The nature of randomness
Michael R. Powers
Journal of Risk Finance, 2008, vol. 9, issue 2, 101-105
Abstract:
Purpose - The purpose of the paper, in this two‐part series, is to consider certain intriguing aspects of randomness, the basic mathematical concept used to model financial risk and other unknown quantities in the physical world. Design/methodology/approach - In Part 2 of the paper, the author describes methods for simulating random variables, and explores whether it is possible in practice to distinguish between the knowable complexity of compressible random variables and the unknowable complexity of incompressible random variables. Findings - In Part 2 of the paper, it is found that because of Chaitin's impossibility result (regarding incompressible sequences) and the possibility of constructing least‐surprising sequences, one is left with two cognitive constraints with serious implications for statistical hypothesis testing and the scientific method. Originality/value - This two‐part paper explores the underlying nature of randomness in terms of both its physical/mathematical properties and its role in human cognition.
Keywords: Simulation; Random processes; Complexity theory; Uncertainty management (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (text/html)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (application/pdf)
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eme:jrfpps:15265940810853887
DOI: 10.1108/15265940810853887
Access Statistics for this article
Journal of Risk Finance is currently edited by Nawazish Mirza
More articles in Journal of Risk Finance from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().