Microstructure and asset pricing: An insight on African frontier stock markets

This article investigates the impact of microstructure factors on asset pricing in some African stock markets. We use data on stocks listed on the Johannesburg Stock Exchange, the “Bourse Régionale des Valeurs Mobilières,” and the Nigeria Stock Exchange, and we consider international portfolio management from 2000 to 2014. Generalized least square and fixed effect are estimation methods used to highlight the effect of microstructure variables on expected return. At the same time, panel smooth transition regression (PSTR) modeling is considered to identify the thresholds in this effect. The results show that liquidity and to a lesser extent the number of trading days are the most common significant microstructure variables for all the studied markets. However, other variables’ effects on the return are specific to the considered stock markets. Furthermore, the PSTR estimator reveals that the impact of indicated factors on asset pricing is not linear because it produces a double threshold between return and microstructure.     

Multifactor consumption based asset pricing models using the US stock market as a reference: Evidence from a panel of developed economies

This article considers a panel framework to test consumption based asset pricing models driven by a US stock market reference for a number of developed economies. Specifically, we focus on a linearized form of what might be seen as a consumption-based capital asset pricing model in a pooled cross section panel with two-way error components. The empirical findings of this multifactor model using a range of specifications indicate that there is a significant unobserved heterogeneity captured by cross-country fixed effects when consumption growth is treated as a common factor. However, the cross-sectional impact of home consumption growth can vary over the countries, where unobserved heterogeneity in the rate of risk aversion can also be addressed by random effects.     

The relation between asset growth and the cross-section of stock returns: Evidence from the Chinese stock market

This study examines the effect of firm investment on stock returns by using data on the Chinese stock market. We find that stocks with higher investment experience lower future returns and there is an obvious investment effect in the Chinese stock market. The investment effect is stronger for firms that have higher cash flows, lower debt or for state-owned firms. We further explore the relation between investment and returns over the 3 years around portfolio formation. The results show that the high investment firms earn higher returns than low investment firms before portfolio formation; however the high investment firms earn lower returns than low investment firms after portfolio formation, such evidence is supportive of investor's overreaction explanation. Additionally, the stock returns don't necessarily decrease after investment, and the stock returns don't significantly positively correlate with firm profitability or book-to-market, so the result don't support risk-based explanation. Overall, both our portfolio sort and two-stage cross-sectional regression analysis show that behavioral finance theories are better than risk-based theories in explaining the investment anomaly. Evidence from the Chinese stock market provides a useful perspective to understand the debate on the investment anomaly.     

Generalized method of moments and present value tests of the consumption-capital asset pricing model under transactions costs: evidence from the UK stock market

In this paper we test for the inclusion of the bid–ask spread in the consumption CAPM, in the UK stock market over the time period of 1980–2000. Two econometric models are used: first, Fisher’s (in J Appl Econometrics 9:S71–S94, 1994) asset pricing model is estimated by GMM. We obtain plausible values of all the structural parameters and transactions costs. We subsequently test the robustness of our results by extending the VAR approach proposed by Campbell and Shiller (in Rev Financ Stud 1:195–228, 1988). This is achieved with the inclusion of the normalised bid–ask spread as an independent variable in the pricing equation. Overall, the statistical tests are unable to reject the bid–ask spread as an independent explanatory variable in the C-CAPM. In addition, in the VAR specification we find that both the normalised and the absolute bid–ask spread is a significant predictor of the dividend to price ratio. The paper’s main conclusion is that transaction costs should be included in asset pricing models, as they possess independent explanatory power.      

Rational functions: an alternative approach to asset pricing

This paper shows that asset prices are linear polynomials of various underlying explanatory factors and asset returns being ratios of these polynomials, are rational functions that do not add linearly when averaging. Hence, average returns should be modeled based on stock prices. However, continuous returns may be treated as approximately linear across time and modeled directly. Our new Rational Function (RF) models, empirically outperform the traditional asset pricing models like the Capital Asset Pricing Model (CAPM) and the Fama–French three and five-factor models for both average and continuous returns. Moreover, the RF theory also provides a model to estimate the asset volumes. The average change in asset volumes together with average returns provide the estimates for average change in market values of assets. Thus, the RF model approach can be used to select assets that provide either highest returns for profit maximization or highest change in market values for wealth maximization for given levels of risk.     

Capital asset pricing in an overlapping generations model

This paper attempts to contribute to two rapidly growing branches in economic theory: asset pricing and “overlapping generations” models. The model is formulated and it is shown that equilibrium prices exist, and some of their properties are discussed. Then the model is applied to an asymmetric information environment to see if randomness in the number of informed agents could confuse the uninformed. Surprisingly, it could not.     

Relationships between oil price shocks and stock market: an empirical analysis from Greater China

Although a lot of empirical research has studied the relationship between changes in oil price and economic activity, it is surprising that little research has been conducted on the relationship between oil price shocks and the Greater China region (China, Hong Kong and Taiwan). Therefore, the main goal of this article is to apply detailed monthly data from 1997/7 to 2008/9 to fill this gap. Compared to the effect of US stock market returns described by Kilian (2009 Kilian, L. 2009. Not All oil price shocks are alike: Disentangling demand and supply shocks in the crude oil market. American Economic Review, 99: 1053–69. [Crossref], [Web of Science ®] , [Google Scholar]) and Kilian and Park (2009 Kilian, L. and Park, C. 2009. The impact of oil price shocks on the US stock market. International Economic Review, 50: 1267–87. [Crossref], [Web of Science ®] , [Google Scholar]), we found that the impact of oil price shocks on stock prices in Greater China has been mixed. First, the impact of oil price shocks on Taiwan's stock market is very similar to that on the US stock market. Additionally, all three shocks have had significantly positive impacts on Hong Kong's stocks, partially in contrast to the effects on the US stock market. However, in contrast to the effect in the US stock market, we found that only global oil supply shock has a significantly positive impact on China's stock returns, but global oil demand shock and the oil specific demand shock have no significant impacts. The reason for the lack of significant impacts is that the positive expectation effect of China's fast economic growth may be just offset by the negative effect of a precautionary demand-driven effect. This result is also consistent with the previous empirical findings that the segmented and integrated China stock market is mixed, and it implies that the China stock market is ‘partially integrated’ with the other stock markets and oil price shocks.     

Learning rational expectations in an asset market

Will traders in a risky asset market learn Muthian expectations when they initially lack the necessary information? If some traders learn from their observations, will market dynamics depend only on “fundamentals,” as implied by the Efficient Market Hypothesis? This paper shows that at any finite point in time the answer to these questions is “no”. The context is a constant absolute risk aversion model with two kinds of traders and asymmetric information. The market converges asymptotically to a rational expectations equilibrium where prices depend only on fundamentals and the market is efficient.     

Price manipulation in an experimental asset market

We analyze in the laboratory whether an uninformed trader is able to manipulate the price of a financial asset by comparing the results of two experimental treatments. In the benchmark treatment, 12 subjects trade a common value asset that takes either a high or a low value. Only three subjects know the actual value of the asset while the market is open for trading. The manipulation treatment is identical to the benchmark treatment apart from the fact that we introduce a computer program as an additional uninformed trader. This robot buys a fixed number of shares in the beginning of a trading period and sells them again afterwards. Our main result shows that the last contract price is significantly higher in the manipulation treatment if the asset takes a low value and that private information is very well disseminated by both markets if the value of the asset is high. Finally, even though this simple manipulation program loses money on average, it is profitable in some instances.     

Capital asset prices in an oligopolistic market

The author wishes to thank Kalyan Chatterjee, George Monahan, Martin Shubik, and a referee for helpful comments on an earlier version of this paper.     

An empirical examination of factors driving the offshore renminbi market

Following the 2010 establishment of the offshore renminbi market in Hong Kong, renminbi deposits there quickly rose above RMB 1 trillion. In this article, we examine fluctuations between the offshore value of the renminbi in Hong Kong and its onshore value in mainland China. The size of the spot market spread appears to be influenced by stock market sentiment as reflected in the spread between A-shares listed in Shanghai and H-shares listed in Hong Kong. There is also some evidence of a link between the spread and the pace of renminbi deposit growth in Hong Kong.     

Population age structure and asset returns: an empirical investigation

"This paper investigates the association between population age structure, particularly the share of the population in the 'prime saving years' 45-60, and the returns on stocks and bonds. The paper is motivated by the claim that the aging of the 'Baby Boom' cohort in the United States is a key factor in explaining the recent rise in asset values. It also addresses the associated claim that asset prices will decline when this large cohort reaches retirement age and begins to reduce its asset holdings. This paper begins by considering household age-asset accumulation profiles. Data from the Survey of Consumer Finances suggest that while cross-sectional age-wealth profiles peak for households in their early 60s, cohort data on the asset ownership of the same households show a much less pronounced peak.... The paper then considers the historical relationship between demographic structure and real returns on Treasury bills, long-term government bonds, and corporate stock. The results do not suggest any robust relationship between demographic structure and asset returns.... The paper concludes by discussing factors such as international capital flows and forward-looking behavior on the part of market participants that could weaken the relationship between age structure and asset returns in a single nation."     

An empirical investigation of herding in the U.S. stock market

This paper proposes a new empirical testing method for detecting herding in stock markets. The traditional regression approach is extended to a vector autoregressive framework, in which the predictive power of squared index returns for the cross-sectional dispersion of equity returns is tested using a Granger causality test. Macroeconomic news announcements and the aggregate number of firm-level news items are treated as conditioning variables, while the average sentiment of firm-level news is treated as jointly determined. The testing algorithm allows the change points in the causal relationships between the cross-sectional dispersion of returns and squared index returns to be determined endogenously rather than being chosen arbitrarily a priori. Evidence of herding is detected in the constituent stocks of the Dow Jones Industrial Average at the onset of the subprime mortgage crisis, during the European debt and the U.S. debt-ceiling crises and the Chinese stock market crash of 2015. These results contrast with those obtained from the traditional methods where little evidence of herding is found in the US stock market.     

Currency crises and the stock market: empirical evidence for another type of twin crisis

We explore the dependency between currency crises and the stock market in emerging economies. Our focus is two-fold. First, the risk of a currency crisis rises as the foreign stake in the domestic stock market increases. Successful economies with high capital flows into their booming stock markets especially are prone to stock market-induced currency crises. Second, we apply the dividend growth model to show that stock markets crash in the run-up to a currency crisis. This new type of twin crisis is empirically tested by employing a logit framework using quarterly data for 33 emerging economies for 1994Q1–2007Q4.     

A stochastic control approach to buffer stock management in the Taiwan rice market

Buffer stock management of agricultural commodities is an intertemporal optimization problem under uncertainty. Stochastic optimal control techniques are presented as a means of solving this problem and then applied to the problem of farmer income support and price stabilization of the rice market in Taiwan. Deterministic results show that the price variation of a free market solution can be substantially reduced with little favoring of one group over another. Operation of a buffer stock under supply uncertainty is shown to generate greater variability in consumer expenditures and producer income than a free market solution.     

Transaction tax and stock market behavior: evidence from an emerging market

This study examines the impact of a stamp tax rate increase on market behavior, using data from two stock exchanges in China. We find that when the tax rate increases from 0.3 to 0.5% (which implies that the transaction cost increases by about 1/3) trading volume decreases by 1/3. This implies an elasticity of turnover with respect to a stamp tax of −50% and an elasticity of turnover with respect to transaction cost of −100%. The markets’ volatility significantly increases after the increase in the tax rate. Furthermore, the change in the volatility structure indicates that the markets become less efficient in the sense that shocks are less quickly assimilated in the markets.

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Forecasting the forecasts of others: Implications for asset pricing

We study the properties of rational expectation equilibria (REE) in dynamic asset pricing models with heterogeneously informed agents. We show that under mild conditions the state space of such models in REE can be infinite dimensional. This result indicates that the domain of analytically tractable dynamic models with asymmetric information is severely restricted. We also demonstrate that even though the serial correlation of returns is predominantly determined by the dynamics of stochastic equity supply, under certain circumstances asymmetric information can generate positive autocorrelation of returns.     

The Saturday effect: an interesting anomaly in the Saudi stock market

The vast majority of empirical research on calendar anomalies has studied financial markets in countries where the Western calendar is used. This article investigates day of the week effects in Saudi Arabia’s stock market, where an Islamic calendar is used and where Saturday is the first working day of the week over the sample period considered. The Saudi stock market is the largest in the Gulf region, and we consider both total market data (the TASI index) and data for 15 sector indices. Our investigation reveals the existence of a positive Saturday effect, which contrasts with the results on first day of the week effects that are typically obtained for Western calendar markets.