activity
20082014
most citedOn-line Spot Volatility-Estimation and Decomposition with Nonlinear Market Microstructure Noise Models

2 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

math.ST2014

Statistical Inference for Oscillation Processes

Rainer Dahlhaus, Thierry Dumont, Sylvain Le Corff +1

A new model for time series with a specific oscillation pattern is proposed. The model consists of a hidden phase process controlling the speed of polling and a nonparametric curve…

nlin.AO2012

On the relationship between the theory of cointegration and the theory of phase synchronization

Rainer Dahlhaus, István Z. Kiss, Jan C. Neddermeyer

The theory of cointegration has been a leading theory in econometrics with powerful applications to macroeconomics during the last decades. On the other hand the theory of phase sy…

stat.ME2010★ 2 cited

On-line Spot Volatility-Estimation and Decomposition with Nonlinear Market Microstructure Noise Models

Rainer Dahlhaus, Jan C. Neddermeyer

A technique for on-line estimation of spot volatility for high-frequency data is developed. The algorithm works directly on the transaction data and updates the volatility estimate…

stat.AP2008

Nonparametric Partial Importance Sampling for Financial Derivative Pricing

Jan C. Neddermeyer

Importance sampling is a promising variance reduction technique for Monte Carlo simulation based derivative pricing. Existing importance sampling methods are based on a parametric…

stat.ME2008★ 2 cited

Computationally Efficient Nonparametric Importance Sampling

Jan C. Neddermeyer

The variance reduction established by importance sampling strongly depends on the choice of the importance sampling distribution. A good choice is often hard to achieve especially…