Kim Christensen
Kim Christensen acquired his PhD from Aarhus School of Business, Aarhus University in 2007. His research interests include financial econometrics, particularly the modelling of financial market volatility. He has published in Journal of Econometrics.
Christensen, K., Podolskij, M. & Vetter, M. (2009). Bias-correcting the realised range-based variance in the presence of market microstructure noise. Finance and Stochastics, 13(2), 239-268. https://doi.org/10.1007/s00780-009-0089-9
Christensen, K. & Podolskij, M. (2007). Realized range-based estimation of integrated variance. Journal of Econometrics, 141(2), 323-349. https://doi.org/10.1016/j.jeconom.2006.06.012
Christensen, K., Oomen, R. & Podolskij, M. (2010). Realised quantile-based estimation of the integrated variance. Journal of Econometrics, 159(1), 74-98. https://doi.org/10.1016/j.jeconom.2010.04.008
Christensen, K., Kinnebrock, S. & Podolskij, M. (2010). Pre-averaging estimators of the ex-post covariance matrix in noisy diffusion models with non-synchronous data. Journal of Econometrics, 159(1), 116-133. https://doi.org/10.1016/j.jeconom.2010.05.001
Christensen, K. & Podolskij, M. (2012). Asymptotic theory of range-based multipower variation. Journal of Financial Econometrics, 10(3), 417-456. https://doi.org/10.1093/jjfinec/nbr019
Christensen, K., Podolskij, M. & Vetter, M. (2013). On covariation estimation for multivariate continuous Itô semimartingales with noise in non-synchronous observation schemes. Journal of Multivariate Analysis, 120, 59-84. https://doi.org/10.1016/j.jmva.2013.05.002
Christensen, K., Oomen, R. & Podolskij, M. (2014). Fact or friction: Jumps at ultra high frequency. Journal of Financial Economics, 114(3), 576-599. https://doi.org/10.1016/j.jfineco.2014.07.007
Christensen, K., Podolskij, M., Thamrongrat, N. & Veliyev, B. (2017). Inference from high-frequency data: A subsampling approach. Journal of Econometrics, 197(2), 245–272. https://doi.org/10.1016/j.jeconom.2016.07.010
Christensen, K., Hounyo, U. & Podolskij, M. (2018). Is the diurnal pattern sufficient to explain intraday variation in volatility? A nonparametric assessment. Journal of Econometrics, 205(2), 336-362. Advance online publication. https://doi.org/10.1016/j.jeconom.2018.03.016
Christensen, K., Thyrsgaard, M. & Veliyev, B. (2019). The realized empirical distribution function of stochastic variance with application to goodness-of-fit testing. Journal of Econometrics, 212(2), 556-583. https://doi.org/10.1016/j.jeconom.2019.06.002
Christensen, K., Christiansen, C. & Posselt, A. M. (2020). The economic value of VIX ETPs. Journal of Empirical Finance, 58, 121-138. https://doi.org/10.1016/j.jempfin.2020.05.009
Christensen, K., Oomen, R. & Renò, R. (2022). The drift burst hypothesis. Journal of Econometrics, 227(2), 461-497. https://doi.org/10.1016/j.jeconom.2020.11.004
Christensen, K., Nielsen, M. S. & Podolskij, M. (2023). High-dimensional estimation of quadratic variation based on penalized realized variance. Statistical Inference for Stochastic Processes, 26(2), 331-359. https://doi.org/10.1007/s11203-022-09282-8
Bolko, A. E., Christensen, K., Pakkanen, M. S. & Veliyev, B. (2023). A GMM approach to estimate the roughness of stochastic volatility. Journal of Econometrics, 235(2), 745-778. https://doi.org/10.1016/j.jeconom.2022.06.009
Bank, S., Christensen, K., Kristensen, L. H. & Prag, J. (2013). A cost-effectiveness analysis of identifying Fusobacterium necrophorum in throat swabs followed by antibiotic treatment to reduce the incidence of Lemierre's syndrome and peritonsillar abscesses. European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 32(1), 71-8. https://doi.org/10.1007/s10096-012-1715-6
