Faroque Ahmed | Quantitative Hypotheses | Best Researcher Award

Faroque Ahmed | Quantitative Hypotheses | Best Researcher Award

Mr Faroque Ahmed, Ural Federal University, Russia, Russia

Faroque Ahmed is a PhD researcher at Ural Federal University, Russia ๐Ÿ‡ท๐Ÿ‡บ, specializing in development studies and financial economics ๐Ÿ“Š. He holds an M.Sc. and B.Sc. in Statistics from Islamic University, Kushtia-Jhinaidah, where he achieved top positions in his class ๐Ÿฅ‡. With research interests in quantile-based methods, VARs, data mining, and machine learning ๐Ÿค–, he has served as a Senior Research Associate at the Bangladesh Institute of Governance and Management (BIGM) and as a Research Assistant at the Islamic University, working on credit card fraud detection. Faroque also boasts excellent academic achievements and IELTS proficiency ๐Ÿ…๐Ÿ“š.

Publication profile

Scopus

Education

๐Ÿ“š With a strong academic background, I hold a Master’s in Statistics from Islamic University, Kushtia-Jhinaidah, completed in 2015 with an ‘A’ grade and a CGPA of 3.91, securing first-class first position ๐Ÿฅ‡. My Bachelor’s in Statistics from the same university, completed in 2014, earned me an ‘A’ grade and a CGPA of 3.84, ranking second in first class ๐Ÿฅˆ. Prior to this, I excelled in Science, achieving a perfect GPA of 5.00 in both my Higher Secondary (2009) and Secondary (2006) School Certificates at New Govt. Degree College and Masjid Mission Academy, respectively ๐ŸŒŸ.

Experience

Since 2022, the user has been a PhD Researcher at the Laboratory of International & Regional Economics (LIRE) at the Graduate School of Economics and Management (GSEM), Ural Federal University, Yekaterinburg, Russia ๐Ÿ“š๐ŸŒ. Concurrently, they have served as a Senior Research Associate at the Bangladesh Institute of Governance and Management (BIGM), affiliated with the University of Dhaka, since 2019 ๐Ÿข๐Ÿ‡ง๐Ÿ‡ฉ. Previously, from 2016 to 2019, they worked as a Research Assistant at the Quantitative Financial Economic Development (QFED) Lab in the Dept. of Statistics at Islamic University, Kushtia, Bangladesh, focusing on credit card fraud detection using machine-learning algorithms under the supervision of Md. Altaf Hossain ๐Ÿ’ณ๐Ÿค–.

Research Interest

I am passionate about the fields of development studies and financial economics, focusing on advanced methodologies and data analysis. My expertise includes quantile-based methods, various types of VARs, and data mining techniques. I am proficient in leveraging machine learning and big data analysis for robust econometric modeling. Through these skills, I aim to contribute to the understanding and development of economic policies and practices. ๐Ÿ“Š๐Ÿ’ก๐Ÿ”๐Ÿ“‰๐Ÿ’ป๐Ÿ”Ž

Awards

In 2017-18, I was awarded the UGC research grant for my masterโ€™s project on the socio-economic effects of remittance on Bangladeshi migrant households. Under the supervision of Md. Altaf Hossain, an Associate Professor at Islamic University, Kushtia, Bangladesh, I conducted extensive research in this area. Additionally, in 2017, I completed Big Data Analytics Training through the LICT project of the ICT Ministry, People’s Republic of Bangladesh. ๐Ÿ“š๐Ÿ”๐Ÿ’ผ The grant and training significantly enhanced my research capabilities and data analysis skills, contributing to my academic and professional growth. ๐Ÿ“ˆ๐ŸŒ

Research focus

Faheem Ahmed’s research primarily focuses on the intersection of economics, environmental studies, and technological applications. His work includes examining the impact of geopolitical risks on global finance, analyzing the economic growth-environment nexus, and exploring the implications of AI technology on industrial outputs and energy consumption. Additionally, Ahmed delves into health outcomes influenced by governance and education, social distancing behaviors during Covid-19, and predictive modeling for air quality and credit card fraud detection. His interdisciplinary approach combines machine learning with economic and environmental analysis, reflecting a broad interest in sustainable development and risk management. ๐ŸŒ๐Ÿ“Š๐Ÿ’ก๐ŸŒฑ๐Ÿ“‰๐Ÿ”.

Publication top notes

Robot race in geopolitically risky environment: Exploring the Nexus between AI-powered tech industrial outputs and energy consumption in Singapore

Semi-Supervised Machine Learning Method for Predicting Observed Individual Risk Preference Using Gallup Data

Assessing the impact of Russianโ€“Ukrainian geopolitical risks on global green finance: a quantile dependency analysis

An inquiry into the achievements in health outcomes of Bangladesh: role of health expenditure, income, governance and female education

Integration of theory of planned behavior into actual social distancing behavior amid Covid-19

Economic growth and environmental pollution nexus in Ba

An analysis of energy, environment and economic growth (EEE) nexus: a 2SLS approach

Creative social media use for Covid-19 prevention in Bangladesh: a structural equation modeling approach

A comparative study of credit card fraud detection using the combinati

Predicting air quality of Dhaka and Sylhet divisions in Bangladesh: a time series modeling approach

 

Surya Chelikani | Quantitative Hypotheses | Best Researcher Award

Surya Chelikani | Quantitative Hypotheses | Best Researcher Award

Dr Surya Chelikani, Quinnipiac University, United States

Dr. Surya Chelikani is an accomplished educator and researcher in finance, specializing in corporate finance, asset pricing, and market microstructure. With a Ph.D. from Oklahoma State University, he serves as an Associate Professor at Quinnipiac University. His expertise extends to both academic and corporate realms, with prior experience in engineering and consultancy. Dr. Chelikani’s research investigates topics such as market integration and regulatory impacts on financial markets. Recognized for his teaching excellence, he has received prestigious awards and consistently high evaluations. ๐Ÿ“š๐Ÿ’ผ๐Ÿ…

Publication profile

google scholar

Education

After completing a Bachelor’s in Mechanical Engineering from Andhra University (India) in 1981, I pursued an M.B.A in General Management from the University of Central Oklahoma in 2003. Building upon this foundation, I obtained my Ph.D. in Finance from Oklahoma State University in 2010. ๐ŸŽ“ This educational journey reflects a diverse range of interests and expertise, blending technical skills with financial acumen. From engineering principles to the intricacies of financial markets, each step has contributed to a well-rounded perspective and a dedication to continuous learning and growth.

Experience

As an academic, I’ve dedicated years to teaching and shaping minds. Beginning as an Instructor at Oklahoma State University, I’ve covered various financial courses, earning commendable teaching evaluations. My journey progressed to Quinnipiac University, where I advanced from Assistant Professor to Associate Professor, fostering a dynamic learning environment. Alongside academia, I’ve also ventured into the corporate realm. As a partner in multiple enterprises spanning cold welding, systems programming, and consultancy for cement plants, I’ve honed practical insights that complement my academic endeavors. Balancing academia with real-world experience has enriched my professional journey, ensuring a holistic approach to education. ๐Ÿ“š๐Ÿ’ผ

Awards

In the realm of academia, achievements often serve as milestones of dedication and excellence. Such is the case for Surya Chelikani, whose academic journey has been adorned with accolades. Notably,ย  clinched the coveted Outstanding Graduate Teaching Associate award in Finance, an honor bestowed uponย  in both 2006 and 2007โ€”a feat unmatched by any other recipient. Securing a four-year assistantship from the Department of Finance further underscores [his/her/their] commitment and proficiency. [His/Her/Their] consistent presence on the Presidentโ€™s List throughoutย  MBA years reflects [his/her/their] unwavering academic prowess. Membership in esteemed societies like Delta Mu Delta and the Golden Key national honor society epitomizes scholarly excellence and distinction. ๐ŸŽ“

Research focus

S Chelikani’s research primarily focuses on financial economics, particularly in areas related to market efficiency, regulatory impacts, and financial contagion. Chelikani has explored the effects of regulatory changes such as Sarbanes-Oxley and Regulation Fair Disclosure on market integration and efficiency. Additionally, their work delves into the implications of financial crises, such as the 2008 financial crisis, on various financial sectors, including the Turkish financial sector and hedge funds. Their studies often employ quantitative methods like cointegration analysis to examine market dynamics and investor behavior.

๐Ÿ”๐Ÿ“Š๐Ÿ’น๐Ÿ“‰๐Ÿ“ˆ

Publication top notes

Financial crisis and contagion: The effects of the 2008 financial crisis on the Turkish financial sector

The impact of Sarbanes-Oxley on market efficiency: evidence from mergers and acquisitions activity

GASB mandatory disclosure rules and municipal bond yield spreads

Implied volatility spread and stock mispricing

The Hedge Fund Industry’s Market Timing Ability and Role in Financial Contagion: Evidence from the Strategic Response to the 2008 Financial Crisis

The Effect of Regulation Fair Disclosure on Market Integration

Past stock returns and the MAX effect

Volatility feedback effect and risk-return tradeoff

The impact of insider ownership level on equity market timing decisions

State-dependent intertemporal risk-return tradeoff: Further evidence

Revisiting the ICAPM under the distortion of riskโ€“return tradeoff in shortโ€horizon stock returns

Cointegration Analysis of the Effect of Decimalization on Market Equilibrium and Price Discovery