activity
20072020
most citedAsymptotic theory of least squares estimators for nearly unstable processes under strong dependence

42 citations · 89 across the 8 of their papers we have counts for

collaborators

11 papers

math.PR2020

Necessity of weak subordination for some strongly subordinated Lévy processes

Boris Buchmann, Kevin W. Lu

Consider the strong subordination of a multivariate Lévy process with a multivariate subordinator. If the subordinate is a stack of independent Lévy processes and the components of…

stat.ME2018

Calibration for Weak Variance-Alpha-Gamma Processes

Boris Buchmann, Kevin W. Lu, Dilip B. Madan

The weak variance-alpha-gamma process is a multivariate Lévy process constructed by weakly subordinating Brownian motion, possibly with correlated components with an alpha-gamma su…

math.PR2017

Selfdecomposability of Weak Variance Generalised Gamma Convolutions

Boris Buchmann, Kevin W. Lu, Dilip B. Madan

Weak variance generalised gamma convolution processes are multivariate Brownian motions weakly subordinated by multivariate Thorin subordinators. Within this class, we extend a res…

math.PR2016

Functional Laws for Trimmed Levy Processes

Boris Buchmann, Yuguang F. Ipsen, Ross A. Maller

Two different ways of trimming the sample path of a stochastic process in D[0, 1]: global ("trim as you go") trimming and record time ("lookback") trimming are analysed to find con…

math.PR2016

Weak Subordination of Multivariate Lévy Processes and Variance Generalised Gamma Convolutions

Boris Buchmann, Kevin Lu, Dilip B. Madan

Subordinating a multivariate Lévy process, the subordinate, with a univariate subordinator gives rise to a pathwise construction of a new Lévy process, provided the subordinator an…

math.PR2016

Processes of rth Largest

Boris Buchmann, Ross Maller, Sidney Resnick

For integers , we treat the th largest of a sample of size as an -valued stochastic process in which we denote . We show th…

q-fin.MF2015★ 2 cited

Multivariate Subordination using Generalised Gamma Convolutions with Applications to V.G. Processes and Option Pricing

Boris Buchmann, Benjamin Kaehler, Ross Maller +1

We unify and extend a number of approaches related to constructing multivariate Variance-Gamma (V.G.) models for option pricing. An overarching model is derived by subordinating mu…

math.PR2014★ 17 cited

Distributional representations and dominance of a Lévy process over its maximal jump processes

Boris Buchmann, Yuguang Fan, Ross A. Maller

Distributional identities for a Lévy process , its quadratic variation process and its maximal jump processes, are derived, and used to make "small time" (as $t\downarro…

math.ST2012★ 14 cited

Limit experiments of GARCH

Boris Buchmann, Gernot Müller

GARCH is one of the most prominent nonlinear time series models, both widely applied and thoroughly studied. Recently, it has been shown that the COGARCH model (which was introduce…

math.PR2009★ 14 cited

Integrated functionals of normal and fractional processes

Boris Buchmann, Ngai Hang Chan

Consider , , , where is a normal process and is a measurable real-valued function satisfying $Ef(N_0)^…

math.ST2007★ 42 cited

Asymptotic theory of least squares estimators for nearly unstable processes under strong dependence

Boris Buchmann, Ngai Hang Chan

This paper considers the effect of least squares procedures for nearly unstable linear time series with strongly dependent innovations. Under a general framework and appropriate sc…