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| Here the demand is increasing, as with [[Veblen good]]s or stock buyers with the [[Hot-hand fallacy#Consumers|"hot hand"]] fallacy preferring to buy more successful stocks and sell those that are less successful.<ref name="Johnson2005">{{cite journal|last=Johnson|first=Joseph|author2=Tellis, G.J. |author3=Macinnis, D.J. |s2cid=145211986|title=Losers, Winners, and Biased Trades|journal=Journal of Consumer Research|year=2005|volume=2|issue=32|pages=324–329|doi=10.1086/432241}}</ref> | | Here the demand is increasing, as with [[Veblen good]]s or stock buyers with the [[Hot-hand fallacy#Consumers|"hot hand"]] fallacy preferring to buy more successful stocks and sell those that are less successful.<ref name="Johnson2005">{{cite journal|last=Johnson|first=Joseph|author2=Tellis, G.J. |author3=Macinnis, D.J. |s2cid=145211986|title=Losers, Winners, and Biased Trades|journal=Journal of Consumer Research|year=2005|volume=2|issue=32|pages=324–329|doi=10.1086/432241}}</ref> |
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| Here the demand is increasing, as with Veblen goods or stock buyers with the "hot hand" fallacy preferring to buy more successful stocks and sell those that are less successful. | | Here the demand is increasing, as with Veblen goods or stock buyers with the "hot hand" fallacy preferring to buy more successful stocks and sell those that are less successful. |
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| Vernon L. Smith used these techniques to model sociability in economics. There, a model correctly predicts that agents are averse to resentment and punishment, and that there is an asymmetry between gratitude/reward and resentment/punishment. The classical Nash equilibrium is shown to have no predictive power for that model, and the Gibbs equilibrium must be used to predict phenomena outlined in Humanomics. | | Vernon L. Smith used these techniques to model sociability in economics. There, a model correctly predicts that agents are averse to resentment and punishment, and that there is an asymmetry between gratitude/reward and resentment/punishment. The classical Nash equilibrium is shown to have no predictive power for that model, and the Gibbs equilibrium must be used to predict phenomena outlined in Humanomics. |
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− | 弗农 · l · 史密斯利用这些技巧为经济学中的社交性建立了模型。在这里,一个模型正确地预测了代理人厌恶怨恨和惩罚,以及感激/奖励和怨恨/惩罚之间的不对称。经典的纳什均衡点模型对这个模型没有预测能力,吉布斯平衡必须用来预测在 Humanomics 概述的现象。
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| [[Vernon L. Smith]] used these techniques to model sociability in economics.<ref name = "CaSm"> | | [[Vernon L. Smith]] used these techniques to model sociability in economics.<ref name = "CaSm"> |
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| {{cite journal|author1 = Michael J. Campbell | author2 = [[Vernon L. Smith]] | title = An elementary humanomics approach to boundedly rational quadratic models | journal = Physica A |year=2020| volume = 562 | page = 125309 |doi=10.1016/j.physa.2020.125309| url =https://www.researchgate.net/publication/343657559}}</ref> There, a model correctly predicts that agents are averse to resentment and punishment, and that there is an asymmetry between gratitude/reward and resentment/punishment. The classical Nash equilibrium is shown to have ''no'' predictive power for that model, and the Gibbs equilibrium must be used to predict phenomena outlined in ''Humanomics''.<ref name = "SmWi">{{cite book|author = [[Vernon L. Smith]] and [[Bart J. Wilson]]|date=2019|title=Humanomics: Moral Sentiments and the Wealth of Nations for the Twenty-First Century|url=https://www.cambridge.org/core/books/humanomics/1B4064A206BD99DB36E794B53ADF8BB4|doi = 10.1017/9781108185561|publisher=Cambridge University Press|isbn=9781108185561}}</ref> | | {{cite journal|author1 = Michael J. Campbell | author2 = [[Vernon L. Smith]] | title = An elementary humanomics approach to boundedly rational quadratic models | journal = Physica A |year=2020| volume = 562 | page = 125309 |doi=10.1016/j.physa.2020.125309| url =https://www.researchgate.net/publication/343657559}}</ref> There, a model correctly predicts that agents are averse to resentment and punishment, and that there is an asymmetry between gratitude/reward and resentment/punishment. The classical Nash equilibrium is shown to have ''no'' predictive power for that model, and the Gibbs equilibrium must be used to predict phenomena outlined in ''Humanomics''.<ref name = "SmWi">{{cite book|author = [[Vernon L. Smith]] and [[Bart J. Wilson]]|date=2019|title=Humanomics: Moral Sentiments and the Wealth of Nations for the Twenty-First Century|url=https://www.cambridge.org/core/books/humanomics/1B4064A206BD99DB36E794B53ADF8BB4|doi = 10.1017/9781108185561|publisher=Cambridge University Press|isbn=9781108185561}}</ref> |
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| + | 弗农 · l · 史密斯利用这些技巧为经济学中的社交性建立了模型。在这里,一个模型正确地预测了代理人厌恶怨恨和惩罚,以及感激/奖励和怨恨/惩罚之间的不对称。经典的纳什均衡点模型对这个模型没有预测能力,吉布斯平衡必须用来预测在 Humanomics 概述的现象。 |
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| + | Quantifiers derived from [[information theory]] were used in several papers by econophysicist [http://www.aureliofernandez.net/ Aurelio F. Bariviera] and coauthors in order to assess the degree in the informational efficiency of stock markets.<ref>{{cite journal |author=Zunino, L., Bariviera, A.F., Guercio, M.B., Martinez, L.B. and Rosso, O.A.|title=On the efficiency of sovereign bond markets |journal=Physica A: Statistical Mechanics and Its Applications|volume= 391|pages= 4342–4349|year=2012 |doi=10.1016/j.physa.2012.04.009 | issue = 18|bibcode = 2012PhyA..391.4342Z |url=http://ri.conicet.gov.ar/bitstream/11336/59368/11/CONICET_Digital_Nro.2499931a-041e-4174-8911-3017a0595f19_J.pdf|hdl=11336/59368 |s2cid=122129979 }}</ref> |
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| Quantifiers derived from information theory were used in several papers by econophysicist [http://www.aureliofernandez.net/ Aurelio F. Bariviera] and coauthors in order to assess the degree in the informational efficiency of stock markets. | | Quantifiers derived from information theory were used in several papers by econophysicist [http://www.aureliofernandez.net/ Aurelio F. Bariviera] and coauthors in order to assess the degree in the informational efficiency of stock markets. |
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− | Quantifiers derived from [[information theory]] were used in several papers by econophysicist [http://www.aureliofernandez.net/ Aurelio F. Bariviera] and coauthors in order to assess the degree in the informational efficiency of stock markets.<ref>{{cite journal |author=Zunino, L., Bariviera, A.F., Guercio, M.B., Martinez, L.B. and Rosso, O.A.|title=On the efficiency of sovereign bond markets |journal=Physica A: Statistical Mechanics and Its Applications|volume= 391|pages= 4342–4349|year=2012 |doi=10.1016/j.physa.2012.04.009 | issue = 18|bibcode = 2012PhyA..391.4342Z |url=http://ri.conicet.gov.ar/bitstream/11336/59368/11/CONICET_Digital_Nro.2499931a-041e-4174-8911-3017a0595f19_J.pdf|hdl=11336/59368 |s2cid=122129979 }}</ref>
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| Zunino et al. use an innovative statistical tool in the financial literature: the complexity-entropy causality plane. This Cartesian representation establish an efficiency ranking of different markets and distinguish different bond market dynamics. Moreover, the authors conclude that the classification derived from the complexity-entropy causality plane is consistent with the qualifications assigned by major rating companies to the sovereign instruments. A similar study developed by Bariviera et al. explore the relationship between credit ratings and informational efficiency of a sample of corporate bonds of US oil and energy companies using also the complexity–entropy causality plane. They find that this classification agrees with the credit ratings assigned by Moody's. | | Zunino et al. use an innovative statistical tool in the financial literature: the complexity-entropy causality plane. This Cartesian representation establish an efficiency ranking of different markets and distinguish different bond market dynamics. Moreover, the authors conclude that the classification derived from the complexity-entropy causality plane is consistent with the qualifications assigned by major rating companies to the sovereign instruments. A similar study developed by Bariviera et al. explore the relationship between credit ratings and informational efficiency of a sample of corporate bonds of US oil and energy companies using also the complexity–entropy causality plane. They find that this classification agrees with the credit ratings assigned by Moody's. |