Global market shocks and poverty in Vietnam: the case of rice

World food prices have experienced dramatic increases in recent years. These “shocks” affect food importers and exporters alike. Vietnam is a major exporter of rice, and rice is also a key item in domestic production, employment, and consumption. Accordingly, rice price shocks from the world market have general equilibrium impacts and as such, their implications for household welfare are not known ex ante. In this article, we present a framework for understanding the direct and indirect welfare effects of a global market shock of this kind. We quantify transmission of the shock from global indicator prices to domestic markets. Then we use an applied general equilibrium model to simulate the economic effects of the price changes. A recursive mapping to a nationally representative household living standards survey permits us to identify in detail the ceteris paribus effects of the shock on household incomes and welfare. In this analysis, interregional and intersectoral labor market adjustments emerge as key channels transmitting the effects of global price shocks across sectors and among households.     

Competition and risk in South East Asian commercial banking

This article investigates the effects of competition on bank risk taking behaviour in four South East Asian countries (Indonesia, Malaysia, Philippines and Vietnam). Our main finding is that competition does not increase bank risk-taking behaviour and the results appear robust to different model specifications, estimation approaches and variable construction. We also find that concentration is inversely related to bank risk whereas regulatory restrictions positively influence bank risk-taking.     

Trend‐cycle Estimation Using Fuzzy Transform and Its Application for Identifying Bull and Bear Phases in Markets

This paper is focused on one of the fundamental problems in financial time‐series analysis; namely, the identification of the historical bull and bear phases. We start with the proof that the trend‐cycle can be well estimated using the technique of a higher degree fuzzy transform. Then, we suggest a mathematical definition of the bull and bear phases and provide a novel technique for their identification. As a consequence, the turning points (i.e. the points where the market changes its phase) are detected. We illustrate our methodology on several examples.     

Asymmetric Learning from Prices and Post‐Earnings‐Announcement Drift

Motivated by research in psychology and experimental economics, we assume that investors update their beliefs about an asset's value upon observing the price, but only when the price clearly reveals that others obtained private information that differs from their own private information. Specifically, we assume that investors learn from the price of an asset in an asymmetric manner—they learn from the price if they observe good (bad) private information and the price is worse (better) than what is justified based on public information alone. We show that asymmetric learning from an asset's price leads to post‐earnings‐announcement drift (PEAD), and that it generates arbitrage opportunities that are less attractive than alternative explanations of PEAD. In addition, our model predicts that PEAD will be concentrated in earnings surprises that are not dominated by accruals, and it also predicts that earnings response coefficients will decline in the magnitude of the earnings surprises.     

Social Media Analytics

In this contribution, we introduce “social media analytics” (SMA) as an emerging interdisciplinary research field that, in our view, will have a significant impact on social media-related future research from across different academic disciplines. Despite a number of challenges, we argue that SMA can provide other disciplines – including IS – with methodological foundations for research that focuses on social media. Furthermore, we believe that SMA can help IS research to develop decision-making or decision-aiding frameworks by tackling the issue of social media-related performance measurement, which has been challenging until now. Moreover, SMA can provide architectural designs and solution frameworks for new social media-based applications and information systems. Finally, we call for an interdisciplinary SMA research agenda as well as a significantly increased level of interdisciplinary research co-operation, which must aim to generate significant advancements in scientific methods for analyzing social media, as well as to answer research questions from across different disciplines.     

Strategic Human Resource Management as Ethical Stewardship

The research about strategic human resource management (SHRM) has suggested that human resource professionals (HRPs) have the opportunity to play a greater role in contributing to organizational success if they are effective in developing systems and policies aligned with the organization??s values, goals, and mission. We suggest that HRPs need to raise the standard of their performance and that the competitive demands of the modern economic environment create implicit ethical duties that HRPs owe to their organizations. We define ethical stewardship as a model of governance that honors obligations due to the many stakeholders and that maximizes long-term organizational wealth creation. We propose that if HRPs adopt an ethical stewardship framework and the qualities of transformative leaders, they will be more aware of their ethical duties to their organizations and more effective in helping their organizations to create increased wealth, achieve desired organizational outcomes, and establish work environments that are more satisfying to employees.     

The joint influence of financial risk perception and risk tolerance on individual investment decision‐making

The increasing complexity of the investment environment has accelerated the need for better quality financial advice services. Central to quality advice is advisers’ accurate assessment of their clients’ risk characteristics. Typically a client's risk characteristic is assessed by measuring the client's risk tolerance but not risk perception. To assess whether this practice fails to fully capture the client's risk profile, we explore both risk tolerance and risk perception in the investment decision‐making context. Using Australian online survey data of financial adviser clients (n = 364), our results reveal that risk tolerance influences risky‐asset allocation directly and indirectly through risk perception. These results thus clarify the joint role of both risk constructs in the investment making decision and highlight the importance of assessing both in the provision of client financial advice services. Importantly, our results validate a new comprehensive risk perception measure applicable in the financial advice context.     

Stock market anomalies and baseball cards

Baseball cards exhibit anomalies that are analogous to those that are documented in financial markets, namely, momentum, price drift in the direction of past fundamental performance, and initial public offering (IPO) underperformance. Momentum is higher among active players than retired players, and among newer sets than older sets. Regarding IPO underperformance, we find that newly issued rookie cards underperform newly issued cards of veteran players, and that newly issued sets underperform older sets. The results are broadly consistent with models of slow information diffusion and short-selling constraints.