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Abdullah Karasan

4 papers hereh-index 29 citations9 works total

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

author position
  • sole author1
  • first author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • q-fin.CP1
  • q-fin.RM1
  • q-fin.ST1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedMachine learning approach to stock price crash risk

5 citations · 5 across the 3 of their papers we have counts for

collaborators

4 papers

stat.ML2026

Representation Measurements Under Function-Preserving Reparameterizations

Abdullah Karasan

Hidden coordinates are not uniquely determined by a language model's input--output function, so representation-derived measurements should be invariant to function-preserving chang…

q-fin.ST2026

Statistical Properties and Power Analysis of Divergence Measures for Credit Risk Model Monitoring

Abdullah Karasan, Alper Hekimoğlu

Divergence measures are essential tools for detecting distributional shifts in model monitoring, particularly crucial given the volatility of financial data. While the Population S…

q-fin.RM2025

Signal from Noise Signal from Noise: A Neural Network-Based Denoising Approach for Measuring Global Financial Spillovers

Abdullah Karasan, Özge Sezgin Alp

Filtering signal from noise is fundamental to accurately assessing spillover effects in financial markets. This study investigates denoised return and volatility spillovers across…

q-fin.CP2025★ 5 cited

Machine learning approach to stock price crash risk

Abdullah Karasan, Ozge Sezgin Alp, Gerhard-Wilhelm Weber

In this study, we propose a novel machine-learning-based measure for stock price crash risk, utilizing the minimum covariance determinant methodology. Employing this newly introduc…

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