This study investigates the real options with spatial analysis in China's real estate markets. We employ new detailed macro-level data set for 31 provinces in China to test the central predictions of real options with respect to land development. We extended the real options method with spatial...

The relationship between uncertainty and economic activity has attracted substantial interest in recent macroeconomics literature. Empirical work has mostly focused on short-run and medium-term effects of uncertainty shocks. However, there are a number of mechanisms that may cause a response of...

We study option pricing and hedging with uncertainty about a Black-Scholes reference model which is dynamically recalibrated to the market price of a liquidly traded vanilla option. For dynamic trading in the underlying asset and this vanilla option, delta-vega hedging is asymptotically optimal...

We study the pricing and hedging of derivative securities with uncertainty about the volatility of the underlying asset. Rather than taking all models from a prespecified class equally seriously, we penalise less plausible ones based on their "distance" to a reference local volatility model. In...

Model and parameter uncertainties are ubiquitous whenever a parametric model is selected to value a derivative instrument. Combining the Monte Carlo method and the Smolyak interpolation algorithm, this paper proposes an accurate and efficient numerical method to quantify the uncertainty embedded...