We study insolvency cascades in an interbank system when banks are allowed to insure their loans with credit default swaps (CDS) sold by other banks. We show that, by properly shifting financial exposures from one institution to another, a CDS market can be designed to rewire the network of...

Banks in the interbank network can not assess the true risks associated with lending to other banks in the network, unless they have full information on the riskiness of all the other banks. These risks can be estimated by using network metrics (for example DebtRank) of the interbank liability...

Financial markets are exposed to systemic risk (SR), the risk that a major fraction of the system ceases to function and collapses. Since recently it is possible to quantify SR in terms of underlying financial networks where nodes represent financial institutions, and links capture the size and...

We study the cost of coal-fired electricity in the United States between 1882 and 2006 by decomposing it in terms of the price of coal, transportation cost, energy density, thermal efficiency, plant construction cost, interest rate, capacity factor, and operations and maintenance cost. The...

For the London Stock Exchange we demonstrate that the signs of orders obey a long-memory process. The autocorrelation function decays roughly as a power law with an exponent of 0.6, corresponding to a Hurst exponent H = 0.7. This implies that the signs of future orders are quite predictable from...

We study a simplification of a previously proposed model of technology evolution to understand the behavior of performance curves, which describe how a technology improves with increasing cumulative production. The model decomposes a technology or production process into components that get...

A key challenge in modeling technological innovation is to predict future costs based on historical data. This is of great interest to academics, as well as decision makers both in the private and public sectors. For example, many corporate strategies, industry roadmaps, and government policies...

Desarrollamos un modelo basado en agentes para estudiar el impacto de experimentos de política macroprudencial sobre los principales indicadores del mercado inmobiliario del Reino Unido. La naturaleza heterogénea de este modelo nos permite evaluar el efecto de tales experimentos sobre los...

We develop an agent-based simulation of the catastrophe insurance and reinsurance industry and use it to study the problem of risk model homogeneity. The model simulates the balance sheets of insurance firms, who collect premiums from clients in return for insuring them against intermittent,...