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Ron McIver

Researcher at University of South Australia

Publications -  49
Citations -  1105

Ron McIver is an academic researcher from University of South Australia. The author has contributed to research in topics: Financial crisis & Corporate governance. The author has an hindex of 11, co-authored 43 publications receiving 666 citations.

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Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets

TL;DR: In this article, the authors examined spillover effects among six commodity futures markets by employing the multivariate DECO-GARCH model and the spillover index and found that the spillovers increased sharply during economic and financial turmoil, diminishing the benefits of international portfolio diversification for investors.
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Corporate governance mechanisms and financial performance in China: panel data evidence on listed non financial companies

TL;DR: Li et al. as mentioned in this paper provided empirical evidence on the influence of corporate governance characteristics and corporate ownership concentrations on the financial performance of Chinese companies based on analysis of a panel data set covering the years 2001 to 2005.
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Co-movements between Bitcoin and Gold: A wavelet coherence analysis

TL;DR: In this paper, the authors use dynamic conditional correlations and wavelet coherence to examine the hedging and diversification properties of gold futures vis-a-vis Bitcoin prices and reveal whether the bubble patterns of behavior in gold futures prices can be used to hedge against the bubble behavior in the Bitcoin market in the short-term, and vice versa.
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Financial crises and the dynamics of the spillovers between the U.S. and BRICS stock markets

TL;DR: In this paper, the authors examined the spillover dynamics between the U.S. and BRICS stock markets using the multivariate DECO-GJR-GARCH model and spillover index method.
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Modeling Time-Varying Correlations in Volatility Between BRICS and Commodity Markets

TL;DR: The authors investigated the asymmetric and long memory volatility properties and dynamic conditional correlations between Brazilian, Russian, Indian, Chinese, and South African stock markets and commodity (gold and oil) futures markets, using the trivariate DCC-fractionally integrated asymmetric power autoregressive conditional heteroskedasticity (FIAPARCH) model.