Does stock market performance affect the government satisfaction rating in the UK?

In this study, we attempt to answer the question of whether stock market performance affects the government satisfaction rating in the long run in a sample period spanning 1984:Q1 to 2013:Q2 in the UK. We examine both the equilibrium relationship and the causality relationship between stock market performance and government satisfaction rating. The results indicate that the voters are sensitive to the economic shocks and hold responsible for the government. The empirical results confirm the responsibility hypothesis.     

Periodically collapsing bubbles in the US stock market?

The existence of periodically collapsing bubbles in stock markets, applying the Enders–Siklos momentum threshold autoregressive (MTAR) model, is empirically investigated in this paper. Using this nonlinear time series technique, we are now able to analyse bubble-driven run-ups in stock prices followed by a crash in a cointegration framework with asymmetric adjustment. Therefore, applying this technique makes possible a deeper insight into the behavior of stock prices than was previously possible using conventional cointegration tests. Although the results from the subsample 1871–1995 cannot be interpreted in favor of the existence of periodically collapsing bubbles in the US stock market, the findings from the 1871–2001 sample period indicate their presence.     

Does measurement error matter in volatility forecasting? Empirical evidence from the Chinese stock market

Based on methods developed by Bollerslev et al. (2016), we explicitly accounted for the heteroskedasticity in the measurement errors and for the high volatility of Chinese stock prices; we proposed a new model, the LogHARQ model, as a way to appropriately forecast the realized volatility of the Chinese stock market. Out-of-sample findings suggest that the LogHARQ model performs better than existing logarithmic and linear forecast models, particularly when the realized quarticity is large. The better performance is also confirmed by the utility based economic value test through volatility timing.     

Does “hot money” drive China's real estate and stock markets?

The paper investigates the extent of the impact from “hot money” or speculative capital inflow on the fluctuations of China's real estate market and stock market. The results indicate that hot money has driven up property prices as well as contributed to the accelerating volatilities in both markets due to its enormous size and its short-term characteristic of investing. In particular, we find that hot money ranks as the second largest contributor in the fluctuations of China's real estate prices. In the “risky” regime, which corresponds to more inflows and higher volatility of hot money, the effects are even more prominent.     

Do speculative bubbles migrate in the Chinese stock market?

In this paper, a duration dependence test for speculative bubbles in the Chinese stock market is developed. It is found that bubbles in the aggregate stock price existed before the split share reform. After the reform, we observe the phenomenon of bubble migration across industries. In particular, bubbles migrate from the telecommunications industry to the health care industry. Moreover, we find that monetary policy used to have a significant impact on the bubble size before the reform but the impact diminished after the reform.

     

How does leverage in stock market influence the margin of stock index futures?

In this article, we propose a margin-setting model under the assumption of extreme stock price changes. Specifically, extreme stock price changes are caused by the positive feedback effect of leverage and market impact. By introducing these factors into the futures price changes through a cost-of-carry model for setting the margin of stock index futures, we find that leverage and market impact in stock market are positively correlated with the margin.     

Does the stock market affect investment by Chinese firms? Some new evidence

During the 1990s, the Chinese government increasingly relied on the stock market as the major tool for state‐owned enterprise (SOE) reform and for the allocation of investment resources. This paper investigates the impact of stock market development in China on firm‐level capital investment by using a panel data set constructed by the author of all Chinese listed firms for the period 1992 to 1999. The results show that stock market valuation, as measured by Tobin’s q, has a highly independent, significant and positive influence on listed firms’ investment decisions, particularly during the stock market boom from 1996 to 1999. Given the sizable real effects of the stock market, deviations of stock prices from fundamentals can have substantially negative consequences. As a result, this study suggests that sensible regulation of the Chinese stock market is needed in order to enhance the efficiency of stock prices and facilitate an effective channeling of investment funds.     

Does reference point matter in the leverage–return relationship? Evidence from the US stock market

The leverage–return relationship is supported by inconclusive empirical evidence in terms of its sign and significance. In this study, we argue that such a puzzling relationship can be understood by extending the traditional theoretical framework in a way that captures the reference dependence characteristics of prospect theory. We postulate that a firm’s leverage position relative to its reference point (i.e. target leverage) combined with market conditions places firms in either a gain or a loss domain, thereby resulting in different leverage–return relationships. Leverage and expected equity returns generally exhibit positive and negative relationships in gain and loss domains, respectively. Three hypotheses are derived and tested using 1998–2013 empirical data from the US stock market. This article contributes to the existing literature by confirming the applicability of prospect theory in explaining expected returns in the stock market.     

Do political connections decrease the accuracy of stock analysts' recommendations in the Chinese stock market?

This paper studies the association between the accuracy of analysts' recommendations and political connections in the Chinese stock market. As most brokerage firms in China are state-owned, it raises concerns about conflicts of interest among their employed analysts issuing recommendations for Chinese state-owned enterprises. Based on 8469 analysts' recommendations with different ratings for both state-owned and non-state-owned enterprises from 74 brokerage firms, we document that analysts' recommendations are less accurate for Chinese state-owned enterprises, which supports the hypothesis that conflicts of interest create recommendation biases. Political connections encourage analysts to be more optimistic on SOEs and even to generate misleading “Buy” and “Hold” recommendations. Our results demonstrate the existence of an optimism bias among politically connected analysts on state-owned enterprises in China.     

Testing for long memory in Chinese stock market

This paper proposes a long memory analysis based on wavelet transform of financial data. This method treats return series and volatility series in the stock market as a fractional differenced noise process, and analyzes it by MODWT（maximal overlap discrete wavelet transform）. The result shows there is a lineal relationship between wavelet variance logarithm and scale logarithm, so a long memory parameter can be obtained by using the relationship. This method is proved to be effective and feasible by analyzing the return series and volatility series of composite indexes of Shanghai and Shenzhen stock market.     

Does the stock market cause economic growth? Portuguese evidence of economic regime change

The relationship between stock market and economic growth is tested for Portugal (1993–2011), which is a small open economy dependent on bank financing. The relationship between economic growth and bank financing is also appraised. Using Vector Autoregressive (VAR) modeling, Granger causality, variance decomposition and impulse response function are discussed. The physical replacement of the currency, as a consequence of the integration in the European Monetary Union, proves to be an economic regime change. The effect of the subprime crisis was also proved. There is evidence of Granger bidirectional causality between the stock market and economic growth. Meanwhile, there was no evidence of causality running from bank financing to economic growth.     

Investors’ fear and herding in the stock market

ABSTRACT

In this article, we examine herding in three developed stock markets testing for the impact of investors’ ‘fear’ on herding estimations. To this end, we employ daily data of all listed stocks from USA, UK and Germany from January 2004 to July 2014. We examine herd behaviour applying the cross-sectional dispersion approach. Moreover, we investigate the asymmetric herding behaviour under different market states and sub-periods. The stock markets under examination provide comparable implied volatility indices which are used as a proxy for fear. As a result, apart from the standard herding estimations within and across markets, we also augment the benchmark model with the fear indicator. Our empirical results document the statistically significant impact of fear on herding estimations. Moreover, there is evidence of cross market herding as well as evidence of herding in the UK during specific sub-periods.     

The role of Chinese stock market in global stock markets: A safe haven or a hedge?

The contribution of the study is threefold. First, the paper proposes a new empirically testable definition for a safe haven and a hedge from the viewpoint of extreme and regular dependences measured by a modern statistical tool of copulas. Second, this paper investigates the extreme and regular dependences between the Chinese and the G7 stock markets, using a mixture copula specification, and the results reveal that the Chinese stock market has been not only a hedge but also a safe haven for the G7 stock markets all these years. Finally, this study suggests that the Chinese stock market is the target market for global stock fund managers and international investors, who are seeking a hedge or a safe haven for their portfolios, under turbulence.     

Is it China that leads the Asian stock market contagion in 2015?

This article examines the influence of China B-share aggregates on major Asian stock market aggregates during 2015 China crash. Results indicate the China market shows strong negative impact and is highly responsible for leading most markets down during the crash.     

How important is the stock market wealth effect on consumption in India?

We examine how shocks emanating from changes in the stock wealth affect the consumption demand in India using a Bayesian VAR framework. The effect of the stock market wealth shock on consumption demand in India is relatively small in magnitude. The estimates suggest that a 10% increase in the real stock wealth raises the consumption demand by 0.3%, which seems to be consistent with some empirical estimates for the emerging market economies given a relatively low share of stock wealth in the household asset portfolio and its asymmetric distribution. The stock market wealth effect being short run in nature does not have a large and persistent effect on consumption demand since consumers may not perceive the changes in the stock wealth to cause a permanent shift in their wealth.     

Does risk aversion explain behavior in a lemon market?

Siegenthaler proposes an ingenious solution to the lemon market adverse selection problem. He incorporates ‘‘cheap talk’’ in which sellers send out costless and nonbinding messages informing potential buyers of the quality of their goods; these messages could be true or false. This segments the market into several submarkets. Potential buyers need to decide which submarket to enter and what price to bid for the goods. Sellers then decide whether to accept the bid or not. He experimentally tests his model and finds that the comparative static results align with his theory, although the data do not exactly fit the model. Indeed, he does not fit the model to the data. His theory assumes risk-neutral decision-makers (DMs). Two reasons why the fit is not perfect may be that the DMs are not risk neutral and not perfectly rational. In this note, we report the results of fitting an asymmetric risk averse quantal response equilibrium (QRE) extension of his model to his data, and we find that the extension fits well. We show that the results are consistent with the market evidence and shed light on future research on lemon markets.     

Does the stock market contain information about economic growth? Time-varying out of sample causality tests

We present a new approach to conduct time-varying out of sample causality tests and apply our method to examine the information content of the stock market for economic growth in the US context. We show that equity valuations convey little information in the period after the 1960s. Particularly, there is no evidence to suggest that the recent bull market in equities is indicative of higher future economic growth. Hence, our results are against the argument that the stock market should be included as a leading indicator in economic policymaking.     

The relationship between trading activity and stock market volatility: Does the volume threshold matter?

This paper examines whether trading activity conveys valuable information about changes in market volatility dynamics. We use a modelling framework, in which the market smoothly switches from one state to another, according to the volume level. Results show that large volume drives the high volatility regime for most of the markets, quite consistently with the disagreement-in-beliefs hypothesis. The volume decomposition into normal trading activity and surprising information arrival reveals a reverse threshold linkage for emerging markets. Results support the sequential information arrival hypothesis and highlight the key role of asymmetric information and thin trading in modelling the volume-volatility relationship. The proposed volume-based models provide significant forecast improvements over competing models and offer scope for investors to earn substantial profits.     

Does investor sentiment dynamically impact stock returns from different investor horizons? Evidence from the US stock market using a multi-scale method

This article uses the investor sentiment index to investigate the Granger causality between investor sentiment and stock returns for the US economy using a multi-scale method. To focus on the local analysis of different investor horizons, bivariate empirical mode decomposition is used to decompose time series of investor sentiment and stock returns at different timescales. We employ the linear and nonlinear integrated Granger causality method to examine the causal relationship of decomposed series on similar timescales. The results indicate both strong bilateral linear and nonlinear causality between longer-term investor sentiment and stock returns. However, there is no strong evidence for correlation of stock returns and investor sentiment on shorter timescales.