Showing 1 - 10 of 72
We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular emphasis of this paper is on assessing the performance of long memory time series models in comparison to their short-memory counterparts. Since long memory models should have a...
Persistent link: https://www.econbiz.de/10010294979
Simulations of agent-based models have shown that the stylized facts (unit-root, fat tails and volatility clustering) of financial markets have a possible explanation in the interactions among agents. However, the complexity, originating from the presence of non-linearity and interactions, often...
Persistent link: https://www.econbiz.de/10010295000
Simulations of agent-based models have shown that the stylized facts (unit-root, fat tails and volatility clustering) of financial markets have a possible explanation in the interactions among agents. However, the complexity, originating from the presence of non-linearity and interactions, often...
Persistent link: https://www.econbiz.de/10010295031
In various agent-based models the stylized facts of financial markets (unit-roots, fat tails and volatility clustering) have been shown to emerge from the interactions of agents. However, the complexity of these models often limits their analytical accessibility. In this paper we show that even...
Persistent link: https://www.econbiz.de/10010295050
its parameters consistently via GMM (Generalized Method of Moment). Simulations show that this approach leads to …
Persistent link: https://www.econbiz.de/10010295056
even if they are drawn from a discrete distribution. Here we propose an alternative GMM estimator together with linear … studies show that GMM performs reasonably well for the popular Binomial and Lognormal models and that the loss incured with …
Persistent link: https://www.econbiz.de/10010295106
We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular emphasis of this paper is on assessing the performance of long memory time series models in comparison to their short-memory counterparts. Since long memory models should have a...
Persistent link: https://www.econbiz.de/10010295136
It has become popular recently to apply the multifractal formalism of statistical physics (scaling analysis of structure functions and f(a) singularity spectrum analysis) to financial data. The outcome of such studies is a nonlinear shape of the structure function and a nontrivial behavior of...
Persistent link: https://www.econbiz.de/10010295150
they are drawn from a discrete distribution. Here we propose an alternative GMM estimator together with linear forecasts … studies show that GMM performs reasonably well for the popular Binomial and Lognormal models and that the loss incurred with …
Persistent link: https://www.econbiz.de/10010295151
This paper shows how exact solutions for the transient density of a large class of continuous-time Markov switching models can be obtained. We illustrate the pertinent approach for both simple diffusion models with a small number of regimes as well as for the more complicated so-called Poisson...
Persistent link: https://www.econbiz.de/10010322358