This paper develops a means of visualising the vulnerability of complex systems of financial interactions resulting from the changing risk tolerance of investors. The investors' risk behavior contributes to the buildup of vulnerability in crisis and in calm periods. We show how both time-varying...

Differentiating between `good' and `bad' spillovers we disentangle sources of potential crisis from the intricately complex web of connections across international equity markets. In particular, we analyze the behaviour of 30 global equity markets and compute multiple spillover measures, which...

We investigate the impact of exogenous shocks on network and stability parameters in proof-of-work-based permissionless blockchains with concentrated mining ecosystems, such as the Bitcoin network. Intuitively, declining hashing power due to a shock should weaken the network by lowering the...

Aim/purpose - This article aims to explore the network topology of the stock market in Poland during the COVID-19 pandemic. Design/methodology/approach - Kruskal's algorithm was used to find the minimum spanning trees (MST) of three undirected correlation networks: MST1 (December 2019 - August...

Evidence shows that social network structures drive important economic outcomes. Building on social network theory, this study is the first to analyse the impact of team networks on venture success. Using information about team affiliations for a sample of token-financed startups, we model...

This study aims to assess interconnectedness and risk in the market for syndicated loans to Japan's real estate investment trusts (J-REITs) from fiscal year (FY) 2013 to FY 2020 and the first half of FY 2021. Network analysis indicates that Japanese major banks, large regional banks, and J-REITs...

We model how excess demand or excess supply can be generated in the presence of a social network of interactions, where agents are subject to external information and individual incentives. In this context we study price fluctuations in financial markets under equilibrium. In particular, we...

From a statistical point of view, the prevalence of non-Gaussian distributions in nancial returns and their volatilities shows that the Central Limit Theorem (CLT) often does not apply in nancial markets. In this paper we take the position that the independence assumption of the CLT is violated...

This paper provides an in depth microstructure analysis of the euro money market by taking a network perspective. Banks are the nodes of the networks; unsecured overnight loans form the links connecting the nodes. Daily interbank networks verify the same stylised facts documented for many real...

We study the frictions in the patterns of trades in the Euro money market. We characterize the structure of lending relations during the period of recent financial turmoil. We use network-topology method on data from overnight transactions in the Electronic Market for Interbank Deposits (e-Mid)...