Analyses of foundational economic texts, summarizing core ideas and their investor relevance. Last reviewed: June 2026
Praxeology: the formal, deductive study of human action. Mises argues that economics is not about math, but about purposeful human choice under conditions of scarcity. Humans act to replace a less satisfactory state with a more satisfactory one.
It refutes mainstream mechanical models that treat economic cycles as equations in search of equilibrium. Understanding economics as human action reminds us that markets are dynamic and subjective, driven by human plans.
Portfolios are formed by human subjective valuations, not static formulas. Volatility represents real plan coordination changes. Mises’s framework casts doubt on risk models that treat human action as a predictable physical constant.
The capital structure of production is heterogeneous and extended in time. When the central bank expands credit and artificially lowers interest rates, it fools capital builders into financing long-duration processes without a corresponding pool of real savings.
It explains why credit booms must inevitably end in capital liquidations (busts). The boom represents structural malinvestment: resources are pulled into early-stage capital production that cannot be finished.
Austrian theory treats policy credit indicators as relevant to understanding credit-cycle conditions. Austrian theory holds that high-duration capital projects financed during credit expansion may rest on distorted signals.
Economic coordination relies on dispersing, subjective, and tacit knowledge held by individual actors. Prices act as an information communication network, translating complex changes in relative scarcity instantly into localized actions.
Central planning bodies cannot coordinate resource allocation efficiently because they cannot centralize the necessary knowledge. Price signals are the only mechanism that can coordinate decentralized human plans.
The framework suggests that portfolio strategies built primarily on administrative forecasts face a structural information problem, especially where price discovery is distorted.
Capital is heterogeneous and structurally aligned. Individual capital assets do not simply add up; they must fit together like puzzle pieces into plans. When macro policies change, these plans fail, and capital must be restructured.
It emphasizes that capital is a dynamic structure, not a homogeneous aggregate. If macro adjustments create clashes, physical equipment and resource investments must be restructured, which involves loss.
Lachmann’s framework suggests that the structural fit and coherence of capital assets may be more informative than book-value totals alone.