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Munich Personal RePEc Archive

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Group by: Date | Item ID
Number of items: 24.

24138

Alfarano, Simone and Eva, Camacho and Josep, Domènech (2010): Estimation of a simple genetic algorithm applied to a laboratory experiment.

24718

Alfarano, Simone and Lux, Thomas (2010): Extreme Value Theory as a Theoretical Background for Power Law Behavior.

24719

Alfarano, Simone and Lux, Thomas and Wagner, Friedrich (2010): Excess Volatility and Herding in an Artificial Financial Market: Analytical Approach and Estimation.

26002

Alfarano, Simone and Milakovic, Mishael (2010): Identification of Interaction Effects in Survey Expectations: A Cautionary Note.

28964

Livan, Giacomo and Alfarano, Simone and Scalas, Enrico (2011): The fine structure of spectral properties for random correlation matrices: an application to financial markets.

30902

Alfarano, Simone and Milakovic, Mishael and Raddant, Matthias (2011): A Note on institutional hierarchy and volatility in financial markets.

35857

Erlingsson, Einar Jón and Alfarano, Simone and Raberto, Marco and Stefánsson, Hlynur (2012): On the distributional properties of size, pro fit and growth of Icelandic firms.

75621

Colasante, Annarita and Alfarano, Simone and Camacho-Cuena, Eva and Gallegati, Mauro (2016): Long-run expectations in a Learning-to-Forecast Experiment.

77618

Colasante, Annarita and Alfarano, Simone and Camacho Cuena, Eva and Gallegati, Mauro (2017): Long-run expectations in a Learning-to-Forecast-Experiment: a simulation approach.

84835

Colasante, Annarita and Alfarano, Simone and Camacho-Cuena, Eva (2018): The term structure of cross-sectional dispersion of expectations in a Learning-to-Forecast Experiment.

87599

Blanco-Arroyo, Omar and Ruiz-Buforn, Alba and Vidal-Tomás, David and Alfarano, Simone (2018): On the determination of the granular size of the economy.

88866

Ruiz-Buforn, Alba and Alfarano, Simone and Camacho-Cuena, Eva and Morone, Andrea (2018): Crowding out effect and traders' overreliance on public information in financial markets: a lesson from the lab.

89693

Vidal-Tomás, David and Alfarano, Simone (2018): An agent based early warning indicator for financial market instability.

92391

Colasante, Annarita and Alfarano, Simone and Camacho-Cuena, Eva (2019): Heuristic Switching Model and Exploration-Explotation Algorithm to describe long-run expectations in LtFEs: a comparison.

93288

Ruiz-Buforn, Alba and Alfarano, Simone and Camacho-Cuena, Eva (2019): Price distortions and public information: theory, experiments and simulations.

93913

Blanco-Arroyo, Omar and Ruiz-Buforn, Alba and Vidal-Tomás, David and Alfarano, Simone (2019): Empresas granulares y desagregación regional: un análisis del caso español.

95424

Ruiz-Buforn, Alba and Alfarano, Simone and Morone, Andrea (2019): Welfare effects of public information in a laboratory financial market.

98472

Ruiz-Buforn, Alba and Camacho-Cuena, Eva and Morone, Andrea and Alfarano, Simone (2020): Overweighting of public information in financial markets: A lesson from the lab.

99129

Alfarano, Simone and Banal-Estanol, Albert and Camacho-Cuena, Eva and Iori, Giulia and Kapar, Burcu (2020): Centralized vs decentralized markets in the laboratory: The role of connectivity.

101035

Ruiz-Buforn, Alba and Alfarano, Simone and Camacho-Cuena, Eva and Morone, Andrea (2020): Single vs. multiple disclosures in an experimental asset market with information acquisition.

102065

Vidal-Tomás, David and Ruiz-Buforn, Aba and Blanco-Arroyo, Omar and Alfarano, Simone (2020): A cross-sectional analysis of growth and profit rate distribution: the Spanish case.

107317

Steinbacher, Mitja and Raddant, Matthias and Karimi, Fariba and Camacho-Cuena, Eva and Alfarano, Simone and Iori, Giulia and Lux, Thomas (2021): Advances in the Agent-Based Modeling of Economic and Social Behavior.

111972

Alfarano, Simone and Blanco-Arroyo, Omar (2022): Banking Sector Concentration, Credit Supply Shocks and Aggregate Fluctuations.

113086

Alfarano, Simone and Camacho-Cuena, Eva and Colasante, Annarita and Ruiz-Buforn, Alba (2022): The effect of time-varying fundamentals in Learning-to-Forecast Experiments.

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