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A wavelet-based assessment of market risk: The emerging markets case

Listed author(s):
  • António Rua
  • Luís Catela Nunes

The measurement of market risk poses major challenges to researchers and different economic agents. On one hand, it is by now widely recognized that risk varies over time. On the other hand, the risk profile of an investor, in terms of investment horizon, makes it crucial to also assess risk at the frequency level. We propose a novel approach to measuring market risk based on the continuous wavelet transform. Risk is allowed to vary both through time and at the frequency level within a unified framework. In particular, we derive the wavelet counterparts of well-known measures of risk. One is thereby able to assess total risk, systematic risk and the importance of systematic risk to total risk in the time-frequency space. To illustrate the method we consider the emerging markets case over the last twenty years, finding noteworthy heterogeneity across frequencies and over time, which highlights the usefulness of the wavelet approach.

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Paper provided by Banco de Portugal, Economics and Research Department in its series Working Papers with number w201203.

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Date of creation: 2012
Handle: RePEc:ptu:wpaper:w201203
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