What is he best known for?
The fields of study he is best known for:
- Statistics
- Finance
- Econometrics
His primary areas of study are Financial economics, Energy consumption, Monetary economics, Stock market and Granger causality.
Syed Jawad Hussain Shahzad has included themes like Oil market, Oil price, Copula, Tail dependence and Stock market index in his Financial economics study.
His study on Tail dependence is covered under Econometrics.
His study in Dominance extends to Monetary economics with its themes.
His work carried out in the field of Stock market brings together such families of science as Index, Emerging markets, Indirect finance and Financial system.
His Granger causality study combines topics from a wide range of disciplines, such as Cointegration and Economy.
His most cited work include:
- Carbon emission, energy consumption, trade openness and financial development in Pakistan: A revisit (135 citations)
- Carbon emission, energy consumption, trade openness and financial development in Pakistan: A revisit (135 citations)
- The energy consumption and economic growth nexus in top ten energy-consuming countries: Fresh evidence from using the quantile-on-quantile approach (121 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Econometrics, Monetary economics, Financial economics, Stock market and Spillover effect.
The Volatility, Quantile, Granger causality and Rolling window research Syed Jawad Hussain Shahzad does as part of his general Econometrics study is frequently linked to other disciplines of science, such as Wavelet, therefore creating a link between diverse domains of science.
Syed Jawad Hussain Shahzad performs integrative Granger causality and Energy consumption research in his work.
His Monetary economics study frequently involves adjacent topics like Hedge.
His research integrates issues of Stock exchange, Predictability and Market states in his study of Financial economics.
The Spillover effect study combines topics in areas such as Equity, Financial crisis, Systemic risk and Tail dependence.
He most often published in these fields:
- Econometrics (42.21%)
- Monetary economics (28.14%)
- Financial economics (19.39%)
What were the highlights of his more recent work (between 2020-2021)?
- Econometrics (42.21%)
- Monetary economics (28.14%)
- Volatility (17.87%)
In recent papers he was focusing on the following fields of study:
Syed Jawad Hussain Shahzad focuses on Econometrics, Monetary economics, Volatility, Spillover effect and Cryptocurrency.
His Econometrics research includes elements of Equity, Inefficiency and Multifractal detrended fluctuation analysis.
In his research on the topic of Equity, Diversification, BRIC and Copula is strongly related with Stock market index.
His Monetary economics research is multidisciplinary, incorporating elements of Bond, Hedge, Stock market and Asset.
The various areas that Syed Jawad Hussain Shahzad examines in his Stock market study include Forecast error, Variance decomposition of forecast errors, Realized variance and Portfolio.
The study incorporates disciplines such as Index, Markov chain and Autoregressive model in addition to Spillover effect.
Between 2020 and 2021, his most popular works were:
- Asymmetric efficiency of cryptocurrencies during COVID19 (7 citations)
- Asymmetric efficiency of cryptocurrencies during COVID19 (7 citations)
- Regime specific spillover across cryptocurrencies and the role of COVID-19 (6 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Finance
- Econometrics
His main research concerns Econometrics, Volatility, Social connectedness, Spillover effect and Stock market.
Syed Jawad Hussain Shahzad integrates many fields, such as Econometrics and Cryptocurrency, in his works.
Syed Jawad Hussain Shahzad combines subjects such as Index, Frequency domain, Futures contract and Cluster analysis with his study of Spillover effect.
His studies in Index integrate themes in fields like Quantile, Stock market index, Markov chain, Autoregressive model and Granger causality.
His Stock market research includes themes of Forecast error, Equity and Monetary economics.
His research on Monetary economics focuses in particular on Bond market.
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