Previous studies report a robust positive relationship between cash endowments and asset prices in experimental asset markets. Higher cash endowments generally increase the proportion of riskless versus risky wealth at the individual and aggregate level as well as the capacity of market participants to seize investment opportunities, i.e., their transactional liquidity. In this study, we vary the size and composition of riskless endowments in order to analyze the impact of different types of “cash” on trading behavior in experimental asset markets with randomly fluctuating fundamental values. In all treatments except the baseline, we allow subjects to control the liquidity of their cash endowment endogenously by providing some proportion of their riskless endowment in a physical store of value, which can be converted into experimental currency for trading. We observe that most subjects retain a large proportion of their wealth in the physical store of value. Inconsistent with rational choice theory, average trading prices and trading volumes are lower when “cash” is provided in a convertible store of value rather than experimental currency. Surprisingly, the price effect manifests asymmetrically on the buy side but not the sell side. Moreover, we control for potential changes in risk appetite resulting from higher riskless endowments. Our results suggest that transactional liquidity not a risky demand shift drives the relationship between cash endowments and asset prices.

Urban economies are composed of diverse activities, embodied in labor occupations, which depend on one another to produce goods and services. Yet little is known about how the nature and intensity of these interdependences change as cities increase in population size and economic complexity. Understanding the relationship between occupational interdependencies and the number of occupations defining an urban economy is relevant because interdependence within a networked system has implications for system resilience and for how easily can the structure of the network be modified. Here, we represent the interdependencies among occupations in a city as a non-spatial information network, where the strengths of interdependence between pairs of occupations determine the strengths of the links in the network. Using those quantified link strengths we calculate a single metric of interdependence–or connectedness–which is equivalent to the density of a city’s weighted occupational network. We then examine urban systems in six industrialized countries, analyzing how the density of urban occupational networks changes with network size, measured as the number of unique occupations present in an urban workforce. We find that in all six countries, density, or economic interdependence, increases superlinearly with the number of distinct occupations. Because connections among occupations represent flows of information, we provide evidence that connectivity scales superlinearly with network size in information networks.