Michiel De Pooter

1.1k total citations
30 papers, 611 citations indexed

About

Michiel De Pooter is a scholar working on Finance, General Economics, Econometrics and Finance and Economics and Econometrics. According to data from OpenAlex, Michiel De Pooter has authored 30 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Finance, 17 papers in General Economics, Econometrics and Finance and 17 papers in Economics and Econometrics. Recurrent topics in Michiel De Pooter's work include Monetary Policy and Economic Impact (17 papers), Financial Risk and Volatility Modeling (10 papers) and Market Dynamics and Volatility (8 papers). Michiel De Pooter is often cited by papers focused on Monetary Policy and Economic Impact (17 papers), Financial Risk and Volatility Modeling (10 papers) and Market Dynamics and Volatility (8 papers). Michiel De Pooter collaborates with scholars based in United States, Netherlands and Italy. Michiel De Pooter's co-authors include Dick van Dijk, Martin Martens, Seth Pruitt, Robert F. Martin, Francesco Ravazzolo, Giovanni Favara, Michèle Modugno, Sabine Knapp, Stephanie E. Curcuru and Michael J. Fleming and has published in prestigious journals such as Journal of Financial and Quantitative Analysis, International Journal of Forecasting and Journal of International Money and Finance.

In The Last Decade

Michiel De Pooter

27 papers receiving 575 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michiel De Pooter United States 15 497 358 274 37 22 30 611
Gregorio Serna Spain 9 324 0.7× 281 0.8× 91 0.3× 29 0.8× 6 0.3× 30 447
Erik Kole Netherlands 8 347 0.7× 312 0.9× 100 0.4× 40 1.1× 4 0.2× 23 485
Carsten Trenkler Germany 10 176 0.4× 390 1.1× 330 1.2× 27 0.7× 7 0.3× 27 500
Fergal A. O’Connor Ireland 10 186 0.4× 584 1.6× 226 0.8× 47 1.3× 6 0.3× 26 649
Barry E. Jones United States 15 109 0.2× 364 1.0× 361 1.3× 29 0.8× 6 0.3× 50 533
Jaime Casassus Chile 9 417 0.8× 461 1.3× 187 0.7× 16 0.4× 39 1.8× 16 589
Georgios Skoulakis United States 13 384 0.8× 304 0.8× 168 0.6× 74 2.0× 3 0.1× 26 548
Elena Pesavento United States 12 150 0.3× 470 1.3× 379 1.4× 22 0.6× 3 0.1× 24 576
Toshiaki Watanabe Japan 13 395 0.8× 467 1.3× 210 0.8× 46 1.2× 42 620
E. Scott Mayfield United States 7 175 0.4× 192 0.5× 59 0.2× 12 0.3× 18 0.8× 11 271

Countries citing papers authored by Michiel De Pooter

Since Specialization
Citations

This map shows the geographic impact of Michiel De Pooter's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michiel De Pooter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michiel De Pooter more than expected).

Fields of papers citing papers by Michiel De Pooter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michiel De Pooter. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michiel De Pooter. The network helps show where Michiel De Pooter may publish in the future.

Co-authorship network of co-authors of Michiel De Pooter

This figure shows the co-authorship network connecting the top 25 collaborators of Michiel De Pooter. A scholar is included among the top collaborators of Michiel De Pooter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michiel De Pooter. Michiel De Pooter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pooter, Michiel De, et al.. (2025). Gauging the Sentiment of Federal Open Market Committee Communications through the Eyes of the Financial Press. Finance and Economics Discussion Series.
2.
Pooter, Michiel De, et al.. (2021). Reprint: Monetary policy uncertainty and monetary policy surprises. Journal of International Money and Finance. 114. 102401–102401. 15 indexed citations
3.
Pooter, Michiel De, et al.. (2020). Monetary policy uncertainty and monetary policy surprises. Journal of International Money and Finance. 112. 102323–102323. 22 indexed citations
4.
Pooter, Michiel De, et al.. (2020). Monetary Policy Uncertainty and Monetary Policy Surprises. Finance and Economics Discussion Series. 2020.0(32). 1 indexed citations
5.
Pooter, Michiel De, et al.. (2018). Monetary Policy Surprises and Monetary Policy Uncertainty. FEDS Notes. 2018.0(2176). 5 indexed citations
6.
Pooter, Michiel De, et al.. (2018). Breaking Down TRACE Volumes Further. FEDS Notes. 2018.0(2299). 5 indexed citations
7.
Curcuru, Stephanie E., et al.. (2018). Measuring Monetary Policy Spillovers between U.S. and German Bond Yields. International Finance Discussion Paper. 2018.0(1226). 1–23. 10 indexed citations
8.
Pooter, Michiel De, et al.. (2015). Cheap Talk and the Efficacy of the ECB’s Securities Market Programme: Did Bond Purchases Matter?. International Finance Discussion Paper. 2015.0(1139). 1–98. 2 indexed citations
9.
Pooter, Michiel De, et al.. (2014). Are Long-Term Inflation Expectations Well Anchored in Brazil, Chile and Mexico?. International Finance Discussion Paper. 2014.0(1098). 1–47. 32 indexed citations
10.
Pooter, Michiel De, Francesco Ravazzolo, & Dick van Dijk. (2010). Term Structure Forecasting using Macro Factors and Forecast Combination. International Finance Discussion Paper. 2010.0(993). 1–49. 25 indexed citations
11.
Pooter, Michiel De, Francesco Ravazzolo, & Dick van Dijk. (2010). Term Structure Forecasting Using Macro Factors and Forecast Combination. SSRN Electronic Journal. 12 indexed citations
12.
Martens, Martin, Dick van Dijk, & Michiel De Pooter. (2009). Forecasting S&P 500 volatility: Long memory, level shifts, leverage effects, day-of-the-week seasonality, and macroeconomic announcements. International Journal of Forecasting. 25(2). 282–303. 123 indexed citations
13.
Knapp, Sabine, et al.. (2009). An improved methodology to measure flag performance for the shipping industry. Marine Policy. 34(3). 395–405. 28 indexed citations
14.
Pooter, Michiel De, Martin Martens, & Dick van Dijk. (2008). Predicting the Daily Covariance Matrix for S&P 100 Stocks Using Intraday Data—But Which Frequency to Use?. Econometric Reviews. 27(1-3). 199–229. 80 indexed citations
15.
Pooter, Michiel De. (2007). Examining the Nelson-Siegel Class of Term Structure Models. SSRN Electronic Journal. 40 indexed citations
16.
Pooter, Michiel De, et al.. (2006). Gibbs sampling in econometric practice. RePEc: Research Papers in Economics. 3 indexed citations
17.
Pooter, Michiel De, et al.. (2006). On the Practice of Bayesian Inference in Basic Economic Time Series Models using Gibbs Sampling. SSRN Electronic Journal. 1 indexed citations
18.
Pooter, Michiel De, Martin Martens, & Dick van Dijk. (2005). Predicting the Daily Covariance Matrix for S&P 100 Stocks using Intraday Data - But Which Frequency to Use?. SSRN Electronic Journal. 10 indexed citations
19.
Pooter, Michiel De & Dick van Dijk. (2004). Testing for changes in volatility in heteroskedastic time series - a further examination. RePEc: Research Papers in Economics. 15 indexed citations
20.
Pooter, Michiel De, et al.. (2003). The Design and Production of New Retirement Savings Products. The Journal of Portfolio Management. 29(3). 123–126. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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