Non-nested tests of a GDP-augmented Fama–French model versus a conditional Fama–French model in the Australian stock market

We extend Vassalou (2003) by conditioning the Fama–French model with the same macroeconomic variables used to construct a GDP factor. The motivation for doing so is to ascertain whether the ability of the GDP-augmented model to explain equity returns is actually due to news about future GDP growth or whether it is due to the macroeconomic conditioning variables used to construct the GDP factor. We compare the performance of a GDP-enhanced Fama–French model with the conditional Fama–French model using non-nested testing techniques. We find that the GDP-augmented model considerably underperforms the conditional version of the model.

Developing economies and the emergence of new stakeholder group: an examination of stakeholders in the Chinese stock market

As a consequence of the development of the Chinese economy, there has been an emergence of “new” stakeholder groups for the Chinese listed firms. New stakeholder groups include creditors, regulatory agencies, private investors, professional associations and environmentalists. With the use of secondary data, a review was undertaken to explore the emergence of these new stakeholder groups and discuss their influence over listed firms in China. The stakeholder typology developed by Mitchell et al (1997) is used to identify stakeholder attributes of each stakeholder group and assess their stakeholder power. The changes of stakeholder power over the years mirror China’s transition from a centrally planned economy to a more market oriented one.

Institutional Ownership, Audit Committee and Risk Disclosure – Evidence from Australian Stock Market

This study investigates the influence of institutional ownership and audit committees corporate risk disclosures. Focusing on analysing firms’ risk disclosures make in their 2009 annual reports, our sample constitutes a sample of 66 Australian listed firms. We divide institutional shareholders into dedicated-type institutional block shareholders and transient-type institutional block shareholders. We find that while there is no significant relationship between dedicated-type institutional block shareholders and risk disclosure, there is a positive relationship between transient-type institutional block shareholders and risk disclosures. Our result is consistent with a principal that wields limited monitoring resources while achieving high resource dependency over management. We also find a significant and positive relationship between audit committee independence and risk disclosures, showing the positive role played by audit committee in improving the information transparency and reducing information asymmetry in capital market.

A hybrid approach to fuzzy risk analysis in stock market

The analysis and prediction of stock market has always been well recognized as a difficult problem due to the level of uncertainty and the factors that affect the price. To tackle this challenge problem, this paper proposed a hybrid approach which mines the useful information utilizing grey system and fuzzy risk analysis in stock prices prediction. In this approach, we firstly provide a model which contains the fuzzy function, k-mean algorithm and grey system (shorted for FKG), then provide the model of fuzzy risk analysis (FRA). A practical example to describe the development of FKG and FRA in stock market is given, and the analytical results provide an evaluation of the method which shows promote results. © 2013 IEEE.

How profitable is the Indian stock market?

In this paper, using a range of technical trading and momentum trading strategies, we show that the Indian stock market is profitable. We find robust evidence that investing in some sectors is relatively more profitable than investing in others. We show that sectoral heterogeneity with respect to profitability is a result of the gradual diffusion of information from the market to the sectors. Specifically, we show that while the market predicts returns of sectors, the magnitude of predictability varies with sectors. Our results are robust to a range of trading strategies. © 2014 Elsevier B.V.

The ‘great unwatched’ and the ‘lightly touched’: surveillance and stock market fraud

This chapter examines financial corporate crime, specifically the discontinuitiesand asymmetries in power that condition the differential uses of surveillance andsurveillance technologies in the governance of stock market fraud. It studiesstate and non-state control ('rule at a distance') (Rose and Miller 1992), theresistance practiced by the powerful economic actors who make up national andinternational equity trading markets, and the control efforts of regulatory agenciescharged with preventing, regulating and enforcing laws to counter stockmarket crime. At a theoretical level the study critiques the claims of surveillanceliteratures that technologically mediated surveillance, 'the new transparency',renders all social fields visible, and therefore knowable, manageable and governable(Haggerty and Ericson 2000), by documenting and interrogating how codeis used by powerful bankers, lawyers, accountants and stock brokers to construct'visibility covers' (Williams 2008: 1; Snider 2009; Braithwaite 2005).

Concurrent momentum and contrarian strategies in the Australian stock market

We investigate the coexistence of momentum and contrarian strategies in the Australian equity market from 1992 to 2011. We show that contrarian strategies prevail in the short-term investment horizon while momentum strategies dominate in the intermediate- and long-term horizons. However, only short-term contrarian strategies significantly outperform the simple buy-and-hold strategy of investing in the market index over the same period. Further examination of these strategies shows that the Australian mining sector undermines the performance of momentum while enhancing performance of contrarian strategies. Lastly, using both parametric and non-parametric approaches, we show that these strategies’ returns are persistent anomalies and not completely explained by standard return-generating models.

Can governance quality predict stock market returns? New global evidence

We develop country-level governance indices using governance risk factors and examine whether country-level governance can predict stock market returns. We find that country-level governance predicts stock market returns only in countries where governance quality is poor. For countries with well-developed governance, there is no evidence that governance predicts returns. Our findings also confirm that investors in countries with weak governance can utilise information contained in country-level governance indicators to devise profitable portfolio strategies.

Time-varying herding behavior, global financial crisis, and the Chinese stock market

In this paper, we examine the evidence of herding behavior on the Chinese stock market. Our main findings are as follows. First, we find strong evidence of herding behavior on both the Shanghai and Shenzhen stock exchanges. Second, we document evidence of asymmetric herding behavior with greater magnitude of herding behavior on up markets than on down markets. Third, our findings suggest that herding behavior is sector-specific and predominant in the industrial and properties sectors. Finally, we unravel strong evidence suggesting that herding behavior is time-varying and in some sectors time-varying herding behavior is more prevalent than in other sectors.

Initiation of trades on the Chinese stock market

The flow of orders from buyers and sellers, relative to past returns and stock characteristics, was examined in the Chinese stock market. Order imbalance (the gap between buyer-and seller-initiated trades) was found to be negatively related to long term returns. Turn of the calendar year trading provided strong indications of tax-motivated trading as well as support for the flight-to-quality hypothesis, which suggests selling in response to perceived increases in market risk.

Some hypotheses on commonality in liquidity: new evidence from the Chinese stock market

In this article, we examine four specific hypotheses relating to commonality in liquidity on the Chinese stock markets. These hypotheses are (1) that market-wide liquidity determines liquidity of individual stocks; (2) that liquidity varies with firm size; (3) that sectoral-based liquidity affects individual stock liquidities differently; and (4) that commonality in liquidity has an asymmetric effect. Drawing on a two-year data set on the Shanghai and Shenzhen stock exchanges comprising over 34 million and 48 million transactions, respectively, we find strong support for commonality in liquidity and a greater influence of industry-wide liquidity in explaining liquidity of individual stocks. Moreover, our results suggest that of the three main sectors - financial, industrial, and resources - the industrial sectors liquidity is most important in explaining individual stock liquidities. Finally, we do not find any evidence of size effects and document an asymmetric effect of market-wide liquidity on liquidity of individual stocks.

Stock market liquidity and firm value : an empirical examination of the Australian market

We document a positive relation between stock liquidity and firm value. We examine the mechanism through which stock market liquidity enhances firm value by dividing firm value, as measured by Tobin’s Q, into three components, namely, operating income to price, leverage, and operating income to assets. Using the switch to broker anonymity as an exogenous shock to market liquidity, we show that the increase in liquidity around the shock leads to an increase in firm value. Our results suggest that higher firm value for more liquid stocks seems to stem from enhanced stock prices rather than from better operating performance.