Shoaib Ali
Biographic Data
| ID | 3713072 |
|---|---|
| NAME | Shoaib Ali |
| GIVEN NAMES | Shoaib |
| FAMILY NAME | Ali |
| SIGNATURE | ALI S |
| AFFILIATIONS | Air University |
| ORCID | 0000-0001-5954-9987 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Financial technology and banking performance in developing countries: Evidence from an advanced quantile regression approach
FinTech has emerged as a transformative force in the global banking industry, especially in developing economies where digital solutions are rapidly redefining financial access, efficiency, and competition. Despite its growing relevance, empirical research remains limited regarding the heterogeneous effects of FinTech on banking performance and the role of institutional quality in shaping these outcomes. This study investigates the impact of FinT…
Does Risk Tolerance Mediates the Relationship Between Financial Literacy and Financial Wellbeing During Covid-19: Empirical Evidence From an Emerging Economy
This study aims to explore the role of financial literacy in determining financial well-being during COVID-19. Additionally, we plan to examine how risk tolerance mediates between financial literacy and overall well-being. The data of 367 active individual investors on the Pakistan Stock Exchange was taken utilizing convenience sampling and the survey methodology. The relationship between financial literacy, risk tolerance, and financial well-bei…
How can firms get benefits from the innovation ecosystem? Empirical evidence from Pakistan
Purpose This research intends to analyze the innovation ecosystem factors that play a vital role in firm performance. As a result, large-scale empirical studies on the innovation ecosystem are rare, and fewer efforts have been made to determine if and how different factors affect the ecosystem models of firms. There has yet to be a substantial empirical study on the innovation ecosystem. Design/methodology/approach Data were acquired from Pakista…
Artificial neural network (ANN)-based estimation of the influence of Covid-19 pandemic on dynamic and emerging financial markets
Probing the impact of cognitive heuristics on strategic decision-making during the Covid-19 pandemic: Evidence from an emerging economy
Purpose This study aims to explore and clarify the mechanism by which cognitive heuristics influence strategic decision-making during the coronavirus disease 2019 (COVID-19) pandemic in an emerging economy. Design/methodology/approach Data collection was conducted through a survey completed by 213 top-level managers from firms located in the twin cities of Pakistan. A convenient, purposively sampling technique and snowball method were used for da…
Information transmission and hedging effectiveness for the pairs crude oil-gold and crude oil-Bitcoin during the Covid-19 outbreak
This study uses hourly data to analyse the return and volatility transmission of oil-gold and oil-Bitcoin pairs during the pre-COVID-19 and COVID-19 periods. The results show that the return transmissions vary across the two periods for both pairs. There is a unidirectional volatility spill-over from gold to oil in the pre-COVID-19 period, and from oil to gold during the COVID-19 period. There is a significant volatility spill-over from Bitcoin t…
Risk and Return Transmissions From Crude Oil to Latin American Stock Markets During the Crisis: Portfolio Implications
Using the DCC-GARCH model, this study examines the return and volatility spillovers between crude oil and emerging Latin American stock markets during the entire studying period and two subsamples, including the global financial crisis and the Chinese Stock market crash. The findings reveal a positive causal effect from Brazil and Mexico’s stock price changes to the oil market during the global financial crisis. During the Chinese stock market cr…
Time and frequency co‐movement between economic policy uncertainty and inflation: Evidence from Japan
This study examines the time‐frequency causal link between economic policy uncertainty and inflation in Japan while answering the following questions: (i) is there any causal link between economic policy uncertainty and inflation in Japan? (ii) if yes, in which direction(s)? To the best of our knowledge, this is the first study that conducts this nexus. To do so, this study employs the wavelet coherence causality test and focuses on the wide rang…
Herding on Fundamental/Nonfundamental Information During the Covid-19 Outbreak and Cyber-Attacks: Evidence From the Cryptocurrency Market
We provide an empirical analysis of herding behavior in cryptocurrency markets during COVID-19 and periods of cyber-attacks, differentiating between fundamental and nonfundamental herding. The results show that herding behavior is driven by fundamental information during the full sample period and the cyber-attack days. However, herding is not prevalent during the COVID-19 outbreak, either when reacting to fundamental or nonfundamental informatio…
How Do Capital Ratios Affect Bank Risk-Taking: New Evidence From the United States
This study aims to examine the impact of different capital ratios on Non-Performing loans, Loan Loss Reserves, and Risk-Weighted Assets by studying large commercial banks of the United States. The study employed a two-step system generalized method of movement (GMM) approach by collecting the data over the period ranging from 2002 to 2018. The study finds that using Non-Performing loans and Loan Loss Reserves as a proxy for risk, results support …
Time and frequency co‐movement between economic policy uncertainty and inflation: Evidence from Japan
This study examines the time‐frequency causal link between economic policy uncertainty and inflation in Japan while answering the following questions: (i) is there any causal link between economic policy uncertainty and inflation in Japan? (ii) if yes, in which direction(s)? To the best of our knowledge, this is the first study that conducts this nexus. To do so, this study employs the wavelet coherence causality test and focuses on the wide rang…
Herding on Fundamental/Nonfundamental Information During the Covid-19 Outbreak and Cyber-Attacks: Evidence From the Cryptocurrency Market
We provide an empirical analysis of herding behavior in cryptocurrency markets during COVID-19 and periods of cyber-attacks, differentiating between fundamental and nonfundamental herding. The results show that herding behavior is driven by fundamental information during the full sample period and the cyber-attack days. However, herding is not prevalent during the COVID-19 outbreak, either when reacting to fundamental or nonfundamental informatio…
Risk and Return Transmissions From Crude Oil to Latin American Stock Markets During the Crisis: Portfolio Implications
Using the DCC-GARCH model, this study examines the return and volatility spillovers between crude oil and emerging Latin American stock markets during the entire studying period and two subsamples, including the global financial crisis and the Chinese Stock market crash. The findings reveal a positive causal effect from Brazil and Mexico’s stock price changes to the oil market during the global financial crisis. During the Chinese stock market cr…
Time and frequency co‐movement between economic policy uncertainty and inflation: Evidence from Japan
This study examines the time‐frequency causal link between economic policy uncertainty and inflation in Japan while answering the following questions: (i) is there any causal link between economic policy uncertainty and inflation in Japan? (ii) if yes, in which direction(s)? To the best of our knowledge, this is the first study that conducts this nexus. To do so, this study employs the wavelet coherence causality test and focuses on the wide rang…
Herding on Fundamental/Nonfundamental Information During the Covid-19 Outbreak and Cyber-Attacks: Evidence From the Cryptocurrency Market
We provide an empirical analysis of herding behavior in cryptocurrency markets during COVID-19 and periods of cyber-attacks, differentiating between fundamental and nonfundamental herding. The results show that herding behavior is driven by fundamental information during the full sample period and the cyber-attack days. However, herding is not prevalent during the COVID-19 outbreak, either when reacting to fundamental or nonfundamental informatio…
How Do Capital Ratios Affect Bank Risk-Taking: New Evidence From the United States
This study aims to examine the impact of different capital ratios on Non-Performing loans, Loan Loss Reserves, and Risk-Weighted Assets by studying large commercial banks of the United States. The study employed a two-step system generalized method of movement (GMM) approach by collecting the data over the period ranging from 2002 to 2018. The study finds that using Non-Performing loans and Loan Loss Reserves as a proxy for risk, results support …
Probing the impact of cognitive heuristics on strategic decision-making during the Covid-19 pandemic: Evidence from an emerging economy
Purpose This study aims to explore and clarify the mechanism by which cognitive heuristics influence strategic decision-making during the coronavirus disease 2019 (COVID-19) pandemic in an emerging economy. Design/methodology/approach Data collection was conducted through a survey completed by 213 top-level managers from firms located in the twin cities of Pakistan. A convenient, purposively sampling technique and snowball method were used for da…
Information transmission and hedging effectiveness for the pairs crude oil-gold and crude oil-Bitcoin during the Covid-19 outbreak
This study uses hourly data to analyse the return and volatility transmission of oil-gold and oil-Bitcoin pairs during the pre-COVID-19 and COVID-19 periods. The results show that the return transmissions vary across the two periods for both pairs. There is a unidirectional volatility spill-over from gold to oil in the pre-COVID-19 period, and from oil to gold during the COVID-19 period. There is a significant volatility spill-over from Bitcoin t…
Artificial neural network (ANN)-based estimation of the influence of Covid-19 pandemic on dynamic and emerging financial markets
Does Risk Tolerance Mediates the Relationship Between Financial Literacy and Financial Wellbeing During Covid-19: Empirical Evidence From an Emerging Economy
This study aims to explore the role of financial literacy in determining financial well-being during COVID-19. Additionally, we plan to examine how risk tolerance mediates between financial literacy and overall well-being. The data of 367 active individual investors on the Pakistan Stock Exchange was taken utilizing convenience sampling and the survey methodology. The relationship between financial literacy, risk tolerance, and financial well-bei…
How can firms get benefits from the innovation ecosystem? Empirical evidence from Pakistan
Purpose This research intends to analyze the innovation ecosystem factors that play a vital role in firm performance. As a result, large-scale empirical studies on the innovation ecosystem are rare, and fewer efforts have been made to determine if and how different factors affect the ecosystem models of firms. There has yet to be a substantial empirical study on the innovation ecosystem. Design/methodology/approach Data were acquired from Pakista…
Financial technology and banking performance in developing countries: Evidence from an advanced quantile regression approach
FinTech has emerged as a transformative force in the global banking industry, especially in developing economies where digital solutions are rapidly redefining financial access, efficiency, and competition. Despite its growing relevance, empirical research remains limited regarding the heterogeneous effects of FinTech on banking performance and the role of institutional quality in shaping these outcomes. This study investigates the impact of FinT…
Economics (10 works) · Business (7 works) · Finance (5 works) · Market Dynamics and Volatility (4 works) · Medicine (4 works) · Monetary economics (4 works) · Computer Science (3 works) · COVID-19 Pandemic Impacts (3 works) · Empirical evidence (3 works) · Financial economics (3 works)