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Does the Rand Per US Dollar Exchange Rate Volatility Impact on Net Asset Purchases by Non-residents?

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Global Economic Uncertainties and Exchange Rate Shocks

Abstract

This chapter examined whether exchange rate volatility impacts net asset purchases by non-residents and determined if the effects vary amongst overall, permanent and transitory exchange rate volatilities. Evidence attests to the volatile and the transitory nature of capital flows, this is particularly the case for bond flows. This has serious policy implications for the design of policies aimed at controlling capital flows, reducing financial market distortions and the associated exchange rate movements. The variance ratios of net asset purchases by non-resident decline as the forecast horizons increase. The halflife analysis of shocks attests to the very short-term nature of net asset purchases by non-residents. Furthermore, we find that the rand depreciation shock has a bigger impact on the slowdown of net equity purchases by non-residents. This means that it is not only difficult to predict longer-term net asset purchases based on the information conveyed by current flows, but there is also a significant positive feedback loop indicating reinforcement of the effects. We contend that if capital flows exhibited some form of persistence and therefore predictability, policymakers would be able to anticipate the exchange rate movements with some degree of confidence. This would alleviate a great deal of uncertainty with respect to the inflation forecast and possibly assist with the predictability of the monetary policy responses. Furthermore, it would help with the design of policy measures aimed at dealing with the unintended effects of volatile capital flows. At the same time, possibly reduce doubts about the efficacy of capital flow controls.

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Notes

  1. 1.

    For bond inflows, the data starts from 1995M1 to 2014M12.

  2. 2.

    The mean is impacted by extreme values such as outliers.

  3. 3.

    See Brennan and Cao (1997) as well as Caporale et al. (2015).

  4. 4.

    When the autocorrelation is within error bounds, it means that the autocorrelation is not significantly different from zero at the five percent significance level.

  5. 5.

    If the net asset purchases are completely a random process (white noise), this implies that the variance ratio should be near one.

  6. 6.

    Quarterly data is normally normalised by GDP.

  7. 7.

    See Brennan and Cao (1997) as well as Caporale et al. (2015).

  8. 8.

    We defined the inflation targeting dummy equals to one from 2000Q1 to 2014Q1 and zero otherwise. We defined recession dummy equals to one from 2009Q1 to 2009Q3 and zero otherwise.

  9. 9.

    This result is consistent with economic theoretical predictions and empirical findings. See, for example, Kodongo and Ojah (2012).

  10. 10.

    See also Kodongo and Ojah (2012).

  11. 11.

    Our conditional mean model suggests that R/US$ exchange rate changes depend on its constant, lagged exchange rate, lagged net equity purchases and lagged exchange rate volatility. The net equity purchases depend on a constant, contemporaneous and lagged exchange rate changes, lagged net equity purchases and contemporaneous exchange rate volatility.

  12. 12.

    By doing so, we overcome the weakness of relying on a model which only allows for contemporaneous interactions.

  13. 13.

    Apart from the fact that its quadratic forms ensure that the conditional variances matrices are positive definite, the BEKK allows for the estimation of time varying correlations and interactions between the variances in a lead-lag framework. These channels are represented by the off-diagonal parameters in the ARCH and GARCH matrices.

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Correspondence to Eliphas Ndou .

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Ndou, E., Gumata, N., Ncube, M. (2017). Does the Rand Per US Dollar Exchange Rate Volatility Impact on Net Asset Purchases by Non-residents?. In: Global Economic Uncertainties and Exchange Rate Shocks. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-62280-4_19

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  • DOI: https://doi.org/10.1007/978-3-319-62280-4_19

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  • Publisher Name: Palgrave Macmillan, Cham

  • Print ISBN: 978-3-319-62279-8

  • Online ISBN: 978-3-319-62280-4

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