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The Heston model stands out from the class of stochastic volatility (SV) models mainly for two reasons. Firstly, the process for the volatility is non-negative and mean-reverting, which is what we observe in the markets. Secondly, there exists a fast and easily implemented semi-analytical...
Persistent link: https://www.econbiz.de/10008678292
software program and performed the computer modeling, using the Stratonovich – Kalman – Bucy filtering algorithm for the … the central banks can use our special software program with the aim to greatly improve the national macroeconomic …
Persistent link: https://www.econbiz.de/10011258833
In state-of-the-art macroeconomic and labor market models shocks are assumed to be homoscedastic. However, we show that this assumption is much too restrictive. We �find signifi�cant evidence for strong time-varying volatility in all considered labor market time series. First, we estimate...
Persistent link: https://www.econbiz.de/10011259425
Dramatic changes in macroeconomic time series volatility pose a challenge to contemporary vector autoregressive (VAR) forecasting models. Traditionally, the conditional volatility of such models had been assumed constant over time or allowed for breaks across long time periods. More recent work,...
Persistent link: https://www.econbiz.de/10011260282
the software program with the embedded Stratonovich – Kalman - Bucy filtering algorithm and the particle filtering …
Persistent link: https://www.econbiz.de/10011260821
This paper considers a class of nonstationary Gaussian processes with possible long-range dependence (LRD) and intermittency. The author proposes a new estimation method to simultaneously estimate both the LRD and intermittency parameter. An application of the proposed estimation method to a...
Persistent link: https://www.econbiz.de/10005260167
In this paper, we aim at forecasting the stochastic volatility of key financial market variables with the Kalman filter using stochastic models developed by Taylor (1986,1994) and Nelson (1990). First, we compare a stochastic volatility model relying on the Kalman filter to the conditional...
Persistent link: https://www.econbiz.de/10009418474
We propose a model for stock price dynamics that explicitly incorporates random waiting times between trades, also known as duration, and show how option prices can be alculated using this model. We use ultra-high-frequency data for blue-chip companies to motivate a particular choice of...
Persistent link: https://www.econbiz.de/10005039972
This paper is an eclectic study of the uses of the Kalman filter in existing econometric literature. An effort is made to introduce the various extensions to the linear filter first developed by Kalman(1960) through examples of their uses in economics. The basic filter is first derived and then...
Persistent link: https://www.econbiz.de/10008506113
We discuss the Heston [Heston-1993] model with stochastic interest rates driven by Hull-White [Hull,White-1996] (HW) or Cox-Ingersoll-Ross [Cox, et al.-1985] (CIR) processes. A so-called volatility compensator is defined which guarantees that the Heston hybrid model with a non-zero correlation...
Persistent link: https://www.econbiz.de/10008548825