Maximum loss and maximum gain of spectrally negative Levy processes
Ceren Vardar Acar, Mine Caglar

TL;DR
This paper derives the joint distribution of maximum loss and gain for spectrally negative Levy processes, providing new formulas and recovering known results for Brownian motion with drift, enhancing fluctuation theory understanding.
Contribution
It introduces explicit formulas for the joint distribution of maximum loss and gain for spectrally negative Levy processes, including marginal distributions and special cases.
Findings
Derived joint distribution formulas for maximum loss and gain.
Provided marginal distributions up to exponential time.
Recovered known results for Brownian motion with drift.
Abstract
The joint distribution of the maximum loss and the maximum gain is obtained for a spectrally negative Levy process until the passage time of a given level. Their marginal distributions up to an independent exponential time are also provided. The existing formulas for Brownian motion with drift are recovered using the particular scale functions.Keywords Maximum drawdown Maximum drawup Spectrally negative Reflected process Fluctuation theory
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · Advanced Queuing Theory Analysis · Stochastic processes and statistical mechanics
