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.     

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.     

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.     

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.     

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.     

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.     

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.     

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]].     

Purchasing power parity for G-7 countries: panel SURADF tests

In this study, the panel Seemingly Unrelated Regressions Augmented Dickey–Fuller (SURADF) tests advanced by Breuer et al. (2001 Breuer, J. B., McNown, R. and Wallace, M. S. 2001. Misleading inferences from panel unit-root tests with an illustration from purchasing power parity. Review of International Economics, 9: 482–93. [Crossref] , [Google Scholar]) are used to test the validity of Purchasing Power Parity (PPP) for G-7 countries over the period 1980M1 to 2008M5. The empirical results from several panel-based unit root tests indicate that PPP does not hold for G-7 countries under study; however, Breuer et al.'s (2001 Breuer, J. B., McNown, R. and Wallace, M. S. 2001. Misleading inferences from panel unit-root tests with an illustration from purchasing power parity. Review of International Economics, 9: 482–93. [Crossref] , [Google Scholar]) panel SURADF tests unequivocally indicate that PPP is valid for half of the G-7 countries.     

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.     

Underground Economy,Evasion and Inequality

Economic theory is paying increasing attention to a non-observed economy (NOE) and its causes. Recently, a couple of works (Rosser et al., 2000 Rosser, J. B., Rosser, M. V. and Ahmed, E. 2000. Income inequality and the informal economy in transitions economies. Journal of Comparative Economics, 28(1): 156–171.  [Google Scholar], 2003 Rosser, J. B., Rosser, M. V. and Ahmed, E. 2003. Multiple unofficial economy equilibria and income distribution dynamics in systemic transition. Journal of Post Keynesian Economics, 25(3): 425–447. [Web of Science ®] , [Google Scholar]) have claimed that there is a positive relationship between income inequality and the size of NOE. This supposed relationship is not so clear and deserves in-depth analysis. There is a crucial aspect that has been completely avoided in these studies: income inequality is mainly measured using ‘regular’ incomes and this fact could lead to some bias. The existence of a certain size of NOE implies some income evasion that can affect the inequality indexes used in the study of the relationship between NOE and inequality. Including the regional share of NOE in a wage equation, I find that, in the specific case of the Italian private sector employees, the income evasion attached to NOE tends to reduce inequality measured by regular wages statistics.     

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.     

Herding by Foreign Institutional Investors: An Evidential Exploration for Persistence and Predictability

The primary objective of the study is to explore the predictability of herding patterns of foreign institutional investors in the Indian market using high frequency data over a period from January 2003 to June 2014. Herding of an individual stock was measured estimating a simple volume based ratio and persistence of trends was detected using the runs test (Wald and Wolfowitz [1940 Wald, A., and J. Wolfowitz. “On a Test Whether Two Samples are from the Same Population.” The Annals of Mathematical Statistics, 11, (1940), pp. 147–162.[Crossref] , [Google Scholar]]) on that ratio. Predictability of herding behavior has been successfully modeled by applying 7 data mining models using various measures of performance. Market regulators may consider our findings to regulate the foreign institutional investors trading to make the financial system more transparent and robust.     

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]).     

Explaining the Delayed Effect of Monetary Policy: The Role of Inventories and Factor-hoarding

This paper proposes a new model accounting for the delayed effect of monetary policy shocks on output. The key feature of the model is to distinguish a variety of margins (i.e., inventory adjustments, hours per worker, efforts and employments) on which firms adjust output in response to macroeconomic shock. When these multiple margins are properly introduced to an otherwise standard modern monetary business cycles model, the interplay between inventory adjustments and the one-period lag in adjusting employment can produce the hump-shaped response of output to monetary shock. Given the weak evidence on habit formation at household level found in Dynan (2000) Dynan, K. (2000). Habit formation in consumer preferences: evidence from panel data. American Economic Review, 90 (3), 391–406. doi: 10.1257/aer.90.3.391[Crossref], [Web of Science ®] , [Google Scholar] and Flavin and Nakagawa (2008) Flavin, M., &; Nakagawa, S. (2008). A model of housing in the presence of adjustment costs: a structural interpretation of habit persistence. American Economic Review, 98, 474–495. doi: 10.1257/aer.98.1.474[Crossref], [Web of Science ®] , [Google Scholar], therefore, this paper provides an alternative explanation for the delayed effect of monetary policy without relying on the habit formation.     

The Interest Rate Brake on Maturity Transformation

Must banks match asset and liability maturities, as William Barnett and Walter E. Block (2009 Barnett, William and Walter E. Block. “Time Deposits, Dimensions and Fraud.” Journal of Business Ethics 88, 4 (2009): 711–716.[Crossref], [Web of Science ®] , [Google Scholar], 2011 Barnett, William and Walter E. Block. “Rejoinder to Bagus and Howden on Borrowing Short and Lending Long.” Journal of Business Ethics 100, 2 (2011): 229–238.[Crossref], [Web of Science ®] , [Google Scholar]), as well as Ivan Jankovic (2011) Jankovic, Ivan. “Economic Calculation, Maturity Mismatching and the Credit Cycle.” New Perspectives on Political Economy 7, 1 (2011): 105–124. [Google Scholar], surmise? While we agree with these authors that issuances of fiduciary media breed financial instability, we disagree that maturity transformation represents such a case. Maturity transformation — otherwise known as borrowing short-term and lending long-term — guided by several base legal principles, does not result in the issuance of fiduciary media. Most notable among these principles is that any credit issued must be funded by borrowing of a positive duration, i.e., not via a demand deposit. We demonstrate that two factors instigate larger degrees of maturity transformation than would otherwise be the case, breeding potential instability: a continual increase in the credit supply and the provision of a lender of last resort. We also show that the interest rate is a natural stabilizing brake on the over-issuance of longer-dated credit against short-term financing.     

Rethinking liquidity creation: Banks,shadow banks and the elasticity of finance

In this article, the authors use the concept of the hierarchy of money found in the works of Minsky (2008 Minsky, H. [1986]2008. Stabilizing an Unstable Economy. New Haven, CT: Yale University Press. [Google Scholar][1986]), Foley (1987 Foley, D. 1987. “Money in Economic Activity.” In The New Palgrave: Money, edited by J. Eatwell, M. Milgate, and P. Newman, 519–525. New York, NY: W.W. Norton.[Crossref] , [Google Scholar]), Wray (1990 Wray, L. R. 1990. Money and Credit in Capitalist Economies: The Endogenous Money Approach. Aldershot, UK: Edward Elgar. [Google Scholar]), and Bell (2001 Bell, S. 2001. “The Role of the State and the Hierarchy of Money.” Cambridge Journal of Economics 25 (2):149–63.[Crossref], [Web of Science ®] , [Google Scholar]) to analyze the process of liquidity creation in modern capitalist economies where shadow banks play an active role. They abandon the narrow focus on banks as the creators of money as well as the idea that nonbank financial institutions are mere intermediaries between savers and borrowers. Instead, the authors demonstrate that, similar to banks, nonbank financial institutions and foreign banks (through their cross-border activities) create liquidity endogenously by leveraging over the liabilities of entities hierarchically above them. The authors further elucidate Kregel’s concept of “fictitious” liquidity in the context of the hierarchy of financial liabilities, distinguishing it from “true” liquidity. By bringing shadow banks and the euro-currency markets into to the pyramid of financial liabilities, they develop a more complete framework of liquidity creation in modern capitalist economies. Their “extended” pyramid is useful for analyzing not only the fragility that may arise from the interactions between firms, households and banks, but also that which may originate through the interactions between banks, shadow banks and foreign banks.     

Globalization and the effects of changes in functional income distribution on aggregate demand in Germany

Germany has experienced a period of extreme nominal and real wage moderation since the mid‐1990s. Contrary to the expectations of liberal economists, this has failed to improve Germany’s mediocre economic performance. However, Germany is now running substantial current account surpluses. One possible explanation for Germany’s disappointing performance is found in Kaleckian theory, which highlights that the domestic demand effect of a decline in the wage share will typically be contractionary, whereas net exports will increase (Blecker 1989 Blecker, R. 1989. International competition, income distribution and economic growth. Cambridge Journal of Economics, 13: 395–412. [Web of Science ®] [Google Scholar]). The size of the foreign demand effect will critically depend on the degree of openness of the economy. This paper aims at estimating empirically the demand side of a Bhaduri and Marglin (1990 Bhaduri, A. and Marglin, S. 1990. Unemployment and the real wage: The economic basis for contesting political ideologies. Cambridge Journal of Economics, 14: 375–93. [Crossref], [Web of Science ®] [Google Scholar]) type model for Germany. The paper builds on the estimation strategy of Stockhammer, Onaran, and Ederer (2009 Stockhammer, E., Onaran, Ö. and Ederer, S. 2009. Functional income distribution and aggregate demand in the Euro area. Cambridge Journal of Economics, 33(1): 139–59. [Crossref], [Web of Science ®] [Google Scholar]) and Hein and Vogel (2008 Hein, E. and Vogel, L. 2008. Distribution and growth reconsidered – empirical results for six OECD countries. Cambridge Journal of Economics, 32: 479–511. [Crossref], [Web of Science ®] [Google Scholar], 2009 Hein, E. and Vogel, L. 2009. Distribution and growth in France and Germany – single equation estimations and model simulations based on the Bhaduri/Marglin‐model. Review of Political Economy, 21(2): 245–72. [Taylor & Francis Online] [Google Scholar]). The main contribution lies in a careful analysis of the effects of globalization. Since Germany is a large open economy by now it is a particularly interesting case study.     

Institutions and growth: evidence from estimation methods robust to weak instruments

This article focuses on the empirical approach proposed by Hall and Jones (1999 Hall, RE and Jones, CI(HJ99). 1999. Why do some countries produce so much more output per worker than others?. The Quarterly Journal of Economics, 114: 83–116. [Crossref], [Web of Science ®] , [Google Scholar]) to estimate the effect of what they call ‘social infrastructure’ on productivity across countries. We consider the issue of weak identification in their linear instrumental variables model. The evidence obtained from partially robust estimators, such as the k-class and jackknife estimators, is interpreted on the basis of Monte Carlo studies. Our findings suggest that using certain k-class estimators allows exclusive reliance on the linguistic variables to instrument for institutional quality despite their low correlation with the endogenous regressor in question.     

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.