Search results
1 – 4 of 4Ramazan Yildirim and Mansur Masih
The purpose of this chapter is to analyze the possible portfolio diversification opportunities between Asian Islamic market and other regions’ Islamic markets; namely USA, Europe…
Abstract
The purpose of this chapter is to analyze the possible portfolio diversification opportunities between Asian Islamic market and other regions’ Islamic markets; namely USA, Europe, and BRIC. This study makes the initial attempt to fill in the gaps of previous studies by focusing on the proxies of global Islamic markets to identify the correlations among those selected markets by employing the recent econometric methodologies such as multivariate generalized autoregressive conditional heteroscedastic–dynamic conditional correlations (MGARCH–DCC), maximum overlap discrete wavelet transform (MODWT), and the continuous wavelet transform (CWT). By utilizing the MGARCH-DCC, this chapter tries to identify the strength of the time-varying correlation among the markets. However, to see the time-scale-dependent nature of these mentioned correlations, the authors utilized CWT. For robustness, the authors have applied MODWT methodology as well. The findings tend to indicate that the Asian investors have better portfolio diversification opportunities with the US markets, followed by the European markets. BRIC markets do not offer any portfolio diversification benefits, which may be explained partly by the fact that the Asian markets cover partially the same countries of BRIC markets, namely India and China. Considering the time horizon dimension, the results narrow down the portfolio diversification opportunities only to the short-term investment horizons. The very short-run investors (up to eight days only) can benefit through portfolio diversification, especially in the US and European markets. The above-mentioned results have policy implications for the Asian Islamic investors (e.g., Portfolio Management and Strategic Investment Management).
Details
Keywords
Salman Ahmed Shaikh, Abdul Ghafar Ismail and Mohd Adib Ismail
Muslim investors must comply with the ethical injunctions prescribed for them while making financial investments. As per Islamic principles, the use of Riba (interest), Maysir…
Abstract
Muslim investors must comply with the ethical injunctions prescribed for them while making financial investments. As per Islamic principles, the use of Riba (interest), Maysir (gambling) and Gharar (uncertain or contingent payoff contracts) is prohibited. This chapter provides some recent post great financial crisis evidence on the comparative performance of Islamic and conventional market indices. Islamic indices outperformed conventional market indices in terms of annualized returns except for emerging markets. In the overall period of 2007-16, it is found that Islamic indices have a lower coefficient of variation and hence higher reward to variability ratio. This suggests that Islamic indices are superior to conventional market indices adjusting for variability in returns. In most comparable Islamic and conventional indices, a strong co-movement and long-term co-integrating relationship is found. The results also highlighted causality running from conventional indices to the Islamic indices in most of the market groups, except for the S&P Global.
Details
Keywords
Kenneth D. Lawrence, Gary Kleinman, Sheila M. Lawrence and Ronald K. Klimberg
This research examines the use of econometric models to predict the total net asset value (NAV) of an asset allocation mutual fund. In particular, the mutual fund case used is the…
Abstract
This research examines the use of econometric models to predict the total net asset value (NAV) of an asset allocation mutual fund. In particular, the mutual fund case used is the Vanguard Wellington Fund (VWELX). This fund maintains a balance between relatively conservative stocks and bonds. The period of the study on which the prediction of the total NAV is based is the 24-month period of 2010 and 2011 and the forecasting period is the first three months of 2012. Forecasting the total NAV of a massive conservative allocation fund, composed of an extremely large number of investments, requires a method that produces accurate results. Achieving this accuracy has no necessary relationship to the complexity of the methods typically employed in many financial forecasting studies.
Details