Information asymmetry,cluster trading,and market efficiency: Evidence from the Chinese stock market

This study investigates the effect of asymmetry information and illiquidity related to cluster trading on information integration efficiency in the Chinese stock market. The results show that information asymmetry and illiquidity related to cluster trading both negatively affect market efficiency in the Chinese stock market. While the effect of information asymmetry on market efficiency dominates in the informational period, the effect of illiquidity related to cluster trading dominates in other periods, when trading is less concentrated. Noise trading has a positive effect on market efficiency by greatly reducing the illiquidity related to cluster trading; however, its effect on information asymmetry is not significant. Our results provide insight into investors’ trading strategies.     

Political Connectedness and Firm Performance: Evidence from Germany

Abstract. This paper investigates politically connected firms in Germany. With the introduction of a new transparency law in 2007, information on additional income sources for all members of the German parliament became publicly available. We find that members of the conservative party (CDU/CSU) and the liberal party (FDP) are more likely to work for firms than members of left‐wing parties (SPD and The Left) or the green party (Alliance 90/The Greens). Politically connected firms are larger, less risky and have lower market valuations than unconnected firms. They also have fewer growth opportunities, but slightly better accounting performance. On the stock market, connected firms significantly outperformed unconnected firms in 2006, i.e. before the publication of the data on political connections. Differences in stock market performance were much smaller in 2007.     

A comparative study of hype cycles among actors within the socio-technical system: With a focus on the case study of hybrid cars

Many forms of technology cycle models have been developed and utilized to identify emergent technologies and forecast social changes, and among these, the technology hype cycle introduced by Gartner has become established as an effective method widely utilized in the field. However, if the hype cycle indeed exists in the various dimensions that constitute the socio-technical system, those who seek to analyze innovative activities using bibliometrics will be confronted with the new problem of actors' choices and the need to analyze their hype cycles. In seeking to overcome such limitations of conventional studies, this paper analyzes the hype cycles of three actors that constitute the core of the socio-technical system through the case study of the successful market entry of hybrid cars. The hype cycle of the user, the first actor, is analyzed based on the search traffic generated by their web searches, and the hype cycle of the producer or researcher, the second actor, is measured based on the data regarding patent applications. Lastly, the hype cycle of the information distributor, namely individuals constituting the market network, is analyzed by examining the exposure in news reports. The outcomes of this research showed that among the three actors, the consumers and the information distributors exhibited hype cycle patterns (bell curves) that were distinct from the market trend, and that there was a difference in time interval of around five quarters. By contrast, it was found that the hype cycle of the producers reflected a logical response, exhibiting a pattern similar to the S-curve during the market's growth period unlike the pattern found in other actors. In conclusion, this study of the particular case of hybrid cars confirmed that the two components of the hype cycle can be respectively verified using consumer search traffic and the patent applications made by the producers. If in the future, such analyses of the hype cycles of producers and consumers are expanded in application to various other industries, it will be possible to obtain more generalizable research outcomes. This is expected to contribute to determining technological life cycles or hype cycles with greater objectivity and efficacy, and furthermore to facilitate the systematic identification of promising technologies.     

Chinese Online Unemployment-Related Searches and Macroeconomic Indicators

Official monthly unemployment data is unavailable in China, while intense public interest in unemployment requires timely and accurate information. Using data on web queries from lead search engines in China, Baidu and Google, I build two indices measuring intensity of online unemployment-related searches. The unemployment-related search indices identify a structural break in the time series between October and November 2008, which corresponds to a turning point indicated by some macroeconomic indicators. The unemployment- related search indices are proven to have significant correlation with Purchasing Managers＇ Employment Indices and a set of macroeconomic indicators that are closely related to changes in unemployment in China. The results of Granger causality analysis show that the unemployment-related search indices can improve predictions of the c indicators. It suggests that unemploy- ment-related searches can potentially provide valuable, timely, and low-cost information for macroeconomic monitoring.     

Explaining foreign bank entrance in emerging markets

This paper provides a theoretical framework that can explain the empirical observation that foreign banks from industrialized countries tend to increase their involvement in emerging markets in periods of market instability. In this model, domestic banks have (through past lending operations) more soft information on their borrowers available compared to foreign banks. Foreign banks, however, have a superior screening technology that allows them to obtain more hard information about their borrowers’ investment projects. The model has an important implication: Foreign banks increase their market share when credit market conditions deteriorate. The rationale for this finding is that the comparative advantage of the domestic bank loses value in unstable credit market conditions. Thus, the advantage of having a screening technology becomes more important and allows the foreign bank to increase market share. In times of crisis hard information on projects is relatively more important than soft information on the borrower’s history.     

Informed manipulation

In asymmetric information models of financial markets, prices imperfectly reveal the private information held by traders. Informed insiders thus have an incentive not only to trade less aggressively but also to manipulate the market by trading in the wrong direction and undertaking short-term losses, thereby increasing the noise in the trading process. In this paper we show that when the market faces uncertainty about the existence of the insider in the market and when there is a large number of trading periods before all private information is revealed, long-lived informed traders will manipulate in every equilibrium.     

Individual investor’s limited attention and IPO performance

The paper models and verifies the spread and decay of investor’s attention before listing on the stock market by using the Baidu Index as a proxy for investor attention of the frequency of searches. We find that individual investor’s attention has a significant influence on the first-day IPO return. We empirically study the allocation of investor attention among several stocks and discover that the more stocks going public on the same day, the milder and more similar their performance tends to be. This paper is the first to research IPO performance and individual attention.     

Information sharing and lending market competition with switching costs and poaching

We analyze information sharing with repeated banking competition. In the presence of switching costs we find that information sharing renders poaching more profitable in future rounds of competition, since the poaching activities can be targeted towards (more) creditworthy borrowers. We find that information sharing reduces relationship benefits, and, therefore relaxes competition for initial market shares. Information sharing introduces a welfare tradeoff by promoting equilibrium profits at the expense of talented entrepreneurs whenever market power persists in credit market, whereas it is a matter of indifference without market power. Thus information sharing may induce exclusion of creditworthy borrowers from credit markets.     

Discount between H Share and A Share from the Perspective of China

The effect of strict segmentation on pricing in the context of the Chinese stock markets was investigated. As an effective complementary to domestic A share market, H share market has played an important role in attracting foreign capital flows into mainland and as an open window for foreign investors to know Chinese enterprises. However, H share has received little attention by researchers. Considered that H share market enjoys relatively more free information and has a greater and faster access to global news sources, The discount between H share and A share is mainly studied in this paper. By constructing the model and based on proposed hypotheses, the empirical test confirms information asymmetry between foreign investors and domestic investors, liquidity effects, diversification effects are significant factors in explaining discounts on H share from the cross-section data.     

Market for Information and Identity Disclosure in an Experimental Open Limit Order Book

This paper analyses the effects of pre‐trade transparency on market quality in an experimental open limit order book preceded by a market for information. The design of the trading game is akin to the system in use in an increasing number of financial markets. We find that the disclosure of traders' identities reduces the incentive to acquire information, liquidity and volatility. We also show that a positive relation exists between the proportion of traders buying information and liquidity. The results are consistent with a standard model of price formation where the number of informed traders is endogenous .     

Cognitive abilities and portfolio choice

We study the relation between cognitive abilities and stockholding using the recent Survey of Health, Ageing and Retirement in Europe (SHARE), which has detailed data on wealth and portfolio composition of individuals aged 50+ in 11 European countries and three indicators of cognitive abilities: mathematical, verbal fluency, and recall skills. We find that the propensity to invest in stocks is strongly associated with cognitive abilities, for both direct stock market participation and indirect participation through mutual funds and retirement accounts. Since the decision to invest in less information-intensive assets (such as bonds) is less strongly related to cognitive abilities, we conclude that the association between cognitive abilities and stockholding is driven by information constraints, rather than by features of preferences or psychological traits.     

Internet searches and transactions on the Dutch housing market

We use Google searches of the word ‘mortgage’ to explain monthly housing transactions in the Netherlands in the period from 2004 until 2015. Our estimates indicate that Google searches of the previous months are significantly positively associated with housing transactions in the current month. This shows evidence that Internet search data can provide information about real market behaviour.     

A study of the method using search traffic to analyze new technology adoption

Various types of indices have been developed and applied for the purpose of identifying emergent technologies and forecasting their adoption. Recently, researchers have proposed search traffic analysis as a new method for tracking changes among consumers and utilizing this information to conduct further market research. Now with the onset of big data era, various attempts are being made to analyze the immense body of information made available by hidden traces left behind by consumers. In the same vein, our present study seeks to draw attention to the analytical advantages of utilizing search traffic. In this study, we use search traffic to analyze the adoption process of a new technology, in this case the technology of hybrid cars, for the purpose of verifying the potential value of conducting adoption analysis based on search traffic and we also propose a more refined method of analysis. First, we undertook to examine the keyword unit used in the searches, in order to refine our analysis of search traffic and thereby obtain greater practical utility. This was accomplished by comparing technology searches that specified the technology name with searches that specified the brand name. For each respective case, we also performed comparative analyses examining instances in which consumers simultaneously included the representative attributes of a product in their search.Our research found that the traffic of searches that specify a product's brand name was significant for explaining sales. Therefore, in the conclusion of this paper we argue that if the unit of search is properly refined, search traffic can indeed serve as an extremely useful method for analyzing or forecasting sales volume. Notably, brand-focused search traffic exhibited a superior ability to forecast sales volume compared to macro-indicators such as GDP growth or WTI prices that had been used to forecast car demand in preceding studies. Forecasting based on search traffic was even superior to forecasts using other bibliometric indices such as patent applications or news coverage.     

THE LEAD–LAG RELATION BETWEEN THE S&P500 SPOT AND FUTURES MARKETS: AN INTRADAY-DATA ANALYSIS USING A THRESHOLD REGRESSION MODEL

In this paper we examine the lead–lag interaction between the futures and spot markets of the S&P500 using the threshold regression model on intraday data. The use of threshold variables to model the changes in the regression structure with respect to different market conditions enables us to investigate the lead–lag interaction in a data-based approach and avoid stratifying the data arbitrarily. Using the basis as the threshold variable, we find that the short-selling restrictions in the spot market reduce the effect of the spot index as the leading variable. To study the effect of market-wide information on the interaction between the spot and futures markets, we use the coefficient of determination in the regression of the S&P500 on the Morgan–Stanley Composite Index-US and the Major Market Index as the threshold variable. We find that the lead effect of the futures market over the spot market is stronger when there is more market-wide information. On the other hand, the lead effect of the cash market over the futures market is weaker when there is more market-wide information. In addition, we also use the lagged 45-min return of the spot market as the threshold variable. We find that the lead effect of the spot market is stronger in periods of directionless trading than in periods of good or bad markets.     

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.     

信息化能促进农户的市场参与吗?--来自中国苹果主产区的微观证据

在转型时期,信息化工具的引入对农户打破低水平均衡、改善信息困境、提高市场进入能力具有重要作用。文章基于比较静态分析和专业化苹果主产区微观调查数据的实证分析表明,手机和电脑这两种信息化工具的应用能够改善信息的流动性和共享程度,会对农户的销售市场选择和垂直协作参与产生正向的促进作用。此外,电脑和互联网的引入也有助于提高农户的信息可得性以及与收购商的博弈能力,进而对农产品销售价格产生积极影响。因此,进一步克服自然环境和社会经济条件的约束,提高信息化工具普及率,注重农产品生产、销售相关信息的搜集和发布等信息源建设仍是农村信息化工作的题中之意。     

The relationship banking paradox: No pain no gain versus raison d'être

Relationship banking paradox refers to the case that credit market competition may threaten relationship banking practice, but it may stimulate it as well because of differentiation. Using a mixed model of adverse selection and double moral hazard, this paper shows that for some parameter values, relationship banking arises even when the banks compete à la Bertrand, hence supporting the no pain no gain hypothesis. This is due to multilayer nature of the information asymmetry by double moral hazard where an outside bank that does not have the borrower's proprietary information is unable to exert optimal levels of effort in the continuation game.     

Art market inefficiency

Art is often used as an investment vehicle. Given the importance of market efficiency in finance, we use a large auction-based index to test whether the art market is weakly efficient. Evidence reveals that returns on artworks exhibit high positive auto-correlation. We attribute this result to price truncation resulting from unobservable reserve prices in auctions. We conclude that the art market is not efficient, mainly because price formation is opaque to outsiders who lack information on unsold artworks.     

Intraday return and volatility relationships between the Ibex 35 spot and futures markets

This paper analyses the intraday lead-lag relationships between returns and volatilities in the Ibex 35 spot and futures markets. Using hourly data, we jointly analyze the interactions between markets, estimating a bivariate error correction model with GARCH perturbations which captures stochastically the presence of an intraday U-shaped curve for both spot and futures market volatility. Our findings show a bidirectional causal relationship between market volatilities, with a positive feedback. This two-way transmission of volatility is consistent with market prices evolving according to a long-run equilibrium relationship, and shocks affecting both markets in the same direction. Our empirical results also support a unidirectional cross interaction from futures to spot market returns. This pattern suggests that the futures market leads the spot market in order to incorporate the arrival of new information.     

On the Use of the Moving Average Trading Rule to Test for Weak Form Efficiency in Capital Markets

The examination for the possible existence of predictive power in the moving average trading rule has been used extensively to test the hypothesis of weak form market efficiency in capital markets. This work focuses mainly on the study of the variation of the moving average (MA) trading rule performance as a function of the length of the longer MA. Empirical analysis of daily data from NYSE and the Athens Stock Exchange reveal high variability of the performance of the MA trading rule as a function of the MA length and on some occasions the series of successive trading rule total returns is non‐stationary. These findings have direct implications in weak form market efficiency testing. Indeed, given this high variability of the performance of the MA trading rule, by just finding out that trading rules with some specific combinations of MA lengths can or cannot beat the market, as is the case in most of the published work thus far, is not enough evidence for or against the existence of weak form market efficiency. Results also show that on average in about three out of four cases trading rule signals are false, a fact that leaves a lot of space for improved trading rule performance if trading rule signals are combined with other information (e.g. filters, or volume of trade). Finally, some evidence of enhanced trading rule performance for the shorter MA lengths was found. This enhanced performance is partly attributed to the higher probability that a trading rule signal is not a whipsaw, as well as to the larger number of days out‐of‐the‐market which are associated with shorter MA lengths.