A melting pot — Gold price forecasts under model and parameter uncertainty
Author
Abstract
Suggested Citation
DOI: 10.1016/j.irfa.2016.10.010
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Blose, Laurence E., 2010. "Gold prices, cost of carry, and expected inflation," Journal of Economics and Business, Elsevier, vol. 62(1), pages 35-47, January.
- Dirk G. Baur & Brian M. Lucey, 2010.
"Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold,"
The Financial Review, Eastern Finance Association, vol. 45(2), pages 217-229, May.
- Dirk G. Baur & Brian M. Lucey, 2007. "Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold," The Institute for International Integration Studies Discussion Paper Series iiisdp198, IIIS.
- Gary Koop & Dimitris Korobilis, 2012.
"Forecasting Inflation Using Dynamic Model Averaging,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 867-886, August.
- Gary Koop & Dimitris Korobilis, 2009. "Forecasting Inflation Using Dynamic Model Averaging," Working Paper series 34_09, Rimini Centre for Economic Analysis.
- Gary Koop & Dimitris Korobilis, 2011. "Forecasting Inflation Using Dynamic Model Averaging," Working Papers 1119, University of Strathclyde Business School, Department of Economics.
- Koop, Gary & Korobilis, Dimitris, 2011. "Forecasting Inflation Using Dynamic Model Averaging," SIRE Discussion Papers 2011-40, Scottish Institute for Research in Economics (SIRE).
- Koop, Gary & Korobilis, Dimitris, 2010. "Forecasting Inflation Using Dynamic Model Averaging," SIRE Discussion Papers 2010-113, Scottish Institute for Research in Economics (SIRE).
- 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.
- Clark, Todd E. & West, Kenneth D., 2006.
"Using out-of-sample mean squared prediction errors to test the martingale difference hypothesis,"
Journal of Econometrics, Elsevier, vol. 135(1-2), pages 155-186.
- Todd E. Clark & Kenneth D. West, 2004. "Using out-of-sample mean squared prediction errors to test the Martingale difference hypothesis," Research Working Paper RWP 04-03, Federal Reserve Bank of Kansas City.
- Barbara Rossi, 2013.
"Exchange Rate Predictability,"
Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1063-1119, December.
- Rossi, Barbara, 2013. "Exchange Rate Predictability," CEPR Discussion Papers 9575, C.E.P.R. Discussion Papers.
- Barbara Rossi, 2015. "Exchange Rate Predictability," Working Papers 690, Barcelona School of Economics.
- Barbara Rossi, 2013. "Exchange rate predictability," Economics Working Papers 1369, Department of Economics and Business, Universitat Pompeu Fabra.
- Barbara Rossi, 2005.
"Testing Long-Horizon Predictive Ability With High Persistence, And The Meese-Rogoff Puzzle,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(1), pages 61-92, February.
- Rossi, Barbara, 2002. "Testing Long-horizon Predictive Ability with High Persistence, and the Meese-Rogoff Puzzle," Working Papers 02-10, Duke University, Department of Economics.
- 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.
- Thomas Deckers & Christoph Hanck, 2014. "Variable Selection in Cross-Section Regressions: Comparisons and Extensions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(6), pages 841-873, December.
- Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
- 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.
- Pilbeam, Keith, 2001. "The profitability of central bank foreign exchange market intervention," Journal of Policy Modeling, Elsevier, vol. 23(5), pages 523-530, July.
- Capie, Forrest & Mills, Terence C. & Wood, Geoffrey, 2005. "Gold as a hedge against the dollar," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(4), pages 343-352, October.
- Roy W. Jastram, 2009. "The Golden Constant," Books, Edward Elgar Publishing, number 12733, March.
- Batten, Jonathan A. & Ciner, Cetin & Lucey, Brian M, 2014. "On the economic determinants of the gold–inflation relation," Resources Policy, Elsevier, vol. 41(C), pages 101-108.
- Mark, Nelson C, 1995. "Exchange Rates and Fundamentals: Evidence on Long-Horizon Predictability," American Economic Review, American Economic Association, vol. 85(1), pages 201-218, March.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Nima Nonejad, 2021. "An Overview Of Dynamic Model Averaging Techniques In Time‐Series Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 566-614, April.
- Bonato, Matteo & Demirer, Riza & Gupta, Rangan & Pierdzioch, Christian, 2018.
"Gold futures returns and realized moments: A forecasting experiment using a quantile-boosting approach,"
Resources Policy, Elsevier, vol. 57(C), pages 196-212.
- Matteo Bonato & Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2016. "Gold Futures Returns and Realized Moments: A Forecasting Experiment Using a Quantile-Boosting Approach," Working Papers 201645, University of Pretoria, Department of Economics.
- Sui, Meng & Rengifo, Erick W. & Court, Eduardo, 2021. "Gold, inflation and exchange rate in dollarized economies – A comparative study of Turkey, Peru and the United States," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 82-99.
- Drachal, Krzysztof, 2019. "Forecasting prices of selected metals with Bayesian data-rich models," Resources Policy, Elsevier, vol. 64(C).
- Nonejad, Nima, 2021. "Predicting equity premium using dynamic model averaging. Does the state–space representation matter?," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
- Baur, Dirk G. & Beckmann, Joscha & Czudaj, Robert L., 2020.
"The Relative Valuation Of Gold,"
Macroeconomic Dynamics, Cambridge University Press, vol. 24(6), pages 1346-1391, September.
- Baur, Dirk G. & Beckmann, Joscha & Czudaj, Robert, 2016. "The relative valuation of gold," Ruhr Economic Papers 604, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Dirk G. Baur & Joscha Beckmann & Robert Czudaj, 2017. "The Relative Valuation of Gold," Chemnitz Economic Papers 005, Department of Economics, Chemnitz University of Technology, revised May 2017.
- Risse, Marian & Ohl, Ludwig, 2017. "Using dynamic model averaging in state space representation with dynamic Occam’s window and applications to the stock and gold market," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 158-176.
- Risse, Marian, 2019. "Combining wavelet decomposition with machine learning to forecast gold returns," International Journal of Forecasting, Elsevier, vol. 35(2), pages 601-615.
- Mensi, Walid & Sensoy, Ahmet & Vo, Xuan Vinh & Kang, Sang Hoon, 2020. "Impact of COVID-19 outbreak on asymmetric multifractality of gold and oil prices," Resources Policy, Elsevier, vol. 69(C).
- Krzysztof Drachal, 2019. "Analysis of Agricultural Commodities Prices with New Bayesian Model Combination Schemes," Sustainability, MDPI, vol. 11(19), pages 1-23, September.
- Dong, Xiyong & Yoon, Seong-Min, 2019. "What global economic factors drive emerging Asian stock market returns? Evidence from a dynamic model averaging approach," Economic Modelling, Elsevier, vol. 77(C), pages 204-215.
- Plakandaras, Vasilios & Ji, Qiang, 2022. "Intrinsic decompositions in gold forecasting," Journal of Commodity Markets, Elsevier, vol. 28(C).
- Pattnaik, Debidutta & Hassan, M. Kabir & DSouza, Arun & Ashraf, Ali, 2023. "Investment in gold: A bibliometric review and agenda for future research," Research in International Business and Finance, Elsevier, vol. 64(C).
- 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).
- Krzysztof Drachal, 2018. "Some Novel Bayesian Model Combination Schemes: An Application to Commodities Prices," Sustainability, MDPI, vol. 10(8), pages 1-27, August.
- Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou, 2021. "Gold Against the Machine," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 5-28, January.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Baur, Dirk G. & Beckmann, Joscha & Czudaj, Robert, 2014. "Gold Price Forecasts in a Dynamic Model Averaging Framework – Have the Determinants Changed Over Time?," Ruhr Economic Papers 506, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Risse, Marian, 2019. "Combining wavelet decomposition with machine learning to forecast gold returns," International Journal of Forecasting, Elsevier, vol. 35(2), pages 601-615.
- Baur, Dirk G. & Beckmann, Joscha & Czudaj, Robert L., 2020.
"The Relative Valuation Of Gold,"
Macroeconomic Dynamics, Cambridge University Press, vol. 24(6), pages 1346-1391, September.
- Baur, Dirk G. & Beckmann, Joscha & Czudaj, Robert, 2016. "The relative valuation of gold," Ruhr Economic Papers 604, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Dirk G. Baur & Joscha Beckmann & Robert Czudaj, 2017. "The Relative Valuation of Gold," Chemnitz Economic Papers 005, Department of Economics, Chemnitz University of Technology, revised May 2017.
- Thi Hong Van Hoang & Amine Lahiani & David Heller, 2016. "Is gold a hedge against inflation? New evidence from a nonlinear ARDL approach," Post-Print hal-02012307, HAL.
- Hoang, Thi Hong Van & Lahiani, Amine & Heller, David, 2016. "Is gold a hedge against inflation? New evidence from a nonlinear ARDL approach," Economic Modelling, Elsevier, vol. 54(C), pages 54-66.
- Dirk G. Baur & Joscha Beckmann & Robert Czudaj, 2014. "Gold Price Forecasts in a Dynamic Model Averaging Framework – Have the Determinants Changed Over Time?," Ruhr Economic Papers 0506, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
- repec:zbw:rwirep:0506 is not listed on IDEAS
- O'Connor, Fergal A. & Lucey, Brian M. & Batten, Jonathan A. & Baur, Dirk G., 2015.
"The financial economics of gold — A survey,"
International Review of Financial Analysis, Elsevier, vol. 41(C), pages 186-205.
- O'Connor, Fergal & Lucey, Brian & Batten, Jonathan & Baur, Dirk, 2015. "The Financial Economics of Gold - a survey," MPRA Paper 65484, University Library of Munich, Germany.
- Joseph P. Byrne & Dimitris Korobilis & Pinho J. Ribeiro, 2018.
"On The Sources Of Uncertainty In Exchange Rate Predictability,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(1), pages 329-357, February.
- Byrne, Joseph P. & Korobilis, Dimitris & Ribeiro, Pinho J., 2014. "On the Sources of Uncertainty in Exchange Rate Predictability," SIRE Discussion Papers 2015-24, Scottish Institute for Research in Economics (SIRE).
- Byrne, Joseph P & Korobilis, Dimitris & Ribeiro, Pinho J, 2014. "On the Sources of Uncertainty in Exchange Rate Predictability," MPRA Paper 58956, University Library of Munich, Germany.
- Joseph P. Byrne & Dimitris Korobilis & Pinho J. Ribeiro, 2014. "On the Sources of Uncertainty in Exchange Rate Predictability," Working Papers 2014_16, Business School - Economics, University of Glasgow.
- Domenico Ferraro & Kenneth S. Rogoff & Barbara Rossi, 2011.
"Can oil prices forecast exchange rates?,"
Working Papers
11-34, Federal Reserve Bank of Philadelphia.
- Rogoff, Kenneth & Rossi, Barbara & Ferraro, Domenico, 2011. "Can Oil Prices Forecast Exchange Rates?," CEPR Discussion Papers 8635, C.E.P.R. Discussion Papers.
- Domenico Ferraro & Ken Rogoff & Barbara Rossi, 2011. "Can oil prices forecast exchange rates?," Economics Working Papers 1461, Department of Economics and Business, Universitat Pompeu Fabra, revised Jan 2015.
- Domenico Ferraro & Kenneth S. Rogoff & Barbara Rossi, 2012. "Can Oil Prices Forecast Exchange Rates?," NBER Working Papers 17998, National Bureau of Economic Research, Inc.
- Kenneth Rogoff & Domenico Ferraro & Barbara Rossi, 2015. "Can Oil Prices Forecast Exchange Rates?," Working Papers 803, Barcelona School of Economics.
- Domenico Ferraro & Ken Rogoff & Barbara Rossi, 2011. "Can Oil Prices Forecast Exchange Rates?," Working Papers 11-05, Duke University, Department of Economics.
- Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Wese Simen, Chardin, 2019.
"The risk premium of gold,"
Journal of International Money and Finance, Elsevier, vol. 94(C), pages 140-159.
- Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Wese Simen, Chardin, 2017. "The Risk Premium of Gold," Hannover Economic Papers (HEP) dp-616, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Zhu, Yanhui & Fan, Jingwen & Tucker, Jon, 2018. "The impact of monetary policy on gold price dynamics," Research in International Business and Finance, Elsevier, vol. 44(C), pages 319-331.
- Engel, Charles & Wu, Steve Pak Yeung, 2023.
"Forecasting the U.S. Dollar in the 21st Century,"
Journal of International Economics, Elsevier, vol. 141(C).
- Charles Engel & Steve Pak Yeung Wu, 2021. "Forecasting the U.S. Dollar in the 21st Century," NBER Working Papers 28447, National Bureau of Economic Research, Inc.
- Engel, Charles & Wu, Steve Pak Yeung, 2021. "Forecasting the U.S. Dollar in the 21st Century," CEPR Discussion Papers 15915, C.E.P.R. Discussion Papers.
- David Alan Peel & Pantelis Promponas, 2016. "Forecasting the nominal exchange rate movements in a changing world. The case of the U.S. and the U.K," Working Papers 144439514, Lancaster University Management School, Economics Department.
- Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022.
"Forecasting: theory and practice,"
International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
- Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
- Giannellis, Nikolaos & Koukouritakis, Minoas, 2019.
"Gold price and exchange rates: A panel smooth transition regression model for the G7 countries,"
The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 27-46.
- Nikolaos Giannellis & Minoas Koukouritakis, 2018. "Gold Price and Exchange Rates: A Panel Smooth Transition Regression Model for the G7 Countries," Working Papers 1806, University of Crete, Department of Economics.
- Fratzscher, Marcel & Rime, Dagfinn & Sarno, Lucio & Zinna, Gabriele, 2015.
"The scapegoat theory of exchange rates: the first tests,"
Journal of Monetary Economics, Elsevier, vol. 70(C), pages 1-21.
- Sarno, Lucio & Fratzscher, Marcel & Zinna, Gabriele, 2012. "The Scapegoat Theory of Exchange Rates: The First Tests," CEPR Discussion Papers 8812, C.E.P.R. Discussion Papers.
- Fratzscher, Marcel & Sarno, Lucio & Zinna, Gabriele, 2012. "The scapegoat theory of exchange rates: the first tests," Working Paper Series 1418, European Central Bank.
- Marcel Fratzscher & Lucio Sarno & Gabriele Zinna, 2013. "The Scapegoat Theory of Exchange Rates: The First Tests," Discussion Papers of DIW Berlin 1290, DIW Berlin, German Institute for Economic Research.
- Marcel Fratzscher & Dagfinn Rime & Lucio Sarno & Gabriele Zinna, 2014. "The scapegoat theory of exchange rates: the first tests," Temi di discussione (Economic working papers) 991, Bank of Italy, Economic Research and International Relations Area.
- Hassanniakalager, Arman & Sermpinis, Georgios & Stasinakis, Charalampos, 2021. "Trading the foreign exchange market with technical analysis and Bayesian Statistics," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 230-251.
- Nonejad, Nima, 2021. "Predicting equity premium using dynamic model averaging. Does the state–space representation matter?," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
- Thomas Conlon & Brian M. Lucey & Gazi Salah Uddin, 2018. "Is gold a hedge against inflation? A wavelet time-scale perspective," Review of Quantitative Finance and Accounting, Springer, vol. 51(2), pages 317-345, August.
- Risse, Marian & Ohl, Ludwig, 2017. "Using dynamic model averaging in state space representation with dynamic Occam’s window and applications to the stock and gold market," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 158-176.
More about this item
Keywords
Bayesian econometrics; Dynamic Model Averaging; Forecasting; Gold;All these keywords.
JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
- F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finana:v:48:y:2016:i:c:p:282-291. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620166 .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.