Obtaining Accurate Gold Prices
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- Reboredo, Juan C., 2013. "Is gold a safe haven or a hedge for the US dollar? Implications for risk management," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2665-2676.
- H. T. Shehzad & M. A. Anwar & M. Razzaq, 2023. "A Comparative Predicting Stock Prices using Heston and Geometric Brownian Motion Models," Papers 2302.07796, arXiv.org.
- Beckmann, Joscha & Czudaj, Robert, 2013.
"Gold as an inflation hedge in a time-varying coefficient framework,"
The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 208-222.
- Beckmann, Joscha & Czudaj, Robert, 2012. "Gold as an Infl ation Hedge in a Time-Varying Coefficient Framework," Ruhr Economic Papers 362, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
- Grinblatt, Mark & Titman, Sheridan, 1992. "The Persistence of Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 47(5), pages 1977-1984, December.
- Madziwa, Lawrence & Pillalamarry, Mallikarjun & Chatterjee, Snehamoy, 2022. "Gold price forecasting using multivariate stochastic model," Resources Policy, Elsevier, vol. 76(C).
- Chan, Joshua C.C. & Grant, Angelia L., 2016.
"Modeling energy price dynamics: GARCH versus stochastic volatility,"
Energy Economics, Elsevier, vol. 54(C), pages 182-189.
- Joshua C.C. Chan & Angelia L. Grant, 2015. "Modeling energy price dynamics: GARCH versus stochastic volatility," CAMA Working Papers 2015-20, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Inci, Ahmet Can & Lu, Biao, 2004. "Exchange rates and interest rates: can term structure models explain currency movements?," Journal of Economic Dynamics and Control, Elsevier, vol. 28(8), pages 1595-1624, June.
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- Julien Chevallier, 2025. "Commodities : The Year 2024 in Retrospect," Commodities, MDPI, vol. 4(1), pages 1-5, January.
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