income, health, family status, tax law, spending, or a funded ratio outside its tolerance band.

Quick reference

Efficient Investment Portfolios (WMCP 361)

  • Expected portfolio return = weighted average of asset expected returns: E(Rp) = Σ wi E(Ri), where the weights sum to one.

  • Two-asset portfolio variance = w1²σ1² + w2²σ2² + 2w1w2ρ12σ1σ2; lower correlation reduces variance for given weights and volatilities.

  • The efficient frontier is the set of portfolios with the highest expected return for each risk level; mean-variance investors choose a frontier portfolio matching their utility.

  • Sharpe ratio = (Rp − Rf) ÷ σp; it measures excess return per unit of total portfolio risk.

  • Treynor ratio = (Rp − Rf) ÷ βp; it measures excess return per unit of systematic risk and is useful for well-diversified portfolios.

  • Jensen's alpha = Rp − [Rf + βp(Rm − Rf)]; positive alpha indicates return above the CAPM-required return for the portfolio's beta.

  • CAPM: E(Ri) = Rf + βi[E(Rm) − Rf]; beta measures sensitivity to market risk, and only systematic risk is compensated in equilibrium.

  • Diversification reduces unsystematic risk through imperfectly correlated assets; systematic market risk remains and is compensated in equilibrium.

  • A rebalancing policy sets calendar or threshold rules to restore target weights; it controls risk drift rather than forecasting returns.

Quick reference

Strategic Wealth Management (WMCP 362)

  • An investment policy statement records goals, constraints, risk tolerance, target allocation, allowable ranges, rebalancing rules, and review procedures.

  • IPS constraints include liquidity needs, time horizon, tax circumstances, legal and regulatory requirements, and unique investor circumstances.

  • Withdrawal sustainability depends on withdrawal rate, return, inflation, volatility, horizon, and sequence of returns.

  • Sequence-of-returns risk is the danger that poor early retirement returns reduce portfolio longevity even when long-run average returns match the plan.

  • Tax diversification across taxable, tax-deferred, and tax-free accounts increases flexibility for withdrawals, Roth conversions, and tax-bracket management.

  • Estate planning coordinates wills, trusts, beneficiary designations, powers of attorney, and health care directives.

  • Insurance transfers low-probability, large-loss risks to an insurer; deductibles and coverage limits balance premiums paid against risk retained.

  • Family governance clarifies decision rights, communication, philanthropy, and succession, supporting wealth transfer across generations.

  • Behavioral biases such as loss aversion, recency, overconfidence, and anchoring can distort rebalancing, spending, and risk decisions.