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Analysts versus the random walk in financial forecasting: evidence from the Czech National Bank’s Financial Market Inflation Expectations survey

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  • Kamil Kladívko
  • Pär Österholm

Abstract

We analyse how financial market analysts’ expectations in the Czech National Bank’s Financial Market Inflation Expectations survey perform relative to the random-walk forecast when it comes to predicting five financial variables. Using data from 2001 to 2022, our results indicate that the analysts are able to significantly outperform the random-walk forecast in terms of forecast precision for the repo rate and Prague Interbank Offered Rate at the one-month forecasting horizon. For the five- and ten-year interest rate swap rates, the random walk significantly outperforms the analysts at both the one-month and one-year forecasting horizons. For the CZK/EUR exchange rate, the random-walk forecast has a lower root mean squared forecast error than that of the analysts’ forecast at the one-month horizon whereas at the one-year horizon the opposite is found; however, none of these differences are statistically significant.

Suggested Citation

  • Kamil Kladívko & Pär Österholm, 2024. "Analysts versus the random walk in financial forecasting: evidence from the Czech National Bank’s Financial Market Inflation Expectations survey," Applied Economics, Taylor & Francis Journals, vol. 56(17), pages 2077-2088, April.
    • Handle: RePEc:taf:applec:v:56:y:2024:i:17:p:2077-2088
    DOI: 10.1080/00036846.2023.2178633
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    JEL classification:

    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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