This paper focuses on changes in the currency options market’s assessment of likely future exchange rate developments around the times of official interventions in the JPY/USD exchange rate. We estimate the options-implied risk-neutral density functions (RNDs) using daily OTC quotes for...

This paper uses data on currency options prices for the exchange rates of the three largest new EU member states Poland, Czech Republic and Hungary vis-à-vis the euro and the US dollar to estimate the risk-neutral density (RND) functions and the density interval bands. Analysing the RNDs, we...

We compare option-implied correlation forecasts from a dataset consisting of over 10 years of daily data on over-the-counter (OTC) currency option prices to a set of return-based correlation measures and assess the relative quality of the correlation forecasts. We find that while the predictive...

In an analytically tractable model of the global economy, we calculate the Pareto improvement where a country experiencing a favourable supply side shock consumes more against expected future output and spreads the risk by selling shares. With capital inflows to finance the ‘New Economy’...

We combine the dynamic dividend-discount model with an accounting-based vector autoregression framework that allows for a decomposition of EU banks' stock returns to cash-flow and expected return news components. The main findings are that while the bulk of the variability of EU banks' stock...

We apply the Campbell-Shiller return decomposition to exchange rate returns and fundamentals in a stationary panel vector autoregression framework. The return decomposition is then used to analyse how different investor segments react to news as captured by the different return components. The...

Modelling the link between the global macro-financial factors and firms’ default probabilities constitutes an elementary part of financial sector stress-testing frameworks. Using the Global Vector Autoregressive(GVAR) model and constructing a linking satellite equation for the firm-level...

In terms of regulatory and economic capital, credit risk is the most significant risk faced by banks. We implement a credit risk model - based on publicly available information - with the aim of developing a tool to monitor credit risk in a sample of large and complex banking groups (LCBGs) in...

The financial crisis has highlighted the need for models that can identify counterparty risk exposures and shock transmission processes at the systemic level. We use the euro area financial accounts (flow of funds) data to construct a sector-level network of bilateral balance sheet exposures and...

We use financial accounts data at sector level to construct financial networks for individual euro area countries. We then connect the country-level networks to one large “Macro Network”, using information on cross-border linkages between the national banking sectors. We then evaluate the...