Foreign environmental impacts on export performance A study of agribusiness firms exporting to Japan

Although a large body of literature exists on export performance, little attention has been given to how foreign environments impact on the performance of firms exporting to a particular market. This study examines how the business environment in Japan impacts on a sample of New Zealand agribusiness firms exporting to this market. Using path analysis with LISREL, the findings suggest that the foreign environment in Japan has a small but significant adverse impact on export performance. The results also show that exporters are able to mediate the adverse effects of the Japanese business environment on their overall export performance by formulating effective product, pricing, promotion and distribution strategies.

Developments in the Japanese beef market following import liberalisation

Over the last several years there has been increasing pressure on most western industrialised countries to liberalise trade for food and agricultural products and yet the full implications of freer trade are not always well understood. This paper attempts to fill this gap by reviewing the developments in the Japanese beef market following import liberalisation. We conclude that the Japanese beef market has experienced major structural changes over a relatively short period as a result of liberalising beef imports. The most apparent impact has been on Japanese consumers who have benefited from lower retail beef prices and a greater variety of beef cuts to choose from. The types and quality of beef imported have also changed and consequently major suppliers have adapted their production systems and their products to the changing taste and preferences of Japanese consumers. Beef exporters to Japan, on the other hand, have experienced declining wholesale prices but have, nevertheless, benefited from the growing size of the market. Developments in the wider economy, such as changes in the retail distribution systems and the exchange rate have also influenced the beef sector.

Direct versus search engine traffic : an innovative approach to demand analysis in the property market

Purpose – The application of “Google” econometrics (Geco) has evolved rapidly in recent years and can be applied in various fields of research. Based on accepted theories in existing economic literature, this paper seeks to contribute to the innovative use of research on Google search query data to provide a new innovative to property research.

Design/methodology/approach – In this study, existing data from Google Insights for Search (GI4S) is extended into a new potential source of consumer sentiment data based on visits to a commonly-used UK online real-estate agent platform (Rightmove.co.uk). In order to contribute to knowledge about the use of Geco's black box, namely the unknown sampling population and the specific search queries influencing the variables, the GI4S series are compared to direct web navigation.

Findings – The main finding from this study is that GI4S data produce immediate real-time results with a high level of reliability in explaining the future volume of transactions and house prices in comparison to the direct website data. Furthermore, the results reveal that the number of visits to Rightmove.co.uk is driven by GI4S data and vice versa, and indeed without a contemporaneous relationship.

Originality/value – This study contributes to the new emerging and innovative field of research involving search engine data. It also contributes to the knowledge base about the increasing use of online consumer data in economic research in property markets.

Asymmetric information and market decline: evidence from the Chinese market

In this paper, we show that aggregate illiquidity is a priced risk factor on the Shanghai Stock Exchange (SHSE). We develop the relationship between the illiquidity factor, asymmetric information, and market decline. Our empirical results show that while the illiquidity factor is a source of asymmetric information on the SHSE, asymmetric information does not trigger market decline.

Unchecked manipulations, price–volume relationship and market efficiency: evidence from emerging markets

This paper investigates how unchecked manipulations could cause frequent trade-induced manipulations and weak-form market inefficiency in South Asian stock markets [Bombay Stock Exchange (BSE), Dhaka Stock Exchange (DSE) and Karachi Stock Exchange (KSE)]. Specifically, the paper analyses the price–volume relationship as one of the many cases of market inefficiency. By employing various econometric tests, this paper first provides conclusive evidence of market inefficiency in these markets. It then extracts evidence of manipulation periods from legal cases and analyses price–volume relationship during these periods. The paper finds that there exists market-wide trading-induced manipulations, where excessive buying and selling causes prices to inflate artificially before crashing down. The paper concludes that South-Asian markets are inefficient in the weak-form.

Foreign direct investment and the stages of sector diversification

Foreign direct investment (FDI), when considered homogenous, has case-specific result on sector diversification. However, FDI when disaggregated by its type, market-seeking FDI diversifies developed countries, while efficiency-seeking FDI diversifies developing countries, particularly in the manufacturing sector. Flexible labour markets and well-established financial markets also play important role in this context.

Has political instability contributed to price clustering on Fiji's stock market?

The goal of this article is to examine evidence of stock price clustering on the South Pacific Stock Exchange, located in Fiji, and explore its determinants. We find that stock prices cluster at the decimal of 0 and 5, with almost half of prices settling on these two decimals. Upon investigating the determinants of price clustering on the South Pacific Stock Exchange we find that price level and volume of trade have a statistically significant positive effect on price clustering. We also propose and test a ‘panic trading’ hypothesis which states political instability induces price clustering. We find evidence that political instability in Fiji induces price clustering behaviour.

Localized learning by emerging multinational enterprises in developed host countries: a fuzzy-set analysis of Chinese foreign direct investment in Australia

Firms learn general international management and foreign market specific knowledge in their internationalization process. Firms' strategic emphasis on generalized vs. localized learning is an important yet underexplored issue in the extant literature. Drawing on the theoretical framework of dynamic capability, and in the context of emerging multinational enterprises' FDI into developed host countries, this study examines the equifinal process-position-path configurations of firms that will motivate them to engage in localized learning (as opposed to generalized learning). Utilizing primary and secondary data of eleven Chinese foreign direct investments in Australia, collected at both headquarters and subsidiary levels, we conducted fuzzy-set qualitative comparative analysis (fsQCA) that provided substantial support to our propositions. This study contributes to the internationalization process model by identifying equifinal process-position-path configurations, as well as their core and peripheral conditions that motivate localized learning at both the headquarters and the subsidiary levels.

Enterprise localization practices and their implication for knowledge management in foreign participation in the Chinese construction sector

Foreign firms active in the Chinese construction industry find themselves in a competitive environment unlike the environments in which they operate back home. Adaptations are therefore required in order that firms retain competitive leverage while integrating into the circumstances of the Chinese market. Since these firms primarily compete on superior knowledge capabilities it is instructive to understand how adaptations both serve to transfer propriety capabilities to China while adapting to the knowledge characteristics of the Chinese market into which those capabilities are transplanted. Five localizing parameters across which adaptations take place are identified in this paper and rates of localization are tabulated for 60 foreign firms active in the Chinese construction industry. Revealed localizing behaviors are then analyzed in the light of existing literature for explanatory power. It is concluded that in order to be strategically competitive firms must not only retain knowledge differentials, but that the knowledge must be coded and disseminated in a manner suited to the environment in which it is to be utilized.

Call auction transparency and market liquidity: Evidence from China

This paper uses the natural experiment offered by the Shanghai Stock Exchange to investigate the impact of opening call auction transparency on market liquidity. We find that the dissemination of indicative trade information during the pre-open call auction session leads to an overall improvement in stock liquidity in the continuous trading session. Bid-ask spreads narrow in the first trading hour because adverse selection risk fell significantly and there is less price volatility in the continuous market. This effect is greater for actively traded securities than illiquid securities. Our findings are robust for different lengths of sample period, different lengths of trading hours after market open, and stocks that had (and had not) reformed the share split structure during our research period.

No news is not good news: evidence from the intra-day return volatility–volume relationship in Shanghai Stock Exchange

Through this research, we find that the asymmetric volatility phenomenon is reversed in the Shanghai Stock Exchange during bull markets. That is, volatility increases more with good news than with bad news. This evidence is inconsistent with the US markets. Further examination of this phenomenon reveals that the positive impact of good news on volatility is driven by the return-chasing behaviour of investors during bull markets. We also find that volatility increases after stock price declines in bear markets. After controlling for liquidity shifts, we observe similar patterns in volatility in both bull and bear markets. We posit that institutional and behavioural factors are the major driving forces of observed volatility patterns in the Chinese stock market.

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.

Predicting future earnings growth: a test of the dividend payout ratio in the Australian market

This paper examines the use of the payout ratio as a predictor of a firm’s future earnings growth. Recent evidence rejects the hypothesis that firm which retain a large portion of their earnings have strong future earnings growth. Higher dividend payout ratios instead correspond to higher future earnings growth. Examining both listed and delisted firms on the Australian stock exchange over the period 1989 to 2008, we provide further evidence that the dividend payout ratio is positively linked to future earnings growth. The results hold over both one, three and five year periods. Furthermore, our results rejected claims that such a relationship was caused by simple mean reversion in earnings. We find no evidence to support the cash flow signaling and free cash flow hypotheses as an explanation for this relationship.

Asymmetric risk and return: evidence from the Australian Stock Exchange

This paper examines volatility asymmetry in a financial market using a stochastic volatility framework. We use the MCMC method for model estimations. There is evidence of volatility asymmetry in the data. Our asymmetric stochastic volatility in mean model, which nests both asymmetric stochastic volatility (ASV) and stochastic volatility in mean models (SVM), indicates ASV sufficiently captures the risk-return relationship; therefore, augmenting it with volatility in mean does not improve its performance. ASV fits the data better and yields more accurate out-of-sample forecasts than alternatives. We also demonstrate that asymmetry mainly emanates from the systematic parts of returns. As a result, it is more pronounced at the market level and the volatility feedback effect dominates the leverage effect.