Size and Volatility: new evidence from an application of wavelet approach to the emerging Islamic mutual funds’ industry
As far as the author’s knowledge, the paper is the first attempt dedicated to understanding the risk and volatility of constituents of the young and rapidly growing Islamic mutual funds’ industry. The novelty of our approach lies in the usage of wavelet tools to high-frequency financial market data, which allows us to understand the relationship between returns of funds of different sizes in a completely different way. Major part of economic time series analysis is done in time or frequency domain separately. Wavelet analysis can combine these two fundamental approaches, so we can work in time-frequency domain. Using wavelet coherence, we have gained valuable insights into the volatility and continuous dynamics of cross-correlations between small, medium and large size Islamic mutual funds.
|Date of creation:||15 Jun 2014|
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- Fikriyah Abdullah, 2007. "Investigation of performance of Malaysian Islamic unit trust funds: Comparison with conventional unit trust funds," Managerial Finance, Emerald Group Publishing, vol. 33(2), pages 142-153, January.
- Tiwari, Aviral Kumar, 2013. "Oil prices and the macroeconomy reconsideration for Germany: Using continuous wavelet," Economic Modelling, Elsevier, vol. 30(C), pages 636-642.
- Khalfaoui Rabeh, K & Boutahar Mohamed, B, 2011. "A time-scale analysis of systematic risk: wavelet-based approach," MPRA Paper 31938, University Library of Munich, Germany.
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