The effects of firms’ information environment on analysts’ herding behavior

We find financial analysts herd to a greater degree in firms with more opaque information environments as measured by the incidence of short-term institutional investors present. The S-statistic, a measure of forecast bias, and forecast timing and quality metrics are used to measure analyst herding behavior. The results are consistent with the notion that opaque information environments are more conducive to analysts engaging in reputational herding behavior where more capable analysts act first and less capable analysts follow. Additionally, analysts are more likely to issue forecast revisions subsequent to management earnings guidance in less opaque environments. Robustness tests indicate our operational measure of opacity is not subsumed by other measures of the information environment, namely information asymmetry.     

Herding in analyst earnings forecasts: evidence from the United Kingdom

We present an empirical analysis of herding behavior in analyst forecasts of earnings-per-share. Herding is defined as 'excessive agreement' among analyst predictions, i.e., a surprising degree of consensus relative to the predictability of corporate earnings. The data are for U.K. companies between 1986 and 1997. We examine the effects of forecast horizon and analyst coverage on forecast accuracy and dispersion. The evidence supports overoptimism, overreaction, and herding in analyst forecasts.
G1, G14     

Housing Starts in Canada, Japan, and the United States: Do Forecasters Herd?

Recent price trends in housing markets may reflect herding of market participants. A natural question is whether such herding, to the extent that it occurred, reflects herding in forecasts of professional forecasters. Using survey data for Canada, Japan, and the United States, we did not find evidence of forecaster herding. On the contrary, forecasters anti-herd and, thereby, tend to intentionally scatter their forecasts around the consensus forecast. The extent of anti-herding seems to vary over time. For Canada and the United States, we found that more pronounced anti-herding leads to lower forecast accuracy.     

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 behaviour in the Australian loan market and its impact on bank loan quality

We examine the effect of herding behaviour on the credit quality of bank loans in Australia. We find that bank herding varies with different types of loans. It tends to be more prevalent in owner‐occupied housing loans and credit cards than other types of loans. During the global financial crisis period, herding in owner‐occupied housing loans was most pronounced due to the flight‐to‐quality phenomenon in the housing sector. Furthermore, we find that the big four banks tend to herd more than smaller and regional banks. Bank herding behaviour is countercyclical, as it is negatively related to real GDP growth and the cost of funding but is positively related to market risk. Regulatory capital requirements may also encourage herding as banks are required to hold less risk‐weighted capital for residential loans. Most importantly, bank herding is related to higher impaired assets and therefore lower loan quality. Our findings may have implications for policymakers and bank regulators.     

Deconstructing Herding: Evidence from Pension Fund Investment Behavior

In this paper, we examine herding across asset classes and industry levels. We also study what incentives managers at various layers of the financial industry face when investing. To do so, we use unique and detailed monthly portfolios between 1996 and 2005 from pension funds in Chile, a pioneer in pension-fund reform. The results show that pension funds herd more in assets that have more risk and for which pension funds have less market information. Furthermore, the results show that herding is more prevalent for funds that narrowly compete with each other, namely, when comparing funds of the same type across pension fund administrators (PFAs). There is much less herding across PFAs as a whole and in individual pension funds within PFAs. These herding patterns are consistent with incentives for managers to be close to industry benchmarks, and might be also driven by market forces and partly by regulation.     

Does a scopic regime produce conformism? Herding behavior among trade leaders on social trading platforms

Social trading platforms (STPs) are transparent online markets governed by a scopic regime, where order flow is publicly disclosed and participants are subject to constant reciprocal scrutiny. Participants on STPs can be categorized into trade leaders and copiers, where the former execute unique trades and manage the funds allocated to them by the latter in return for compensation. Given limited individual capacity and the competition to attract copiers, we investigate whether the scopic regime produces excess and perpetual conformism among trade leaders. Using data from a popular STP, and from an anonymous traditional foreign exchange broker, we show that the scopic regime produces excess levels of herding. Under the scopic environment, we find that herding is high when market information is scarce, which is evidence of herding due to informational cascades. We find herding to be relatively low among risk-seeking trade leaders, which may be a sign of overconfidence. Herding is high for larger trades, suggesting that traders herd to avoid the disappointment associated with underperforming on large positions. Finally, we show that herding in the scopic environment persists at much higher levels compared to traditional environments. Our findings indicate that exposure to a scopic information-rich environment augments the limitations and personal biases of individual traders, thus producing excess and perpetual herding.     

Risk perception in financial markets: On the flip side

We propose an alternative approach to capture the asymmetric risk-return relationship in financial markets using affective cognitive analysis. Implied volatility is employed as a robust gauge of risk perception. Markets exhibit a dramatic increase in fear sentiment when extreme upper-quantile losses hit investors while conditional positive returns fuel exuberance. However, an inverse response is observed in Asian markets due to normative societal phenomena, such as herding. A cognitive paradigm provides with a better interpretation of contagion than classical leverage-feedback theories as risk perception evolves dynamically over time. Overall, the fear of losses is not the flip side of gains' exuberance.     

What do professional forecasters' stock market expectations tell us about herding,information extraction and beauty contests?

We study how professional forecasters form equity market expectations based on a new micro-level dataset which includes rich cross-sectional information about individual characteristics. We focus on testing whether agents rely on the beliefs of others, i.e., consensus expectations, when forming their own forecast. We find strong evidence that the average of all forecasters' beliefs influences an individual's own forecast. This effect is stronger for young and less experienced forecasters as well as forecasters whose pay depends more on performance relative to a benchmark. Further tests indicate that neither information extraction to incorporate dispersed private information, nor herding for reputational reasons can fully explain these results, leaving Keynes' beauty contest argument as a potential candidate for explaining forecaster behavior.     

Firm specific and macro herding by professional and amateur investors and their effects on market volatility

We find a herding tendency among both amateur and professional investors and conclude that the propensity to herd is lower in the professionals. These results are obtained both when we consider herding into individual stocks and herding into stocks in general. Herding depends on the firm’s systematic risk and size, and the professionals are less sensitive to these variables. The differences between the amateurs and the professionals may be attributable to the latter’s superior financial training. Most of the results are consistent with the theory that herding is information-based. We also find that the herding behavior of the two groups is a persistent phenomenon, and that it is positively and significantly correlated with stock market returns’ volatility. Finally, herding, mainly by amateurs, causes market volatility in the Granger causality sense.     

Systematic noise

We analyze trading records for 66,465 households at a large discount broker and 665,533 investors at a large retail broker to document that the trading of individuals is highly correlated and persistent. This systematic trading of individual investors is not primarily driven by passive reactions to institutional herding, by systematic changes in risk-aversion, or by taxes. Psychological biases likely contribute to the correlated trading of individuals. These biases lead investors to systematically buy stocks with strong recent performance, to refrain from selling stocks held for a loss, and to be net buyers of stocks with unusually high trading volume.     

The Response of Dynamic Herd Behavior to Domestic and U.S. Market Factors: Evidence from the Greater China Stock Markets

ABSTRACT

We investigate the dynamic reaction of stock market herding in China, Hong Kong, and Taiwan to unexpected shocks from domestic and U.S. market factors. In China and Taiwan, herding is more pronounced, and the investors tend to herd with the rising stock market returns. Overconfident investors will herd on the subsequent trading days under market stress. Compared with the response to the domestic market factors, the responses of herding in the Greater China stock market to the U.S. market factors are weaker. After the 2007–8 financial crisis, the U.S. market factors highly explain the forecast error variance of herding in the Shanghai A-share and Taiwan markets.     

Harmful events and misconducts in financial organizations: Human biases and root causes

We conduct a large scope field investigation of 19 major incidents in 19 large European insurance and banking institutions, based on 116 post-event interviews with managers and top executives over a two-year period. We demonstrate the power of the Root Cause Analysis (RCA) method for detecting human biases documented by the behavioral finance, the organizational behavior and occupational psychology literatures. These biases constitute key operational risk factors these organizations. We find that organizational biases (such as a breach of psychological contract) take center stage as root causes of incidents in these organizations. We also find that banks are more exposed to emotional biases (fear and greed) and insurance companies more subjected to cognitive conservatism as root cause biases. This research has direct implications regarding how banks and insurance companies may cope with regulations that put a greater emphasis on measuring and controlling operational risk and specifically misconduct risk.     

中国股市羊群效应的区制转移时变性研究

传统研究采用静态CCK模型检验股票市场的羊群效应,但无法描述羊群行为的动态变化以及市场可能受到的外部影响。本文基于中国股市日频交易数据,在静态CCK模型中引入参数的区制转移性质识别股市在不同状态间的转换,并分析中国股市羊群效应和交叉羊群效应的时变特征。研究表明,中国股市运行周期可被划分为两个区制,分别呈现低波动和高波动的行情特征;羊群效应的程度随区制转移而变化,具有区制依存性。其中,沪深股市在高(低)波动区制中,羊群效应更强(弱),相应区制持续时间较短(长);中国台湾股市仅在高波动区制中出现羊群效应,相应区制持续时间较短;中国香港股市无论在低波动区制或是高波动区制中,均不存在羊群效应。此外,沪深A股在低波动区制中对美国股市和中国香港股市存在交叉羊群效应。     

Interest Rate Skewness and Biased Beliefs

Conditional skewness of Treasury yields is an important indicator of the risks to the macroeconomic outlook. Positive skewness signals upside risk to interest rates during periods of accommodative monetary policy and an upward-sloping yield curve, and vice versa. Skewness has substantial predictive power for future bond excess returns, high-frequency interest rate changes around Federal Open Market Committee announcements, and survey forecast errors for interest rates. The estimated expectational errors, or biases in beliefs, are quantitatively important for statistical bond risk premia. These findings are consistent with a heterogeneous-beliefs model in which one of the agents is wrong about consumption growth.     

Institutional ownership changes and returns around analysts’ earnings forecast release events: Evidence from Taiwan

Traditional data sources do not have institutional holding data on a daily basis. Because of this, most prior empirical studies of institutional herding have focused on quarterly or annual data. The problem, however, with using quarterly or annual data on institutional holdings is that these data may not reveal institutional herding if it occurs over a shorter time interval. For this study, we make use of data from the Taiwan Stock Exchange (TSE). Unlike traditional data sources, the TSE provides daily institutional holdings information. The use of this detailed data allows us to make more interesting analysis and inferences. In this study, we examine the relationship between institutional ownership changes and returns localized around analysts’ earnings forecast release events. Analysis of institutional ownership and return data around the earnings release event allows us to investigate institutional herding and feedback behavior in a different level. Our major results are as follows: (1) there exists a relation between company specific attributes and institutional herding, (2) observed changes in institutional ownership and contemporaneous return are mainly the results of inter-day price impact of herding, (3) institutional investors show evidence of being informed traders in buying but not selling.     

Analyst information production and the timing of annual earnings forecasts

We investigate whether the reputation-herding theory or the tradeoff theory explains variation in the timing of individual analysts’ forecasts. Using forecast accuracy improvements, forecast boldness, and the price impact of forecasts as measures of forecast quality, we find that in the information discovery phase that precedes an earnings announcement, earlier forecasts have higher quality than later forecasts. We also find a similar pattern in the information analysis phase that begins with the earnings announcement date. Our findings suggest that consistent with the herding theory, analysts who are more capable participate early in discovering and analyzing information, and therefore earlier forecasts in the information discovery and analysis phases are of higher quality than later forecasts in that phase.     

Challenges in Applying Risk Management Concepts in Practice: A Perspective

The existing concepts of risk management face challenges when applied in practice. The perception of risk depends on the observer's cognitive biases and worldview, which nuance risk‐related decisions. How an observer decides also depends on the metric used to quantify risk. While there is extensive literature on how people perceive risk, and on how to price risk in relation to the market, there is little on how to price risk according to how risks interact within the firm. The article concludes with a suggestion (and includes relevant citations) for a way forward.     

Together we invest? Individual and institutional investors' trading behaviour in Poland

This paper contributes to the debate about individual and institutional investors' trading behaviour with new evidence from the Polish stock market. While most existing studies focus on institutional investors' trading in developed markets, we test for the presence of herding during market up- and downswings on an emerging market. Our unique approach is to combine an established method relying on daily prices with institutional features of the Warsaw Stock Exchange. It enables us to separate individuals from institutions by examining two trading mechanisms with different investor structures. The empirical results suggest that individuals engage in herding during market downswings, while there is less evidence of imitating trading behaviour in bullish markets. Regardless of the state of the market, institutions' trading behaviour does not appear to exhibit herd behaviour. Further evidence suggests that herding by individuals becomes less pronounced over time.     

RISK PREMIUM EFFECTS ON IMPLIED VOLATILITY REGRESSIONS

This article provides new insights into the sources of bias of option implied volatility to forecast its physical counterpart. We argue that this bias can be attributed to volatility risk premium effects. The latter are found to depend on high‐order cumulants of the risk‐neutral density. These cumulants capture the risk‐averse behavior of investors in the stock and option markets for bearing the investment risk that is reflected in the deviations of the implied risk‐neutral distribution from the normal distribution. We show that the bias of implied volatility to forecast its corresponding physical measure can be eliminated when the implied volatility regressions are adjusted for risk premium effects. The latter are captured mainly by the third‐order risk‐neutral cumulant. We also show that a substantial reduction of higher order risk‐neutral cumulants biases to predict their corresponding physical cumulants is supported when adjustments for risk premium effects are made.