Ines Wilms : Citation Profile


Are you Ines Wilms?

Maastricht University

6

H index

5

i10 index

113

Citations

RESEARCH PRODUCTION:

13

Articles

12

Papers

RESEARCH ACTIVITY:

   7 years (2016 - 2023). See details.
   Cites by year: 16
   Journals where Ines Wilms has often published
   Relations with other researchers
   Recent citing documents: 21.    Total self citations: 5 (4.24 %)

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   Permalink: http://citec.repec.org/pwi441
   Updated: 2024-01-16    RAS profile: 2024-01-08    
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Relations with other researchers


Works with:

Smeekes, Stephan (4)

Barbaglia, Luca (2)

Hecq, Alain (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Ines Wilms.

Is cited by:

Hecq, Alain (7)

Smeekes, Stephan (6)

Ben Amar, Amine (5)

Claveria, Oscar (5)

Johansen, Soren (4)

Goutte, Stéphane (4)

Tiwari, Aviral (3)

Hallin, Marc (3)

Berenguer-Rico, Vanessa (3)

Cubadda, Gianluca (3)

Barigozzi, Matteo (3)

Cites to:

Diebold, Francis (22)

Marcellino, Massimiliano (13)

Chernozhukov, Victor (12)

Hecq, Alain (11)

Giannone, Domenico (11)

serra, teresa (11)

Bollerslev, Tim (11)

Corsi, Fulvio (10)

Reichlin, Lucrezia (10)

Medeiros, Marcelo (10)

Yilmaz, Kamil (9)

Main data


Where Ines Wilms has published?


Journals with more than one article published# docs
European Journal of Operational Research2
International Journal of Forecasting2
Energy Economics2

Working Papers Series with more than one paper published# docs
Papers / arXiv.org11

Recent works citing Ines Wilms (2024 and 2023)


YearTitle of citing document
2023Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions. (2023). Hecq, Alain ; Wilms, Ines ; Ternes, Marie. In: Papers. RePEc:arx:papers:2301.10592.

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2023Sparse High-Dimensional Vector Autoregressive Bootstrap. (2023). Wilms, Ines ; Smeekes, Stephan ; Adamek, Robert. In: Papers. RePEc:arx:papers:2302.01233.

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2023Inference in Non-stationary High-Dimensional VARs. (2023). Smeekes, Stephan ; Margaritella, Luca. In: Papers. RePEc:arx:papers:2302.01434.

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2023Expected Shortfall LASSO. (2023). Barendse, Sander. In: Papers. RePEc:arx:papers:2307.01033.

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2023Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects. (2023). Dong, Xiaowen ; Cucuringu, Mihai ; Pu, Xingyue ; Zhang, Chao. In: Papers. RePEc:arx:papers:2308.01419.

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2023Econometrics of Machine Learning Methods in Economic Forecasting. (2023). Striaukas, Jonas ; Ghysels, Eric ; Babii, Andrii. In: Papers. RePEc:arx:papers:2308.10993.

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2023High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods. (2023). Katsouris, Christis. In: Papers. RePEc:arx:papers:2308.16192.

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2023Multivariate sparse Laplacian shrinkage for joint estimation of two graphical structures. (2023). Yang, HU ; Xia, Siwei. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:178:y:2023:i:c:s0167947322002006.

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2023Robust regression under the general framework of bounded loss functions. (2023). Tang, Long ; Tian, Yingjie ; Fu, Saiji. In: European Journal of Operational Research. RePEc:eee:ejores:v:310:y:2023:i:3:p:1325-1339.

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2023Scrutinizing commodity markets by quantile spillovers: A case study of the Australian economy. (2023). Roubaud, David ; Tiwari, Aviral Kumar ; Roudari, Soheil ; Asadi, Mehrad. In: Energy Economics. RePEc:eee:eneeco:v:118:y:2023:i:c:s0140988322006119.

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2023Realized higher-order moments spillovers across cryptocurrencies. (2023). Apergis, Nicholas. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:85:y:2023:i:c:s1042443123000318.

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2023Dynamic connectedness in commodity futures markets during Covid-19 in India: New evidence from a TVP-VAR extended joint connectedness approach. (2023). Olson, Dennis ; Mishra, Aswini Kumar ; Patnaik, Debasis ; Arunachalam, Vairam. In: Resources Policy. RePEc:eee:jrpoli:v:82:y:2023:i:c:s0301420723001988.

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2023An Analysis of Dynamic Correlations among Oil, Natural Gas and Ethanol Markets: New Evidence from the Pre- and Post-COVID-19 Crisis. (2023). Ferreira, Paulo ; Oliveira, Marcia ; Ogino, Cristiane ; Quintino, Derick. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:5:p:2349-:d:1084017.

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2023The Moderating Effect of the COVID-19 Pandemic on the Relation between Corporate Governance and Firm Performance. (2023). Mohammadhosseini, Elaheh ; Akbari, Maryam ; Hosseiny, Zeynab Nourbakhsh ; Tarighi, Hossein. In: JRFM. RePEc:gam:jjrfmx:v:16:y:2023:i:7:p:306-:d:1177555.

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2023.

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2023.

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2023Penalized leads-and-lags cointegrating regression: a simulation study and two empirical applications. (2023). Neto, David. In: Empirical Economics. RePEc:spr:empeco:v:65:y:2023:i:2:d:10.1007_s00181-023-02362-5.

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2023High frequency volatility spillover between oil and non-energy commodities during crisis and tranquil periods. (2023). Peter, Jonathan Mukiza ; Marobhe, Mutaju Isaack. In: SN Business & Economics. RePEc:spr:snbeco:v:3:y:2023:i:4:d:10.1007_s43546-023-00463-y.

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2023Forecasting Chinas stock market volatility with shrinkage method: Can Adaptive Lasso select stronger predictors from numerous predictors?. (2023). Xu, Yongan ; Liang, Chao ; Chen, Zhonglu. In: International Journal of Finance & Economics. RePEc:wly:ijfiec:v:28:y:2023:i:4:p:3689-3699.

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2023.

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Works by Ines Wilms:


YearTitleTypeCited
2016Commodity Dynamics: A Sparse Multi-class Approach In: Papers.
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paper6
2016Commodity dynamics: A sparse multi-class approach.(2016) In: Energy Economics.
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This paper has nother version. Agregated cites: 6
article
2017Volatility Spillovers and Heavy Tails: A Large t-Vector AutoRegressive Approach In: Papers.
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paper0
2022Lasso Inference for High-Dimensional Time Series In: Papers.
[Full Text][Citation analysis]
paper5
2023Lasso inference for high-dimensional time series.(2023) In: Journal of Econometrics.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 5
article
2022bootUR: An R Package for Bootstrap Unit Root Tests In: Papers.
[Full Text][Citation analysis]
paper0
2021Tree-based Node Aggregation in Sparse Graphical Models In: Papers.
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paper0
2022Hierarchical Regularizers for Mixed-Frequency Vector Autoregressions In: Papers.
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paper2
2022Detecting Anti-dumping Circumvention: A Network Approach In: Papers.
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paper0
2023Local Projection Inference in High Dimensions In: Papers.
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paper0
2023Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions In: Papers.
[Full Text][Citation analysis]
paper1
2023Sparse High-Dimensional Vector Autoregressive Bootstrap In: Papers.
[Full Text][Citation analysis]
paper0
2023Fast Forecasting of Unstable Data Streams for On-Demand Service Platforms In: Papers.
[Full Text][Citation analysis]
paper0
2018Multiclass vector auto?regressive models for multistore sales data In: Journal of the Royal Statistical Society Series C.
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article1
2016Discussion of ‘Asymptotic Theory of Outlier Detection Algorithms for Linear Time Series Regression Models’ In: Scandinavian Journal of Statistics.
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article0
2016The predictive power of the business and bank sentiment of firms: A high-dimensional Granger Causality approach In: European Journal of Operational Research.
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article12
2022Sparse regression for large data sets with outliers In: European Journal of Operational Research.
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article3
2020Volatility spillovers in commodity markets: A large t-vector autoregressive approach In: Energy Economics.
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article31
2016Forecasting using sparse cointegration In: International Journal of Forecasting.
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article19
2021Multivariate volatility forecasts for stock market indices In: International Journal of Forecasting.
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article14
2016Identifying Demand Effects in a Large Network of Product Categories In: Journal of Retailing.
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article11
2018White heteroscedasticty testing after outlier removal In: Economics Series Working Papers.
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paper5
2021Heteroscedasticity testing after outlier removal In: Econometric Reviews.
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article0
2018An algorithm for the multivariate group lasso with covariance estimation In: Journal of Applied Statistics.
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article3
2023Sparse Identification and Estimation of Large-Scale Vector AutoRegressive Moving Averages In: Journal of the American Statistical Association.
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article0

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