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Maxim Ulrich

4 papers hereh-index 9350 citations23 works total

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

author position
  • middle author1
  • last author3

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

fields
  • stat.ML2
  • q-fin.CP1
  • q-fin.ST1

identity via Semantic Scholar / OpenAlex

most citedConditional Density Estimation with Neural Networks: Best Practices and Benchmarks

6 citations · 6 across the 2 of their papers we have counts for

collaborators

4 papers

q-fin.CP2026

Taming the Option Factor Zoo: A High-Dimensional Analysis

Alexander Walter, Lukas Zimmer, Maxim Ulrich

Option-implied factors are largely, but not entirely, spanned by the equity factor zoo. We construct 137 option-implied characteristics for optionable U.S. stocks from 2004 to 2023…

q-fin.ST2026

Cross-Market Alpha: Testing Short-Term Trading Factors in the U.S. Market via Double-Selection LASSO

Jin Du, Alexander Walter, Maxim Ulrich

We test whether 168 short-horizon price-volume signals from the Alpha191 library, originally developed for China's retail-dominated A-share market, contain pricing information for…

stat.ML2019

Noise Regularization for Conditional Density Estimation

Jonas Rothfuss, Fabio Ferreira, Simon Boehm +4

Modelling statistical relationships beyond the conditional mean is crucial in many settings. Conditional density estimation (CDE) aims to learn the full conditional probability den…

stat.ML2019★ 6 cited

Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks

Jonas Rothfuss, Fabio Ferreira, Simon Walther +1

Given a set of empirical observations, conditional density estimation aims to capture the statistical relationship between a conditional variable x and a dependent varia…

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