Department of Applied Mathematics, University of Venice / Working Papers
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  Most cited documents in this series: (1) RePEc:vnm:wpaper:134 The allocative effectiveness of market protocols under intelligent trading (2006). Cited: 4 times. (2) RePEc:vnm:wpaper:150 Mean-Variance Portfolio Selection with Reference Dependent Preferences (2007). Cited: 2 times. (3) RePEc:vnm:wpaper:140 A comparison of different trading protocols in an agent-based market (2006). Cited: 2 times. (4) RePEc:vnm:wpaper:149 Asset price dynamics with small world interactions under hetereogeneous beliefs (2007). Cited: 1 times. (5) RePEc:vnm:wpaper:142 On the characterization of convex premium principles (2006). Cited: 1 times. (6) RePEc:vnm:wpaper:168 Allocative efficiency and traders protection under zero intelligence behavior (2009). Cited: 1 times. (7) RePEc:vnm:wpaper:160 Asset return and wealth dynamics with reference dependent preferences and heterogeneous beliefs (2008). Cited: 1 times. (8) RePEc:vnm:wpaper:143 A credit contagion model for loan portfolios in a network of firms with spatial interaction (2006). Cited: 1 times. (9) RePEc:vnm:wpaper:171 A network of business relations to model counterparty risk (2008). Cited: 1 times. (10) RePEc:vnm:wpaper:164 Zero-Intelligence Trading without Resampling (2008). Cited: 1 times. (11) RePEc:vnm:wpaper:151 Which market protocols facilitate fair trading? (2007). Cited: 1 times. Recent citations received in: | 2007 | 2006 | 2005 | 2004 Recent citations received in: 2007 Recent citations received in: 2006 (1) RePEc:vnm:wpaper:136 Simple Market Protocols for Efficient Risk Sharing (2006). Department of Applied Mathematics, University of Venice / Working Papers Recent citations received in: 2005 Recent citations received in: 2004 Warning!! This is still an experimental service. The results of this service should be interpreted with care, especially in research assessment exercises. The processing of documents is automatic. There still are errors and omissions in the identification of references. We are working to improve the software to increase the accuracy of the results. Source data used to compute the impact factor of RePEc series.
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