The Theory of Intrinsic Time: A Primer
James B. Glattfelder, Richard B. Olsen

TL;DR
This paper explores the paradigm of intrinsic, event-based time in finance and economics, revealing new structures, scaling laws, and observer-dependent dynamics that challenge traditional continuous time analysis.
Contribution
It introduces the concept of intrinsic time as an alternative to continuous measures, highlighting its historical development, modern applications, and implications for complex systems and financial markets.
Findings
Reveals new structures and regularities in data
Identifies multiple scaling laws in complex systems
Shows time is observer-dependent and shaped by intrinsic activity
Abstract
The concept of time mostly plays a subordinate role in finance and economics. The assumption is that time flows continuously and that time series data should be analyzed at regular, equidistant intervals. Nonetheless, already nearly 60 years ago, the concept of an event-based measure of time was first introduced. This paper expands on this theme by discussing the paradigm of intrinsic time, its origins, history, and modern applications. Departing from traditional, continuous measures of time, intrinsic time proposes an event-based, algorithmic framework that captures the dynamic and fluctuating nature of real-world phenomena more accurately. Unsuspected implications arise in general for complex systems and specifically for financial markets. For instance, novel structures and regularities are revealed, otherwise obscured by any analysis utilizing equidistant time intervals. Of…
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
TopicsQuantum Mechanics and Applications · Chaos, Complexity, and Education · Advanced Thermodynamics and Statistical Mechanics
