Herding Behavior among Residential Developers

The Journal of Real Estate Finance and Economics - We investigate whether US real estate developers display herding in their building permit seeking behavior. We measure herding over the period...     

Herding,momentum and investor over-reaction

In this paper we study the impact of noise or quality of prices on returns. The noise arises from herding by market participants beyond what is justified by information. We construct a firm-quarter-specific measure of speculative intensity (SPEC) based on autocorrelation in daily trading volume adjusted for the amount of information available, and find that speculative intensity has a significant positive impact on returns. Both cross-sectional and time series variation in SPEC are consistent with conventional wisdom, and with implications of theories of herding as in DeLong et al. (1990, J Political Econ 98(4):703–738). We find that high-SPEC firms drive the returns to momentum trading strategies and that investor over-reaction is significant only in the case of high-SPEC firms.

Overbuilding,real estate lending decisions,and the regional economic base

The primary purpose of this paper is to evaluate the causes of overbuilding in the context of economic base theory. A second and closely related purpose is to determine if the economic base multiplier effect is stronger in the long run. Construction decisions depend on the strength of the local economy. Since basic activity is highly cyclical, if there are significant lags in the multiplier process running from basic to nonbasic sectors, then growth in non-basic employment will continue when the basic sector slows or declines. Hence, overbuilding may be, in part, a result of false signals about future growth in the local economy to builders, developers and lenders at the time a project is conceived. In addition, one of the important sources of the lags in the multiplier process is the construction sector. Potential solutions to overbuilding are discussed in an economic base context. The implications for bank regulation, bank lending and feasibility analysis are discussed.     

Institutional Herding

Institutional investors' demand for a security this quarteris positively correlated with their demand for the securitylast quarter. We attribute this to institutional investors followingeach other into and out of the same securities ("herding") andinstitutional investors following their own lag trades. Althoughinstitutional investors are "momentum" traders, little of theirherding results from momentum trading. Moreover, institutionaldemand is more strongly related to lag institutional demandthan lag returns. Results are most consistent with the hypothesisthat institutions herd as a result of inferring informationfrom each other's trades.     

Herding and market volatility

In this paper, we explore the impact of investor herding behavior on stock market volatility. We adopt a direct herding measure based on the variation of cross-sectional stock betas. The measure can be readily separated into positive and adverse components, whereby investors herd towards and away from the market portfolio, respectively. Using A-shares listed in the Chinese equity market from August 2005 to March 2021, we show that the market volatility is Granger caused by the measure, and that there exists an asymmetric effect between positive and adverse herding on volatility. Furthermore, we provide robust evidence that the information contained in the herding measure helps generate significantly improved volatility forecasts and add economic value to investors. Our paper not only contributes to the volatility forecasting literature but also advances our understanding of herding in the equity market.     

Herding and information based trading

This paper expands on the existing literature on information asymmetry by testing if herding exists. We test herd behavior in a transparent and order-driven market using intraday data. We propose (1) a modification in the herding measure, (2) that investors tend to herd more based on fundamental analysis relative to technical analysis, and (3) that informational asymmetry can be identified by applying the informational cascade model to herding. In general, our analyses agree with the existing literature that herding tends to be more prevalent with small stocks and in economic downturns and that investors are more likely to herd when selling rather than buying stocks. Most importantly, our results reveal the existence of informational cascades, which highlights the crucial role played by so-called fashion leaders, especially when more informed investors trade with “noise”.     

Information Contagion and Bank Herding

We show that the likelihood of information contagion induces profit-maximizing bank owners to herd with other banks. When bank loan returns have a common systematic factor, the cost of borrowing for a bank increases when there is adverse news on other banks since such news conveys adverse information about the common factor. The increase in a bank's cost of borrowing relative to the situation of good news about other banks is greater when bank loan returns have less commonality (in addition to the systematic risk factor). Hence, banks herd and undertake correlated investments so as to minimize the impact of such information contagion on the expected cost of borrowing. Competitive effects such as superior margins from lending in different industries mitigate herding incentives.     

Reputation,Information, and Herding in Credit Ratings: Evidence from CMBS

The Journal of Real Estate Finance and Economics - We find strong evidence of herding behavior among credit rating agencies (CRAs) in the CMBS market. CRAs are more likely to change their rating if...     

Herding in foreign direct investment

This paper, to our knowledge, is the first to examine herding in foreign direct investment (FDI). We investigate it from two perspectives, first the number of countries investing in the host country and then the dollar volumes of those investments. Our results provide strong evidence of herding in FDI. We also show herding in the divestures of these investors. We show that herding in FDI is related to host country characteristics and governance parameters.     

Herding behavior in asset markets

This paper examines the origins of herding behavior in asset markets and its potential to produce a price bubble. I present a model which explains the emergence and the development of herding behavior via asymmetric information and Baysian learning. A corresponding price bubble is explained through herding behavior without assuming any speculative incentives on the part of the investors.     

有限关注与股市异常特征、羊群效应

针对以往研究的局限性,立足有限关注,将其置于股市异常特征和羊群效应的研究框架中,全面考察它们之间的多维联动关系;通过媒体和投资者双重有限关注视角,基于不同层面的信息,从收益率与波动两个方面构建三个层次之间的信息传导关系模型,测度三者联动关系的强度、规模及其在不同场景下的异化现象。研究表明:媒体报道数量和情绪都会引起投资者心理的变化,行情关注度更容易导致估值错位,投资者不理性的跟风行为是市场震荡的重要原因,指数负回报能引起投资者的极大关注。同时,投资者倾向于将注意力分配到全市场的信息层面而不是特定公司信息层面;投资者公司层面关注度的变动与羊群效应联系密切,股市下降时羊群行为产生的影响强于股市上升时的状况。     

External Triggered Herding bei Rentenmarkt-Analysten

Ohne Zusammenfassung     

Herding behaviour and volatility clustering in financial markets

We propose a financial market model in which speculators follow a linear mix of technical and fundamental trading rules to determine their orders. Volatility clustering arises in our model due to speculators’ herding behaviour. In case of heightened uncertainty, speculators observe other speculators’ actions more closely. Since speculators’ trading behaviour then becomes less heterogeneous, the market maker faces a less balanced excess demand and consequently adjusts prices more strongly. Estimating our model using the method of simulated moments reveals that it is able to explain a number of stylized facts of financial markets quite well. Various robustness checks with respect to the model setup reveal that our results are quite stable.     

Herding among Investment Newsletters: Theory and Evidence

A model is developed which implies that if an analyst has high reputation or low ability, or if there is strong public information that is inconsistent with the analyst's private information, she is likely to herd. Herding is also common when informative private signals are positively correlated across analysts. The model is tested using data from analysts who publish investment newsletters. Consistent with the model's implications, the empirical results indicate that a newsletter analyst is likely to herd on Value Line's recommendation if her reputation is high, if her ability is low, or if signal correlation is high.     

Institutional Herding in the ADR Market

This study examines institutional herding in the ADR market between 1985 and 1998. We find a significant positive relation between changes in institutional ownership and ADR returns over the same period. The positive relation persists after we control for the momentum effect in the US stock markets. We also find that in the ADR market, past winners (losers) in the herding period continue to be the winners (losers) in the post-herding period. The lack of a returns reversal suggests institutional herding is related to momentum trading. However, the positive relation between institutional ownership changes and ADR returns remains after controlling for momentum trading in the ADR market. Our results also rule out that positive feedback trading is related to institutional herding in the ADR market.     

Financial Analyst Characteristics and Herding Behavior in Forecasting

This study classifies analysts' earnings forecasts as herding or bold and finds that (1) boldness likelihood increases with the analyst's prior accuracy, brokerage size, and experience and declines with the number of industries the analyst follows, consistent with theory linking boldness with career concerns and ability; (2) bold forecasts are more accurate than herding forecasts; and (3) herding forecast revisions are more strongly associated with analysts' earnings forecast errors (actual earnings—forecast) than are bold forecast revisions. Thus, bold forecasts incorporate analysts' private information more completely and provide more relevant information to investors than herding forecasts.     

Herding of Corporate Directors in Taiwan

Corporate directors can be said to herd when they sit together on not only one, but several company boards. Such herding is commonly called "multiple interlock" in the literature. This study analyzes the factors involved in director herding using a binary logistics regression model. Statistical analysis indicates that directors who control a large amount of effective assets in the corporate world, own a high percentage of equity in a company, or hold an inside management position are more likely to be involved in multiple firm interlocks. In other words, controlling shareholders and their associates are the main individuals involved in such interlocks. Finally, company financial performance is negatively related to multiple interlocks.     

Herding and Feedback Trading by Institutional and Individual Investors

We document strong positive correlation between changes in institutional ownership and returns measured over the same period. The result suggests that either institutional investors positive-feedback trade more than individual investors or institutional herding impacts prices more than herding by individual investors. We find evidence that both factors play a role in explaining the relation. We find no evidence, however, of return mean-reversion in the year following large changes in institutional ownership—stocks institutional investors purchase subsequently outperform those they sell. Moreover, institutional herding is positively correlated with lag returns and appears to be related to stock return momentum.     

Herding in the German Mutual Fund Industry

This paper analyses the trading activity of German mutual funds in the 1998–2002 period to investigate whether German mutual fund managers are engaged in herding behaviour. Another objective of the study is to determine the impact of this herd‐like trading on stock prices. Our results provide evidence of herding and positive feedback trading by German mutual fund managers. We show that a significant portion of herding detected in the German market is associated with spurious herding as a consequence of changes in benchmark index composition. Investigating the impact of mutual fund herding on stock prices, we find that herding seems to neither destabilise nor stabilise stock prices.     

The Strategic Exercise of Options: Development Cascades and Overbuilding in Real Estate Markets

This article develops an equilibrium framework for strategic option exercise games. I focus on a particular example: the timing of real estate development. An analysis of the equilibrium exercise policies of developers provides insights into the forces that shape market behavior. The model isolates the factors that make some markets prone to bursts of concentrated development. The model also provides an explanation for why some markets may experience building booms in the face of declining demand and property values. While such behavior is often regarded as irrational overbuilding, the model provides a rational foundation for such exercise patterns.