Statistical Physics Approach to High-Frequency Finance
M. Politi, и E. Scalas. Abstract Book of the XXIII IUPAP International Conference on Statistical Physics, Genova, Italy, (9-13 July 2007)
Аннотация
Based on the continuous-time random walk (CTRW) model for
high-frequency financial data, we present some recent results
on the following issues:
itemize
We analyze the structure of waiting times between consecutive trades and fit them with Tsallis' $q$-exponentials and Weibull functions. Moreover, we discuss the activity spectrum based on a well-known inverse problem.
We define stochastic integrals on CTRWs and we study the (non-Markovian) case of non-exponentially distributed waiting times.
We price options written on CTRWs using Martingale methods.
itemize
%0 Book Section
%1 statphys23_0393
%A Politi, M.
%A Scalas, E.
%B Abstract Book of the XXIII IUPAP International Conference on Statistical Physics
%C Genova, Italy
%D 2007
%E Pietronero, Luciano
%E Loreto, Vittorio
%E Zapperi, Stefano
%K continuous-time econophysics integration option pricing random renewal statphys23 stochastic theory topic-11 walks
%T Statistical Physics Approach to High-Frequency Finance
%U http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=393
%X Based on the continuous-time random walk (CTRW) model for
high-frequency financial data, we present some recent results
on the following issues:
itemize
We analyze the structure of waiting times between consecutive trades and fit them with Tsallis' $q$-exponentials and Weibull functions. Moreover, we discuss the activity spectrum based on a well-known inverse problem.
We define stochastic integrals on CTRWs and we study the (non-Markovian) case of non-exponentially distributed waiting times.
We price options written on CTRWs using Martingale methods.
itemize
@incollection{statphys23_0393,
abstract = {Based on the continuous-time random walk (CTRW) model for
high-frequency financial data, we present some recent results
on the following issues:
\begin{itemize}
\item We analyze the structure of waiting times between consecutive trades and fit them with Tsallis' $q$-exponentials and Weibull functions. Moreover, we discuss the activity spectrum based on a well-known inverse problem.
\item We define stochastic integrals on CTRWs and we study the (non-Markovian) case of non-exponentially distributed waiting times.
\item We price options written on CTRWs using Martingale methods.
\end{itemize}},
added-at = {2007-06-20T10:16:09.000+0200},
address = {Genova, Italy},
author = {Politi, M. and Scalas, E.},
biburl = {https://www.bibsonomy.org/bibtex/23167c350008eef4a056086daec831755/statphys23},
booktitle = {Abstract Book of the XXIII IUPAP International Conference on Statistical Physics},
editor = {Pietronero, Luciano and Loreto, Vittorio and Zapperi, Stefano},
interhash = {5d2dc444ef6f668f7707a51a8f0bc43b},
intrahash = {3167c350008eef4a056086daec831755},
keywords = {continuous-time econophysics integration option pricing random renewal statphys23 stochastic theory topic-11 walks},
month = {9-13 July},
timestamp = {2007-06-20T10:16:19.000+0200},
title = {Statistical Physics Approach to High-Frequency Finance},
url = {http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=393},
year = 2007
}