We use a novel pricing model to imply time series of diffusive volatility and jump intensity from S&P 500 index options. These two measures capture the ex ante risk assessed by investors. Using a simple general equilibrium model, we translate the implied measures of ex ante risk into an ex ante risk premium. The average premium that compensates the investor for the ex ante risks is 70% higher than the premium for realized volatility. The equity premium implied from option prices is shown to significantly predict subsequent stock market returns
This thesis comprises of three essays that explore the theoretical development as well as the empi...
We introduce a discrete-time model for log-return dynamics with observable volatility and jumps. Our...
We explore the pricing of tail risk as manifest in index options across international equity markets...
We use a novel pricing model to imply time series of diffusive volatility and jump intensity from S&...
Abstract—We use a novel pricing model to imply time series of diffusive volatility and jump intensit...
We use a novel pricing model to filter times series of diffusive volatility and jump intensity from ...
We use a novel pricing model to filter times series of diffusive volatility and jump intensity from ...
Both volatility and the tail of the stock return distribution are impacted by discontinuities ( larg...
This paper considers the measurement of the equity risk premium in financial markets from a new pers...
This paper examines the equilibrium when negative stock market jumps (crashes) can occur, and invest...
The first essay investigates the option-implied investor preferences by comparing equilibrium option...
High‐frequency jump tests are applied to the prices of both futures contracts and their options, to ...
We introduce a discrete-time model for log-return dynamics with observable volatility and jumps. Our...
Jump-diffusions are a class of models that is used to model the price dynamics of assets whose value...
We introduce a discrete-time model for log-return dynamics with observable volatility and jumps. Our...
This thesis comprises of three essays that explore the theoretical development as well as the empi...
We introduce a discrete-time model for log-return dynamics with observable volatility and jumps. Our...
We explore the pricing of tail risk as manifest in index options across international equity markets...
We use a novel pricing model to imply time series of diffusive volatility and jump intensity from S&...
Abstract—We use a novel pricing model to imply time series of diffusive volatility and jump intensit...
We use a novel pricing model to filter times series of diffusive volatility and jump intensity from ...
We use a novel pricing model to filter times series of diffusive volatility and jump intensity from ...
Both volatility and the tail of the stock return distribution are impacted by discontinuities ( larg...
This paper considers the measurement of the equity risk premium in financial markets from a new pers...
This paper examines the equilibrium when negative stock market jumps (crashes) can occur, and invest...
The first essay investigates the option-implied investor preferences by comparing equilibrium option...
High‐frequency jump tests are applied to the prices of both futures contracts and their options, to ...
We introduce a discrete-time model for log-return dynamics with observable volatility and jumps. Our...
Jump-diffusions are a class of models that is used to model the price dynamics of assets whose value...
We introduce a discrete-time model for log-return dynamics with observable volatility and jumps. Our...
This thesis comprises of three essays that explore the theoretical development as well as the empi...
We introduce a discrete-time model for log-return dynamics with observable volatility and jumps. Our...
We explore the pricing of tail risk as manifest in index options across international equity markets...