Predictability of Exchange Rate Models: Statistical and Economic Evaluation Approach

This paper seeks to compare the exchange rate predictability of economic fundamental models, including the Uncovered Interest Parity, the Purchasing Power Parity, the Monetary Fundamentals, the Symmetric and Asymmetric Taylor Rules with the benchmark Random walk with drift. Using out-of-sample regre...

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Main Author: Nguyen, Thi Phuong Anh
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2018
Subjects:
Online Access:https://eprints.nottingham.ac.uk/54645/
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author Nguyen, Thi Phuong Anh
author_facet Nguyen, Thi Phuong Anh
author_sort Nguyen, Thi Phuong Anh
building Nottingham Research Data Repository
collection Online Access
description This paper seeks to compare the exchange rate predictability of economic fundamental models, including the Uncovered Interest Parity, the Purchasing Power Parity, the Monetary Fundamentals, the Symmetric and Asymmetric Taylor Rules with the benchmark Random walk with drift. Using out-of-sample regression method for monthly returns on eight exchange rates against the US dollar, I compute their statistical and economic values to compare with the benchmark in both rolling and recursive scheme. From the statistical perspective, predictive models generally are unable to outperform the Random walk in out-of-sample forecasting. However, exchange rate investment strategies based on the forecasts from a couple of models do generate economic values for investors. Results are robust when a single currency is excluded from the original portfolio.
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institution University of Nottingham Malaysia Campus
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language English
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spelling nottingham-546452022-09-05T15:49:33Z https://eprints.nottingham.ac.uk/54645/ Predictability of Exchange Rate Models: Statistical and Economic Evaluation Approach Nguyen, Thi Phuong Anh This paper seeks to compare the exchange rate predictability of economic fundamental models, including the Uncovered Interest Parity, the Purchasing Power Parity, the Monetary Fundamentals, the Symmetric and Asymmetric Taylor Rules with the benchmark Random walk with drift. Using out-of-sample regression method for monthly returns on eight exchange rates against the US dollar, I compute their statistical and economic values to compare with the benchmark in both rolling and recursive scheme. From the statistical perspective, predictive models generally are unable to outperform the Random walk in out-of-sample forecasting. However, exchange rate investment strategies based on the forecasts from a couple of models do generate economic values for investors. Results are robust when a single currency is excluded from the original portfolio. 2018-09-13 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/54645/1/ThiPhuongAnhNguyen_dissertation.pdf Nguyen, Thi Phuong Anh (2018) Predictability of Exchange Rate Models: Statistical and Economic Evaluation Approach. [Dissertation (University of Nottingham only)] Exchange rate Out-of-sample Random walk Time series Statistical evaluation Economic value.
spellingShingle Exchange rate
Out-of-sample
Random walk
Time series
Statistical evaluation
Economic value.
Nguyen, Thi Phuong Anh
Predictability of Exchange Rate Models: Statistical and Economic Evaluation Approach
title Predictability of Exchange Rate Models: Statistical and Economic Evaluation Approach
title_full Predictability of Exchange Rate Models: Statistical and Economic Evaluation Approach
title_fullStr Predictability of Exchange Rate Models: Statistical and Economic Evaluation Approach
title_full_unstemmed Predictability of Exchange Rate Models: Statistical and Economic Evaluation Approach
title_short Predictability of Exchange Rate Models: Statistical and Economic Evaluation Approach
title_sort predictability of exchange rate models: statistical and economic evaluation approach
topic Exchange rate
Out-of-sample
Random walk
Time series
Statistical evaluation
Economic value.
url https://eprints.nottingham.ac.uk/54645/