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The effects of a financial transaction tax in an artificial financial market
Fricke, Daniel; Lux, Thomas - 2013
We investigate the effects of a Financial Transaction Tax (FTT) in an order-driven artificial financial market. FTTs are meant to limit short-term speculative behavior by reducing the amount of excess liquidity in the system. To quantify these effects, adjustments in trading strategies and their...
Persistent link: https://www.econbiz.de/10009783698
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The effects of a financial transaction tax in an artificial financial market
Fricke, Daniel; Lux, Thomas - In: Journal of economic interaction and coordination : JEIC 10 (2015) 1, pp. 119-150
Persistent link: https://www.econbiz.de/10011378750
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Complex interactions in financial markets
Finger, Karl - 2014
Persistent link: https://www.econbiz.de/10011305495
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Applications of agent-based models and nonlinear econometrics in finance
Demary, Markus - 2010
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
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Coping with the complexity of financial markets
Fricke, Daniel - 2013
Persistent link: https://www.econbiz.de/10009726438
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Forecasting volatility and volume in the Tokyo stock market: Long memory, fractality and regime switching
Lux, Thomas; Kaizoji, Taisei - 2006
We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular … practically always improves upon the na?ve forecast provided by historical volatility. As a somewhat surprising result, we also …
Persistent link: https://www.econbiz.de/10010294979
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The Markov-switching multi-fractal model of asset returns: GMM estimation and linear forecasting of volatility
Lux, Thomas - 2004
Bayesian forecasting of volatility. However, applicability of MLE is restricted to cases with a discrete distribution of … volatility components. From a practical point of view, ML also becomes computationally unfeasible for large numbers of components … forecasts which in principle is applicable for any continuous distribution with any number of volatility components. Monte Carlo …
Persistent link: https://www.econbiz.de/10010295106
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Forecasting volatility and volume in the Tokyo stock market: The advantage of long memory models
Lux, Thomas; Kaizoji, Taisei - 2004
We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular … practically always improves upon the na?ve forecast provided by historical volatility. As a somewhat surprising result, we also …
Persistent link: https://www.econbiz.de/10010295136
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The Markov-Switching Multifractal Model of asset returns: GMM estimation and linear forecasting of volatility
Lux, Thomas - 2006
forecasting of volatility. However, applicability of MLE is restricted to cases with a discrete distribution of volatility … which in principle is applicable for any continuous distribution with any number of volatility components. Monte Carlo … linear compared to optimal forecasts is small. Extending the number of volatility components beyond what is feasible with MLE …
Persistent link: https://www.econbiz.de/10010295151