2012/02/24 by John A. D. Appleby, Appleby, John A. D., John A. Daniels +3
Economics, Econometrics and Finance · Mathematics · #45D05 #60G10 #60G15 #60H10 #91B84 #91G80 #Classical Analysis and ODEs (math.CA) #Complex Systems and Time Series Analysis #Computational Finance (q-fin.CP) #Dynamical Systems (math.DS) #FOS: Economics and business #FOS: Mathematics #Financial Risk and Volatility Modeling #Pricing of Securities (q-fin.PR) #Probability (math.PR) #Stochastic processes and financial applications #math.CA #math.DS #math.PR #msc:45D05 #msc:60G10 #msc:60G15 #msc:60H10 #msc:91B84 #msc:91G80 #q-fin.CP #q-fin.PR
paper · pdf · doi:10.48550/arxiv.1202.5574
John Appleby and John Daniels were partially funded by the Science Foundation Ireland grant 07/MI/008 "Edgeworth Centre for Financial Mathematics". John Daniels was also partially funded by The Embark Initiative operated by the Irish Research Council for Science, Engineering and Technology (IRCSET) under the project "Volatility Models in Inefficient Markets". Katja Krol was supported by the Deutsche Telekom Stiftung
arxiv created 2012/02/24 · openalex publication_date 2012/02/24 · arxiv updated 2012/02/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This note develops a stochastic model of asset volatility. The volatility obeys a continuous-time autoregressive equation. Conditions under which the process is asymptotically stationary and possesses long memory are characterised. Connections with the class of ARCH(∞) processes are sketched.