Statistics Group Institute of Applied Mathematics Faculty of Mathematics University of Heidelberg


Univ. Heidelberg University of Heidelberg
Institute of Applied Mathematics
Statistics Group

Dr. Jan C. Neddermeyer


Foto


I now work at DZ BANK AG in Frankfurt


neddermeyer [AT] statlab.uni-heidelberg.de


Research Interests

  • Monte Carlo Methods
  • Time Series Analysis
  • Synchronization
  • Computational Finance
  • Statistical Arbitrage

Publications/Preprints

  • Dahlhaus, R. and Neddermeyer, J. C. (2010a), Particle Filter-Based On-Line Estimation of Spot Volatility with Nonlinear Market Microstructure Noise Models,
    • Preprint: Version June 2010 pdf, Version March 2011 pdf
  • Dahlhaus, R. and Neddermeyer, J. C. (2010b), On-Line Estimation of Spot Cross-Volatility with a State-Space Model for Non-Synchronous Tick-by-Tick Data,
    • Preprint.
  • Kunkel, J., Neddermeyer, J. C., and Ludwig, T. (2010), Classification of network computers based on distributed of ICMP-echo round-trip times,
    • Research Papers, Staats- und Universitätsbibliothek Hamburg (Carl von Ossietzky, Von-Melle-Park 3, 20146 Hamburg) pdf
  • Neddermeyer, J. C. (2010a), Nonparametric Partial Importance Sampling for Financial Derivative Pricing,
    • Quantitative Finance, in press. Preprint: pdf
  • Neddermeyer, J. C. (2010b), Nonparametric Particle Filtering and Smoothing with Quasi-Monte Carlo Sampling,
    • Journal of Statistical Computation and Simulation, in press.
  • Dahlhaus, R. and Neddermeyer, J. C. (2009), Bayesian Phase Estimation for Noisy Quasi-Periodic Time Series,
    • Preprint.
  • Neddermeyer, J. C. (2009), Computationally Efficient Nonparametric Importance Sampling,

Conference/Workshop Presentations

  • Nonlinear Market Microstructure Noise Models, Particle Filter-based On-line Estimation of Spot Cross-Volatility, and State-Space Models for Non-Synchronous Tick-by-Tick Data,
    • GPGPU Workshop, Research & Advisory Deutsche Börse Systems AG, Frankfurt, Germany, 25th March 2010
  • Nonlinear Market Microstructure Noise Models, Particle Filter-based On-line Estimation of Spot Cross-Volatility, and State-Space Models for Non-Synchronous Tick-by-Tick Data,
    • NTH Workshop on Finance and Insurance Mathematics, Braunschweig, Germany, 8th March 2010
  • Nonlinear Market Microstructure Noise Models, Particle Filter-based On-line Estimation of Spot Cross-Volatility, and State-Space Models for Non-Synchronous Tick-by-Tick Data,
    • 9th German Open Conference on Probability and Statistics, Leipzig, Germany, 2nd March 2010, pdf
  • Online Estimation of Time-Varying Volatility and Co-Volatility for Tick-by-Tick Data: A Bayesian Approach,
    • 3rd International Conference on Computational and Financial Econometrics (CFE'09), Limassol, Cyprus, 30th October 2009
  • Nonlinear Market Microstructure Noise Models, Particle Filter-based On-line Estimation of Spot Cross-Volatility, and State-Space Models for Non-Synchronous Tick-by-Tick Data,
    • Annual Colloquium HGS MathComp, Heidelberg, Germany, 10th October 2009
  • Online Estimation of Time-Varying Volatility and Co-Volatility for Tick-by-Tick Data: A Bayesian Approach,
    • NBER-NSF Time Series Conference, Davis, USA, 11th September 2009
  • Nonparametric Partial Importance Sampling for Financial Derivative Pricing,
    • Commerzbank, Frankfurt, Germany, 25th May 2009, pdf
  • Nonparametric Partial Importance Sampling for Financial Derivative Pricing,
    • Humboldt-Copenhagen Conference, Berlin, Germany, 20th March 2009
  • Sequential Monte Carlo Methods with Applications,
    • Workshop on Monte Carlo Methods, Heidelberg, Germany, 22th January 2009, pdf
  • Phase Estimation for Noisy Oscillators,
    • International Workshop in Recent Advances in Time Series Analysis, Protaras, Cyprus, 10th June 2008

Thesis

  • Neddermeyer, J. C. (2010), Importance Sampling-Based Monte Carlo Methods with Applications to Quantitative Finance,
  • Neddermeyer, J. C. (2007), Statistische Arbitrage,
    • Diplomarbeit (Master thesis), in German.

Statistical Software

Teaching

  • Übungsbetrieb: Einführung in die Statistik SS 2007 (Prof. Dr. Dahlhaus)

CV (academic)

  • Fellow of the Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences (05/2008-08/2010)
  • University of Heidelberg, PhD student in statistics (09/2007-08/2010)
  • University of Bristol, Visiting student (09/2005-06/2006)
  • University of Heidelberg:
    • Mathematics with Scientific Computing, Diplom (equivalent to Master) (10/2002-01/2007)
    • Economics, Diplom (equivalent to Master) (10/2003 - 09/2007)
  • Allgemeine Hochschulreife (Abitur), Darmstadt (05/2002)