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researcher

M. Crane

9 papers hereh-index 231.8k citations111 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author7

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • q-fin.ST4
  • physics.data-an2
  • cs.CY1
  • cs.LG1
  • q-fin.CP1
same name
  • M. Crane — 5 papers, h 15
  • M. Crane — 3 papers, h 4
  • M. Crane — 1 paper, h 7
  • M. Crane — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20062023
most citedCross-Correlation Dynamics in Financial Time Series

76 citations · 199 across the 8 of their papers we have counts for

collaborators
Showing q-fin.STShow all

4 papers · 1 filter

q-fin.ST2022

Analysis of inter-transaction time fluctuations in the cryptocurrency market

Jarosław Kwapień, Marcin Wątorek, Marija Bezbradica +3

We analyse tick-by-tick data representing major cryptocurrencies traded on some different cryptocurrency trading platforms. We focus on such quantities like the inter-transaction t…

q-fin.ST2010★ 61 cited

Random Matrix Theory and Fund of Funds Portfolio Optimisation

Thomas Conlon, Heather J. Ruskin, Martin Crane

The proprietary nature of Hedge Fund investing means that it is common practise for managers to release minimal information about their returns. The construction of a Fund of Hedge…

q-fin.ST2010★ 76 cited

Cross-Correlation Dynamics in Financial Time Series

Thomas Conlon, Heather J. Ruskin, Martin Crane

The dynamics of the equal-time cross-correlation matrix of multivariate financial time series is explored by examination of the eigenvalue spectrum over sliding time windows. Empir…

q-fin.ST2010★ 19 cited

Multiscaled Cross-Correlation Dynamics in Financial Time-Series

Thomas Conlon, Heather J. Ruskin, Martin Crane

The cross correlation matrix between equities comprises multiple interactions between traders with varying strategies and time horizons. In this paper, we use the Maximum Overlap D…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.