| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A minimal noise trader model with realistic time series |
0 |
0 |
0 |
2 |
0 |
0 |
3 |
270 |
| A minimal noise trader model with realistic time series properties |
0 |
0 |
0 |
96 |
0 |
0 |
3 |
393 |
| A minimal noise trader model with realistic time series properties |
0 |
0 |
0 |
73 |
0 |
1 |
4 |
322 |
| A noise trader model as a generator of apparent financial power laws and long memory |
0 |
0 |
0 |
258 |
0 |
0 |
3 |
891 |
| Agent-based Models of Financial Markets |
0 |
0 |
3 |
84 |
3 |
6 |
18 |
257 |
| Applications of statistical physics in finance and economics |
0 |
0 |
1 |
690 |
0 |
1 |
5 |
2,202 |
| Detecting multi-fractal properties in asset returns: The failure of the scaling estimator |
0 |
0 |
0 |
135 |
0 |
0 |
2 |
333 |
| Excess Volatility and Herding in an Artificial Financial Market: Analytical Approach and Estimation |
0 |
0 |
0 |
133 |
1 |
2 |
4 |
309 |
| Extreme Value Theory as a Theoretical Background for Power Law Behavior |
0 |
0 |
0 |
106 |
1 |
1 |
2 |
333 |
| Financial power laws: Empirical evidence, models, and mechanism |
0 |
0 |
2 |
260 |
2 |
2 |
6 |
589 |
| Forecasting Volume and Volatility in the Tokyo Stock Market: The Advantage of Long Memory Models |
0 |
0 |
0 |
2 |
0 |
1 |
1 |
554 |
| Forecasting volatility and volume in the Tokyo stock market: Long memory, fractality and regime switching |
0 |
0 |
0 |
361 |
0 |
1 |
4 |
995 |
| Forecasting volatility and volume in the Tokyo stock market: The advantage of long memory models |
0 |
0 |
0 |
243 |
0 |
0 |
9 |
721 |
| Genetic Learning and the Stylized Facts of Foreign Exchange Markets |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
210 |
| Genetic learning as an explanation of stylized facts of foreign exchange markets |
0 |
0 |
0 |
38 |
1 |
1 |
2 |
200 |
| Genetic learning as an explanation of stylized facts of foreign exchange markets |
0 |
0 |
0 |
124 |
0 |
0 |
4 |
435 |
| Individual Expectations and Aggregate Behavior in Learning to Forcast Experiments |
0 |
0 |
0 |
32 |
0 |
0 |
3 |
124 |
| Microscopic Models of Financial Markets |
0 |
0 |
0 |
13 |
0 |
0 |
5 |
69 |
| Microscopic models of financial markets |
0 |
0 |
1 |
179 |
0 |
0 |
9 |
534 |
| Multifractality and long-range dependence of asset returns: The scaling behaviour of the Markov-switching multifractal model with lognormal volatility components |
0 |
0 |
1 |
55 |
0 |
0 |
4 |
146 |
| On Dynamics in An Asset Pricing Model with Heterogeneous Expectations |
0 |
0 |
0 |
185 |
0 |
1 |
2 |
595 |
| On Rational Bubbles and Fat Tails |
0 |
0 |
1 |
45 |
1 |
1 |
5 |
135 |
| Rational forecasts or social opinion dynamics? Identification of interaction effects in a business climate survey |
0 |
0 |
0 |
45 |
0 |
0 |
4 |
211 |
| Reintegrating the Social Sciences: The Dahlem Group |
0 |
0 |
0 |
155 |
1 |
2 |
2 |
256 |
| Stochastic behavioral asset pricing models and the stylized facts |
0 |
0 |
1 |
129 |
1 |
1 |
5 |
356 |
| The Financial Crisis and the Systemic Failure of Academic Economics |
0 |
0 |
2 |
589 |
0 |
0 |
16 |
1,492 |
| The Financial Crisis and the Systemic Failure of Academic Economics |
0 |
0 |
1 |
434 |
0 |
2 |
5 |
973 |
| The Markov-Switching Multifractal Model of asset returns: GMM estimation and linear forecasting of volatility |
1 |
2 |
7 |
587 |
3 |
7 |
27 |
1,417 |
| The Markov-switching multi-fractal model of asset returns: GMM estimation and linear forecasting of volatility |
0 |
1 |
1 |
246 |
0 |
1 |
18 |
792 |
| The Multi-Fractal Model of Asset Returns: Simple Moment and GMM Estimation |
0 |
0 |
0 |
241 |
1 |
1 |
6 |
1,259 |
| The Multi-Fractal Model of Asset Returns:Its Estimation via GMM and Its Use for Volatility Forecasting |
0 |
0 |
0 |
3 |
0 |
0 |
2 |
337 |
| The multi-fractal model of asset returns: Its estimation via GMM and its use for volatility forecasting |
0 |
0 |
0 |
561 |
0 |
1 |
6 |
1,298 |
| Time-variation of higher moments in a financial market with heterogeneous agents: An analytical approach |
0 |
0 |
0 |
96 |
0 |
0 |
4 |
262 |
| Time-variation of higher moments in a financial market with heterogeneous agents: An analytical approach |
0 |
0 |
0 |
132 |
0 |
0 |
4 |
479 |
| True and Apparent Scaling: The Proximity of the Markov- Switching Multifractal Model to Long-Range Dependence |
0 |
0 |
0 |
100 |
0 |
0 |
2 |
278 |
| True and Apparent Scaling: The Proximity of the Markov-Switching Multifractal Model to Long-Range Dependence |
0 |
0 |
0 |
14 |
0 |
0 |
1 |
78 |
| Total Working Papers |
1 |
3 |
21 |
6,446 |
15 |
33 |
200 |
20,105 |
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