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Clinton Watkins

Personal Details

First Name:Clinton
Middle Name:
Last Name:Watkins
Suffix:
RePEc Short-ID:pwa618
[This author has chosen not to make the email address public]
https://www.clintonwatkins.com/
Terminal Degree:2003 Department of Economics; Business School; University of Western Australia (from RePEc Genealogy)

Affiliation

(99%) Global Business Research Group
Akita International University

Akita, Japan
https://gb-research.github.io/
RePEc:edi:gbakijp (more details at EDIRC)

(1%) Faculty of Economics
Kobe University

Kobe, Japan
http://www.econ.kobe-u.ac.jp/
RePEc:edi:fekobjp (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Kentaro Iwatsubo & Clinton Watkins, 2021. "The Changing Role of Foreign Investors in Tokyo Stock Price Formation," Discussion Papers 2106, Graduate School of Economics, Kobe University.
  2. McAleer, M.J. & Nakamura, T. & Watkins, C., 2019. "Size, Internationalization and University Rankings: Evaluating and Predicting Times Higher Education (THE) Data for Japan," Econometric Institute Research Papers EI2019-12, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  3. Kentaro Iwatsubo & Clinton Watkins, 2018. "Who Influences the Fundamental Value of Commodity Futures in Japan?," Discussion Papers 1830, Graduate School of Economics, Kobe University.
  4. McAleer, M.J. & Nakamura, T. & Watkins, C., 2018. "Size, Internationalization and University Rankings: Evaluating Times Higher Education (THE) Data for Japan," Econometric Institute Research Papers EI2018-43, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  5. IWATSUBO Kentaro & Clinton WATKINS & XU Tao, 2017. "Intraday Seasonality in Efficiency, Liquidity, Volatility, and Volume: Platinum and gold futures in Tokyo and New York," Discussion papers 17120, Research Institute of Economy, Trade and Industry (RIETI).
  6. Clinton Watkins & Michael McAleer, 2003. "Pricing of Non-ferrous Metals Futures on the London Metal Exchange," CIRJE F-Series CIRJE-F-213, CIRJE, Faculty of Economics, University of Tokyo.
  7. Clinton WATKINS & Michael McALEER, 2002. "Volatility of a Market Index and its Components: An Application to Commodity Markets," Computing in Economics and Finance 2002 18, Society for Computational Economics.

Articles

  1. Kentaro Iwatsubo & Clinton Watkins, 2022. "Causality between Arbitrage and Liquidity in Platinum Futures," JRFM, MDPI, vol. 15(12), pages 1-17, December.
  2. Hiroki, Takashi & Iwatsubo, Kentaro & Watkins, Clinton, 2022. "Does firm-level productivity predict stock returns?," Pacific-Basin Finance Journal, Elsevier, vol. 72(C).
  3. Iwatsubo, Kentaro & Watkins, Clinton, 2021. "The changing role of foreign investors in Tokyo stock price formation," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
  4. Iwatsubo, Kentaro & Watkins, Clinton, 2020. "Who influences the fundamental value of commodity futures in Japan?," International Review of Financial Analysis, Elsevier, vol. 67(C).
  5. Michael McAleer & Tamotsu Nakamura & Clinton Watkins, 2019. "Size, Internationalization, and University Rankings: Evaluating and Predicting Times Higher Education (THE) Data for Japan," Sustainability, MDPI, vol. 11(5), pages 1-12, March.
  6. Iwatsubo, Kentaro & Watkins, Clinton & Xu, Tao, 2018. "Intraday seasonality in efficiency, liquidity, volatility and volume: Platinum and gold futures in Tokyo and New York," Journal of Commodity Markets, Elsevier, vol. 11(C), pages 59-71.
  7. Watkins, Clinton & McAleer, Michael, 2008. "How has volatility in metals markets changed?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 237-249.
  8. Clinton Watkins & Michael McAleer, 2006. "Pricing of non-ferrous metals futures on the London Metal Exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 16(12), pages 853-880.
  9. Watkins, Clinton & McAleer, Michael, 2005. "Related commodity markets and conditional correlations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 567-579.
  10. Clinton Watkins & Michael McAleer, 2004. "Econometric modelling of non‐ferrous metal prices," Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 651-701, December.
  11. Watkins, Clinton & McAleer, Michael, 2002. "Cointegration analysis of metals futures," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 207-221.
  12. Watkins, Clinton, 1997. "The term structure of interest rates and economic activity: An empirical critique," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 487-493.

Chapters

  1. Clinton Watkins, 2008. "Using financial market information in monetary policy: some examples from New Zealand," BIS Papers chapters, in: Bank for International Settlements (ed.), Financial market developments and their implications for monetary policy, volume 39, pages 142-166, Bank for International Settlements.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Kentaro Iwatsubo & Clinton Watkins, 2021. "The Changing Role of Foreign Investors in Tokyo Stock Price Formation," Discussion Papers 2106, Graduate School of Economics, Kobe University.

    Cited by:

    1. Durand, Robert B. & Khuu, Joyce & Smales, Lee A., 2023. "Lost in translation. When sentiment metrics for one market are derived from two different languages," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    2. Chung, Chien-Ping & Chien, Cheng-Yi & Huang, Chia-Hsin & Lee, Hsiu-Chuan, 2021. "Foreign institutional ownership and the effectiveness of technical analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 86-96.

  2. McAleer, M.J. & Nakamura, T. & Watkins, C., 2019. "Size, Internationalization and University Rankings: Evaluating and Predicting Times Higher Education (THE) Data for Japan," Econometric Institute Research Papers EI2019-12, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Tatiane Teixeira & Claudia Tania Picinin, 2024. "University Rankings: Proposal for a Future Research Agenda through a Systematic Literature Review," Sustainability, MDPI, vol. 16(7), pages 1-35, April.
    2. Fernando García & Francisco Guijarro & Javier Oliver, 2021. "A Multicriteria Goal Programming Model for Ranking Universities," Mathematics, MDPI, vol. 9(5), pages 1-17, February.

  3. Kentaro Iwatsubo & Clinton Watkins, 2018. "Who Influences the Fundamental Value of Commodity Futures in Japan?," Discussion Papers 1830, Graduate School of Economics, Kobe University.

    Cited by:

    1. Kumar, Ashish & Badhani, K.N. & Bouri, Elie & Saeed, Tareq, 2021. "Herding behavior in the commodity markets of the Asia-Pacific region," Finance Research Letters, Elsevier, vol. 41(C).

  4. IWATSUBO Kentaro & Clinton WATKINS & XU Tao, 2017. "Intraday Seasonality in Efficiency, Liquidity, Volatility, and Volume: Platinum and gold futures in Tokyo and New York," Discussion papers 17120, Research Institute of Economy, Trade and Industry (RIETI).

    Cited by:

    1. Shusheng Ding & Zhipan Yuan & Fan Chen & Xihan Xiong & Zheng Lu & Tianxiang Cui, 2021. "Impact persistence of stock market risks in commodity markets: Evidence from China," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-22, November.
    2. Ying Jiang & Neil Kellard & Xiaoquan Liu, 2020. "Night trading and market quality: Evidence from Chinese and US precious metal futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(10), pages 1486-1507, October.
    3. You‐How Go & Wee‐Yeap Lau, 2023. "What do we know about informational efficiency? Three puzzles and the new direction forward," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1489-1525, September.
    4. Yamani, Ehab, 2023. "Return–volume nexus in financial markets: A survey of research," Research in International Business and Finance, Elsevier, vol. 65(C).
    5. Ding, Shusheng & Zhang, Yongmin, 2020. "Cross market predictions for commodity prices," Economic Modelling, Elsevier, vol. 91(C), pages 455-462.
    6. Kentaro Iwatsubo & Clinton Watkins, 2018. "Who Influences the Fundamental Value of Commodity Futures in Japan?," Discussion Papers 1830, Graduate School of Economics, Kobe University.
    7. Anastasios Demertzidis, 2019. "Interbank transactions on the intraday frequency: -Different market states and the effects of the financial crisis-," MAGKS Papers on Economics 201932, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    8. Ji, Qiang & Zhang, Dayong, 2019. "China’s crude oil futures: Introduction and some stylized facts," Finance Research Letters, Elsevier, vol. 28(C), pages 376-380.

  5. Clinton Watkins & Michael McAleer, 2003. "Pricing of Non-ferrous Metals Futures on the London Metal Exchange," CIRJE F-Series CIRJE-F-213, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Mohamed El Hedi Arouri & Shawkat Hammoudeh & Duc Khuong Nguyen & Amine Lahiani, 2013. "On the short- and long-run efficiency of energy and precious metal markets," Working Papers hal-00798036, HAL.
    2. Barry A. Goss & S. Gulay Avsar, 2013. "Simultaneity, Forecasting and Profits in London Copper Futures," Australian Economic Papers, Wiley Blackwell, vol. 52(2), pages 79-96, June.
    3. Lien, Donald & Yang, Li, 2008. "Hedging with Chinese metal futures," Global Finance Journal, Elsevier, vol. 19(2), pages 123-138.
    4. Nidhi Choudhary & Girish K. Nair & Harsh Purohit, 2015. "Volatility In Copper Prices In India," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-26, December.
    5. Claudio-Quiroga, Gloria & Gil-Alana, Luis A. & Maiza-Larrarte, Andoni, 2023. "Mineral prices persistence and the development of a new energy vehicle industry in China: A fractional integration approach," Resources Policy, Elsevier, vol. 82(C).
    6. Hu, Haiqing & Chen, Di & Sui, Bo & Zhang, Lang & Wang, Yinyin, 2020. "Price volatility spillovers between supply chain and innovation of financial pledges in China," Economic Modelling, Elsevier, vol. 89(C), pages 397-413.
    7. Todorova, Neda & Worthington, Andrew & Souček, Michael, 2014. "Realized volatility spillovers in the non-ferrous metal futures market," Resources Policy, Elsevier, vol. 39(C), pages 21-31.
    8. Stepanek, Christian & Walter, Matthias & Rathgeber, Andreas, 2013. "Is the convenience yield a good indicator of a commodity's supply risk?," Resources Policy, Elsevier, vol. 38(3), pages 395-405.
    9. Geman, Hélyette & Smith, William O., 2013. "Theory of storage, inventory and volatility in the LME base metals," Resources Policy, Elsevier, vol. 38(1), pages 18-28.
    10. Kshitij Kakade & Aswini Kumar Mishra & Kshitish Ghate & Shivang Gupta, 2022. "Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH‐LSTM based Approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(2), pages 103-117, April.
    11. Watkins, Clinton & McAleer, Michael, 2008. "How has volatility in metals markets changed?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 237-249.
    12. Etoundi Atenga, Eric Martial, 2014. "Asymmetric shocks, persistence in volatility and spillover effects between non ferrous metals on the LME spot market," MPRA Paper 61017, University Library of Munich, Germany.
    13. Sinha, Pankaj & Mathur, Kritika, 2013. "A study on the Price Behavior of Base Metals traded in India," MPRA Paper 47028, University Library of Munich, Germany.
    14. Todorova, Neda, 2015. "The course of realized volatility in the LME non-ferrous metal market," Economic Modelling, Elsevier, vol. 51(C), pages 1-12.
    15. Han, Xuyuan & Liu, Zhenya & Wang, Shixuan, 2022. "An R-vine copula analysis of non-ferrous metal futures with application in Value-at-Risk forecasting," Journal of Commodity Markets, Elsevier, vol. 25(C).
    16. Fernandez, Viviana, 2017. "A historical perspective of the informational content of commodity futures," Resources Policy, Elsevier, vol. 51(C), pages 135-150.
    17. Ciner, Cetin & Lucey, Brian & Yarovaya, Larisa, 2020. "Spillovers, integration and causality in LME non-ferrous metal markets," Journal of Commodity Markets, Elsevier, vol. 17(C).
    18. Mohamed El Hedi Arouri & Fredj Jawadi & Prosper Mouak, 2013. "Testing the efficiency of the aluminium market: evidence from London metal exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 23(6), pages 483-493, March.
    19. Mark Cummins & Brian M. Lucey & Michael M. Dowling, 2014. "Behavioral Influences in Non-Ferrous Metals Prices," The Institute for International Integration Studies Discussion Paper Series iiisdp459, IIIS.
    20. Chen, Xiangyu & Tongurai, Jittima, 2022. "Spillovers and interdependency across base metals: Evidence from China's futures and spot markets," Resources Policy, Elsevier, vol. 75(C).
    21. Fernandez, Viviana, 2020. "The predictive power of convenience yields," Resources Policy, Elsevier, vol. 65(C).
    22. Morales, Lucía & Andreosso-O'Callaghan, Bernadette, 2011. "Comparative analysis on the effects of the Asian and global financial crises on precious metal markets," Research in International Business and Finance, Elsevier, vol. 25(2), pages 203-227, June.
    23. Omura, Akihiro & Todorova, Neda & Li, Bin & Chung, Richard, 2015. "Convenience yield and inventory accessibility: Impact of regional market conditions," Resources Policy, Elsevier, vol. 44(C), pages 1-11.
    24. Sanidas, Elias, 2014. "Four harmonic cycles explain and predict commodity currencies' wide long term fluctuations," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 135-151.

  6. Clinton WATKINS & Michael McALEER, 2002. "Volatility of a Market Index and its Components: An Application to Commodity Markets," Computing in Economics and Finance 2002 18, Society for Computational Economics.

    Cited by:

    1. Dipankor Coondoo & Paramita Mukherjee, 2004. "Components of volatility and their empirical measures: a note," Applied Financial Economics, Taylor & Francis Journals, vol. 14(18), pages 1313-1318.

Articles

  1. Iwatsubo, Kentaro & Watkins, Clinton, 2021. "The changing role of foreign investors in Tokyo stock price formation," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    See citations under working paper version above.
  2. Iwatsubo, Kentaro & Watkins, Clinton, 2020. "Who influences the fundamental value of commodity futures in Japan?," International Review of Financial Analysis, Elsevier, vol. 67(C).
    See citations under working paper version above.
  3. Michael McAleer & Tamotsu Nakamura & Clinton Watkins, 2019. "Size, Internationalization, and University Rankings: Evaluating and Predicting Times Higher Education (THE) Data for Japan," Sustainability, MDPI, vol. 11(5), pages 1-12, March.
    See citations under working paper version above.
  4. Iwatsubo, Kentaro & Watkins, Clinton & Xu, Tao, 2018. "Intraday seasonality in efficiency, liquidity, volatility and volume: Platinum and gold futures in Tokyo and New York," Journal of Commodity Markets, Elsevier, vol. 11(C), pages 59-71.
    See citations under working paper version above.
  5. Watkins, Clinton & McAleer, Michael, 2008. "How has volatility in metals markets changed?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 237-249.

    Cited by:

    1. Hammoudeh, S.M. & Yuan, Y. & McAleer, M.J. & Thompson, M.A., 2009. "Precious Metals-Exchange Rate Volatility Transmissions and Hedging Strategies," Econometric Institute Research Papers EI 2009-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Naeem, Muhammad Abubakr & Hasan, Mudassar & Arif, Muhammad & Suleman, Muhammad Tahir & Kang, Sang Hoon, 2022. "Oil and gold as a hedge and safe-haven for metals and agricultural commodities with portfolio implications," Energy Economics, Elsevier, vol. 105(C).
    3. Jean Pierre Fernández Prada Saucedo & Gabriel Rodríguez, 2020. "Modeling the Volatility of Returns on Commodities: An Application and Empirical Comparison of GARCH and SV Models," Documentos de Trabajo / Working Papers 2020-484, Departamento de Economía - Pontificia Universidad Católica del Perú.
    4. Tangyong Liu & Xu Gong & Boqiang Lin, 2021. "Analyzing the frequency dynamics of volatility spillovers across precious and industrial metal markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(9), pages 1375-1396, September.
    5. Gil-Alana, Luis Alberiko & Poza, Carlos, 2024. "Volatility persistence in metal prices," Resources Policy, Elsevier, vol. 88(C).
    6. Choi, Kyongwook & Hammoudeh, Shawkat, 2010. "Volatility behavior of oil, industrial commodity and stock markets in a regime-switching environment," Energy Policy, Elsevier, vol. 38(8), pages 4388-4399, August.
    7. Xu Gong & Boqiang Lin, 2018. "Structural breaks and volatility forecasting in the copper futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(3), pages 290-339, March.
    8. Hammoudeh, S.M. & Yuan, Y. & McAleer, M.J., 2010. "Exchange Rate and Industrial Commodity Volatility Transmissions, Asymmetries and Hedging Strategies," Econometric Institute Research Papers EI 2010-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Karanasos, Menelaos & Menla Ali, Faek & Margaronis, Zannis & Nath, Rajat, 2018. "Modelling time varying volatility spillovers and conditional correlations across commodity metal futures," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 246-256.
    10. Zhu, Xuehong & Zhang, Hongwei & Zhong, Meirui, 2017. "Volatility forecasting using high frequency data: The role of after-hours information and leverage effects," Resources Policy, Elsevier, vol. 54(C), pages 58-70.
    11. Todorova, Neda & Worthington, Andrew & Souček, Michael, 2014. "Realized volatility spillovers in the non-ferrous metal futures market," Resources Policy, Elsevier, vol. 39(C), pages 21-31.
    12. Mehmet Balcilar & Zeynel Abidin Ozdemir, 2018. "The volatility effect on precious metals prices in a stochastic volatility in mean model with time-varying parameters," Working Papers 15-34, Eastern Mediterranean University, Department of Economics.
    13. Shawkat M. Hammoudeh & Yuan Yuan & Michael McAleer, 2009. "Exchange Rate and Industrial Commodity Volatility Transmissions and Hedging Strategies," CIRJE F-Series CIRJE-F-668, CIRJE, Faculty of Economics, University of Tokyo.
    14. Arouri, Mohamed El Hedi & Hammoudeh, Shawkat & Lahiani, Amine & Nguyen, Duc Khuong, 2012. "Long memory and structural breaks in modeling the return and volatility dynamics of precious metals," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(2), pages 207-218.
    15. Li, Gang & Li, Yong, 2015. "Forecasting copper futures volatility under model uncertainty," Resources Policy, Elsevier, vol. 46(P2), pages 167-176.
    16. Todorova, Neda, 2015. "The course of realized volatility in the LME non-ferrous metal market," Economic Modelling, Elsevier, vol. 51(C), pages 1-12.
    17. Neda Todorova & Michael Soucek & Eduardo Roca, 2015. "Volatility spillovers from international commodity markets to the Australian equity market," Discussion Papers in Finance finance:201505, Griffith University, Department of Accounting, Finance and Economics.
    18. Ciner, Cetin & Lucey, Brian & Yarovaya, Larisa, 2020. "Spillovers, integration and causality in LME non-ferrous metal markets," Journal of Commodity Markets, Elsevier, vol. 17(C).
    19. Jain, Prachi & Maitra, Debasish, 2023. "Risk implications of dependence in the commodities: A copula-based analysis," Global Finance Journal, Elsevier, vol. 57(C).
    20. Lyócsa, Štefan & Molnár, Peter & Todorova, Neda, 2017. "Volatility forecasting of non-ferrous metal futures: Covariances, covariates or combinations?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 228-247.
    21. Balcilar, Mehmet & Ozdemir, Zeynel Abidin, 2019. "The volatility effect on precious metals price returns in a stochastic volatility in mean model with time-varying parameters," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    22. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Olubiyi, Ebenezer A. & Adedeji, Adedayo O., 2023. "The inflation-hedging performance of industrial metals in the world's most industrialized countries," Resources Policy, Elsevier, vol. 81(C).
    23. Adekoya, Oluwasegun B. & Oliyide, Johnson A., 2020. "The hedging effectiveness of industrial metals against different oil shocks: Evidence from the four newly developed oil shocks datasets," Resources Policy, Elsevier, vol. 69(C).
    24. Xiang, Shihui & Cao, Yanyan, 2023. "Green finance and natural resources commodities prices: Evidence from COVID-19 period," Resources Policy, Elsevier, vol. 80(C).
    25. Guo, Jin, 2018. "Co-movement of international copper prices, China's economic activity, and stock returns: Structural breaks and volatility dynamics," Global Finance Journal, Elsevier, vol. 36(C), pages 62-77.

  6. Clinton Watkins & Michael McAleer, 2006. "Pricing of non-ferrous metals futures on the London Metal Exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 16(12), pages 853-880.
    See citations under working paper version above.
  7. Watkins, Clinton & McAleer, Michael, 2005. "Related commodity markets and conditional correlations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 567-579.

    Cited by:

    1. Zhao, Yiran & Gao, Xiangyun & An, Haizhong & Xi, Xian & Sun, Qingru & Jiang, Meihui, 2020. "The effect of the mined cobalt trade dependence Network's structure on trade price," Resources Policy, Elsevier, vol. 65(C).
    2. John T. Cuddington & Arturo L. Va'squez Cordano, 2013. "Linkages between spot and futures prices: Tests of the Fama-French-Samuelson hypotheses," Working Papers 2013-09, Colorado School of Mines, Division of Economics and Business.

  8. Clinton Watkins & Michael McAleer, 2004. "Econometric modelling of non‐ferrous metal prices," Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 651-701, December.

    Cited by:

    1. Su, Chi-Wei & Wang, Xiao-Qing & Zhu, Haotian & Tao, Ran & Moldovan, Nicoleta-Claudia & Lobonţ, Oana-Ramona, 2020. "Testing for multiple bubbles in the copper price: Periodically collapsing behavior," Resources Policy, Elsevier, vol. 65(C).
    2. Mikael Collan & Jyrki Savolainen & Pasi Luukka, 2017. "Investigating the effect of price process selection on the value of a metal mining asset portfolio," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 30(2), pages 107-115, July.
    3. Lien, Donald & Yang, Li, 2008. "Hedging with Chinese metal futures," Global Finance Journal, Elsevier, vol. 19(2), pages 123-138.
    4. Sergio Lehmann & David Moreno & Patricio Jaramillo, 2007. "China, Commodity Prices and Latin American Performance: A Few Stylized Facts," Working Papers Central Bank of Chile 424, Central Bank of Chile.
    5. Nidhi Choudhary & Girish K. Nair & Harsh Purohit, 2015. "Volatility In Copper Prices In India," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-26, December.
    6. Bielak, Łukasz & Grzesiek, Aleksandra & Janczura, Joanna & Wyłomańska, Agnieszka, 2021. "Market risk factors analysis for an international mining company. Multi-dimensional, heavy-tailed-based modelling," Resources Policy, Elsevier, vol. 74(C).
    7. C. A. Tapia Cortez & J. Coulton & C. Sammut & S. Saydam, 2018. "Determining the chaotic behaviour of copper prices in the long-term using annual price data," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-13, December.
    8. Zhu, Xuehong & Zhang, Hongwei & Zhong, Meirui, 2017. "Volatility forecasting using high frequency data: The role of after-hours information and leverage effects," Resources Policy, Elsevier, vol. 54(C), pages 58-70.
    9. Todorova, Neda & Worthington, Andrew & Souček, Michael, 2014. "Realized volatility spillovers in the non-ferrous metal futures market," Resources Policy, Elsevier, vol. 39(C), pages 21-31.
    10. Patricio Jaramillo & Sergio Lehmann & David Moreno., 2009. "China, Precios de Commodities y Desempeño de América Latina: Algunos Hechos Estilizados," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 46(133), pages 67-105.
    11. Qu, Qiushi & Wang, Limao & Cao, Zhi & Zhong, Shuai & Mou, Chufu & Sun, Yanzhi & Xiong, Chenran, 2019. "Unfolding the price effects of non-ferrous industry chain on economic development: A case study of Yunnan province," Resources Policy, Elsevier, vol. 61(C), pages 1-20.
    12. Liu, Chang & Hu, Zhenhua & Li, Yan & Liu, Shaojun, 2017. "Forecasting copper prices by decision tree learning," Resources Policy, Elsevier, vol. 52(C), pages 427-434.
    13. Watkins, Clinton & McAleer, Michael, 2008. "How has volatility in metals markets changed?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 237-249.
    14. Cifuentes, Sebastián & Cortazar, Gonzalo & Ortega, Hector & Schwartz, Eduardo S., 2020. "Expected prices, futures prices and time-varying risk premiums: The case of copper," Resources Policy, Elsevier, vol. 69(C).
    15. Kriechbaumer, Thomas & Angus, Andrew & Parsons, David & Rivas Casado, Monica, 2014. "An improved wavelet–ARIMA approach for forecasting metal prices," Resources Policy, Elsevier, vol. 39(C), pages 32-41.
    16. Khoshalan, Hasel Amini & Shakeri, Jamshid & Najmoddini, Iraj & Asadizadeh, Mostafa, 2021. "Forecasting copper price by application of robust artificial intelligence techniques," Resources Policy, Elsevier, vol. 73(C).
    17. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "Forecasting metal prices: Do forecasters herd?," Discussion Papers 325, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    18. Todorova, Neda, 2015. "The course of realized volatility in the LME non-ferrous metal market," Economic Modelling, Elsevier, vol. 51(C), pages 1-12.
    19. Han, Xuyuan & Liu, Zhenya & Wang, Shixuan, 2022. "An R-vine copula analysis of non-ferrous metal futures with application in Value-at-Risk forecasting," Journal of Commodity Markets, Elsevier, vol. 25(C).
    20. Tomas Brabenec & Josef Montag, 2016. "Criminals and the Price System: Evidence from Czech Metal Thieves," CERGE-EI Working Papers wp558, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    21. K. Triantafyllopoulos, 2008. "Multivariate stochastic volatility with Bayesian dynamic linear models," Papers 0802.0214, arXiv.org.
    22. Cochran, Steven J. & Mansur, Iqbal & Odusami, Babatunde, 2012. "Volatility persistence in metal returns: A FIGARCH approach," Journal of Economics and Business, Elsevier, vol. 64(4), pages 287-305.
    23. Mohamed El Hedi Arouri & Fredj Jawadi & Prosper Mouak, 2013. "Testing the efficiency of the aluminium market: evidence from London metal exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 23(6), pages 483-493, March.
    24. Savolainen, Jyrki, 2016. "Real options in metal mining project valuation: Review of literature," Resources Policy, Elsevier, vol. 50(C), pages 49-65.
    25. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2013. "A note on forecasting the prices of gold and silver: Asymmetric loss and forecast rationality," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(3), pages 294-301.
    26. Lyócsa, Štefan & Molnár, Peter & Todorova, Neda, 2017. "Volatility forecasting of non-ferrous metal futures: Covariances, covariates or combinations?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 228-247.
    27. Mark Cummins & Brian M. Lucey & Michael M. Dowling, 2014. "Behavioral Influences in Non-Ferrous Metals Prices," The Institute for International Integration Studies Discussion Paper Series iiisdp459, IIIS.
    28. Chen, Xiangyu & Tongurai, Jittima, 2022. "Spillovers and interdependency across base metals: Evidence from China's futures and spot markets," Resources Policy, Elsevier, vol. 75(C).
    29. Donghua Wang & Yang Xin & Xiaohui Chang & Xingze Su, 2021. "Realized volatility forecasting and volatility spillovers: Evidence from Chinese non‐ferrous metals futures," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2713-2731, April.
    30. Su, Chi Wei & Song, Xin Yue & Qin, Meng & Lobonţ, Oana-Ramona, 2024. "Is copper a safe haven for oil?," Resources Policy, Elsevier, vol. 91(C).
    31. K. Triantafyllopoulos, 2007. "Covariance estimation for multivariate conditionally Gaussian dynamic linear models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(8), pages 551-569.
    32. Buncic, Daniel & Moretto, Carlo, 2015. "Forecasting copper prices with dynamic averaging and selection models," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 1-38.
    33. Triantafyllopoulos, K. & Nason, G.P., 2007. "A Bayesian analysis of moving average processes with time-varying parameters," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 1025-1046, October.
    34. Chen, Xiangyu & Tongurai, Jittima, 2024. "Revisiting the interdependences across global base metal futures markets: Evidence during the main waves of the COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 70(PB).
    35. Triantafyllopoulos, Kostas, 2006. "Multivariate discount weighted regression and local level models," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3702-3720, August.
    36. Todorova, Neda & Clements, Adam E., 2018. "The volatility-volume relationship in the LME futures market for industrial metals," Resources Policy, Elsevier, vol. 58(C), pages 111-124.

  9. Watkins, Clinton & McAleer, Michael, 2002. "Cointegration analysis of metals futures," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 207-221.

    Cited by:

    1. Cagli, Efe Caglar & Taskin, Dilvin & Evrim Mandaci, Pınar, 2019. "The short- and long-run efficiency of energy, precious metals, and base metals markets: Evidence from the exponential smooth transition autoregressive models," Energy Economics, Elsevier, vol. 84(C).
    2. Galán-Gutiérrez, Juan Antonio & Martín-García, Rodrigo, 2021. "Cointegration between the structure of copper futures prices and Brexit," Resources Policy, Elsevier, vol. 71(C).
    3. Joseph, Anto & Sisodia, Garima & Tiwari, Aviral Kumar, 2014. "A frequency domain causality investigation between futures and spot prices of Indian commodity markets," Economic Modelling, Elsevier, vol. 40(C), pages 250-258.
    4. Yang, Linghubo & Zhang, Dongxiang, 2013. "Can futures price be a powerful predictor? Frequency domain analysis on Chinese commodity market," Economic Modelling, Elsevier, vol. 35(C), pages 264-271.
    5. Xiangyu Chen & Jittima Tongurai, 2021. "The Relationship Between China’s Real Estate Market and Industrial Metals Futures Market: Evidence from Non-price Measures of the Real Estate Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(4), pages 527-561, December.
    6. Chen, Xiangyu & Tongurai, Jittima, 2022. "Spillovers and interdependency across base metals: Evidence from China's futures and spot markets," Resources Policy, Elsevier, vol. 75(C).
    7. P., Srinivasan, 2011. "Price Discovery and Volatility Spillovers in Indian Spot-Futures Commodity Market," MPRA Paper 47412, University Library of Munich, Germany.
    8. Yu, Hui & Ding, Yinghui & Sun, Qingru & Gao, Xiangyun & Jia, Xiaoliang & Wang, Xinya & Guo, Sui, 2021. "Multi-scale comovement of the dynamic correlations between copper futures and spot prices," Resources Policy, Elsevier, vol. 70(C).
    9. Juan Antonio Galán-Gutiérrez & Rodrigo Martín-García, 2022. "Fundamentals vs. Financialization during Extreme Events: From Backwardation to Contango, a Copper Market Analysis during the COVID-19 Pandemic," Mathematics, MDPI, vol. 10(4), pages 1-23, February.
    10. Chen, Xiangyu & Tongurai, Jittima, 2023. "Informational linkage and price discovery between China's futures and spot markets: Evidence from the US–China trade dispute," Global Finance Journal, Elsevier, vol. 55(C).

  10. Watkins, Clinton, 1997. "The term structure of interest rates and economic activity: An empirical critique," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 487-493.

    Cited by:

    1. Maciel, Leandro & Gomide, Fernando & Ballini, Rosangela, 2016. "A differential evolution algorithm for yield curve estimation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 129(C), pages 10-30.

Chapters

  1. Clinton Watkins, 2008. "Using financial market information in monetary policy: some examples from New Zealand," BIS Papers chapters, in: Bank for International Settlements (ed.), Financial market developments and their implications for monetary policy, volume 39, pages 142-166, Bank for International Settlements.

    Cited by:

    1. Office of Financial Research (ed.), 2014. "Office of Financial Research 2014 Annual Report," Reports, Office of Financial Research, US Department of the Treasury, number 14-1, May.

More information

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 8 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-MST: Market Microstructure (3) 2017-12-03 2017-12-11 2018-12-24
  2. NEP-SBM: Small Business Management (3) 2018-11-19 2019-04-01 2019-04-08
  3. NEP-RMG: Risk Management (2) 2003-04-02 2003-10-20
  4. NEP-EEC: European Economics (1) 2003-04-02
  5. NEP-ETS: Econometric Time Series (1) 2003-10-20

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