What Explains Herd Behavior in the Chinese Stock Market?

This article examines the causes of herd behavior in the Chinese stock market. Using the nonlinear model of Chang, Cheng, and Khorana [2000 Chang, E. C., J. W. Cheng, and A. Khorana. “An Examination of Herd Behavior in Equity Markets: An International Perspective.” Journal of Banking and Finance, 24, (2000), pp. 1651–1679.[Crossref], [Web of Science ®] , [Google Scholar]], the authors of this article find robust evidence of herding in both the up and down markets. They contribute to the existing literature by exploring the underlying reasons for herding in China. It is shown that analyst recommendation, short-term investor horizon, and risk are the principal causes of herding. However, the authors cannot find evidence that relates herding to firm size, nor can they detect significant differences in herding between state-owned enterprises and non–state-owned enterprises.     

Anchoring-Adjusted Capital Asset Pricing Model

What happens when the capital asset pricing model is adjusted for the anchoring and adjustment heuristic of Tversky and Kahneman [1974 Tversky, A., and D. Kahneman. “Judgment Under Uncertainty: Heuristics and Biases.” Science, 185, (1974), pp. 1124–1131.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]]? The surprising finding is that adjusting the capital asset pricing model for anchoring provides a plausible unified framework for understanding almost all of the key asset pricing anomalies. The anomalies captured in the theoretical framework include the well-known size and value effects, high alpha of low beta stocks, accruals, low volatility anomaly, momentum effect, stock splits, and reverse stock splits. The market equity premium is also larger with anchoring. This suggests that the anchoring-adjusted capital asset pricing model may provide the needed unifying structure to behavioral finance.     

Herding Behavior in CEE Stock Markets Under Asymmetric Conditions: A Quantile Regression Analysis

This article investigates herding behavior in ten Central and East European (CEE) stock markets by using daily data on stock prices for 384 companies from January 2, 2003, to December 31, 2013. Our study is based on the methodology developed by Chang, Cheng, and Khorana [2000 Chang, Eric, Joseph Cheng, and Ajay Khorana. “An Examination of Herd Behavior in Equity Markets: An International Perspective.” Journal of Banking and Finance, 24, (2000), pp. 1651–1679.[Crossref], [Web of Science ®] , [Google Scholar]], adapted to detect herding behavior under different market conditions. The authors use quantile regression analysis as an estimation method and find evidence of herding behavior in all CEE countries, except for Poland and Romania. When the market is up and the trading volume increases, investors become enthusiastic and optimistic, neglecting their own information and following each other in buying transactions. Conversely, when the market declines, driven by panic and fear, investors follow the market consensus and engage in overselling transactions.     

Impatience and Inconsistency in Intertemporal Choice: An Experimental Analysis

In this article the experiment carried out by Takahashi et al. [2009 Takahashi, T., T. Hadzibeganovic, S. A. Cannas, T. Makino, H. Fukui, and S. Kitayama. “Cultural Neuroeconomics of Intertemporal Choice.” Neuroendocrinology Letters, 30, (2009), pp. 185–191.[PubMed], [Web of Science ®] , [Google Scholar]] is replicated to analyze the influence of culture, gender, origin (urban or rural), and socioeconomic level on the impulsivity and consistency of decision-making processes concerning monetary gains and losses. The results indicate that Spanish students show inconsistency, and more impulsivity over gains (i.e., more impatience, as they discount delayed outcomes more rapidly) than do Japanese and American students. Additionally, participants from urban areas show more impatience over gains than do participants from rural ones, women are more impatient than men are over losses, and participants of different socioeconomic levels show differences in their impulsivity parameters.     

Stock Price Reaction to News: The Joint Effect of Tone and Attention on Momentum

The authors find that the market's underreaction to good news is a driver of Gutierrez and Kelly's [2008 Gutierrez, R. and E. K. Kelly. “The Long-lasting Momentum in Stock Returns.” The Journal of Finance, 63, (2008), pp. 415–447.[Crossref], [Web of Science ®] , [Google Scholar]] weekly momentum returns. By employing a dataset of 10.1 million news items in 4 regions (the U.S., Europe, Japan, and Asia Pacific), they find that stocks having important and positive news exhibit stronger return continuation. The study findings suggest that investors in international markets have similar underreaction to the same news characteristics.     

The Information Environment,Informed Trading,and Volatility

The relation between informed trading and volatility is analyzed using the change in the proportion of informed transactions calculated through the probability of informed trading variable. The analysis relates to the Spanish market during 1997–2010, given that the Spanish market covers a very diverse range of listed companies. Some companies are comparable to companies listed on U.S. markets while others are smaller in size and have a lower trading volume and inferior quality of information. The methodology is based on a modification of the model proposed by Avramov, Chordia, and Goyal [2006 Avramov, D., T. Chordia, and A. Goyal. “The Impact of Trades on Daily Volatility.” Review of Financial Studies, 19, (2006), pp. 1241–1277.[Crossref], [Web of Science ®] , [Google Scholar]]. The authors’ proposal incorporates the change in the proportion of informed transactions, calculated with intraday data, into the volatility model. The results are also presented using a conditional volatility model in which the change in the proportion of informed transactions is incorporated. These results attest to the influence of informed trading as a price-stabilizing factor in heavily traded and highly capitalized stocks (familiar stocks). Informed trading leads to a marked decrease in volatility for these particular stocks both in periods of calm and crisis.     

The J-Curve phenomenon in European transition economies: A nonlinear ARDL approach

This article examines the J-curve phenomenon for 16 European transition economies. While previous studies assume a linear relationship between the exchange rate and the trade balance, this paper allows for nonlinearity. Following Bahmani-Oskooee and Fariditavana (2015 Bahmani-Oskooee, M., and H. Fariditavana. 2015. “Nonlinear ARDL Approach, Asymmetric Effects and the J-curve.” Journal of Economic Studies 42 (3): 519–530. doi:10.1108/JES-03-2015-0042.[Crossref], [Web of Science ®] , [Google Scholar], 2016 Bahmani-Oskooee, M., and H. Fariditavana. 2016. “Nonlinear ARDL Approach and the J-curve Phenomenon.” Open Economies Review 27 (1): 51–70. doi:10.1007/s11079-015-9369-5.[Crossref], [Web of Science ®] , [Google Scholar]), the empirical method used is the nonlinear cointegrating autoregressive distributed lag (NARDL) model of Shin et al. (2013 Shin, Y., B. Yu, and M. J. Greenwood-Nimmo. 2013. “Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework.” In Festschrift in Honor of Peter Schmidt, edited by William C. Horrace and Robin C. Sickles. New York, NY: Springer Science and Business Media. [Google Scholar]) in which short-run and long-run nonlinearities are introduced via positive (appreciation) and negative (depreciation) partial sum decompositions of the real exchange rate. We argue that the lack of support for the J-curve phenomenon could be due to the linearity assumption. This issue is examined by utilizing the linear and the NARDL models. Using the linear autoregressive distributed lag (ARDL) model, we are unable to find support for the J-curve phenomenon in any case. However, when the NARDL model is used, we are able to find evidence for the J-curve in 12 out of the 16 countries. This suggests that allowing for nonlinearity in the adjustment process is important when studying the J-curve phenomenon.     

Investor Attention and Global Stock Returns

The author constructs a direct measure of investor attention toward global benchmark indices using Google search volume and empirically examines its impact on stock returns. The author documents a significant decrease in index returns following an increase in investor attention. This result is consistent with the investor recognition hypothesis (Merton [1987 Merton, R. “A Simple Model of Capital Market Equilibrium with Incomplete Information.” Journal of Finance, 42, (1987), pp. 483–510.[Crossref], [Web of Science ®] , [Google Scholar]]) and the finding of no-media premium in the United States (Fang and Peress [2009 Fang, L., and J. Peress. “Media Coverage and the Cross-section of Stock Returns.” Journal of Finance 64, (2009), pp. 2023–2052.[Crossref], [Web of Science ®] , [Google Scholar]]). Additional tests suggest that the attention effect may be attributable to local and U.S. investors. Finally, such negative effect of attention is found to be strengthened (weaken) in the market with positive (negative) sentiments.     

Multiple product qualities in monopoly: Sailing the RMS Titanic into the economics classroom

In this pedagogical contribution the authors extend the traditional three-class tariff employed in the French passenger railway system with the more resonant story of the service quality variations associated with the three passenger classes of the ill-fated RMS Titanic. In doing so, they provide economics instructors with an opportunity to integrate the well-known motion picture Titanic (Cameron and Landau 1997 Cameron, J., and J. Landau. 1997. Titanic. Los Angeles: 20th Century Fox, Paramount Pictures, and Lightstorm Entertainment. [Google Scholar]) into the teaching of economics. This article provides instructors with resources that can be used to link historical and modern travel examples of price discrimination in order for students to reach a “deeper understanding of course concepts” (Salemi 2002 Salemi, M. K. 2002. An illustrated case for active learning. Southern Economic Journal 68 (3): 721–31.[Crossref], [Web of Science ®] , [Google Scholar], 725).     

Behavioral Timing,Valuation and Postissue Performance of UK Initial Public Offerings

Using a sample of 1,926 UK initial public offerings (IPOs) launched from 1987 to 2007, this study introduces a new angle on testing the behavioral timing hypothesis in the context of UK IPOs via investigating relationships between the magnitude of IPOs misvaluation and postissue stock price and operating performance. IPO misvaluation is measured using (i) an intrinsic value of the firm estimated using residual income valuation model and (ii) intensity of IPO issuance activity. The findings show that stock price and operating underperformance in the postissue are directly linked to the degree of IPOs' misvaluation. Specifically, the stock price and operating performance are found to be significantly and robustly different between hot markets IPOs and cold market IPOs 3 years postissue. We also show that overvalued IPOs have lower long-run stock returns, but outperforming operating performance, than undervalued IPOs do. Our findings are broadly consistent with the behavioral explanations of the poor stock price and operating performance, supporting the U.S. results of Purnanandam and Swaminathan [2004 Purnanandam, A. and B. Swaminathan. “Are IPOs Really Underpriced?” Review of Financial Studies, 17, (2004), pp. 811–848.[Crossref], [Web of Science ®] , [Google Scholar]] and Loughran and Ritter [2000 Loughran, T. and J. Ritter. “Uniformly Least Powerful Tests of Market Efficiency.” Journal of Financial Economics, 55, (2000), pp. 361–389.[Crossref], [Web of Science ®] , [Google Scholar]].     

Ownership herding and informational herding

This article takes as its point of departure the herding model of Bikhchandani et al. (1992 Bikhchandani, S., Hirshleifer, D. and Welch, I. 1992. A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy, 100: 992–1026. [Crossref], [Web of Science ®] , [Google Scholar]). We extend earlier experimental evidence to distinguish between informational herding, as in the model, and ownership herding, an alternative explanation for observed behaviour.     

Within-groups wage inequality and schooling: further evidence for Portugal

This article provides further evidence on the positive impact of schooling on within-groups wage dispersion in Portugal, using data on male workers from the 2001 wave of the European Community Household Panel. The issue of schooling endogeneity is taken into account by using the latest available instrumental-variable technique for quantile regression, i.e. the control-function estimator due to Lee (2007 Lee, S. 2007. Endogeneity in quantile regresssion models: a control function approach. Journal of Econometrics, 141: 1131–58. [Crossref], [Web of Science ®] , [Google Scholar]). The findings are compared with earlier results based on different techniques, i.e. the instrumental-variable estimator due to Arias et al. (2001 Arias, O, Hallock, KF and Sosa-Escudero, W. 2001. Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data. Empirical Economics, 26: 7–40. [Crossref] , [Google Scholar]) and the standard exogeneity-based estimator due to Koenker and Bassett (1978 Koenker, R and Bassett, G. 1978. Regression quantiles. Econometrica, 46: 33–50. [Crossref], [Web of Science ®] , [Google Scholar]).     

The persistence of Taiwan's output fluctuations: an empirical study using innovation regime-switching model

In this article we examine the persistence nature of Taiwan's aggregate output fluctuations by using the ‘innovation regime-switching’ (IRS) model in which the effect of an innovation may be permanent or transitory, depending on an unobservable state variable that follows a first order Markov chain. By applying the IRS model to Taiwan's real GDP data, we find that during the 1961 to 2000 period 61% (39%) of the real output shocks are likely to have permanent (transitory) effects. Moreover, the innovations in the officially identified expansion (contraction) are more likely to have a permanent (transitory) effect. These results are similar to those found in many studies of US real output fluctuations, e.g. Beaudry and Koop (1993 Beaudry, P and Koop, G. 1993. Do recessions permanently change output?. Journal of Monetary Economics, 31: 149–63. [Crossref], [Web of Science ®] , [Google Scholar]), Kim and Nelson (1999 Kim, C-J and Nelson, CR. 1999. Friedman's plucking model of business fluctuations: tests and estimates of permanent and transitory components. Journal of Money, Credit and Banking, 31: 317–34.  [Google Scholar]) and Kuan et al. (2005 Kuan, C-M, Huang, Y-L and Tsay, RS. 2005. An unobserved component model with switching permanent and transitory innovations. Journal of Business and Economic Statistics, 23: 443–54. [Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]). However, we also find that Taiwan's output dynamics have changed drastically ever since year 2000. In particular, the shocks to real GDP have become more likely to have only transitory effect, even during the period of post-2001:IV expansion.     

Economic class and the distribution of income: a time-series analysis of the UK economy, 1955–2010

This paper contributes to our understanding of the determinants and dynamics of surplus-value using quarterly UK data, 1955–2010, and the Johansen (1988 Johansen, S. 1988. Statistical analysis of cointegrated vectors. Journal of Economic Dynamic and Control, 12: 231–54. [Crossref], [Web of Science ®] , [Google Scholar], 1991 Johansen, S. 1991. Estimation and hypothesis of cointegration vectors in Gaussian vector autoregressive models. Econometrica, 59: 1551–80. [Crossref], [Web of Science ®] , [Google Scholar]) cointegration and vector error correction model (VECM). A model is introduced to define this Marxian concept, before we explain distribution, paying attention to three forces that are traditionally seen as drivers of power in this struggle: (i) working class militancy; (ii) the size of the ‘reserve army’ of the unemployed; and (iii) political party. Our results demonstrate the ongoing relevance of Marxian economics in providing an alternative, robust and significant explanation of distribution in the post-war UK economy.     

Value Functions for Prospect Theory Investors: An Empirical Evaluation for U.S. Style Portfolios

The main aim of this article is to provide a general behavioral analysis that proposes a series of different value functions for prospect theory (PT) investors incorporated into behavioral reward-risk models that are finally solved so as to provide some specific optimal solutions. To do this, general behavioral reward-risk models, which contain all the basic elements of the PT, are first set up. Two reward and risk measures, the upper partial moment and the lower partial moment, are subsequently used to create the various value functions. The technical difficulties arising during the behavioral maximization process are overpassed by adapting the Rubinstein [1982 Rubinstein, R. Y. “Generating Random Vectors Uniformly Distributed Inside and On the Surface of Different Regions.” European Journal of Operational Research, 10, (1982), pp. 205–209.[Crossref], [Web of Science ®] , [Google Scholar]] algorithm. The results show that agents differentiate their behavior according to their type of preferences (S-shaped, reverse S-shaped, kinked convex, and kinked concave value function) but they seem to always prefer small capitalization and high positively skewed value stock portfolios. Probability distortion also affects the optimal solutions of the problem, independently of the employing weighting functional form; when subjective probabilities are employed the optimal weights of the most risky positively skewed assets seem to increase. Probability distortion has an additional important effect on optimal perspective values of the problem driving to a significant increase.     

Two Sides of the Same Coin: Re-examining Nepotism and Discrimination in a Segmented Society

Abstract

We report the results from a series of trust games designed to distinguish racial discrimination from racial nepotism, played with a sample of high school students in Cape Town, South Africa. In contrast to the original work in this regard by Fershtman et al. (2005 Fershtman, C., Gneezy, U. and Verboven, F. 2005. “Discrimination and Nepotism: the efficiency of the anonymity rule,”. Journal of Legal Studies, 34: 371–396. [Crossref], [Web of Science ®] , [Google Scholar]), we find considerably greater heterogeneity in the way that proposers respond to the revealed racial identity of their partner, with nepotism being a dominant behavior. However, while some proposers exhibit a nepotistic bias in their offers that favors in-group members on average, others exhibit a nepotistic strategy that favors out-group members. A consequence of this nepotism is that both efficiency and equity are reduced on average.     

Nonlinearity in real exchange rates: an approach with disaggregated data and a new linearity test

Employing disaggregated real exchange rates from nine European counties in 16 goods categories, we assess in this study the nonlinearity in the real exchange rates. Surprisingly, we find evidence for nonlinearity in only four (10) out of 143 series with the linearity test proposed by Harvey et al. (2008 Harvey, D. I., Leybourne, S. J. and Xiao, B. 2008. A powerful test for linearity when the order of integration is unknown. Studies in Nonlinear Dynamics and Econometrics, 12 Art 8[Web of Science ®] , [Google Scholar]) at the 5% (10%) significance level. This result differs greatly from those of Juvenal and Taylor (2008 Juvenal, L. and Taylor, M. P. 2008. Threshold adjustment of deviations from the law of one price. Studies in Nonlinear Dynamics and Econometrics, 12 Art 8[Web of Science ®] , [Google Scholar]), Imbs et al. (2003 Imbs, J., Mumtaz, H., Raven, M. O. and Rey, H. 2003. Nonlinearities and real exchange rate dynamics. Journal of the European Economic Association, 1: 639–49. [Crossref] , [Google Scholar]), Sarno et al. (2004 Sarno, L., Taylor, M. P. and Chowdhury, I. 2004. Nonlinear dynamics in deviations from the law of one price: a broad-based empirical study. Journal of International Money and Finance, 23: 1–25. [Crossref], [Web of Science ®] , [Google Scholar]) and Berka (2009 Berka, M. 2009. “Non-linear adjustment in law of one price deviations and physical characteristic of good”. In Review of International Economics Vol. 17, 51–73.  [Google Scholar]), who report ample evidence for nonlinearity for the same or similarly disaggregated real exchange rate datasets.     

Linear and nonlinear Granger-causality between short-term and long-term interest rates during business cycles

This paper is about the causal relationship between short-term and long-term interest rates in the US and Canada. To that end, we apply a linear Granger causality test introduced by Toda and Yamamoto (1995 Toda, H. Y., and T. Yamamoto. 1995. “Statistical Inference in Vector Autoregressions with Possibly Integrated Processes.” Journal of Econometrics 66 (1–2): 225–250. doi:10.1016/0304-4076(94)01616-8.[Crossref], [Web of Science ®] , [Google Scholar]) and the nonlinear Granger causality test of Diks and Panchenko (2006 Diks, C., and V. Panchenko. 2006. “A New Statistic and Practical Guidelines for Nonparametric Granger Causality Testing.” Journal of Economic Dynamics and Control 30 (9–10): 1647–1669. doi:10.1016/j.jedc.2005.08.008.[Crossref], [Web of Science ®] , [Google Scholar]). By combining linear causality effects with the nonlinear ones, it is seen that the most common Granger causality direction between short-term and long-term interest rates is a bidirectional one. We also find that nonlinear Granger causality can be found where no linear causality had been uncovered. Moreover, our findings show that during recent business cycles, the federal funds rate (in the US) and the overnight rate (in Canada) still Granger-cause long-term interest rates significantly.     

Hidden links in the warranted rate of growth: the supermultiplier way out

Post Keynesian models consider growth to be demand-led – a logical consequence of Keynes's principle of effective demand. After Harrod's seminal paper in 1939 Harrod, R. F. 1939. An essay in dynamic theory. Economic journal, 49, 14–33.[Crossref], [Web of Science ®] , [Google Scholar] they try to unearth the hidden variables that might allow the adaptation of the warranted rate, determined from the supply side, to demand-growth expectations that supposedly have an autonomous source. The purpose of this paper is to show that an investment function based on the accelerator and integrated in a supermultiplier is able to shape the warranted rate in consonance with the autonomous trend. The supermultiplier reveals itself as a stable and stabilising mechanism when demand is split into permanent and transient. Hopefully the paper will build bridges with other Keynesian, Kaleckian and Sraffian strands that have so far dismissed the supermultiplier solution because of its apparently inherent instability.     

Nonlinear Mean Reversion across National Stock Markets: Evidence from Emerging Asian Markets

This paper seeks empirical evidence of nonlinear mean-reversion in relative national stock price indices for Emerging Asian countries. It is well known that conventional linear unit root tests suffer from low power against the stationary nonlinear alternative. Implementing the nonlinear unit root tests proposed by Kapetanios et al. (2003 Kapetanios, G., Shin, Y. and Snell, A. 2003. Testing for a unit root in the nonlinear STAR framework. Journal of Econometrics, 112: 359–379. [Crossref], [Web of Science ®] , [Google Scholar]) and Cerrato et al. (2009 Cerrato, M., de Peretti, C., Larsson, R. and Sarantis, N. 2009. “A nonlinear panel unit root test under cross section dependence”. Working Papers 28, Department of Economics, University of Glasgow [Google Scholar]) for the relative stock prices of Emerging Asian markets, we find strong evidence of nonlinear mean reversion, whereas linear tests fail to reject the unit root null for most cases. We also report some evidence that stock markets in China and Taiwan are highly localized.