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Order-flow-based Leading Indicators of Short-term Liquidity Shortfalls 基于订单流量的短期流动性短缺领先指标
David Abad, Magdalena Massot, Samarpan Nawn, R. Pascual, José Yagüe
Which components of the overall message traffic are effective leading indicators of impending liquidity shortfalls? Using detailed message-level data that flags the orders of HFTs (high-frequency traders), agency ATs (algorithmic traders), and non-ATs, we show that, after controlling for volume and volatility, only the HFTs’ net buying pressure, computed from the inflow of both aggressive and non-aggressive orders, precedes increases in both immediacy costs and price impacts in the short run. Consistent with market making theories of active risk management, cancellations and revisions of outstanding limit orders relate to preceding efficient price returns and enhance the overall signaling capacity of the HFTs’ order flow. Market-wide indicators of the HFTs’ net buying pressure add extra power in anticipating single-stock liquidity drops.
总体消息流量的哪些组成部分是即将出现的流动性短缺的有效领先指标?使用标记高频交易者(高频交易者)、代理ATs(算法交易者)和非ATs的订单的详细消息级数据,我们表明,在控制了交易量和波动性之后,只有高频交易者的净买入压力(根据激进和非激进订单的流入计算)在短期内先于即时成本和价格影响的增加。与主动风险管理的做市理论一致,取消和修改未完成的限价订单与之前有效的价格回报有关,并增强高频交易者订单流的整体信号能力。高频交易者净买入压力的市场指标为预测单一股票流动性下降提供了额外的动力。
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引用次数: 1
Information, Market Power and Welfare 信息、市场力量和福利
Youcheng Lou, Rohit Rahi
We study a financial market in which agents with interdependent values bid for a risky asset. Some agents are privately informed of their own value for the asset while others seek to infer it from the equilibrium price. Due to adverse selection, uninformed agents are less willing than the informed to provide liquidity, and engage in greater bid shading when prices are more informative. While increased participation by informed agents leads to perfect competition in the limit, the market remains illiquid to some degree even with free entry of uninformed traders. The incentive to produce information is increasing in market size and is maximal in a perfectly competitive economy. Price informativeness, on the other hand, is independent of market size. Curtailing information production by one group can reduce adverse selection, and improve liquidity and welfare for all agents.
我们研究了一个金融市场,在这个市场中,具有相互依赖价值的代理人竞标一项风险资产。一些代理人私下知道他们自己对资产的价值,而另一些代理人则试图从均衡价格中推断出资产的价值。由于逆向选择,不知情的代理人比知情的代理人更不愿意提供流动性,并且在价格更具信息性时参与更大的投标阴影。虽然消息灵通的代理人的参与增加导致了极限下的完全竞争,但即使在不知情的交易者自由进入的情况下,市场仍在一定程度上缺乏流动性。生产信息的动机随着市场规模的增加而增加,在完全竞争经济中是最大的。另一方面,价格信息与市场规模无关。限制一个群体的信息生产可以减少逆向选择,并改善所有代理人的流动性和福利。
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引用次数: 4
An Equilibrium Model of Career Concerns, Investment Horizons, and Mutual Fund Value Added 职业关注、投资视野与共同基金增值的均衡模型
Jules H. van Binsbergen, Jungsuk Han, Hongxun Ruan, Ran Xing
We study a dynamic equilibrium model of mutual fund investing under career concerns that features investment opportunities at different horizons. Equilibrium returns are endogenously determined by competition. Short-term investment strategies can benefit fund managers by accelerating skill revelation, while the downside risk is managed by manager exit. In the steady state, a large number of new and unskilled managers exploit the value of this call option, driving down short-term excess returns. A small number of experienced and skilled managers exploit scalable long-term investment opportunities, adding substantial value. We empirically confirm our theoretical predictions using US mutual fund data.
本文研究了职业关注下不同视域投资机会的共同基金投资动态均衡模型。均衡收益是由竞争内生决定的。短期投资策略通过加速基金经理的技能提升而使基金经理受益,而下行风险则通过基金经理退出来控制。在稳定状态下,大量新的和不熟练的经理利用这种看涨期权的价值,压低短期超额回报。少数经验丰富、技术娴熟的经理人利用可扩展的长期投资机会,增加可观的价值。我们用美国共同基金的数据实证地证实了我们的理论预测。
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引用次数: 1
Stock Liquidity and Algorithmic Market Making During the COVID-19 Crisis COVID-19危机期间的股票流动性和算法做市
Bidisha Chakrabarty, R. Pascual
Much of the liquidity supply in modern markets comes from algorithmic traders (ATs). Prompted by concerns of fragility induced by such voluntary market making, we examine ATs’ liquidity-provision role during the COVID-19 crisis. We find that amidst the turmoil as market liquidity declined, ATs did not (disproportionately) withdraw liquidity supply. Stocks with the highest algorithmic trading (AT) experienced lower liquidity reduction compared to stocks with the lowest AT activity. High AT stocks did not experience greater reduction in either competition for liquidity provision or price improvements than low AT stocks. Multiple tests indicate that high AT did not associate with any greater deterioration in price efficiency vis-à-vis low AT stocks. Stocks in the industries hardest hit by COVID-19 did not see any less AT competition for liquidity supply or price efficiency than stocks in the least affected ones. Overall, our results allay some concerns that the current levels of AT make markets more susceptible to liquidity withdrawal in times of crises. © 2022 Elsevier B.V.
现代市场的大部分流动性供应来自算法交易员(ATs)。出于对这种自愿做市行为引发的脆弱性的担忧,我们研究了ATs在2019冠状病毒病危机期间提供流动性的作用。我们发现,在市场流动性下降的动荡中,ATs并没有(不成比例地)撤回流动性供应。与算法交易(AT)活动最低的股票相比,算法交易(AT)活动最高的股票经历了更低的流动性减少。与低库存相比,高库存在流动性供应或价格改善方面的竞争并没有经历更大的减少。多重检验表明,与-à-vis低AT股票相比,高AT与任何更大的价格效率恶化无关。受新冠疫情影响最严重的行业的股票在流动性供应或价格效率方面的竞争并不比受影响最轻的行业的股票少。总的来说,我们的结果减轻了一些担忧,即当前的AT水平使市场在危机时期更容易受到流动性撤出的影响。©2022 Elsevier B.V.
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引用次数: 10
Financial Information and Diverging Beliefs 财务信息和分歧信念
C. Armstrong, M. Heinle, Irina Maxime Luneva
This paper theoretically and empirically shows that, when investors are uncertain about how precise is the signal they receive, their beliefs may further diverge after they receive the same piece of information. We test this prediction using trading volume around quarterly earnings announcements of public U.S. firms. Under signal-precision uncertainty, trading volume increases for intermediate levels of earnings surprise and dampens for extreme levels. Dampening is more pronounced when signal-precision uncertainty is high. We propose a novel measure of earnings-announcement-precision uncertainty and show that, first, S-shaped earnings response coefficient and, second, trading volume's dampening for extreme signals are more pronounced for high levels of earnings-announcement-precision uncertainty. Our findings might lead researchers to reconsider their widespread usage of trading volume as a simple proxy for market liquidity.
本文从理论和实证两方面表明,当投资者不确定他们接收到的信号有多精确时,他们在接收到同一条信息后,他们的信念可能会进一步分化。我们使用美国上市公司季度收益公告前后的交易量来检验这一预测。在信号精度不确定性下,中等收益意外水平下交易量增加,极端收益意外水平下交易量减少。当信号精度的不确定性较高时,衰减更为明显。我们提出了一种新的衡量盈余公告精度不确定性的方法,并表明,首先,s型盈余反应系数,其次,交易量对极端信号的抑制对于高水平的盈余公告精度不确定性更为明显。我们的发现可能会导致研究人员重新考虑他们广泛使用交易量作为市场流动性的简单代理。
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引用次数: 0
Dynamic Multivariate Learning with Generalized Information 广义信息下的动态多元学习
Praveen Kumar, James Yae
Agents are generally uncertain about multiple, and possibly time-varying, structural parameters that drive consumption and financial payoffs but learn through noisy correlated signals, such as aggregate or macroeconomic news. We find that dynamic learning of multivariate time-varying parameters with correlated signals generates endogenous long-run risks resulting in large and never-decaying equity risk premium. In general, the risk premium is driven by intertemporal co-uncertainty, that is, the dynamic covariance of posterior means, rather than uncertainty (i.e., variance of beliefs) that is highlighted in the literature. Signal correlation structure plays a crucial role in the dynamics of beliefs and asset prices and hence the determination of the equity premium. Apart from its quantitative implications, signal correlation generates non-monotone effects of information quality on the equity premium. We also present empirical evidence of the prevalence of highly correlated signals. Our general learning framework highlights the economic effects of correlated signals on Bayesian learning.
智能体通常对驱动消费和金融回报的多个(可能是时变的)结构参数不确定,但通过嘈杂的相关信号(如总量或宏观经济新闻)进行学习。我们发现多元时变参数与相关信号的动态学习产生内生的长期风险,导致股票风险溢价较大且永不衰减。一般来说,风险溢价是由跨期共不确定性驱动的,即后验均值的动态协方差,而不是文献中强调的不确定性(即信念方差)。信号相关结构在信念和资产价格的动态中起着至关重要的作用,从而决定了股票溢价。信号相关性除了具有定量意义外,还会产生信息质量对股票溢价的非单调效应。我们还提出了高度相关信号普遍存在的经验证据。我们的一般学习框架强调了相关信号对贝叶斯学习的经济影响。
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引用次数: 0
Arbitrary Bilateral Bargaining in Decentralized Markets for Lemons 柠檬分散市场中的任意双边谈判
Bruno Barsanetti, Braz Camargo
We investigate the efficiency of dynamic random matching and bilateral bargaining markets with adverse selection. We take a detail-free approach to the bargaining game, assuming only that: (a) each agent's actions are optimal given the equilibrium market conditions and the equilibrium strategy of the opposing agents; (b) bargaining reveals information about the quality of the object to the uninformed buyer, who cannot commit to acquire the object at a price that exceeds her expected reservation price conditional on such information. We characterize the equilibrium that maximizes the realized gains from trade among all decentralized equilibria. We show this equilibrium features full information revelation during bargaining. This equilibrium also realizes strictly more gains from trade than any equilibrium of trade under a price system, which we use as a benchmark for trade in centralized markets. However, as trading frictions vanish, the optimal decentralized market allocation converges to the optimal centralized market allocation.
研究了具有逆向选择的动态随机匹配和双边议价市场的效率问题。我们对议价博弈采取无细节的方法,仅假设:(a)给定均衡市场条件和对立代理的均衡策略,每个代理的行为是最优的;(b)议价向不知情的买方透露了有关物品质量的信息,买方不能承诺以超出其预期保留价的价格获得该物品。我们描述了在所有分散均衡中使贸易实现收益最大化的均衡。我们证明了这种均衡在议价过程中具有充分的信息披露特征。这种均衡从贸易中获得的收益也严格高于价格体系下的任何贸易均衡,我们将价格体系作为集中市场贸易的基准。然而,当交易摩擦消失时,分散市场的最优配置收敛于集中市场的最优配置。
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引用次数: 0
Analytic Policy Function Iteration 解析策略函数迭代
Zhao Han, Fei Tan, Jieran Wu
We propose a novel approach to solving and analyzing linear rational expectations models with general information frictions. Our approach is built upon policy function iterations in the frequency domain. We develop the theoretical framework of this approach using rational approximation, analytic continuation, and discrete Fourier transform. We provide the numerical implementation accompanied by a flexible object-oriented toolbox. We demonstrate the efficiency and accuracy of our method by studying four models in macroeconomics and finance that feature asymmetric information sets, endogenous signals, and higher-order expectations.
我们提出了一种求解和分析具有一般信息摩擦的线性理性期望模型的新方法。我们的方法是建立在频域中策略函数迭代的基础上的。我们利用有理逼近、解析延拓和离散傅里叶变换来发展这种方法的理论框架。我们提供了一个灵活的面向对象工具箱的数值实现。我们通过研究宏观经济学和金融学中的四个模型来证明我们方法的有效性和准确性,这些模型具有不对称信息集、内生信号和高阶期望。
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引用次数: 10
Equilibrium Executive Compensation 均衡高管薪酬
Gilles Chemla, A. Rivera, Liyan Shi
We examine a general equilibrium dynamic economy in which each firm i) hires a manager who can divert cash flows and ii) can fire him after poor performance, generating costs to both parties. The contract is terminated when the manager's continuation value reaches his compensation at another firm net of his termination cost. The unique competitive equilibrium features overcompensation, short-termism, and excessive executive tenure unless moral hazard is minimal. When a firm increases executive pay, it increases the cost to other firms to retain their managers, in turn forcing them to raise and front-load their compensation packages. The equilibrium contract can be implemented with inside equity relinquished upon termination. Inefficiencies decrease with the firm's discount rate and the manager's termination cost and increase with the manager's discount rate, the termination cost to the firm, and the moral hazard proxy. Optimal corporate and income tax schedules and transfer fees can generate the social planner's allocation. When moral hazard is minimal, undercompensation, excessive delay in pay, and excessive firing obtain while subsidies and firing fees restore first best.
我们研究了一个一般均衡动态经济,在这个经济中,每个公司i)雇佣一个可以转移现金流的经理,ii)在业绩不佳时解雇他,这对双方都产生了成本。当经理的继续价值达到他在另一家公司的报酬减去他的终止成本后,合同终止。这种独特的竞争均衡的特点是薪酬过高、短期主义和高管任期过长,除非道德风险降到最低。当一家公司增加高管薪酬时,它会增加其他公司留住其经理的成本,进而迫使他们提高并提前支付薪酬。均衡合同可以在终止时放弃内部股权的情况下实施。低效率随着公司的贴现率和经理的终止成本而降低,随着经理的贴现率、公司的终止成本和道德风险代理而增加。最优的公司税和所得税时间表以及转让费可以产生社会规划者的分配。当道德风险最小时,补偿不足、过度延迟支付和过度解雇会出现,而补贴和解雇费会恢复到最佳状态。
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引用次数: 0
High-Frequency Trading and Market Quality: The Case of 'Slightly Exposed' Market 高频交易与市场质量:“轻微暴露”市场案例
Cumhur Ekinci, Oguz Ersan
Impacts of high-frequency trading (HFT) on market quality and various actors have been broadly studied. However, what happens when HFT is not a prominent figure in a market remains relatively unexplored. The paper seeks to answer this question focusing on 30 blue chip stocks in an emerging market, Borsa Istanbul, through Dec 2015 to Mar 2017. Despite a low share in the overall activity, HFT has observable effects: liquidity provision by non-HFT traders significantly reduces with HFT; HFT activity on the sell side induces higher volatility; and HFT generates profits on both positive and negative return days. These findings raise concerns regarding HFT and show potential externalities are not specific to the markets with HFT dominance.
高频交易(HFT)对市场质量和各种参与者的影响已被广泛研究。然而,当高频交易在市场中不是一个突出的角色时,会发生什么,仍然相对未被探索。本文试图回答这个问题,重点关注2015年12月至2017年3月新兴市场伊斯坦布尔证券交易所(Borsa Istanbul)的30只蓝筹股。尽管高频交易在整体活动中所占的份额较低,但它具有可观察到的影响:非高频交易交易者提供的流动性显著减少;卖方的高频交易活动导致更高的波动性;高频交易在正回报日和负回报日都能产生利润。这些发现引起了人们对高频交易的关注,并表明潜在的外部性并不局限于高频交易占主导地位的市场。
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引用次数: 3
期刊
ERN: Other Microeconomics: General Equilibrium & Disequilibrium Models of Financial Markets (Topic)
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