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How Credit Improves the Exchange Rate Forecast

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  • Martin Casta

Abstract

This paper presents a simple reduced-form error correction model for forecasting nominal exchange rates. The model is inspired by the classical monetary model of exchange rates. However, the commonly used monetary aggregates were replaced by loans to corporations. The reason for this change is that our goal is to focus on corporate deposits, for which corporate loans act as a proxy. For presentational purposes, we focus on eight major trading currency pairs: AUD/USD, CAD/USD, CHF/USD, EUR/USD, GBP/USD, NZD/USD, SEK/USD and JPY/USD, for which we use data from approximately the last two decades. We empirically show statistically and economically significant exchange rates forecastability in the medium and long run, and we also present some findings on predictability even in the short run. In short, our results suggest that corporate loans are a significant driver behind exchange rate movements.

Suggested Citation

  • Martin Casta, 2022. "How Credit Improves the Exchange Rate Forecast," Working Papers 2022/7, Czech National Bank.
    • Handle: RePEc:cnb:wpaper:2022/7
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    References listed on IDEAS

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    More about this item

    Keywords

    Exchange rates; forecasting; forecast evaluation;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications

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