What is he best known for?
The fields of study he is best known for:
- Law
- Macroeconomics
- Statistics
Econometrics, Cointegration, Macroeconomics, Financial economics and Unit root are his primary areas of study.
His work carried out in the field of Econometrics brings together such families of science as Oil price and Variables.
His Cointegration research is multidisciplinary, incorporating perspectives in Short run, Applied economics, Income elasticity of demand, Development economics and Granger causality.
The Gross domestic product and Consumption research he does as part of his general Macroeconomics study is frequently linked to other disciplines of science, such as Nexus, therefore creating a link between diverse domains of science.
His Financial economics study combines topics from a wide range of disciplines, such as Predictability and Cost price.
Paresh Kumar Narayan has included themes like Null hypothesis, Structural break, Per capita and Unit root test in his Unit root study.
His most cited work include:
- The saving and investment nexus for China : evidence from cointegration tests (1657 citations)
- Energy consumption and real GDP in G7 countries: New evidence from panel cointegration with structural breaks (487 citations)
- Carbon dioxide emissions and economic growth: Panel data evidence from developing countries (460 citations)
What are the main themes of his work throughout his whole career to date?
Paresh Kumar Narayan mainly focuses on Econometrics, Cointegration, Monetary economics, Unit root and Financial economics.
In his study, which falls under the umbrella issue of Econometrics, Heteroscedasticity is strongly linked to Predictability.
His Cointegration study incorporates themes from Distributed lag, Macroeconomics, Real gross domestic product, Short run and Granger causality.
The various areas that Paresh Kumar Narayan examines in his Monetary economics study include Stock exchange and Investment.
The concepts of his Unit root study are interwoven with issues in Efficient-market hypothesis, Tourism, Unit root test, Autoregressive conditional heteroskedasticity and Null hypothesis.
His Financial economics research includes themes of Stock market and Business economics.
He most often published in these fields:
- Econometrics (36.79%)
- Cointegration (24.21%)
- Monetary economics (22.33%)
What were the highlights of his more recent work (between 2014-2021)?
- Financial economics (15.25%)
- Econometrics (36.79%)
- Predictability (7.86%)
In recent papers he was focusing on the following fields of study:
Paresh Kumar Narayan mostly deals with Financial economics, Econometrics, Predictability, Monetary economics and Trading strategy.
He interconnects Mid price, Cost price and Business economics in the investigation of issues within Financial economics.
His Econometrics study frequently links to other fields, such as Predictive regression.
His biological study spans a wide range of topics, including Quality, Endogeneity, Estimator, Stock market and Stock return.
His research investigates the link between Monetary economics and topics such as Robustness that cross with problems in Financial crisis.
Within one scientific family, Paresh Kumar Narayan focuses on topics pertaining to Commodity under Vector autoregression, and may sometimes address concerns connected to Cointegration.
Between 2014 and 2021, his most popular works were:
- Has oil price predicted stock returns for over a century (177 citations)
- Oil price and stock returns of consumers and producers of crude oil (138 citations)
- Country Responses and the Reaction of the Stock Market to COVID-19—a Preliminary Exposition (130 citations)
In his most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Financial economics, Predictability, Econometrics, Business economics and Monetary economics.
The study incorporates disciplines such as Financial system and Cost price in addition to Financial economics.
The Predictability study combines topics in areas such as Salient, Panel data, Heteroscedasticity, Futures market and Stock return.
His Panel data research integrates issues from Income distribution, Kuznets curve and Macroeconomics.
His work in Volatility and Unit root is related to Econometrics.
His work in the fields of Oil price, Exchange rate and Oil market overlaps with other areas such as Literature survey.
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