This paper uses a unique data set to shed new light on the credit availability and credit performance of consumer bankruptcy filers. In particular, our data allow us to distinguish between Chapter 7 and Chapter 13 bankruptcy filings, to observe changes in credit demand and supply explicitly, to...

This paper aims to extend the existing literature on foreign exchange rate risk pricing. Unlike the existing studies on Canada, we use six alternative bilateral and one multilateral exchange rate proxies. Furthermore, using both a two-factor and a three-factor capital asset pricing model (CAPM),...

Paper presents a mechanism for measuring stability of banking system based on the default risk of nonbanking debtors and contagion potential of banks. The approach is tested on 1,000 randomized network topologies of 40 real banks. Banking system is treated as a complex system and stability is...

Using a balanced panel data of 82 Italian listed companies, for 984 firm-year observations, the relationship between corporate governance, risk-taking, and risk-adjusted performance is investigated. The beta and the standard deviation, as proxies for risk-taking, and two different measures of...

By analyzing 20 developed countries over 1920–2012, we find the following evidence of overoptimism and neglect of crash risk by bank equity investors during credit expansions: 1) bank credit expansion predicts increased bank equity crash risk, but despite the elevated crash risk, also predicts...

During the ongoing COVID-19 pandemic in the US, there has been considerable media attention regarding several US legislators who traded stocks in late January through February 2020. The concern is that these legislators traded in anticipation of COVID-19 having a major impact on the financial...

We investigate the technical problem of community and clique detection in investor network. We introduce a pruning technique for investor clique enumeration based on specific economic and financial contexts. It can be incorporated into the central clique solver to reduce the computing time and...

This paper analyses herding in cryptocurrency markets in the time of the COVID-19 pandemic. We employ a combination of quantitative methods to hourly prices of the four most traded cryptocurrency markets - USD, EUR, JPY and KRW - for the period from 1st January 2019 to 13th March 2020. While...

We estimate investor stock trading networks based on Granger Causality under vector autoregressive model. The obtained network is directed, and this can capture the flow of information and trading patterns across the portfolio. For most securities, the investor stock trading network forms a...

We investigate investor behaviors before and during the global financial crisis of 2007-2008 using complex network theory. We find that investor networks have different structures between pre-crisis and crisis periods with statistical significance. Moreover, we observe the herding tendency and...