Search Results - subject:"PRINCIPAL COMPONENT" - EconBiz

Asymmetric roles of macroeconomic variables in the real exchange rate : insights from U.S.-Korea data

Behera, Sarthak; Kim, Hyeongwoo; Kim, Soohyon - 2025

Persistent link: https://www.econbiz.de/10015340148

Eigenvalue tests for the number of latent factors in short panels

Fortin, Alain-Philippe; Gagliardini, Patrick; Scaillet, … - 2025

Persistent link: https://www.econbiz.de/10015339146

What do simple short-term models say about the latest economic trends in Russia?

Simola, Heli - 2025

We consider the applicability of simple statistical models to Russia's short-term economic trends in a wartime context. We develop several composite indicators combining economic variables to predict Russian GDP trends both before and after the invasion if Ukraine in 2022. In addition, our SVAR...

Persistent link: https://www.econbiz.de/10015401980

New indicators for measuring financial conditions in a financially dollarized economy

Pérez Forero, Fernando - 2024

Persistent link: https://www.econbiz.de/10015165291

Equity markets and monetary policy surprises

Gupta, Mayank; Pawar, Amit; Kumar, Satyam; Borad, Abhinandan - 2024

Persistent link: https://www.econbiz.de/10014526606

What charge‐off rates are predictable by macroeconomic latent factors?

Kim, Hyeongwoo; Son, Jisoo - 2024

Persistent link: https://www.econbiz.de/10014514177

Predictive power of U.S. macroeconomic factors for the dollar/won real exchange rate

Behera, Sarthak; Kim, Hyeongwoo; Kim, Soohyon - 2024

Persistent link: https://www.econbiz.de/10014514179

Dimensionality reduction analysis of the renewable energy sector in Azerbaijan : nonparametric analyses of large datasets

Niftiyev, Ibrahim - In: Statistics in transition : an international journal of … 25 (2024) 2, pp. 81-102

on nonparametric dimensionality reduction are rather sparse. Principal component analysis (PCA) and multiple …

Persistent link: https://www.econbiz.de/10015125542

Weighted compositional functional data analysis for modeling and forecasting life-table death counts

Shang, Han Lin; Haberman, Steven - In: Journal of forecasting 43 (2024) 8, pp. 3051-3071

Persistent link: https://www.econbiz.de/10015110599

Optimizing data aggregation and clustering in Internet of things networks using principal component analysis and Q-learning

Bajpai, Abhishek; Verma, Harshita; Yadav, Anita - In: Data science and management : DSM 7 (2024) 3, pp. 189-196

-of-the-art machine-learning methods. In this study, we employed a novel approach that combines an extended version of principal component …

Persistent link: https://www.econbiz.de/10015078068

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