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ICES: Small: New and Better Markets via Automated Market Making

ICES: Small: New and Better Markets via Automated Market Making
ICES:小型:通过自动化做市创造新的、更好的市场
批准号:
1101668
负责人:
Tuomas Sandholm
金额:
$32.43万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-05-01 至 2014-04-30

项目摘要

项目成果

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中文摘要
翻译
自动做市商是在市场内提供流动性的算法代理。它们提供了一种创造市场的工具--用于贸易、风险对冲、投机或信息聚合--否则这些市场可能不会存在。该项目适用于二元支付市场:预测市场、天气保险、体育博彩、重要期权市场、信用违约互换等。对自动化做市商的研究将使新类型的市场成为可能:组合市场、具有连续事件空间的市场和决策市场(委托人使用市场来决定行动方案)。该项目还将研究如何更好地促进现有市场的贸易。PI计划在一个新的框架内培养更好的流动性敏感型做市商。他还计划研究做市商比事件可能性更高的情况,并测试做市商对不平衡敞口风险的敏感度有多高--即使有完美的前科。最后,PI计划利用广泛交易的期权合约的数据来测试一系列做市商。这将验证预测市场以外的方法。在常规预测市场中,自动做市带来的流动性增加改善了预测;在组合市场中,它使市场得以实现。预测市场最受欢迎的用途之一是企业内部市场。更好的预测市场意味着公司将表现得更好。预测市场可以是匿名的,使那些在传统审议过程中可能是局外人的人在决策过程中拥有相当大的权重,只要他们拥有高质量的洞察力。这项研究可能适用的市场一直到世界上最大的市场。因此,即使是这项研究的微小改进也可以带来巨大的经济效益。更好的做市增加了流动性,因此,由于更好的分配,系统中的社会福利增加了。研究的重点是使市场机制更好,而不是让任何一个交易者的策略更好;因此,收益将在市场参与者中广泛分配。用自动化的做市商取代人工做市商还有其他好处:速度更快,没有人为错误,避免故意的不当行为。拟议的工作将提高采纳者的竞争力;第一批采用者可能会在美国,特别是产生美国的竞争力。
英文摘要
Automated market makers are algorithmic agents that provide liquidity within markets. They provide a vehicle to create markets - for trade, risk hedging, speculation, or information aggregation - that might not otherwise exist. This project applies to binary-payout markets: prediction markets, weather insurance, sports betting, important options markets, credit default swaps, etc. Research on automated market makers will enable new kinds of markets: combinatorial markets, markets with continuous event spaces, and decision markets (where a principal uses a market to decide on a course of action). The project will also study how to better facilitate trade in existing markets. The PI plans to develop better liquidity-sensitive market makers in a novel framework. He also plans to study settings in which the market maker has a good prior over event likelihoods and to test how sensitive a market maker - even with a perfect prior - should be to unbalanced exposure risk. Finally, the PI plans to test a range of market makers on data from widely-traded options contracts. This will validate the approach beyond prediction markets.In regular prediction markets, the increased liquidity from automated market making improves predictions; in combinatorial ones, it enables the market. One of the most popular uses of prediction markets is internal markets for corporations. Better prediction markets mean that companies will perform better. Prediction markets can be anonymous, enabling people who may be outsiders in traditional deliberative processes to have considerable weight in decision making, as long as they have quality insights.The markets to which the research potentially applies range all the way to the world's largest markets. Even small improvements from this research can thus have vast economic benefits. Better market making increases liquidity, so the social welfare in the system increases due to better allocations. The research focuses on making the market mechanisms better rather than making any one trader's strategy better; thus the benefits will be distributed broadly among market participants. Replacing human market makers with automated ones also has other advantages: higher speed, no human errors, and avoidance of intentional misbehavior. The proposed work will increase the adopters' competitiveness; the first adopters will likely be US based, yielding US competitiveness in particular.
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