This paper studies the theoretical properties and implementation issues with the risk-neutral density (RND) estimator based on the mixture-of-lognormal (MLN) approach. First, we establish the consistency and asymptotic normality of the MLN method under the correct choice of mixtures and propose...

We propose a general, accurate and fast econometric approach for the estimation of affine option pricing models. The algorithm belongs to the class of Laplace-Type Estimation (LTE) techniques and exploits Sequential Monte Carlo (SMC) methods. We employ functions of the risk-neutral cumulants...

Exponential smooth transition autoregressive (ESTAR) models are widely used in the international finance literature, particularly for the modelling of real exchange rates. We show that the exponential function is ill-suited as a regime weighting function because of two undesirable properties....

Risk neutral densities (RND) can be used to forecast the price of the underlying basis for the option, or it may be used to price other derivates based on the same sequence. The method adopted in this paper to calculate the RND is to firts estimate daily the diffusion process of the underlying...

In this paper we test for the short-term impact of foreign exchange intervention on both the level of the yen/dollar exchange rate and the volatility in the yen/dollar markets. Using newly released data on Japanese foreign exchange intervention, our global GARCH estimation suggests that Japanese...

In this paper we test for the short-term impact of foreign exchange intervention on both the level of the yen/dollar exchange rate and the volatility in the yen/dollar markets. Using newly released data on Japanese foreign exchange intervention, our global GARCH estimation suggests that Japanese...