中国股市政策市中的正反馈交易机制

中国股市是政策市,但我国政策市的政策效率低下,国家宏观政策与预期效果相差甚远,股市上非理性投资者对政策反应的情绪作用被放大,从而导致了宏观政策出台后,股市的更加不稳定。     

Beyond implicit prices: recovering theoretically consistent and transferable values for noise avoidance from a hedonic property price model

Using a two-stage hedonic pricing methodology we estimate a system of structural demand equations for different sources of transport-related noise. In the first stage, we identify market segments using model-based clustering techniques and estimate separate hedonic price functions (HPFs) for each segment. In so doing, we show how a semiparametric spatial smoothing estimator outperforms other standard specifications of the HPF. In the second stage, we control for non-linearity of the budget constraint and identify demand relationships using techniques that account for problems of endogeneity and censoring of the dependent variable. Our estimated demand functions provide welfare estimates for peace and quiet that we believe to be the first derived from property market data in a theoretically consistent manner.      

Non-Laplacian beliefs in a global game with noisy signaling

In standard global games, individual behavior is optimal if it constitutes a best response to agnostic—Laplacian—beliefs about the aggregate behavior of other agents. This paper considers a standard binary action global game augmented with noisy signaling by an informed policy-maker and shows that in this game, equilibrium beliefs depart in quite stark ways from the Laplacian benchmark. In the limit as signals become arbitrarily precise, so that all fundamental uncertainty is removed (leaving only strategic uncertainty), the equilibrium beliefs of the marginal individual concerning the aggregate action collapse to a discrete Bernoulli distribution, giving probability mass only to the polar extreme outcomes. By contrast in the underlying standard global game the marginal individual believes the aggregate action has a continuous uniform distribution, giving equal likelihood to all possible outcomes.     

中国股市噪音成分的表现及原因

本文根据噪音交易理论描述了噪音的本质,并描述了中国股票市场上噪音的各种表现,包括引起投资者构成以中小投资者为主,以及用EGARCH模型来描述收益率波动受"利好"和"利空"冲击的不对称性。进而,从信息不对称以及投资者行为偏误的角度,对噪音产生以及能够在中国股市长期存在的的原因进行了论述。     

Noise trading, transaction costs, and the relationship of stock returns and trading volume

This article constructs an economic model of a rational trader who operates in a market with transaction costs and noise trading. The level of trading affects the rational trader's marginal cost of transacting; as a result, trading volume (through its effect on marginal cost) is a source of risk. This engenders an equilibrium relationship between returns and volume. The model also provides a simple way to scrutinize this relationship empirically. Empirical evidence supports the implications of the model.     

数字式平均在激光脉冲回波弱信号检测中的应用

提出了利用数字式平均的方法实现激光脉冲回波弱信号检测。详细分析了数字式平均的原理和实现方法,利用Matlab的Simulink交互式仿真集成环境设计了仿真模型,利用仿真模型和信号还原系统分析了数字式平均的次数和信噪比善比之间的关系。实验表明,该方法能有效地改善激光脉冲回波弱信号的信噪比。     

Noise fit,estimation error and a Sharpe information criterion

When the in-sample Sharpe ratio is obtained by optimizing over a k-dimensional parameter space, it is a biased estimator for what can be expected on unseen data (out-of-sample). We derive (1) an unbiased estimator adjusting for both sources of bias: noise fit and estimation error. We then show (2) how to use the adjusted Sharpe ratio as model selection criterion analogously to the Akaike Information Criterion (AIC). Selecting a model with the highest adjusted Sharpe ratio selects the model with the highest estimated out-of-sample Sharpe ratio in the same way as selection by AIC does for the log-likelihood as a measure of fit.     

Noise traders and smart money: Evidence from online searches

Traditional finance theory considers that the impact of noise traders' attention on asset prices is offset by attention from smart investors. This paper uses online search data to study the influence of noise traders and smart investors on stock returns and volatility. Adopting an original approach, we construct a proxy for smart investor attention based on investors' online search behavior provided by Wikipedia Page Traffic. We combine this new measure with a standard measure of noise traders' attention as proxied by Google Search Volume Index. We show for a sample of 87 French firms over the period 2008–2018 that only noise traders' attention influences stock returns. Noise traders' attention increases volatility by creating an extra risk that is priced into the market. Conversely, smart investors' attention decreases volatility because their presence stabilizes stock prices by reducing uncertainty. Our empirical results support a behavioral explanation of stock prices.     

Noise trading and autocorrelation interactions in the foreign exchange market: Evidence from developed and emerging economies

This paper seeks to empirically determine whether feedback trading strategies result in stabilization or destabilization in the foreign exchange market and if such strategies are a distinctive characteristic of an emerging economy or they are a common element to both developed and emerging economies. These hypotheses are tested via the use of a feedback model augmented with a generalized autoregressive conditional heteroskedasticity (GARCH) process for modeling the errors. The results suggest presence of both positive and negative feedback trading and asymmetric behavior in both types of economies. Irrespective of the nature of feedback trading, presence of asymmetric behavior implies that market traders rely on central banks to intervene so they can realize short-term profits. Finally, in cases of a positive first-order autoregressive parameter presence of the bandwagon effect is implied, whereby past currency movements are followed by expectations of currency movements in the same direction.

证券发行管制与噪声交易者的生存与繁荣

本文结合中国股票市场实际,分析了证券发行管制对噪声交易的影响。本文的结论是:(1)证券发行管制保护了噪声交易者利益,削弱了一级市场发行方的套利力量,创造了噪声交易者的生存空间,推动了噪声交易者对价值投资人的驱逐和同化,使噪声交易者主导市场;(2)改善投资人结构和增加大盘兰筹股是实现中国股市“发展、规范与市场承受能力高度统一”、以及股票价格向价值平稳回归的重要条件。