We derive a model in which a standard international capital asset pricing (ICAPM) model is nested within an ICAPM model with market imperfections. In the latter model an idiosyncratic stochastic factor affects the return of risky assets (over a risk-free rate) on top of the systematic component...

We value rating-triggered step-up bonds with three methods: (i) the Jarrow, Lando andTurnbull (1997, JLT) framework, (ii) a similar framework using historical probabilities and(iii) as plain vanilla bonds. We find that the market seems to value single step-up bondsaccording to the JLT model,...

The fixing of the Libor and Euribor benchmark rates has proven vulnerable to manipulation. Individual rate-setters may have incentives to fraudulently distort their submissions. For the contributing banks to collectively agree on the direction in which to rig the rate, however, their interests...

This paper examines whether the ECB's Quantitative Easing (QE) policy is causing government bond prices to deviate from their fundamental value. We use a recent advance in the methodology to measure exuberant price behavior in financial time series introduced by Phillips et al. (2015). We extend...

This paper uses granular bond portfolio data to study how banking systems across the European Union (EU) adjust their asset holdings in response to regulatory solvency shocks. We also study the impact of these shocks at financial intermediaries on the prices of bonds in their portfolio. Despite...

We use recent European restrictions to evaluate how traders substitute across available dark pools. Our findings suggest that restricting dark trading at the most prominent platform has a detrimental effect on dark trading activity. Annual dark trading in a restricted stock decreases by more...

We assess whether climate transition risk is priced in Europe's equity market by analysing relative equity returns of high versus low CO2-emitting firms. We use a panel data set covering firm-specific carbon emissions of 1,555 European companies over the period 2005-2019. We add to the existing...

We develop a multivariate unobserved components model to extract business cycle and financial cycle indicators from a panel of economic and financial time series of four large developed economies. Our model is flexible and allows for the inclusion of cycle components in different selections of...

We introduce a new model for time-varying spatial dependence. The model extends the well-known static spatial lag model. All parameters can be estimated conveniently by maximum likelihood. We establish the theoretical properties of the model and show that the maximum likelihood estimator for the...