This document has not been cited yet.

1. [10] Behmiri N. B., and Manera, M. (2015). The role of outliers and oil price shocks on volatility of metal prices. Resources Policy, 46(2), pp. 139–150.

2. [11] Bernhart, G., Hocht, S., Neugebauer, M., Neumann, M. and Zagst, R. (2011). Asset correlations in turbulent markets and the impact of different regimes on asset management. Asia-Pacific Journal of Operational Research, 28(1), pp. 1– 23.

3. [12] Bildirici, M. E. and Turkmen, C. (2015). Nonlinear causality between oil and precious metals. Resources Policy, 46(2), pp. 202–211.
   Paper not yet in RePEc: Add citation now
   

4. [13] Bollerslev, T. (1990). Modelling the coherence in short-run nominal exchange rates: A multivariate generalized arch model. The Review of Economics and Statistics, 72(3), pp. 498-506. 92 Paolo Zagaglia

5. [14] Brandt, M. W., Goyal, A., Santa Clara, P. and Stroud, J. R. (2005). A simulation approach to dynamic portfolio choice with an application to learning about return predictability. Review of Financial Studies, 18(2), pp. 831–873.

6. [15] Brooks, S. P. and Gelman, A. (1998). General methods for monitoring convergence of iterative simulations. Journal of Computational and Graphical Statistics, 7(4), pp. 434–455.
   Paper not yet in RePEc: Add citation now
   

7. [16] Buraschi, A., Porchia, P. and Trojani, F. (2010). Correlation risk and optimal portfolio choice. Journal of Finance, 65(1), pp. 393–420.

8. [17] Christoffersen, P. and Pan, X. (2018). Oil volatility risk and expected stock returns. Journal of Banking and Finance, 95, pp. 5–26.

9. [18] Collin-Dufresne, P., Daniel, K., Moallemi, C. C. and Saglam, M. (2012). Strategic asset allocation with predictable returns and transaction costs. unpublished manuscript available at http://www.princeton.edu/~msaglam/dpc.pdf.
   Paper not yet in RePEc: Add citation now
   
10. [19] Della Corte, P., Sarno, L. and Tsiakas, I (2013). Volatility and Correlation Timing in Active Currency Management, in Handbook of Exchange Rates, Chapter 15, pp. 221–263. Wiley, London.
    Paper not yet in RePEc: Add citation now
    
11. [2] Alvarez, I., Niemi, J. and Simpson, M. (2014). Bayesian inference for a covariance matrix. unpublished manuscript available at https://arxiv.org/pdf/1408.4050.
    Paper not yet in RePEc: Add citation now
    

12. [20] Ding, Z., Granger, C. W. J. and Engle, R. R. (1993). A long memory property of stock market returns and a new model. Journal of Empirical Finance, 1, pp. 83–106.

13. [21] Engle, R. F. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business and Economic Statistics, 20(3), pp. 339–350.

14. [22] Engle, R. F. and Kroner, K. (1995). Multivariate Simultaneous Generalized ARCH. Econometric Theory, 11, pp. 122–150.

15. [23] Engle, R. F. and Sheppard, K. (2001). Theoretical and empirical properties of dynamic conditional correlation multivariate GARCH. NBER Working Paper 8554.

16. [25] Ferrer, R., Shahzad, S. J. H., Lopez, R. and Jareno, F. (2018). Time and frequency dynamics of connectedness between renewable energy stocks and crude oil prices. Energy Economics, 76, pp. 1–20.

17. [26] Fioruci, J. A., Ehlers, R. S. and Filho, M. G. A. (2014). Bayesian multivariate garch models with dynamic correlations and asymmetric error distributions. Journal of Applied Statistics, 41(2), pp. 320–331.

18. [27] Fleming, J., Kirby, C. and Ostdiek, B. (2001). The economic value of volatility timing. Journal of Finance, 56:329–352, 2001.

19. [28] Geweke, J. F. (2005). Contemporary Bayesian Econometrics and Statistics. John Wiley and Sons.
    Paper not yet in RePEc: Add citation now
    
20. [29] Ha, J., Kose, M. A., Ohnsorge, F. and Yilmazkuday, H. (2024). What explains global inflation. IMF Economic Review. Stocks, Gold and Crude Oil: How Valuable are Volatility and Correlation Timing? 93
    Paper not yet in RePEc: Add citation now
    
21. [3] Anderson, T. W., and Darling, D. A. (1952). Asymptotic theory of certain goodness-of-fit criteria based on stochastic processes. Annals of Mathematical Statistics, 23.
    Paper not yet in RePEc: Add citation now
    

22. [30] Hammoudeh, S. and Yuan, Y. (2008). Metal volatility in presence of oil and interest rate shocks. Energy Economics, 30(2), pp. 606–620.

23. [31] Han, Y. (2006). Asset allocation with a high-dimensional latent factor stochastic volatility model. Review of Financial Studies, 19(1), pp. 237–271.

24. [32] Jain, A. and Ghosh, S. (2013). Dynamics of global oil prices, exchange rate and precious metal prices in India. Resources Policy, 38(1), pp. 88–93.
    Paper not yet in RePEc: Add citation now
    

25. [33] Jondeau, E. and Rockinger, M. (2006). The economic value of distributional timing. unpublished manuscript available at http://papers.ssrn.com/sol3/papers.cfm?abstract_id=963288.

26. [34] Kandel, S. and Stambaugh, R. F. (1991). Asset returns and intertemporal preference. Journal of Monetary Economics, 27(1), pp. 39–71.

27. [35] Kandel, S. and Stambaugh, R. F. (1996). On the predictability of stock returns: An asset allocation perspective. Journal of Finance, 51(2), pp. 385-424.

28. [36] Kolodziej, M., Kaufmann, R. K., Kulatilaka, N., Bicchetti, D. and Maystre, N. (2014). Crude oil: Commodity or financial asset? Energy Economics, 46(1), pp. 216–223.

29. [37] Kumar, S. (2017). On the nonlinear relation between crude oil and gold. Resources Policy, 51, pp. 219–224.
    Paper not yet in RePEc: Add citation now
    
30. [39] Mehra, R. and Prescott, E. C. (1985). The equity premium: A puzzle. Journal of Monetary Economics, 15(2), pp. 145–161.
    Paper not yet in RePEc: Add citation now
    
31. [4] Avramov, D. (2002). Stock return predictability and model uncertainty. Journal of Financial Economics, 64(3), pp. 423–458.
    Paper not yet in RePEc: Add citation now
    

32. [40] Mensi, W., Ziadat, S. A., Al Rababa’a, A. R., Vo, X. V. and Kang, S. H. (2024). Oil, gold and international stock markets: Extreme spillovers, connectedness and its determinants. The Quarterly Review of Economics and Finance, 95(C), pp. 1–17.

33. [41] Rast, P., Martin, S., Liu, S. and Williams, D. (2022). A new frontier for studying within-person variability: Bayesian multivariate generalized autoregressive conditional heteroskedasticity models. Psychol Methods, 27(5), pp. 856-873.
    Paper not yet in RePEc: Add citation now
    
34. [42] Ravazzolo, F. and Lombardi, M. (2016). On the correlation between commodity and equity returns: Implications for portfolio allocation. Journal of Commodity Markets, 2(1), pp. 45–57.
    Paper not yet in RePEc: Add citation now
    
35. [43] Reboredo, J. C. (2013). Is gold a safe haven or a hedge for the us dollar? implications for risk management. Journal of Banking and Finance, 37(3), pp. 2665–2676.
    Paper not yet in RePEc: Add citation now
    

36. [44] Sari, R., Hammoudeh, S. and Soytas, U. (2010). Dynamics of oil price, precious metal prices, and exchange rate. Energy Economics, 32(2), pp. 351– 362.

37. [45] Spiegelhalter, D. J., Best, N. G., Carlin, B. P. and van der Linde, A. (2002). Bayesian measures of model complexity and fit. Journal of Royal Statistical Society, Series B, 64(4), pp. 583–639. 94 Paolo Zagaglia

38. [46] West, K. D., Edison, H. J. and Cho, D. (1993). A utility-based comparison of some models of exchange rate volatility. Journal of International Economics, 35(1-2), pp. 23–45.

39. [47] Zhang, C. and Tu, X. (2016). The effect of global oil price shocks on china’s metal markets. Energy Policy, 90, pp. 131–139.

40. [5] Barberis, N. (2000). Investing for the long run when returns are predictable. Journal of Finance, 55(1), pp. 225–264.

41. [6] Bates, J. M. and Granger, C. W. J. (1969). The combination of forecasts. Operations Research Quarterly, 20(4), pp. 451–468.
    Paper not yet in RePEc: Add citation now
    

42. [7] Baur, D. G. and Lucey, B.M. (2010). Is gold a hedge or a safe haven? an analysis of stocks, bonds and gold. Financial Review, 45(2), pp. 217–229.

43. [8] Bauwens, L., Lubrano, M. and Richard, J. F. (1999). Bayesian Inference in Dynamic Econometric Models. Oxford University Press.
    Paper not yet in RePEc: Add citation now
    

44. [9] Bedoui, R., Braeik, S., Goutte, S. and Guesmi, K. (2018). On the study of conditional dependence structure between oil, gold and USD exchange rates. International Review of Financial Analysis, 59:134–146.

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    In: Energy.
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    In: The North American Journal of Economics and Finance.
    RePEc:eee:ecofin:v:63:y:2022:i:c:s1062940822001498.

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    In: International Review of Economics & Finance.
    RePEc:eee:reveco:v:73:y:2021:i:c:p:407-419.

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    In: Resources Policy.
    RePEc:eee:jrpoli:v:74:y:2021:i:c:s0301420721004207.

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    In: Resources Policy.
    RePEc:eee:jrpoli:v:74:y:2021:i:c:s0301420721003081.

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    In: Resources Policy.
    RePEc:eee:jrpoli:v:73:y:2021:i:c:s0301420721002397.

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    In: Resources Policy.
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    Full description at Econpapers || Download paper

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    In: Energy Economics.
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    In: Energy Economics.
    RePEc:eee:eneeco:v:97:y:2021:i:c:s0140988321000979.

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    In: Energy Economics.
    RePEc:eee:eneeco:v:94:y:2021:i:c:s0140988320304011.

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    In: Energy Economics.
    RePEc:eee:eneeco:v:103:y:2021:i:c:s014098832100445x.

    Full description at Econpapers || Download paper

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    In: Economic Modelling.
    RePEc:eee:ecmode:v:94:y:2021:i:c:p:75-90.

    Full description at Econpapers || Download paper

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    In: International Journal of Energy Economics and Policy.
    RePEc:eco:journ2:2021-01-35.

    Full description at Econpapers || Download paper

25. Copula-based local dependence among energy, agriculture and metal commodities markets. (2020). Tiwari, Aviral ; Ji, Qiang ; Albulescu, Claudiu.
    In: Working Papers.
    RePEc:hal:wpaper:hal-02501815.

    Full description at Econpapers || Download paper

26. Time-varying volatility spillovers between oil prices and precious metal prices. (2020). Esen, Omer ; Çevik, Emrah ; Cevik, Emrah Ismail ; Yildirim, Durmu Ari.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:68:y:2020:i:c:s0301420720303330.

    Full description at Econpapers || Download paper

27. Dynamics and correlation of platinum-group metals spot prices. (2020). Bao, Dun.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:68:y:2020:i:c:s0301420720301975.

    Full description at Econpapers || Download paper

28. The impact of oil price on the clean energy metal prices: A multi-scale perspective. (2020). Shao, Liuguo ; Zhang, Hua.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:68:y:2020:i:c:s0301420719308657.

    Full description at Econpapers || Download paper

29. Testing for multiple bubbles in the copper price: Periodically collapsing behavior. (2020). Wang, Xiao-Qing ; Tao, Ran ; Lobon, Oana-Ramona ; Moldovan, Nicoleta-Claudia ; Zhu, Haotian ; Su, Chi-Wei.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:65:y:2020:i:c:s0301420719301825.

    Full description at Econpapers || Download paper

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    In: Resources Policy.
    RePEc:eee:jrpoli:v:65:y:2020:i:c:s0301420719300832.

    Full description at Econpapers || Download paper

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    In: Energy.
    RePEc:eee:energy:v:213:y:2020:i:c:s0360544220318880.

    Full description at Econpapers || Download paper

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    In: Energy.
    RePEc:eee:energy:v:212:y:2020:i:c:s0360544220317655.

    Full description at Econpapers || Download paper

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    In: Energy.
    RePEc:eee:energy:v:202:y:2020:i:c:s0360544220308690.

    Full description at Econpapers || Download paper

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    In: Energy.
    RePEc:eee:energy:v:191:y:2020:i:c:s0360544219322807.

    Full description at Econpapers || Download paper

35. Copula-based local dependence between energy, agriculture and metal commodity markets. (2020). Tiwari, Aviral ; Ji, Qiang ; Albulescu, Claudiu.
    In: Papers.
    RePEc:arx:papers:2003.04007.

    Full description at Econpapers || Download paper

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    In: Resources Policy.
    RePEc:eee:jrpoli:v:64:y:2019:i:c:s0301420718304458.

    Full description at Econpapers || Download paper

37. The nexus between the oil price and its volatility risk in a stochastic volatility in the mean model with time-varying parameters. (2019). Ozdemir, Zeynel ; Balcilar, Mehmet.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:61:y:2019:i:c:p:572-584.

    Full description at Econpapers || Download paper

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    In: Resources Policy.
    RePEc:eee:jrpoli:v:61:y:2019:i:c:p:522-531.

    Full description at Econpapers || Download paper

39. Nonlinear relationships amongst the implied volatilities of crude oil and precious metals. (2019). Roubaud, David ; Bouri, Elie ; Dutta, Anupam.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:61:y:2019:i:c:p:473-478.

    Full description at Econpapers || Download paper

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    In: Resources Policy.
    RePEc:eee:jrpoli:v:61:y:2019:i:c:p:250-260.

    Full description at Econpapers || Download paper

41. Leverage effect in energy futures revisited. (2019). Carnero, M. Angeles ; Perez, Ana.
    In: Energy Economics.
    RePEc:eee:eneeco:v:82:y:2019:i:c:p:237-252.

    Full description at Econpapers || Download paper

42. EMPIRICAL ANALYSIS OF THE RELATIONSHIP BETWEEN OIL AND PRECIOUS METALS MARKETS. (2018). Mokni, Khaled.
    In: Annals of Financial Economics (AFE).
    RePEc:wsi:afexxx:v:13:y:2018:i:01:n:s2010495218500033.

    Full description at Econpapers || Download paper

43. Do global oil price shocks affect Indian metal market?. (2018). .
    In: Energy & Environment.
    RePEc:sae:engenv:v:29:y:2018:i:6:p:891-904.

    Full description at Econpapers || Download paper

44. Learning from R&D outsourcing vs. learning by R&D outsourcing. (2018). Un, Annique C ; Rodrguez, Alicia.
    In: Technovation.
    RePEc:eee:techno:v:72-73:y:2018:i::p:24-33.

    Full description at Econpapers || Download paper

45. Dynamic linkages among global oil market, agricultural raw material markets and metal markets: An application of wavelet and copula approaches. (2018). Jiang, Yonghong ; Lao, Jiashun ; Nie, HE ; Mo, Bin.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:508:y:2018:i:c:p:265-279.

    Full description at Econpapers || Download paper

46. Impacts of oil volatility shocks on metal markets: A research note. (2018). Dutta, Anupam.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:55:y:2018:i:c:p:9-19.

    Full description at Econpapers || Download paper

47. Volatility forecasting of non-ferrous metal futures: Covariances, covariates or combinations?. (2017). Molnár, Peter ; Lyócsa, Štefan ; Lyocsa, Tefan ; Molnar, Peter ; Todorova, Neda.
    In: Journal of International Financial Markets, Institutions and Money.
    RePEc:eee:intfin:v:51:y:2017:i:c:p:228-247.

    Full description at Econpapers || Download paper

48. Return spillovers between white precious metal ETFs: The role of oil, gold, and global equity. (2017). Yarovaya, Larisa ; Wang, Shixuan ; Vigne, Samuel A ; Keung, Marco Chi.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:52:y:2017:i:c:p:316-332.

    Full description at Econpapers || Download paper

49. The financial economics of white precious metals — A survey. (2017). Yarovaya, Larisa ; O'Connor, Fergal ; lucey, brian ; Vigne, Samuel A ; Oconnor, Fergal A.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:52:y:2017:i:c:p:292-308.

    Full description at Econpapers || Download paper

50. Forecasting crude oil market volatility: can the Regime Switching GARCH model beat the single-regime GARCH models?. (2015). Zhang, Yue-Jun ; He, Ling-Yun ; Yao, Ting.
    In: Papers.
    RePEc:arx:papers:1512.01676.

    Full description at Econpapers || Download paper

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