scispace - formally typeset
Search or ask a question
Journal ArticleDOI

Is gold a safe haven or a hedge for the US dollar? Implications for risk management

01 Aug 2013-Journal of Banking and Finance (North-Holland)-Vol. 37, Iss: 8, pp 2665-2676
TL;DR: In this paper, the role of gold as a safe haven or hedge against the US dollar (USD) using copulas to characterize average and extreme market dependence between gold and the USD was assessed.
Abstract: We assess the role of gold as a safe haven or hedge against the US dollar (USD) using copulas to characterize average and extreme market dependence between gold and the USD. For a wide set of currencies, our empirical evidence revealed (1) positive and significant average dependence between gold and USD depreciation, consistent with the fact that gold can act as hedge against USD rate movements, and (2) symmetric tail dependence between gold and USD exchange rates, indicating that gold can act as an effective safe haven against extreme USD rate movements. We evaluate the implications for mixed gold-currency portfolios, finding evidence of diversification benefits and downside risk reduction that confirms the usefulness of gold in currency portfolio risk management.
Citations
More filters
Journal ArticleDOI
TL;DR: Investigation of financial markets globally in terms of their decline and volatility as Coronavirus epicentre moved from China to Europe and then to the US suggests that the earlier epicentres China has stabilised while the global markets have gone into a freefall especially in the later phase of the spread.

408 citations


Cites background from "Is gold a safe haven or a hedge for..."

  • ...Gold which remained reasonably less volatile in epidemic period started showing a decline in returns during pandemic period but in terms of volatility, it is found to be the least volatile supporting the notion of “Gold a safe-haven asset” (Reboredo, 2013)....

    [...]

Journal ArticleDOI
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.

360 citations


Cites background from "Is gold a safe haven or a hedge for..."

  • ...Other researchers have investigated the commodity cross-market linkages between the oil and goldmarkets (e.g., Soytas et al., 2009; Reboredo, 2013; Yaya et al., 2016) and oil–agricultural relationships (e.g. Du et al., 2011; Nazlioglu et al., 2013; Mensi et al., 2014, 2015)....

    [...]

Journal ArticleDOI
TL;DR: In this article, the authors introduce a sequential monitoring procedure to detect changes in the left-quantiles of asset returns, and to assess whether a tail change in the equity index can be offset by introducing a safe-haven asset into a simple mean-variance portfolio.

358 citations


Cites background from "Is gold a safe haven or a hedge for..."

  • ...Reboredo (2013) finds that gold can have both the role of a hedge and an effective safe haven....

    [...]

Journal ArticleDOI
TL;DR: The authors examined the dependence structure between the emerging stock markets of the BRICS countries and influential global factors using the quantile regression approach, and found that the stock markets exhibit dependence with the global stock and commodity markets (S&P index, oil, and gold) as well as changes in the U.S. stock market uncertainty (CBOE Volatility Index).

347 citations


Cites background from "Is gold a safe haven or a hedge for..."

  • ...The four BRIC countries are expected to account for 41% of the world’s stock market capitalization by 2030, when China is expected to overtake the United States in equity market capitalization, thus becoming the largest equity market in the world....

    [...]

  • ...These global factors include: (i) the major global stock market represented by the S&P 500 stock returns; (ii) the WTI crude oil price expressed in U.S. dollars per barrel, which is a global benchmark for determining the prices of other light crudes in the United States (Reboredo, 2013a); (iii) the gold price expressed in U.S. dollars per ounce; (iv) the implied volatility of the S&P 500 index as represented by the VIX index; and (v) the U.S. economic policy uncertainty index....

    [...]

  • ...Dynamic linkages of stock prices between the BRICs and the United States: Effects of the 2008–09 financial crisis....

    [...]

  • ...…oil price expressed in U.S. dollars per barrel, which is a global benchmark for determining the prices of other light crudes in the United States (Reboredo, 2013a); (iii) the gold price expressed in U.S. dollars per ounce; (iv) the implied volatility of the S&P 500 index as represented by the…...

    [...]

  • ...Kang and Ratti (2013) analyze the oil shocks, the economic policy uncertainty and the stock market return linkages, and find that for the United States an unanticipated increase in the policy uncertainty has a significant negative effect on the real stock returns....

    [...]

Journal ArticleDOI
TL;DR: In this article, Baur and Lucey (2010) augmentation of their model to a smooth transition regression (STR) using an exponential transition function which splits the regression model into two extreme regimes: periods in which stock returns are on average and therefore allowing to test whether gold acts as a hedge for stocks, the other one accounts for extreme market conditions where the volatility of the stock returns is high.

297 citations

References
More filters
Book
01 Jan 1999
TL;DR: This book discusses the fundamental properties of copulas and some of their primary applications, which include the study of dependence and measures of association, and the construction of families of bivariate distributions.
Abstract: The study of copulas and their role in statistics is a new but vigorously growing field. In this book the student or practitioner of statistics and probability will find discussions of the fundamental properties of copulas and some of their primary applications. The applications include the study of dependence and measures of association, and the construction of families of bivariate distributions. This book is suitable as a text or for self-study.

8,626 citations

Journal ArticleDOI
TL;DR: In this article, a modified GARCH-M model was used to find a negative relation between conditional expected monthly return and conditional variance of monthly return, using seasonal patterns in volatility and nominal interest rates to predict conditional variance.
Abstract: We find support for a negative relation between conditional expected monthly return and conditional variance of monthly return, using a GARCH-M model modified by allowing (1) seasonal patterns in volatility, (2) positive and negative innovations to returns having different impacts on conditional volatility, and (3) nominal interest rates to predict conditional variance. Using the modified GARCH-M model, we also show that monthly conditional volatility may not be as persistent as was thought. Positive unanticipated returns appear to result in a downward revision of the conditional volatility whereas negative unanticipated returns result in an upward revision of conditional volatility. THE TRADEOFF BETWEEN RISK and return has long been an important topic in asset valuation research. Most of this research has examined the tradeoff between risk and return among different securities within a given time period. The intertemporal relation between risk and return has been examined by several authors-Fama and Schwert (1977), French, Schwert, and Stambaugh (1987), Harvey (1989), Campbell and Hentschel (1992), Nelson (1991), and Chan, Karolyi, and Stulz (1992), to name a few. This paper extends that research.

7,837 citations

Journal ArticleDOI
TL;DR: Introduction.
Abstract: Introduction. Aspects of Interpretation. Technical Considerations. Statistical Analysis. Special Methods for Joint Responses. Some Examples. Strategical Aspects. More Specialized Topics. Appendices.

3,913 citations

Journal ArticleDOI
TL;DR: In this paper, a Monte-Carlo analysis of stock market returns was conducted and it was found that not only there is substantially more correlation between absolute returns than returns themselves, but the power transformation of the absolute return also has quite high autocorrelation for long lags.

3,462 citations

Journal ArticleDOI
TL;DR: In this article, the authors evaluate the out-of-sample performance of the sample-based mean-variance model, and its extensions designed to reduce estimation error, relative to the naive 1-N portfolio.
Abstract: We evaluate the out-of-sample performance of the sample-based mean-variance model, and its extensions designed to reduce estimation error, relative to the naive 1-N portfolio. Of the 14 models we evaluate across seven empirical datasets, none is consistently better than the 1-N rule in terms of Sharpe ratio, certainty-equivalent return, or turnover, which indicates that, out of sample, the gain from optimal diversification is more than offset by estimation error. Based on parameters calibrated to the US equity market, our analytical results and simulations show that the estimation window needed for the sample-based mean-variance strategy and its extensions to outperform the 1-N benchmark is around 3000 months for a portfolio with 25 assets and about 6000 months for a portfolio with 50 assets. This suggests that there are still many "miles to go" before the gains promised by optimal portfolio choice can actually be realized out of sample. The Author 2007. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org, Oxford University Press.

2,809 citations