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.

     

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.     

The 2007 financial crisis and the UK residential housing market: Did the relationship between interest rates and house prices change?

This paper investigates the impact of the 2007 financial crisis on the relationship between real mortgage interest rates and real house prices. It applies a dynamic conditional correlation based methodology that uses fractionally differenced data along with controls for structural breaks and non-interest-rate related factors that influence house prices. The key finding made is that the financial crisis had a long-term structural impact on the monetary transmission relationship. For example, we find that the mean conditional correlation between house prices in England and Wales and the three-year fixed mortgage rate rose by 6.6 percentage points. Similarly, the mean correlation between prices and the standard variable mortgage rate increased 6.4 percentage points to 54%. These findings suggest to us that interest-rate-based monetary policy still has an important role to play in the housing market.     

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.     

Do different time horizons in the volatility of the US stock market significantly affect the China ETF market?

This article investigates the linear, nonlinear and time-varying Granger causality between different time horizons in the volatility of US stock market and the China Exchange-Traded Fund (ETF) market. We find evidence of linear causality from the US stock market to the China ETF market, with a bilateral nonlinear causal relationship in the longer term. Bootstrap rolling causality analysis indicates high rejection rates of a noncausal relationship running from the US stock market to the China EFT market. The causality linkage from the China ETF market to the US stock market was determined to be time-horizon-dependent, and the null hypothesis rejection rate of non-Granger causality increased in the longer term.     

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.     

Should ASEAN-5 monetary policy-makers act pre-emptively against stock market bubbles?

Stock market rises and asset price inflation in ASEAN economies have raised the question of whether monetary authorities in these economies should act pre-emptively against these rising trends to prevent impending financial crises. Using structural vector error correction models (SVECMs) which incorporate mixed data characteristics, we examine the effects and interactions between monetary policy and stock market shocks for Singapore, Malaysia, Thailand, Indonesia and the Philippines. The results suggest that monetary policy focused on the stock market detracts from price stability objectives, in particular because containing a stock market bubble may inadvertently depress output and inflation.     

Is the stock market sticker shocked? A study of market response to recent CAFE regulations in the US

In response to increasing environmental concerns, to improve energy security and to conserve energy use, the US government has proposed a new round of Corporate Average Fuel Economy (CAFE) standards. Many studies have focused on how the CAFE standard can be met by various automakers that have sales in the US market, and the costs and benefits of the companies meeting the standard. However, the stock markets’ view on the impact of the standard on automakers’ profitability is largely absent. We study the more recent episode of the CAFE regulation in an effort to try to detect the market response using the standard event study method. Our empirical findings suggest that while the stock market had some responses to the regulation, the large-scale and systematic reaction to the regulation is absent. In addition, the market response pattern to the regulation appears to be tied to the individual company’s compliance condition if there is any significant response at all.     

Speculative bubbles or market fundamentals? An investigation of US regional housing markets

This paper investigates the existence of speculative bubbles in the US national and 21 regional housing markets over three decades (1978–2015). A new method for real-time monitoring exuberance in housing markets is proposed. By taking changes in the macroeconomic conditions (such as interest rate, per-capita income, employment, and population growth) into consideration, the new method provides better control for housing market fundamentals and thereby it is expected to significantly reduce the chance of false positive identification. Compared with the method of Phillips et al. (2015a, 2015b), the new approach finds a dramatic reduction in the number of speculative housing markets and shorter bubble episodes in the US. It locates only one bubble episode in the early-to-mid 2000s over the whole sample period in the national housing market. At the regional level, it identifies two periods of speculation: late 1980s and early-to-mid 2000s. The early-to-mid 2000s bubble episode lasts longer and involves 16 metropolitan statistical areas.     

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.     

Analyst coverage and stock return synchronicity: evidence from regulation changes in China’s IPO market

This article investigates the relation between analyst coverage and stock return synchronicity in the IPO market. Using a unique data set in China from 2005 to 2012, we find a significantly different effect of analyst coverage on synchronicity before and after the implementation of important 2009 IPO regulation changes in China. Specifically, we document that analyst coverage reduces synchronicity but that this effect is significant only after 2009. In addition, we extend this research to further distinguish the information production role of underwriter and independent analysts. We find that prior to 2009, underwriter analysts’ coverage decreases synchronicity but independent analysts’ coverage does not. However, in the post-2009 period, both types of analyst coverage are significantly and inversely associated with synchronicity. Overall, our results support analysts’ role as producers of firm-specific information in an emerging IPO market and shows that this role depends on the institutional environment.     

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.     

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.     

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.     

Dynamic causality between the U.S. stock market,the Chinese stock market and the global gold market: implications for individual investors’ diversification strategies

This paper proposes a generalization of the prior VAR and EGARCH model to explore the linkage between returns and volatility transmissions in the U.S. stock market, the Chinese stock market, and the global gold market from 10 July 1996 to 20 July 2018. We found that past returns of the U.S. stock market can predict the current returns of the other two markets, and that significant reciprocal volatility transmission existed within and across all three markets. We further implemented average out-of-sample (OOS) forecasting to show that a risk-adjusted portfolio, such as mean-variance with sample estimator, does not outperform an equal-weighted portfolio. This provides insights for individual investors and helps to explain the ongoing disagreement in the portfolio literature concerning the effectiveness of risk-adjusted portfolios and equal-weighted portfolios when the number of assets is small.     

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.     

Are there bubbles in exchange rates? Some new evidence from G10 and emerging market economies

The existence, or otherwise, of bubbles has become a topical issue in economics and finance, particularly following the Global Financial Crisis. Using the generalized sup ADF (GSADF), unit root tests of Phillips et al. (2015a, PSY) we investigate evidence for exchange rate bubbles in some G10, Asian and BRICS countries from Mar.1991-Dec.2014. We conclude that the US$-Mexican Peso crisis of 1994–95 was a bubble. Of particular interest to financial market trading, is that newly emerging countries, with relatively shallow financial markets, may be more likely to exhibit bubbly behavior in foreign exchange markets than more mature G10 countries.     

How are gold returns related to stock or bond returns in the U.S. market? Evidence from the past 10-year gold market

Although the gold market over the past decade has been soaring relative to its prior history, there have been few studies on the relationship between the gold market and other major financial markets based on the past decade of data. To re-investigate how the gold market interacts with the stock market and the bond market, we re-visit economic and financial characteristics of gold using the past 10-year data in terms of co-integration, causality, predictive power, and extreme returns. We find that while gold returns are not co-integrated with stock returns and bond returns, gold returns have a unidirectional causality with both of them. Also, we discover that gold returns have some predictive power on subsequent short-term stock returns. Under extreme market scenarios, it turns out that gold returns tend to deteriorate more simultaneously with bond returns than stock returns. This means that gold can better serve as a safe haven for stock in a relative sense during temporary market downturns.     

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.