Mir, Zulfiqar Ali (2025): Penalized regression methods for exchange rate forecasting: evidence from the U.S. dollar index.

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Abstract
This paper examines the effectiveness of penalized regression techniques in forecasting exchange rate movements. Using daily data for the U.S. Dollar Index (DXY) in 2016, we compare the performance of Ordinary Least Squares (OLS) with Ridge and Lasso regression models. The predictors include gold and silver returns, the S&P 500 Index, short- and long-term Treasury yields, and the EURUSD exchange rate. Results show that while OLS suffers from instability due to multicollinearity, Ridge regression improves coefficient stability and predictive accuracy. Lasso regression provides the best overall performance, with the highest explanatory power and the lowest prediction error, by selecting only the most relevant variables. These findings underscore the value of penalized regression in financial econometrics and highlight its potential for robust exchange rate forecasting.
| Item Type: | MPRA Paper |
|---|---|
| Original Title: | Penalized regression methods for exchange rate forecasting: evidence from the U.S. dollar index |
| English Title: | Penalized Regression Methods for Exchange Rate Forecasting, Evidence from the U.S. Dollar Index |
| Language: | English |
| Keywords: | Penalized Regression, Ridge, Lasso, Exchange Rate Forecasting, Dollar Index, Financial Econometrics, Machine Learning in Finance |
| Subjects: | C - Mathematical and Quantitative Methods > C0 - General > C01 - Econometrics C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C55 - Large Data Sets: Modeling and Analysis C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C58 - Financial Econometrics F - International Economics > F3 - International Finance > F31 - Foreign Exchange F - International Economics > F3 - International Finance > F37 - International Finance Forecasting and Simulation: Models and Applications F - International Economics > F4 - Macroeconomic Aspects of International Trade and Finance > F47 - Forecasting and Simulation: Models and Applications G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing ; Trading Volume ; Bond Interest Rates G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets G - Financial Economics > G1 - General Financial Markets > G17 - Financial Forecasting and Simulation |
| Item ID: | 125996 |
| Depositing User: | Mr. Zulfiqar Ali Mir |
| Date Deposited: | 10 Oct 2025 01:32 |
| Last Modified: | 11 Oct 2025 04:40 |
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| URI: | https://mpra.ub.uni-muenchen.de/id/eprint/125996 |
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