Terms & Concepts

A collection of useful terms, concepts, and phrases from finance, economics, and social investment.

Finance & Economics

Minsky Moment: A sudden collapse of asset values that reverses the perceived safety of borrowing, triggering a rapid transition from a stable period of growth to financial crisis. Named after economist Hyman Minsky. Often occurs when speculative borrowing becomes unsustainable.
Moral Hazard: A situation where one party takes on risk because they don't bear the full consequences of that risk. Example: banks taking excessive risk knowing they'll be bailed out by government.
Adverse Selection: A market condition where sellers have more information about quality than buyers, leading to a disproportionate number of lower-quality goods being traded. Results in market breakdown or only high-price transactions surviving.
Regulatory Arbitrage: The practice of exploiting differences in regulations across jurisdictions to reduce costs or increase profits. Example: locating operations in areas with lighter regulation.
Rent-Seeking: The pursuit of economic gain through manipulation of the social or political environment rather than through productive economic activity. Example: lobbying for monopolistic privileges rather than innovating products.
Principal-Agent Problem: A conflict of interest arising when an agent (e.g., CEO) acts on behalf of a principal (e.g., shareholders), but the agent has incentives that diverge from the principal's interests.
Carry Trade: Borrowing in a low-interest currency and investing in a higher-yielding asset, pocketing the interest rate differential. Creates leverage risk if the investment falls in value.
Convexity: A measure of the curvature in the relationship between bond prices and yields. Positive convexity means the price gains from falling yields exceed the price losses from rising yields.
Tail Risk: The probability of extreme events that fall at the tails of a probability distribution. Often underpriced by markets until it realizes.
Mark-to-Market: Valuing an asset based on its current market price rather than historical cost or intrinsic value. Can amplify volatility in crises when market prices collapse.
Negative Carry: A situation where the cost of holding an asset exceeds the income generated from it. Often done strategically to maintain a position during favorable future conditions.
Basis Risk: The risk that the financial instrument used to hedge an asset doesn't move in perfect correlation with the asset, leaving residual exposure.
Disintermediation: The process of removing intermediaries from a transaction, allowing parties to transact directly. Can disrupt traditional financial institutions.
Stealth Wealth / Conspicuous Frugality: Behavior of wealthy individuals who avoid displaying their wealth through consumer goods. Often associated with more sophisticated investors.

Social Investment & Impact

Social Impact Bond (SIB): A financial instrument where private capital funds interventions addressing social problems, and government repays the investment plus a return if outcomes improve beyond a threshold.
Outcomes-Based Contracting: A procurement model where payment is tied to achieving specific, measurable social outcomes rather than delivering a service or input.
Additionality: In social impact, the concept that an intervention produces outcomes that wouldn't have occurred without that specific investment. Central to measuring social impact.
Deadweight Loss: Economic inefficiency that occurs when equilibrium is not achieved. In social programs, refers to outcomes that would have happened anyway without intervention.
Crowding Out: When government or philanthropic spending on a social problem reduces private or individual response. Example: welfare reducing private charity.
Counterfactual: In impact measurement, what would have happened in the absence of an intervention. Estimating the counterfactual is key to measuring true impact.
Theory of Change: A conceptual map linking inputs, activities, outputs, outcomes, and impact in a logical sequence. Shows how and why change is expected to occur.
Blended Finance: The strategic use of public, private, and philanthropic capital to address social or environmental challenges. Lower-risk capital "absorbs" some risk to attract market-rate capital.
ESG (Environmental, Social, Governance): Non-financial factors considered when evaluating corporate performance and societal impact. Increasingly integrated into investment decisions.
Social Return on Investment (SROI): A framework for quantifying the social value created by an intervention relative to investment. Converts social outcomes into monetary equivalents.
Equity vs. Equality: Equity: distributing resources based on need to achieve equal outcomes. Equality: treating everyone the same regardless of circumstance. Key distinction in social policy.

Systems & Complexity

Tragedy of the Commons: A situation where individual incentives lead to overexploitation of shared resources, resulting in collective harm. Example: overfishing in international waters.
Perverse Incentive: A policy or reward structure that unintentionally encourages outcomes contrary to the intended goal. Example: paying per paperclip produced incentivizing tiny, useless paperclips.
Emergence: Complex patterns and properties arising from relatively simple rules in a system. Individual behaviors combine to create unexpected system-level phenomena.
Path Dependence: The idea that history matters; where you end up depends on the path taken to get there, not just current conditions. Lock-in effects make change difficult.
Feedback Loop: A process where the output of a system influences its own input, either amplifying (positive feedback) or dampening (negative feedback) change.
Hysteresis: When a system's output depends on its history and not just current conditions. In economics, referring to unemployment staying elevated even after demand recovers.
Optimization vs. Satisficing: Optimization: seeking the absolute best solution. Satisficing: seeking a solution that's "good enough." Organizations often satisfice due to cognitive and information constraints.
Malthusian Trap: The hypothesis that population growth tends to exceed the growth in food supply, trapping societies in subsistence-level poverty. Proposed by Thomas Malthus in 1798. Historically falsified by technological progress and productivity improvements.
Bayesian Reasoning: A probabilistic framework for updating beliefs based on new evidence. Bayes' theorem: P(A|B) = P(B|A) × P(A) / P(B). Central to rational decision-making and scientific inference.
Cognitive Bias: Systematic patterns in how humans deviate from rational decision-making. Examples: confirmation bias (seeking confirming evidence), anchoring (over-weighting initial information), availability heuristic (overweighting readily available examples).
Base Rate Fallacy: The tendency to ignore the underlying probability of an outcome when making decisions. Example: A test is 99% accurate; if a person tests positive, the odds they actually have the disease depend heavily on disease prevalence, not the test accuracy alone.
Expected Value: The probability-weighted average outcome of a decision or gamble. EV = (Probability of outcome A × Value of A) + (Probability of outcome B × Value of B) + ... Rational actors should maximize expected value.
Epistemic Humility: Recognition of the limits of one's knowledge and the possibility of being wrong. The opposite of overconfidence; important for rational agents to acknowledge uncertainty.
Information Asymmetry: A situation where one party has more or better information than the other in a transaction. Can lead to adverse selection, moral hazard, and market failures.
Effective Altruism: A philosophical approach to doing good that uses reason and evidence to determine how to best help others. Emphasizes quantifying impact, considering long-term consequences, and prioritizing neglected problems.
Utility: A measure of satisfaction or well-being derived from consuming a good or service. Rational actors are assumed to maximize their utility, though preferences may be non-linear and subjective.
Ergodicity: In probability, a property where the time average of a process equals the ensemble average. In economics, relevant to whether past returns predict future returns and whether betting systems can be profitable over time.
Ludic Fallacy: The mistake of using games and probabilistic models to understand complex real-world situations that don't follow similar rules. Real-world "games" have unknown rules, payoffs, and players.

Philosophy & Epistemology

Occam's Razor: Simpler explanations are generally preferable; don't multiply entities beyond necessity. A principle of parsimony: when two theories explain the same phenomenon equally well, choose the simpler one.
Gödel's Incompleteness Theorems: Any consistent formal system powerful enough to describe arithmetic cannot prove all true statements within that system. Implies fundamental limits to formal logic and mathematical proof; has profound implications for artificial intelligence and decidability.
Popper's Falsifiability: A theory is scientific if it's testable and disprovable. Science advances by falsifying hypotheses, not by proving them true. A theory that can't be falsified (in principle) is unfalsifiable and thus unscientific.
The Lindy Effect: The longer something has existed, the longer it's expected to survive. Non-perishable ideas, institutions, and technologies that have lasted centuries are likely to persist. Implies old things should be respected as they've survived selection pressure.
Antifragility vs. Robustness: Robustness resists shocks and stays the same. Antifragility benefits from volatility and disorder, improving through stress. Beyond merely avoiding harm, antifragile systems gain from challenges and uncertainty.
Type I vs. Type II Error: Type I: falsely rejecting a true hypothesis (false positive). Type II: falsely accepting a false hypothesis (false negative). The tradeoff between these errors shapes decision-making in medicine, law, and science.
Reflexivity: The idea that market prices influence the fundamentals they're supposed to reflect. Observer and observed interact; feedback loops between expectations and reality create historical paths. Markets are reflexive, not perfectly rational.
Veil of Ignorance: John Rawls' thought experiment: design a just society as if you don't know your position within it. Forces consideration of fairness from behind a "veil" of uncertainty about your own status and advantages.
Skin in the Game: Having personal financial or reputational stake in an outcome. Creates alignment of incentives between decision-maker and stakeholder. Lack of skin in the game is a major source of misaligned incentives and poor decisions.
Spontaneous Order: Complex social, economic, and political systems emerging from bottom-up individual decisions without central coordination. Markets, language, and traditions are examples of spontaneous order arising from decentralized action.
Goodhart's Law: "When a measure becomes a target, it ceases to be a good measure." Gaming metrics distorts underlying incentives. Optimizing for a proxy of what you care about often backfires when people adjust behavior in response.
Campbell's Law: The more a metric is used for decision-making, the more likely it will be corrupted. As institutions rely on metrics for accountability, the metrics themselves become targets, losing their validity.
Reversion to the Mean: Extreme outcomes tend toward the average over time. Unusually good or bad performance is often followed by more mediocre performance. An important corrective to overinterpreting short-term results.