Effects of trend strength and direction on performance and consistency in judgmental exchange rate forecasting

Mary E. Thomson, Andrew C. Pollock, M. Sinan Gönül, Dilek Önkal

    Research output: Contribution to journalArticlepeer-review

    6 Citations (Scopus)

    Abstract

    Using real financial data, this study examines the influence of trend direction and strength on judgmental exchange rate forecasting performance and consistency. Participants generated forecasts for each of 20 series. Half of the participants also answered two additional questions regarding their perceptions about the strength and direction of the trend present in each of the series under consideration. The performance on ascending trends was found to be superior to that on descending trends, and the performance on intermediate trends was found to be superior to that on strong trends. Furthermore, the group whose attention was drawn to the direction and strength of each trend via the additional questions performed better on some aspects of the task than did their “no-additional questions” counterparts. Consistency was generally poor, with ascending trends being perceived as being stronger than descending trends. The results are discussed in terms of their implications for the use and design of forecasting support systems.
    Original languageEnglish
    Pages (from-to)337-353
    JournalInternational Journal of Forecasting
    Volume29
    Issue number2
    DOIs
    Publication statusPublished - Apr 2013

    Keywords

    • Judgmental forecasting
    • probability forecasting
    • trend strength
    • trend direction
    • consistency
    • damping
    • exchange rate

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