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Nestor Parolya

29 papers hereh-index 14685 citations39 works total

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

author position
  • first author2
  • middle author13
  • last author14

Across the 29 of 29 papers where every author was matched, so the position is known.

fields
  • math.ST12
  • q-fin.ST8
  • q-fin.PM7
  • math.OC1
  • math.PR1
same name
  • Nestor Parolya — 1 paper, h 0

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
20122024
most citedEstimation of the Global Minimum Variance Portfolio in High Dimensions

113 citations · 569 across the 28 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

math.PR2021★ 5 cited

Log determinant of large correlation matrices under infinite fourth moment

Johannes Heiny, Nestor Parolya

In this paper, we show the central limit theorem for the logarithmic determinant of the sample correlation matrix R constructed from the (p×n)-dimensional data m…

q-fin.ST2021★ 3 cited

Is the empirical out-of-sample variance an informative risk measure for the high-dimensional portfolios?

Taras Bodnar, Nestor Parolya, Erik Thorsén

The main contribution of this paper is the derivation of the asymptotic behaviour of the out-of-sample variance, the out-of-sample relative loss, and of their empirical counterpart…

q-fin.ST2021★ 6 cited

Dynamic Shrinkage Estimation of the High-Dimensional Minimum-Variance Portfolio

Taras Bodnar, Nestor Parolya, Erik Thorsen

In this paper, new results in random matrix theory are derived which allow us to construct a shrinkage estimator of the global minimum variance (GMV) portfolio when the shrinkage t…

math.ST2021★ 1 cited

Logarithmic law of large random correlation matrices

Nestor Parolya, Johannes Heiny, Dorota Kurowicka

Consider a random vector y=Σ1/2x, where the p elements of the vector x are i.i.d. real-valued random variables with zero mean and finite…

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