Do intraday week effect in currencies hourly trading reflect leverage and asymmetric anomalies? Policy implications for traders

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wajid Shakeel Ahmed ◽  
Muhammad Sohaib ◽  
Jamal Maqsood ◽  
Ateeb Siddiqui
Keyword(s):  
Emerging Economies ◽  
Garch Model ◽  
Study Data ◽  
Policy Implications ◽  
Asymmetric Effect ◽  
Data Set ◽  
Content Type ◽  
Study Results ◽  
Rational Choices ◽  
Trading Pattern

Purpose The purpose of this study is to determine if intraday week (IDW) effect of the currencies reflect leverage and asymmetric impact in currencies market. The study data set comprises of intraday patterns of 15 currencies from developed and emerging economies. Design methodology approach The study applies the exponential generalized autoregressive conditional heteroscedasticity (E-GARCH) model technique to observe the IDW leverage and asymmetric effect after introducing hourly dummies variables, namely, IDWmon, IDWwed, IDWfrid and IDWfrid-mon. Findings The study results favor the propositions and confirm that IDW effect do exist in the international forex markets in relation to hourly trading pattern for respective currencies. Mostly, currencies do depreciate on Monday and Wednesday compared to the rest of the days. However, on the last trading day, i.e. Friday currencies observe an appreciation pattern which is for both economies. The results have an evidence of leverage and asymmetric effect confirmed by the E-GARCH model as a result of press releases and influence by micro-factors in the currency markets. Practical implications The study believes to have theoretical connection related to the better understanding of currencies trend for developed and emerging economies, as the IDW effect exists. Moreover, confirmation of both the leverage and asymmetric effect in observed currencies would be able to assist the investors in making rational choices during the trading hours and would confirm considerable profits through profit incentivized strategies. Originality value The study not only add knowledge to the previous study work in relation to the hourly trading pattern of currencies with reference to the IDW effects but also highlights the leverage and asymmetric effect in currencies that will help in formulating future trading strategies particular to emerging economies.

Ownership, risk-taking and performance of banks in emerging economies

2016 ◽  
Vol 8 (3) ◽  
pp. 282-297 ◽  
Author(s):  
Faizul Haque ◽  
Rehnuma Shahid
Keyword(s):  
Emerging Economies ◽  
Risk Taking ◽  
Default Risk ◽  
Set Covering ◽  
Bank Risk ◽  
Data Set ◽  
Content Type ◽  
Study Results ◽  
And Performance ◽  
The Impact

Purpose This paper examines the effect of ownership structure on bank risk-taking and performance in emerging economies by using India as a case study. Design/methodology/approach We use generalised method of moments (GMM) estimation technique to analyse an unbalanced panel data set covering 217 bank-year observations from 2008 to 2011. Findings Overall, our study results suggest that government ownership is positively associated with default risk and negatively related to bank profitability. Interestingly, we find foreign ownership having a positive effect on default risk and a negative effect on profitability among the listed commercial banks. The effect of ownership concentration on bank risk-taking and profitability appears to be statistically insignificant. Originality/value This study is among the first to consider the impact of ownership on bank risk-taking and profitability from an emerging economy perspective. It also addresses the problem of endogenous relationships among ownership, risk-taking and performance of a bank. This study is likely to have implications for policymakers in undertaking regulatory reforms relating to ownership, risk management and banking sector stability.

Different firm responses to the COVID-19 pandemic shocks: machine-learning evidence on the Vietnamese labor market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lam Hoang Viet Le ◽  
Toan Luu Duc Huynh ◽  
Bryan S. Weber ◽  
Bao Khac Quoc Nguyen
Keyword(s):  
Machine Learning ◽  
Labor Market ◽  
Large Scale ◽  
Government Support ◽  
Policy Implications ◽  
Machine Learning Techniques ◽  
Firm Characteristics ◽  
Data Set ◽  
Content Type ◽  
Firm Responses

PurposeThis paper aims to identify the disproportionate impacts of the COVID-19 pandemic on labor markets.Design/methodology/approachThe authors conduct a large-scale survey on 16,000 firms from 82 industries in Ho Chi Minh City, Vietnam, and analyze the data set by using different machine-learning methods.FindingsFirst, job loss and reduction in state-owned enterprises have been significantly larger than in other types of organizations. Second, employees of foreign direct investment enterprises suffer a significantly lower labor income than those of other groups. Third, the adverse effects of the COVID-19 pandemic on the labor market are heterogeneous across industries and geographies. Finally, firms with high revenue in 2019 are more likely to adopt preventive measures, including the reduction of labor forces. The authors also find a significant correlation between firms' revenue and labor reduction as traditional econometrics and machine-learning techniques suggest.Originality/valueThis study has two main policy implications. First, although government support through taxes has been provided, the authors highlight evidence that there may be some additional benefit from targeting firms that have characteristics associated with layoffs or other negative labor responses. Second, the authors provide information that shows which firm characteristics are associated with particular labor market responses such as layoffs, which may help target stimulus packages. Although the COVID-19 pandemic affects most industries and occupations, heterogeneous firm responses suggest that there could be several varieties of targeted policies-targeting firms that are likely to reduce labor forces or firms likely to face reduced revenue. In this paper, the authors outline several industries and firm characteristics which appear to more directly be reducing employee counts or having negative labor responses which may lead to more cost–effect stimulus.

Financial literacy and its determinants: the case of rural farm households in Ghana

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Martinson Ankrah Twumasi ◽  
Yuansheng Jiang ◽  
Salina Adhikari ◽  
Caven Adu Gyamfi ◽  
Isaac Asare
Keyword(s):  
Developing Countries ◽  
Financial Literacy ◽  
Financial Education ◽  
Policy Implications ◽  
Farm Households ◽  
Community Group ◽  
Data Set ◽  
Content Type ◽  
Wide Range ◽  
Rural Dwellers

PurposeThis paper aims to examine the determinants of rural dwellers financial literacy in Ghana.Design/methodology/approachA cross-sectional primary data set was used to estimate the factors influencing rural farm households' financial literacy using the IV-Tobit model.FindingsThe findings reveal that most rural residents are financially illiterate. The econometrics model results depicted that respondents' socioeconomic and demographic characteristics such as gender, income, age and education significantly affect financial literacy. Again, respondents who are risk seekers and listen or watch education programs are more likely to be financially literate.Research limitations/implicationsThe paper examined the determinants of rural dwellers financial literacy in four regions in Ghana. Future research should consider all or many regions for an informed generalization of findings.Practical implicationsThis paper provides evidence that rural dwellers are financially illiterate and it would require the policymakers or non-governmental organizations (NGOs) to establish a village or community group that comprises a wide range of bankers and government officials to help rural dwellers acquire some financial skills. Also, the positive relationship between media (whether respondent watches or listens to educational programs) and financial literacy implies that policymakers should focus on improving individuals' financial knowledge through training programs and utilize the media as a channel to propagate financial education to the public.Originality/valueAlthough previous studies have examined the determinants of financial literacy, little is known in developing countries and, in particular, rural communities. The authors fill this gap by contributing to the scanty existing literature in developing countries in several ways. First, this is the first study to examine the financial literacy level of rural dwellers in Ghana. Second, to not undermine the credibility of the estimation results, this study addresses the potential endogeneity issue, which other researchers have not adequately recognized. Finally, the study expands the scant literature on the subject and provides critical policy implications that will help policymakers formulate financial market policies that will contribute to rural dwellers financial literacy enhancement.

How firms borrow in international bond markets

2018 ◽  
Vol 26 (1) ◽  
pp. 135-169
Author(s):  
Alberto Fuertes ◽  
Jose María Serena
Keyword(s):  
Emerging Economies ◽  
Design Methodology ◽  
Choice Behavior ◽  
Global Financial Crisis ◽  
Securities And Exchange Commission ◽  
Bond Markets ◽  
Data Set ◽  
Content Type ◽  
Parametric Analyses ◽  
The Global Financial Crisis

Purpose This paper aims to investigate how firms from emerging economies choose among different international bond markets: global, US144A and Eurobond markets. The authors explore if the ranking in regulatory stringency –global bonds have the most stringent regulations and Eurobonds have the most lenient regulations – leads to a segmentation of borrowers. Design/methodology/approach The authors use a novel data set from emerging economy firms, treating them as consolidated entities. The authors also obtain descriptive evidence and perform univariate non-parametric analyses, conditional and multinomial logit analyses to study firms’ marginal debt choice decisions. Findings The authors show that firms with poorer credit quality, less ability to absorb flotation costs and more informational asymmetries issue debt in US144A and Eurobond markets. On the contrary, firms issuing global bonds – subject to full Securities and Exchange Commission requirements – are financially sounder and larger. This exercise also shows that following the global crisis, firms from emerging economies are more likely to tap less regulated debt markets. Originality/value This is, to the authors’ knowledge, the first study that examines if the ranking in stringency of regulation – global bonds have the most stringent regulations and Eurobonds have the most lenient regulations – is consistent with an ordinal choice by firms. The authors also explore if this ranking is monotonic in all determinants or there are firm-specific features which make firms unlikely to borrow in a given market. Finally, the authors analyze if there are any changes in the debt-choice behavior of firms after the global financial crisis.

scholarly journals Ownership feature and firm performance via corporate innovation performance

2018 ◽  
Vol 25 (2) ◽  
pp. 239-250 ◽  
Author(s):  
Dung Nguyen ◽  
Hoai Nguyen ◽  
Kien S. Nguyen
Keyword(s):  
Firm Performance ◽  
Positive Impact ◽  
Policy Implications ◽  
Ownership Concentration ◽  
Likelihood Method ◽  
Sales Growth ◽  
Reverse Causality ◽  
Data Set ◽  
Content Type ◽  
Cmp Model

Purpose The purpose of this paper is to investigate the simultaneous relationship among ownership concentration, innovation and firm performance of the small- and medium-sized enterprises (SMEs) in Vietnam during the 2011–2015. By employing a Conditional Mixed Process (CMP) model, the findings show that: there is no impact of ownership concentration on innovation, but it has a positive impact on sales growth; innovation positively affects firm performance; and there exists a positively reverse causality from sales growth to innovation. Design/methodology/approach In this study, the authors propose the adaption of CMP model (Roodman, 2011). The nature of the first stage dependent variable – Innovation – is a binary one while the dependent variable Performance is continuous. Therefore, a model that can adapt the binary nature of the dependent variable and perform the estimation of a system of equations such as CMP model is preferred. The CMP framework is substantially that of seemingly unrelated regression, but with application in a larger scope. This approach is based on a “simulated maximum likelihood method” suggested by Geweke–Hajivassiliou–Keane algorithm. Findings By applying CMP method, this study examines the simultaneous relationship among ownership concentration, innovation and firm performance of the SMEs in Vietnam from 2011 to 2015. The findings indicate that: there is no impact of ownership concentration on innovation, but it has a positive impact on sales growth; innovation positively affects firm performance; and there exists a positively reverse causality from sales growth to innovation. Research limitations/implications In spite of the efforts to explore the simultaneous relationship among ownership concentration, innovation and firm performance of the SMEs in Vietnam, the study still has some limitations which are promising further research directions. First, the SME surveys by Central Institute for Economic Management do not have much information about other types of ownership including state-owned and foreign ownership. Therefore, possible further studies with richer data sets may explore the impacts of different types of ownership on firm innovation and performance. Second, other types of innovation such as organizational innovation, marketing innovation can also be investigated in further studies in a richer data set for the case of Vietnam SMEs. Originality/value The findings show that: there is no impact of ownership concentration on innovation, but it has a positive impact on sales growth; innovation positively affects firm performance; and there exists a positively reverse causality from sales growth to innovation. The policy implications insist on facilitating SMEs with easier access to capital via loans with preferred interest or trust loans without collateral, training programs for the labor force and SME leaders, and reduction of unnecessary administrative procedure.

Implementing strategic responses in the COVID-19 market crisis: a study of small and medium enterprises (SMEs) in India

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guydeuk Yeon ◽  
Paul C. Hong ◽  
Elangovan N. ◽  
Divakar G. M.
Keyword(s):  
Emerging Economies ◽  
Management Practices ◽  
Small And Medium Enterprises ◽  
Performance Outcomes ◽  
Future Research ◽  
Strategic Responses ◽  
Content Type ◽  
Study Results ◽  
Medium Enterprises

Purpose The COVID-19 pandemic presents unprecedented challenges for small and medium enterprises (SMEs) in emerging economies. This paper aims to examine how India's SMEs implement their strategic responses in this crisis. Design/methodology/approach The study uses dynamic capability theory to explore the strategic responses of SMEs. Strategy implementation theory helps to explain how they implement innovative practices for outcomes. A research model defines the COVID-19 challenges, strategic responses and performance outcomes. The study reports the findings of an initial pilot study of 75 firms and follow-up case study results in the context of COVID-19. Findings Firms choose their approaches according to their perceived market risks. Case studies illustrate that firms display diverse attitudes depending on their strategic direction, leadership vision and organizational culture. They achieve different outcomes by implementing specific styles of risk management practices (e.g. risk-averting, risk-taking and risk-thriving). Research limitations/implications Although the study context is Indian SMEs, the findings suggest meaningful lessons for other emerging economies in similar crisis events. The propositions may be extended to future research in broad contexts. Practical implications Even in the extraordinary COVID-19 market crisis, SMEs with limited resources display their strategic potential by recognizing their unique capabilities, translating them into effective actions and achieving desirable outcomes. Social implications In the COVID-19 pandemic, top leaders' mental attitude, strategic perspective and routine practices are contagious. Positive leadership motivates both internal and external stakeholders with an enormous level of collaboration. Originality/value This rare study of Indian SMEs provides a theoretical framework for designing a pilot survey and conducting a case study of multiple firms. Based on these findings, testable propositions are articulated for future research in diverse organizational and national contexts.

Uncertainty about Federal Reserve Policy and its Transmission to Emerging Economies

2019 ◽  
pp. 41-65
Author(s):  
Peter Tillmann
Keyword(s):  
Monetary Policy ◽  
Emerging Economies ◽  
Federal Reserve ◽  
Policy Decision ◽  
The United States ◽  
Policy Implications ◽  
Policy Uncertainty ◽  
Transmission Channel ◽  
Data Set ◽  
Policy Transmission

It is well known that a tightening or easing of the United States’ monetary policy affects financial markets in emerging economies. This chapter argues that uncertainty about future monetary policy is a separate transmission channel. We focus on the taper tantrum episode in 2013, a period with an elevated uncertainty about monetary policy, and use a data set that contains 90,000 Twitter messages on Federal Reserve tapering. Based on this data set, we construct a new index about monetary policy uncertainty using a list of uncertainty keywords. An advantage of this index is that it reflects uncertainty about a specific policy decision. An estimated vector autoregression (VAR) shows that uncertainty shocks lead to a fall in asset prices and a depreciation of local currencies. We also discuss the policy implications of this uncertainty channel of monetary policy transmission.

scholarly journals Characteristics of water containers influencing the presence of Aedes immatures in an ecotourism area of Bang Kachao Riverbend, Thailand

2019 ◽  
Vol 33 (5) ◽  
pp. 398-407
Author(s):  
Pathavee Waewwab ◽  
Sungsit Sungvornyothin ◽  
Kamolnetr Okanurak ◽  
Ngamphol Soonthornworasiri ◽  
Rutcharin Potiwat ◽  
...  
Keyword(s):  
Vector Control ◽  
Chemical Properties ◽  
Control Program ◽  
Cross Sectional Study ◽  
Study Data ◽  
Tourist Attraction ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Content Type ◽  
Study Results

Purpose The purpose of this paper is to investigate the influence of breeding containers on the production of Aedes mosquitoes after a vector-control program in households that might support dengue transmission in tourist attraction areas of Bang Kachao Riverbend, Thailand. Design/methodology/approach A cross-sectional study was conducted in an ecotourism area of Bang Kachao Riverbend, Thailand, during the period October 2016 to September 2017. A total of 832 households from five villages participated in the study. Data collection employed an interview questionnaire, larval mosquito survey and measurements of the chemical properties of the water in each container. A binary logistic regression model was used to investigate the characteristics of water containers influencing the presence or absence of Aedes immatures. Findings The study found that water containers located inside households had a highly presence of Aedes immatures (2.22 times) compared with outdoor containers. Water containers without lids and water containers with ineffective had a high presence of Aedes immatures (3.69 and 2.54 times, respectively). In addition, the chemical properties of the water inside the containers, such as pH, influenced the presence of Aedes immatures (1.76 times) (OR=1.76, 95% CI=1.59–1.96). Originality/value The study results emphasized the characteristics of water containers in households located in a tourist attraction area. The findings may inform public health vector-control messages for households located in the tourist attraction area.

scholarly journals The day-of-the-week effect: South African stock market indices

2018 ◽  
Vol 9 (2) ◽  
pp. 197-212 ◽  
Author(s):  
Elda du Toit ◽  
John Henry Hall ◽  
Rudra Prakash Pradhan
Keyword(s):  
South African ◽  
Stock Exchange ◽  
Garch Model ◽  
Statistical Technique ◽  
Data Set ◽  
Content Type ◽  
Johannesburg Stock Exchange ◽  
Time Period ◽  
Day Of The Week ◽  
Micro Level

Purpose The presence of a day-of-the-week effect has been investigated by many researchers over many years, using a variety of financial data and methods. However, differences in methodology between studies could have led to conflicting results. The purpose of this paper is to expand on an existing study to observe whether an analysis of the same data set with some added years and using a different statistical technique provide the same results. Design/methodology/approach The study examines the presence of a day-of-the-week effect on the Johannesburg Stock Exchange (JSE) indices for the period March 1995-2016, using a GARCH model. Findings The findings show that, contrary to the original study, the day-of-the week effect is present in both volatility and return equations. The highest and lowest returns are observed on Monday and Friday, respectively, while volatility is observed on all five days from Monday to Friday. Originality/value This study adds to the existing literature on day-of-the-week effect of JSE indices, where different patterns or, in some cases, no pattern have been noted. Few previous studies on the day-of-the-week effect observed the effect at micro-level for separate industries or made use of a GARCH model. The present study thus expands on the study of Mbululu and Chipeta (2012), by adding four additional observation years and using a different statistical technique, to observe differences that arise from a different time period and statistical technique. The results indicate that a day-of-the-week effect is mostly a function of the statistical technique applied.

Financial development, human capital and its impact on economic growth of emerging countries

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aaqib Sarwar ◽  
Muhammad Asif Khan ◽  
Zahid Sarwar ◽  
Wajid Khan
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Financial Development ◽  
Emerging Economies ◽  
Generalized Method Of Moments ◽  
Emerging Countries ◽  
Data Set ◽  
Content Type ◽  
The World ◽  
The Impact

Purpose This paper aims to investigate the critical aspect of financial development, human capital and their interactive term on economic growth from the perspective of emerging economies. Design/methodology/approach Data set ranged from 2002 to 2017 of 83 emerging countries used in this research and collected from world development indicators of the World Bank. The two-step system generalized method of moments is used to conduct this research within the endogenous growth model while controlling time and country-specific effects. Findings The findings of the study indicate that financial development has a positive and significant effect on economic growth. In emerging countries, human capital also has a positive impact on economic growth. Financial development and human capital interactively affect economic growth for emerging economies positively and significantly. Research limitations/implications The data set is limited to 83 emerging countries of the world. The time period for the study is 2002 to 2017. Originality/value This research contributes to the existing literature on human capital, financial development and economic growth. Limited research has been conducted on the impact of financial development and human capital on economic growth.

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