A particle-filter based estimation method is developed for the stochastic volatility model with/without jumps and applied on the S&P 500 index value and the VIX term structure jointly. The model encompasses all mean-reverting stochastic volatility option pricing models with a constant elasticity of variance, and can allow for price jumps. Our contention is that using the VIX term structure in estimation can help us reach a more reliable conclusion in terms of the nature of the risk-neutral volatility dynamic. Our empirical findings are: (1) the volatility process under the risk-neutral measure is mean-reverting; (2) the jump intensity is time-varying; (3) the jump and volatility risks are priced; (4) the measurement errors in VIXs are m...
We develop and implement a method for maximum likelihood estimation of a regime-switching stochastic...
We propose a class of discrete-time stochastic volatility models that, in a parsimonious way, captur...
This paper studies the continuous-time dynamics of VIX with stochastic volatility and jumps in VIX a...
The paper presents alternate stochastic variance models of VIX time evolution, and develops closed-f...
Volatility indices are becoming increasingly popular as a measure of market uncertainty and as a new...
Since the inception of the volatility index (VIX) by the CBOE, in particular, the introduction of th...
Implied volatility indices are becoming increasingly popular as a measure of market uncertainty and ...
<div><p>This article describes a maximum likelihood method for estimating the parameters of the stan...
In this paper we examine and compare the performance of a variety of continuous- time volatility mod...
This article describes a maximum likelihood method for estimating the parameters of the standard squ...
This study analyses the new market for trading volatility; VIX futures. We first use market data to ...
In this paper we present a closed-form, exact solution for the pricing of VIX futures in a stochasti...
We estimate a flexible affine model using an unbalanced panel containing S&P 500 and VIX index retur...
Despite the success of particle filter, there are two factors which cause difficulties in its implem...
The S&P 500 and VIX option markets are closely connected as both options depend on the volatilit...
We develop and implement a method for maximum likelihood estimation of a regime-switching stochastic...
We propose a class of discrete-time stochastic volatility models that, in a parsimonious way, captur...
This paper studies the continuous-time dynamics of VIX with stochastic volatility and jumps in VIX a...
The paper presents alternate stochastic variance models of VIX time evolution, and develops closed-f...
Volatility indices are becoming increasingly popular as a measure of market uncertainty and as a new...
Since the inception of the volatility index (VIX) by the CBOE, in particular, the introduction of th...
Implied volatility indices are becoming increasingly popular as a measure of market uncertainty and ...
<div><p>This article describes a maximum likelihood method for estimating the parameters of the stan...
In this paper we examine and compare the performance of a variety of continuous- time volatility mod...
This article describes a maximum likelihood method for estimating the parameters of the standard squ...
This study analyses the new market for trading volatility; VIX futures. We first use market data to ...
In this paper we present a closed-form, exact solution for the pricing of VIX futures in a stochasti...
We estimate a flexible affine model using an unbalanced panel containing S&P 500 and VIX index retur...
Despite the success of particle filter, there are two factors which cause difficulties in its implem...
The S&P 500 and VIX option markets are closely connected as both options depend on the volatilit...
We develop and implement a method for maximum likelihood estimation of a regime-switching stochastic...
We propose a class of discrete-time stochastic volatility models that, in a parsimonious way, captur...
This paper studies the continuous-time dynamics of VIX with stochastic volatility and jumps in VIX a...