The international business cycle and gold-price fluctuations
Citations
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Cited by:
- Aye, Goodness & Gupta, Rangan & Hammoudeh, Shawkat & Kim, Won Joong, 2015.
"Forecasting the price of gold using dynamic model averaging,"
International Review of Financial Analysis, Elsevier, vol. 41(C), pages 257-266.
- Goodness C. Aye & Rangan Gupta & Shawkat Hammoudeh & Won Joong Kim, 2014. "Forecasting the Price of Gold Using Dynamic Model Averaging," Working Papers 201415, University of Pretoria, Department of Economics.
- Raza Syed Ali & Shah Nida & Ali Muhammad & Shahbaz Muhammad, 2021. "Do Exchange Rates Fluctuations Influence Gold Price in G7 Countries? New Insights from a Nonparametric Causality-in-Quantiles Test," Zagreb International Review of Economics and Business, Sciendo, vol. 24(2), pages 37-57.
- Hossein Hassani & Emmanuel Sirimal Silva & Rangan Gupta & Mawuli K. Segnon, 2015.
"Forecasting the price of gold,"
Applied Economics, Taylor & Francis Journals, vol. 47(39), pages 4141-4152, August.
- Hossein Hassani & Emmanuel Sirimal Silva & Rangan Gupta & Mawuli K. Segnon, 2014. "Forecasting the Price of Gold," Working Papers 201428, University of Pretoria, Department of Economics.
- Christian Pierdzioch & Marian Risse & Sebastian Rohloff, 2016.
"Fluctuations of the real exchange rate, real interest rates, and the dynamics of the price of gold in a small open economy,"
Empirical Economics, Springer, vol. 51(4), pages 1481-1499, December.
- Rohloff, Sebastian & Pierdzioch, Christian & Risse, Marian, 2014. "Fluctuations of the Real Exchange Rate, Real Interest Rates, and the Dynamics of the Price of Gold in a Small Open Economy," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100429, Verein für Socialpolitik / German Economic Association.
- Rangan Gupta & Sayar Karmakar & Christian Pierdzioch, 2024.
"Safe Havens, Machine Learning, and the Sources of Geopolitical Risk: A Forecasting Analysis Using Over a Century of Data,"
Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 487-513, July.
- Rangan Gupta & Sayar Karmakar & Christian Pierdzioch, 2022. "Safe Havens, Machine Learning, and the Sources of Geopolitical Risk: A Forecasting Analysis Using Over a Century of Data," Working Papers 202201, University of Pretoria, Department of Economics.
- Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch, 2022.
"Oil-Price Uncertainty and International Stock Returns: Dissecting Quantile-Based Predictability and Spillover Effects Using More than a Century of Data,"
Energies, MDPI, vol. 15(22), pages 1-26, November.
- Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch, 2022. "Oil-Price Uncertainty and International Stock Returns: Dissecting Quantile-Based Predictability and Spillover Effects Using More than a Century of Data," Working Papers 202217, University of Pretoria, Department of Economics.
- Kucher, Oleg & McCoskey, Suzanne, 2017. "The long-run relationship between precious metal prices and the business cycle," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 263-275.
- Sharma, Susan Sunila, 2016. "Can consumer price index predict gold price returns?," Economic Modelling, Elsevier, vol. 55(C), pages 269-278.
- Ayinde, Taofeek O. & Olaniran, Abeeb O. & Abolade, Onomeabure C. & Ogbonna, Ahamuefula Ephraim, 2023. "Technology shocks - Gold market connection: Is the effect episodic to business cycle behaviour?," Resources Policy, Elsevier, vol. 84(C).
- Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2020.
"Forecasting realized oil-price volatility: The role of financial stress and asymmetric loss,"
Journal of International Money and Finance, Elsevier, vol. 104(C).
- Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2019. "Forecasting Realized Oil-Price Volatility: The Role of Financial Stress and Asymmetric Loss," Working Papers 201903, University of Pretoria, Department of Economics.
- Qian, Yao & Ralescu, Dan A. & Zhang, Bo, 2019. "The analysis of factors affecting global gold price," Resources Policy, Elsevier, vol. 64(C).
- McCown, James Ross & Shaw, Ron, 2017. "Investment potential and risk hedging characteristics of platinum group metals," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 328-337.
- Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2015. "A real-time quantile-regression approach to forecasting gold returns under asymmetric loss," Resources Policy, Elsevier, vol. 45(C), pages 299-306.
- Guo Jianhua & Xu Songjin, 2014. "The Relationship and Spillover Effects between Chinese and Foreign Gold Markets an Empirical Study based on Var-Mvgarch-Bekk Model," Journal of Empirical Economics, Research Academy of Social Sciences, vol. 3(1), pages 25-30.
- Christian Pierdzioch & Marian Risse & Sebastian Rohloff, 2016. "A boosting approach to forecasting gold and silver returns: economic and statistical forecast evaluation," Applied Economics Letters, Taylor & Francis Journals, vol. 23(5), pages 347-352, March.
- Zhang, Guangyong & Jiang, Le & Tian, Lixin & Fu, Min, 2021. "Analysis of the gold fixing price fluctuation in different times based on the directed weighted networks," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
- Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2016. "A boosting approach to forecasting the volatility of gold-price fluctuations under flexible loss," Resources Policy, Elsevier, vol. 47(C), pages 95-107.
- Salisu, Afees A. & Pierdzioch, Christian & Gupta, Rangan & Gabauer, David, 2022.
"Forecasting stock-market tail risk and connectedness in advanced economies over a century: The role of gold-to-silver and gold-to-platinum price ratios,"
International Review of Financial Analysis, Elsevier, vol. 83(C).
- Afees A. Salisu & Christian Pierdzioch & Rangan Gupta & David Gabauer, 2021. "Forecasting Stock-Market Tail Risk and Connectedness in Advanced Economies Over a Century: The Role of Gold-to-Silver and Gold-to-Platinum Price Ratios," Working Papers 202161, University of Pretoria, Department of Economics.
- Salisu, Afees A. & Gupta, Rangan & Nel, Jacobus & Bouri, Elie, 2022.
"The (Asymmetric) effect of El Niño and La Niña on gold and silver prices in a GVAR model,"
Resources Policy, Elsevier, vol. 78(C).
- Afees A. Salisu & Rangan Gupta & Jacobus Nel & Elie Bouri, 2021. "The (Asymmetric) Effect of El Nino and La Nina on Gold and Silver Prices in a GVAR Model," Working Papers 202132, University of Pretoria, Department of Economics.
- Pradhan, Ashis Kumar & Mishra, Bibhuti Ranjan & Tiwari, Aviral Kumar & Hammoudeh, Shawkat, 2020. "Macroeconomic factors and frequency domain causality between Gold and Silver returns in India," Resources Policy, Elsevier, vol. 68(C).
- Rangan Gupta & Christian Pierdzioch, 2023. "Do U.S. economic conditions at the state level predict the realized volatility of oil-price returns? A quantile machine-learning approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-22, December.
- Aviral K. Tiwari & Claudiu T. Albulescu & Rangan Gupta, 2016.
"Time-frequency relationship between US output with commodity and asset prices,"
Applied Economics, Taylor & Francis Journals, vol. 48(3), pages 227-242, January.
- Aviral K. Tiwari & Claudiu T. Albulescu & Rangan Gupta, 2015. "Time-Frequency Relationship between U.S. Output with Commodity and Asset Prices," Working Papers 201523, University of Pretoria, Department of Economics.
- Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2016. "A quantile-boosting approach to forecasting gold returns," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 38-55.
- Malliaris, A.G. & Malliaris, Mary, 2015. "What drives gold returns? A decision tree analysis," Finance Research Letters, Elsevier, vol. 13(C), pages 45-53.
- Apergis, Nicholas & Eleftheriou, Sofia, 2016. "Gold returns: Do business cycle asymmetries matter? Evidence from an international country sample," Economic Modelling, Elsevier, vol. 57(C), pages 164-170.
- Plakandaras, Vasilios & Ji, Qiang, 2022. "Intrinsic decompositions in gold forecasting," Journal of Commodity Markets, Elsevier, vol. 28(C).
- repec:ipg:wpaper:2014-480 is not listed on IDEAS
- Dichtl, Hubert, 2020. "Forecasting excess returns of the gold market: Can we learn from stock market predictions?," Journal of Commodity Markets, Elsevier, vol. 19(C).
- repec:ipg:wpaper:2014-470 is not listed on IDEAS
- Yan Wang & Tong Lin, 2023. "A Novel Deterministic Probabilistic Forecasting Framework for Gold Price with a New Pandemic Index Based on Quantile Regression Deep Learning and Multi-Objective Optimization," Mathematics, MDPI, vol. 12(1), pages 1-21, December.
- Mehmet Balcilar & Elie Bouri & Rangan Gupta & Christian Pierdzioch, 2021.
"El Niño, La Niña, and the Forecastability of the Realized Variance of Heating Oil Price Movements,"
Sustainability, MDPI, vol. 13(14), pages 1-23, July.
- Mehmet Balcilar & Elie Bouri & Rangan Gupta & Christian Pierdzioch, 2021. "El Nino, La Nina, and the Forecastability of the Realized Variance of Heating Oil Price Movements," Working Papers 202138, University of Pretoria, Department of Economics.
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