2009/07/15 by Jay Rosen, Rosen, Jay
Decision Sciences · Economics, Econometrics and Finance · Mathematics · #60F05 #60J55 #60J65 #FOS: Mathematics #Probability (math.PR) #Probability and Risk Models #Stochastic processes and financial applications #Stochastic processes and statistical mechanics #math.PR #msc:60F05 #msc:60J55 #msc:60J65
paper · pdf · doi:10.48550/arxiv.0907.2693
openalex publication_date 2009/07/15 · arxiv created 2009/10/20 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Let \Lxt ; (x,t)∈ R1× R1+\ denote the local time of Brownian motion. Our main result is to show that for each fixed t ∫ (Lx+ht- Lxt)3 dx-12h∫ (Lx+ht - Lxt)Lxt dx-24h2t\over h2 \stackrelL\Longrightarrow√(192)(∫ (Lxt)3dx)1/2η as h→ 0, where η is a normal random variable with mean zero and variance one that is independent of Lxt. This generalizes our previous result for the second moment. We also explain why our approach will not work for higher moments