Tag: Financial Modelling Award

Issoufou Ouédraogo | Econometrics and Finance | Best Researcher Award

Published on by World Science Awards

Best Researcher Award

Issoufou Ouédraogo 

Issoufou Ouédraogo
Affiliation Albany Medical College
Country Burkina Faso
Scopus ID 58990678000
Documents 1
Citations 1
h-index 1
Subject Area Econometrics and Finance
Event World Science Awards

Issoufou Ouédraogo is the subject of this academic recognition profile, prepared in connection with the Best Researcher Award category associated with World Science Awards. The supplied profile identifies Albany Medical College as the institutional affiliation and Econometrics and Finance as the subject area. The Scopus author identifier provides a direct route to the researcher’s indexed author record for further verification of publications and bibliometric information. [1]

Abstract

This article presents an academic recognition profile for Issoufou Ouédraogo in relation to the Best Researcher Award category at World Science Awards. The profile records the supplied institutional affiliation, country, research subject area and Scopus author identifier. It also outlines the types of evidence that can be used to assess research contributions, including scholarly publications, citation records, methodological rigor, originality, reproducibility and broader academic relevance. Quantitative performance indicators and verified publication details have not been supplied for this profile and are therefore not estimated. The article should be read as a structured recognition profile rather than an independently verified award decision. [1] [2]

Keywords

Issoufou Ouédraogo; Best Researcher Award; World Science Awards; Albany Medical College; Econometrics and Finance; research assessment; scholarly publications; citation analysis; academic recognition; bibliometrics.

Introduction

Academic recognition programmes provide a framework for highlighting research achievements and encouraging the dissemination of scholarly knowledge. A credible assessment of a researcher typically considers the quality and relevance of published work, the contribution made to a field, methodological standards, research integrity and the influence of findings on subsequent scholarship. Bibliometric indicators can complement qualitative review, but they should not be interpreted as a complete measure of research quality. [2] [3]

This profile organizes the available information about Issoufou Ouédraogo in a format suitable for an academic recognition page. The supplied information associates the profile with Albany Medical College and the subject area of Econometrics and Finance. Those details are reproduced as provided; the underlying institutional relationship and disciplinary classification should be confirmed against authoritative records before publication as independently verified facts.

Research Profile

The supplied subject classification for this profile is Econometrics and Finance. Econometrics applies statistical and mathematical methods to economic and financial data, including the estimation of relationships, evaluation of hypotheses, forecasting and analysis of uncertainty. Research in finance may address financial markets, investment decisions, risk, asset pricing, corporate finance and the behavior of financial institutions. These are general characteristics of the subject area and should not be interpreted as a definitive description of the researcher’s individual projects or expertise.

A complete researcher profile would normally document specific research questions, methods, co-authorships, publication venues, grants, datasets and scholarly outputs. The Scopus author identifier supplied for Issoufou Ouédraogo is 58990678000. The corresponding author page is the appropriate starting point for checking indexed documents, citation information and possible changes to the record over time. [1]

Research Contributions

Specific research contributions cannot be established from the supplied identity and affiliation details alone. A substantiated account should identify individual publications and explain their research questions, analytical approaches, principal findings and relationship to prior literature. In econometrics and finance, relevant contributions may include new estimation techniques, robust empirical evidence, improved forecasting approaches, reproducible analytical frameworks or findings that inform financial and economic decision-making. These are examples of possible contributions in the field, not claims about the work of Issoufou Ouédraogo.

For an evidence-based profile, each claimed contribution should be connected to a verifiable publication, DOI, institutional repository record or other primary scholarly source. Assessment should also distinguish between work led by the researcher and collaborative contributions, with appropriate consideration of disciplinary authorship practices and the researcher’s documented role. [3] [4]

Publications

No publication titles, journal details, document counts or DOI identifiers were included in the supplied information. Consequently, this article does not list unverified publications or attribute particular findings to the researcher. The linked Scopus author record can be consulted to review the indexed document list and determine whether each result corresponds to the intended author. [1]

Before a publication list is added, each entry should be checked for title, author order, year, journal or proceedings title, volume, issue, page range or article number, and DOI where available. Author-name variants and duplicate records should be examined carefully to reduce the risk of attributing another researcher’s work to this profile. DOI links should resolve to the relevant scholarly record and should not be generated from incomplete or unverified metadata.

Research Impact

Research impact can be examined through a combination of quantitative and qualitative evidence. Quantitative measures may include publication output, citation counts, field-normalized citation indicators and collaboration patterns. Qualitative evidence may include the originality of research questions, methodological reliability, openness of data and code, contribution to scholarly debate, influence on policy or practice, and the development of research capacity. Responsible research assessment recommends avoiding reliance on a single metric when judging the quality or significance of an individual’s work. [2] [3]

The publication count, total citations and h-index for Issoufou Ouédraogo have not been provided in the available input. These values are therefore marked as unavailable rather than estimated. If added later, bibliometric figures should include the database used and the date of retrieval because coverage, author disambiguation and citation counts can change over time.

Award Suitability

The Best Researcher Award category provides a context for presenting research achievements and scholarly contributions. The information supplied for this profile establishes the intended award category, the event name, the stated institutional affiliation, the country and the Scopus author identifier. These details provide a starting point for profile identification but are not, by themselves, sufficient evidence to determine award eligibility, research excellence or comparative standing.

A balanced assessment should examine the relevance and quality of the candidate’s publications, originality, methodological rigor, documented individual contribution, research integrity, scholarly influence and alignment with the award’s published criteria. Bibliometric indicators can provide supporting context but should be interpreted alongside field-specific practices and the substance of the work. [2] [3]

On the information currently available, a definitive recommendation or award outcome cannot be substantiated. A final suitability assessment would require verified publication records, relevant research evidence, applicable eligibility requirements and confirmation of the award’s official evaluation procedure. Inclusion in this profile should not be interpreted as confirmation that the researcher has received the award.

Conclusion

This article provides a structured academic recognition profile for Issoufou Ouédraogo in connection with the Best Researcher Award category associated with World Science Awards. It records the supplied institutional affiliation, country, subject area and Scopus identifier while outlining appropriate approaches to documenting publications, evaluating research impact and assessing award suitability. Publication-level evidence and bibliometric indicators remain unavailable in the supplied information and have not been invented. Verification of the researcher record, supporting scholarly outputs and official award criteria is recommended before making definitive statements about research achievements or award status.

References

  1. Elsevier. (n.d.). Scopus author details: Issoufou Ouédraogo, Author ID 58990678000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58990678000
  2. Hicks, D., Wouters, P., Waltman, L., de Rijcke, S., & Rafols, I. (2015). Bibliometrics: The Leiden Manifesto for research metrics. Nature, 520, 429–431.
    DOI: https://doi.org/10.1038/520429a
  3. San Francisco Declaration on Research Assessment (DORA). (2012; subsequent updates available). Declaration on Research Assessment.
    https://sfdora.org/read/
  4. World Science Awards. (n.d.). Official award website.
    https://shen.sciencefather.com/

Everaldo GUEDES | Econometrics and Finance | Best Researcher Award

Published on by World Science Awards

Prof. Dr. Everaldo GUEDES | Econometrics and Finance | Best Researcher Award

Professor from FIOCRUZ, Brazil

Dr. Everaldo Freitas Guedes is a distinguished Brazilian statistician and data scientist with a robust academic and professional background. He earned his Ph.D. and Master’s degrees in Computational Modeling and Industrial Technology from SENAI CIMATEC, following a Bachelor’s degree in Statistical Sciences from the Higher School of Statistics of Bahia and a Licentiate in Mathematics from the Faculty of Educational Sciences. Dr. Guedes has held various academic positions, including roles as a substitute professor at the Federal University of Recôncavo da Bahia and as a visiting professor at UNIASSELVI. In the public sector, he serves as an Administrative Analyst specializing in statistics at the Brazilian Company of Hospital Services (EBSERH). His research interests encompass time series analysis, data mining, machine learning, and computational statistics, with applications across finance, climatology, and healthcare. Dr. Guedes has contributed to the development of statistical methodologies, such as the Detrended Multiple Cross-Correlation Analysis (DMC) and the GMZTests R package. His work has been published in reputable journals and presented at various conferences, reflecting his commitment to advancing statistical science and its practical applications.

Professional Profile

Education

Dr. Guedes’s educational journey reflects a strong foundation in statistics and mathematics. He completed his Bachelor’s degree in Statistical Sciences at the Higher School of Statistics of Bahia (2004–2007), providing him with essential skills in data analysis and interpretation. Pursuing his passion for mathematics, he obtained a Licentiate in Mathematics from the Faculty of Educational Sciences (2007–2009), equipping him with pedagogical skills for teaching complex mathematical concepts. His academic pursuits culminated in a Master’s (2011–2014) and a Ph.D. (2012–2020) in Computational Modeling and Industrial Technology at SENAI CIMATEC. His doctoral research focused on the behavior of industrial production, employing advanced time series analysis techniques. Throughout his academic career, Dr. Guedes has demonstrated a commitment to interdisciplinary learning, integrating statistical theory with practical applications in industrial and technological contexts.

Professional Experience

Dr. Guedes has amassed extensive professional experience in both academic and public sectors. In academia, he has served as a substitute professor at the Federal University of Recôncavo da Bahia, teaching courses such as Algebra, Calculus, and Mathematics for Biology. He has also been a visiting professor at UNIASSELVI, contributing to the education of future statisticians and data scientists. In the public sector, Dr. Guedes holds the position of Administrative Analyst specializing in statistics at the Brazilian Company of Hospital Services (EBSERH), where he develops dashboards using Power BI and compiles statistical reports for maternity services. His professional roles have allowed him to apply his statistical expertise to real-world problems, bridging the gap between theoretical research and practical implementation. Additionally, his involvement in various educational institutions underscores his dedication to knowledge dissemination and capacity building in statistical sciences.

Research Interests

Dr. Guedes’s research interests are centered on the application of statistical methods to complex systems. He specializes in time series analysis, focusing on techniques like Detrended Fluctuation Analysis (DFA) and Detrended Cross-Correlation Analysis (DCCA) to study long-range dependencies in data. His work extends to data mining and machine learning, where he explores patterns in large datasets to inform decision-making processes. Dr. Guedes has applied these methodologies across various domains, including financial markets, climatology, and healthcare. Notably, he has investigated the interdependence of stock market indices using advanced cross-correlation techniques and analyzed climatic variables to understand environmental changes. His interdisciplinary approach demonstrates the versatility of statistical tools in addressing diverse scientific questions.

Research Skills

Dr. Guedes possesses a comprehensive skill set in statistical analysis and computational modeling. He is proficient in programming languages such as R and Python, utilizing them for data analysis, visualization, and the development of statistical packages. His expertise includes the creation of the GMZTests R package, which offers a suite of statistical tests for time series analysis. Dr. Guedes is adept at employing machine learning algorithms for predictive modeling and has experience with big data tools like PySpark. His skills extend to the development of interactive dashboards using Power BI, facilitating data-driven decision-making in organizational settings. Through continuous professional development, including courses on deep learning and data science, Dr. Guedes stays abreast of emerging technologies and methodologies in the field.

Awards and Honors

Throughout his career, Dr. Guedes has been recognized for his contributions to statistical science. He received a doctoral scholarship from the Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB), supporting his research in computational modeling. His scholarly work has garnered citations in academic publications, reflecting the impact of his research on the scientific community. Dr. Guedes’s commitment to excellence is further evidenced by his participation in professional development programs and certifications, including Lean Six Sigma and data science courses. These accolades underscore his dedication to advancing statistical methodologies and their practical applications.

Conclusion

Dr. Everaldo Freitas Guedes exemplifies the integration of rigorous academic training with practical experience in statistical analysis and data science. His educational background lays a solid foundation for his multifaceted career, encompassing teaching, research, and public service. Dr. Guedes’s research endeavors demonstrate a commitment to applying statistical methods to real-world problems, contributing valuable insights across various domains. His proficiency in computational tools and continuous pursuit of professional development position him as a leader in the field. Recognitions such as the FAPESB scholarship and citations of his work attest to his impact on the scientific community. Dr. Guedes’s career trajectory reflects a dedication to the advancement of statistical science and its application for societal benefit.

Publications Top Notes

  1. Title: Quantifying the Influence of Climatic Variables on the Incidence of Diseases in Salvador-BA
    Journal: Fluctuation and Noise Letters
    Date: June 2025
    DOI: 10.1142/S0219477525500294
    Contributors: Everaldo Freitas Guedes, Cláudia Ferreira da Cruz, Florêncio Mendes Oliveira Filho

  2. Title: DETRENDED MULTIPLE CROSS-CORRELATION COEFFICIENT BASED ON ρDMCA
    Journal: Fractals
    Date: May 16, 2025
    DOI: 10.1142/S0218348X25500434
    Contributors: E. F. Guedes, R. M. T. S. Dias, A. M. da Silva Filho, G. F. Zebende

  3. Title: Caracterização da rede de internações por diabetes mellitus no estado da Bahia: teoria das redes
    Journal: Revista Baiana de Saúde Pública
    Date: December 31, 2022
    DOI: 10.22278/2318-2660.2022.v46.n4.a3341
    Contributors: Raiara dos Santos Pereira Dias, Aloísio Machado da Silva Filho, Edna Maria de Araújo, Everaldo Freitas Guedes, Florêncio Mendes Oliveira Filho

  4. Title: Statistical Approach to Study the Relationship Between Stock Market Indexes by Multiple DCCA Cross-Correlation Coefficient
    Journal: Fluctuation and Noise Letters
    Date: October 2022
    DOI: 10.1142/S0219477522500456
    Contributors: G. F. Zebende, L. C. Aguiar, Paulo Ferreira, E. F. Guedes

  5. Title: Efficiency and Long-Range Correlation in G-20 Stock Indexes: A Sliding Windows Approach
    Journal: Fluctuation and Noise Letters
    Date: August 2022
    DOI: 10.1142/S021947752250033X
    Contributors: E. F. Guedes, R. P. C. Santos, L. H. R. Figueredo, P. A. da Silva, R. M. T. S. Dias, G. F. Zebende

  6. Title: How Statistically Significant is the DMCA Coefficient?
    Journal: Fluctuation and Noise Letters
    Date: June 2022
    DOI: 10.1142/S0219477522500213
    Contributor: Everaldo Freitas Guedes

  7. Title: Detrended multiple cross-correlation coefficient with sliding windows approach
    Journal: Physica A: Statistical Mechanics and its Applications
    Date: July 2021
    DOI: 10.1016/j.physa.2021.125990
    Contributors: E. F. Guedes, A. M. da Silva Filho, G. F. Zebende

  8. Title: Analysis of intentional lethal violent crimes: A sliding windows approach
    Journal: Physica A: Statistical Mechanics and its Applications
    Date: April 2021
    DOI: 10.1016/j.physa.2020.125653
    Contributors: A. M. da Silva Filho, G. F. Zebende, E. F. Guedes

  9. Title: DCCA cross-correlation coefficient with sliding windows approach
    Journal: Physica A: Statistical Mechanics and its Applications
    Date: August 2019
    DOI: 10.1016/j.physa.2019.121286
    Contributor: Everaldo Guedes

  10. Title: An econophysics approach to study the effect of BREXIT referendum on European Union stock markets
    Journal: Physica A: Statistical Mechanics and its Applications
    Date: June 2019
    DOI: 10.1016/j.physa.2019.04.132
    Contributor: Everaldo Guedes

Yentéma NAMOUNTOUGOU | Econometrics and Finance | Best Scholar Award

Published on by World Science Awards

Mr. Yentéma NAMOUNTOUGOU | Econometrics and Finance | Best Scholar Award

Doctoral Student at Thomas Sankara University, Burkina Faso

NAMOUNTOUGOU Yentéma is a dedicated third-year PhD student in Development Economics at Thomas Sankara University, with a strong academic background that includes a Master’s in Applied Macroeconomics and International Finance and a Bachelor’s in Economic Analysis and Policy. Yentéma has demonstrated significant research capabilities, evidenced by their recent paper on natural resource spillover effects and active participation in international colloquiums and seminars. Their training includes prestigious certifications from institutions such as Oxford University and the Inter-American Development Bank, highlighting their commitment to specialized knowledge. Professionally, Yentéma has experience in research and innovation at the Association for Public Financial Education and possesses high proficiency in research tools like STATA, SPSS, and QGIS. With strong personal attributes such as dynamism and rigor, Yentéma is a promising candidate for the Research for Best Scholar Award, showing potential for further growth and impact in their field.

Profile

Education

NAMOUNTOUGOU Yentéma’s educational journey is marked by a robust academic foundation in economics and development studies. Currently pursuing a PhD in Development Economics at Thomas Sankara University (TSU), Yentéma’s research is guided by a focus on socio-economic development. Prior to this, Yentéma completed a Master’s in Applied Macroeconomics and International Finance (AMIF) at TSU from 2019 to 2021, which deepened their expertise in economic policy and finance. Their undergraduate studies were completed at Norbert Zongo University (NZU) in Koudougou, where they earned a Bachelor’s degree in Economic Analysis and Policy (EAP) from 2013 to 2017. Yentéma’s educational achievements are complemented by various certifications, including online tutoring, human resources management, development project management, and multidimensional poverty index design, reflecting a commitment to continuous learning and practical application in their field.

Professional Experience

NAMOUNTOUGOU Yentéma’s professional experience spans roles in research, innovation, and education. From 2020 to 2024, Yentéma served as the Responsible for Research and Innovation of Training Content at the Association for Public Financial Education (APEFP) in Ouagadougou. In this role, they contributed significantly to developing and enhancing training materials related to public financial education. Additionally, Yentéma has been actively involved in academic circles, including serving as a reporter for the Thomas Sankara International Colloquium (both the 1st and 2nd Editions) at Thomas Sankara University. This experience highlights their active engagement in scholarly communication and academic events. Their role as a researcher and contributor to seminars, such as the presentation of their paper on natural resource exploitation at the CESSDR seminar, underscores their commitment to advancing knowledge in their field. This combination of practical and academic experience enriches their professional profile.

Research Interest

NAMOUNTOUGOU Yentéma’s research interests primarily focus on development economics, particularly examining the impact of natural resources on economic development and foreign direct investment (FDI) within the Economic Community of West African States (ECOWAS). Yentéma’s recent work explores the spillover effects of natural resources on the attractiveness of FDI in ECOWAS countries, contributing valuable insights into how resource abundance influences economic policies and investment flows. This research is critical for understanding the dynamics of resource-driven development and for formulating strategies to optimize the benefits of natural resource endowments. Additionally, Yentéma’s interests extend to macroeconomic analysis and international finance, reflecting a broader commitment to studying economic growth, development policies, and their implications for regional economies. Through these research endeavors, Yentéma aims to address key challenges in economic development and provide evidence-based recommendations for policy-making and sustainable development.

Research Skills

NAMOUNTOUGOU Yentéma exhibits robust research skills essential for the field of development economics. Their proficiency in using statistical software, including STATA 18.5, SPSS, and R, underscores their capability to handle complex data analysis and econometric modeling. Yentéma’s experience with QGIS and Geoda further demonstrates their competence in spatial data analysis and geographic information systems. Their research is reflected in their recent publication on the spillover effects of natural resources on foreign direct investment in ECOWAS countries, showcasing their ability to address relevant economic issues with empirical evidence. Additionally, their role as a reporter for international colloquiums highlights strong communication skills and a capacity to disseminate research findings effectively. Yentéma’s academic background, complemented by various specialized training certifications, contributes to a well-rounded skill set that supports rigorous and impactful research.

Award and Recognition

NAMOUNTOUGOU Yentéma has demonstrated remarkable dedication and expertise in the field of development economics, earning recognition for his significant contributions. His ongoing PhD studies at Thomas Sankara University, coupled with a Master’s in Applied Macroeconomics and International Finance and a Bachelor’s in Economic Analysis and Policy, underscore his strong academic foundation. Yentéma’s recent publication on the spillover effects of natural resources on foreign direct investment in ECOWAS countries in Resources Policy highlights his ability to address pressing economic issues. He has also been actively involved in presenting his research at prestigious seminars, such as the CESSDR seminar and the Thomas Sankara International Colloquium. His extensive training, including certifications from Oxford University and the Inter-American Development Bank, complements his professional experience at the Association for Public Financial Education. These achievements reflect his commitment to advancing knowledge in his field and position him as a deserving candidate for the Research for Best Scholar Award.

Conclusion

NAMOUNTOUGOU Yentéma is a strong candidate for the Research for Best Scholar Award. Their solid academic background, relevant research contributions, and extensive training reflect a high level of commitment and expertise. To further enhance their candidacy, focusing on increasing research output, expanding professional experiences, and improving research visibility would be advantageous. Overall, Yentéma shows great potential and dedication, making them a commendable candidate for the award.

Publications Top Notes

Spillover Effects of Natural Resources on the Attractiveness of Foreign Direct Investment in ECOWAS Countries