Required Returns and Wealth Benchmarks
A framework for setting return objectives using wealth-pool growth, after-tax compounding, and annual withdrawals.
PUBLIC RESEARCH LIBRARY
All public research records are organised here by time, topic, and language. Each note keeps the question, evidence, reasoning, counter-arguments, and review markers; family allocation records and account-level execution remain private.
FOUNDATION NOTE
Before reading the individual notes, this page sets out how we do research, how we define risk, and how we try to avoid false precision. It is not a clever formula; it is a discipline for making decisions reviewable, executable, and correctable.
The newest notes appear first. Dates refer to the data or model date used in the public draft.
A framework for setting return objectives using wealth-pool growth, after-tax compounding, and annual withdrawals.
A way to separate the AI technology story from the harder question of who earns durable cash flow and asset returns.
A framework for understanding NVIDIA's platform advantage, customer economics, and the conditions that could weaken the long-term case.
A disciplined model for keeping global market exposure at the core while expressing a small number of long-term active views.
Topics are not product categories. They are the questions that organise the research.
Research on the return objective long-term family capital needs after taxes, fees, withdrawals, and real-world compounding.
Deep dives on company structure, business quality, counter-arguments, and the conditions that would break the case.
Long-horizon research on AI, demographics, energy, and global order: slow changes that may still be large enough to matter.
Research that connects single ideas back to diversification, risk exposure, thematic tilts, and long-term execution.
English pages are public reading versions; Chinese pages remain the primary research record.