Project description:This data set contains rolling conditional correlation networks estimated from stock returns and the volume synchronized probability of informed trading. Only the largest 104 financial firms are included for the period of 1996 through 2012. The data was used to analyze banking sector systemic risk in Borochin and Rush (2022)[1].
Project description:Can finance contribute to seafood sustainability? This is an increasingly relevant question given the projected growth of seafood markets and the magnitude of social and environmental challenges associated with seafood production. As more capital enters the seafood industry, it becomes crucial that investments steer the sector toward improved sustainability, as opposed to fueling unsustainable working conditions and overexploitation of resources. Using a mixed-methods approach, we map where different financial mechanisms are most salient along a seafood firm's development trajectory and identify three leverage points that can redirect capital toward more sustainable practices: loan covenants, stock exchange listing rules, and shareholder activism. We argue that seafood sustainability requirements need to be integrated into traditional financial services and propose key research avenues for academic, policy, and practice communities. While our study focuses on the role of finance in seafood sustainability, the insights developed are also of high relevance to other extractive industries.
Project description:The primary aim of this paper is to provide fresh evidence by testing the linkage between renewable energy consumption, financial development, and external debts in Turkey, using the Bootstrap ARDL test (McNown et al. 2018). The Bootstrap ARDL test is desired over traditional co-integration tests due to its ability to predict when resolving power and size limitation issues, and its corresponding features, which have not been addressed by traditional co-integration tests. The ARDL testing model is employed to investigate the coefficients amongst the selected variables. The findings from the ARDL test illustrate that there is a positive linkage between renewable consumption and Turkey's financial development. Furthermore, the outcomes illustrate that the coefficient of external debt is negative and significant. The results indicate that policymakers in Turkey must use the growth of the financial sector to minimize environmental degradation by promoting investment in energy and production through renewable energy sources. Furthermore, the research suggested that Turkey's policy-makers should reformulate the external debt policy to reduce the negative influence of external debt on sustainable energy development. This could potentially be achieved by removing any restrictions on international capital flow or barriers on foreign capital and foreign investment. Hence, the findings of this paper provide valuable conclusions and recommendations for Turkey heading to sustainable and green financial sector.
Project description:This article covers comprehensive data on firm-level corporate governance practices as imposed by the Jordan Securities Commission (JSC). The study includes panel data for 95 non-financial Jordanian listed firms (industrial and service sector) in Amman Stock Exchange (ASE). The time frame used for this study is from 2012 to 2017. Data presented were extracted from the annual reports of each firm. The annual reports had been downloaded from the official website of the ASE. The data can be used easily by the researcher to develop and calculate a corporate governance index that involves thirty-two internal governance attributes and is comprised of three equally weighted sub-indices. The first sub-index which is "Disclosure and Transparency" consists of 15 unique attributes. While the second sub-index, "Board Effectiveness and Composition" consists of 9 unique attributes. The last sub-index which is "Shareholders Rights" consists of 8 unique attributes. Thus, the un-weighted corporate governance index has an important feature that is easily replicated and modified, enabling the researcher to rate firms based on an aggregate index score or by using the sub-indices score also.
Project description:This study empirically assesses the significance of financial sector development in determining the energy poverty of developing countries. The study utilizes a sample of 110 developing economies over a period ranging from 1990 to 2020. The analysis is based on the traditional econometric techniques comprising pooled OLS, fixed-effects, and random-effects and Driscoll and Kraay's robust standard error approach for pooled OLS, fixed effects, and random effects. To account for a possible endogeneity problem, the study also uses the system GMM model. Our empirical outcomes verify a positive role of financial sector development in alleviating energy poverty of the sample economies. The findings also provide a supportive role of output growth, foreign direct investment, and urbanization in helping accessibility to energy services. These outcomes have strong policy implications for developing economies.
Project description:The study aims to shed new lights on the lead-lag relationships between the financial sector (RFSI) and economic growth (GDP) in the midst of global economic policy uncertainty (GEPU) shocks for BRICS economies. Hence, the bivariate, partial, and wavelet multiple correlations techniques are employed. From the bivariate analysis, we document positive bi-directional causality between the RFSI and economic growth over the sample period. The partial wavelet reveals that GEPU shocks distort the significance and directional comovements between the RFSI and GDP. Moreover, the outcome from the wavelet multiple cross correlations (WMCC) indicates that the RFSI is a first mover at most time scales for the BRICS economies. This is followed by GEPU which either leads or lags for most scales, especially for South Africa. The impact of GEPU on RFSI and GDP is worst for South Africa in about four cases in the medium-, and long-terms. This signifies that South Africa's financial markets and economic growth are vulnerable to GEPU. However, the impetus for GEPU to drive the comovements between the financial sector and economic activity was less pronounced in the pre-COVID analysis conducted with the WMCC. The study supports both the supply-leading and demand-following hypotheses. Our findings also underscore the need for policymakers, investors and academics alike to incessantly observe the dynamics between finance and growth across time and periodicity while considering adverse shocks from global economic policy uncertainty in tandem.
Project description:What are the dominant stocks which drive the correlations present among stocks traded in a stock market? Can a correlation analysis provide an answer to this question? In the past, correlation based networks have been proposed as a tool to uncover the underlying backbone of the market. Correlation based networks represent the stocks and their relationships, which are then investigated using different network theory methodologies. Here we introduce a new concept to tackle the above question--the partial correlation network. Partial correlation is a measure of how the correlation between two variables, e.g., stock returns, is affected by a third variable. By using it we define a proxy of stock influence, which is then used to construct partial correlation networks. The empirical part of this study is performed on a specific financial system, namely the set of 300 highly capitalized stocks traded at the New York Stock Exchange, in the time period 2001-2003. By constructing the partial correlation network, unlike the case of standard correlation based networks, we find that stocks belonging to the financial sector and, in particular, to the investment services sub-sector, are the most influential stocks affecting the correlation profile of the system. Using a moving window analysis, we find that the strong influence of the financial stocks is conserved across time for the investigated trading period. Our findings shed a new light on the underlying mechanisms and driving forces controlling the correlation profile observed in a financial market.
Project description:BackgroundIn 2013, Zimbabwe's voluntary medical male circumcision (VMMC) program adopted performance-based financing (PBF) to speed progress towards ambitious VMMC targets. The $25 USD PBF intended to encourage low-paid healthcare workers to remain in the public sector and to strengthen the public healthcare system. The majority of the incentive supports healthcare workers (HCWs) who perform VMMC alongside other routine services; a small portion supports province, district, and facility levels.MethodsThis qualitative study assessed the effect of the PBF on HCW motivation, satisfaction, and professional relationships. The study objectives were to: 1) Gain understanding of the advantages and disadvantages of PBF at the HCW level; 2) Gain understanding of the advantages and disadvantages of PBF at the site level; and 3) Inform scale up, modification, or discontinuation of PBF for the national VMMC program. Sixteen focus groups were conducted: eight with HCWs who received PBF for VMMC and eight with HCWs in the same clinics who did not work in VMMC and, therefore, did not receive PBF. Fourteen key informant interviews ascertained administrator opinion.ResultsFindings suggest that PBF appreciably increased motivation among VMMC teams and helped improve facilities where VMMC services are provided. However, PBF appears to contribute to antagonism at the workplace, creating divisiveness that may reach beyond VMMC. PBF may also cause distortion in the healthcare system: HCWs prioritized incentivized VMMC services over other routine duties. To reduce workplace tension and improve the VMMC program, participants suggested increasing HCW training in VMMC to expand PBF beneficiaries and strengthening integration of VMMC services into routine care.ConclusionIn the low-resource, short-staffed context of Zimbabwe, PBF enabled rapid VMMC scale up and achievement of ambitious targets; however, side effects make PBF less advantageous and sustainable than envisioned. Careful consideration is warranted in choosing whether, and how, to implement PBF to prioritize a public health program.
Project description:The objective of this study is to explore the impact of working capital management on firms' financial performance in China's agri-food sector from 2006 to 2021. In addition, we analyze whether this impact is the same during the 2008 financial crisis and the 2020 COVID-19 crisis. Working capital management is measured by working capital investment policy (measured by current assets to total assets ratio), working capital financing policy (measured by current liabilities to total assets ratio), cash conversion cycle, and net working capital ratio. The results reveal that current assets to total assets ratio and net working capital ratio positively influence financial performance measured through return on assets (ROA), while current liabilities to total assets ratio and cash conversion cycle negatively influence ROA. We also find that the relationship between working capital management and financial performance is more affected during COVID-19 than in the 2008 financial crisis. The findings might provide important implications for company managers to make optimal working capital management practices, depending on the economic environment.
Project description:Population health improvements can be achieved through work made possible by government spending on health care, public health, and social services. The extent to which spending allocations across these sectors is synergistic with or trade-off against one another is unknown. Achieving a balanced portfolio with multi-sector contributions is key to improving health outcomes. This study tested competing hypotheses regarding achievement of balanced multi-sector resources for health. County-level U.S. Census Bureau data on all local governmental spending measured each county's average per capita local government spending for public hospitals, public health, social services, and education. American Hospital Association (AHA) Annual Survey data on hospital community health service provision were used to calculate an index of hospital community service provision aggregated to county level by year. County Health Rankings data measured each county's health outcomes and health factors. Longitudinal mixed-effects regression models (n = 1877 counties) predicted changes in spending for each government spending category based on two sets of predictors (government spending vs community health services and needs) from current and prior year. Models account for average spending in each category and county-, state-, and time-trends. Models showed that spending increases in each of the four spending categories examined (public hospitals, public health, social services, and education) were not associated with changes in spending across other categories in current or prior years. For all categories, an increase from baseline spending levels in Year 1 was always significantly associated with an increase from baseline spending level in that same category in Year 2 (ie, spending stayed above baseline in Year 2). Multi-sector initiatives to health outcomes require funding across sectors, yet there was little evidence to suggest that communities that invest in public hospitals, public health, or other social services see commensurate increases in other areas. Underlying funding decisions may reflect strategic decisions within a community to scale up single sectors, constrained resources for multi-sector scale up, or a host of additional factors not measured here.