activity
20102018
most citedToo dynamic to fail. Empirical support for an autocatalytic model of Minsky's financial instability hypothesis

7 citations · 10 across the 5 of their papers we have counts for

collaborators

7 papers

physics.soc-ph2018★ 1 cited

Missing Data as Part of the Social Behavior in Real-World Financial Complex Systems

Guy Kelman, Eran Manes, Marco Lamieri +1

Many real-world networks are known to exhibit facts that counter our knowledge prescribed by the theories on network creation and communication patterns. A common prerequisite in n…

q-fin.GN2015★ 7 cited

Too dynamic to fail. Empirical support for an autocatalytic model of Minsky's financial instability hypothesis

Natasa Golo, David S. Bree, Guy Kelman +3

Solomon and Golo [1] have recently proposed an autocatalytic (self-reinforcing) feedback model which couples a macroscopic system parameter (the interest rate), a microscopic param…

q-fin.GN2015

Many-to-one contagion of economic growth rate across trade credit network of firms

Natasa Golo, Guy Kelman, David S. Bree +3

We propose a novel approach and an empirical procedure to test direct contagion of growth rate in a trade credit network of firms. Our hypotheses are that the use of trade credit c…

physics.soc-ph2014★ 2 cited

Dissortative From the Outside, Assortative From the Inside: Social Structure and Behavior in the Industrial Trade Network

Guy Kelman, David S. Brée, Eran Manes +3

It is generally accepted that neighboring nodes in financial networks are negatively assorted with respect to the correlation between their degrees. This feature would play an impo…

q-fin.GN2011

Pricing stocks with yardsticks and sentiments

Sebastıan Martınez Bustos, Jorgen Vitting Andersen, Michel Miniconi +3

Human decision making by professionals trading daily in the stock market can be a daunting task. It includes decisions on whether to keep on investing or to exit a market subject t…

q-fin.ST2010

Prediction accuracy and sloppiness of log-periodic functions

David Brée, Damien Challet, Pier Paolo Peirano

We show that log-periodic power-law (LPPL) functions are intrinsically very hard to fit to time series. This comes from their sloppiness, the squared residuals depending very much…

q-fin.ST2010

Testing for financial crashes using the Log Periodic Power Law mode

David S. Bree, Nathan Lael Joseph

A number of papers claim that a Log Periodic Power Law (LPPL) fitted to financial market bubbles that precede large market falls or 'crashes', contain parameters that are confined…