Mehmet Caner

Mehmet Caner

North Carolina State University

H-index: 22

North America-United States

About Mehmet Caner

Mehmet Caner, With an exceptional h-index of 22 and a recent h-index of 16 (since 2020), a distinguished researcher at North Carolina State University, specializes in the field of big data, high dimensional econometrics, big data finance, international finance.

His recent articles reflect a diverse array of research interests and contributions to the field:

Should Humans Lie to Machines? The Incentive Compatibility of Lasso and GLM Structured Sparsity Estimators

Navigating Complexity: Constrained Portfolio Analysis in High Dimensions with Tracking Error and Weight Constraints

Investigating Integration and Exchange Rate Pass-Through in World Maize Markets Using Post-LASSO Inference

Uniform Inference in High-Dimensional Threshold Regression Models

Generalized linear models with structured sparsity estimators

Sharpe ratio analysis in high dimensions: Residual-based nodewise regression in factor models

Deep Learning with Non-Linear Factor Models: Adaptability and Avoidance of Curse of Dimensionality

Deep Learning Based Residuals in Non-linear Factor Models: Precision Matrix Estimation of Returns with Low Signal-to-Noise Ratio

Mehmet Caner Information

University

Position

___

Citations(all)

4151

Citations(since 2020)

1425

Cited By

3562

hIndex(all)

22

hIndex(since 2020)

16

i10Index(all)

34

i10Index(since 2020)

21

Email

University Profile Page

North Carolina State University

Google Scholar

View Google Scholar Profile

Mehmet Caner Skills & Research Interests

big data

high dimensional econometrics

big data finance

international finance

Top articles of Mehmet Caner

Title

Journal

Author(s)

Publication Date

Should Humans Lie to Machines? The Incentive Compatibility of Lasso and GLM Structured Sparsity Estimators

Journal of Business & Economic Statistics

Mehmet Caner

Kfir Eliaz

2024/2/6

Navigating Complexity: Constrained Portfolio Analysis in High Dimensions with Tracking Error and Weight Constraints

arXiv preprint arXiv:2402.17523

Mehmet Caner

Qingliang Fan

Yingying Li

2024/2/27

Investigating Integration and Exchange Rate Pass-Through in World Maize Markets Using Post-LASSO Inference

Hongqiang Yan

Barry K Goodwin

Mehmet Caner

2023/12/24

Uniform Inference in High-Dimensional Threshold Regression Models

Hongqiang Yan

M Caner

2023/10/21

Generalized linear models with structured sparsity estimators

Journal of Econometrics

Mehmet Caner

2023/10/1

Sharpe ratio analysis in high dimensions: Residual-based nodewise regression in factor models

Journal of Econometrics

Mehmet Caner

Marcelo Medeiros

Gabriel FR Vasconcelos

2023/8/1

Deep Learning with Non-Linear Factor Models: Adaptability and Avoidance of Curse of Dimensionality

arXiv preprint arXiv:2209.04512

Mehmet Caner

Maurizio Daniele

2022/9/12

Deep Learning Based Residuals in Non-linear Factor Models: Precision Matrix Estimation of Returns with Low Signal-to-Noise Ratio

arXiv preprint arXiv:2209.04512

Mehmet Caner

Maurizio Daniele

2022/9/9

A Starting Note: A Historical Perspective in Lasso

Mehmet Caner

2021/3/9

Shoiuld Humans Lie to Machines: The Incentive Compatibility of Lasso and General Weighted Lasso

arXiv preprint arXiv:2101.01144

Mehmet Caner

Kfir Eliaz

2021/1/4

An upper bound for functions of estimators in high dimensions

Econometric Reviews

Mehmet Caner

Xu Han

2021/1/2

Partners in debt: An endogenous non-linear analysis of the effects of public and private debt on growth

International Review of Economics & Finance

Mehmet Caner

Qingliang Fan

Thomas Grennes

2021/11/1

Residual based nodewise regression in factor models with ultra-high dimensions: Analysis of mean-variance portfolio efficiency and estimation of out-of-sample and constrained …

Mehmet Caner

Marcelo C Medeiros

Gabriel FR Vasconcelos

2021

Non-manipulable machine learning: The incentive compatibility of lasso

Mehmet Caner

Kfir Eliaz

2021/4/4

A nodewise regression approach to estimating large portfolios

Journal of Business & Economic Statistics

Laurent Callot

Mehmet Caner

A Özlem Önder

Esra Ulaşan

2021/3/20

Sharpe Ratio in High Dimensions: Cases of Maximum Out of Sample, Constrained Maximum, and Optimal Portfolio Choice

Mehmet Caner

Marcelo Medeiros

Gabriel FR Vasconcelos

2020/2/3

Inference in partially identified models with many moment inequalities using Lasso

Journal of Statistical Planning and Inference

Federico A Bugni

Mehmet Caner

Anders Bredahl Kock

Soumendra Lahiri

2020/5/1

See List of Professors in Mehmet Caner University(North Carolina State University)