Onno Kleen
Onno Kleen

Onno Kleen

Assistant Professor

Erasmus University Rotterdam

I am an Assistant Professor at the Erasmus University Rotterdam. My focus in research is upon time series analysis and its applications in macro-finance and distribution forecasting.

Interests

  • Econometrics in Finance and Macroeconomics
  • Forecasting
  • Empirical Finance

Education

  • PhD in Economics, 2020

    Heidelberg University

  • MSc in Economics/MSc in Mathematics, 2015/2014

    Heidelberg University

Publications

  • Kleen, O. (2024). Scaling and measurement error sensitivity of scoring rules for distribution forecasts. Journal of Applied Econometrics, 39(5):833–849. https://doi.org/10.1002/jae.3056

  • Boudt, K., Kleen, O., Sjørup, E. (2022). Analyzing intraday financial data in R: The highfrequency package. Journal of Statistical Software, 104(8):1–36. https://doi.org/10.18637/jss.v104.i08

  • Conrad, C., Kleen, O. (2020). Two are better than one: Volatility forecasting using multiplicative component GARCH-MIDAS models. Journal of Applied Econometrics, 35(1):19–45. https://doi.org/10.1002/jae.2742

Working papers

Econometric software

R package: mfGARCH

  • An R package for estimating multiplicative mixed-frequency GARCH models (GARCH-MIDAS) as proposed in Engle et al. (2013)
  • Can be installed from CRAN
  • Development version can be found in its Github repository
  • Creator and maintainer

R package: alfred

  • Provides direct access to the FRED and ALFRED databases. Its functions return tidy data frames for different releases of the specified time series.
  • Can be installed from CRAN
  • Development version can be found in its Github repository
  • Creator and maintainer

R package: highfrequency

  • Provides functionality to manage, clean and match highfrequency trades and quotes data, calculate various liquidity measures, estimate and forecast volatility, detect price jumps and investigate microstructure noise and intraday periodicity.
  • Can be installed from CRAN
  • Development version can be found in its Github repository
  • Author