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This dissertation contains applications of agent-based financial market models and nonlinear econometric methods in financial economics. The first part deals with the analysis of the effectiveness of currency transaction taxes within financial market models with traders with heterogeneous...
Persistent link: https://www.econbiz.de/10008664302
Markov chains have experienced a surge of economic interest in the form of behavioral agent-based models that aim at explaining the statistical regularities of financial returns. We review some of the relevant mathematical facts and show how they apply to agent-based herding models, with the...
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Multifractal processes have recently been proposed as a new formalism for modelling the time series of returns in finance. The major attraction of these processes is their ability to generate various degrees of long memory in different powers of returns - a feature that has been found in...
Persistent link: https://www.econbiz.de/10003392192
theory, which provide a statistical justification for the emergence of power laws as limiting behavior for extreme … fluctuations. The remarkable generality of the theory allows to abstract from the details of the system under investigation, and … therefore allows its application in many diverse fields. Moreover, this theory offers new powerful techniques for the estimation …
Persistent link: https://www.econbiz.de/10008654245
Maximum likelihood estimation of discretely observed diffusion processes is mostly hampered by the lack of a closed form solution of the transient density. It has recently been argued that a most generic remedy to this problem is the numerical solution of the pertinent Fokker-Planck (FP) or...
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The volatility specification of the Markov-switching Multifractal (MSM) model is proposed as an alternative mechanism for realized volatility (RV). We estimate the RV-MSM model via Generalized Method of Moments and perform forecasting by means of best linear forecasts derived via the...
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