prof.dr. DJC (Dick) van Dijk

Biography

Dick van Dijk is a professor of financial econometrics at the Econometric Institute, Erasmus School of Economics (ESE). His areas of special interest are volatility modelling and forecasting, high-frequency data, asset return predictability, business cycle analysis, and non-linear time series analysis. Professor van Dijk has published widely in all the major journals in the field including, among others, the *Economic Journal*, *International Journal of Forecasting*, *Journal of Applied Econometrics*, *Journal of Business and Economic Statistics*, *Journal of Econometrics*, *Review of Economics and Statistics,* and *Review of Finance*. He received his PhD in econometrics cum laude from Erasmus University Rotterdam in 1999.

Erasmus School of Economics

Full professor | Econometrics
Email
djvandijk@ese.eur.nl

Work

  • Richard Paap & Dick van Dijk (28 December 2022) - New Data from Koc University Illuminate Research in Economics (Modeling and estimation of synchronization in size-sorted portfolio returns)

  • Dick Dijk (2007) - Journal of Applied Econometrics (Journal) (Editor)
    Activity: Editorial work Academic
  • Dick Dijk (2004) - International Journal of Forecasting (Journal) (Editor)
    Activity: Editorial work Academic
  • Dick Dijk (2001) - Applied Economics (Journal) (Editor)
    Activity: Editorial work Academic

International Journal of Forecasting

Start date approval
January 2024
End date approval
January 2027
Place
AMSTERDAM
Description
Editor

Advanced Time Series Econometrics

Level
Master
Year Level
Master
Year
2024
Course Code
TIF20126

Internship Hub

Year
2024
Course Code
FEB63017

Machine Learning in Econometrics

Year
2024
Course Code
FEM21045

Thesis Hub Bachelor Econometrics & OR

Year
2024
Course Code
FEB63007H

Thesis Hub BSc2 Econometrics / Economics

Year
2024
Course Code
FEB63008H

Quantitative Methods for Finance

Year
2024
Course Code
FEB23006

Machine Learning

Year
2024
Course Code
FEM31002

Major & Master Orientation(econometrics)

Year
2024
Course Code
FEB62010

Machine Learning in Econometrics

Level
Master
Year Level
Master
Year
2024
Course Code
TIF20218

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    Hierarchical Portfolio Management: Theory and Applications
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    Measuring and Forecasting Financial Market Volatility using High-Frequency Data
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    Extreme Dependence in Asset Markets Around the Globe
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    Macroeconomic Crisis and Firm Performance
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    Empirical Studies on Financial Markets: Private Equity, Corporate Bonds and Emerging Markets
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    'Time Varying Risk and Dependence Structure of Financial Securities'.
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    bridging time series econometrics and machine learning
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    forecasting implied volatility surface
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    Estimation and Evaluation of Financial Risk’

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