What is he best known for?
The fields of study he is best known for:
- Statistics
- Macroeconomics
- Inflation
Econometrics, Volatility, Macroeconomics, Monetary economics and Financial economics are his primary areas of study.
His research on Econometrics focuses in particular on Unit root.
His Volatility research includes elements of Vector autoregression, Oil price and Investment.
His work on Endogenous money and Monetary policy as part of general Macroeconomics study is frequently linked to Causality and German, therefore connecting diverse disciplines of science.
As a part of the same scientific study, Apostolos Serletis usually deals with the Monetary economics, concentrating on Cointegration and frequently concerns with Interconnectedness, Agricultural economics, Fisher hypothesis and Mid price.
Apostolos Serletis has included themes like Economic indicator, Economic statistics, Black market and Consistency in his Financial economics study.
His most cited work include:
- Oil Price Uncertainty (319 citations)
- Consumer Theory and the Demand for Money (178 citations)
- Martingales, nonlinearity, and chaos (134 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Econometrics, Monetary economics, Monetary policy, Volatility and Macroeconomics.
His Econometrics research incorporates themes from Random walk and Demand for money.
Apostolos Serletis interconnects Microeconomics, Endogenous money and Aggregate demand in the investigation of issues within Demand for money.
His studies deal with areas such as Business cycle and Bivariate analysis as well as Monetary economics.
His Volatility research incorporates elements of Financial market, Covariance matrix and Heteroscedasticity, Homoscedasticity.
Apostolos Serletis frequently studies issues relating to Cointegration and Macroeconomics.
He most often published in these fields:
- Econometrics (42.86%)
- Monetary economics (22.00%)
- Monetary policy (13.83%)
What were the highlights of his more recent work (between 2017-2021)?
- Econometrics (42.86%)
- Monetary economics (22.00%)
- Volatility (12.47%)
In recent papers he was focusing on the following fields of study:
Apostolos Serletis focuses on Econometrics, Monetary economics, Volatility, Monetary policy and Markov chain.
The concepts of his Econometrics study are interwoven with issues in Covariance matrix and Sample.
His study in the field of Inflation is also linked to topics like Credit card.
His Autoregressive conditional heteroskedasticity study in the realm of Volatility interacts with subjects such as Agricultural commodity.
His work on Inflation rate as part of general Monetary policy study is frequently connected to Complementarity, Divisia index and Context, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Bivariate analysis study combines topics in areas such as Money supply and Oil price.
Between 2017 and 2021, his most popular works were:
- Economic policy uncertainty and real output: evidence from the G7 countries (29 citations)
- The Demand for Assets and Optimal Monetary Aggregation (16 citations)
- Oil Prices and the Renewable Energy Sector (12 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Macroeconomics
- Inflation
His primary scientific interests are in Econometrics, Monetary economics, Biofuel, Bivariate analysis and Granger causality.
Apostolos Serletis works in the field of Econometrics, namely Homoscedasticity.
His study on Monetary economics also encompasses disciplines like
- Spillover effect, which have a strong connection to Monetary policy,
- Business cycle which is related to area like Natural gas prices and Stylized fact.
His study explores the link between Bivariate analysis and topics such as Oil price that cross with problems in Order and Regime switching.
His Granger causality research also works with subjects such as
- Production that connect with fields like Distribution and Shock,
- Industrial production which connect with Autoregressive conditional heteroskedasticity and Interest rate.
His biological study spans a wide range of topics, including Statistical hypothesis testing, Expenditure function and Alternative hypothesis.
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