This paper assesses the relationship between the macroeconomic system and the banking sector by estimating two separate non-linear Vector Autoregressive models (VAR) for the US and Switzerland. The model specification includes the output gap, the interest rate, the in ation rate and a banking...

This paper assesses the relationship between the macroeconomic system and the banking sector by estimating two separate non-linear Vector Autoregressive models (VAR) for the US and Switzerland. The model specification includes the output gap, the interest rate, the in ation rate and a banking...

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 assesses the relationship between the macroeconomic system and the banking sector by estimating two separate non-linear Vector Autoregressive models (VAR) for the US and Switzerland. The model specification includes the output gap, the interest rate, the in ation rate and a banking...

We study market perception of sovereign credit risk in the euro area during the financial crisis. In our analysis we use a parsimonious CDS pricing model to estimate the probability of default (PD) and the loss given default (LGD) as perceived by financial markets. We find that separate...

We analyze the market assessment of sovereign credit risk in an emerging market using a reduced-form model to price the credit default swap (CDS) spreads thus enabling us to derive values for the probability of default (PD) and loss given default (LGD) from the quotes of sovereign CDS contracts....

We apply the Diebold-Yilmaz connectedness index methodology on sovereign credit default swaps (SCDSs) to estimate the network structure of global sovereign credit risk. In particular, using the elastic net estimation method, we separately estimate networks of daily SCDS returns and volatilities...

We apply the Diebold-Yilmaz connectedness index methodology on sovereign credit default swaps (SCDSs) to estimate the network structure of global sovereign credit risk. In particular, using the elastic net estimation method, we separately estimate networks of daily SCDS returns and volatilities...

We study market perception of sovereign credit risk in the euro area during the financial crisis. In our analysis we use a parsimonious CDS pricing model to estimate market implied measures of the probability of default (PD) and of the loss given default (LGD). We find that separate...

We analyze the market assessment of sovereign credit risk in an emerging market using a reduced-form model to price the credit default swap (CDS) spreads thus enabling us to derive values for the probability of default (PD) and loss given default (LGD) from the quotes of sovereign CDS contracts....