Optimal Exchange-Rate Policy in a Model of Local-Currency Pricing with Vertical Production and Trade

In this paper, we examine optimal exchange-rate flexibility in a model of local-currency pricing with vertical production and trade. Following a large body of empirical evidence, we assume that final-goods prices are sticky, but intermediate-goods prices are flexible. We find that, unlike what is found in the literature, optimal nominal exchange rate is flexible under local-currency pricing. The key element in deriving our conclusion is the difference in expenditure shares between home and foreign households. The conclusion holds even if the degrees of home bias in production are identical between home and foreign final-goods producers, which contrasts with the findings in the literature.     

Do economic statistics contain information to predict stock indexes futures prices and returns? Evidence from Asian equity futures markets

This research examines the impact of local and international market factors on the pricing of stock indexes futures in East Asian countries. The purpose of this paper is to present a study of the significant factors that determine the major stock indexes futures’ prices of Hong Kong, Malaysia, Singapore, South Korea and Taiwan. This study first investigates the relationships between Hang Seng Index Futures, KLCI Futures, SiMSCI Futures, KOSPI Futures, Taiwan Exchange Index Futures and local interest rates, dividend yields, local exchange rates, overnight S&P500 index and a newly constructed index, Asian Tigers Malaysia Index (ATMI). 11 years historical data of stock indexes futures and the economic statistics are studied; 10 years in-sample data are used for testing and developing the pricing models, and 1 year out-of-sample data is used for the purpose of verifying the predicted values of the stock indexes futures. Using simple linear regressions, local interest rates, dividend yields, exchange rates, overnight S&P500 and ATMI are found to have significant impact on these futures contracts. In this research, the next period close is predicted using simple linear regression and non-linear artificial neural network (ANN). An examination of the prediction results using nonlinear autoregressive ANN with exogenous inputs (NARX) shows significant abnormal returns above the passive threshold buy and hold market returns and also above the profits of simple linear regression (SLR). The empirical evidence of this research suggests that economic statistics contain information which can be extracted using a hybrid SLR and NARX trading model to predict futures prices with some degree of confidence for a year forward. This justifies further research and development of pricing models using fundamentally significant economic determinants to predict futures prices.

     

Public–Private Sector Wage Gap in Australia: Variation along the Distribution

Previous research on public–private wage differentials in Australia has focused on the mean of the conditional wage distribution. Using six waves of the Household, Income and Labour Dynamics in Australia survey, this study employs quantile regressions to examine whether the sectoral wage effect varies along the wage distribution. For females, public sector wage premiums are relatively stable for almost the entire distribution. For males, they decrease monotonically and are negative for the top half of the distribution. The decomposition results show that the observed differences in individuals and job characteristics explain a substantial proportion of the sectoral wage gap.     

Analyst Herding and Stock Price Crash Risk: Evidence from China

We examine the proposition that firms with disproportionately more analysts herding in their coverage, as measured by a larger herding index value, have higher crash risk. Our findings are consistent with the main proposition. The results suggest that information production, rather than monitoring, is the primary mechanism behind the positive relation between herding and crash risk. Our conclusion is robust to different measures of crash risk, crash risk windows, herding measures, subsamples, and instrumental estimation. In addition, using post‐earnings announcement drift, we report that analyst herding slows down bad news transmission in the market. Our findings extend the literature by documenting that analyst herding plays a role in enhancing crash risk. Analyst herding has economic consequences on the covered firms. We offer support for the concern in the literature regarding analyst herding and market fluctuations.     

Systemic justice and burnout: A multilevel model

With the aim of extending organisational justice research to embrace significant and enduring aspects of the workplace context, this study examines organisational culture and human resource management (HRM) as constitutive dimensions of systemic justice and relates them to employee health. Bridging organisational justice, HRM, organisational culture, and occupational health research, we advance and test a multilevel model relating systemic justice to burnout. Data collected from 60 organisations; 89 employee groups; and 1,976 employees provide support for the hypothesised relationships between justice‐oriented culture, in terms of organisational values and group culture, and justice‐oriented HRM. In turn, justice‐oriented HRM related directly to employee burnout and indirectly through employee perceived job control and supervisor social support.     

Are impatient farmers more risk-averse? Evidence from a lab-in-the-field experiment in rural Uganda

Based on data from a field-experiment in rural Uganda, we show that impatient farmers are more risk-averse than patient farmers. We relied on a simplified version of the Convex Time Budget (CTB) method to elicit farmers’ time preferences and on an independent method for eliciting their risk-preferences. We report two important findings. First, we show that our simplified CTB method applied to farmers from Uganda replicates the key findings of Andreoni and Sprenger’s lab experiments that involved student subjects. Second, we establish the existence of a negative correlation between risk tolerance and impatience, based on two independent measures.     

Assessing Financial Performance of Malaysian Islamic and Conventional Commercial Banks Using Financial Ratios

A rapid growth of Islamic banking has led the Malaysian economy to gaining greater prosperity than before. Presently, there are more than 20 Islamic banks operating in Malaysia. Financial ratios calculated from the categories of liquidity, profitability, risk and solvency, and efficiency of banks can be used to gauge the overall financial performance of the banking industry. The objective is to assess the overall performance of Islamic banks as well as conventional banks in Malaysia using financial ratios. The findings indicated that conventional commercial banks in Malaysia do have better quality assets, are more liquid, and are more profitable than Islamic banks. Total expenses in conventional banks are much higher, which may affect profitability and the significant amount of non-performing loans （NPLs）, thus increasing solvency risk. The findings show positive insights of Islamic banks, whose confidence and trust are rising, over a short period with strong improvements in asset utilization, effective management, and expenditure control. This comparative study clearly identified that conventional banks are better financial performers compared to Islamic banks in Malaysia during the period of 2006-2010.     

Shrinkage Estimation Strategies in Generalised Ridge Regression Models: Low/High-Dimension Regime

In this study, we suggest pretest and shrinkage methods based on the generalised ridge regression estimation that is suitable for both multicollinear and high-dimensional problems. We review and develop theoretical results for some of the shrinkage estimators. The relative performance of the shrinkage estimators to some penalty methods is compared and assessed by both simulation and real-data analysis. We show that the suggested methods can be accounted as good competitors to regularisation techniques, by means of a mean squared error of estimation and prediction error. A thorough comparison of pretest and shrinkage estimators based on the maximum likelihood method to the penalty methods. In this paper, we extend the comparison outlined in his work using the least squares method for the generalised ridge regression.     

Employee well-being attribution and job change intentions: The moderating effect of task idiosyncratic deals

We developed and tested a research model in which employee well-being human resource (HR) attribution differentially influences the intention to change jobs across organizations (i.e., external job change intention) versus that within the same organization (i.e., internal job change intention). Furthermore, we posited that task idiosyncratic deals (I-deals) moderated the relationships between employee well-being HR attribution and external and internal job change intentions. Results indicated that employee well-being HR attribution was negatively related to external job change intention, but positively related to internal job change intention. Further, task I-deals significantly moderated the relationships between employee well-being HR attribution and external and internal job change intention. Specifically, employee well-being HR attribution played a less important role in reducing external job change intention when task I-deals were high rather than low. On the other hand, high task I-deals significantly strengthened the positive relationship between employee well-being HR attribution and internal job change intention. Our study extends the careers literature by differentiating the impact of employee well-being HR attribution on job change intentions within an organization compared with that across organizations and the important role of supervisors in enhancing or mitigating these effects.     

Does Congruence with an Entrepreneur Social Identity Encourage Positive Emotion Under Environmental Dynamism?

Entrepreneurial identities and emotions can have profound effects on entrepreneurs. We examine how positive emotion (PE) among entrepreneurs may be influenced by the congruence they experience between their self‐concept and the entrepreneur social identity. Given that uncertainty in the business environment can exert powerful effects throughout the entrepreneurial process, we further test the moderating impact of environmental dynamism on the relationship between identity congruence and PE. Results from a study of 175 entrepreneurs indicate that entrepreneurs experiencing greater congruence have higher levels of PE, and that this relationship is stronger in more dynamic environments.