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.     

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.     

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.     

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]).     

Will the skill-premium in the Netherlands rise in the next decades?

While the skill-premium has been rising sharply in the US and the UK for 20 years, the Dutch skill-premium decreased for much of that period and only started to rise in the early 90s. In this article, we investigate whether the Dutch skill-premium will rise in the next decades. To answer this question, we forecast the skill-premium using the Katz and Murphy (1992 Katz, L and Murphy, K. 1992. Changes in relative wages, 1963–1987: supply and demand factors. Quarterly Journal of Economics, 107: 35–78. [Crossref], [Web of Science ®] , [Google Scholar]) and the Krusell et al. (2000 Krusell, P, Ohanian, L, Ríos-Rull, J-V and Violante, G. 2000. Capital-skill complementarity and inequality: a macroeconomic analysis. Econometrica, 68: 1029–53. [Crossref], [Web of Science ®] , [Google Scholar]) models. The Katz and Murphy model (KM) explains demand shifts by skill-biased technological change in unobservable variables captured by a time trend. In contrast, the Krusell et al. model (KORV) explains demand shifts by (observable) changes in the capital stock under a capital-skill complementarity technology. The results show that while the KM model predicts that the skill-premium will have increased by 30% in 2020, based on realistic predictions of the stock of capital, the KORV model predicts that the skill-premium will remain between ?5 and +5% of its 1996 level.     

Salaried employment and earnings in Indonesia: new evidence on the selection bias

This article uses household survey data to estimate the determinants of earnings in Indonesia, a country where nonsalaried work is widespread and earnings data are available for salaried employees only. We deal with the selection bias by estimating a Full-Information Maximum Likelihood (FIML) system of equations, where selection into the labour market is modelled in a multinomial setting. We find that some estimated parameters of the earnings equation differ from a binomial selection procedure by Heckman (1979 Heckman, J. 1979. Sample selection bias as a specification error. Econometrica, 47: 153–61. [Crossref], [Web of Science ®] , [Google Scholar]), in particular for those variables with the strongest impact on the selection into the different labour-market statuses. However, the estimated returns to education are unaffected, even when we deal with the endogeneity of educational attainment following Duflo (2001 Duflo, E. 2001. Schooling and labour market consequences of school construction in Indonesia: evidence from an unusual policy experiment. American Economic Review, 91: 795–813. [Crossref], [Web of Science ®] , [Google Scholar]). Overall, our findings show that the choice of the selection rule affects the estimates of the earnings determinants in the Indonesian labour market.     

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.     

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.     

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.     

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.     

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).     

Insurance and rural welfare: what can panel data tell us?

Assessing the scope for insurance in rural communities usually requires a structural model of household behaviour under risk. One of the few empirical applications of such models is the study by Rosenzweig and Wolpin (1993 Rosenzweig, MR and Wolpin, K. 1993. Credit market constraints, consumption smoothing, and the accumulation of durable production assets in low-income countries: investment in bullocks in India. Journal of Political Economy, 101: 223–44. [Crossref], [Web of Science ®] , [Google Scholar]) who conclude that Indian farmers in the ICRISAT villages would not benefit from the introduction of formal weather insurance. In this article we investigate how models such as theirs can be estimated from panel data on production and assets. We show that if assets can take only a limited number of values the coefficients of the model cannot be estimated with reasonable precision. We also show that this can affect the conclusion that insurance would not be welfare improving.     

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.     

Consumer decision making,E-commerce and perceived risks

This article studies how adoption and usage behaviour of the Internet and online shopping, respectively influence the preference to use electronic commerce to purchase different types of products. We empirically model the preference for electronic commerce when consumers have to buy different types of products and thus face different types of risks (Cox and Rich, 1964 Cox, D and Rich, S. 1964. Perceived risk and consumer decision making-the case of telephone survey. Journal of Marketing Research, 1: 32–9. [Crossref], [Web of Science ®] , [Google Scholar]). Unlike previous research, we find that consumers who have previously shopped online, display stronger preferences to buy products on the Internet irrespective of the perceived level of product-specific risks of online shopping. This article provides an interesting and novel insight into how both adoption and usage of electronic commerce impact on the attitude and risk perception of buying less predictable (more risky) products on the Internet.     

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.     

The Kyoto Protocol,market power,and enforcement

The Kyoto Protocol aims to limit aggregate carbon emissions by participating countries to 1990 emissions levels in aggregate. It also allows for the creation of a permit market in which countries will be able to buy and sell the right to emit carbon dioxide. This paper investigates how market power, held by the countries of the former Soviet Union, and enforcement of the carbon emission limits might affect the abatement and the cost of compliance with the Kyoto Protocol. To do so, it uses a modified version of the van Egteren–Weber (1996 Van Egteren, H and Weber, M. 1996. Marketable permits, market power, and cheating. Journal of Environmental Economics and Management, 30: 161–74. [Crossref], [Web of Science ®] , [Google Scholar]) model to investigate a permit market in the presence of both market power and enforcement difficulties. It then simulates the model, finding that if meeting abatement targets is the goal, regulating the supply side of the market and convex fine schedules are the most effective tools.     

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.     

Immiserizing Growth and the Metzler Paradox in the Ricardian Model

Conditions for the occurrence of immiserizing growth and the Metzler paradox are analysed in the Ricardian model when consumers in the foreign country have Leontief preferences while consumers in the home country have Cobb-Douglas preferences. By using specific functional forms, the conditions for the occurrence of the two paradoxes are defined in terms of the exogenous parameters of the model rather than endogenous variables such as the foreign import demand elasticity in the conditions of Bhagwati (1958) Bhagwati, J. N. 1958. Immiserizing growth: a geometrical note. Review of Economic Studies, 25: 201–205. [Crossref], [Web of Science ®] , [Google Scholar] and Metzler (1949a Metzler, L. A. 1949a. Tariffs, the terms of trade and the distribution of national income. Journal of Political Economy, 57: 1–29. [Crossref], [Web of Science ®] , [Google Scholar], b Metzler, L. A. 1949b. Tariffs, international demand, and domestic prices. Journal of Political Economy, 57: 345–351. [Crossref], [Web of Science ®] , [Google Scholar]). It is shown that the simultaneous occurrence of both paradoxical results is possible for some parameter values.     

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.