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Predictability and 'Good Deals' in Currency Markets

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  • Richard M. Levich
  • Valerio Poti

Abstract

This paper studies predictability of currency returns over the period 1971-2006. To assess the economic significance of currency predictability, we construct an upper bound on the explanatory power of predictive regressions. The upper bound is motivated by "no good-deal" restrictions that rule out unduly attractive investment opportunities. We find evidence that predictability often exceeds this bound. Excess-predictability is highest in the 1970s and tends to decrease over time, but it is still present in the final part of the sample period. Moreover, periods of high and low predictability tend to alternate. These stylized facts pose a challenge to Fama's (1970) Efficient Market Hypothesis but are consistent with Lo's (2004) Adaptive Market Hypothesis, coupled with slow convergence towards efficient markets. Strategies that attempt to exploit daily excess-predictability are very sensitive to transaction costs but those that exploit monthly predictability remain attractive even after realistic levels of transaction costs are taken into account and are not spanned by either the Fama and French (1993) equity-based factors or the AFX Currency Management Index.

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  • Richard M. Levich & Valerio Poti, 2008. "Predictability and 'Good Deals' in Currency Markets," NBER Working Papers 14597, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:14597 Note: IFM
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    Cited by:

    1. Neely, Christopher J., 2014. "How Persistent Are Unconventional Monetary Policy Effects?," Working Papers 2014-4, Federal Reserve Bank of St. Louis, revised 28 Oct 2016.
    2. Potì, Valerio & Levich, Richard M. & Pattitoni, Pierpaolo & Cucurachi, Paolo, 2014. "Predictability, trading rule profitability and learning in currency markets," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 117-129.
    3. Enders, Walter & Pascalau, Razvan, 2015. "Pretesting for multi-step-ahead exchange rate forecasts with STAR models," International Journal of Forecasting, Elsevier, vol. 31(2), pages 473-487.
    4. Urquhart, Andrew & McGroarty, Frank, 2016. "Are stock markets really efficient? Evidence of the adaptive market hypothesis," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 39-49.

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    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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