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Details about Simon Clinet

Homepage:http://user.keio.ac.jp/~clinet/
Workplace:Faculty of Economics, Keio University, (more information at EDIRC)

Access statistics for papers by Simon Clinet.

Last updated 2026-09-03. Update your information in the RePEc Author Service.

Short-id: pcl144


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Working Papers

2021

  1. Cointegration in high frequency data
    Papers, arXiv.org Downloads
  2. Optimal trading: a model predictive control approach
    Papers, arXiv.org Downloads View citations (1)
  3. Quasi-likelihood analysis for marked point processes and application to marked Hawkes processes
    Papers, arXiv.org Downloads View citations (1)
    See also Journal Article Quasi-likelihood analysis for marked point processes and application to marked Hawkes processes, Statistical Inference for Stochastic Processes, Springer (2022) Downloads (2022)

2020

  1. Estimation for high-frequency data under parametric market microstructure noise
    Papers, arXiv.org Downloads View citations (5)
    See also Journal Article Estimation for high-frequency data under parametric market microstructure noise, Annals of the Institute of Statistical Mathematics, Springer (2021) Downloads View citations (5) (2021)

2019

  1. Asymptotic Distribution of the Score Test for Detecting Marks in Hawkes Processes
    Research Paper Series, Quantitative Finance Research Centre, University of Technology, Sydney Downloads View citations (1)
    See also Journal Article Asymptotic distribution of the score test for detecting marks in hawkes processes, Statistical Inference for Stochastic Processes, Springer (2021) Downloads View citations (1) (2021)
  2. Testing if the market microstructure noise is fully explained by the informational content of some variables from the limit order book
    Papers, arXiv.org Downloads View citations (11)
    See also Journal Article Testing if the market microstructure noise is fully explained by the informational content of some variables from the limit order book, Journal of Econometrics, Elsevier (2019) Downloads View citations (8) (2019)

2018

  1. Efficient asymptotic variance reduction when estimating volatility in high frequency data
    Papers, arXiv.org Downloads View citations (6)
    See also Journal Article Efficient asymptotic variance reduction when estimating volatility in high frequency data, Journal of Econometrics, Elsevier (2018) Downloads View citations (7) (2018)

2017

  1. Statistical inference for the doubly stochastic self-exciting process
    Papers, arXiv.org Downloads View citations (7)

Journal Articles

2022

  1. Quasi-likelihood analysis for marked point processes and application to marked Hawkes processes
    Statistical Inference for Stochastic Processes, 2022, 25, (2), 189-225 Downloads
    See also Working Paper Quasi-likelihood analysis for marked point processes and application to marked Hawkes processes, Papers (2021) Downloads View citations (1) (2021)

2021

  1. Asymptotic distribution of the score test for detecting marks in hawkes processes
    Statistical Inference for Stochastic Processes, 2021, 24, (3), 635-668 Downloads View citations (1)
    See also Working Paper Asymptotic Distribution of the Score Test for Detecting Marks in Hawkes Processes, Research Paper Series (2019) Downloads View citations (1) (2019)
  2. Disentangling Sources of High Frequency Market Microstructure Noise
    Journal of Business & Economic Statistics, 2021, 39, (1), 18-39 Downloads View citations (6)
  3. Estimation for high-frequency data under parametric market microstructure noise
    Annals of the Institute of Statistical Mathematics, 2021, 73, (4), 649-669 Downloads View citations (5)
    See also Working Paper Estimation for high-frequency data under parametric market microstructure noise, Papers (2020) Downloads View citations (5) (2020)

2019

  1. Testing if the market microstructure noise is fully explained by the informational content of some variables from the limit order book
    Journal of Econometrics, 2019, 209, (2), 289-337 Downloads View citations (8)
    See also Working Paper Testing if the market microstructure noise is fully explained by the informational content of some variables from the limit order book, Papers (2019) Downloads View citations (11) (2019)

2018

  1. Efficient asymptotic variance reduction when estimating volatility in high frequency data
    Journal of Econometrics, 2018, 206, (1), 103-142 Downloads View citations (7)
    See also Working Paper Efficient asymptotic variance reduction when estimating volatility in high frequency data, Papers (2018) Downloads View citations (6) (2018)

2017

  1. Statistical inference for ergodic point processes and application to Limit Order Book
    Stochastic Processes and their Applications, 2017, 127, (6), 1800-1839 Downloads View citations (20)
 
Page updated 2026-09-08