This thesis builds upon work by Breuer et al. which asked how the leverage cycle model of John Geanakoplos can be implemented in a continuous double auction and under which circumstances holdings and trading prices approach an equilibrium. A main criteria is the trading network the agents use where the authors examine only two topologies and report that the prices come to an equilibrium only in the case of a fully connected network. They leave the question open on how the model behaves with different kinds of networks and which network topology allows an equilibrium to be reached for further research. This thesis builds upon this model and gives a hypothesis for the necessary property a network must satisfy to allow the model to approach the theoretical equilibrium as reported by Breuer et al. A few network topologies are examined in regard of their ability to allow equilibria to be reached or not through agent-based simulation. The results are surprising as they show that the model is incomplete and needs to be extended by an additional market. Although adding this market shows that some problems can be overcome, it becomes clear that the original hypothesis is infeasible.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This thesis builds upon work by Breuer et al. which asked how the leverage cycle model of John Geanakoplos can be implemented in a continuous double auction and under which circumstances holdings and trading prices approach an equilibrium. A main criteria is the trading network the agents use where the authors examine only two topologies and report that the prices come to an equilibrium only in the case of a fully connected network. They leave the question open on how the model behaves with different kinds of networks and which network topology allows an equilibrium to be reached for further research. This thesis builds upon this model and gives a hypothesis for the necessary property a network must satisfy to allow the model to approach the theoretical equilibrium as reported by Breuer et al. A few network topologies are examined in regard of their ability to allow equilibria to be reached or not through agent-based simulation. The results are surprising as they show that the model is incomplete and needs to be extended by an additional market. Although adding this market shows that some problems can be overcome, it becomes clear that the original hypothesis is infeasible.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This thesis builds upon work by Breuer et al. which asked how the leverage cycle model of John Geanakoplos can be implemented in a continuous double auction and under which circumstances holdings and trading prices approach an equilibrium. A main criteria is the trading network the agents use where the authors examine only two topologies and report that the prices come to an equilibrium only in the case of a fully connected network. They leave the question open on how the model behaves with different kinds of networks and which network topology allows an equilibrium to be reached for further research. This thesis builds upon this model and gives a hypothesis for the necessary property a network must satisfy to allow the model to approach the theoretical equilibrium as reported by Breuer et al. A few network topologies are examined in regard of their ability to allow equilibria to be reached or not through agent-based simulation. The results are surprising as they show that the model is incomplete and needs to be extended by an additional market. Although adding this market shows that some problems can be overcome, it becomes clear that the original hypothesis is infeasible. 180 pp. Englisch. N° de réf. du vendeur 9786202201438
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Thaler JonathanJonathan Thaler, M.Sc.: studies of computer graphics at University of Technology Vienna, complex systems and agent-based simulation at University of Applied Sciences Vorarlberg. Ph.D. student at University of Nottingha. N° de réf. du vendeur 385934272
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Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. pp. 180. N° de réf. du vendeur 26375868571
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand pp. 180. N° de réf. du vendeur 370209604
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND pp. 180. N° de réf. du vendeur 18375868561
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 180 pages. 8.66x5.91x0.41 inches. In Stock. N° de réf. du vendeur zk6202201436
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This thesis builds upon work by Breuer et al. which asked how the leverage cycle model of John Geanakoplos can be implemented in a continuous double auction and under which circumstances holdings and trading prices approach an equilibrium. A main criteria is the trading network the agents use where the authors examine only two topologies and report that the prices come to an equilibrium only in the case of a fully connected network. They leave the question open on how the model behaves with different kinds of networks and which network topology allows an equilibrium to be reached for further research. This thesis builds upon this model and gives a hypothesis for the necessary property a network must satisfy to allow the model to approach the theoretical equilibrium as reported by Breuer et al. A few network topologies are examined in regard of their ability to allow equilibria to be reached or not through agent-based simulation. The results are surprising as they show that the model is incomplete and needs to be extended by an additional market. Although adding this market shows that some problems can be overcome, it becomes clear that the original hypothesis is infeasible.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 180 pp. Englisch. N° de réf. du vendeur 9786202201438
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Continuous Double Auctions in Networks | An approach with Agent-Based Simulation | Jonathan Thaler | Taschenbuch | 180 S. | Englisch | 2017 | AV Akademikerverlag | EAN 9786202201438 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 110148662
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This thesis builds upon work by Breuer et al. which asked how the leverage cycle model of John Geanakoplos can be implemented in a continuous double auction and under which circumstances holdings and trading prices approach an equilibrium. A main criteria is the trading network the agents use where the authors examine only two topologies and report that the prices come to an equilibrium only in the case of a fully connected network. They leave the question open on how the model behaves with different kinds of networks and which network topology allows an equilibrium to be reached for further research. This thesis builds upon this model and gives a hypothesis for the necessary property a network must satisfy to allow the model to approach the theoretical equilibrium as reported by Breuer et al. A few network topologies are examined in regard of their ability to allow equilibria to be reached or not through agent-based simulation. The results are surprising as they show that the model is incomplete and needs to be extended by an additional market. Although adding this market shows that some problems can be overcome, it becomes clear that the original hypothesis is infeasible. N° de réf. du vendeur 9786202201438
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