China Futures Basics - independent subject foundations cheat sheet
China Futures Basics - independent subject foundations · Keep the key ideas within reach.
Futures, options, swaps and conditional hedging models
State direction, size, timeline and contract assumptions.
Payoff differs from profit after premiums and costs.
Hedging can introduce basis, liquidity and counterparty risk.
Margin is collateral and does not generally cap losses.
Investment instruments, portfolios and measured performance
Separate instrument claims, timing, fees and risk.
Expected return is not a guaranteed outcome.
Covariance matters for portfolio volatility and diversification has limits.
Use coherent cash-flow, benchmark and valuation assumptions.
Financial appraisal, financing and conditional valuation models
Define incremental cash flows and the valuation date.
Discount rate, cash-flow timing and risk assumptions must be consistent.
NPV, IRR, payback and accounting return measure different things.
Expected value does not eliminate downside or estimation uncertainty.
Supplied model rates are not current market or tax facts.
Market, credit, liquidity and model-risk reasoning
Expected loss is an average under a stated model, not a maximum.
VaR does not bound losses or fully describe the tail.
Funding and market liquidity can deteriorate together.
Validate models and monitor assumptions, data and intended use.
National accounts, money and fiscal reasoning
Distinguish a budget flow, a debt stock and the financing transactions.
A bank loan can create a corresponding deposit; a 1/r multiplier is a deliberately simplified model.
Policy rates influence, but do not equal, every retail borrowing rate.
Real and nominal measures need the relevant price index and base normalization.
Spending and tax multipliers require their model and sign conventions.
Economic data, indices and statistical reasoning
An index-point change is not automatically an equal percentage change.
State the initial-base, midpoint or point elasticity convention.
A sample standard error differs from individual-observation dispersion.
Correlation and fitted prediction do not by themselves establish causation.
Use exact growth-factor ratios when precision matters.