Microstructures,financial reforms and informational efficiency in an emerging market

This paper investigates the effects of microstructures and financial reforms on time-varying informational efficiency in an emerging equity market setting. Our data comprises of firm level data from the Trinidad and Tobago Stock Exchange, over the period 1990–2013. Using a dynamic panel regression framework while controlling for firm size, we find that microstructures, specifically liquidity, volatility, automation and the number of shareholders have an important role in influencing the time-varying efficiency of this emerging market. The financial reforms, namely liberalisation and regulation are not found to have a notable influence. We also consider heterogeneity at the firm level, finding that the microstructures of the banking firms listed in this market have a greater impact on market efficiency, in relation to the other listed firms.     

Spillovers between sovereign CDS and exchange rate markets: The role of market fear

As important variables in financial market, sovereign credit default swaps (CDS) and exchange rate have correlations and spillovers. And the volatility spillovers between the two markets become further complicated with the effect of market fear caused by extreme events such as global pandemic. This paper attempts to explore the complex interactions within the “sovereign CDS-exchange rate” system by adopting the forecast error variance decomposition method. The results show that there is a relatively close linkage between the two markets and the total spillover index of the system is dynamic. For most of the past, the exchange rate has a higher spillover effect on the sovereign CDS than vice versa. Moreover, after the market fear variables are introduced, the “sovereign CDS-exchange rate” system and market fear variables present bidirectional spillovers. The results of the study have particular significance for maintaining the financial stability and preventing risk contagion between markets.     

Is exchange rate risk priced in microfinance?

High microcredit interest rates have often been a source of criticism against the microfinance movement. Research has focused attention on the cost structure of interest rates and more recently on the macroeconomic and macro-institutional factors. While cost structure is probably the most important determinant of interest rates, other factors can also matter. This paper uses an innovative measure of foreign exchange risk to explore its impact on microcredit interest rates. We show that microfinance institutions that operate in countries with fixed exchange rate regimes tend to charge lower interest rates than those operating in countries with floating exchange rate regimes.     

Developments in accounting regulation: A synthesis and annotated bibliography of evidence and commentary in the 2016 academic literature

In this paper key regulation-related findings and commentaries in the 2016 academic literature are synthesized in annotated form. This paper is one in a series of previously published annotated bibliographies published in this journal. Papers published in academic outlets including The Accounting Review, Journal of Accounting Research, Journal of Accounting and Economics, Contemporary Accounting Research, Accounting Horizons, The Journal of Accounting, Auditing & Finance, Journal of Accounting and Public Policy, Journal of Business, Finance & Accounting, The Journal of Financial Reporting, Auditing A Journal of Practice and Theory, and Research in Accounting Regulation were reviewed for potential inclusion. The 2016 literature featured strong regulation-related threads as follows: financial accounting regulation, analysis of individual pronouncements, SEC regulatory activity and its impact, international financial reporting standards, income tax reporting, and auditing.     

Trading off learning and performance: Exploration and exploitation at work

Employees are increasingly given control over how they learn, and their choices for training are diverse and varied, yet employees must balance competing demands. On one hand, they are expected to be increasingly efficient in their current job duties – on the other hand, they are expected to develop new skills and competencies that enable them to adapt and respond to changing job demands. Drawing from the organizational learning literature, we propose a model of worker and work characteristics that inform choices between two mindsets related to learning at work. The first mindset is exploration, or the pursuit of learning outside one’s current knowledge domain; the second mindset is exploitation, the refinement/deepening of one’s existing knowledge stock focusing on the task at hand. We further propose that these strategic choices, or trade-offs, influence employee learning and performance in unique ways, with different implications for both routine and adaptive performance. Finally, we incorporate the notions of feedback loops and risk assessments that influence ongoing decisions between exploration and exploitation mindsets. Recommendations for future research and extensions of the theoretical model are also proposed.     

A new multiscale decomposition ensemble approach for forecasting exchange rates

Due to the high complexity and strong nonlinearity nature of foreign exchange rates, how to forecast foreign exchange rate accurately is regarded as a challenging research topic. Therefore, developing highly accurate forecasting method is of great significance to investors and policy makers. A new multiscale decomposition ensemble approach to forecast foreign exchange rates is proposed in this paper. In the approach, the variational mode decomposition (VMD) method is utilized to divide foreign exchange rates into a finite number of subcomponents; the support vector neural network (SVNN) technique is used to model and forecast each subcomponent respectively; another SVNN technique is utilized to integrate the forecasting results of each subcomponent to generate the final forecast results. To verify the superiority of the proposed approach, four major exchange rates were chosen for model comparison and evaluation. The experimental results indicate that our proposed VMD-SVNN-SVNN multiscale decomposition ensemble approach outperforms some other benchmarks in terms of forecasting accuracy and statistical tests. This demonstrates that our proposed VMD-SVNN-SVNN multiscale decomposition ensemble approach is promising for forecasting foreign exchange rates.     

Using segmentation to compete in the age of the sharing economy: Testing a core-periphery framework

Airbnb has emerged as a credible competitive threat to the hotel industry. Consequently, hotel brands are having to rethink the experiences they provide to customer in an increasingly competitive environment. Despite these trends in the industry, experience-related research that examines and informs these developments remains under-represented in the hospitality and tourism literature. The present study offers a systematic approach to examine the potential differences in experiential consumption in the accommodations industry. Using a multiple-group analysis approach, it examines the moderating effects of individual characteristics and situational factors on the nature and dynamics of experiential consumption in the accommodations industry. The findings of the study culminate in the core-periphery framework of the hospitality consumption experience that can provide a relevant theoretical lens for future research into the different sectors and types of experiences within the hospitality and tourism industry. The study also outlines important implications for the hotel industry’s strategic experience design initiatives, from the standpoint of product development, the segmentation, targeting and positioning (STP) process, and marketing communications.     

Exchange rate dynamics and US dollar-denominated sovereign bond prices in emerging markets

Using data on Brazil, Colombia, Mexico, the Philippines, Russia and Turkey, our empirical results show that the exchange rates of their currencies have adequate explanatory power in explaining their US dollar-denominated sovereign bonds, particularly in the post-global financial crisis period. We develop a two-factor pricing model with closed-form solutions for the sovereign bonds in which the correlated factors are foreign exchange rates and US risk-free interest rates that follow a double square-root process relevant in the low interest rate environment. The numerical results and associated error analysis show that the model credit spreads can broadly track the market credit spreads.     

Gender and herding

This study uses a unique dataset from a large anonymous brokerage firm to examine the herding behavior of Chinese individual investors. The empirical evidence reveals that females are more inclined to follow the behavior of ‘same-sex’ investors. Market conditions and stock characteristics affect females and males similarly in that individual investors herd more intensively in the bull market, on stocks with better liquidity and larger market capitalization. We find female investors generally yield lower returns than males when they herd intensively, and this finding is more pronounced during a bull-market period. Outcomes from individual-level herding measurements suggest that portfolio turnover drives the difference in herding between genders.     

A gramscian perspective on field dynamics. The case of the privatization of Italian steel industry

Institutional fields are not static, they undergo times of fragmentation and times of settlement. Neo-institutional research has long explained the settlement of fields as either the effect of political manoeuvring of actors, or of discursive activity influencing cultural codes, narratives and symbols. But can these processes really be considered in isolation? In this paper, we propose to adopt a comprehensive view on fields’ dynamics, one that embraces the interaction of political and discursive manoeuvring to explain how fragmented fields manage to settle. To do so, we build on the Gramscian concept of hegemonic practices as discursive and political processes that integrate cultural equivalence among actors with political alliances based on aligned interests. Hegemonic practices align actors in a new historical bloc (a new settlement). Through this lens, we interpret the case of the Italian State steel privatization (1984–1995) and propose a process model explaining what yields fields’ dynamics from fragmentation to settlement. The model highlights the action of diffused agency in field dynamics, thus overcoming the obsolete challenger/incumbent view, and the need of becoming a historical bloc for alliances to stabilize a field.