The paper proposes a new class of continuous-time asset pricing models where whenever there is a negative jump in asset returns, it is simultaneously passed on to diffusion variance and the jump intensity, generating co-jumps of prices and volatility and jump clustering. To properly deal with...

The paper proposes a new class of continuous-time asset pricing models where negative jumps play a crucial role. Whenever there is a negative jump in asset returns, it is simultaneously passed on to diffusion variance and the jump intensity, generating self-exciting co-jumps of prices and...

The paper proposes a new class of continuous-time asset pricing models where negative jumps play a crucial role. Whenever there is a negative jump in asset re- turns, it is simultaneously passed on to diffusion variance and the jump intensity, generating self-exciting co-jumps of prices and...

The transformed-data maximum likelihood estimation (MLE) method for struc- tural credit risk models developed by Duan (1994) is extended to account for the fact that observed equity prices may have been contaminated by trading noises. With the presence of trading noises, the likelihood function...

We develop a new asset price model where the dynamic structure of the asset price, after the fundamental value is removed, is subject to two different regimes. One regime reflects the norma period where the asset price divided by the divided is assumed to follow a mean-reverting process around a...

This paper addresses whether credit rating downgrades feed back on the asset value of the downgraded companies, causing real losses. To investigate this issue we construct a structural credit risk model incorporating ratings and the feedback loss. To estimate the parameters of the model we...

The transformed-data maximum likelihood estimation (MLE) method for structural credit risk models developed by Duan (1994) is extended to account for the fact that observed equity prices may have been contaminated by trading noises. With the presence of trading noises, the likelihood function...

The transformed-data maximum likelihood estimation (MLE) method for structural credit risk models developed by Duan [Duan, J.-C., 1994. Maximum likelihood estimation using price data of the derivative contract. Mathematical Finance 4, 155-167] is extended to account for the fact that observed...

We develop a multivariate credit risk model for the term structures of sovereign and bank credit default swaps. First, we separate the probability of joint defaults of large Eurozone sovereigns (systemic risk) from that of sovereign-specific defaults (country risk). Then, we quantify individual...

We develop a multivariate credit risk model that accounts for joint defaults of banks and al-lows us to disentangle how much of banks' credit risk is systemic. We find that the US and UK dif-fer not only in the evolution of systemic risk, but in particular in their banks' systemic exposures. In...