We propose a tractable, model-based stress-testing framework where the solvency risks, funding liquidity risks and market risks of banks are intertwined. We highlight how coordination failure between a bank's creditors and adverse selection in the secondary market for the bank's assets interact,...

Central banks play a crucial role in promoting financial stability. They act as financial system stabilizers through their capacity to create liquidity and channel it to financial institutions and markets in times of stress - a role that has evolved and expanded substantially over the past 15...

Credit institutions are to an increasing extent using Contingent Convertible Bonds (CoCos) to meet part of their capital requirements, which could suggest that the market for CoCos contains useful information on the robustness of the issuer. This paper gives a thorough introduction to CoCos -...

We add discrete jumps in the time-to-maturity of a firm's debt to the model of Engle and Siriwardane (2015), such that changes in equity volatility can be explained by the volatility of the firm's assets, its market leverage and investors' perception of the time-to-maturity of the firm's debt....

This paper identifies bank-specific-characteristics and market conditions that contribute to determine prices and demand for liquidity in the interbank market as wells as banks' access to this market. Results indicate that riskier banks pay higher prices and borrow less liquidity, concurrent...

This paper examines the impact of exogenous liquidity shocks in the unsecured interbank market. We evaluate the effects of idiosyncratic liquidity shocks - arising from deposits outflow at the bank level - and of the aggregate liquidity shock related to the U.S. tapering observed between May and...

We propose a novel framework to analyze how policy-makers can manage risks to the median projection and risks specific to the tail of gross domestic product (GDP) growth. By combining a quantile regression of GDP growth with a vector autoregression, we show that monetary and macroprudential...

Stock market fundamentals would not seem to meaningfully predict returns over a shorter-term horizon - instead, I shift focus to severe downside risk (i.e., crashes). I use the cointegrating relationship between the log S&P Composite Index and log earnings over 1871 to 2015, combined with...

Heavy tails and volatility clusters are both stylized facts of financial returns that destabilize markets. The former are extreme events by definition and the latter can accelerate adverse market developments. This work disentangles the two sources and examines which one does the greater damage...

The paper puts the outcome during the most recent financial crisis in a historical perspective by taking a closer look at the frequency of extreme events in the economic history of Denmark, in some cases based on time series back to the late 1600s. We focus on the frequency distribution of a...