The interaction of the financing and investment decisions: Preliminary results in the Australian context

This paper investigates the presence of the interaction of investment and financing decisions in Australian firms. Using simultaneous equations incorporating the variables of investment, dividend, and new debt issue, interactive effects are found for two sub-periods.     

The shifting dependence dynamics between the G7 stock markets

The growing interdependence between financial markets has attracted special attention from academic researchers and finance practitioners for the purpose of optimal portfolio design and contagion analysis. This article develops a tractable regime-switching version of the copula functions to model the intermarkets linkages during turmoil and normal periods, while taking into account structural changes. More precisely, Markov regime-switching C-vine and D-vine decompositions of the Student’s t copula are proposed and applied to returns on diversified portfolios of stocks, represented by the G7 stock market indices. The empirical results show evidence of regime shifts in the dependence structure with high contagion risk during crisis periods. Moreover, both the C- and D-vines highly outperform the multivariate Student’s t copula, which suggests that the shock transmission path is as important as the dependence itself, and is better detected with a vine copula decomposition.     

Economic cycles and downside commodities risk

We de-compose the S&P Goldman Sachs Commodity Index into its underlying commodity sub-categories and develop a modified conditional value at risk (CVaR) metric to examine downside risk linked to economic periods which are classified by their GDP growth as green, yellow, orange and red. We term this new metric economic CVaR (ECVaR). We found significant differences in the relative ECVaR rankings of different commodities over our different economic cycles.     

Industries' heterogeneous reactions during the COVID-19 outbreak: Evidence from Chinese stock markets

This study examines the heterogeneous effects of the COVID-19 outbreak on stock prices in China. We confirm what is already known, that the pandemic has had a significant negative impact on stock market returns. Additionally, we find, this effect is heterogeneous across industries. Second, fear sentiment can directly cause stock prices to fall and panic exacerbates the negative impact of the pandemic on stock returns. Third, and most importantly, we demonstrate the underlying mechanisms of four firm characteristics and find that those with high asset intensity, low labor intensity, high inventory-to-revenue ratio, and small market value are more negatively affected than others. For labor-intensive state-owned firms, in particular, stock performance worsened because of higher idle labor costs. Finally, we created an index to measure the relative position of an industry in the supply chain, which shows that downstream companies were more vulnerable to the effects of the pandemic.     

Forecasting high-frequency excess stock returns via data analytics and machine learning

Borsa Istanbul introduced data analytics to present additional information about its market conditions. We examine whether this product can be utilized via various machine learning methods to predict intraday excess returns. Accordingly, these analytics provide significant prediction ratios above 50% with ideal profit ratios that can reach up to 33%. Among all the methods considered, XGBoost (logistic regression) performs better in predicting excess returns in the long-term analysis (short-term analysis). Results provide evidence for the benefits of both the analytics and the machine learning methods and raise further discussion on the semistrong market efficiency.     

Yield effects of agricultural cooperative membership in developing countries: A meta-analysis

This study uses a meta-analysis to synthesize the effects of agricultural cooperative membership on the yield of crops and livestock. It collects 158 estimated yield effects from 42 studies, covering 19 developing countries. Our analysis finds evidence that there exists positive publication bias in the empirical literature, confirming that researchers and journals have a preference to publish articles that report positive and significant results. After correcting for publication bias, we find that cooperative membership has a small-sized and insignificant effect on the yield. The meta-regression analysis reveals that variation in the reported yield effects can be largely explained by the study attributes such as the sample type (full sample vs. subsample), membership ratio, econometric approaches (instrumental-variable based parametric approach, non-parametric approach or ordinary least square regression), effect size types (average treatment effects on the treated, average treatment effects, or coefficient), agro-product type (grain or others), and climate zones (tropical or non-tropical).     

Fostering green product innovation through green entrepreneurial orientation: The roles of employee green creativity,green role identity,and organizational transactive memory system

Developing new green products is critical to an organization's achievement of sustainable goals as well as competitive advantage. This study aims to unravel the mechanisms through which organizations with green entrepreneurial orientation (green EO) can foster green product innovation. The dataset for testing these mechanisms was garnered from employees and managers who worked in manufacturing firms based in an Asia-Pacific market. Through a multilevel analysis of the data, the study revealed the positive nexus between organizational green EO and green product innovation. The results of the study further lent credence to employee green creativity as a mediation path for such a relationship. Furthermore, employee green role identity and organizational transactive memory system were found to fortify the linkage between green EO and employee green creativity. These results suggest to organizations how to optimally translate their green entrepreneurial strategy into new green products that met customer preferences and societal expectations.     

Internet use and consumption diversity: Evidence from rural China

The Internet is integral to modern living. While the Internet is ubiquitous in China's urban areas, its uptake is still lagging in the country's rural regions—the development potential of the Internet remains untapped, and despite China's steep economic growth during the 21st century, the living standards in its rural regions remain low. The Internet can accelerate rural development in China. This study is focused on analyzing whether and to what extent Internet use affects consumption diversity, an indicator of the quality of life, in rural China. To this end, we employ the instrumental-variable-based two-stage endogenous treatment regression model to analyze the 2018 China Family Panel Studies survey data. The modeling approach allows us to account for the endogeneity of Internet use. The results show that consumption diversity is positively associated with Internet use. Furthermore, it rises with household income, household size, and wealth. Whether the Internet is accessed via smartphones or computers has no bearing on household consumption diversity. We also find that education, household income, and wealth increase one's predicted probability of using the Internet. The results also point to regional differences in consumption diversity and the likelihood of using the Internet.     

Are institutional investors colluding with manipulators?

This paper examines the trading behavior of institutional investors in Taiwan before, during, and after a manipulation event and determines whether institutional investors benefit from their trading behavior during the period from the year 2000 to 2020. We find that stocks with a low turnover and small market capitalization are the main targets of price manipulators. In addition, the stock price of manipulated firms increases from the start date of the manipulation event, peaks at the end of the event, then falls after the event. Foreign institutions collude with manipulators to exaggerate stock prices for self-benefit. In contrast, securities dealers counter the trading behavior of manipulators and act as market stabilizers, causing them to suffer losses. Moreover, foreign institutions earn higher returns on stocks of manipulated firms with a low turnover during and soon after manipulation; however, they earn a higher return on stocks of manipulated firms with a high turnover in the long run after manipulation.