Response to Johnson
A random sample versus the radical event
Bibliographic Data
| ID | 7774170 |
|---|---|
| Authors | Elie Ayache (corresponding author) |
| Year | 2016 |
| Volume | 2 |
| Issue | 2 |
| Pages | 205-216 |
| Publication date | 2016-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Finance and Society (JOURNAL) |
| Journal identifiers | ISSN: 2059-5999 • E-ISSN: 2059-5999 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.2218/finsoc.v2i2.1734 |
| OpenAlex | W2561941298 |
| Language | EN |
| Citations received | 2 |
| References cited | 6 |
Timothy Johnson's working hypothesis in his review of my latest book, The Medium of Contingency, is that I (as well as the ‘quants’ involved in the derivative pricing industry) do not understand the foundations of abstract probability theory. In this response, I show that this is not the case. On the contrary, rules and protocols which are common in the derivative pricing industry, the result of which can be an extension of abstract probability theory as it now stands, seem to elude Johnson. To address these failings, I provide theoretical reflections on probability theory and its formalisms
Contingency · Econometrics · Economics · Epistemology · Financial economics · Mathematical economics · Probability theory · Rotation formalisms in three dimensions · Statistics · Computer Science · Financial Risk and Volatility Modeling · Mathematics · Philosophy · Probability and Risk Models · Statistical Methods and Inference
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,33 |
| Citation span | 2020 - 2021 (2) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |