JOURNAL ARTICLE

Well-balanced Lévy driven Ornstein-Uhlenbeck processes

Alexander SchnurrJeannette H. C. Woerner

Year: 2010 Journal:   Technische Universität Dortmund Eldorado (Technische Universität Dortmund)   Publisher: Erich-Brost-Institut

Abstract

In this paper we introduce the well-balanced Lévy driven Ornstein-Uhlenbeck process as a moving average process of the form X_t=integral(exp(-lambda*|t-u|)dL_u). In contrast to Lévy driven Ornstein-Uhlenbeck processes the well-balanced form possesses continuous sample paths and an autocorrelation function which is decreasing more slowly. Furthermore, depending on the size of lambda it allows both for positive and negative correlation of increments. As Ornstein-Uhlenbeck processes X_t is a stationary process starting at X_0=integral(exp(-lambda*u)dL_u). However, by taking a difference kernel we can construct a process with stationary increments starting at zero, which possesses the same correlation structure.

Keywords:
Ornstein–Uhlenbeck process Mathematics Autocorrelation Kernel (algebra) Statistical physics Mathematical analysis Stochastic process Pure mathematics Statistics Physics

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13
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2.19
FWCI (Field Weighted Citation Impact)
17
Refs
0.91
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Citation History

Topics

Stochastic processes and financial applications
Social Sciences →  Economics, Econometrics and Finance →  Finance
Financial Risk and Volatility Modeling
Social Sciences →  Economics, Econometrics and Finance →  Finance
Stochastic processes and statistical mechanics
Physical Sciences →  Mathematics →  Mathematical Physics

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