Kim Christensen
Finance · 2007–2017
A researcher in the Science corpus: 6 papers; trusts 45 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Finance — 197 citations into it; #1,469 of 10,518 by trust here, #1,777 by citations
- Economics and Econometrics — 128 citations into it; #3,057 of 23,481 by trust here, #4,442 by citations
- Statistics and Probability — 37 citations into it; #4,502 of 12,932 by trust here, #6,080 by citations
- Management Science and Operations Research — 16 citations into it; #9,262 of 11,946 by trust here, #6,024 by citations
- Mathematical Physics — 15 citations into it
- Artificial Intelligence — 11 citations into it
- Control and Systems Engineering — 6 citations into it
- Global and Planetary Change — 6 citations into it
Whom Kim Christensen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Torben G. Andersen
- F. Bandi
- Ole E. Barndorff-Nielsen
- P. R. Hansen
- Jean Jacod
- N. Shephard
- Tim Bollerslev
- Asger Lunde
- Per Aslak Mykland
- Roel C. A. Oomen
Who trusts Kim Christensen overall
- Andrew J. Patton
- Mark Podolskij
- Markus Bibinger
- Xinbing Kong
- Kevin Sheppard
- Asger Lunde
- Silja Kinnebrock
- Yacine Aït-Sahalia
- Nikolaus Hautsch
- Kris Boudt
Papers from Kim Christensen's perspective
Ordered by how strongly the researchers Kim Christensen trusts endorse each paper. Same corpus, a different order for every researcher.
- Separating Microstructure Noise from Volatility
- The jump-risk premia implicit in options: evidence from an integrated time-series study $
- The distribution of realized stock return volatility
- Econometrics of Testing for Jumps in Financial Economics Using Bipower Variation
- The Distribution of Realized Exchange Rate Volatility
- Econometric Analysis of Realised Covariation: High Frequency Covariance, Regression and Correlation in Financial Economics
- Econometric analysis of realized volatility and its use in estimating stochastic volatility models
- Power and bipower variation with stochastic volatility and jumps
- A study towards a unified approach to the joint estimation of objective and risk neutral measures for the purpose of options valuation
- The Impact of Jumps in Volatility and Returns
Their papers
- Pre-Averaging Estimators of the Ex-Post Covariance Matrix in Noisy Diffusion Models with Non-Synchronous Data (2010) — 245 citations
- Realized range-based estimation of integrated variance (2007) — 251 citations
- Realised quantile-based estimation of the integrated variance (2010) — 130 citations
- Fact or friction: jumps at ultra high frequency (2014) — 198 citations
- Is the diurnal pattern sufficient to explain intraday variation in volatility? A nonparametric assessment (2017) — 49 citations
- The drift burst hypothesis (2016) — 61 citations