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Christian Pierdzioch

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Author Profile
    1. Is there a fix in the gold fix? We simply don’t know…
      by Brian Lucey in Brian M. Lucey on 2014-03-07 03:12:12

Working papers

  1. Rangan Gupta & Yuvana Jaichand & Christian Pierdzioch & Renee van Eyden, 2023. "Realized Stock-Market Volatility of the United States and the Presidential Approval Rating," Working Papers 202311, University of Pretoria, Department of Economics.

    Cited by:

    1. Afees A. Salisu & Wenting Liao & Rangan Gupta & Oguzhan Cepni, 2023. "Economic Conditions and Predictability of US Stock Returns Volatility: Local Factor versus National Factor in a GARCH-MIDAS Model," Working Papers 202323, University of Pretoria, Department of Economics.
    2. Elie Bouri & Rangan Gupta & Christian Pierdzioch, 2024. "Modeling the Presidential Approval Ratings of the United States using Machine-Learning: Does Climate Policy Uncertainty Matter?," Working Papers 202406, University of Pretoria, Department of Economics.

  2. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2022. "Climate Risks and Realized Volatility of Major Commodity Currency Exchange Rates," Working Papers 202210, University of Pretoria, Department of Economics.

    Cited by:

    1. Mohammad Abdullah & Mohammad Ashraful Ferdous Chowdhury & Ajim Uddin & Syed Moudud‐Ul‐Huq, 2023. "Forecasting nonperforming loans using machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1664-1689, November.
    2. Bonato, Matteo & Cepni, Oguzhan & Gupta, Rangan & Pierdzioch, Christian, 2023. "Climate risks and state-level stock market realized volatility," Journal of Financial Markets, Elsevier, vol. 66(C).
    3. Wang, Jiqian & Li, Liang, 2023. "Climate risk and Chinese stock volatility forecasting: Evidence from ESG index," Finance Research Letters, Elsevier, vol. 55(PA).
    4. Karim, Sitara & Naeem, Muhammad Abubakr & Shafiullah, Muhammad & Lucey, Brian M. & Ashraf, Sania, 2023. "Asymmetric relationship between climate policy uncertainty and energy metals: Evidence from cross-quantilogram," Finance Research Letters, Elsevier, vol. 54(C).
    5. Yuqin Zhou & Shan Wu & Zhenhua Liu & Lavinia Rognone, 2023. "The asymmetric effects of climate risk on higher-moment connectedness among carbon, energy and metals markets," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    6. Karmakar, Sayar & Gupta, Rangan & Cepni, Oguzhan & Rognone, Lavinia, 2023. "Climate risks and predictability of the trading volume of gold: Evidence from an INGARCH model," Resources Policy, Elsevier, vol. 82(C).
    7. Santino Del Fava & Rangan Gupta & Christian Pierdzioch & Lavinia Rognone, 2023. "Forecasting International Financial Stress: The Role of Climate Risks," Working Papers 202329, University of Pretoria, Department of Economics.
    8. Shanghui Jia & Xinhui Chen & Liyan Han & Jiayu Jin, 2023. "Global climate change and commodity markets: A hedging perspective," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(10), pages 1393-1422, October.
    9. Kejin Wu & Sayar Karmakar & Rangan Gupta & Christian Pierdzioch, 2023. "Climate Risks and Stock Market Volatility Over a Century in an Emerging Market Economy: The Case of South Africa," Working Papers 202326, University of Pretoria, Department of Economics.

  3. 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.

    Cited by:

    1. Renee van Eyden & Rangan Gupta & Xin Sheng & Joshua Nielsen, 2023. "Predicting Multi-Scale Positive and Negative Stock Market Bubbles in a Panel of G7 Countries: The Role of Oil Price Uncertainty," Working Papers 202332, University of Pretoria, Department of Economics.
    2. Afees A. Salisu & Rangan Gupta, 2023. "Oil Price Returns Skewness and Forecastability of International Stock Returns Over One Century of Data," Working Papers 202339, University of Pretoria, Department of Economics.

  4. Oguzhan Cepni & Rangan Gupta & Daniel Pienaar & Christian Pierdzioch, 2022. "Forecasting the Realized Variance of Oil-Price Returns Using Machine-Learning: Is there a Role for U.S. State-Level Uncertainty?," Working Papers 202205, University of Pretoria, Department of Economics.

    Cited by:

    1. Mohammad Abdullah & Mohammad Ashraful Ferdous Chowdhury & Ajim Uddin & Syed Moudud‐Ul‐Huq, 2023. "Forecasting nonperforming loans using machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1664-1689, November.
    2. 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.
    3. Yin, Libo & Yang, Sen, 2023. "Oil price returns and firm's fixed investment: A production pattern," Energy Economics, Elsevier, vol. 125(C).
    4. Duras, Toni & Javed, Farrukh & Månsson, Kristofer & Sjölander, Pär & Söderberg, Magnus, 2023. "Using machine learning to select variables in data envelopment analysis: Simulations and application using electricity distribution data," Energy Economics, Elsevier, vol. 120(C).

  5. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2022. "Climate Risks and State-Level Stock-Market Realized Volatility," Working Papers 202246, University of Pretoria, Department of Economics.

    Cited by:

    1. Elie Bouri & Rangan Gupta & Christian Pierdzioch, 2024. "Modeling the Presidential Approval Ratings of the United States using Machine-Learning: Does Climate Policy Uncertainty Matter?," Working Papers 202406, University of Pretoria, Department of Economics.

  6. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2021. "El Nino, La Nina, and Forecastability of the Realized Variance of Agricultural Commodity Prices: Evidence from a Machine Learning Approach," Working Papers 202179, University of Pretoria, Department of Economics.

    Cited by:

    1. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2023. "Financial Stress and Realized Volatility: The Case of Agricultural Commodities," Working Papers 202320, University of Pretoria, Department of Economics.

  7. Rangan Gupta & Christian Pierdzioch, 2021. "Climate Risks and Forecastability of the Realized Volatility of Gold and Other Metal Prices," Working Papers 202172, University of Pretoria, Department of Economics.

    Cited by:

    1. Yuqin Zhou & Shan Wu & Zhenhua Liu & Lavinia Rognone, 2023. "The asymmetric effects of climate risk on higher-moment connectedness among carbon, energy and metals markets," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    2. Karmakar, Sayar & Gupta, Rangan & Cepni, Oguzhan & Rognone, Lavinia, 2023. "Climate risks and predictability of the trading volume of gold: Evidence from an INGARCH model," Resources Policy, Elsevier, vol. 82(C).
    3. Santino Del Fava & Rangan Gupta & Christian Pierdzioch & Lavinia Rognone, 2023. "Forecasting International Financial Stress: The Role of Climate Risks," Working Papers 202329, University of Pretoria, Department of Economics.
    4. Salisu, Afees A. & Olaniran, Abeeb & Lasisi, Lukman, 2023. "Climate risk and gold," Resources Policy, Elsevier, vol. 82(C).
    5. Salisu, Afees A. & Ndako, Umar B. & Vo, Xuan Vinh, 2023. "Transition risk, physical risk, and the realized volatility of oil and natural gas prices," Resources Policy, Elsevier, vol. 81(C).

  8. 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.

    Cited by:

    1. Riza Demirer & David Gabauer & Rangan Gupta & Joshua Nielsen, 2023. "Gold-to-Platinum Price Ratio and the Predictability of Bubbles in Financial Markets," Working Papers 202317, University of Pretoria, Department of Economics.
    2. Kyriazis, Nikolaos A. & Papadamou, Stephanos & Tzeremes, Panayiotis, 2023. "Are benchmark stock indices, precious metals or cryptocurrencies efficient hedges against crises?," Economic Modelling, Elsevier, vol. 128(C).

  9. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting Realized Volatility of International REITs: The Role of Realized Skewness and Realized Kurtosis," Working Papers 202114, University of Pretoria, Department of Economics.

    Cited by:

    1. Cui, Jinxin & Maghyereh, Aktham, 2023. "Time-frequency dependence and connectedness among global oil markets: Fresh evidence from higher-order moment perspective," Journal of Commodity Markets, Elsevier, vol. 30(C).
    2. Afees A. Salisu & Rangan Gupta & Elie Bouri, 2022. "Testing the Forecasting Power of Global Economic Conditions for the Volatility of International REITs using a GARCH-MIDAS Approach," Working Papers 202211, University of Pretoria, Department of Economics.
    3. Bonato, Matteo & Çepni, Oğuzhan & Gupta, Rangan & Pierdzioch, Christian, 2021. "Do oil-price shocks predict the realized variance of U.S. REITs?," Energy Economics, Elsevier, vol. 104(C).
    4. Jiqian Wang & Rangan Gupta & Oğuzhan Çepni & Feng Ma, 2023. "Forecasting international REITs volatility: the role of oil-price uncertainty," The European Journal of Finance, Taylor & Francis Journals, vol. 29(14), pages 1579-1597, September.
    5. Matteo Foglia & Vasilios Plakandaras & Rangan Gupta & Elie Bouri, 2023. "Multi-Layer Spillovers between Volatility and Skewness in International Stock Markets Over a Century of Data: The Role of Disaster Risks," Working Papers 202337, University of Pretoria, Department of Economics.
    6. Shixuan Wang & Rangan Gupta & Matteo Bonato & Oguzhan Cepni, 2022. "The Effects of Conventional and Unconventional Monetary Policy Shocks on US REITs Moments: Evidence from VARs with Functional Shocks," Working Papers 202219, University of Pretoria, Department of Economics.
    7. Waqas Hanif & Hee-Un Ko & Linh Pham & Sang Hoon Kang, 2023. "Dynamic connectedness and network in the high moments of cryptocurrency, stock, and commodity markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-40, December.
    8. Cui, Jinxin & Maghyereh, Aktham, 2023. "Higher-order moment risk connectedness and optimal investment strategies between international oil and commodity futures markets: Insights from the COVID-19 pandemic and Russia-Ukraine conflict," International Review of Financial Analysis, Elsevier, vol. 86(C).

  10. Rangan Gupta & Christian Pierdzioch & Wing-Keung Wong, 2021. "A Note on Forecasting the Historical Realized Variance of Oil-Price Movements: The Role of Gold-to-Silver and Gold-to-Platinum Price Ratios," Working Papers 202158, University of Pretoria, Department of Economics.

    Cited by:

    1. Renchu Guan & Aoqing Wang & Yanchun Liang & Jiasheng Fu & Xiaosong Han, 2022. "International Natural Gas Price Trends Prediction with Historical Prices and Related News," Energies, MDPI, vol. 15(10), pages 1-14, May.
    2. Afees A. Salisu & Rangan Gupta & Sayar Karmakar & Sonali Das, 2021. "Forecasting Output Growth of Advanced Economies Over Eight Centuries: The Role of Gold Market Volatility as a Proxy of Global Uncertainty," Working Papers 202133, University of Pretoria, Department of Economics.
    3. Cui, Moyang & Wong, Wing-Keung & Wisetsri, Worakamol & Mabrouk, Fatma & Muda, Iskandar & Li, Zeyun & Hassan, Marria, 2023. "Do oil, gold and metallic price volatilities prove gold as a safe haven during COVID-19 pandemic? Novel evidence from COVID-19 data," Resources Policy, Elsevier, vol. 80(C).
    4. 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).
    5. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2023. "Climate Risks and Forecasting Stock Market Returns in Advanced Economies over a Century," Mathematics, MDPI, vol. 11(9), pages 1-21, April.

  11. Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting the Volatility of Crude Oil: The Role of Uncertainty and Spillovers," Working Papers 202135, University of Pretoria, Department of Economics.

    Cited by:

    1. Yan, Xiang & Bai, Jiancheng & Li, Xiafei & Chen, Zhonglu, 2022. "Can dimensional reduction technology make better use of the information of uncertainty indices when predicting volatility of Chinese crude oil futures?," Resources Policy, Elsevier, vol. 75(C).
    2. Rangan Gupta & Christian Pierdzioch, 2021. "Climate Risks and the Realized Volatility Oil and Gas Prices: Results of an Out-of-Sample Forecasting Experiment," Working Papers 202175, University of Pretoria, Department of Economics.
    3. Rangan Gupta & Christian Pierdzioch & Wing-Keung Wong, 2021. "A Note on Forecasting the Historical Realized Variance of Oil-Price Movements: The Role of Gold-to-Silver and Gold-to-Platinum Price Ratios," Working Papers 202158, University of Pretoria, Department of Economics.
    4. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia, 2023. "Do commodity markets catch a cold from stock markets? Modelling uncertainty spillovers using Google search trends and wavelet coherence," International Review of Financial Analysis, Elsevier, vol. 87(C).
    5. Çepni, Oğuzhan & Gupta, Rangan & Pienaar, Daniel & Pierdzioch, Christian, 2022. "Forecasting the realized variance of oil-price returns using machine learning: Is there a role for U.S. state-level uncertainty?," Energy Economics, Elsevier, vol. 114(C).
    6. Periklis Gogas & Theophilos Papadimitriou, 2022. "Emerging Trends in Energy Economics," Energies, MDPI, vol. 15(14), pages 1-2, July.

  12. Elie Bouri & Rangan Gupta & Christian Pierdzioch & Afees A. Salisu, 2021. "El Nino and Forecastability of Oil-Price Realized Volatility," Working Papers 202105, University of Pretoria, Department of Economics.

    Cited by:

    1. Salisu, Afees A. & Pierdzioch, Christian & Gupta, Rangan, 2022. "Oil tail risks and the forecastability of the realized variance of oil-price: Evidence from over 150 years of data," Finance Research Letters, Elsevier, vol. 46(PB).
    2. Khan, Nasir & Saleem, Asima & Ozkan, Oktay, 2023. "Do geopolitical oil price risk influence stock market returns and volatility of Pakistan: Evidence from novel non-parametric quantile causality approach," Resources Policy, Elsevier, vol. 81(C).
    3. Elie Bouri & Afees A. Salisu & Rangan Gupta, 2023. "The predictive power of Bitcoin prices for the realized volatility of US stock sector returns," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-22, December.
    4. Hong, Yanran & Yu, Jize & Su, Yuquan & Wang, Lu, 2023. "Southern oscillation: Great value of its trends for forecasting crude oil spot price volatility," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 358-368.
    5. Wei, Yu & Zhang, Jiahao & Chen, Yongfei & Wang, Yizhi, 2022. "The impacts of El Niño-southern oscillation on renewable energy stock markets: Evidence from quantile perspective," Energy, Elsevier, vol. 260(C).
    6. 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).
    7. Zhang, Li & Li, Yan & Yu, Sixin & Wang, Lu, 2023. "Risk transmission of El Niño-induced climate change to regional Green Economy Index," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 860-872.
    8. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting Realized Volatility of International REITs: The Role of Realized Skewness and Realized Kurtosis," Working Papers 202114, University of Pretoria, Department of Economics.
    9. Çepni, Oğuzhan & Gupta, Rangan & Pienaar, Daniel & Pierdzioch, Christian, 2022. "Forecasting the realized variance of oil-price returns using machine learning: Is there a role for U.S. state-level uncertainty?," Energy Economics, Elsevier, vol. 114(C).
    10. Gupta, Rangan & Ji, Qiang & Pierdzioch, Christian & Plakandaras, Vasilios, 2023. "Forecasting the conditional distribution of realized volatility of oil price returns: The role of skewness over 1859 to 2023," Finance Research Letters, Elsevier, vol. 58(PC).
    11. Wei, Yu & Zhang, Jiahao & Bai, Lan & Wang, Yizhi, 2023. "Connectedness among El Niño-Southern Oscillation, carbon emission allowance, crude oil and renewable energy stock markets: Time- and frequency-domain evidence based on TVP-VAR model," Renewable Energy, Elsevier, vol. 202(C), pages 289-309.
    12. Salisu, Afees A. & Ndako, Umar B. & Vo, Xuan Vinh, 2023. "Transition risk, physical risk, and the realized volatility of oil and natural gas prices," Resources Policy, Elsevier, vol. 81(C).

  13. Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2021. "Investor Confidence and Forecastability of US Stock Market Realized Volatility : Evidence from Machine Learning," Working Papers 202118, University of Pretoria, Department of Economics.

    Cited by:

    1. Bonato, Matteo & Cepni, Oguzhan & Gupta, Rangan & Pierdzioch, Christian, 2023. "Climate risks and state-level stock market realized volatility," Journal of Financial Markets, Elsevier, vol. 66(C).
    2. Afees A. Salisu & Wenting Liao & Rangan Gupta & Oguzhan Cepni, 2023. "Economic Conditions and Predictability of US Stock Returns Volatility: Local Factor versus National Factor in a GARCH-MIDAS Model," Working Papers 202323, University of Pretoria, Department of Economics.
    3. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2022. "Business Applications and State-Level Stock Market Realized Volatility: A Forecasting Experiment," Working Papers 202247, University of Pretoria, Department of Economics.
    4. Etaf Alshawarbeh & Alanazi Talal Abdulrahman & Eslam Hussam, 2023. "Statistical Modeling of High Frequency Datasets Using the ARIMA-ANN Hybrid," Mathematics, MDPI, vol. 11(22), pages 1-17, November.

  14. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2021. "Climate Risks and Forecasting Stock-Market Returns in Advanced Economies Over a Century," Working Papers 202183, University of Pretoria, Department of Economics.

    Cited by:

    1. Kejin Wu & Sayar Karmakar & Rangan Gupta & Christian Pierdzioch, 2023. "Climate Risks and Stock Market Volatility Over a Century in an Emerging Market Economy: The Case of South Africa," Working Papers 202326, University of Pretoria, Department of Economics.

  15. 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.

    Cited by:

    1. Rangan Gupta & Christian Pierdzioch, 2021. "Climate Risks and the Realized Volatility Oil and Gas Prices: Results of an Out-of-Sample Forecasting Experiment," Working Papers 202175, University of Pretoria, Department of Economics.
    2. Wei, Yu & Zhang, Jiahao & Chen, Yongfei & Wang, Yizhi, 2022. "The impacts of El Niño-southern oscillation on renewable energy stock markets: Evidence from quantile perspective," Energy, Elsevier, vol. 260(C).
    3. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2021. "El Nino, La Nina, and Forecastability of the Realized Variance of Agricultural Commodity Prices: Evidence from a Machine Learning Approach," Working Papers 202179, University of Pretoria, Department of Economics.
    4. Wei, Yu & Zhang, Jiahao & Bai, Lan & Wang, Yizhi, 2023. "Connectedness among El Niño-Southern Oscillation, carbon emission allowance, crude oil and renewable energy stock markets: Time- and frequency-domain evidence based on TVP-VAR model," Renewable Energy, Elsevier, vol. 202(C), pages 289-309.

  16. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2021. "Uncertainty and Forecastability of Regional Output Growth in the United Kingdom: Evidence from Machine Learning," Working Papers 202111, University of Pretoria, Department of Economics.

    Cited by:

    1. Afees A. Salisu & Rangan Gupta & Sayar Karmakar & Sonali Das, 2021. "Forecasting Output Growth of Advanced Economies Over Eight Centuries: The Role of Gold Market Volatility as a Proxy of Global Uncertainty," Working Papers 202133, University of Pretoria, Department of Economics.

  17. Pierdzioch, Christian & Schöber, Timo & Stadtmann, Georg, 2021. "Law of one price: BigMac versus Fortnite - A note," Discussion Papers 421, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.

    Cited by:

    1. Benti, Behailu Shiferaw & Haß, Dominik & Stadtmann, Georg, 2021. "Money illusion in free-to-play games," Discussion Papers 422, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.

  18. Afees A. Salisu & Christian Pierdzioch & Rangan Gupta & Renee van Eyden, 2021. "Climate Risks and U.S. Stock-Market Tail Risks: A Forecasting Experiment Using over a Century of Data," Working Papers 202165, University of Pretoria, Department of Economics.

    Cited by:

    1. Santino Del Fava & Rangan Gupta & Christian Pierdzioch & Lavinia Rognone, 2023. "Forecasting International Financial Stress: The Role of Climate Risks," Working Papers 202329, University of Pretoria, Department of Economics.
    2. Kejin Wu & Sayar Karmakar & Rangan Gupta & Christian Pierdzioch, 2023. "Climate Risks and Stock Market Volatility Over a Century in an Emerging Market Economy: The Case of South Africa," Working Papers 202326, University of Pretoria, Department of Economics.

  19. Afees A. Salisu & Christian Pierdzioch & Rangan Gupta, 2021. "Geopolitical Risk and Forecastability of Tail Risk in the Oil Market: Evidence from Over a Century of Monthly Data," Working Papers 202122, University of Pretoria, Department of Economics.

    Cited by:

    1. Salisu, Afees A. & Pierdzioch, Christian & Gupta, Rangan, 2022. "Oil tail risks and the forecastability of the realized variance of oil-price: Evidence from over 150 years of data," Finance Research Letters, Elsevier, vol. 46(PB).
    2. Faheem Aslam & Paulo Ferreira & Haider Ali & Ana Ercília José, 2022. "Application of Multifractal Analysis in Estimating the Reaction of Energy Markets to Geopolitical Acts and Threats," Sustainability, MDPI, vol. 14(10), pages 1-23, May.
    3. Wang, Zhe & Teng, Yin-Pei & Wu, Shuzhao & Liu, Yuxiang & Liu, Xianchang, 2023. "Geopolitical risk, financial system and natural resources extraction: Evidence from China," Resources Policy, Elsevier, vol. 82(C).
    4. Afees A. Salisu & Christian Pierdzioch & Rangan Gupta & Renee van Eyden, 2021. "Climate Risks and U.S. Stock-Market Tail Risks: A Forecasting Experiment Using over a Century of Data," Working Papers 202165, University of Pretoria, Department of Economics.
    5. 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.
    6. 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.
    7. Matteo Foglia & Vasilios Plakandaras & Rangan Gupta & Elie Bouri, 2023. "Multi-Layer Spillovers between Volatility and Skewness in International Stock Markets Over a Century of Data: The Role of Disaster Risks," Working Papers 202337, University of Pretoria, Department of Economics.
    8. Xiao, Jihong & Wen, Fenghua & He, Zhifang, 2023. "Impact of geopolitical risks on investor attention and speculation in the oil market: Evidence from nonlinear and time-varying analysis," Energy, Elsevier, vol. 267(C).
    9. Xiao, Jihong & Liu, Hong, 2023. "The time-varying impact of uncertainty on oil market fear: Does climate policy uncertainty matter?," Resources Policy, Elsevier, vol. 82(C).
    10. Wu, Jie & Zhao, Ruizeng & Sun, Jiasen & Zhou, Xuewei, 2023. "Impact of geopolitical risks on oil price fluctuations: Based on GARCH-MIDAS model," Resources Policy, Elsevier, vol. 85(PB).
    11. Chatziantoniou, Ioannis & Gabauer, David & Gupta, Rangan, 2023. "Integration and risk transmission in the market for crude oil: New evidence from a time-varying parameter frequency connectedness approach," Resources Policy, Elsevier, vol. 84(C).
    12. Aysan, Ahmet Faruk & Polat, Ali Yavuz & Tekin, Hasan & Tunalı, Ahmet Semih, 2022. "The Ascent of Geopolitics: Scientometric Analysis and Ramifications of Geopolitical Risk," MPRA Paper 112741, University Library of Munich, Germany.
    13. 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).
    14. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2023. "Climate Risks and Forecasting Stock Market Returns in Advanced Economies over a Century," Mathematics, MDPI, vol. 11(9), pages 1-21, April.
    15. Salisu, Afees A. & Olaniran, Abeeb & Tchankam, Jean Paul, 2022. "Oil tail risk and the tail risk of the US Dollar exchange rates," Energy Economics, Elsevier, vol. 109(C).
    16. Tin Hei Alpha Yuen & Wai Kee Thomas Yuen, 2022. "Relationship Between Geopolitical Risk In Major Oil Producing Countries and Oil Price," International Journal of Energy Economics and Policy, Econjournals, vol. 12(5), pages 117-123, September.
    17. Salisu, Afees A. & Gupta, Rangan & Pierdzioch, Christian, 2022. "Predictability of tail risks of Canada and the U.S. Over a Century: The role of spillovers and oil tail Risks☆," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    18. Gupta, Rangan & Ji, Qiang & Pierdzioch, Christian & Plakandaras, Vasilios, 2023. "Forecasting the conditional distribution of realized volatility of oil price returns: The role of skewness over 1859 to 2023," Finance Research Letters, Elsevier, vol. 58(PC).
    19. Zhang, Jialin & Shi, Shaodong, 2023. "Extraction of natural resources and geopolitical risk revisited: A novel perspective of research and development with financial development," Resources Policy, Elsevier, vol. 85(PA).
    20. Afees A. Salisu & Rangan Gupta & Christian Pierdzioch, 2021. "Predictability of Tail Risks of Canada and the U.S. Over a Century: The Role of Spillovers and Oil Tail Risks," Working Papers 202127, University of Pretoria, Department of Economics.

  20. Rangan Gupta & Christian Pierdzioch, 2021. "Climate Risks and the Realized Volatility Oil and Gas Prices: Results of an Out-of-Sample Forecasting Experiment," Working Papers 202175, University of Pretoria, Department of Economics.

    Cited by:

    1. Theodosios Anastasios Perifanis, 2022. "The Macroeconomic Results of Diligent Resource Revenues Management: The Norwegian Case," Energies, MDPI, vol. 15(4), pages 1-14, February.
    2. Santino Del Fava & Rangan Gupta & Christian Pierdzioch & Lavinia Rognone, 2023. "Forecasting International Financial Stress: The Role of Climate Risks," Working Papers 202329, University of Pretoria, Department of Economics.
    3. Wang, Kai-Hua & Kan, Jia-Min & Qiu, Lianhong & Xu, Shulin, 2023. "Climate policy uncertainty, oil price and agricultural commodity: From quantile and time perspective," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 256-272.
    4. Çepni, Oğuzhan & Gupta, Rangan & Pienaar, Daniel & Pierdzioch, Christian, 2022. "Forecasting the realized variance of oil-price returns using machine learning: Is there a role for U.S. state-level uncertainty?," Energy Economics, Elsevier, vol. 114(C).
    5. Salisu, Afees A. & Olaniran, Abeeb & Lasisi, Lukman, 2023. "Climate risk and gold," Resources Policy, Elsevier, vol. 82(C).
    6. Guo, Kun & Liu, Fengqi & Sun, Xiaolei & Zhang, Dayong & Ji, Qiang, 2023. "Predicting natural gas futures’ volatility using climate risks," Finance Research Letters, Elsevier, vol. 55(PA).
    7. Wei, Yu & Zhang, Jiahao & Bai, Lan & Wang, Yizhi, 2023. "Connectedness among El Niño-Southern Oscillation, carbon emission allowance, crude oil and renewable energy stock markets: Time- and frequency-domain evidence based on TVP-VAR model," Renewable Energy, Elsevier, vol. 202(C), pages 289-309.

  21. Afees A. Salisu & Christian Pierdzioch & Rangan Gupta, 2021. "Oil Tail Risks and the Forecastability of the Realized Variance of Oil-Price: Evidence from Over 150 Years of Data," Working Papers 202146, University of Pretoria, Department of Economics.

    Cited by:

    1. Khan, Nasir & Saleem, Asima & Ozkan, Oktay, 2023. "Do geopolitical oil price risk influence stock market returns and volatility of Pakistan: Evidence from novel non-parametric quantile causality approach," Resources Policy, Elsevier, vol. 81(C).
    2. Qian, Lihua & Zeng, Qing & Lu, Xinjie & Ma, Feng, 2022. "Global tail risk and oil return predictability," Finance Research Letters, Elsevier, vol. 47(PB).
    3. 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).
    4. Salisu, Afees A. & Ogbonna, Ahamuefula E. & Vo, Xuan Vinh, 2023. "Oil tail risks and the realized variance of consumer prices in advanced economies," Resources Policy, Elsevier, vol. 83(C).
    5. Gupta, Rangan & Ji, Qiang & Pierdzioch, Christian & Plakandaras, Vasilios, 2023. "Forecasting the conditional distribution of realized volatility of oil price returns: The role of skewness over 1859 to 2023," Finance Research Letters, Elsevier, vol. 58(PC).

  22. Rangan Gupta & Xin Sheng & Christian Pierdzioch & Qiang Ji, 2021. "Disaggregated Oil Shocks and Stock-Market Tail Risks: Evidence from a Panel of 48 Countries," Working Papers 202106, University of Pretoria, Department of Economics.

    Cited by:

    1. Maghyereh, Aktham & Abdoh, Hussein, 2022. "Extreme dependence between structural oil shocks and stock markets in GCC countries," Resources Policy, Elsevier, vol. 76(C).
    2. Xin Sheng & Rangan Gupta & Qiang Ji, 2023. "The Effects of Disaggregate Oil Shocks on the Aggregate Expected Skewness of the United States," Risks, MDPI, vol. 11(11), pages 1-9, October.
    3. Yang, Yang & Liu, Zhen & Saydaliev, Hayot Berk & Iqbal, Sajid, 2022. "Economic impact of crude oil supply disruption on social welfare losses and strategic petroleum reserves," Resources Policy, Elsevier, vol. 77(C).
    4. Sheng, Xin & Kim, Won Joong & Gupta, Rangan & Ji, Qiang, 2023. "The impacts of oil price volatility on financial stress: Is the COVID-19 period different?," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 520-532.
    5. 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).
    6. Salisu, Afees A. & Olaniran, Abeeb & Tchankam, Jean Paul, 2022. "Oil tail risk and the tail risk of the US Dollar exchange rates," Energy Economics, Elsevier, vol. 109(C).
    7. Salisu, Afees A. & Gupta, Rangan & Pierdzioch, Christian, 2022. "Predictability of tail risks of Canada and the U.S. Over a Century: The role of spillovers and oil tail Risks☆," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    8. Afees A. Salisu & Rangan Gupta & Christian Pierdzioch, 2021. "Predictability of Tail Risks of Canada and the U.S. Over a Century: The Role of Spillovers and Oil Tail Risks," Working Papers 202127, University of Pretoria, Department of Economics.

  23. Riza Demirer & Rangan Gupta & Christian Pierdzioch & Syed Jawad Hussain Shahzad, 2020. "The Predictive Power of Oil Price Shocks on Realized Volatility of Oil: A Note," Working Papers 202044, University of Pretoria, Department of Economics.

    Cited by:

    1. Rangan Gupta & Christian Pierdzioch, 2021. "Climate Risks and the Realized Volatility Oil and Gas Prices: Results of an Out-of-Sample Forecasting Experiment," Working Papers 202175, University of Pretoria, Department of Economics.
    2. Bonato, Matteo & Çepni, Oğuzhan & Gupta, Rangan & Pierdzioch, Christian, 2021. "Do oil-price shocks predict the realized variance of U.S. REITs?," Energy Economics, Elsevier, vol. 104(C).
    3. Renee van Eyden & Rangan Gupta & Xin Sheng & Joshua Nielsen, 2023. "Predicting Multi-Scale Positive and Negative Stock Market Bubbles in a Panel of G7 Countries: The Role of Oil Price Uncertainty," Working Papers 202332, University of Pretoria, Department of Economics.
    4. Jiqian Wang & Rangan Gupta & Oğuzhan Çepni & Feng Ma, 2023. "Forecasting international REITs volatility: the role of oil-price uncertainty," The European Journal of Finance, Taylor & Francis Journals, vol. 29(14), pages 1579-1597, September.
    5. Chen, Yan & Qiao, Gaoxiu & Zhang, Feipeng, 2022. "Oil price volatility forecasting: Threshold effect from stock market volatility," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    6. Rangan Gupta & Christian Pierdzioch & Wing-Keung Wong, 2021. "A Note on Forecasting the Historical Realized Variance of Oil-Price Movements: The Role of Gold-to-Silver and Gold-to-Platinum Price Ratios," Working Papers 202158, University of Pretoria, Department of Economics.
    7. Gao Tianming & Vasilii Erokhin & Aleksandr Arskiy & Mikail Khudzhatov, 2021. "Has the COVID-19 Pandemic Affected Maritime Connectivity? An Estimation for China and the Polar Silk Road Countries," Sustainability, MDPI, vol. 13(6), pages 1-39, March.
    8. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    9. Yaojie Zhang & Mengxi He & Danyan Wen & Yudong Wang, 2022. "Forecasting Bitcoin volatility: A new insight from the threshold regression model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 633-652, April.
    10. Darko B. Vuković & Senanu Dekpo-Adza & Vladislav Khmelnitskiy & Mustafa Özer, 2023. "Spillovers across the Asian OPEC+ Financial Market," Mathematics, MDPI, vol. 11(18), pages 1-23, September.
    11. Ali, Muhammad Kashif & Zahoor, Muhammad Khurram & Saeed, Asif & Nosheen, Safia & Thanakijsombat, Thanarerk, 2023. "Institutional and country level determinants of vertical integration: New evidence from the oil and gas industry," Resources Policy, Elsevier, vol. 84(C).
    12. Wu, Jie & Zhao, Ruizeng & Sun, Jiasen & Zhou, Xuewei, 2023. "Impact of geopolitical risks on oil price fluctuations: Based on GARCH-MIDAS model," Resources Policy, Elsevier, vol. 85(PB).
    13. 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.
    14. Guliyev, Hasraddin & Mustafayev, Eldayag, 2022. "Predicting the changes in the WTI crude oil price dynamics using machine learning models," Resources Policy, Elsevier, vol. 77(C).
    15. Afees A. Salisu & Rangan Gupta & Riza Demirer, 2021. "The Effect of Oil Price Uncertainty Shock on International Equity Markets: Evidence from a GVAR Model," Working Papers 202160, University of Pretoria, Department of Economics.
    16. Kuang, Wei, 2022. "The economic value of high-frequency data in equity-oil hedge," Energy, Elsevier, vol. 239(PA).
    17. Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting the Volatility of Crude Oil: The Role of Uncertainty and Spillovers," Energies, MDPI, vol. 14(14), pages 1-15, July.
    18. Apostolos G. Christopoulos & Petros Kalantonis & Ioannis Katsampoxakis & Konstantinos Vergos, 2021. "COVID-19 and the Energy Price Volatility," Energies, MDPI, vol. 14(20), pages 1-15, October.
    19. Taicir Mezghani & Mouna Boujelbène Abbes, 2023. "Forecast the Role of GCC Financial Stress on Oil Market and GCC Financial Markets Using Convolutional Neural Networks," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(3), pages 505-530, September.
    20. Liang, Xuedong & Luo, Peng & Li, Xiaoyan & Wang, Xia & Shu, Lingli, 2023. "Crude oil price prediction using deep reinforcement learning," Resources Policy, Elsevier, vol. 81(C).
    21. Alola, Andrew A. & Adekoya, Oluwasegun B. & Oliyide, Johnson A., 2022. "Outlook of oil prices and volatility from 1970 to 2040 through global energy mix-security from production to reserves: A nonparametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 79(C).
    22. Çepni, Oğuzhan & Gupta, Rangan & Pienaar, Daniel & Pierdzioch, Christian, 2022. "Forecasting the realized variance of oil-price returns using machine learning: Is there a role for U.S. state-level uncertainty?," Energy Economics, Elsevier, vol. 114(C).
    23. Elie Bouri & Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2020. "Infectious Diseases, Market Uncertainty and Oil Market Volatility," Energies, MDPI, vol. 13(16), pages 1-8, August.
    24. Gupta, Rangan & Ji, Qiang & Pierdzioch, Christian & Plakandaras, Vasilios, 2023. "Forecasting the conditional distribution of realized volatility of oil price returns: The role of skewness over 1859 to 2023," Finance Research Letters, Elsevier, vol. 58(PC).
    25. Mhd Ruslan, Siti Marsila & Mokhtar, Kasypi, 2021. "Stock market volatility on shipping stock prices: GARCH models approach," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).

  24. Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2020. "Forecasting Realized Stock-Market Volatility: Do Industry Returns have Predictive Value?," Working Papers 2020107, University of Pretoria, Department of Economics.

    Cited by:

    1. Jiawen Luo & Oguzhan Cepni & Riza Demirer & Rangan Gupta, 2022. "Forecasting Multivariate Volatilities with Exogenous Predictors: An Application to Industry Diversification Strategies," Working Papers 202258, University of Pretoria, Department of Economics.

  25. Elie Bouri & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020. "Forecasting Realized Volatility of Bitcoin: The Role of the Trade War," Working Papers 202003, University of Pretoria, Department of Economics.

    Cited by:

    1. Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2021. "Investor Confidence and Forecastability of US Stock Market Realized Volatility : Evidence from Machine Learning," Working Papers 202118, University of Pretoria, Department of Economics.
    2. Sapkota, Niranjan, 2022. "News-based sentiment and bitcoin volatility," International Review of Financial Analysis, Elsevier, vol. 82(C).
    3. Lei Wang & Provash Kumer Sarker & Elie Bouri, 2023. "Short- and Long-Term Interactions Between Bitcoin and Economic Variables: Evidence from the US," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1305-1330, April.
    4. Rangan Gupta & Jacobus Nel & Joshua Nielsen & Christian Pierdzioch, 2023. "Stock Market Volatility and Multi-Scale Positive and Negative Bubbles," Working Papers 202310, University of Pretoria, Department of Economics.
    5. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2022. "Uncertainty and forecastability of regional output growth in the UK: Evidence from machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1049-1064, September.
    6. Vasu Kalariya & Pushpendra Parmar & Patel Jay & Sudeep Tanwar & Maria Simona Raboaca & Fayez Alqahtani & Amr Tolba & Bogdan-Constantin Neagu, 2022. "Stochastic Neural Networks-Based Algorithmic Trading for the Cryptocurrency Market," Mathematics, MDPI, vol. 10(9), pages 1-15, April.
    7. Kuo-Shing Chen & Yu-Chuan Huang, 2021. "Detecting Jump Risk and Jump-Diffusion Model for Bitcoin Options Pricing and Hedging," Mathematics, MDPI, vol. 9(20), pages 1-24, October.
    8. Fahad Mostafa & Pritam Saha & Mohammad Rafiqul Islam & Nguyet Nguyen, 2021. "GJR-GARCH Volatility Modeling under NIG and ANN for Predicting Top Cryptocurrencies," JRFM, MDPI, vol. 14(9), pages 1-22, September.
    9. Konstantinos Gkillas & Elie Bouri & Rangan Gupta & David Roubaud, 2020. "Spillovers in Higher-Order Moments of Crude Oil, Gold, and Bitcoin," Working Papers 202068, University of Pretoria, Department of Economics.
    10. Periklis Gogas & Theophilos Papadimitriou, 2021. "Machine Learning in Economics and Finance," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 1-4, January.
    11. Weige Huang & Xiang Gao, 2023. "Forecasting Bitcoin Futures: A Lasso-BMA Two-Step Predictor Selection for Investment and Hedging Strategies," SAGE Open, , vol. 13(1), pages 21582440231, January.
    12. Muhammad Ikhlas Rosele & Abdul Muneem & Azizi Bin Che Seman & Luqman Bin Haji Abdullah & Noor Naemah Binti Abdul Rahman & Mohd Edil Bin Abd Sukor & Abdul Karim Bin Ali, 2022. "The Concept of Wealth (mÄ l) in the SharÄ«Ê¿ah and Its Relation to Digital Assets," SAGE Open, , vol. 12(2), pages 21582440221, June.
    13. Jiqian Wang & Feng Ma & Elie Bouri & Yangli Guo, 2023. "Which factors drive Bitcoin volatility: Macroeconomic, technical, or both?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 970-988, July.
    14. Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2020. "Forecasting Realized Stock-Market Volatility: Do Industry Returns have Predictive Value?," Working Papers 2020107, University of Pretoria, Department of Economics.
    15. Arthur Jin Lin, 2023. "Volatility Contagion from Bulk Shipping and Petrochemical Industries to Oil Futures Market during the Economic Uncertainty," Mathematics, MDPI, vol. 11(17), pages 1-19, August.

  26. Riza Demirer & Rangan Gupta & Christian Pierdzioch & Syed Jawad Hussain Shahzad, 2020. "A Note on Oil Price Shocks and the Forecastability of Gold Realized Volatility," Working Papers 202010, University of Pretoria, Department of Economics.

    Cited by:

    1. Maghyereh, Aktham & Abdoh, Hussein, 2022. "Extreme dependence between structural oil shocks and stock markets in GCC countries," Resources Policy, Elsevier, vol. 76(C).
    2. Afees A. Salisu & Rangan Gupta & Sayar Karmakar & Sonali Das, 2021. "Forecasting Output Growth of Advanced Economies Over Eight Centuries: The Role of Gold Market Volatility as a Proxy of Global Uncertainty," Working Papers 202133, University of Pretoria, Department of Economics.
    3. Bonato, Matteo & Çepni, Oğuzhan & Gupta, Rangan & Pierdzioch, Christian, 2021. "Do oil-price shocks predict the realized variance of U.S. REITs?," Energy Economics, Elsevier, vol. 104(C).
    4. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).

  27. Mehmet Balcilar & Edmond Berisha & Rangan Gupta & Christian Pierdzioch, 2020. "Time-Varying Evidence of Predictability of Financial Stress in the United States over a Century: The Role of Inequality," Working Papers 202054, University of Pretoria, Department of Economics.

    Cited by:

    1. Huynh, Cong Minh & Tran, Hoai Nam, 2022. "Financial development, income inequality and institutional quality: A multi-dimensional analysis," MPRA Paper 112829, University Library of Munich, Germany.
    2. Chevaughn van der Westhuizen & Renee van Eyden & Goodness C. Aye, 2022. "Is Inflation Uncertainty a Self-Fulfilling Prophecy? The Inflation-Inflation Uncertainty Nexus and Inflation Targeting in South Africa," Working Papers 202254, University of Pretoria, Department of Economics.
    3. Cepni, Oguzhan & Emirmahmutoglu, Furkan & Guney, Ibrahim Ethem & Yilmaz, Muhammed Hasan, 2023. "Do the carry trades respond to geopolitical risks? Evidence from BRICS countries," Economic Systems, Elsevier, vol. 47(2).

  28. Matteo Bonato & Rangan Gupta & Christian Pierdzioch, 2020. "Do Oil-Price Shocks Predict the Realized Variance of U.S. REITs?," Working Papers 2020100, University of Pretoria, Department of Economics.

    Cited by:

    1. Maghyereh, Aktham & Abdoh, Hussein, 2022. "Extreme dependence between structural oil shocks and stock markets in GCC countries," Resources Policy, Elsevier, vol. 76(C).
    2. Afees A. Salisu & Rangan Gupta & Elie Bouri, 2022. "Testing the Forecasting Power of Global Economic Conditions for the Volatility of International REITs using a GARCH-MIDAS Approach," Working Papers 202211, University of Pretoria, Department of Economics.
    3. Walid Mensi & Zhuhua Jiang & Xuan Vinh Vo & Seong‐Min Yoon, 2023. "Asymmetric volatility transmission and hedging strategies among REIT, stock, and oil markets," Australian Economic Papers, Wiley Blackwell, vol. 62(4), pages 597-615, December.
    4. Mensi, Walid & Nekhili, Ramzi & Kang, Sang Hoon, 2022. "Quantile connectedness and spillovers analysis between oil and international REIT markets," Finance Research Letters, Elsevier, vol. 48(C).
    5. 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.
    6. Mensi, Walid & Reboredo, Juan C. & Ugolini, Andrea & Vo, Xuan Vinh, 2022. "Switching connectedness between real estate investment trusts, oil, and gold markets," Finance Research Letters, Elsevier, vol. 49(C).

  29. Foltas, Alexander & Pierdzioch, Christian, 2020. "Business-cycle reports and the efficiency of macroeconomic forecasts for Germany," Working Papers 22, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.

    Cited by:

    1. Pierdzioch, Christian, 2023. "A bootstrap-based efficiency test of growth and inflation forecasts for Germany," Economics Letters, Elsevier, vol. 224(C).
    2. Foltas, Alexander, 2023. "Quantifying priorities in business cycle reports: Analysis of recurring textual patterns around peaks and troughs," Working Papers 44, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.

  30. Matteo Bonato & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020. "Investor Happiness and Predictability of the Realized Volatility of Oil Price," Working Papers 202009, University of Pretoria, Department of Economics.

    Cited by:

    1. Sapkota, Niranjan, 2022. "News-based sentiment and bitcoin volatility," International Review of Financial Analysis, Elsevier, vol. 82(C).
    2. Rangan Gupta & Christian Pierdzioch, 2021. "Climate Risks and the Realized Volatility Oil and Gas Prices: Results of an Out-of-Sample Forecasting Experiment," Working Papers 202175, University of Pretoria, Department of Economics.
    3. Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2020. "Forecasting Oil Volatility Using a GARCH-MIDAS Approach: The Role of Global Economic Conditions," Working Papers 202051, University of Pretoria, Department of Economics.
    4. Afees A. Salisu & Rangan Gupta & Riza Demirer, 2021. "Global Financial Cycle and the Predictability of Oil Market Volatility: Evidence from a GARCH-MIDAS Model," Working Papers 202121, University of Pretoria, Department of Economics.
    5. Sheng, Xin & Kim, Won Joong & Gupta, Rangan & Ji, Qiang, 2023. "The impacts of oil price volatility on financial stress: Is the COVID-19 period different?," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 520-532.
    6. Sami Ben Jabeur & Rabeh Khalfaoui & Wissal Ben Arfi, 2021. "The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning," Post-Print hal-03797577, HAL.
    7. Demirer, Riza & Gupta, Rangan & Pierdzioch, Christian & Shahzad, Syed Jawad Hussain, 2020. "The predictive power of oil price shocks on realized volatility of oil: A note," Resources Policy, Elsevier, vol. 69(C).
    8. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    9. Yaojie Zhang & Mengxi He & Danyan Wen & Yudong Wang, 2022. "Forecasting Bitcoin volatility: A new insight from the threshold regression model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 633-652, April.
    10. Yan, Juan & Haroon, Muhammad, 2023. "Financing efficiency in natural resource markets mobilizing private and public capital for a green recovery," Resources Policy, Elsevier, vol. 85(PB).
    11. 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.
    12. Guliyev, Hasraddin & Mustafayev, Eldayag, 2022. "Predicting the changes in the WTI crude oil price dynamics using machine learning models," Resources Policy, Elsevier, vol. 77(C).
    13. Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2022. "Mixed‐frequency forecasting of crude oil volatility based on the information content of global economic conditions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 134-157, January.
    14. Kuang, Wei, 2022. "The economic value of high-frequency data in equity-oil hedge," Energy, Elsevier, vol. 239(PA).
    15. Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting the Volatility of Crude Oil: The Role of Uncertainty and Spillovers," Energies, MDPI, vol. 14(14), pages 1-15, July.
    16. Çepni, Oğuzhan & Gupta, Rangan & Pienaar, Daniel & Pierdzioch, Christian, 2022. "Forecasting the realized variance of oil-price returns using machine learning: Is there a role for U.S. state-level uncertainty?," Energy Economics, Elsevier, vol. 114(C).
    17. Elie Bouri & Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2020. "Infectious Diseases, Market Uncertainty and Oil Market Volatility," Energies, MDPI, vol. 13(16), pages 1-8, August.

  31. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch & Seong-Min Yoon, 2020. "OPEC News and Jumps in the Oil Market," Working Papers 202053, University of Pretoria, Department of Economics.

    Cited by:

    1. Tong, Yuan & Wan, Ning & Dai, Xingyu & Bi, Xiaoyi & Wang, Qunwei, 2022. "China's energy stock market jumps: To what extent does the COVID-19 pandemic play a part?," Energy Economics, Elsevier, vol. 109(C).
    2. Wang, Cheng & Bouri, Elie & Xu, Yahua & Zhang, Dingsheng, 2023. "Intraday and overnight tail risks and return predictability in the crude oil market: Evidence from oil-related regular news and extreme shocks," Energy Economics, Elsevier, vol. 127(PB).
    3. Rangan Gupta & Jacobus Nel & Joshua Nielsen & Christian Pierdzioch, 2023. "Stock Market Volatility and Multi-Scale Positive and Negative Bubbles," Working Papers 202310, University of Pretoria, Department of Economics.
    4. Zhang, Yuan-Yuan & Zhang, Yue-Jun, 2022. "The impact of institutional analyst forecast divergence on crude oil market: Evidence from the mixed frequency models," International Review of Financial Analysis, Elsevier, vol. 84(C).
    5. Riza Demirer & David Gabauer & Rangan Gupta & Joshua Nielsen, 2023. "Gold-to-Platinum Price Ratio and the Predictability of Bubbles in Financial Markets," Working Papers 202317, University of Pretoria, Department of Economics.
    6. Fiszeder, Piotr & Fałdziński, Marcin & Molnár, Peter, 2023. "Attention to oil prices and its impact on the oil, gold and stock markets and their covariance," Energy Economics, Elsevier, vol. 120(C).

  32. Syed Jawad Hussain Shahzad & Rangan Gupta & Riza Demirer & Christian Pierdzioch, 2020. "Oil-Shocks and Directional Predictability of Macroeconomic Uncertainties of Developed Economies: Evidence from High-Frequency Data," Working Papers 202031, University of Pretoria, Department of Economics.

    Cited by:

    1. Ngo Thai Hung & Vo Xuan Vinh, 2023. "Asymmetric impact of the COVID-19 pandemic on foreign exchange markets: Evidence from an extreme quantile approach," Economics and Business Letters, Oviedo University Press, vol. 12(1), pages 20-32.

  33. Matteo Bonato & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020. "A Note on Investor Happiness and the Predictability of Realized Volatility of Gold," Working Papers 202004, University of Pretoria, Department of Economics.

    Cited by:

    1. Bouri, Elie & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2021. "Forecasting power of infectious diseases-related uncertainty for gold realized variance," Finance Research Letters, Elsevier, vol. 42(C).
    2. Afees A. Salisu & Rangan Gupta & Sayar Karmakar & Sonali Das, 2021. "Forecasting Output Growth of Advanced Economies Over Eight Centuries: The Role of Gold Market Volatility as a Proxy of Global Uncertainty," Working Papers 202133, University of Pretoria, Department of Economics.
    3. Sapkota, Niranjan, 2022. "News-based sentiment and bitcoin volatility," International Review of Financial Analysis, Elsevier, vol. 82(C).
    4. Rangan Gupta & Christian Pierdzioch, 2021. "Climate Risks and the Realized Volatility Oil and Gas Prices: Results of an Out-of-Sample Forecasting Experiment," Working Papers 202175, University of Pretoria, Department of Economics.
    5. Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2020. "Forecasting Oil Volatility Using a GARCH-MIDAS Approach: The Role of Global Economic Conditions," Working Papers 202051, University of Pretoria, Department of Economics.
    6. Afees A. Salisu & Rangan Gupta & Riza Demirer, 2021. "Global Financial Cycle and the Predictability of Oil Market Volatility: Evidence from a GARCH-MIDAS Model," Working Papers 202121, University of Pretoria, Department of Economics.
    7. Sheng, Xin & Kim, Won Joong & Gupta, Rangan & Ji, Qiang, 2023. "The impacts of oil price volatility on financial stress: Is the COVID-19 period different?," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 520-532.
    8. Sami Ben Jabeur & Rabeh Khalfaoui & Wissal Ben Arfi, 2021. "The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning," Post-Print hal-03797577, HAL.
    9. Li, Sufang & Xu, Qiufan & Lv, Yixue & Yuan, Di, 2022. "Public attention, oil and gold markets during the COVID-19: Evidence from time-frequency analysis," Resources Policy, Elsevier, vol. 78(C).
    10. Demirer, Riza & Gupta, Rangan & Pierdzioch, Christian & Shahzad, Syed Jawad Hussain, 2020. "The predictive power of oil price shocks on realized volatility of oil: A note," Resources Policy, Elsevier, vol. 69(C).
    11. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    12. Gupta, Rangan & Pierdzioch, Christian, 2022. "Climate risks and forecastability of the realized volatility of gold and other metal prices," Resources Policy, Elsevier, vol. 77(C).
    13. Văn, Lê & Bảo, Nguyễn Khắc Quốc, 2022. "The relationship between global stock and precious metals under Covid-19 and happiness perspectives," Resources Policy, Elsevier, vol. 77(C).
    14. Yan, Juan & Haroon, Muhammad, 2023. "Financing efficiency in natural resource markets mobilizing private and public capital for a green recovery," Resources Policy, Elsevier, vol. 85(PB).
    15. 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.
    16. Xolani Sibande & Rangan Gupta & Riza Demirer & Elie Bouri, 2023. "Investor Sentiment and (Anti) Herding in the Currency Market: Evidence from Twitter Feed Data," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 24(1), pages 56-72, January.
    17. Guliyev, Hasraddin & Mustafayev, Eldayag, 2022. "Predicting the changes in the WTI crude oil price dynamics using machine learning models," Resources Policy, Elsevier, vol. 77(C).
    18. Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2022. "Mixed‐frequency forecasting of crude oil volatility based on the information content of global economic conditions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 134-157, January.
    19. Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting the Volatility of Crude Oil: The Role of Uncertainty and Spillovers," Energies, MDPI, vol. 14(14), pages 1-15, July.
    20. Çepni, Oğuzhan & Gupta, Rangan & Pienaar, Daniel & Pierdzioch, Christian, 2022. "Forecasting the realized variance of oil-price returns using machine learning: Is there a role for U.S. state-level uncertainty?," Energy Economics, Elsevier, vol. 114(C).
    21. Elie Bouri & Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2020. "Infectious Diseases, Market Uncertainty and Oil Market Volatility," Energies, MDPI, vol. 13(16), pages 1-8, August.
    22. Liu, Min & Lee, Chien-Chiang, 2021. "Capturing the dynamics of the China crude oil futures: Markov switching, co-movement, and volatility forecasting," Energy Economics, Elsevier, vol. 103(C).
    23. Chu, Xiaojun & Wan, Xinmin & Qiu, Jianying, 2023. "The relative importance of overnight sentiment versus trading-hour sentiment in volatility forecasting," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).

  34. Elie Bouri & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020. "Forecasting Power of Infectious Diseases-Related Uncertainty for Gold Realized Volatility," Working Papers 202049, University of Pretoria, Department of Economics.

    Cited by:

    1. Salisu, Afees A. & Pierdzioch, Christian & Gupta, Rangan, 2022. "Oil tail risks and the forecastability of the realized variance of oil-price: Evidence from over 150 years of data," Finance Research Letters, Elsevier, vol. 46(PB).
    2. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    3. Celso-Arellano, Pedro & Gualajara, Victor & Coronado, Semei & Martinez, Jose N. & Venegas-Martínez, Francisco, 2023. "Impact of the global fear index (covid-19 panic) on the S&P global indices associated with natural resources, agribusiness, energy, metals and mining: Granger Causality and Shannon and Rényi Transfer ," MPRA Paper 117138, University Library of Munich, Germany, revised 06 Feb 2023.
    4. Çepni, Oğuzhan & Gupta, Rangan & Pienaar, Daniel & Pierdzioch, Christian, 2022. "Forecasting the realized variance of oil-price returns using machine learning: Is there a role for U.S. state-level uncertainty?," Energy Economics, Elsevier, vol. 114(C).

  35. Rangan Gupta & Hardik A. Marfatia & Christian Pierdzioch & Afees A. Salisu, 2020. "Machine Learning Predictions of Housing Market Synchronization across US States: The Role of Uncertainty," Working Papers 202077, University of Pretoria, Department of Economics.

    Cited by:

    1. Renee van Eyden & Rangan Gupta & Christophe Andre & Xin Sheng, 2021. "The Effect of Macroeconomic Uncertainty on Housing Returns and Volatility: Evidence from US State-Level Data," Working Papers 202131, University of Pretoria, Department of Economics.

  36. Rangan Gupta & Christian Pierdzioch & Afees A. Salisu, 2020. "Oil-Price Uncertainty and the U.K. Unemployment Rate: A Forecasting Experiment with Random Forests Using 150 Years of Data," Working Papers 202095, University of Pretoria, Department of Economics.

    Cited by:

    1. Christophe Andre & Petre Caraiani & Rangan Gupta, 2023. "Fiscal Policy and Stock Markets at the Effective Lower Bound," Working Papers 202309, University of Pretoria, Department of Economics.
    2. Urmat Dzhunkeev, 2022. "Forecasting Unemployment in Russia Using Machine Learning Methods," Russian Journal of Money and Finance, Bank of Russia, vol. 81(1), pages 73-87, March.
    3. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2021. "Uncertainty and Forecastability of Regional Output Growth in the United Kingdom: Evidence from Machine Learning," Working Papers 202111, University of Pretoria, Department of Economics.
    4. Sen, Doruk & Hamurcuoglu, K. Irem & Ersoy, Melisa Z. & Tunç, K.M. Murat & Günay, M. Erdem, 2023. "Forecasting long-term world annual natural gas production by machine learning," Resources Policy, Elsevier, vol. 80(C).
    5. Ahmed, M. Iqbal & Farah, Quazi Fidia & Kishan, Ruby P., 2023. "Oil price uncertainty and unemployment dynamics: Nonlinearities matter," Energy Economics, Elsevier, vol. 125(C).

  37. Riza Demirer & Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2020. "Effect of Rare Disaster Risks on Crude Oil: Evidence from El Nino from Over 140 Years of Data," Working Papers 2020104, University of Pretoria, Department of Economics.

    Cited by:

    1. Hong, Yanran & Yu, Jize & Su, Yuquan & Wang, Lu, 2023. "Southern oscillation: Great value of its trends for forecasting crude oil spot price volatility," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 358-368.
    2. Renee van Eyden & Rangan Gupta & Jacobus Nel & Elie Bouri, 2021. "Rare Disaster Risks and Volatility of the Term-Structure of US Treasury Securities: The Role of El Nino and La Nina Events," Working Papers 202155, University of Pretoria, Department of Economics.

  38. Oguzhan Cepni & Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2019. "Time-Varying Risk Aversion and the Predictability of Bond Premia," Working Papers 201906, University of Pretoria, Department of Economics.

    Cited by:

    1. Dai, Zhifeng & Chang, Xiaoming, 2021. "Forecasting stock market volatility: Can the risk aversion measure exert an important role?," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    2. Dai, Zhifeng & Kang, Jie, 2021. "Bond yield and crude oil prices predictability," Energy Economics, Elsevier, vol. 97(C).
    3. Bouri, Elie & Gupta, Rangan & Majumdar, Anandamayee & Subramaniam, Sowmya, 2021. "Time-varying risk aversion and forecastability of the US term structure of interest rates," Finance Research Letters, Elsevier, vol. 42(C).
    4. Oguzhan Cepni & Rangan Gupta & I. Ethem Guney & M. Hasan Yilmaz, 2019. "Forecasting Local Currency Bond Risk Premia of Emerging Markets: The Role of Cross-Country Macro-Financial Linkages," Working Papers 201957, University of Pretoria, Department of Economics.
    5. Bouri, Elie & Demirer, Riza & Gupta, Rangan & Wohar, Mark E., 2021. "Gold, platinum and the predictability of bond risk premia," Finance Research Letters, Elsevier, vol. 38(C).
    6. Çepni, Oğuzhan & Guney, I. Ethem & Gupta, Rangan & Wohar, Mark E., 2020. "The role of an aligned investor sentiment index in predicting bond risk premia of the U.S," Journal of Financial Markets, Elsevier, vol. 51(C).
    7. Balcilar, Mehmet & Gupta, Rangan & Wang, Shixuan & Wohar, Mark E., 2020. "Oil price uncertainty and movements in the US government bond risk premia," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    8. Wu, Xinyu & Xie, Haibin & Zhang, Huanming, 2022. "Time-varying risk aversion and renminbi exchange rate volatility: Evidence from CARR-MIDAS model," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).

  39. 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.

    Cited by:

    1. Matteo Bonato & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020. "Investor Happiness and Predictability of the Realized Volatility of Oil Price," Working Papers 202009, University of Pretoria, Department of Economics.
    2. Yan, Xiang & Bai, Jiancheng & Li, Xiafei & Chen, Zhonglu, 2022. "Can dimensional reduction technology make better use of the information of uncertainty indices when predicting volatility of Chinese crude oil futures?," Resources Policy, Elsevier, vol. 75(C).
    3. Asai, Manabu & Gupta, Rangan & McAleer, Michael, 2020. "Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks," International Journal of Forecasting, Elsevier, vol. 36(3), pages 933-948.
    4. Claudiu Tiberiu Albulescu, 2020. "Coronavirus and oil price crash," Working Papers hal-02507184, HAL.
    5. Christos Floros & Konstantinos Gkillas & Christoforos Konstantatos & Athanasios Tsagkanos, 2020. "Realized Measures to Explain Volatility Changes over Time," JRFM, MDPI, vol. 13(6), pages 1-19, June.
    6. Salisu, Afees A. & Pierdzioch, Christian & Gupta, Rangan, 2022. "Oil tail risks and the forecastability of the realized variance of oil-price: Evidence from over 150 years of data," Finance Research Letters, Elsevier, vol. 46(PB).
    7. Rangan Gupta & Yuvana Jaichand & Christian Pierdzioch & Reneé van Eyden, 2023. "Realized Stock-Market Volatility of the United States and the Presidential Approval Rating," Mathematics, MDPI, vol. 11(13), pages 1-27, July.
    8. Rangan Gupta & Christian Pierdzioch, 2021. "Climate Risks and the Realized Volatility Oil and Gas Prices: Results of an Out-of-Sample Forecasting Experiment," Working Papers 202175, University of Pretoria, Department of Economics.
    9. Oumayma GHARBI & Yousra TRICHILI & Mouna BOUJELBENE ABBES, 2022. "Impact of the COVID-19 pandemic on the relationship between uncertainty factors, investor’s behavioral biases and the stock market reaction of US Fintech companies," Journal of Academic Finance, RED research unit, university of Gabes, Tunisia, vol. 13(1), pages 101-122, June.
    10. Riza Demirer & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2022. "Risk aversion and the predictability of crude oil market volatility: A forecasting experiment with random forests," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(8), pages 1755-1767, August.
    11. Hong, Yanran & Li, Pan & Wang, Lu & Zhang, Yaojie, 2023. "New evidence of extreme risk transmission between financial stress and international crude oil markets," Research in International Business and Finance, Elsevier, vol. 64(C).
    12. Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2020. "Forecasting Oil Volatility Using a GARCH-MIDAS Approach: The Role of Global Economic Conditions," Working Papers 202051, University of Pretoria, Department of Economics.
    13. Gkillas, Konstantinos & Konstantatos, Christoforos & Floros, Christos & Tsagkanos, Athanasios, 2021. "Realized volatility spillovers between US spot and futures during ECB news: Evidence from the European sovereign debt crisis," International Review of Financial Analysis, Elsevier, vol. 74(C).
    14. Cao, Yanyan & Xiang, Shihui, 2023. "Natural resources volatility and causal associations for BRICS countries: Evidence from Covid-19 data," Resources Policy, Elsevier, vol. 80(C).
    15. O-Chia Chuang & Chenxu Yang, 2022. "Identifying the Determinants of Crude Oil Market Volatility by the Multivariate GARCH-MIDAS Model," Energies, MDPI, vol. 15(8), pages 1-14, April.
    16. Afees A. Salisu & Rangan Gupta & Riza Demirer, 2021. "Global Financial Cycle and the Predictability of Oil Market Volatility: Evidence from a GARCH-MIDAS Model," Working Papers 202121, University of Pretoria, Department of Economics.
    17. Sheng, Xin & Kim, Won Joong & Gupta, Rangan & Ji, Qiang, 2023. "The impacts of oil price volatility on financial stress: Is the COVID-19 period different?," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 520-532.
    18. Riza Demirer & Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2020. "Effect of Rare Disaster Risks on Crude Oil: Evidence from El Nino from Over 140 Years of Data," Working Papers 2020104, University of Pretoria, Department of Economics.
    19. Ding, Qian & Huang, Jianbai & Zhang, Hongwei, 2021. "The time-varying effects of financial and geopolitical uncertainties on commodity market dynamics: A TVP-SVAR-SV analysis," Resources Policy, Elsevier, vol. 72(C).
    20. He, Huizi & Sun, Mei & Li, Xiuming & Mensah, Isaac Adjei, 2022. "A novel crude oil price trend prediction method: Machine learning classification algorithm based on multi-modal data features," Energy, Elsevier, vol. 244(PA).
    21. Rangan Gupta & Christian Pierdzioch & Wing-Keung Wong, 2021. "A Note on Forecasting the Historical Realized Variance of Oil-Price Movements: The Role of Gold-to-Silver and Gold-to-Platinum Price Ratios," Working Papers 202158, University of Pretoria, Department of Economics.
    22. Demirer, Riza & Gupta, Rangan & Pierdzioch, Christian & Shahzad, Syed Jawad Hussain, 2020. "The predictive power of oil price shocks on realized volatility of oil: A note," Resources Policy, Elsevier, vol. 69(C).
    23. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    24. Atri, Hanen & Kouki, Saoussen & Gallali, Mohamed imen, 2021. "The impact of COVID-19 news, panic and media coverage on the oil and gold prices: An ARDL approach," Resources Policy, Elsevier, vol. 72(C).
    25. Wen-Jie Liu & Yu-Ting Bai & Xue-Bo Jin & Ting-Li Su & Jian-Lei Kong, 2022. "Adaptive Broad Echo State Network for Nonstationary Time Series Forecasting," Mathematics, MDPI, vol. 10(17), pages 1-21, September.
    26. Chen, Jinyu & Wang, Yilin & Ren, Xiaohang, 2023. "Asymmetric effect of financial stress on China’s precious metals market: Evidence from a quantile-on-quantile regression," Research in International Business and Finance, Elsevier, vol. 64(C).
    27. Zhang, Hongwei & Wang, Peijin, 2021. "Does Bitcoin or gold react to financial stress alike? Evidence from the U.S. and China," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 629-648.
    28. Liu, Min, 2022. "The driving forces of green bond market volatility and the response of the market to the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 288-309.
    29. Dagher, Leila & Hasanov, Fakhri, 2022. "Oil Market Shocks and Financial Instability in Asian Countries," MPRA Paper 116079, University Library of Munich, Germany.
    30. Hong, Yanran & Yu, Jize & Su, Yuquan & Wang, Lu, 2023. "Southern oscillation: Great value of its trends for forecasting crude oil spot price volatility," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 358-368.
    31. Yan, Juan & Haroon, Muhammad, 2023. "Financing efficiency in natural resource markets mobilizing private and public capital for a green recovery," Resources Policy, Elsevier, vol. 85(PB).
    32. Xiao, Jihong & Wang, Yudong, 2022. "Good oil volatility, bad oil volatility, and stock return predictability," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 953-966.
    33. Guliyev, Hasraddin & Mustafayev, Eldayag, 2022. "Predicting the changes in the WTI crude oil price dynamics using machine learning models," Resources Policy, Elsevier, vol. 77(C).
    34. Awasthi, Kritika & Ahmad, Wasim & Rahman, Abdul & Phani, B.V., 2020. "When US sneezes, clichés spread: How do the commodity index funds react then?," Resources Policy, Elsevier, vol. 69(C).
    35. Ali, Mohsin & Alam, Nafis & Rizvi, Syed Aun R., 2020. "Coronavirus (COVID-19) — An epidemic or pandemic for financial markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    36. Matteo Bonato & Rangan Gupta & Chi Keung Marco Lau & Shixuan Wang, 2019. "Moments-Based Spillovers across Gold and Oil Markets," Working Papers 201966, University of Pretoria, Department of Economics.
    37. Konstantinos Gkillas & Elie Bouri & Rangan Gupta & David Roubaud, 2020. "Spillovers in Higher-Order Moments of Crude Oil, Gold, and Bitcoin," Working Papers 202068, University of Pretoria, Department of Economics.
    38. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch & Seong-Min Yoon, 2020. "OPEC News and Jumps in the Oil Market," Working Papers 202053, University of Pretoria, Department of Economics.
    39. Hong, Yanran & Wang, Lu & Liang, Chao & Umar, Muhammad, 2022. "Impact of financial instability on international crude oil volatility: New sight from a regime-switching framework," Resources Policy, Elsevier, vol. 77(C).
    40. Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2022. "Mixed‐frequency forecasting of crude oil volatility based on the information content of global economic conditions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 134-157, January.
    41. Wen, Jun & Mughal, Nafeesa & Kashif, Maryam & Jain, Vipin & Ramos Meza, Carlos Samuel & Cong, Phan The, 2022. "Volatility in natural resources prices and economic performance: Evidence from BRICS economies," Resources Policy, Elsevier, vol. 75(C).
    42. Niu, Zibo & Ma, Feng & Zhang, Hongwei, 2022. "The role of uncertainty measures in volatility forecasting of the crude oil futures market before and during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 112(C).
    43. Shahzad, Umer & Mohammed, Kamel Si & Tiwari, Sunil & Nakonieczny, Joanna & Nesterowicz, Renata, 2023. "Connectedness between geopolitical risk, financial instability indices and precious metals markets: Novel findings from Russia Ukraine conflict perspective," Resources Policy, Elsevier, vol. 80(C).
    44. Fiszeder, Piotr & Fałdziński, Marcin & Molnár, Peter, 2023. "Attention to oil prices and its impact on the oil, gold and stock markets and their covariance," Energy Economics, Elsevier, vol. 120(C).
    45. Cui, Lianbiao & Weng, Shimei & Kirikkaleli, Dervis & Bashir, Muhammad Adnan & Rjoub, Husam & Zhou, Yuanxiang, 2021. "Exploring the role of natural resources, natural gas and oil production for economic growth of China," Resources Policy, Elsevier, vol. 74(C).
    46. Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting the Volatility of Crude Oil: The Role of Uncertainty and Spillovers," Energies, MDPI, vol. 14(14), pages 1-15, July.
    47. Huang, Jionghao & Li, Ziruo & Xia, Xiaohua, 2021. "Network diffusion of international oil volatility risk in China's stock market: Quantile interconnectedness modelling and shock decomposition analysis," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1-39.
    48. Taicir Mezghani & Mouna Boujelbène Abbes, 2023. "Forecast the Role of GCC Financial Stress on Oil Market and GCC Financial Markets Using Convolutional Neural Networks," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(3), pages 505-530, September.
    49. Liang, Xuedong & Luo, Peng & Li, Xiaoyan & Wang, Xia & Shu, Lingli, 2023. "Crude oil price prediction using deep reinforcement learning," Resources Policy, Elsevier, vol. 81(C).
    50. Sha Zhu & Fujun Lai & Jie Deng & Qian Wang, 2021. "Do Mutual Funds’ Exposure to Financial Stress Predict Their Future Returns? Evidence From China," SAGE Open, , vol. 11(4), pages 21582440211, October.
    51. Apostolakis, George N. & Floros, Christos & Gkillas, Konstantinos & Wohar, Mark, 2021. "Financial stress, economic policy uncertainty, and oil price uncertainty," Energy Economics, Elsevier, vol. 104(C).
    52. Elie Bouri & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting Realized Volatility of Bitcoin: The Role of the Trade War," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 29-53, January.
    53. Alfeus, Mesias & Nikitopoulos, Christina Sklibosios, 2022. "Forecasting volatility in commodity markets with long-memory models," Journal of Commodity Markets, Elsevier, vol. 28(C).
    54. Li, Yan & Huynh, Luu Duc Toan & Xu, Yongan & Liang, Hao, 2023. "The forecast ability of a belief-based momentum indicator in full-day, daytime, and nighttime volatilities of Chinese oil futures," Energy Economics, Elsevier, vol. 127(PB).
    55. Çepni, Oğuzhan & Gupta, Rangan & Pienaar, Daniel & Pierdzioch, Christian, 2022. "Forecasting the realized variance of oil-price returns using machine learning: Is there a role for U.S. state-level uncertainty?," Energy Economics, Elsevier, vol. 114(C).
    56. Icaza, Daniel & Borge-Diez, David & Galindo, Santiago Pulla, 2022. "Analysis and proposal of energy planning and renewable energy plans in South America: Case study of Ecuador," Renewable Energy, Elsevier, vol. 182(C), pages 314-342.
    57. Degiannakis, Stavros & Filis, George, 2022. "Oil price volatility forecasts: What do investors need to know?," Journal of International Money and Finance, Elsevier, vol. 123(C).
    58. Li, Xiafei & Liang, Chao & Chen, Zhonglu & Umar, Muhammad, 2022. "Forecasting crude oil volatility with uncertainty indicators: New evidence," Energy Economics, Elsevier, vol. 108(C).
    59. Elie Bouri & Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2020. "Infectious Diseases, Market Uncertainty and Oil Market Volatility," Energies, MDPI, vol. 13(16), pages 1-8, August.
    60. Liu, Min & Lee, Chien-Chiang, 2021. "Capturing the dynamics of the China crude oil futures: Markov switching, co-movement, and volatility forecasting," Energy Economics, Elsevier, vol. 103(C).
    61. Yang, Kun & Wei, Yu & Li, Shouwei & Liu, Liang & Wang, Lei, 2021. "Global financial uncertainties and China’s crude oil futures market: Evidence from interday and intraday price dynamics," Energy Economics, Elsevier, vol. 96(C).
    62. Das, Debojyoti & Maitra, Debasish & Dutta, Anupam & Basu, Sankarshan, 2022. "Financial stress and crude oil implied volatility: New evidence from continuous wavelet transformation framework," Energy Economics, Elsevier, vol. 115(C).
    63. Gupta, Rangan & Ji, Qiang & Pierdzioch, Christian & Plakandaras, Vasilios, 2023. "Forecasting the conditional distribution of realized volatility of oil price returns: The role of skewness over 1859 to 2023," Finance Research Letters, Elsevier, vol. 58(PC).
    64. Xu, Yahua & Bouri, Elie & Saeed, Tareq & Wen, Zhuzhu, 2020. "Intraday return predictability: Evidence from commodity ETFs and their related volatility indices," Resources Policy, Elsevier, vol. 69(C).
    65. Konstantinos Gkillas & Christoforos Konstantatos & Costas Siriopoulos, 2021. "Uncertainty Due to Infectious Diseases and Stock–Bond Correlation," Econometrics, MDPI, vol. 9(2), pages 1-18, April.
    66. Danyan Wen & Mengxi He & Yaojie Zhang & Yudong Wang, 2022. "Forecasting realized volatility of Chinese stock market: A simple but efficient truncated approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 230-251, March.
    67. Li, Li & Chen, Hongyi & Xiang, Jingjie, 2023. "Oil price uncertainty, financial distress and real economic activities: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 81(C).

  40. Riza Demirer & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2019. "Risk Aversion and the Predictability of Crude Oil Market Volatility: A Forecasting Experiment with Random Forests," Working Papers 201972, University of Pretoria, Department of Economics.

    Cited by:

    1. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    2. Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting the Volatility of Crude Oil: The Role of Uncertainty and Spillovers," Energies, MDPI, vol. 14(14), pages 1-15, July.
    3. Elie Bouri & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting Realized Volatility of Bitcoin: The Role of the Trade War," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 29-53, January.
    4. Gupta, Rangan & Ji, Qiang & Pierdzioch, Christian & Plakandaras, Vasilios, 2023. "Forecasting the conditional distribution of realized volatility of oil price returns: The role of skewness over 1859 to 2023," Finance Research Letters, Elsevier, vol. 58(PC).

  41. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2019. "Forecasting Realized Gold Volatility: Is there a Role of Geopolitical Risks?," Working Papers 201943, University of Pretoria, Department of Economics.

    Cited by:

    1. Asai, Manabu & Gupta, Rangan & McAleer, Michael, 2020. "Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks," International Journal of Forecasting, Elsevier, vol. 36(3), pages 933-948.
    2. Nonejad, Nima, 2021. "Predicting equity premium using news-based economic policy uncertainty: Not all uncertainty changes are equally important," International Review of Financial Analysis, Elsevier, vol. 77(C).
    3. Bouri, Elie & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2021. "Forecasting power of infectious diseases-related uncertainty for gold realized variance," Finance Research Letters, Elsevier, vol. 42(C).
    4. Christos Floros & Konstantinos Gkillas & Christoforos Konstantatos & Athanasios Tsagkanos, 2020. "Realized Measures to Explain Volatility Changes over Time," JRFM, MDPI, vol. 13(6), pages 1-19, June.
    5. Afees A. Salisu & Rangan Gupta & Sayar Karmakar & Sonali Das, 2021. "Forecasting Output Growth of Advanced Economies Over Eight Centuries: The Role of Gold Market Volatility as a Proxy of Global Uncertainty," Working Papers 202133, University of Pretoria, Department of Economics.
    6. 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.
    7. Li, Yingli & Huang, Jianbai & Chen, Jinyu, 2021. "Dynamic spillovers of geopolitical risks and gold prices: New evidence from 18 emerging economies," Resources Policy, Elsevier, vol. 70(C).
    8. Faheem Aslam & Paulo Ferreira & Haider Ali & Ana Ercília José, 2022. "Application of Multifractal Analysis in Estimating the Reaction of Energy Markets to Geopolitical Acts and Threats," Sustainability, MDPI, vol. 14(10), pages 1-23, May.
    9. Shahbaz, Muhammad & Khan, Asad ul Islam & Mubarak, Muhammad Shujaat, 2023. "Roling-window bounds testing approach to analyze the relationship between oil prices and metal prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 388-395.
    10. Li, Xiafei & Liao, Yin & Lu, Xinjie & Ma, Feng, 2022. "An oil futures volatility forecast perspective on the selection of high-frequency jump tests," Energy Economics, Elsevier, vol. 116(C).
    11. Będowska-Sójka, Barbara & Demir, Ender & Zaremba, Adam, 2022. "Hedging Geopolitical Risks with Different Asset Classes: A Focus on the Russian Invasion of Ukraine," Finance Research Letters, Elsevier, vol. 50(C).
    12. 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.
    13. Bonato, Matteo & Çepni, Oğuzhan & Gupta, Rangan & Pierdzioch, Christian, 2021. "Do oil-price shocks predict the realized variance of U.S. REITs?," Energy Economics, Elsevier, vol. 104(C).
    14. Sisa Shiba & Goodness C. Aye & Rangan Gupta & Samrat Goswami, 2022. "Forecastability of Agricultural Commodity Futures Realised Volatility with Daily Infectious Disease-Related Uncertainty," JRFM, MDPI, vol. 15(11), pages 1-15, November.
    15. Afees A. Salisu & Rangan Gupta & Ahamuefula E. Ogbonna, 2022. "A moving average heterogeneous autoregressive model for forecasting the realized volatility of the US stock market: Evidence from over a century of data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 384-400, January.
    16. Kamal, Javed Bin & Wohar, Mark & Kamal, Khaled Bin, 2022. "Do gold, oil, equities, and currencies hedge economic policy uncertainty and geopolitical risks during covid crisis?," Resources Policy, Elsevier, vol. 78(C).
    17. Bonato, Matteo & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2021. "A note on investor happiness and the predictability of realized volatility of gold," Finance Research Letters, Elsevier, vol. 39(C).
    18. Li, Songsong & Zhang, Weiqian & Zhang, Wei, 2023. "Dynamic time-frequency connectedness and risk spillover between geopolitical risks and natural resources," Resources Policy, Elsevier, vol. 82(C).
    19. Rangan Gupta & Christian Pierdzioch & Wing-Keung Wong, 2021. "A Note on Forecasting the Historical Realized Variance of Oil-Price Movements: The Role of Gold-to-Silver and Gold-to-Platinum Price Ratios," Working Papers 202158, University of Pretoria, Department of Economics.
    20. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    21. Gupta, Rangan & Pierdzioch, Christian, 2022. "Climate risks and forecastability of the realized volatility of gold and other metal prices," Resources Policy, Elsevier, vol. 77(C).
    22. Chen, Wang & Lu, Xinjie & Wang, Jiqian, 2022. "Modeling and managing stock market volatility using MRS-MIDAS model," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 625-635.
    23. Nonejad, Nima, 2022. "Predicting equity premium out-of-sample by conditioning on newspaper-based uncertainty measures: A comparative study," International Review of Financial Analysis, Elsevier, vol. 83(C).
    24. Theophilus Teye Osah & Andre Varella Mollick, 2023. "Stock and oil price returns in international markets: Identifying short and long-run effects," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(1), pages 116-141, March.
    25. Văn, Lê & Bảo, Nguyễn Khắc Quốc, 2022. "The relationship between global stock and precious metals under Covid-19 and happiness perspectives," Resources Policy, Elsevier, vol. 77(C).
    26. Phan, Dinh Hoang Bach & Tran, Vuong Thao & Iyke, Bernard Njindan, 2022. "Geopolitical risk and bank stability," Finance Research Letters, Elsevier, vol. 46(PB).
    27. Aysan, Ahmet Faruk & Polat, Ali Yavuz & Tekin, Hasan & Tunalı, Ahmet Semih, 2022. "The Ascent of Geopolitics: Scientometric Analysis and Ramifications of Geopolitical Risk," MPRA Paper 112741, University Library of Munich, Germany.
    28. Shang, Yue & Wei, Yu & Chen, Yongfei, 2022. "Cryptocurrency policy uncertainty and gold return forecasting: A dynamic Occam's window approach," Finance Research Letters, Elsevier, vol. 50(C).
    29. Salisu, Afees A. & Adediran, Idris & Omoke, Philip C. & Tchankam, Jean Paul, 2023. "Gold and tail risks," Resources Policy, Elsevier, vol. 80(C).
    30. Zhou, Mei-Jing & Huang, Jian-Bai & Chen, Jin-Yu, 2022. "Time and frequency spillovers between political risk and the stock returns of China's rare earths," Resources Policy, Elsevier, vol. 75(C).
    31. Li, Xiafei & Guo, Qiang & Liang, Chao & Umar, Muhammad, 2023. "Forecasting gold volatility with geopolitical risk indices," Research in International Business and Finance, Elsevier, vol. 64(C).
    32. Xiafei Li & Dongxin Li & Xuhui Zhang & Guiwu Wei & Lan Bai & Yu Wei, 2021. "Forecasting regular and extreme gold price volatility: The roles of asymmetry, extreme event, and jump," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1501-1523, December.
    33. Yang, Jianlei & Yang, Chunpeng, 2021. "The impact of mixed-frequency geopolitical risk on stock market returns," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 226-240.
    34. Salisu, Afees A. & Cuñado, Juncal & Gupta, Rangan, 2022. "Geopolitical risks and historical exchange rate volatility of the BRICS," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 179-190.
    35. Lu, Xinjie & Ma, Feng & Wang, Jianqiong & Dong, Dayong, 2022. "Singlehanded or joint race? Stock market volatility prediction," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 734-754.
    36. Cheng, Sheng & Zhang, Zongyou & Cao, Yan, 2022. "Can precious metals hedge geopolitical risk? Fresh sight using wavelet coherence analysis," Resources Policy, Elsevier, vol. 79(C).
    37. Konstantinos Gkillas & Elie Bouri & Rangan Gupta & David Roubaud, 2020. "Spillovers in Higher-Order Moments of Crude Oil, Gold, and Bitcoin," Working Papers 202068, University of Pretoria, Department of Economics.
    38. Zhang, Hongwei & Demirer, Riza & Huang, Jianbai & Huang, Wanjun & Tahir Suleman, Muhammad, 2021. "Economic policy uncertainty and gold return dynamics: Evidence from high-frequency data," Resources Policy, Elsevier, vol. 72(C).
    39. Zaremba, Adam & Cakici, Nusret & Demir, Ender & Long, Huaigang, 2022. "When bad news is good news: Geopolitical risk and the cross-section of emerging market stock returns," Journal of Financial Stability, Elsevier, vol. 58(C).
    40. Zhou, Mei-Jing & Huang, Jian-Bai & Chen, Jin-Yu, 2020. "The effects of geopolitical risks on the stock dynamics of China's rare metals: A TVP-VAR analysis," Resources Policy, Elsevier, vol. 68(C).
    41. Cheng, Sheng & Han, Lingyu & Cao, Yan & Jiang, Qisheng & Liang, Ruibin, 2022. "Gold-oil dynamic relationship and the asymmetric role of geopolitical risks: Evidence from Bayesian pdBEKK-GARCH with regime switching," Resources Policy, Elsevier, vol. 78(C).
    42. Gong, Xu & Xu, Jun, 2022. "Geopolitical risk and dynamic connectedness between commodity markets," Energy Economics, Elsevier, vol. 110(C).
    43. Ahdi Noomen Ajmi & Roula Inglesi-Lotz, 2021. "Revisiting the Kuznets Curve Hypothesis for Tunisia: Carbon Dioxide vs. Ecological Footprint," Working Papers 202171, University of Pretoria, Department of Economics.
    44. 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).
    45. Wang, Lu & Wu, Jiangbin & Cao, Yang & Hong, Yanran, 2022. "Forecasting renewable energy stock volatility using short and long-term Markov switching GARCH-MIDAS models: Either, neither or both?," Energy Economics, Elsevier, vol. 111(C).
    46. Riza Demirer & Rangan Gupta & Christian Pierdzioch & Syed Jawad Hussain Shahzad, 2021. "A note on oil price shocks and the forecastability of gold realized volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 28(21), pages 1889-1897, December.
    47. Li, Yingli & Huang, Jianbai & Gao, Wang & Zhang, Hongwei, 2021. "Analyzing the time-frequency connectedness among oil, gold prices and BRICS geopolitical risks," Resources Policy, Elsevier, vol. 73(C).
    48. Choi, Sun-Yong, 2022. "Evidence from a multiple and partial wavelet analysis on the impact of geopolitical concerns on stock markets in North-East Asian countries," Finance Research Letters, Elsevier, vol. 46(PB).
    49. Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2020. "The Role of Global Economic Conditions in Forecasting Gold Market Volatility: Evidence from a GARCH-MIDAS Approach," Working Papers 202043, University of Pretoria, Department of Economics.
    50. Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2020. "Forecasting Realized Stock-Market Volatility: Do Industry Returns have Predictive Value?," Working Papers 2020107, University of Pretoria, Department of Economics.
    51. Xu, Yahua & Bouri, Elie & Saeed, Tareq & Wen, Zhuzhu, 2020. "Intraday return predictability: Evidence from commodity ETFs and their related volatility indices," Resources Policy, Elsevier, vol. 69(C).
    52. Hu, Min & Zhang, Dayong & Ji, Qiang & Wei, Lijian, 2020. "Macro factors and the realized volatility of commodities: A dynamic network analysis," Resources Policy, Elsevier, vol. 68(C).
    53. Evrim Mandaci, Pınar & Azimli, Asil & Mandaci, Nazif, 2023. "The impact of geopolitical risks on connectedness among natural resource commodities: A quantile vector autoregressive approach," Resources Policy, Elsevier, vol. 85(PA).
    54. Fiorillo, Paolo & Meles, Antonio & Pellegrino, Luigi Raffaele & Verdoliva, Vincenzo, 2023. "Geopolitical risk and stock liquidity," Finance Research Letters, Elsevier, vol. 54(C).

  42. Frenger, Monika & Emrich, Eike & Geber, Sebastian & Follert, Florian & Pierdzioch, Christian, 2019. "The influence of performance parameters on market value," Working Papers of the European Institute for Socioeconomics 30, European Institute for Socioeconomics (EIS), Saarbrücken.

    Cited by:

    1. Marco Di Domizio & Raul Caruso & Bernd Frick, 2020. "Intelligenza Collettiva E Valore Di Mercato Dei Calciatori: Il Caso Transfermarkt," Rivista di Diritto ed Economia dello Sport, Centro di diritto e business dello Sport, vol. 16(2), pages 155-172, novembre.

  43. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2019. "Forecasting Realized Volatility of Bitcoin Returns: Tail Events and Asymmetric Loss," Working Papers 201905, University of Pretoria, Department of Economics.

    Cited by:

    1. Sapkota, Niranjan, 2022. "News-based sentiment and bitcoin volatility," International Review of Financial Analysis, Elsevier, vol. 82(C).
    2. Skander Slim & Ibrahim Tabche & Yosra Koubaa & Mohamed Osman & Andreas Karathanasopoulos, 2023. "Forecasting realized volatility of Bitcoin: The informative role of price duration," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1909-1929, November.
    3. Lei Wang & Provash Kumer Sarker & Elie Bouri, 2023. "Short- and Long-Term Interactions Between Bitcoin and Economic Variables: Evidence from the US," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1305-1330, April.
    4. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2022. "Uncertainty and forecastability of regional output growth in the UK: Evidence from machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1049-1064, September.
    5. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2022. "Business Applications and State-Level Stock Market Realized Volatility: A Forecasting Experiment," Working Papers 202247, University of Pretoria, Department of Economics.
    6. Muhammad Ikhlas Rosele & Abdul Muneem & Azizi Bin Che Seman & Luqman Bin Haji Abdullah & Noor Naemah Binti Abdul Rahman & Mohd Edil Bin Abd Sukor & Abdul Karim Bin Ali, 2022. "The Concept of Wealth (mÄ l) in the SharÄ«Ê¿ah and Its Relation to Digital Assets," SAGE Open, , vol. 12(2), pages 21582440221, June.
    7. Elie Bouri & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting Realized Volatility of Bitcoin: The Role of the Trade War," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 29-53, January.
    8. Konstantinos Gkillas & Christoforos Konstantatos & Costas Siriopoulos, 2021. "Uncertainty Due to Infectious Diseases and Stock–Bond Correlation," Econometrics, MDPI, vol. 9(2), pages 1-18, April.
    9. Arthur Jin Lin, 2023. "Volatility Contagion from Bulk Shipping and Petrochemical Industries to Oil Futures Market during the Economic Uncertainty," Mathematics, MDPI, vol. 11(17), pages 1-19, August.

  44. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2018. "Forecasting (Good and Bad) Realized Exchange-Rate Volatility: Is there a Role for Realized Skewness and Kurtosis?," Working Papers 201879, University of Pretoria, Department of Economics.

    Cited by:

    1. Demirer, Riza & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2019. "Time-varying risk aversion and realized gold volatility," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    2. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting Realized Volatility of International REITs: The Role of Realized Skewness and Realized Kurtosis," Working Papers 202114, University of Pretoria, Department of Economics.

  45. Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2018. "Time-Varying Risk Aversion and Realized Gold Volatility," Working Papers 201881, University of Pretoria, Department of Economics.

    Cited by:

    1. Asai, Manabu & Gupta, Rangan & McAleer, Michael, 2020. "Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks," International Journal of Forecasting, Elsevier, vol. 36(3), pages 933-948.
    2. Bouri, Elie & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2021. "Forecasting power of infectious diseases-related uncertainty for gold realized variance," Finance Research Letters, Elsevier, vol. 42(C).
    3. Manabu Asai & Rangan Gupta & Michael McAleer, 2019. "The Impact of Jumps and Leverage in Forecasting the Co-Volatility of Oil and Gold Futures," Working Papers 201925, University of Pretoria, Department of Economics.
    4. Christos Floros & Konstantinos Gkillas & Christoforos Konstantatos & Athanasios Tsagkanos, 2020. "Realized Measures to Explain Volatility Changes over Time," JRFM, MDPI, vol. 13(6), pages 1-19, June.
    5. Afees A. Salisu & Rangan Gupta & Sayar Karmakar & Sonali Das, 2021. "Forecasting Output Growth of Advanced Economies Over Eight Centuries: The Role of Gold Market Volatility as a Proxy of Global Uncertainty," Working Papers 202133, University of Pretoria, Department of Economics.
    6. Shahbaz, Muhammad & Khan, Asad ul Islam & Mubarak, Muhammad Shujaat, 2023. "Roling-window bounds testing approach to analyze the relationship between oil prices and metal prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 388-395.
    7. Dunbar, Kwamie & Owusu-Amoako, Johnson, 2023. "Role of hedging on crypto returns predictability: A new habit-based explanation," Finance Research Letters, Elsevier, vol. 55(PB).
    8. Riza Demirer & Rangan Gupta & Hossein Hassani & Xu Huang, 2020. "Time-Varying Risk Aversion and the Profitability of Carry Trades: Evidence from the Cross-Quantilogram," Economies, MDPI, vol. 8(1), pages 1-12, March.
    9. Demirer, Riza & Yuksel, Asli & Yuksel, Aydin, 2022. "Time-varying risk aversion and currency excess returns," Research in International Business and Finance, Elsevier, vol. 59(C).
    10. Riza Demirer & Konstantinos Gkillas & Christos Kountzakis & Amaryllis Mavragani, 2020. "Risk Appetite and Jumps in Realized Correlation," Mathematics, MDPI, vol. 8(12), pages 1-11, December.
    11. Bonato, Matteo & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2021. "A note on investor happiness and the predictability of realized volatility of gold," Finance Research Letters, Elsevier, vol. 39(C).
    12. Li, Wenlan & Cheng, Yuxiang & Fang, Qiang, 2020. "Forecast on silver futures linked with structural breaks and day-of-the-week effect," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    13. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    14. Gupta, Rangan & Pierdzioch, Christian, 2022. "Climate risks and forecastability of the realized volatility of gold and other metal prices," Resources Policy, Elsevier, vol. 77(C).
    15. Cui, Jinxin & Maghyereh, Aktham & Goh, Mark & Zou, Huiwen, 2022. "Risk spillovers and time-varying links between international oil and China’s commodity futures markets: Fresh evidence from the higher-order moments," Energy, Elsevier, vol. 238(PB).
    16. Naeem, Muhammad Abubakr & Qureshi, Fiza & Arif, Muhammad & Balli, Faruk, 2021. "Asymmetric relationship between gold and Islamic stocks in bearish, normal and bullish market conditions," Resources Policy, Elsevier, vol. 72(C).
    17. Gemici, Eray & Gök, Remzi & Bouri, Elie, 2023. "Predictability of risk appetite in Turkey: Local versus global factors," Emerging Markets Review, Elsevier, vol. 55(C).
    18. Li, Xiafei & Guo, Qiang & Liang, Chao & Umar, Muhammad, 2023. "Forecasting gold volatility with geopolitical risk indices," Research in International Business and Finance, Elsevier, vol. 64(C).
    19. Matteo Bonato & Rangan Gupta & Chi Keung Marco Lau & Shixuan Wang, 2019. "Moments-Based Spillovers across Gold and Oil Markets," Working Papers 201966, University of Pretoria, Department of Economics.
    20. Konstantinos Gkillas & Elie Bouri & Rangan Gupta & David Roubaud, 2020. "Spillovers in Higher-Order Moments of Crude Oil, Gold, and Bitcoin," Working Papers 202068, University of Pretoria, Department of Economics.
    21. Zhang, Hongwei & Demirer, Riza & Huang, Jianbai & Huang, Wanjun & Tahir Suleman, Muhammad, 2021. "Economic policy uncertainty and gold return dynamics: Evidence from high-frequency data," Resources Policy, Elsevier, vol. 72(C).
    22. Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2020. "The Role of Global Economic Conditions in Forecasting Gold Market Volatility: Evidence from a GARCH-MIDAS Approach," Working Papers 202043, University of Pretoria, Department of Economics.
    23. Umar, Zaghum & Bossman, Ahmed & Choi, Sun-Yong & Teplova, Tamara, 2023. "The relationship between global risk aversion and returns from safe-haven assets," Finance Research Letters, Elsevier, vol. 51(C).
    24. Xu, Yahua & Bouri, Elie & Saeed, Tareq & Wen, Zhuzhu, 2020. "Intraday return predictability: Evidence from commodity ETFs and their related volatility indices," Resources Policy, Elsevier, vol. 69(C).
    25. Wu, Xinyu & Xie, Haibin & Zhang, Huanming, 2022. "Time-varying risk aversion and renminbi exchange rate volatility: Evidence from CARR-MIDAS model," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    26. Sobti, Neharika & Sehgal, Sanjay & Ilango, Balakrishnan, 2021. "How do macroeconomic news surprises affect round-the-clock price discovery of gold?," International Review of Financial Analysis, Elsevier, vol. 78(C).

  46. Rangan Gupta & Christian Pierdzioch & Andrew J. Vivian & Mark E. Wohar, 2018. "The Predictive Value of Inequality Measures for Stock Returns: An Analysis of Long-Span UK Data Using Quantile Random Forests," Working Papers 201809, University of Pretoria, Department of Economics.

    Cited by:

    1. Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2023. "Drivers of Realized Volatility for Emerging Countries with a Focus on South Africa: Fundamentals versus Sentiment," Mathematics, MDPI, vol. 11(6), pages 1-26, March.
    2. 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.
    3. Riza Demirer & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2022. "Risk aversion and the predictability of crude oil market volatility: A forecasting experiment with random forests," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(8), pages 1755-1767, August.
    4. Hossein Hassani & Mohammad Reza Yeganegi & Rangan Gupta, 2018. "Does Inequality Really Matter in Forecasting Real Housing Returns of the United Kingdom?," Working Papers 201859, University of Pretoria, Department of Economics.
    5. Chia-Cheng Chen & Chun-Hung Chen & Ting-Yin Liu, 2020. "Investment Performance of Machine Learning: Analysis of S&P 500 Index," International Journal of Economics and Financial Issues, Econjournals, vol. 10(1), pages 59-66.
    6. Fazlollah Soleymani & Houman Masnavi & Stanford Shateyi, 2020. "Classifying a Lending Portfolio of Loans with Dynamic Updates via a Machine Learning Technique," Mathematics, MDPI, vol. 9(1), pages 1-15, December.
    7. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2023. "Climate Risks and Forecasting Stock Market Returns in Advanced Economies over a Century," Mathematics, MDPI, vol. 11(9), pages 1-21, April.
    8. Taussig, Roi D., 2021. "Competition risk and expected stock returns," Finance Research Letters, Elsevier, vol. 41(C).
    9. Afees A. Salisu & Rangan Gupta, 2021. "Commodity Prices and Forecastability of South African Stock Returns Over a Century: Sentiments versus Fundamentals," Working Papers 202144, University of Pretoria, Department of Economics.
    10. Hossein Hassani & Mohammad Reza Yeganegi & Rangan Gupta & Riza Demirer, 2022. "Forecasting stock market (realized) volatility in the United Kingdom: Is there a role of inequality?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2146-2152, April.
    11. Elie Bouri & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting Realized Volatility of Bitcoin: The Role of the Trade War," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 29-53, January.
    12. Chin-Sheng Huang & Yi-Sheng Liu, 2019. "Machine Learning on Stock Price Movement Forecast: The Sample of the Taiwan Stock Exchange," International Journal of Economics and Financial Issues, Econjournals, vol. 9(2), pages 189-201.
    13. Chia-Cheng Chen & Yisheng Liu & Ting-Hsin Hsu, 2019. "An Analysis on Investment Performance of Machine Learning: An Empirical Examination on Taiwan Stock Market," International Journal of Economics and Financial Issues, Econjournals, vol. 9(4), pages 1-10.

  47. Tsangyao Chang & Rangan Gupta & Anandamayee Majumdar & Christian Pierdzioch, 2017. "Predicting Stock Market Movements with a Time-Varying Consumption-Aggregate Wealth Ratio," Working Papers 201756, University of Pretoria, Department of Economics.

    Cited by:

    1. Marina Kolosnitsyna & Anna Philippova, 2017. "Family Benefits and Poverty: The Case of Russia," HSE Working papers WP BRP 03/PSP/2017, National Research University Higher School of Economics.
    2. Mehmet Balcilar & Rangan Gupta & Ricardo M. Sousa & Mark E. Wohar, 2020. "Linking U.S. State-Level Housing Market Returns and the Consumption-(Dis)Aggregate Wealth Ratio," Working Papers 202094, University of Pretoria, Department of Economics.
    3. Oğuzhan Çepni & Rangan Gupta & Mark E. Wohar, 2021. "Variants of consumption‐wealth ratios and predictability of U.S. government bond risk premia," International Review of Finance, International Review of Finance Ltd., vol. 21(2), pages 661-674, June.
    4. Rangan Gupta & Hardik A. Marfatia & Eric Olson, 2020. "Effect of uncertainty on U.S. stock returns and volatility: evidence from over eighty years of high-frequency data," Applied Economics Letters, Taylor & Francis Journals, vol. 27(16), pages 1305-1311, September.
    5. Oguzhan Cepni & Rangan Gupta & Mark E. Wohar, 2019. "Variants of Consumption-Wealth Ratios and Predictability of U.S. Government Bond Risk Premia: Old is still Gold," Working Papers 201912, University of Pretoria, Department of Economics.
    6. Hui Hong & Zhicun Bian & Chien-Chiang Lee, 2021. "COVID-19 and instability of stock market performance: evidence from the U.S," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-18, December.

  48. Rangan Gupta & Christian Pierdzioch & Refk Selmi & Mark E. Wohar, 2017. "Does Partisan Conflict Predict a Reduction in US Stock Market (Realized) Volatility? Evidence from a Quantile-on-Quantile Regression Model," Working Papers 201744, University of Pretoria, Department of Economics.

    Cited by:

    1. Refk Selmi & Walid Mensi & Shawkat Hammoudeh & Jamal Bouoiyour, 2018. "Is Bitcoin a hedge, a safe haven or a diversifier for oil price movements? A comparison with gold," Post-Print hal-01879667, HAL.
    2. Jamal Bouoiyour & Refk Selmi & Mark Wohar, 2018. "Measuring the response of gold prices to uncertainty: An analysis beyond the mean," Post-Print hal-01817067, HAL.

  49. Christian Pierdzioch & Rangan Gupta, 2017. "Uncertainty and Forecasts of U.S. Recessions," Working Papers 201732, University of Pretoria, Department of Economics.

    Cited by:

    1. Shixuan Wang & Rangan Gupta & Yue-Jun Zhang, 2020. "Bear, Bull, Sidewalk, and Crash: The Evolution of the US Stock Market Using Over a Century of Daily Data," Working Papers 202097, University of Pretoria, Department of Economics.
    2. Afees A. Salisu & Rangan Gupta & Sayar Karmakar & Sonali Das, 2021. "Forecasting Output Growth of Advanced Economies Over Eight Centuries: The Role of Gold Market Volatility as a Proxy of Global Uncertainty," Working Papers 202133, University of Pretoria, Department of Economics.
    3. Goodness C. Aye & Matthew W. Clance & Rangan Gupta, 2017. "The Effect of Economic Uncertainty on the Housing Market Cycle," Working Papers 201757, University of Pretoria, Department of Economics.
    4. Riza Demirer & Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2020. "Effect of Rare Disaster Risks on Crude Oil: Evidence from El Nino from Over 140 Years of Data," Working Papers 2020104, University of Pretoria, Department of Economics.
    5. Goodness C. Aye & Matthew W. Clance & Rangan Gupta, 2017. "The Effectiveness of Monetary and Fiscal Policy Shocks on U.S. Inequality: The Role of Uncertainty," Working Papers 201782, University of Pretoria, Department of Economics.
    6. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2021. "Uncertainty and Forecastability of Regional Output Growth in the United Kingdom: Evidence from Machine Learning," Working Papers 202111, University of Pretoria, Department of Economics.
    7. Oguzhan Cepni & Rangan Gupta & Qiang Ji, 2021. "Sentiment Regimes and Reaction of Stock Markets to Conventional and Unconventional Monetary Policies: Evidence from OECD Countries," Working Papers 202126, University of Pretoria, Department of Economics.
    8. Salisu, Afees A. & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil prices over 150 years: The role of tail risks," Resources Policy, Elsevier, vol. 75(C).

  50. Rullang, Christian & Emrich, Eike & Pierdzioch, Christian, 2017. "Why do referees end their careers and which factors determine the duration of a referee's career?," Working Papers of the European Institute for Socioeconomics 19, European Institute for Socioeconomics (EIS), Saarbrücken.

    Cited by:

    1. Natalia Orviz-Martínez & María Botey-Fullat & Sergio Arce-García, 2021. "Analysis of Burnout and Psychosocial Factors in Grassroot Football Referees," IJERPH, MDPI, vol. 18(3), pages 1-18, January.

  51. Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch & Mark Wohar, 2016. "Terror Attacks and Stock-Market Fluctuations: Evidence Based on a Nonparametric Causality-in-Quantiles Test for the G7 Countries," Working Papers 201608, University of Pretoria, Department of Economics.

    Cited by:

    1. Ismail O Fasanya & Oluwatomisin J Oyewole & Taofeek Agbatogun, 2021. "How Does Economic Policy Uncertainty Connect With the Volatility Spillovers in Asia-Pacific Markets?," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 2(2), pages 1-6.
    2. Wang, Fanyi & Ma, Wanying & Mirza, Nawazish & Altuntaş, Mehmet, 2023. "Green financing, financial uncertainty, geopolitical risk, and oil prices volatility," Resources Policy, Elsevier, vol. 83(C).
    3. Wael Hemrit, 2022. "Does insurance demand react to economic policy uncertainty and geopolitical risk? Evidence from Saudi Arabia," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(2), pages 460-492, April.
    4. Rangan Gupta & Tahir Suleman & Mark E. Wohar, 2019. "The role of time‐varying rare disaster risks in predicting bond returns and volatility," Review of Financial Economics, John Wiley & Sons, vol. 37(3), pages 327-340, July.
    5. Rıza Demirer & Rangan Gupta & Tahir Suleman & Mark E. Wohar, 2017. "Time-Varying Rare Disaster Risks, Oil Returns and Volatility," Working Papers 201762, University of Pretoria, Department of Economics.
    6. Parthajit Kayal & G. Balasubramanian, 2021. "Excess Volatility in Bitcoin: Extreme Value Volatility Estimation," IIM Kozhikode Society & Management Review, , vol. 10(2), pages 222-231, July.
    7. Balcilar, Mehmet & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2017. "Can volume predict Bitcoin returns and volatility? A quantiles-based approach," Economic Modelling, Elsevier, vol. 64(C), pages 74-81.
    8. Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian & Wohar, Mark E., 2017. "Do terror attacks predict gold returns? Evidence from a quantile-predictive-regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 276-284.
    9. Jalloul, Maya & Miescu, Mirela, 2023. "Equity market connectedness across regimes of geopolitical risks: Historical evidence and theory," Journal of International Money and Finance, Elsevier, vol. 137(C).
    10. Bos, Martijn & Demirer, Riza & Gupta, Rangan & Tiwari, Aviral Kumar, 2018. "Oil returns and volatility: The role of mergers and acquisitions," Energy Economics, Elsevier, vol. 71(C), pages 62-69.
    11. Christos Bouras & Christina Christou & Rangan Gupta & Tahir Suleman, 2019. "Geopolitical Risks, Returns, and Volatility in Emerging Stock Markets: Evidence from a Panel GARCH Model," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(8), pages 1841-1856, June.
    12. Boido, Claudio & Aliano, Mauro, 2023. "Digital art and non-fungible-token: Bubble or revolution?," Finance Research Letters, Elsevier, vol. 52(C).
    13. Baur, Dirk G. & Smales, Lee A., 2020. "Hedging geopolitical risk with precious metals," Journal of Banking & Finance, Elsevier, vol. 117(C).
    14. Feng, Hao & Gao, Da & Duan, Kun & Urquhart, Andrew, 2023. "Does Bitcoin affect decomposed oil shocks differently? Evidence from a quantile-based framework," International Review of Financial Analysis, Elsevier, vol. 89(C).
    15. Mehmet Balcilar & Elie Bouri & Rangan Gupta & David Roubaud, 2016. "Can Volume Predict Bitcoin Returns and Volatility? A Nonparametric Causality-in-Quantiles Approach," Working Papers 201662, University of Pretoria, Department of Economics.
    16. Iwanicz-Drozdowska, Małgorzata & Rogowicz, Karol & Kurowski, Łukasz & Smaga, Paweł, 2021. "Two decades of contagion effect on stock markets: Which events are more contagious?," Journal of Financial Stability, Elsevier, vol. 55(C).
    17. Chang, Tsangyao & Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian, 2019. "Predicting stock market movements with a time-varying consumption-aggregate wealth ratio," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 458-467.
    18. Elie Bouri & Riza Demirer & Rangan Gupta & Hardik A. Marfatia, 2019. "Geopolitical Risks and Movements in Islamic Bond and Equity Markets: A Note," Defence and Peace Economics, Taylor & Francis Journals, vol. 30(3), pages 367-379, April.
    19. Fasanya, Ismail O. & Adekoya, Oluwasegun B. & Adetokunbo, Abiodun M., 2021. "On the connection between oil and global foreign exchange markets: The role of economic policy uncertainty," Resources Policy, Elsevier, vol. 72(C).
    20. Rangan Gupta, 2018. "Manager Sentiment and Stock Market Volatility," Working Papers 201853, University of Pretoria, Department of Economics.
    21. Mokni, Khaled & Bouteska, Ahmed & Nakhli, Mohamed Sahbi, 2022. "Investor sentiment and Bitcoin relationship: A quantile-based analysis," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    22. Walid Bahloul & Mehmet Balcilar & Juncal Cunado & Rangan Gupta, 2017. "The Role of Economic and Financial Uncertainties in Predicting Commodity Futures Returns and Volatility: Evidence from a Nonparametric Causality-in-Quantiles Test," Working Papers 201725, University of Pretoria, Department of Economics.
    23. Li, Xiao, 2021. "Does Chinese investor sentiment predict Asia-pacific stock markets? Evidence from a nonparametric causality-in-quantiles test," Finance Research Letters, Elsevier, vol. 38(C).
    24. Cepni, Oguzhan & Emirmahmutoglu, Furkan & Guney, Ibrahim Ethem & Yilmaz, Muhammed Hasan, 2023. "Do the carry trades respond to geopolitical risks? Evidence from BRICS countries," Economic Systems, Elsevier, vol. 47(2).
    25. Ismail O. Fasanya & Oluwatomisin J. Oyewole & Johnson A. Oliyide, 2021. "Can Uncertainty Due to Pandemic Predict Asia-Pacific Energy Stock Markets?," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 2(1), pages 1-7.
    26. Rangan Gupta & Jacobus Nel & Joshua Nielsen & Christian Pierdzioch, 2023. "Stock Market Volatility and Multi-Scale Positive and Negative Bubbles," Working Papers 202310, University of Pretoria, Department of Economics.
    27. Arfaoui, Nadia & Naoui, Kamel, 2022. "Terrorism, investor sentiment, and stock market reaction: Evidence from the British and the French markets," Finance Research Letters, Elsevier, vol. 46(PB).
    28. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch & Seong-Min Yoon, 2020. "OPEC News and Jumps in the Oil Market," Working Papers 202053, University of Pretoria, Department of Economics.
    29. Zhang, Zhengyong & Bouri, Elie & Klein, Tony & Jalkh, Naji, 2022. "Geopolitical risk and the returns and volatility of global defense companies: A new race to arms?," International Review of Financial Analysis, Elsevier, vol. 83(C).
    30. Duan, Kun & Liu, Yang & Yan, Cheng & Huang, Yingying, 2023. "Differences in carbon risk spillovers with green versus traditional assets: Evidence from a full distributional analysis," Energy Economics, Elsevier, vol. 127(PA).
    31. Saffet Akdag & Ömer İskenderoglu & Andrew Adewale Alola, 2020. "The volatility spillover effects among risk appetite indexes: insight from the VIX and the rise," Letters in Spatial and Resource Sciences, Springer, vol. 13(1), pages 49-65, April.
    32. Ahdi Noomen Ajmi & Roula Inglesi-Lotz, 2021. "Revisiting the Kuznets Curve Hypothesis for Tunisia: Carbon Dioxide vs. Ecological Footprint," Working Papers 202171, University of Pretoria, Department of Economics.
    33. Li, Sufang & Tu, Dalun & Zeng, Yan & Gong, Chenggang & Yuan, Di, 2022. "Does geopolitical risk matter in crude oil and stock markets? Evidence from disaggregated data," Energy Economics, Elsevier, vol. 113(C).
    34. Rangan Gupta & Chi Keung Marco Lau & Wendy Nyakabawo, 2018. "Predicting Aggregate and State-Level US House Price Volatility: The Role of Sentiment," Working Papers 201866, University of Pretoria, Department of Economics.
    35. Nicholas Apergis & Matteo Bonato & Rangan Gupta & Clement Kyei, 2016. "Does Geopolitical Risks Predict Stock Returns and Volatility of Leading Defense Companies? Evidence from a Nonparametric Approach," Working Papers 201671, University of Pretoria, Department of Economics.

  52. Ulrich Fritsche & Christian Pierdzioch, 2016. "Animal Spirits, the Stock Market, and the Unemployment Rate: Some Evidence for German Data," Macroeconomics and Finance Series 201601, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Ayad Hicham, 2020. "Government Expenditure and Economic Growth Nexus in Mena Countries: Frequency Domain Spectral Causality Analysis," Economics and Business, Sciendo, vol. 34(1), pages 60-77, January.
    2. Pan, Wei-Fong, 2018. "Does the stock market really cause unemployment? A cross-country analysis," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 34-43.
    3. Xolani Sibande & Rangan Gupta & Mark E. Wohar, 2018. "Time-Varying Causal Relationship between Stock Market and Unemployment in the United Kingdom: Historical Evidence from 1855 to 2017," Working Papers 201863, University of Pretoria, Department of Economics.
    4. Deniz Ilalan, 2018. "How US wages effect post-socialist European stock markets: an empirical study," Economics and Business Letters, Oviedo University Press, vol. 7(4), pages 179-188.
    5. Barbieri Hermitte, Riccardo & Cagnazzo, Alberto & Favero, Carlo A. & Felici, Francesco & Macauda, Valeria & Nucci, Francesco & Tegami, Cristian, 2023. "ITFIN: A stock-flow consistent model for the Italian economy," Economic Modelling, Elsevier, vol. 119(C).

  53. Emrich, Eike & Pierdzioch, Christian & Rullang, Christian, 2016. "For the love of football? Using economic models of volunteering to study the motives of German football referees," Working Papers of the European Institute for Socioeconomics 16, European Institute for Socioeconomics (EIS), Saarbrücken.

    Cited by:

    1. Rullang, Christian & Emrich, Eike & Pierdzioch, Christian, 2017. "Why do referees end their careers and which factors determine the duration of a referee's career?," Working Papers of the European Institute for Socioeconomics 19, European Institute for Socioeconomics (EIS), Saarbrücken.
    2. Giel, Thomas & Breuer, Christoph, 2020. "The determinants of the intention to continue voluntary football refereeing," Sport Management Review, Elsevier, vol. 23(2), pages 242-255.

  54. 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.

    Cited by:

    1. Demirer, Riza & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2019. "Time-varying risk aversion and realized gold volatility," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    2. Jian, Zhihong & Li, Xupei & Zhu, Zhican, 2022. "Extreme risk transmission channels between the stock index futures and spot markets: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    3. 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.
    4. David Gabauer & Rangan Gupta & Sayar Karmakar & Joshua Nielsen, 2022. "Stock Market Bubbles and the Forecastability of Gold Returns (and Volatility)," Working Papers 202228, University of Pretoria, Department of Economics.
    5. Nguyen, Quynh Nga & Bedoui, Rihab & Majdoub, Najemeddine & Guesmi, Khaled & Chevallier, Julien, 2020. "Hedging and safe-haven characteristics of Gold against currencies: An investigation based on multivariate dynamic copula theory," Resources Policy, Elsevier, vol. 68(C).
    6. Shang, Yue & Wei, Yu & Chen, Yongfei, 2022. "Cryptocurrency policy uncertainty and gold return forecasting: A dynamic Occam's window approach," Finance Research Letters, Elsevier, vol. 50(C).
    7. 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).
    8. Yongmei Fang & Bo Guan & Shangjuan Wu & Saeed Heravi, 2020. "Optimal forecast combination based on ensemble empirical mode decomposition for agricultural commodity futures prices," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 877-886, September.
    9. Balcilar, Mehmet & Gupta, Rangan & Nel, Jacobus, 2022. "Rare disaster risks and gold over 700 years: Evidence from nonparametric quantile regressions," Resources Policy, Elsevier, vol. 79(C).

  55. Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch & Mark Wohar, 2016. "Do Terror Attacks Affect the Dollar-Pound Exchange Rate? A Nonparametric Causality-in-Quantiles Analysis," Working Papers 201615, University of Pretoria, Department of Economics.

    Cited by:

    1. Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian & Wohar, Mark E., 2017. "Do terror attacks predict gold returns? Evidence from a quantile-predictive-regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 276-284.
    2. Christos Bouras & Christina Christou & Rangan Gupta & Tahir Suleman, 2019. "Geopolitical Risks, Returns, and Volatility in Emerging Stock Markets: Evidence from a Panel GARCH Model," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(8), pages 1841-1856, June.
    3. Chang, Tsangyao & Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian, 2019. "Predicting stock market movements with a time-varying consumption-aggregate wealth ratio," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 458-467.
    4. Elie Bouri & Riza Demirer & Rangan Gupta & Hardik A. Marfatia, 2019. "Geopolitical Risks and Movements in Islamic Bond and Equity Markets: A Note," Defence and Peace Economics, Taylor & Francis Journals, vol. 30(3), pages 367-379, April.
    5. Rangan Gupta, 2018. "Manager Sentiment and Stock Market Volatility," Working Papers 201853, University of Pretoria, Department of Economics.
    6. Godwin Olasehinde-Williams & Mehmet Balcilar, 2018. "The Long-run Effect of Geopolitical Risks on Insurance Premiums," Working Papers 15-44, Eastern Mediterranean University, Department of Economics.
    7. Salisu, Afees A. & Cuñado, Juncal & Gupta, Rangan, 2022. "Geopolitical risks and historical exchange rate volatility of the BRICS," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 179-190.
    8. Nicholas Apergis & Matteo Bonato & Rangan Gupta & Clement Kyei, 2016. "Does Geopolitical Risks Predict Stock Returns and Volatility of Leading Defense Companies? Evidence from a Nonparametric Approach," Working Papers 201671, University of Pretoria, Department of Economics.

  56. Rangan Gupta & Anandamayee Majumdar & Christian Pierdzioch & Mark Wohar, 2016. "Do Terror Attacks Predict Gold Returns? Evidence from a Quantile-Predictive-Regression Approach," Working Papers 201626, University of Pretoria, Department of Economics.

    Cited by:

    1. Chen, Guojin & Liu, Yanzhen & Zhang, Yu, 2020. "Can systemic risk measures predict economic shocks? Evidence from China," China Economic Review, Elsevier, vol. 64(C).
    2. Jamal Bouoiyour & Refk Selmi & Shawkat Hammoudeh & Mark E Wohar, 2019. "What are the categories of geopolitical risks that could drive oil prices higher? Acts or threats?," Post-Print hal-02409062, HAL.
    3. Christos Bouras & Christina Christou & Rangan Gupta & Tahir Suleman, 2019. "Geopolitical Risks, Returns, and Volatility in Emerging Stock Markets: Evidence from a Panel GARCH Model," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(8), pages 1841-1856, June.
    4. 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.
    5. David Gabauer & Rangan Gupta & Sayar Karmakar & Joshua Nielsen, 2022. "Stock Market Bubbles and the Forecastability of Gold Returns (and Volatility)," Working Papers 202228, University of Pretoria, Department of Economics.
    6. Elie Bouri & Riza Demirer & Rangan Gupta & Hardik A. Marfatia, 2019. "Geopolitical Risks and Movements in Islamic Bond and Equity Markets: A Note," Defence and Peace Economics, Taylor & Francis Journals, vol. 30(3), pages 367-379, April.
    7. Mehmet Balcilar & Matteo Bonato & Riza Demirer & Rangan Gupta, 2016. "Geopolitical Risks and Stock Market Dynamics of the BRICS," Working Papers 201648, University of Pretoria, Department of Economics.
    8. Gupta, Rangan & Pierdzioch, Christian & Vivian, Andrew J. & Wohar, Mark E., 2019. "The predictive value of inequality measures for stock returns: An analysis of long-span UK data using quantile random forests," Finance Research Letters, Elsevier, vol. 29(C), pages 315-322.
    9. Cepni, Oguzhan & Emirmahmutoglu, Furkan & Guney, Ibrahim Ethem & Yilmaz, Muhammed Hasan, 2023. "Do the carry trades respond to geopolitical risks? Evidence from BRICS countries," Economic Systems, Elsevier, vol. 47(2).
    10. Chen, Jinyu & Huang, Yuxin & Ren, Xiaohang & Qu, Jingxiao, 2022. "Time-varying spillovers between trade policy uncertainty and precious metal markets: Evidence from China-US trade conflict," Resources Policy, Elsevier, vol. 76(C).
    11. 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).
    12. Liu, Yang & Han, Liyan & Xu, Yang, 2021. "The impact of geopolitical uncertainty on energy volatility," International Review of Financial Analysis, Elsevier, vol. 75(C).
    13. Demirer, Riza & Pierdzioch, Christian & Zhang, Huacheng, 2017. "On the short-term predictability of stock returns: A quantile boosting approach," Finance Research Letters, Elsevier, vol. 22(C), pages 35-41.
    14. Yilanci, Veli & Kilci, Esra N., 2021. "The role of economic policy uncertainty and geopolitical risk in predicting prices of precious metals: Evidence from a time-varying bootstrap causality test," Resources Policy, Elsevier, vol. 72(C).
    15. Shahzad, Syed Jawad Hussain & Rahman, Md Lutfur & Lucey, Brian M. & Uddin, Gazi Salah, 2021. "Re-examining the real option characteristics of gold for gold mining companies," Resources Policy, Elsevier, vol. 70(C).
    16. Cheng, Sheng & Han, Lingyu & Cao, Yan & Jiang, Qisheng & Liang, Ruibin, 2022. "Gold-oil dynamic relationship and the asymmetric role of geopolitical risks: Evidence from Bayesian pdBEKK-GARCH with regime switching," Resources Policy, Elsevier, vol. 78(C).
    17. Plakandaras, Vasilios & Ji, Qiang, 2022. "Intrinsic decompositions in gold forecasting," Journal of Commodity Markets, Elsevier, vol. 28(C).
    18. Li, Sufang & Tu, Dalun & Zeng, Yan & Gong, Chenggang & Yuan, Di, 2022. "Does geopolitical risk matter in crude oil and stock markets? Evidence from disaggregated data," Energy Economics, Elsevier, vol. 113(C).
    19. Nicholas Apergis & Matteo Bonato & Rangan Gupta & Clement Kyei, 2016. "Does Geopolitical Risks Predict Stock Returns and Volatility of Leading Defense Companies? Evidence from a Nonparametric Approach," Working Papers 201671, University of Pretoria, Department of Economics.
    20. 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).
    21. Mazhar Ummad, 2019. "Terrorism and Firm Performance: Empirical Evidence from Pakistan," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(1), pages 1-17, January.
    22. Christian Pierdzioch & Marian Risse, 2020. "Forecasting precious metal returns with multivariate random forests," Empirical Economics, Springer, vol. 58(3), pages 1167-1184, March.

  57. Christian Pierdzioch & Marian Risse & Rangan Gupta & Wendy Nyakabawo, 2016. "On REIT Returns and (Un-) Expected Inflation: Empirical Evidence Based on Bayesian Additive Regression Trees," Working Papers 201677, University of Pretoria, Department of Economics.

    Cited by:

    1. Das, Mahamitra & Sarkar, Nityananda, 2017. "Re-investigating the anomalous relationship between inflation and equity REIT returns: A regime-switching approach," MPRA Paper 95135, University Library of Munich, Germany, revised 05 Nov 2018.
    2. Christou, Christina & Gupta, Rangan & Nyakabawo, Wendy & Wohar, Mark E., 2018. "Do house prices hedge inflation in the US? A quantile cointegration approach," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 15-26.
    3. Das, Mahamitra & Sarkar, Nityananda, 2019. "Revisiting the Anomalous Relationship between Inflation and REIT Returns in Presence of Structural Breaks: Empirical Evidence from the USA and the UK," MPRA Paper 95130, University Library of Munich, Germany, revised 05 Nov 2019.
    4. Shi, Qi, 2023. "The RP-PCA factors and stock return predictability: An aligned approach," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    5. Bouri, Elie & Nekhili, Ramzi & Kinateder, Harald & Choudhury, Tonmoy, 2023. "Expected inflation and U.S. stock sector indices: A dynamic time-scale tale from inflationary and deflationary crisis periods," Finance Research Letters, Elsevier, vol. 55(PA).

  58. Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch, 2015. "On Exchange-Rate Movements and Gold-Price Fluctuations: Evidence for Gold-Producing Countries from a Nonparametric Causality-in-Quantiles Test," Working Papers 201598, University of Pretoria, Department of Economics.

    Cited by:

    1. 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.
    2. Chang, Tsangyao & Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian, 2019. "Predicting stock market movements with a time-varying consumption-aggregate wealth ratio," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 458-467.
    3. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2019. "Forecasting Realized Gold Volatility: Is there a Role of Geopolitical Risks?," Working Papers 201943, University of Pretoria, Department of Economics.
    4. Ojonugwa Usman & Osama Mohammed Elsalih, 2018. "Testing the Effects of Real Exchange Rate Pass-Through to Unemployment in Brazil," Economies, MDPI, vol. 6(3), pages 1-13, September.
    5. Shahzad, Syed Jawad Hussain & Rahman, Md Lutfur & Lucey, Brian M. & Uddin, Gazi Salah, 2021. "Re-examining the real option characteristics of gold for gold mining companies," Resources Policy, Elsevier, vol. 70(C).
    6. 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).
    7. Rasool Dehghanzadeh Shahabad & Mehmet Balcilar, 2022. "Modelling the Dynamic Interaction between Economic Policy Uncertainty and Commodity Prices in India: The Dynamic Autoregressive Distributed Lag Approach," Mathematics, MDPI, vol. 10(10), pages 1-21, May.
    8. Christian Pierdzioch & Marian Risse, 2020. "Forecasting precious metal returns with multivariate random forests," Empirical Economics, Springer, vol. 58(3), pages 1167-1184, March.

  59. Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch, 2015. "Does Uncertainty Move the Gold Price? New Evidence from a Nonparametric Causality-in-Quantiles Test," Working Papers 201592, University of Pretoria, Department of Economics.

    Cited by:

    1. Refk Selmi & Walid Mensi & Shawkat Hammoudeh & Jamal Bouoiyour, 2018. "Is Bitcoin a hedge, a safe haven or a diversifier for oil price movements? A comparison with gold," Post-Print hal-01879667, HAL.
    2. Asai, Manabu & Gupta, Rangan & McAleer, Michael, 2020. "Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks," International Journal of Forecasting, Elsevier, vol. 36(3), pages 933-948.
    3. Demirer, Riza & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2019. "Time-varying risk aversion and realized gold volatility," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    4. Ming Fang & Chiu-Lan Chang, 2022. "Nexus between fiscal imbalances, green fiscal spending, and green economic growth: empirical findings from E-7 economies," Economic Change and Restructuring, Springer, vol. 55(4), pages 2423-2443, November.
    5. Afees A. Salisu & Rangan Gupta & Sayar Karmakar & Sonali Das, 2021. "Forecasting Output Growth of Advanced Economies Over Eight Centuries: The Role of Gold Market Volatility as a Proxy of Global Uncertainty," Working Papers 202133, University of Pretoria, Department of Economics.
    6. Wael Hemrit, 2022. "Does insurance demand react to economic policy uncertainty and geopolitical risk? Evidence from Saudi Arabia," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(2), pages 460-492, April.
    7. Youssef, Manel & Mokni, Khaled, 2021. "Oil-gold nexus: Evidence from regime switching-quantile regression approach," Resources Policy, Elsevier, vol. 73(C).
    8. Cui, Moyang & Wong, Wing-Keung & Wisetsri, Worakamol & Mabrouk, Fatma & Muda, Iskandar & Li, Zeyun & Hassan, Marria, 2023. "Do oil, gold and metallic price volatilities prove gold as a safe haven during COVID-19 pandemic? Novel evidence from COVID-19 data," Resources Policy, Elsevier, vol. 80(C).
    9. Nikolaos Antonakakis & Mehmet Balcilar & Elie Bouri & Rangan Gupta, 2017. "Is Wine a Safe-Haven? Evidence from a Nonparametric Causality-in-Quantiles Test," Working Papers 201708, University of Pretoria, Department of Economics.
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    1. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    2. Nazemi, Abdolreza & Rezazadeh, Hani & Fabozzi, Frank J. & Höchstötter, Markus, 2022. "Deep learning for modeling the collection rate for third-party buyers," International Journal of Forecasting, Elsevier, vol. 38(1), pages 240-252.
    3. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stephane Surprenant, 2020. "How is Machine Learning Useful for Macroeconomic Forecasting?," Working Papers 20-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Aug 2020.
    4. Tim Meyer, 2019. "On the Directional Accuracy of United States Housing Starts Forecasts: Evidence from Survey Data," The Journal of Real Estate Finance and Economics, Springer, vol. 58(3), pages 457-488, April.
    5. Lauri Nevasalmi, 2022. "Recession forecasting with high‐dimensional data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 752-764, July.
    6. Behrens, Christoph, 2019. "Evaluating the Joint Efficiency of German Trade Forecasts. A nonparametric multivariate approach," Working Papers 9, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    7. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    8. Hwang, Youngjin, 2019. "Forecasting recessions with time-varying models," Journal of Macroeconomics, Elsevier, vol. 62(C).
    9. Jaehyuk Choi & Desheng Ge & Kyu Ho Kang & Sungbin Sohn, 2021. "Yield Spread Selection in Predicting Recession Probabilities: A Machine Learning Approach," Papers 2101.09394, arXiv.org, revised Jan 2022.
    10. Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2019. "Nowcasting New Zealand GDP using machine learning algorithms," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The use of big data analytics and artificial intelligence in central banking, volume 50, Bank for International Settlements.
    11. Vrontos, Spyridon D. & Galakis, John & Vrontos, Ioannis D., 2021. "Modeling and predicting U.S. recessions using machine learning techniques," International Journal of Forecasting, Elsevier, vol. 37(2), pages 647-671.
    12. Shahram Fattahi & Kiomars Sohaili & Hamed Monkaresi & Fatemeh Mehrabi, 2017. "Modelling and Forecasting Recessions in Oil-exporting Countries: The Case of Iran," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 569-574.
    13. Maas, Benedikt, 2019. "Nowcasting and forecasting US recessions: Evidence from the Super Learner," MPRA Paper 96408, University Library of Munich, Germany.
    14. Kajal Lahiri & Cheng Yang, 2021. "Boosting Tax Revenues with Mixed-Frequency Data in the Aftermath of Covid-19: The Case of New York," CESifo Working Paper Series 9365, CESifo.
    15. Buckmann, Marcus & Haldane, Andy & Hüser, Anne-Caroline, 2021. "Comparing minds and machines: implications for financial stability," Bank of England working papers 937, Bank of England.
    16. Gupta, Rangan & Pierdzioch, Christian & Vivian, Andrew J. & Wohar, Mark E., 2019. "The predictive value of inequality measures for stock returns: An analysis of long-span UK data using quantile random forests," Finance Research Letters, Elsevier, vol. 29(C), pages 315-322.
    17. Zihao Wang & Kun Li & Steve Q. Xia & Hongfu Liu, 2021. "Economic Recession Prediction Using Deep Neural Network," Papers 2107.10980, arXiv.org.
    18. Denis Shibitov & Mariam Mamedli, 2021. "Forecasting Russian Cpi With Data Vintages And Machine Learning Techniques," Bank of Russia Working Paper Series wps70, Bank of Russia.
    19. Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2019. "Nowcasting GDP using machine learning algorithms: A real-time assessment," Reserve Bank of New Zealand Discussion Paper Series DP2019/03, Reserve Bank of New Zealand.
    20. Risse, Marian, 2019. "Combining wavelet decomposition with machine learning to forecast gold returns," International Journal of Forecasting, Elsevier, vol. 35(2), pages 601-615.
    21. Bluwstein, Kristina & Buckmann, Marcus & Joseph, Andreas & Kapadia, Sujit & Şimşek, Özgür, 2021. "Credit growth, the yield curve and financial crisis prediction: evidence from a machine learning approach," Working Paper Series 2614, European Central Bank.
    22. Yahia Mutalib Tofiq & Sarmad Dashti Latif & Ali Najah Ahmed & Pavitra Kumar & Ahmed El-Shafie, 2022. "Optimized Model Inputs Selections for Enhancing River Streamflow Forecasting Accuracy Using Different Artificial Intelligence Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 5999-6016, December.
    23. Pierdzioch Christian & Gupta Rangan, 2020. "Uncertainty and Forecasts of U.S. Recessions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-20, September.
    24. Paulino José Garcia Nieto & Esperanza García Gonzalo & Fernando Sanchez Lasheras & Antonio Bernardo Sánchez, 2020. "A Hybrid Predictive Approach for Chromium Layer Thickness in the Hard Chromium Plating Process Based on the Differential Evolution/Gradient Boosted Regression Tree Methodology," Mathematics, MDPI, vol. 8(6), pages 1-20, June.
    25. Marco Taboga, 2019. "Cross-country differences in the size of venture capital financing rounds: a machine learning approach," Temi di discussione (Economic working papers) 1243, Bank of Italy, Economic Research and International Relations Area.
    26. Juan Tenorio & Wilder Perez, 2024. "Monthly GDP nowcasting with Machine Learning and Unstructured Data," Papers 2402.04165, arXiv.org.
    27. Foltas, Alexander, 2023. "Quantifying priorities in business cycle reports: Analysis of recurring textual patterns around peaks and troughs," Working Papers 44, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    28. Christian R. Proaño & Artur Tarassow, 2017. "Evaluating the predicting power of ordered probit models for multiple business cycle phases in the U.S. and Japan," IMK Working Paper 188-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    29. Hui Hu & Jianfeng Zhang & Tao Li, 2021. "A Novel Hybrid Decompose-Ensemble Strategy with a VMD-BPNN Approach for Daily Streamflow Estimating," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(15), pages 5119-5138, December.
    30. Emrich Eike & Pierdzioch Christian, 2016. "Public Goods, Private Consumption, and Human Capital: Using Boosted Regression Trees to Model Volunteer Labour Supply," Review of Economics, De Gruyter, vol. 67(3), pages 263-283, December.
    31. Seulki Chung, 2023. "Real-time Prediction of the Great Recession and the Covid-19 Recession," Papers 2310.08536, arXiv.org, revised Mar 2024.
    32. Behrens, Christoph, 2020. "German trade forecasts since 1970: An evaluation using the panel dimension," Working Papers 26, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    33. Zongxin Zhang & Ying Chen, 2022. "Tail Risk Early Warning System for Capital Markets Based on Machine Learning Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 60(3), pages 901-923, October.
    34. Li Duan & Jingxian Zhou & You Wu & Wenyao Xu, 2022. "A novel and highly efficient botnet detection algorithm based on network traffic analysis of smart systems," International Journal of Distributed Sensor Networks, , vol. 18(3), pages 15501477211, March.
    35. du Plessis, Emile, 2022. "Multinomial modeling methods: Predicting four decades of international banking crises," Economic Systems, Elsevier, vol. 46(2).
    36. Jaehyuk Choi & Desheng Ge & Kyu Ho Kang & Sungbin Sohn, 2023. "Yield spread selection in predicting recession probabilities," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1772-1785, November.
    37. Bosy A. El-Haddad & Ahmed M. Youssef & Hamid R. Pourghasemi & Biswajeet Pradhan & Abdel-Hamid El-Shater & Mohamed H. El-Khashab, 2021. "Flood susceptibility prediction using four machine learning techniques and comparison of their performance at Wadi Qena Basin, Egypt," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(1), pages 83-114, January.
    38. Christian Pierdzioch & Rangan Gupta & Hossein Hassani & Emmanuel Silva, 2018. "Forecasting Changes of Economic Inequality: A Boosting Approach," Working Papers 201868, University of Pretoria, Department of Economics.
    39. Daniel Wochner, 2020. "Dynamic Factor Trees and Forests – A Theory-led Machine Learning Framework for Non-Linear and State-Dependent Short-Term U.S. GDP Growth Predictions," KOF Working papers 20-472, KOF Swiss Economic Institute, ETH Zurich.

  62. Emrich, Eike & Pierdzioch, Christian, 2015. "Public goods, private consumption, and human-capital formation: On the economics of volunteer labour supply," Working Papers of the European Institute for Socioeconomics 14, European Institute for Socioeconomics (EIS), Saarbrücken.

    Cited by:

    1. Palermo Kuss Ana Helena & Neumärker K. J. Bernhard, 2018. "Modelling the Time Allocation Effects of Basic Income," Basic Income Studies, De Gruyter, vol. 13(2), pages 1-15, December.

  63. Rangan Gupta & Christian Pierdzioch & Marian Risse, 2015. "On International Uncertainty Links: BART-Based Empirical Evidence for Canada," Working Papers 201594, University of Pretoria, Department of Economics.

    Cited by:

    1. Jaewon Jung, 2023. "Multinational Firms and Economic Integration: The Role of Global Uncertainty," Sustainability, MDPI, vol. 15(3), pages 1-18, February.
    2. Mehmet Balcilar & Rangan Gupta & Clement Kyei & Mark Wohar, 2015. "Does Economic Policy Uncertainty Predict Exchange Rate Returns and Volatility? Evidence from a Nonparametric Causality-in-Quantiles Test," Working Papers 201599, University of Pretoria, Department of Economics.
    3. Gabauer, David & Gupta, Rangan, 2020. "Spillovers across macroeconomic, financial and real estate uncertainties: A time-varying approach," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 167-173.
    4. Siphumlile Mangisa & Sonali Das & Rangan Gupta, 2022. "Analyzing The Impact Of Brexit On Global Uncertainty Using Functional Linear Regression With Point Of Impact: The Role Of Currency And Equity Markets," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 67(04), pages 1377-1388, June.
    5. Nikolaos Antonakakis & David Gabauer & Rangan Gupta & Vasilios Plakandaras, 2018. "Dynamic Connectedness of Uncertainty across Developed Economies: A Time-Varying Approach," Working Papers 201802, University of Pretoria, Department of Economics.
    6. Trung, Nguyen Ba, 2019. "The spillover effects of US economic policy uncertainty on the global economy: A global VAR approach," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 90-110.
    7. Christou, Christina & Gupta, Rangan & Hassapis, Christis, 2017. "Does economic policy uncertainty forecast real housing returns in a panel of OECD countries? A Bayesian approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 50-60.
    8. Helena Chuliá & Rangan Gupta & Jorge M. Uribe & Mark E. Wohar, 2016. "Impact of US Uncertainties on Emerging and Mature Markets: Evidence from a Quantile-Vector Autoregressive Approach," Working Papers 201656, University of Pretoria, Department of Economics.
    9. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2021. "Uncertainty and Forecastability of Regional Output Growth in the United Kingdom: Evidence from Machine Learning," Working Papers 202111, University of Pretoria, Department of Economics.
    10. Gupta, Rangan & Lau, Chi-Keung (Marco) & Sheng, Xin, 2020. "Graph theory-based network analysis of regional uncertainties of the US Economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    11. Rangan Gupta & Chi Keung Marco Lau & Mark E. Wohar, 2016. "The Impact of US Uncertainty on the Euro Area in Good and Bad Times: Evidence from a Quantile Structural Vector Autoregressive Model," Working Papers 201681, University of Pretoria, Department of Economics.
    12. Christina Christou & Giray Gozgor & Rangan Gupta & Chi keung Marco Lau, 2020. "Are Uncertainties across the World Convergent?," Economics Bulletin, AccessEcon, vol. 40(1), pages 855-862.
    13. David Gabauer & Rangan Gupta, 2018. "On the Transmission Mechanism of Country-Specific and International Economic Uncertainty Spillovers: Evidence from a TVP-VAR Connectedness Decomposition Approach," Working Papers 201829, University of Pretoria, Department of Economics.
    14. Christian Pierdzioch & Marian Risse & Rangan Gupta & Wendy Nyakabawo, 2016. "On REIT Returns and (Un-) Expected Inflation: Empirical Evidence Based on Bayesian Additive Regression Trees," Working Papers 201677, University of Pretoria, Department of Economics.
    15. Śmiech, Sławomir & Papież, Monika & Shahzad, Syed Jawad Hussain, 2020. "Spillover among financial, industrial and consumer uncertainties. The case of EU member states," International Review of Financial Analysis, Elsevier, vol. 70(C).
    16. Gupta, Rangan & Sun, Xiaojin, 2020. "Forecasting economic policy uncertainty of BRIC countries using Bayesian VARs," Economics Letters, Elsevier, vol. 186(C).
    17. Sun, Xiaolei & Yao, Xiaoyang & Wang, Jun, 2017. "Dynamic interaction between economic policy uncertainty and financial stress: A multi-scale correlation framework," Finance Research Letters, Elsevier, vol. 21(C), pages 214-221.
    18. Rangan Gupta & Chi Keung Marco Lau & Jacobus A Nel & Xin Sheng, 2020. "Monetary Policy Uncertainty Spillovers in Time- and Frequency-Domains," Working Papers 202005, University of Pretoria, Department of Economics.
    19. Rangan Gupta & Chi-Keung (Marco) Lau & Xin Sheng, 2019. "Macroeconomic Uncertainty Connections across the US States: Evidence from a Bayesian Graphical Structural VAR (BGSVAR) Model," Working Papers 201910, University of Pretoria, Department of Economics.
    20. Śmiech, Sławomir & Papież, Monika, 2018. "Volatility spillovers among uncertainty measures. The case of EU member states," MPRA Paper 90319, University Library of Munich, Germany.
    21. Genc, Ismail H., 2022. "Are Indian Subcontinent remittance markets connected to each other?," Journal of Asian Economics, Elsevier, vol. 80(C).
    22. Massaporn Cheuathonghua & Chaiyuth Padungsaksawasdi & Pattana Boonchoo & Jittima Tongurai, 2019. "Extreme spillovers of VIX fear index to international equity markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(1), pages 1-38, March.

  64. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions in Germany With Boosted Regression Trees," Macroeconomics and Finance Series 201505, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stephane Surprenant, 2020. "How is Machine Learning Useful for Macroeconomic Forecasting?," Working Papers 20-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Aug 2020.
    2. Shahram Fattahi & Kiomars Sohaili & Hamed Monkaresi & Fatemeh Mehrabi, 2017. "Modelling and Forecasting Recessions in Oil-exporting Countries: The Case of Iran," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 569-574.
    3. Christian R. Proaño & Artur Tarassow, 2017. "Evaluating the predicting power of ordered probit models for multiple business cycle phases in the U.S. and Japan," IMK Working Paper 188-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    4. Emrich Eike & Pierdzioch Christian, 2016. "Public Goods, Private Consumption, and Human Capital: Using Boosted Regression Trees to Model Volunteer Labour Supply," Review of Economics, De Gruyter, vol. 67(3), pages 263-283, December.
    5. Daniel Wochner, 2020. "Dynamic Factor Trees and Forests – A Theory-led Machine Learning Framework for Non-Linear and State-Dependent Short-Term U.S. GDP Growth Predictions," KOF Working papers 20-472, KOF Swiss Economic Institute, ETH Zurich.

  65. Pierdzioch, Christian & Emrich, Eike, 2014. "Zivilgesellschaftliches Engagement im Lebenszyklus," Working Papers of the European Institute for Socioeconomics 6, European Institute for Socioeconomics (EIS), Saarbrücken.

    Cited by:

    1. Pierdzioch, Christian & Emrich, Eike, 2014. "Internet und die Bindung Ehrenamtlicher am Beispiel des Deutschen Roten Kreuzes," Working Papers of the European Institute for Socioeconomics 5, European Institute for Socioeconomics (EIS), Saarbrücken.

  66. Christian Pierdzioch & Monique B. Reid & Rangan Gupta, 2014. "On the Directional Accuracy of Inflation Forecasts: Evidence from South African Survey Data," Working Papers 201463, University of Pretoria, Department of Economics.

    Cited by:

    1. Mr. Ken Miyajima & James Yetman, 2018. "Inflation Expectations Anchoring Across Different Types of Agents: the Case of South Africa," IMF Working Papers 2018/177, International Monetary Fund.
    2. Christian Pierdzioch & Monique B. Reid & Rangan Gupta, 2014. "Forecasting the South African Inflation Rate: On Asymmetric Loss and Forecast Rationality," Working Papers 201475, University of Pretoria, Department of Economics.
    3. Behrens, Christoph & Pierdzioch, Christian & Risse, Marian, 2018. "Testing the optimality of inflation forecasts under flexible loss with random forests," Economic Modelling, Elsevier, vol. 72(C), pages 270-277.
    4. Maas, Benedikt, 2019. "Nowcasting and forecasting US recessions: Evidence from the Super Learner," MPRA Paper 96408, University Library of Munich, Germany.
    5. Pierdzioch Christian & Gupta Rangan, 2020. "Uncertainty and Forecasts of U.S. Recessions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-20, September.
    6. Weiling Liu & Emanuel Moench, 2014. "What predicts U.S. recessions?," Staff Reports 691, Federal Reserve Bank of New York.
    7. Babalos, Vassilios & Stavroyiannis, Stavros & Gupta, Rangan, 2015. "Do commodity investors herd? Evidence from a time-varying stochastic volatility model," Resources Policy, Elsevier, vol. 46(P2), pages 281-287.

  67. Emrich, Eike & Pierdzioch, Christian & Pitsch, Werner, 2014. "Die "Marke" Olympia und die besondere Bedeutung von Vertrauenskriterien: Eine Geschichte von Markt, Macht und Moral," Working Papers of the European Institute for Socioeconomics 11, European Institute for Socioeconomics (EIS), Saarbrücken.

    Cited by:

    1. Richau Lukas & Emrich Eike & Follert Florian, 2019. "Quid Pro Quo! Organization Theoretical Remarks about FIFA’s Legitimacy Under Blatter and Infantino," The Economists' Voice, De Gruyter, vol. 16(1), pages 1-9, December.
    2. Herrmann, Konstantin & Emrich, Eike & Frenger, Monika & Rasche, Christoph, 2018. "First step developing a early-warning system against corruption for sports associations," Working Papers of the European Institute for Socioeconomics 24, European Institute for Socioeconomics (EIS), Saarbrücken.
    3. Haut, Jan, 2016. "International prestige through sporting success? Searching empirical evidence," Working Papers of the European Institute for Socioeconomics 17, European Institute for Socioeconomics (EIS), Saarbrücken.

  68. Christian Pierdzioch & Monique B. Reid & Rangan Gupta, 2014. "Inflation Forecasts and Forecaster Herding: Evidence from South African Survey Data," Working Papers 201455, University of Pretoria, Department of Economics.

    Cited by:

    1. Demirer, Riza & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2019. "Time-varying risk aversion and realized gold volatility," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    2. Michael Pedersen, 2020. "Surveying the survey: What can we learn about the effects of monetary policy on inflation expectations?," Working Papers Central Bank of Chile 889, Central Bank of Chile.
    3. Christian Pierdzioch & Monique B. Reid & Rangan Gupta, 2014. "Forecasting the South African Inflation Rate: On Asymmetric Loss and Forecast Rationality," Working Papers 201475, University of Pretoria, Department of Economics.
    4. Christian Pierdzioch & Monique B. Reid & Rangan Gupta, 2014. "On the Directional Accuracy of Inflation Forecasts: Evidence from South African Survey Data," Working Papers 201463, University of Pretoria, Department of Economics.
    5. Meade, Nigel & Driver, Ciaran, 2023. "Differing behaviours of forecasters of UK GDP growth," International Journal of Forecasting, Elsevier, vol. 39(2), pages 772-790.
    6. Young Bin Ahn & Yoichi Tsuchiya, 2016. "Directional analysis of consumers’ forecasts of inflation in a small open economy: evidence from South Korea," Applied Economics, Taylor & Francis Journals, vol. 48(10), pages 854-864, February.
    7. Şule GÜNDÜZ & Seçkin YILDIRIM & Mübeccel Banu DURUKAN, 2020. "An Investigation of the Factors Affecting Inflation Perceptions: A Case Study on Business and Economics Undergraduate Students Abstract: The aim of this study is to investigate the factors behind the ," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(45).
    8. John B. Broughton & Bento J. Lobo, 2018. "Herding and anchoring in macroeconomic forecasts: the case of the PMI," Empirical Economics, Springer, vol. 55(3), pages 1337-1355, November.
    9. Christoph Buehren & Tim Meyer & Christian Pierdzioch, 2020. "Experimental Evidence on Forecaster (anti-) Herding in Sports Markets," MAGKS Papers on Economics 202038, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

  69. Pierdzioch, Christian & Reitz, Stefan & Ruelke, Jan-Christoph, 2014. "Heterogeneous Forecasters and Nonlinear Expectation Formation in the U.S. Stock Market," FinMaP-Working Papers 11, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.

    Cited by:

    1. Zhenxi Chen & Stefan Reitz, 2020. "Dynamics of the European sovereign bonds and the identification of crisis periods," Empirical Economics, Springer, vol. 58(6), pages 2761-2781, June.

  70. Christian Pierdzioch & Monique B. Reid & Rangan Gupta, 2014. "Forecasting the South African Inflation Rate: On Asymmetric Loss and Forecast Rationality," Working Papers 201475, University of Pretoria, Department of Economics.

    Cited by:

    1. Behrens, Christoph & Pierdzioch, Christian & Risse, Marian, 2018. "Testing the optimality of inflation forecasts under flexible loss with random forests," Economic Modelling, Elsevier, vol. 72(C), pages 270-277.
    2. Christoph Behrens, 2019. "A Nonparametric Evaluation of the Optimality of German Export and Import Growth Forecasts under Flexible Loss," Economies, MDPI, vol. 7(3), pages 1-23, September.
    3. Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021. "The Rationality of USDA Forecasts under Multivariate Asymmetric Loss," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
    4. Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016. "Inflation forecasts and forecaster herding: Evidence from South African survey data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 62(C), pages 42-50.

  71. Pierdzioch, Christian & Emrich, Eike, 2014. "Internet und die Bindung Ehrenamtlicher am Beispiel des Deutschen Roten Kreuzes," Working Papers of the European Institute for Socioeconomics 5, European Institute for Socioeconomics (EIS), Saarbrücken.

    Cited by:

    1. Hämmerle, Martin & Rullang, Christian & Pierdzioch, Christian & Emrich, Eike, 2014. "Die Sozialfigur des Ehrenamtlichen im Roten Kreuz - Ergebnisse einer vergleichenden empirischen Untersuchung," Working Papers of the European Institute for Socioeconomics 8, European Institute for Socioeconomics (EIS), Saarbrücken.

  72. 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.

    Cited by:

    1. 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.
    2. Demirer, Riza & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2019. "Time-varying risk aversion and realized gold volatility," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    3. 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.
    4. Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian & Wohar, Mark E., 2017. "Do terror attacks predict gold returns? Evidence from a quantile-predictive-regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 276-284.
    5. 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.
    6. 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.
    7. Le, Thai-Ha & Chang, Youngho, 2016. "Dynamics between strategic commodities and financial variables: Evidence from Japan," Resources Policy, Elsevier, vol. 50(C), pages 1-9.
    8. 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).
    9. 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.
    10. Shahbaz, Muhammad & Balcilar, Mehmet & Abidin Ozdemir, Zeynel, 2017. "Does oil predict gold? A nonparametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 52(C), pages 257-265.
    11. Zhou, Ying-Zhe & Huang, Jian-Bai & Chen, Jin-Yu, 2019. "Time-varying effect of the financialization of nonferrous metals markets on China's industrial sector," Resources Policy, Elsevier, vol. 64(C).
    12. Chen, Jinyu & Zhu, Xuehong & Zhong, Meirui, 2019. "Nonlinear effects of financial factors on fluctuations in nonferrous metals prices: A Markov-switching VAR analysis," Resources Policy, Elsevier, vol. 61(C), pages 489-500.

  73. Rülke, Jan-Christoph & Pierdzioch, Christian, 2014. "Government Forecasts of Budget Balances Under Asymmetric Loss: International Evidence," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100317, Verein für Socialpolitik / German Economic Association.

    Cited by:

    1. Giovannelli, Alessandro & Pericoli, Filippo Maria, 2020. "Are GDP forecasts optimal? Evidence on European countries," International Journal of Forecasting, Elsevier, vol. 36(3), pages 963-973.

  74. Christian Pierdzioch & Jan-Christoph Rülke & Peter Tillmann, 2013. "Using forecasts to uncover the loss function of FOMC members," MAGKS Papers on Economics 201302, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

    Cited by:

    1. El-Shagi, Makram & Jung, Alexander, 2015. "Does the Greenspan era provide evidence on leadership in the FOMC?," Journal of Macroeconomics, Elsevier, vol. 43(C), pages 173-190.
    2. Sheng, Xuguang (Simon), 2015. "Evaluating the economic forecasts of FOMC members," International Journal of Forecasting, Elsevier, vol. 31(1), pages 165-175.

  75. Flatau, Jens & Emrich, Eike & Pierdzioch, Christian, 2013. "Zur empirischen Prüfbarkeit des homo (socio-)oeconomicus anhand der Messung der Motive ehrenamtlichen Engagements in Sportvereinen," Working Papers of the European Institute for Socioeconomics 2, European Institute for Socioeconomics (EIS), Saarbrücken.

    Cited by:

    1. Pierdzioch, Christian & Emrich, Eike, 2014. "Internet und die Bindung Ehrenamtlicher am Beispiel des Deutschen Roten Kreuzes," Working Papers of the European Institute for Socioeconomics 5, European Institute for Socioeconomics (EIS), Saarbrücken.

  76. Emrich, Eike & Pierdzioch , Christian & Rullang, Christian, 2013. "Zwischen Ermessensfreiheit und diskretionären Spielräumen: Die Finanzierung des bundesdeutschen Spitzensports – eine Wiederholungsstudie," Working Paper 134/2013, Helmut Schmidt University, Hamburg.

    Cited by:

    1. Herrmann, Konstantin & Emrich, Eike & Frenger, Monika & Rasche, Christoph, 2018. "First step developing a early-warning system against corruption for sports associations," Working Papers of the European Institute for Socioeconomics 24, European Institute for Socioeconomics (EIS), Saarbrücken.

  77. Flatau, Jens & Emrich, Eike & Pierdzioch, Christian, 2012. "Zum zeitlichen Umfang ehrenamtlichen Engagements in Sportvereinen – sozioökonomische Modellbildung und empirische Prüfung," Working Paper 122/2012, Helmut Schmidt University, Hamburg.

    Cited by:

    1. Hallmann, Kirstin, 2015. "Modelling the decision to volunteer in organised sports," Sport Management Review, Elsevier, vol. 18(3), pages 448-463.

  78. Emrich, Eike & Pierdzioch, Christian, 2012. "A Note on the International Coordination of Anti-Doping Policies," Working Paper 126/2012, Helmut Schmidt University, Hamburg.

    Cited by:

    1. Berno Buechel & Eike Emrich & Stefanie Pohlkamp, 2016. "Nobody’s Innocent," Journal of Sports Economics, , vol. 17(8), pages 767-789, December.

  79. Pierdzioch, Christian & Rülke, Jan Christoph & Stadtmann, Georg, 2012. "Housing starts in Canada, Japan, and the United States: Do forecasters herd?," Discussion Papers 320, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.

    Cited by:

    1. Tim Meyer, 2019. "On the Directional Accuracy of United States Housing Starts Forecasts: Evidence from Survey Data," The Journal of Real Estate Finance and Economics, Springer, vol. 58(3), pages 457-488, April.
    2. Dimitrios Papastamos & Fotis Mouzakis & Simon Stevenson, 2014. "Rationality and Momentum in Real Estate Investment Forecasts," Real Estate & Planning Working Papers rep-wp2014-07, Henley Business School, University of Reading.
    3. Michael P. Clements, 2018. "Do Macroforecasters Herd?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(2-3), pages 265-292, March.
    4. Papastamos, Dimitrios & Matysiak, George & Stevenson, Simon, 2015. "Assessing the accuracy and dispersion of real estate investment forecasts," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 141-152.

  80. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "A note on forecasting emerging market exchange rates: Evidence of anti-herding," Discussion Papers 324, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.

    Cited by:

    1. Rybacki Jakub, 2020. "Macroeconomic forecasting in Poland: The role of forecasting competitions," Central European Economic Journal, Sciendo, vol. 7(54), pages 1-11, January.
    2. Fritsche, Ulrich & Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Forecasting the Brazilian real and the Mexican peso: Asymmetric loss, forecast rationality, and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 130-139.
    3. Tsuchiya, Yoichi, 2015. "Herding behavior and loss functions of exchange rate forecasters over interventions and financial crises," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 266-276.
    4. Yoichi Tsuchiya, 2021. "Crises, market shocks, and herding behavior in stock price forecasts," Empirical Economics, Springer, vol. 61(2), pages 919-945, August.
    5. Lukas Richau & Florian Follert & Monika Frenger & Eike Emrich, 2021. "The sky is the limit?! Evaluating the existence of a speculative bubble in European football," Journal of Business Economics, Springer, vol. 91(6), pages 765-796, August.
    6. Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016. "Inflation forecasts and forecaster herding: Evidence from South African survey data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 62(C), pages 42-50.
    7. Hamid Baghestani & Liliana Danila, 2014. "Interest Rate and Exchange Rate Forecasting in the Czech Republic: Do Analysts Know Better than a Random Walk?," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(4), pages 282-295, September.
    8. Xolani Sibande & Rangan Gupta & Riza Demirer & Elie Bouri, 2023. "Investor Sentiment and (Anti) Herding in the Currency Market: Evidence from Twitter Feed Data," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 24(1), pages 56-72, January.
    9. Michael P. Clements, 2018. "Do Macroforecasters Herd?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(2-3), pages 265-292, March.
    10. Pierdzioch, Christian & Rülke, Jan-Christoph, 2015. "On the directional accuracy of forecasts of emerging market exchange rates," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 369-376.
    11. Frenkel, Michael & Mauch, Matthias & Rülke, Jan-Christoph, 2020. "Do forecasters of major exchange rates herd?," Economic Modelling, Elsevier, vol. 84(C), pages 214-221.
    12. Christoph Buehren & Tim Meyer & Christian Pierdzioch, 2020. "Experimental Evidence on Forecaster (anti-) Herding in Sports Markets," MAGKS Papers on Economics 202038, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

  81. 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.

    Cited by:

    1. Gonzalo Cortazar & Cristobal Millard & Hector Ortega & Eduardo S. Schwartz, 2016. "Commodity Price Forecasts, Futures Prices and Pricing Models," NBER Working Papers 22991, National Bureau of Economic Research, Inc.
    2. Demirer, Rıza & Lee, Hsiang-Tai & Lien, Donald, 2015. "Does the stock market drive herd behavior in commodity futures markets?," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 32-44.
    3. Antonakakis, Nikolaos & Kizys, Renatas, 2015. "Dynamic spillovers between commodity and currency markets," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 303-319.
    4. Humayun Kabir, M. & Shakur, Shamim, 2018. "Regime-dependent herding behavior in Asian and Latin American stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 47(C), pages 60-78.
    5. Yoichi Tsuchiya, 2021. "Crises, market shocks, and herding behavior in stock price forecasts," Empirical Economics, Springer, vol. 61(2), pages 919-945, August.
    6. Cortazar, Gonzalo & Ortega, Hector & Rojas, Maximiliano & Schwartz, Eduardo S., 2021. "Commodity index risk premium," Journal of Commodity Markets, Elsevier, vol. 22(C).
    7. Cummins, Mark & Dowling, Michael & Lucey, Brian M., 2015. "Behavioral influences in non-ferrous metals prices," Resources Policy, Elsevier, vol. 45(C), pages 9-22.
    8. R?za Demirer & Hsiang-Tai Lee & Donald Lien, 2013. "Commodity Financialization and Herd Behavior in Commodity Futures Markets," Working Papers 0221fin, College of Business, University of Texas at San Antonio.
    9. Yip, Pick Schen & Brooks, Robert & Do, Hung Xuan, 2017. "Dynamic spillover between commodities and commodity currencies during United States Q.E," Energy Economics, Elsevier, vol. 66(C), pages 399-410.
    10. 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.
    11. Stavroyiannis, Stavros & Babalos, Vassilios & Bekiros, Stelios & Lahmiri, Salim, 2019. "Is anti-herding behavior spurious?," Finance Research Letters, Elsevier, vol. 29(C), pages 379-383.
    12. Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016. "Inflation forecasts and forecaster herding: Evidence from South African survey data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 62(C), pages 42-50.
    13. Filiz, Ibrahim & Nahmer, Thomas & Spiwoks, Markus, 2019. "Herd behavior and mood: An experimental study on the forecasting of share prices," Journal of Behavioral and Experimental Finance, Elsevier, vol. 24(C).
    14. Stavroyiannis, Stavros & Babalos, Vassilios, 2019. "Herding behavior in cryptocurrencies revisited: Novel evidence from a TVP model," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 57-63.
    15. Babalos, Vassilios & Stavroyiannis, Stavros & Gupta, Rangan, 2015. "Do commodity investors herd? Evidence from a time-varying stochastic volatility model," Resources Policy, Elsevier, vol. 46(P2), pages 281-287.
    16. Meade, Nigel & Driver, Ciaran, 2023. "Differing behaviours of forecasters of UK GDP growth," International Journal of Forecasting, Elsevier, vol. 39(2), pages 772-790.
    17. 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).
    18. Youssef, Mouna & Mokni, Khaled, 2018. "On the effect of herding behavior on dependence structure between stock markets: Evidence from GCC countries," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 52-63.
    19. Galariotis, Emilios C. & Krokida, Styliani-Iris & Spyrou, Spyros I., 2016. "Bond market investor herding: Evidence from the European financial crisis," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 367-375.
    20. Aytaç, Beysül & Coqueret, Guillaume & Mandou, Cyrille, 2018. "Herding behavior among wine investors," Economic Modelling, Elsevier, vol. 68(C), pages 318-328.
    21. Christoph Buehren & Tim Meyer & Christian Pierdzioch, 2020. "Experimental Evidence on Forecaster (anti-) Herding in Sports Markets," MAGKS Papers on Economics 202038, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    22. 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.
    23. Agyei-Ampomah, Sam & Gounopoulos, Dimitrios & Mazouz, Khelifa, 2014. "Does gold offer a better protection against losses in sovereign debt bonds than other metals?," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 507-521.
    24. 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).

  82. Christian , Pierdzioch & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "Forecasting U.S. Housing Starts Under Asymmetric Loss," Working Paper 118/2012, Helmut Schmidt University, Hamburg.

    Cited by:

    1. Tim Meyer, 2019. "On the Directional Accuracy of United States Housing Starts Forecasts: Evidence from Survey Data," The Journal of Real Estate Finance and Economics, Springer, vol. 58(3), pages 457-488, April.
    2. Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021. "The Rationality of USDA Forecasts under Multivariate Asymmetric Loss," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
    3. Dimitrios Papastamos & Fotis Mouzakis & Simon Stevenson, 2014. "Rationality and Momentum in Real Estate Investment Forecasts," Real Estate & Planning Working Papers rep-wp2014-07, Henley Business School, University of Reading.

  83. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "Oil price forecasting under asymmetric loss," Discussion Papers 314, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.

    Cited by:

    1. Gogolev, Stepan & Ozhegov, Evgeniy, 2023. "Asymmetric loss function in product-level sales forecasting: An empirical comparison," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 70, pages 109-121.
    2. Gonzalo Cortazar & Cristobal Millard & Hector Ortega & Eduardo S. Schwartz, 2016. "Commodity Price Forecasts, Futures Prices and Pricing Models," NBER Working Papers 22991, National Bureau of Economic Research, Inc.
    3. Patrick Schmidt & Matthias Katzfuss & Tilmann Gneiting, 2021. "Interpretation of point forecasts with unknown directive," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 728-743, September.
    4. Mamatzakis, E. & Koutsomanoli-Filippaki, A., 2014. "Testing the rationality of DOE's energy price forecasts under asymmetric loss preferences," Energy Policy, Elsevier, vol. 68(C), pages 567-575.
    5. Shangkun Deng & Akito Sakurai, 2014. "Crude Oil Spot Price Forecasting Based on Multiple Crude Oil Markets and Timeframes," Energies, MDPI, vol. 7(5), pages 1-19, April.
    6. Giovannelli, Alessandro & Pericoli, Filippo Maria, 2020. "Are GDP forecasts optimal? Evidence on European countries," International Journal of Forecasting, Elsevier, vol. 36(3), pages 963-973.

  84. Ulrich Fritsche & Christian Pierdzioch & Jan-Christoph Ruelke & Georg Stadtmann, 2012. "Forecasting the Brazilian Real and the Mexican Peso: Asymmetric Loss, Forecast Rationality, and Forecaster Herding," Macroeconomics and Finance Series 201202, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Pierdzioch, Christian & Rülke, Jan-Christoph, 2013. "Do inflation targets anchor inflation expectations?," Economic Modelling, Elsevier, vol. 35(C), pages 214-223.
    2. Joscha Beckmann & Robert L. Czudaj, 2022. "Exchange rate expectation, abnormal returns, and the COVID-19 pandemic," Chemnitz Economic Papers 054, Department of Economics, Chemnitz University of Technology, revised Jan 2022.
    3. Christian Pierdzioch & Monique B. Reid & Rangan Gupta, 2014. "Forecasting the South African Inflation Rate: On Asymmetric Loss and Forecast Rationality," Working Papers 201475, University of Pretoria, Department of Economics.
    4. Behrens, Christoph & Pierdzioch, Christian & Risse, Marian, 2018. "Testing the optimality of inflation forecasts under flexible loss with random forests," Economic Modelling, Elsevier, vol. 72(C), pages 270-277.
    5. Patrick Schmidt & Matthias Katzfuss & Tilmann Gneiting, 2021. "Interpretation of point forecasts with unknown directive," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 728-743, September.
    6. 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.
    7. Charemza, Wojciech & Ladley, Daniel, 2016. "Central banks’ forecasts and their bias: Evidence, effects and explanation," International Journal of Forecasting, Elsevier, vol. 32(3), pages 804-817.
    8. Demetrescu, Matei & Hacıoğlu Hoke, Sinem, 2019. "Predictive regressions under asymmetric loss: Factor augmentation and model selection," International Journal of Forecasting, Elsevier, vol. 35(1), pages 80-99.
    9. Christoph Behrens, 2019. "A Nonparametric Evaluation of the Optimality of German Export and Import Growth Forecasts under Flexible Loss," Economies, MDPI, vol. 7(3), pages 1-23, September.
    10. Tsuchiya, Yoichi, 2015. "Herding behavior and loss functions of exchange rate forecasters over interventions and financial crises," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 266-276.
    11. Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021. "The Rationality of USDA Forecasts under Multivariate Asymmetric Loss," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
    12. Yoichi Tsuchiya, 2022. "Evaluating plant managers’ production plans over business cycles: asymmetric loss and rationality," SN Business & Economics, Springer, vol. 2(8), pages 1-29, August.
    13. Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016. "Inflation forecasts and forecaster herding: Evidence from South African survey data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 62(C), pages 42-50.
    14. Tsuchiya, Yoichi, 2016. "Asymmetric loss and rationality of Chinese renminbi forecasts: An implication for the trade between China and the US," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 116-127.
    15. Fildes, Robert, 2015. "Forecasters and rationality—A comment on Fritsche et al., Forecasting the Brazilian Real and Mexican Peso: Asymmetric loss, forecast rationality and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 140-143.
    16. Michael Frenkel & Jin-Kyu Jung & Jan-Christoph Rülke, 2017. "Rationalizing the Bias in Central Banks' Interest Rate Projections," WHU Working Paper Series - Economics Group 17-03, WHU - Otto Beisheim School of Management.
    17. Michael Frenkel & Jin-Kyu Jung & Jan-Christoph Rülke, 2022. "Testing for the rationality of central bank interest rate forecasts," Empirical Economics, Springer, vol. 62(3), pages 1037-1078, March.
    18. 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.
    19. Goldstein, Nathan & Zilberfarb, Ben-Zion, 2021. "Do forecasters really care about consensus?," Economic Modelling, Elsevier, vol. 100(C).
    20. Pierdzioch, Christian & Rülke, Jan-Christoph, 2015. "On the directional accuracy of forecasts of emerging market exchange rates," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 369-376.
    21. Kiss, Tamás & Kladívko, Kamil & Silfverberg, Oliwer & Österholm, Pär, 2023. "Market participants or the random walk – who forecasts better? Evidence from micro-level survey data," Finance Research Letters, Elsevier, vol. 54(C).
    22. Frenkel, Michael & Mauch, Matthias & Rülke, Jan-Christoph, 2020. "Do forecasters of major exchange rates herd?," Economic Modelling, Elsevier, vol. 84(C), pages 214-221.
    23. Christoph Buehren & Tim Meyer & Christian Pierdzioch, 2020. "Experimental Evidence on Forecaster (anti-) Herding in Sports Markets," MAGKS Papers on Economics 202038, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

  85. Jan Christoph Ruelke & Christian Pierdzioch & Georg Stadtmann, 2011. "On the Internal Consistency of Short-Term, Medium-Term, and Long-Term Oil Price Forecasts," Post-Print hal-00708542, HAL.

    Cited by:

    1. Pierdzioch, Christian & Rülke, Jan-Christoph, 2013. "Do inflation targets anchor inflation expectations?," Economic Modelling, Elsevier, vol. 35(C), pages 214-223.
    2. Frederik Kunze, 2020. "Predicting exchange rates in Asia: New insights on the accuracy of survey forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 313-333, March.

  86. Christian Pierdzioch & Jan-Christoph Rülke & Georg Stadtmann, 2010. "New Evidence of Anti-Herding of Oil-Price Forecasters," WHU Working Paper Series - Economics Group 10-04, WHU - Otto Beisheim School of Management.

    Cited by:

    1. Gonzalo Cortazar & Cristobal Millard & Hector Ortega & Eduardo S. Schwartz, 2016. "Commodity Price Forecasts, Futures Prices and Pricing Models," NBER Working Papers 22991, National Bureau of Economic Research, Inc.
    2. Bohl, Martin T. & Klein, Arne C. & Siklos, Pierre L., 2014. "Short-selling bans and institutional investors' herding behaviour: Evidence from the global financial crisis," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 262-269.
    3. Demirer, Rıza & Lee, Hsiang-Tai & Lien, Donald, 2015. "Does the stock market drive herd behavior in commodity futures markets?," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 32-44.
    4. R?za Demirer & Hsiang-Tai Lee & Donald Lien, 2013. "Commodity Financialization and Herd Behavior in Commodity Futures Markets," Working Papers 0221fin, College of Business, University of Texas at San Antonio.
    5. Michael P Clements, 2014. "Assessing the Evidence of Macro- Forecaster Herding: Forecasts of Inflation and Output Growth," ICMA Centre Discussion Papers in Finance icma-dp2014-12, Henley Business School, University of Reading.
    6. Christian Pierdzioch & Jan-Christoph Rülke, 2013. "A note on the anti-herding instinct of interest rate forecasters," Empirical Economics, Springer, vol. 45(2), pages 665-673, October.
    7. Christian Pierdzioch & Jan-Christoph Rülke & Georg Stadtmann, 2012. "Housing Starts in Canada, Japan, and the United States: Do Forecasters Herd?," The Journal of Real Estate Finance and Economics, Springer, vol. 45(3), pages 754-773, October.
    8. Shangkun Deng & Akito Sakurai, 2014. "Crude Oil Spot Price Forecasting Based on Multiple Crude Oil Markets and Timeframes," Energies, MDPI, vol. 7(5), pages 1-19, April.
    9. Georg Stadtmann & Christian Pierdzioch & Jan Ruelke, 2011. "Scattered Fiscal Forecasts," Economics Bulletin, AccessEcon, vol. 31(3), pages 2558-2568.
    10. Mehmet Balcilar & Riza Demirer & Talat Ulussever, 2016. "Does speculation in the oil market drive investor herding in net exporting nations?," Working Papers 15-29, Eastern Mediterranean University, Department of Economics.
    11. Frenkel, Michael & Rülke, Jan-Christoph & Zimmermann, Lilli, 2013. "Do private sector forecasters chase after IMF or OECD forecasts?," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 217-229.
    12. Leppin, Julian Sebstian, 2014. "The Relation Between Overreaction in Forecasts and Uncertainty: A Nonlinear Approach," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100284, Verein für Socialpolitik / German Economic Association.
    13. Fildes, Robert, 2015. "Forecasters and rationality—A comment on Fritsche et al., Forecasting the Brazilian Real and Mexican Peso: Asymmetric loss, forecast rationality and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 140-143.
    14. Atalla, Tarek & Joutz, Fred & Pierru, Axel, 2016. "Does disagreement among oil price forecasters reflect volatility? Evidence from the ECB surveys," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1178-1192.
    15. Leppin, Julian Sebastian, 2014. "The relation between overreaction in forecasts and uncertainty: A nonlinear approachvon," HWWI Research Papers 158, Hamburg Institute of International Economics (HWWI).
    16. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2011. "Forecasting U.S. car sales and car registrations in Japan: Rationality, accuracy and herding," Japan and the World Economy, Elsevier, vol. 23(4), pages 253-258.
    17. Babalos, Vassilios & Stavroyiannis, Stavros & Gupta, Rangan, 2015. "Do commodity investors herd? Evidence from a time-varying stochastic volatility model," Resources Policy, Elsevier, vol. 46(P2), pages 281-287.
    18. Balcılar, Mehmet & Demirer, Rıza & Ulussever, Talat, 2017. "Does speculation in the oil market drive investor herding in emerging stock markets?," Energy Economics, Elsevier, vol. 65(C), pages 50-63.
    19. Christian Pierdzioch & Jan Christoph Rülke & Georg Stadtmann, 2012. "House Price Forecasts, Forecaster Herding, and the Recent Crisis," IJFS, MDPI, vol. 1(1), pages 1-14, November.
    20. Meade, Nigel & Driver, Ciaran, 2023. "Differing behaviours of forecasters of UK GDP growth," International Journal of Forecasting, Elsevier, vol. 39(2), pages 772-790.
    21. Pierdzioch, Christian & Rülke, Jan-Christoph, 2012. "Forecasting stock prices: Do forecasters herd?," Economics Letters, Elsevier, vol. 116(3), pages 326-329.
    22. Tillmann, Peter, 2011. "Strategic forecasting on the FOMC," European Journal of Political Economy, Elsevier, vol. 27(3), pages 547-553, September.
    23. Rülke Jan-Christoph, 2012. "Do Private Sector Forecasters Desire to Deviate From the German Council of Economic Experts?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(4), pages 414-428, August.
    24. Cortazar, Gonzalo & Ortega, Hector & Valencia, Consuelo, 2021. "How good are analyst forecasts of oil prices?," Energy Economics, Elsevier, vol. 102(C).
    25. 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.
    26. Pierdzioch, Christian & Rülke, Jan-Christoph, 2014. "Central banks’ interest rate projections and forecast coordination," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 130-137.
    27. Víctor López-Pérez, 2017. "Do professional forecasters behave as if they believed in the New Keynesian Phillips Curve for the euro area?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(1), pages 147-174, February.
    28. Rülke, Jan-Christoph & Silgoner, Maria & Wörz, Julia, 2016. "Herding behavior of business cycle forecasters," International Journal of Forecasting, Elsevier, vol. 32(1), pages 23-33.
    29. 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).

  87. Claudia M. Buch & Christian Pierdzioch, 2009. "Low Skill but High Volatility?," CESifo Working Paper Series 2665, CESifo.

    Cited by:

    1. M. Alper Çenesiz & Christian Pierdzioch, 2010. "Capital mobility and labor market volatility," International Economics and Economic Policy, Springer, vol. 7(4), pages 391-409, December.
    2. Michael Funke & Marc Gronwald, 2009. "A Convex Hull Approach to Counterfactual Analysis of Trade Openness and Growth," Quantitative Macroeconomics Working Papers 20906, Hamburg University, Department of Economics.
    3. Ronald Leung & Marco Stampini & Desire Vencatachellum, 2014. "Does Human Capital Protect Workers against Exogenous Shocks? Evidence from Panel Data on South Africa during the 2008-2009 Crisis," South African Journal of Economics, Economic Society of South Africa, vol. 82(1), pages 99-116, March.

  88. Döpke, Jörg & Hartmann, Daniel & Pierdzioch, Christian, 2006. "Forecasting stock market volatility with macroeconomic variables in real time," Discussion Paper Series 2: Banking and Financial Studies 2006,01, Deutsche Bundesbank.

    Cited by:

    1. Li, Dongxin & Zhang, Li & Li, Lihong, 2023. "Forecasting stock volatility with economic policy uncertainty: A smooth transition GARCH-MIDAS model," International Review of Financial Analysis, Elsevier, vol. 88(C).
    2. Christian Pierdzioch, 2012. "Macroeconomic Factors and the German Real Estate Market: A Stock-Market-Based Forecasting Experiment," Review of Economics & Finance, Better Advances Press, Canada, vol. 2, pages 87-96, May.
    3. Dimitrios I. Vortelinos & Konstantinos Gkillas, 2018. "Intraday realised volatility forecasting and announcements," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 9(1), pages 88-118.
    4. Ansgar Belke & Marcel Wiedmann, 2018. "Dissecting long-run and short-run causalities between monetary policy and stock prices," International Economics and Economic Policy, Springer, vol. 15(4), pages 761-786, October.
    5. Martha Cecilia García & Aura María Jalal & Luis Alfonso Garzón & Jorge Mario López, 2013. "Métodos para predecir índices Bursátiles," Revista Ecos de Economía, Universidad EAFIT, December.
    6. 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.
    7. Chao Liang & Yongan Xu & Zhonglu Chen & Xiafei Li, 2023. "Forecasting China's stock market volatility with shrinkage method: Can Adaptive Lasso select stronger predictors from numerous predictors?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3689-3699, October.
    8. Ming-Hsiang Chen, 2010. "Federal Reserve Monetary Policy and US Hospitality Stock Returns," Tourism Economics, , vol. 16(4), pages 833-852, December.
    9. Chen, Qiang & Gong, Yuting, 2019. "The economic sources of China's CSI 300 spot and futures volatilities before and after the 2015 stock market crisis," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 102-121.
    10. Delia-Elena Diaconaşu, 2015. "CENTRAL AND EASTERN EUROPEAN STOCK MARKETS IN TIMES OF CRISIS (International Conference "Recent Advances in Economic and Social Research", 13-14 mai 2015, București)," Institute for Economic Forecasting Conference Proceedings 151205, Institute for Economic Forecasting.
    11. Lindblad, Annika, 2017. "Sentiment indicators and macroeconomic data as drivers for low-frequency stock market volatility," MPRA Paper 80266, University Library of Munich, Germany.
    12. Dimitrios Subeniotis & Dimitrios Papadopoulos & Ioannis Tampakoudis & Athina Tampakoudi, 2011. "How Inflation, Market Capitalization, Industrial Production and the Economic Sentiment Indicator Affect the EU-12 Stock Markets," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 105-120.
    13. Zhang Wu & Terence Tai-Leung Chong, 2021. "Does the macroeconomy matter to market volatility? Evidence from US industries," Empirical Economics, Springer, vol. 61(6), pages 2931-2962, December.
    14. Belke, Ansgar & Wiedmann, Marcel, 2013. "Monetary Policy, Stock Prices and Central Banks - Cross-Country Comparisons of Cointegrated VAR Models," Ruhr Economic Papers 435, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    15. Stavroula P. Fameliti & Vasiliki D. Skintzi, 2020. "Predictive ability and economic gains from volatility forecast combinations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 200-219, March.
    16. Kizys, Renatas & Pierdzioch, Christian, 2010. "The business cycle and the equity risk premium in real time," International Review of Economics & Finance, Elsevier, vol. 19(4), pages 711-722, October.
    17. Ansgar Belke & Marcel Wiedmann, 2013. "Money, Stock Prices and Central Banks – Cross-Country Comparisons of Cointegrated VAR Models," ROME Working Papers 201308, ROME Network.

  89. Hartmann, Daniel & Pierdzioch, Christian, 2006. "International Equity Flows and the Predictability of U.S. Stock Returns," MPRA Paper 562, University Library of Munich, Germany, revised Apr 2006.

    Cited by:

    1. Porras, Eva & Ülkü, Numan, 2015. "Foreigners’ trading and stock returns in Spain," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 111-126.
    2. Ülkü, Numan & Karpova, Yekaterina, 2014. "Do international equity investors rebalance to manage currency exposure? A study of Greece foreign investor flows data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 150-169.
    3. Lizardo, Radhamés A. & Mollick, André V., 2009. "Do foreign purchases of U.S. stocks help the U.S. stock market?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(5), pages 969-986, December.

  90. Döpke, Jörg & Hartmann, Daniel & Pierdzioch, Christian, 2006. "Real-time macroeconomic data and ex ante predictability of stock returns," Discussion Paper Series 1: Economic Studies 2006,10, Deutsche Bundesbank.

    Cited by:

    1. Peter Hördahl & Frank Packer, 2007. "Understanding asset prices: an overview," BIS Papers, Bank for International Settlements, number 34.
    2. Ansgar Belke & Marcel Wiedmann, 2018. "Dissecting long-run and short-run causalities between monetary policy and stock prices," International Economics and Economic Policy, Springer, vol. 15(4), pages 761-786, October.
    3. Belke, Ansgar & Wiedmann, Marcel, 2013. "Monetary Policy, Stock Prices and Central Banks - Cross-Country Comparisons of Cointegrated VAR Models," Ruhr Economic Papers 435, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. Ansgar Belke & Marcel Wiedmann, 2013. "Money, Stock Prices and Central Banks – Cross-Country Comparisons of Cointegrated VAR Models," ROME Working Papers 201308, ROME Network.

  91. Hartmann, Daniel & Pierdzioch, Christian, 2006. "Nonlinear Links between Stock Returns and Exchange Rate Movements," MPRA Paper 558, University Library of Munich, Germany.

    Cited by:

    1. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2013. "Some thoughts on accurate characterization of stock market indexes trends in conditions of nonlinear capital flows during electronic trading at stock exchanges in global capital markets," MPRA Paper 49921, University Library of Munich, Germany.

  92. Hartmann, Daniel & Kempa, Bernd & Pierdzioch, Christian, 2006. "Economic and Financial Crises and the Predictability of U.S. Stock Returns," MPRA Paper 561, University Library of Munich, Germany.

    Cited by:

    1. Christian Pierdzioch, 2012. "Macroeconomic Factors and the German Real Estate Market: A Stock-Market-Based Forecasting Experiment," Review of Economics & Finance, Better Advances Press, Canada, vol. 2, pages 87-96, May.
    2. Berlemann, Michael & Freese, Julia & Knoth, Sven, 2012. "Eyes Wide Shut? The U.S. House Market Bubble through the Lense of Statistical Process Control," Working Paper 124/2012, Helmut Schmidt University, Hamburg.
    3. 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.
    4. Bee-Hoong Tay & Pei-Tha Gan, 2016. "The Determinants of Investment Rewards: Evidence for Selected Developed and Developing Countries," International Journal of Economics and Financial Issues, Econjournals, vol. 6(3), pages 1180-1188.
    5. 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.
    6. Francesco Battaglia & Mattheos Protopapas, 2012. "Multi–regime models for nonlinear nonstationary time series," Computational Statistics, Springer, vol. 27(2), pages 319-341, June.
    7. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2014. "The international business cycle and gold-price fluctuations," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 292-305.
    8. Yu-Hau Hu & Shun-Jen Hsueh, 2013. "A Study of yhe Nonlinear Relationships among the U.S. and Asian Stock Markets during Financial Crises," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 134-147, December.
    9. 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).
    10. Döpke, Jörg & Müller, Karsten & Tegtmeier, Lars, 2018. "The economic value of business cycle forecasts for potential investors – Evidence from Germany," Research in International Business and Finance, Elsevier, vol. 46(C), pages 445-461.
    11. Jing Tian & Qing Zhou, 2018. "Improving equity premium forecasts by incorporating structural break uncertainty," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 619-656, November.

  93. Pierdzioch, Christian & Schertler, Andrea, 2005. "Sources of Predictability of European Stock Markets for High-Technology Firms," Kiel Working Papers 1235, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Valérie Revest & Sandro Sapio, 2008. "Financing Technology-Based Small Firms in Europe: a review of the empirical evidence," LEM Papers Series 2008/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  94. Pierdzioch, Christian & Schertler, Andrea, 2005. "Investing in European Stock Markets for High-Technology Firms," Kiel Working Papers 1265, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Arouri, Mohamed El Hedi, 2011. "Does crude oil move stock markets in Europe? A sector investigation," Economic Modelling, Elsevier, vol. 28(4), pages 1716-1725, July.
    2. Ahmed, Mohamed S. & Alhadab, Mohammad, 2020. "Momentum, asymmetric volatility and idiosyncratic risk-momentum relation: Does technology-sector matter?," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 355-371.

  95. Nippel, Peter & Pierdzioch, Christian & Schertler, Andrea, 2005. "Underpricing and Index Excess Returns," Kiel Working Papers 1259, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre (Ed.), 2006. "Jahresbericht 2005," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 603, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.

  96. Pierdzioch, Christian & Schertler, Andrea, 2005. "Investing in European Stock Markets for High-Technology Firms," Kiel Working Papers 1265, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Arouri, Mohamed El Hedi, 2011. "Does crude oil move stock markets in Europe? A sector investigation," Economic Modelling, Elsevier, vol. 28(4), pages 1716-1725, July.
    2. Ahmed, Mohamed S. & Alhadab, Mohammad, 2020. "Momentum, asymmetric volatility and idiosyncratic risk-momentum relation: Does technology-sector matter?," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 355-371.

  97. Pierdzioch, Christian & Schertler, Andrea, 2005. "Sources of Predictability of European Stock Markets for High-Technology Firms," Kiel Working Papers 1235, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Valérie Revest & Sandro Sapio, 2008. "Financing Technology-Based Small Firms in Europe: a review of the empirical evidence," LEM Papers Series 2008/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  98. Pierdzioch, Christian, 2004. "Feedback Trading and Predictability of Stock Returns in Germany, 1880?1913," Kiel Working Papers 1213, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Imran Riaz MALIK* & Attaullah SHAH*, 2014. "Market Varying Conditional Risk-Return Relationship," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 24(2), pages 121-142.
    2. Do, A. & Powell, R. & Yong, J. & Singh, A., 2020. "Time-varying asymmetric volatility spillover between global markets and China’s A, B and H-shares using EGARCH and DCC-EGARCH models," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

  99. Pierdzioch, Christian & Döpke, Jörg, 2004. "Politics and the Stock Market: Evidence from Germany," Kiel Working Papers 1203, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. David Le Bris, 2012. "Stock Returns, Governments and Market Foresight in France, 1871-2008," Working Papers CEB 12-007, ULB -- Universite Libre de Bruxelles.
    2. Dao, Thong M. & McGroarty, Frank & Urquhart, Andrew, 2019. "The Brexit vote and currency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 59(C), pages 153-164.
    3. Gupta, Rangan & Pierdzioch, Christian & Selmi, Refk & Wohar, Mark E., 2018. "Does partisan conflict predict a reduction in US stock market (realized) volatility? Evidence from a quantile-on-quantile regression model☆," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 87-96.
    4. Wisniewski, Tomasz Piotr & Lambe, Brendan John, 2015. "Does economic policy uncertainty drive CDS spreads?," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 447-458.
    5. Taylor, Mark & Filippou, Ilias & Gozluklu, Arie & Nguyen, My, 2020. "U.S. Populist Rhetoric and Currency Returns," CEPR Discussion Papers 15054, C.E.P.R. Discussion Papers.
    6. Imlak Shaikh, 2019. "The U.S. Presidential Election 2012/2016 and Investors’ Sentiment: The Case of CBOE Market Volatility Index," SAGE Open, , vol. 9(3), pages 21582440198, July.
    7. Fatma Ben Moussa & Mariem Talbi, 2019. "Stock Market Reaction to Terrorist Attacks and Political Uncertainty: Empirical Evidence from the Tunisian Stock Exchange," International Journal of Economics and Financial Issues, Econjournals, vol. 9(3), pages 48-64.
    8. Ángel Pardo Tornero & María Dolores Furió Ortega, 2010. "Politics and elections at the Spanish stock exchange," Working Papers. Serie EC 2010-11, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    9. John Maloney & Andrew Pickering, 2015. "Voting and the economic cycle," Public Choice, Springer, vol. 162(1), pages 119-133, January.
    10. Bülent Köksal & Ahmet Çalışkan, 2012. "Political Business Cycles and Partisan Politics: Evidence from a Developing Economy," Economics and Politics, Wiley Blackwell, vol. 24(2), pages 182-199, July.
    11. Salaber, Julie, 2013. "Religion and returns in Europe," European Journal of Political Economy, Elsevier, vol. 32(C), pages 149-160.
    12. Bashir, Usman & Zebende, Gilney Figueira & Yu, Yugang & Hussain, Muntazir & Ali, Ahmed & Abbas, Ghulam, 2019. "Differential market reactions to pre and post Brexit referendum," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 151-158.
    13. Wisniewski, Tomasz Piotr, 2016. "Is there a link between politics and stock returns? A literature survey," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 15-23.
    14. Jamal Bouoiyour & Refk Selmi & Mark Wohar, 2018. "Measuring the response of gold prices to uncertainty: An analysis beyond the mean," Post-Print hal-01817067, HAL.
    15. Killins, Robert N. & Ngo, Thanh & Wang, Hongxia, 2022. "Politics and equity markets: Evidence from Canada," Journal of Multinational Financial Management, Elsevier, vol. 63(C).
    16. Faraji, Omid & Kashanipour, Mohammad & MohammadRezaei, Fakhroddin & Ahmed, Kamran & Vatanparast, Nader, 2020. "Political connections, political cycles and stock returns: Evidence from Iran," Emerging Markets Review, Elsevier, vol. 45(C).
    17. Ray Sturm, 2013. "Economic policy and the presidential election cycle in stock returns," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(2), pages 200-215, April.
    18. Yaser Abolghasemi & Stanko Dimitrov, 2021. "Determining the causality between U.S. presidential prediction markets and global financial markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4534-4556, July.
    19. Lucía Morales & Bernadette Andreosso-O’Callaghan, 2019. "Challenges and Opportunities Brought to the Chinese Economy by Brexit and the New US Administration," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(2), pages 145-171, August.
    20. Tielmann, Artur & Schiereck, Dirk, 2017. "Arising borders and the value of logistic companies: Evidence from the Brexit referendum in Great Britain," Finance Research Letters, Elsevier, vol. 20(C), pages 22-28.
    21. Civilize, Sireethorn & Wongchoti, Udomsak & Young, Martin, 2015. "Military regimes and stock market performance," Emerging Markets Review, Elsevier, vol. 22(C), pages 76-95.
    22. K. Arin & Alexander Molchanov & Otto Reich, 2013. "Politics, stock markets, and model uncertainty," Empirical Economics, Springer, vol. 45(1), pages 23-38, August.
    23. Chun-Ping Chang & Chien-Chiang Lee, 2010. "A Re-examination of German Government Approval and Economic Performance: Is There a Stable Relationship between Them?," International Economic Journal, Taylor & Francis Journals, vol. 24(1), pages 25-43.
    24. Gabriel Rodríguez & Alfredo Vargas, 2012. "Impacto de expectativas políticas en los retornos del Índice General de la Bolsa de Valores de Lima," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 35(70), pages 190-223.
    25. Angelini, Eliana & Foglia, Matteo & Ortolano, Alessandra & Leone, Maria, 2018. "The “Donald” and the market: Is there a cointegration?," Research in International Business and Finance, Elsevier, vol. 45(C), pages 30-37.
    26. Rangan Gupta & Christian Pierdzioch & Refk Selmi & Mark E. Wohar, 2017. "Does Partisan Conflict Predict a Reduction in US Stock Market (Realized) Volatility? Evidence from a Quantile-on-Quantile Regression Model," Working Papers 201744, University of Pretoria, Department of Economics.

  100. Pierdzioch, Christian & Yener, Serkan, 2004. "On the Welfare Effects of Monetary Policy When Households Try to Keep Up with the Rest of the World," Kiel Working Papers 1198, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Tervala, Juha, 2008. "Jealousy and monetary policy," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(5), pages 1797-1802, October.
    2. Juha Tervala, 2011. "Keeping Up with the Joneses and the Welfare Effects of Monetary Policy," Discussion Papers 65, Aboa Centre for Economics.

  101. Pierdzioch, Christian, 2004. "Feedback Trading and Predictability of Stock Returns in Germany, 1880?1913," Kiel Working Papers 1213, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Imran Riaz MALIK* & Attaullah SHAH*, 2014. "Market Varying Conditional Risk-Return Relationship," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 24(2), pages 121-142.
    2. Do, A. & Powell, R. & Yong, J. & Singh, A., 2020. "Time-varying asymmetric volatility spillover between global markets and China’s A, B and H-shares using EGARCH and DCC-EGARCH models," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

  102. Pierdzioch, Christian & Döpke, Jörg, 2004. "Politics and the Stock Market: Evidence from Germany," Kiel Working Papers 1203, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. David Le Bris, 2012. "Stock Returns, Governments and Market Foresight in France, 1871-2008," Working Papers CEB 12-007, ULB -- Universite Libre de Bruxelles.
    2. Dao, Thong M. & McGroarty, Frank & Urquhart, Andrew, 2019. "The Brexit vote and currency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 59(C), pages 153-164.
    3. Gupta, Rangan & Pierdzioch, Christian & Selmi, Refk & Wohar, Mark E., 2018. "Does partisan conflict predict a reduction in US stock market (realized) volatility? Evidence from a quantile-on-quantile regression model☆," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 87-96.
    4. Wisniewski, Tomasz Piotr & Lambe, Brendan John, 2015. "Does economic policy uncertainty drive CDS spreads?," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 447-458.
    5. Taylor, Mark & Filippou, Ilias & Gozluklu, Arie & Nguyen, My, 2020. "U.S. Populist Rhetoric and Currency Returns," CEPR Discussion Papers 15054, C.E.P.R. Discussion Papers.
    6. Imlak Shaikh, 2019. "The U.S. Presidential Election 2012/2016 and Investors’ Sentiment: The Case of CBOE Market Volatility Index," SAGE Open, , vol. 9(3), pages 21582440198, July.
    7. Fatma Ben Moussa & Mariem Talbi, 2019. "Stock Market Reaction to Terrorist Attacks and Political Uncertainty: Empirical Evidence from the Tunisian Stock Exchange," International Journal of Economics and Financial Issues, Econjournals, vol. 9(3), pages 48-64.
    8. Ángel Pardo Tornero & María Dolores Furió Ortega, 2010. "Politics and elections at the Spanish stock exchange," Working Papers. Serie EC 2010-11, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    9. John Maloney & Andrew Pickering, 2015. "Voting and the economic cycle," Public Choice, Springer, vol. 162(1), pages 119-133, January.
    10. Bülent Köksal & Ahmet Çalışkan, 2012. "Political Business Cycles and Partisan Politics: Evidence from a Developing Economy," Economics and Politics, Wiley Blackwell, vol. 24(2), pages 182-199, July.
    11. Salaber, Julie, 2013. "Religion and returns in Europe," European Journal of Political Economy, Elsevier, vol. 32(C), pages 149-160.
    12. Bashir, Usman & Zebende, Gilney Figueira & Yu, Yugang & Hussain, Muntazir & Ali, Ahmed & Abbas, Ghulam, 2019. "Differential market reactions to pre and post Brexit referendum," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 151-158.
    13. Wisniewski, Tomasz Piotr, 2016. "Is there a link between politics and stock returns? A literature survey," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 15-23.
    14. Jamal Bouoiyour & Refk Selmi & Mark Wohar, 2018. "Measuring the response of gold prices to uncertainty: An analysis beyond the mean," Post-Print hal-01817067, HAL.
    15. Killins, Robert N. & Ngo, Thanh & Wang, Hongxia, 2022. "Politics and equity markets: Evidence from Canada," Journal of Multinational Financial Management, Elsevier, vol. 63(C).
    16. Faraji, Omid & Kashanipour, Mohammad & MohammadRezaei, Fakhroddin & Ahmed, Kamran & Vatanparast, Nader, 2020. "Political connections, political cycles and stock returns: Evidence from Iran," Emerging Markets Review, Elsevier, vol. 45(C).
    17. Ray Sturm, 2013. "Economic policy and the presidential election cycle in stock returns," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(2), pages 200-215, April.
    18. Yaser Abolghasemi & Stanko Dimitrov, 2021. "Determining the causality between U.S. presidential prediction markets and global financial markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4534-4556, July.
    19. Lucía Morales & Bernadette Andreosso-O’Callaghan, 2019. "Challenges and Opportunities Brought to the Chinese Economy by Brexit and the New US Administration," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(2), pages 145-171, August.
    20. Tielmann, Artur & Schiereck, Dirk, 2017. "Arising borders and the value of logistic companies: Evidence from the Brexit referendum in Great Britain," Finance Research Letters, Elsevier, vol. 20(C), pages 22-28.
    21. Civilize, Sireethorn & Wongchoti, Udomsak & Young, Martin, 2015. "Military regimes and stock market performance," Emerging Markets Review, Elsevier, vol. 22(C), pages 76-95.
    22. K. Arin & Alexander Molchanov & Otto Reich, 2013. "Politics, stock markets, and model uncertainty," Empirical Economics, Springer, vol. 45(1), pages 23-38, August.
    23. Chun-Ping Chang & Chien-Chiang Lee, 2010. "A Re-examination of German Government Approval and Economic Performance: Is There a Stable Relationship between Them?," International Economic Journal, Taylor & Francis Journals, vol. 24(1), pages 25-43.
    24. Gabriel Rodríguez & Alfredo Vargas, 2012. "Impacto de expectativas políticas en los retornos del Índice General de la Bolsa de Valores de Lima," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 35(70), pages 190-223.
    25. Angelini, Eliana & Foglia, Matteo & Ortolano, Alessandra & Leone, Maria, 2018. "The “Donald” and the market: Is there a cointegration?," Research in International Business and Finance, Elsevier, vol. 45(C), pages 30-37.
    26. Rangan Gupta & Christian Pierdzioch & Refk Selmi & Mark E. Wohar, 2017. "Does Partisan Conflict Predict a Reduction in US Stock Market (Realized) Volatility? Evidence from a Quantile-on-Quantile Regression Model," Working Papers 201744, University of Pretoria, Department of Economics.

  103. Pierdzioch, Christian & Yener, Serkan, 2004. "On the Welfare Effects of Monetary Policy When Households Try to Keep Up with the Rest of the World," Kiel Working Papers 1198, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Tervala, Juha, 2008. "Jealousy and monetary policy," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(5), pages 1797-1802, October.
    2. Juha Tervala, 2011. "Keeping Up with the Joneses and the Welfare Effects of Monetary Policy," Discussion Papers 65, Aboa Centre for Economics.

  104. Pierdzioch, Christian, 2003. "Home-Product Bias, Capital Mobility, and the Effects of Monetary Policy Shocks in Open Economies," Kiel Working Papers 1141, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Jansen, Pieter W., 2006. "Did capital market convergence lower the effectiveness of the interest rate as a monetary policy tool?," Serie Research Memoranda 0010, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

  105. Pierdzioch, Christian, 2003. "Keeping Up with the Joneses: Implications for the Welfare Effects of Monetary Policy in Open Economies," Kiel Working Papers 1166, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Tervala, Juha, 2008. "Jealousy and monetary policy," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(5), pages 1797-1802, October.
    2. Juha Tervala, 2011. "Keeping Up with the Joneses and the Welfare Effects of Monetary Policy," Discussion Papers 65, Aboa Centre for Economics.
    3. Chang, Ming-Jen & Chang, Juin-Jen & Shieh, Jhy-Yuan, 2014. "Keeping up with the Joneses and exchange rate volatility in a Redux model," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 569-584.
    4. Emrich, Eike & Pierdzioch, Christian, 2012. "A Note on the International Coordination of Anti-Doping Policies," Working Paper 126/2012, Helmut Schmidt University, Hamburg.
    5. Alejandro SALAZAR-ADAMS & Nicolás PINEDA-PABLOS, 2010. "Policies for Meeting Future Water Needs in Mexican Cities," EcoMod2010 259600147, EcoMod.

  106. Pierdzioch, Christian, 2003. "Capital Mobility and the Effectiveness of Fiscal Policy in Open Economies," Kiel Working Papers 1164, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Shoji, Etsuro & Khai, Vu Tuan & Takeuchi, Hiroko, 2011. "Fiscal Policy in a New Keynesian Overlapping Generations Model of a Small Open Economy," Economic Review, Hitotsubashi University, vol. 62(1), pages 30-43, January.
    2. Mirdala, Rajmund & Svrčeková, Aneta & Semančíková, Jozefína, 2015. "On the Relationship between Financial Integration, Financial Liberalization and Macroeconomic Volatility," MPRA Paper 66143, University Library of Munich, Germany.
    3. Mr. Giovanni Ganelli & Juha Tervala, 2007. "Public Infrastructures, Public Consumption, and Welfare in a New-Open-Economy-Macro Model," IMF Working Papers 2007/067, International Monetary Fund.
    4. Marco Riguzzi & Philipp Wegmueller, 2015. "Economic Openness and Fiscal Multipliers," Diskussionsschriften dp1504, Universitaet Bern, Departement Volkswirtschaft.
    5. Gancho Ganchev & Ivan Todorov, 2021. "Taxation, government spending and economic growth: The case of Bulgaria," Journal of Tax Reform, Graduate School of Economics and Management, Ural Federal University, vol. 7(3), pages 255-266.
    6. M. Alper Çenesiz & Christian Pierdzioch, 2009. "Labor‐Market Search, Financial Market Integration, and the Fiscal Multiplier," Review of International Economics, Wiley Blackwell, vol. 17(5), pages 986-1000, November.
    7. Wee Chian Koh, 2017. "Fiscal multipliers: new evidence from a large panel of countries," Oxford Economic Papers, Oxford University Press, vol. 69(3), pages 569-590.
    8. Koenig, Gilbert & Zeyneloglu, Irem, 2010. "When does financial integration matter for fiscal policy in a currency union? A welfare-based approach," Economic Modelling, Elsevier, vol. 27(3), pages 620-630, May.
    9. Ryszard Kata & Malgorzata Wosiek, 2020. "Capital Mobility as a Reason for Credit Booms in the Eurozone," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 718-738.
    10. Alper Çenesiz, M. & Pierdzioch, Christian, 2009. "Efficiency wages, financial market integration, and the fiscal multiplier," Journal of International Money and Finance, Elsevier, vol. 28(5), pages 853-867, September.
    11. Muhammad Ali Nasir & Junjie Wu & Milton Yago & Alaa M. Soliman, 2016. "Macroeconomic policy interaction: State dependency and implications for financial stability in UK: A systemic review," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1154283-115, December.
    12. Ganelli, Giovanni & Tervala, Juha, 2009. "Public infrastructures, public consumption and welfare in a new open economy macro model," Bank of Finland Research Discussion Papers 8/2009, Bank of Finland.

  107. Pierdzioch, Christian, 2003. "Keeping Up with the Joneses: Implications for the Welfare Effects of Monetary Policy in Open Economies," Kiel Working Papers 1166, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Tervala, Juha, 2008. "Jealousy and monetary policy," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(5), pages 1797-1802, October.
    2. Juha Tervala, 2011. "Keeping Up with the Joneses and the Welfare Effects of Monetary Policy," Discussion Papers 65, Aboa Centre for Economics.
    3. Chang, Ming-Jen & Chang, Juin-Jen & Shieh, Jhy-Yuan, 2014. "Keeping up with the Joneses and exchange rate volatility in a Redux model," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 569-584.
    4. Emrich, Eike & Pierdzioch, Christian, 2012. "A Note on the International Coordination of Anti-Doping Policies," Working Paper 126/2012, Helmut Schmidt University, Hamburg.
    5. Alejandro SALAZAR-ADAMS & Nicolás PINEDA-PABLOS, 2010. "Policies for Meeting Future Water Needs in Mexican Cities," EcoMod2010 259600147, EcoMod.

  108. Frenkel, Michael & Pierdzioch, Christian & Stadtmann, Georg, 2003. "The Effects of Japanese Foreign Exchange Market Interventions on the Yen/U.S. Dollar Exchange Rate Volatility," Kiel Working Papers 1165, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Eric Hillebrand & Gunther Schnabl & Yasemin Ulu, 2006. "Japanese Foreign Exchange Intervention and the Yen/Dollar Exchange Rate: A Simultaneous Equations Approach Using Realized Volatility," CESifo Working Paper Series 1766, CESifo.
    2. Michel Beine & Agnes Bénassy-Quéré & Ronald MacDonald, 2007. "The impact of Central Bank intervention on exchange rate forecasts heterogeneity," ULB Institutional Repository 2013/10423, ULB -- Universite Libre de Bruxelles.
    3. Christopher J. Neely, 2005. "An analysis of recent studies of the effect of foreign exchange intervention," Review, Federal Reserve Bank of St. Louis, vol. 87(Nov), pages 685-718.
    4. Christopher J. Neely, 2007. "Central bank authorities’ beliefs about foreign exchange intervention," Working Papers 2006-045, Federal Reserve Bank of St. Louis.
    5. Suk-Joong Kim & Jeffrey Sheen, 2018. "Interventions in the Yen-Dollar Spot Market: A Story of Price, Volatility and Volume," World Scientific Book Chapters, in: Information Spillovers and Market Integration in International Finance Empirical Analyses, chapter 3, pages 73-106, World Scientific Publishing Co. Pte. Ltd..
    6. Hyun Kook Shin & Byoung Hark Yoo, 2012. "The Volatility Of The Won-Dollar Exchange Rate During The 2008-9 Crisis," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 37(4), pages 61-77, December.
    7. Michael D. Bordo & Owen Humpage & Anna J. Schwartz, 2012. "Epilogue: Foreign-Exchange-Market Operations in the Twenty-First Century," NBER Working Papers 17984, National Bureau of Economic Research, Inc.
    8. Alain P. Chaboud & Owen F. Humpage, 2005. "An assessment of the impact of Japanese foreign exchange intervention: 1991-2004," International Finance Discussion Papers 824, Board of Governors of the Federal Reserve System (U.S.).
    9. Fratzscher, Marcel, 2006. "On the long-term effectiveness of exchange rate communication and interventions," Journal of International Money and Finance, Elsevier, vol. 25(1), pages 146-167, February.
    10. Jaqueline Terra Moura Marins & Gustavo Silva Araujo & José Valentim Machado Vicente, 2015. "As Atuações Cambiais do Banco Central Afetam as Expectativas de Mercado?," Working Papers Series 393, Central Bank of Brazil, Research Department.
    11. Kim, Suk-Joong, 2007. "Intraday evidence of efficacy of 1991-2004 Yen intervention by the Bank of Japan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(4), pages 341-360, October.
    12. Schnabl, Gunther & Hillebrand, Eric, 2006. "A structural break in the effects of Japanese foreign exchange intervention on yen/dollar exchange rate volatility," Working Paper Series 650, European Central Bank.
    13. Smita Roy Trivedi & P. G. Apte, 2016. "Central Bank Intervention in USD/INR Market: Estimating Its Reaction Function and Impact on Volatility," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 23(3), pages 263-279, September.
    14. Kathryn M. E. Dominguez & Freyan Panthaki, 2007. "The Influence of Actual and Unrequited Interventions," Working Papers 561, Research Seminar in International Economics, University of Michigan.
    15. Solomiia Brychka & Denys Klynovskyi & Dmytro Krukovets & Artem Oharkov, 2019. "Meta-Analysis: Meta-Analysis: Effect of FX interventions on the exchange rate," Modern Economic Studies, Kyiv School of Economics, vol. 2(1), pages 24-44.
    16. Tsuchiya, Yoichi, 2015. "Herding behavior and loss functions of exchange rate forecasters over interventions and financial crises," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 266-276.
    17. Hoshikawa, Takeshi, 2008. "The effect of intervention frequency on the foreign exchange market: The Japanese experience," Journal of International Money and Finance, Elsevier, vol. 27(4), pages 547-559, June.
    18. Dominguez, Kathryn M.E., 2006. "When do central bank interventions influence intra-daily and longer-term exchange rate movements?," Journal of International Money and Finance, Elsevier, vol. 25(7), pages 1051-1071, November.
    19. Fayyaz Hussain & Abdul Jalil, 2006. "Effectiveness of Foreign Exchange Intervention: Evidence from Pakistan," SBP Working Paper Series 14, State Bank of Pakistan, Research Department.
    20. Juan Manuel Julio & Norberto Rodríguez & Hector Zárate, 2005. "Estimating the COP Exchange Rate Volatility Smile and the Market Effect of Central Bank Interventions: A CHARN Approach," Borradores de Economia 347, Banco de la Republica de Colombia.
    21. Ferhan SALMAN & Tolga CASKURLU & Mustafa PINAR & Aslihan SALIH, 2008. "Can Central Bank Interventions Affect the Exchange Rate Volatility? Multivariate GARCH Approach Using Constrained Nonlinear Programming," EcoMod2008 23800121, EcoMod.
    22. Hamid Davari & Alireza Kamalian, 2017. "Study Short Term and Long Term Impact of Effective Real Exchange Rate on Oil Price Growth in Iran," International Journal of Energy Economics and Policy, Econjournals, vol. 7(6), pages 159-163.
    23. Ronald McDonald & Xuxin Mao, 2016. "Japan's Currency Intervention Regimes: A Microstructural Analysis with Speculation and Sentiment," Working Papers 2016_06, Business School - Economics, University of Glasgow.
    24. Beckmann, Joscha & Belke, Ansgar & Kühl, Michael, 2013. "Foreign Exchange Market Interventions and the $-¥ Exchange Rate in the Long-Run," Ruhr Economic Papers 428, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    25. Vithessonthi, Chaiporn & Tongurai, Jittima, 2013. "Unremunerated reserve requirements, exchange rate volatility, and firm value," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 358-378.
    26. Huang, Alex YiHou & Peng, Sheng-Pen & Li, Fangjhy & Ke, Ching-Jie, 2011. "Volatility forecasting of exchange rate by quantile regression," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 591-606, October.
    27. Dimitrios A. Sideris, 2007. "Foreign Exchange Intervention and Equilibrium Real Exchange Rates," Working Papers 56, Bank of Greece.
    28. Victor Shevchuk & Roman Kopych, 2021. "Exchange Rate Volatility, Currency Misalignment, and Risk of Recession in the Central and Eastern European Countries," Risks, MDPI, vol. 9(5), pages 1-19, May.
    29. Nikkinen, Jussi & Vähämaa, Sami, 2009. "Central bank interventions and implied exchange rate correlations," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 862-873, December.
    30. Smita Roy Trivedi & Bobby Srinivasan, 2016. "Impact of Central Bank Intervention in the Foreign Exchange Market: Evidence from India Using an Event Study Approach," Economic Papers, The Economic Society of Australia, vol. 35(4), pages 389-402, December.
    31. Grossmann, Axel & Orlov, Alexei G., 2012. "Exchange rate misalignments in frequency domain," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 185-199.
    32. Carmen Broto, 2012. "The effectiveness of forex interventions in four Latin American countries," Working Papers 1226, Banco de España.
    33. Lucía Arango-Lozano & Lukas Menkhoff & Daniela Rodríguez-Novoa & Mauricio Villamizar-Villegas, 2020. "The Effectiveness of FX Interventions: A Meta-Analysis," Discussion Papers of DIW Berlin 1895, DIW Berlin, German Institute for Economic Research.
    34. Peter Andersen & Suk-Joong Kim, 2018. "Intraday Timing of AUD Intervention by the Reserve Bank of Australia: Evidence from Microstructural Analyses," World Scientific Book Chapters, in: Information Spillovers and Market Integration in International Finance Empirical Analyses, chapter 2, pages 43-71, World Scientific Publishing Co. Pte. Ltd..
    35. Suk-Joong Kim & Anh Tu Le, 2018. "Secrecy of Bank of Japan’s Yen Intervention: Evidence of Efficacy from Intra-daily Data," World Scientific Book Chapters, in: Information Spillovers and Market Integration in International Finance Empirical Analyses, chapter 4, pages 107-147, World Scientific Publishing Co. Pte. Ltd..
    36. Hsiao, Yu-Ming & Pan, Sheng-Chieh & Wu, Po-Chin, 2012. "Does the central bank's intervention benefit trade balance? Empirical evidence from China," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 130-139.
    37. Vithessonthi, Chaiporn, 2014. "Monetary policy and the first- and second-moment exchange rate change during the global financial crisis: Evidence from Thailand," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 170-194.
    38. Morel, Christophe & Teïletche, Jérôme, 2008. "Do interventions in foreign exchange markets modify investors' expectations? The experience of Japan between 1992 and 2004," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 211-231, March.
    39. Reitz, Stefan & Stadtmann, Georg & Taylor, Mark P., 2010. "The effects of Japanese interventions on FX-forecast heterogeneity," Economics Letters, Elsevier, vol. 108(1), pages 62-64, July.
    40. Owen F. Humpage, 2003. "Government intervention in the foreign exchange market," Working Papers (Old Series) 0315, Federal Reserve Bank of Cleveland.
    41. Christopher J. Neely, 2006. "Identifying the effects of U.S. intervention on the levels of exchange rates," Working Papers 2005-031, Federal Reserve Bank of St. Louis.
    42. Becksndale Masawi & Sukanto Bhattacharya & Terry Boulter, 2018. "Does the Information Content of Central Bank Speeches Impact on the Level of Exchange Rate? A Comparative Study of Canadian and Australian Central Bank Communications," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 21(01), pages 1-27, March.
    43. Takeshi Hoshikawa, 2008. "The causal relationships between foreign exchange intervention and exchange rate," Applied Economics Letters, Taylor & Francis Journals, vol. 15(7), pages 519-522.
    44. Wang, Jianxin & Yang, Minxian, 2009. "Asymmetric volatility in the foreign exchange markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(4), pages 597-615, October.
    45. Kim, Suk-Joong & Pham, Cyril Minh Dao, 2006. "Is foreign exchange intervention by central banks bad news for debt markets?: A case of Reserve Bank of Australia's interventions 1986-2003," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(5), pages 446-467, December.
    46. Соломія Бричка & Денис Клиновський & Дмитро Круковець & Артем Огарков, 2019. "Мета-аналіз: ефект fx-інтервенцій на валютний курс," Suchasni ekonomichni doslidzhennja, Kyiv School of Economics, vol. 2(1), pages 24-47.
    47. Vithessonthi, Chaiporn & Tongurai, Jittima, 2013. "The perils of a central bank's capital control: How substantial is the effect on firm value?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 111-135.
    48. Gabriele Galati & Patrick C. Higgins & Owen F. Humpage & William R. Melick, 2006. "Option prices, exchange market intervention, and the higher moment expectations channel: a user’s guide," Working Papers (Old Series) 0618, Federal Reserve Bank of Cleveland.
    49. Simon, György & Simon, György, 2006. "A gazdasági növekedés problémái Japánban: a "gazdasági csodától" az elhúzódó recesszióig [Problems of economic growth in Japan: from economic miracle to protracted recession]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 46-68.
    50. Capraro Rodríguez Santiago & Perrotini Hernández Ignacio, 2012. "Intervenciones cambiarias esterilizadas, teoría y evidencia:el caso de México," Contaduría y Administración, Accounting and Management, vol. 57(2), pages 11-44, abril-jun.
    51. Park, Beum-Jo, 2011. "Asymmetric herding as a source of asymmetric return volatility," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2657-2665, October.
    52. Yushi Yoshida & Jan C. Rülke, 2009. "On-Going versus Completed Interventions and Yen/Dollar Expectations - Evidence from Disaggregated Survey Data," Discussion Papers 35, Kyushu Sangyo University, Faculty of Economics, revised Dec 2009.

  109. Pierdzioch, Christian, 2003. "Capital Mobility and the Effectiveness of Fiscal Policy in Open Economies," Kiel Working Papers 1164, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Shoji, Etsuro & Khai, Vu Tuan & Takeuchi, Hiroko, 2011. "Fiscal Policy in a New Keynesian Overlapping Generations Model of a Small Open Economy," Economic Review, Hitotsubashi University, vol. 62(1), pages 30-43, January.
    2. Mirdala, Rajmund & Svrčeková, Aneta & Semančíková, Jozefína, 2015. "On the Relationship between Financial Integration, Financial Liberalization and Macroeconomic Volatility," MPRA Paper 66143, University Library of Munich, Germany.
    3. Mr. Giovanni Ganelli & Juha Tervala, 2007. "Public Infrastructures, Public Consumption, and Welfare in a New-Open-Economy-Macro Model," IMF Working Papers 2007/067, International Monetary Fund.
    4. Marco Riguzzi & Philipp Wegmueller, 2015. "Economic Openness and Fiscal Multipliers," Diskussionsschriften dp1504, Universitaet Bern, Departement Volkswirtschaft.
    5. Gancho Ganchev & Ivan Todorov, 2021. "Taxation, government spending and economic growth: The case of Bulgaria," Journal of Tax Reform, Graduate School of Economics and Management, Ural Federal University, vol. 7(3), pages 255-266.
    6. M. Alper Çenesiz & Christian Pierdzioch, 2009. "Labor‐Market Search, Financial Market Integration, and the Fiscal Multiplier," Review of International Economics, Wiley Blackwell, vol. 17(5), pages 986-1000, November.
    7. Wee Chian Koh, 2017. "Fiscal multipliers: new evidence from a large panel of countries," Oxford Economic Papers, Oxford University Press, vol. 69(3), pages 569-590.
    8. Koenig, Gilbert & Zeyneloglu, Irem, 2010. "When does financial integration matter for fiscal policy in a currency union? A welfare-based approach," Economic Modelling, Elsevier, vol. 27(3), pages 620-630, May.
    9. Ryszard Kata & Malgorzata Wosiek, 2020. "Capital Mobility as a Reason for Credit Booms in the Eurozone," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 718-738.
    10. Alper Çenesiz, M. & Pierdzioch, Christian, 2009. "Efficiency wages, financial market integration, and the fiscal multiplier," Journal of International Money and Finance, Elsevier, vol. 28(5), pages 853-867, September.
    11. Muhammad Ali Nasir & Junjie Wu & Milton Yago & Alaa M. Soliman, 2016. "Macroeconomic policy interaction: State dependency and implications for financial stability in UK: A systemic review," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1154283-115, December.
    12. Ganelli, Giovanni & Tervala, Juha, 2009. "Public infrastructures, public consumption and welfare in a new open economy macro model," Bank of Finland Research Discussion Papers 8/2009, Bank of Finland.

  110. Buch, Claudia M. & Pierdzioch, Christian, 2003. "The Integration of Imperfect Financial Markets: Implications for Business Cycle Volatility," Kiel Working Papers 1161, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Martin Evans and Viktoria Hnatkovska, 2007. "International Financial Integration and The Real Economy," Working Papers gueconwpa~07-07-11, Georgetown University, Department of Economics.
    2. Andrea Silvestrini & Andrea Zaghini, 2015. "Financial Shocks And The Real Economy In A Nonlinear World: From Theory To Estimation," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 15/910, Ghent University, Faculty of Economics and Business Administration.
    3. Scharler, Johann & Rumler, Fabio, 2009. "Labor market institutions and macroeconomic volatility in a panel of OECD countries," Working Paper Series 1005, European Central Bank.
    4. Feng Wei & Yu Kong, 2016. "Financial Development, Financial Structure, and Macroeconomic Volatility: Evidence from China," Sustainability, MDPI, vol. 8(11), pages 1-20, November.
    5. Tsangyao Chang & Wen Yi Chen & Rangan Gupta & Duc Khuong Nguyen, 2013. "Are Stock Prices Related to Political Uncertainty Index in OECD Countries? Evidence from Bootstrap Panel Causality Test," Working Papers 2013-36, Department of Research, Ipag Business School.
    6. Hooy, Chee-Wooi & Lim, Kian-Ping, 2013. "Is market integration associated with informational efficiency of stock markets?," Journal of Policy Modeling, Elsevier, vol. 35(1), pages 29-44.
    7. Buch, Claudia M. & Pierdzioch, Christian, 2005. "The integration of imperfect financial markets: Implications for business cycle volatility," Journal of Policy Modeling, Elsevier, vol. 27(7), pages 789-804, October.
    8. Martin Evans and Viktoria Hnatkovska, 2006. "Financial Integration, Macroeconomic Volatility and Welfare," Working Papers gueconwpa~06-06-13, Georgetown University, Department of Economics.
    9. Konstantakopoulou, Ioanna & Tsionas, Efthymios G., 2014. "Half a century of empirical evidence of business cycles in OECD countries," Journal of Policy Modeling, Elsevier, vol. 36(2), pages 389-409.
    10. Abu N. M. Wahid & Abdul Jalil, 2010. "Financial Development and GDP Volatility in China," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 39(1‐2), pages 27-41, February.
    11. Martin D. D. Evans & Viktoria Hnatkovska, 2005. "International Capital Flows, Returns and World Financial Integration," NBER Working Papers 11701, National Bureau of Economic Research, Inc.
    12. Niţoi, Mihai & Pochea, Maria Miruna, 2016. "Testing financial markets convergence in Central and Eastern Europe: A non-linear single factor model," Economic Systems, Elsevier, vol. 40(2), pages 323-334.
    13. Viktoria Hnatkovska & Martin Evans, 2005. "International Capital Flows in a World of Greater Financial Integration," Computing in Economics and Finance 2005 419, Society for Computational Economics.
    14. Rizvi, Syed Aun R. & Arshad, Shaista, 2017. "Analysis of the efficiency–integration nexus of Japanese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 296-308.

  111. Pierdzioch, Christian & Stadtmann, Georg, 2003. "The effectiveness of the interventions of the Swiss National Bank: an event-study analysis," Kiel Working Papers 1160, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Berhold, Kerstin & Stadtmann, Georg, 2017. "Who put the holes in the Swiss cheese? Currency crisis under appreciation pressure," Discussion Papers 391, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    2. Christopher J. Neely, 2005. "An analysis of recent studies of the effect of foreign exchange intervention," Review, Federal Reserve Bank of St. Louis, vol. 87(Nov), pages 685-718.
    3. Michael R. King & Rasmus Fatum, 2005. "The Effectiveness of Official Foreign Exchange Intervention in a Small Open Economy: The Case of the Canadian Dollar," Staff Working Papers 05-21, Bank of Canada.
    4. Markus Hertrich, 2022. "Foreign exchange interventions under a minimum exchange rate regime and the Swiss franc," Review of International Economics, Wiley Blackwell, vol. 30(2), pages 450-489, May.
    5. Rasmus Fatum, 2005. "Daily Effects of Foreign Exchange Intervention: Evidence from Official Bank of Canada Data," EPRU Working Paper Series 05-07, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics.
    6. Dražen Koški, 2018. "The Effectiveness of Foreign Exchange Interventions in the Republic of Croatia: The Event Study," Occasional Publications, in: Financije teorija i suvremena pitanja = Finance - theory and contemporary issues, edition 1, volume 1, chapter 10, pages 229-251, Josip Juraj Strossmayer University of Osijek, Faculty of Economics.
    7. Pontines, Victor & Siregar, Reza, 2009. "Intervention index and exchange rate regimes: the cases of selected East-Asian economies," MPRA Paper 17138, University Library of Munich, Germany.
    8. Zhang, Zhichao & Li, He & Zhang, Chuanjie, 2017. "Oral intervention in China: Efficacy of Chinese exchange rate communications," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 24-34.
    9. Brause, Alexander, 2008. "Foreign exchange interventions in emerging market countries: New lessons from Argentina," W.E.P. - Würzburg Economic Papers 79, University of Würzburg, Department of Economics.

  112. Pierdzioch, Christian & Stadtmann, Georg, 2003. "The effectiveness of the interventions of the Swiss National Bank: an event-study analysis," Kiel Working Papers 1160, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Berhold, Kerstin & Stadtmann, Georg, 2017. "Who put the holes in the Swiss cheese? Currency crisis under appreciation pressure," Discussion Papers 391, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    2. Christopher J. Neely, 2005. "An analysis of recent studies of the effect of foreign exchange intervention," Review, Federal Reserve Bank of St. Louis, vol. 87(Nov), pages 685-718.
    3. Michael R. King & Rasmus Fatum, 2005. "The Effectiveness of Official Foreign Exchange Intervention in a Small Open Economy: The Case of the Canadian Dollar," Staff Working Papers 05-21, Bank of Canada.
    4. Markus Hertrich, 2022. "Foreign exchange interventions under a minimum exchange rate regime and the Swiss franc," Review of International Economics, Wiley Blackwell, vol. 30(2), pages 450-489, May.
    5. Rasmus Fatum, 2005. "Daily Effects of Foreign Exchange Intervention: Evidence from Official Bank of Canada Data," EPRU Working Paper Series 05-07, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics.
    6. Dražen Koški, 2018. "The Effectiveness of Foreign Exchange Interventions in the Republic of Croatia: The Event Study," Occasional Publications, in: Financije teorija i suvremena pitanja = Finance - theory and contemporary issues, edition 1, volume 1, chapter 10, pages 229-251, Josip Juraj Strossmayer University of Osijek, Faculty of Economics.
    7. Pontines, Victor & Siregar, Reza, 2009. "Intervention index and exchange rate regimes: the cases of selected East-Asian economies," MPRA Paper 17138, University Library of Munich, Germany.
    8. Zhang, Zhichao & Li, He & Zhang, Chuanjie, 2017. "Oral intervention in China: Efficacy of Chinese exchange rate communications," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 24-34.
    9. Brause, Alexander, 2008. "Foreign exchange interventions in emerging market countries: New lessons from Argentina," W.E.P. - Würzburg Economic Papers 79, University of Würzburg, Department of Economics.

  113. Pierdzioch, Christian & Kamps, Christophe, 2002. "Geldpolitik und vorausschauende Taylor-Regeln: Theorie und Empirie am Beispiel der Deutschen Bundesbank," Kiel Working Papers 1089, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Ansgar Belke & Wim Kösters & Martin Leschke & Thorsten Polleit, 2005. "Back to the rules," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 268/2005, Department of Economics, University of Hohenheim, Germany.
    2. Treu, Johannes, 2010. "Der Taylor-Zins und die europäische Geldpolitik 1999 - 2009," Wirtschaftswissenschaftliche Diskussionspapiere 03/2010, University of Greifswald, Faculty of Law and Economics.
    3. Ansgar Belke & Thorsten Polleit, 2007. "How the ECB and the US Fed set interest rates," Applied Economics, Taylor & Francis Journals, vol. 39(17), pages 2197-2209.
    4. Gerberding, Christina & Worms, Andreas & Seitz, Franz, 2004. "How the Bundesbank really conducted monetary policy: An analysis based on real-time data," Discussion Paper Series 1: Economic Studies 2004,25, Deutsche Bundesbank.

  114. Buch, Claudia M. & Doepke, Joerg & Pierdzioch, Christian, 2002. "Business Cycle Volatility in Germany," Kiel Working Papers 1129, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Ulrich Fritsche & Vladimir Kuzin, 2005. "Declining Output Volatility in Germany: Impulses, Propagation, and the Role of the Monetary Policy," Money Macro and Finance (MMF) Research Group Conference 2005 70, Money Macro and Finance Research Group.
    2. Flor Michael, 2014. "Post reunification economic fluctuations in Germany: a real business cycle interpretation," Review of Business and Economics Studies, CyberLeninka;Федеральное государственное образовательное бюджетное учреждение высшего профессионального образования «Финансовый университет при Правительстве Российской Федерации» (Финансовый университет), issue 4, pages 5-17.
    3. Klaus Weyerstrass & Bas Aarle & Marcus Kappler & Atilim Seymen, 2011. "Business Cycle Synchronisation with(in) the Euro Area: in Search of a ‘Euro Effect’," Open Economies Review, Springer, vol. 22(3), pages 427-446, July.
    4. Christian Aßmann & Jens Hogrefe & Roman Liesenfeld, 2009. "The decline in German output volatility: a Bayesian analysis," Empirical Economics, Springer, vol. 37(3), pages 653-679, December.
    5. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    6. Wei, Shang-Jin & Prasad, Eswar & Rogoff, Kenneth & Kose, M. Ayhan, 2004. "Financial Globalization, Growth and Volatility in Developing Countries," CEPR Discussion Papers 4772, C.E.P.R. Discussion Papers.
    7. Stelios Bekiros & Syed Jawad Hussain Shahzad & Jose Arreola-Hernandez & Mobeen Ur Rehman, 2018. "Directional predictability and time-varying spillovers between stock markets and economic cycles," Post-Print hal-01996787, HAL.
    8. Timm Bönke & Carsten Schröder & Katharina Schulte, 2010. "Incomes and Inequality in the Long Run: The Case of German Elderly," German Economic Review, Verein für Socialpolitik, vol. 11(4), pages 487-510, November.
    9. Sandra Bilek-Steindl, 2011. "On the Change in the Austrian Business Cycle," WIFO Working Papers 384, WIFO.
    10. Claudia M. Buch & Martin Schlotter, 2008. "Regional Origins of Employment Volatility: Evidence from German States," CESifo Working Paper Series 2296, CESifo.
    11. Magnus Reif, 2021. "Time-Varying Dynamics of the German Business Cycle: A Comprehensive Investigation," CESifo Working Paper Series 9271, CESifo.
    12. Buch, Claudia M. & Döpke, Jörg & Stahn, Kerstin, 2008. "Great moderation at the firm level? Unconditional versus conditional output volatility," Discussion Paper Series 1: Economic Studies 2008,13, Deutsche Bundesbank.
    13. Strotmann, Harald & Döpke, Jörg & Buch, Claudia M., 2006. "Does trade openness increase firm-level volatility?," Discussion Paper Series 1: Economic Studies 2006,40, Deutsche Bundesbank.
    14. Hasan Engin Duran, 2019. "Structural change and output volatility reduction in OECD countries: evidence of the Second Great Moderation," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-14, December.
    15. Buch Claudia M & Doepke Joerg & Stahn Kerstin, 2009. "Great Moderation at the Firm Level? Unconditional vs. Conditional Output Volatility," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(1), pages 1-27, May.
    16. Eduardo A. Cavallo, 2007. "Output Volatility and Openness to Trade: A Reassessment," Research Department Publications 4518, Inter-American Development Bank, Research Department.
    17. Wolf Heinrich Reuter & Oļegs Tkačevs & Kārlis Vilerts, 2022. "Fiscal rules and volatility: the role of stabilising properties and compliance," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(1), pages 21-52, February.
    18. Konstantin A. Kholodilin & Erik Klär, 2007. "Dem Konjunkturzyklus auf der Spur: zur Prognose konjunktureller Wendepunkte in Deutschland," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 76(4), pages 8-20.
    19. William Martin & Robert Rowthorn, 2004. "Will Stability Last?," CESifo Working Paper Series 1324, CESifo.
    20. Strunz, Franziska & Gödl, Maximilian, 2023. "An Evaluation of Professional Forecasts for the German Economy," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277707, Verein für Socialpolitik / German Economic Association.
    21. Gochoco-Bautista, Maria Socorro & Remolona, Eli M., 2012. "Going Regional: How to Deepen ASEAN's Financial Markets," ADB Economics Working Paper Series 300, Asian Development Bank.
    22. Michael Flor, 2014. "Post Reunification Economic Fluctuations in Germany: A Real Business Cycle Interpretation," Working Papers 146, Bavarian Graduate Program in Economics (BGPE).
    23. Claudia M. Buch & Jörg Döpke & Harald Strotmann, 2009. "Does Export Openness Increase Firm‐level Output Volatility?," The World Economy, Wiley Blackwell, vol. 32(4), pages 531-551, April.
    24. Maria Socorro Gochoco‐Bautista & Dennis S. Mapa, 2010. "Linkages between Trade and Financial Integration and Output Growth in East Asia," Asian Economic Journal, East Asian Economic Association, vol. 24(1), pages 1-22, March.

  115. Buch, Claudia M. & Doepke, Joerg & Pierdzioch, Christian, 2002. "Business Cycle Volatility in Germany," Kiel Working Papers 1129, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Ulrich Fritsche & Vladimir Kuzin, 2005. "Declining Output Volatility in Germany: Impulses, Propagation, and the Role of the Monetary Policy," Money Macro and Finance (MMF) Research Group Conference 2005 70, Money Macro and Finance Research Group.
    2. Flor Michael, 2014. "Post reunification economic fluctuations in Germany: a real business cycle interpretation," Review of Business and Economics Studies, CyberLeninka;Федеральное государственное образовательное бюджетное учреждение высшего профессионального образования «Финансовый университет при Правительстве Российской Федерации» (Финансовый университет), issue 4, pages 5-17.
    3. Klaus Weyerstrass & Bas Aarle & Marcus Kappler & Atilim Seymen, 2011. "Business Cycle Synchronisation with(in) the Euro Area: in Search of a ‘Euro Effect’," Open Economies Review, Springer, vol. 22(3), pages 427-446, July.
    4. Christian Aßmann & Jens Hogrefe & Roman Liesenfeld, 2009. "The decline in German output volatility: a Bayesian analysis," Empirical Economics, Springer, vol. 37(3), pages 653-679, December.
    5. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    6. Wei, Shang-Jin & Prasad, Eswar & Rogoff, Kenneth & Kose, M. Ayhan, 2004. "Financial Globalization, Growth and Volatility in Developing Countries," CEPR Discussion Papers 4772, C.E.P.R. Discussion Papers.
    7. Stelios Bekiros & Syed Jawad Hussain Shahzad & Jose Arreola-Hernandez & Mobeen Ur Rehman, 2018. "Directional predictability and time-varying spillovers between stock markets and economic cycles," Post-Print hal-01996787, HAL.
    8. Timm Bönke & Carsten Schröder & Katharina Schulte, 2010. "Incomes and Inequality in the Long Run: The Case of German Elderly," German Economic Review, Verein für Socialpolitik, vol. 11(4), pages 487-510, November.
    9. Sandra Bilek-Steindl, 2011. "On the Change in the Austrian Business Cycle," WIFO Working Papers 384, WIFO.
    10. Claudia M. Buch & Martin Schlotter, 2008. "Regional Origins of Employment Volatility: Evidence from German States," CESifo Working Paper Series 2296, CESifo.
    11. Magnus Reif, 2021. "Time-Varying Dynamics of the German Business Cycle: A Comprehensive Investigation," CESifo Working Paper Series 9271, CESifo.
    12. Buch, Claudia M. & Döpke, Jörg & Stahn, Kerstin, 2008. "Great moderation at the firm level? Unconditional versus conditional output volatility," Discussion Paper Series 1: Economic Studies 2008,13, Deutsche Bundesbank.
    13. Strotmann, Harald & Döpke, Jörg & Buch, Claudia M., 2006. "Does trade openness increase firm-level volatility?," Discussion Paper Series 1: Economic Studies 2006,40, Deutsche Bundesbank.
    14. Hasan Engin Duran, 2019. "Structural change and output volatility reduction in OECD countries: evidence of the Second Great Moderation," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-14, December.
    15. Buch Claudia M & Doepke Joerg & Stahn Kerstin, 2009. "Great Moderation at the Firm Level? Unconditional vs. Conditional Output Volatility," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(1), pages 1-27, May.
    16. Eduardo A. Cavallo, 2007. "Output Volatility and Openness to Trade: A Reassessment," Research Department Publications 4518, Inter-American Development Bank, Research Department.
    17. Wolf Heinrich Reuter & Oļegs Tkačevs & Kārlis Vilerts, 2022. "Fiscal rules and volatility: the role of stabilising properties and compliance," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(1), pages 21-52, February.
    18. Konstantin A. Kholodilin & Erik Klär, 2007. "Dem Konjunkturzyklus auf der Spur: zur Prognose konjunktureller Wendepunkte in Deutschland," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 76(4), pages 8-20.
    19. William Martin & Robert Rowthorn, 2004. "Will Stability Last?," CESifo Working Paper Series 1324, CESifo.
    20. Strunz, Franziska & Gödl, Maximilian, 2023. "An Evaluation of Professional Forecasts for the German Economy," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277707, Verein für Socialpolitik / German Economic Association.
    21. Gochoco-Bautista, Maria Socorro & Remolona, Eli M., 2012. "Going Regional: How to Deepen ASEAN's Financial Markets," ADB Economics Working Paper Series 300, Asian Development Bank.
    22. Michael Flor, 2014. "Post Reunification Economic Fluctuations in Germany: A Real Business Cycle Interpretation," Working Papers 146, Bavarian Graduate Program in Economics (BGPE).
    23. Claudia M. Buch & Jörg Döpke & Harald Strotmann, 2009. "Does Export Openness Increase Firm‐level Output Volatility?," The World Economy, Wiley Blackwell, vol. 32(4), pages 531-551, April.
    24. Maria Socorro Gochoco‐Bautista & Dennis S. Mapa, 2010. "Linkages between Trade and Financial Integration and Output Growth in East Asia," Asian Economic Journal, East Asian Economic Association, vol. 24(1), pages 1-22, March.

  116. Pierdzioch, Christian & Döpke, Jörg & Buch, Claudia M., 2002. "Financial Openness and Business Cycle Volatility," Kiel Working Papers 1121, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Ćorić, Bruno & Pugh, Geoff, 2013. "Foreign direct investment and output growth volatility: A worldwide analysis," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 260-271.
    2. Iversen, Jens, 2009. "Should we expect financial globalization to have significant effects on business cycles?," Discussion Papers on Economics 6/2009, University of Southern Denmark, Department of Economics.
    3. M. Ayhan Kose & Eswar Prasad & Kenneth S. Rogoff & Shang-Jin Wei, 2006. "Financial Globalization: A Reappraisal," NBER Working Papers 12484, National Bureau of Economic Research, Inc.
    4. Dionysios K. Solomos & Dimitrios N. Koumparoulis, 2013. "Financial Sector and Business Cycles Determinants in the EMU: An Empirical Approach (1996-2011)," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 34-58.
    5. Atanas CHRISTEV & Jacques MELITZ, 2010. "EMU, EU, Capital Market Integration and Consumption Smoothing," Working Papers 2010-06, Center for Research in Economics and Statistics.
    6. Stephen G. Cecchetti & Alfonso Flores-Lagunes & Stefan Krause, 2006. "Assessing the Sources of Changes in the Volatility of Real Growth," NBER Working Papers 11946, National Bureau of Economic Research, Inc.
    7. Carmignani, Fabrizio & Colombo, Emilio & Tirelli, Patrizio, 2011. "Macroeconomic risk and the (de)stabilising role of government size," European Journal of Political Economy, Elsevier, vol. 27(4), pages 781-790.
    8. Yin-Wong Cheung & Kon S. Lai, 2009. "A Multiple-Horizon Search for the Role of Trade and Financial Factors in Bilateral Real Exchange Rate Volatility," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 5(2), pages 187-218, July.
    9. Kwang-Myoung Hwang & Donghyun Park & Kwanho Shin, 2013. "Capital Market Openness and Output Volatility," Pacific Economic Review, Wiley Blackwell, vol. 18(3), pages 403-430, August.
    10. Bhattacharya, Rudrani & Patnaik, Ila, 2013. "Credit constraints, productivity shocks and consumption volatility in emerging economies," Working Papers 13/121, National Institute of Public Finance and Policy.
    11. Anne Épaulard & Aude Pommeret, 2016. "Financial Integration, Growth and Volatility," Post-Print hal-01591446, HAL.
    12. Adina Ardelean & Miguel Leon-Ledesma & Laura Puzzello, 2017. "Industry Volatility and International Trade," Studies in Economics 1709, School of Economics, University of Kent.
    13. Yuan, Shenguo & Wu, Zhouheng & Liu, Lanfeng, 2022. "The effects of financial openness and financial efficiency on Chinese macroeconomic volatilities," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    14. Al-Abri, Almukhtar, 2013. "Real exchange rate volatility, terms-of-trade shocks, and financial integration in primary-commodity exporting economies," Economics Letters, Elsevier, vol. 120(1), pages 126-129.
    15. Ellyne, Mark & Chater, Rachel, 2013. "Exchange Controls and SADC Regional Integration: Measuring SADC Restrictiveness," MPRA Paper 58649, University Library of Munich, Germany.
    16. Adrian, Tobias & Vogt, Erik & Stackman, Daniel, 2019. "Global Price of Risk and Stabilization Policies," CEPR Discussion Papers 13435, C.E.P.R. Discussion Papers.
    17. Samsudin Hazman, 2016. "Can Greater Openness and Deeper Financial Development Drag ASEAN-5 into Another Series of Economic Crises?," Asian Social Science, Canadian Center of Science and Education, vol. 12(8), pages 125-125, August.
    18. Christev, Atanas & Melitz, Jacques, 2012. "EMU, EU, Market Integration and Consumption Smoothing," SIRE Discussion Papers 2012-76, Scottish Institute for Research in Economics (SIRE).
    19. Mr. Ayhan Kose & Mr. Christopher M Towe & Mr. Guy M Meredith, 2004. "How Has Nafta Affected the Mexican Economy? Review and Evidence," IMF Working Papers 2004/059, International Monetary Fund.
    20. König, Jörg & Ohr, Renate, 2012. "Homogeneous groups within a heterogeneous community: Evidence from an index measuring European economic integration," University of Göttingen Working Papers in Economics 138, University of Goettingen, Department of Economics.
    21. Wei, Shang-Jin & Prasad, Eswar & Rogoff, Kenneth & Kose, M. Ayhan, 2004. "Financial Globalization, Growth and Volatility in Developing Countries," CEPR Discussion Papers 4772, C.E.P.R. Discussion Papers.
    22. Mujahid, Hira & Alam, Shaista, 2014. "The impact of financial openness, trade openness on macroeconomic volatility in Pakistan: ARDL Co Integration approach," MPRA Paper 113234, University Library of Munich, Germany.
    23. Demir, Firat, 2006. "Volatility of short term capital flows and socio-political instability in Argentina, Mexico and Turkey," MPRA Paper 1943, University Library of Munich, Germany.
    24. Moore, Winston, 2010. "Managing the Process of Removing Capital Controls: What Does the Literature Suggest?," MPRA Paper 21584, University Library of Munich, Germany.
    25. Sandra Bilek-Steindl, 2011. "On the Change in the Austrian Business Cycle," WIFO Working Papers 384, WIFO.
    26. Andrew van Hulten & Michael Webber, 2010. "Do developing countries need 'good' institutions and policies and deep financial markets to benefit from capital account liberalization?," Journal of Economic Geography, Oxford University Press, vol. 10(2), pages 283-319, March.
    27. Raddant, Matthias & Kenett, Dror, 2016. "Interconnectedness in the global financial market," VfS Annual Conference 2016 (Augsburg): Demographic Change 145560, Verein für Socialpolitik / German Economic Association.
    28. Demirel Ufuk D, 2009. "The Transmission of Foreign Interest Rate Shocks to a Small-Open Economy: The Role of External Debt and Financial Integration," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-37, February.
    29. Claudia M. Buch & Martin Schlotter, 2008. "Regional Origins of Employment Volatility: Evidence from German States," CESifo Working Paper Series 2296, CESifo.
    30. Soyoung Kim & Sunghyun H. Kim, 2013. "International Capital Flows, Boom-Bust Cycles, And Business Cycle Synchronization In The Asia Pacific Region," Contemporary Economic Policy, Western Economic Association International, vol. 31(1), pages 191-211, January.
    31. Giovanna Vallanti, 2015. "International Capital Mobility and Unemployment Dynamics: Empirical Evidence from OECD Countries," Working Papers LuissLab 15123, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    32. Rodolfo Cermeño & María Roa García & Claudio González-Vega, 2012. "Financial Development and Volatility of Growth: Time Series Evidence for Mexico and USA," DEGIT Conference Papers c017_035, DEGIT, Dynamics, Economic Growth, and International Trade.
    33. Gnangnon, Sèna Kimm, 2023. "Effect of the duration of membership in the GATT/WTO on economic growth volatility," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 448-467.
    34. Ang, James B., 2011. "Finance and consumption volatility: Evidence from India," Journal of International Money and Finance, Elsevier, vol. 30(6), pages 947-964, October.
    35. Martin D. D. Evans & Viktoria Hnatkovska, 2005. "International Capital Flows, Returns and World Financial Integration," NBER Working Papers 11701, National Bureau of Economic Research, Inc.
    36. Mr. Marco Terrones & Mr. Eswar S Prasad & Mr. Ayhan Kose, 2003. "Financial Integration and Macroeconomic Volatility," IMF Working Papers 2003/050, International Monetary Fund.
    37. Kose, M. Ayhan & Prasad, Eswar S. & Terrones, Marco E., 2006. "How do trade and financial integration affect the relationship between growth and volatility?," Journal of International Economics, Elsevier, vol. 69(1), pages 176-202, June.
    38. M. Alper Çenesiz & Christian Pierdzioch, 2010. "Capital mobility and labor market volatility," International Economics and Economic Policy, Springer, vol. 7(4), pages 391-409, December.
    39. Dilip K. Das, 2010. "Financial globalization: a macroeconomic angle," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 2(4), pages 307-325, November.
    40. Yong Ma & Yiqing Jiang, 2023. "Gradual financial integration and macroeconomic fluctuations in emerging market economies: evidence from China," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 275-310, April.
    41. Li, Songsong & Xu, Nan & Hui, Xiaofeng, 2020. "International investors and the multifractality property: Evidence from accessible and inaccessible market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    42. Sèna Kimm Gnangnon, 2022. "Export diversification and financial openness," International Economics and Economic Policy, Springer, vol. 19(4), pages 675-717, October.
    43. Wang, Miao & Wong, M.C. Sunny & Granato, Jim, 2015. "International Comovement of Economic Fluctuations: A Spatial Analysis," World Development, Elsevier, vol. 67(C), pages 186-201.
    44. Douglas Sutherland & Peter Hoeller, 2013. "Growth-promoting Policies and Macroeconomic Stability," OECD Economics Department Working Papers 1091, OECD Publishing.
    45. Tharavanij, Piyapas, 2007. "Capital Market and Business Cycle Volatility," MPRA Paper 4952, University Library of Munich, Germany.
    46. Claudiu Tiberiu Albulescu & Nicolae Bogdan Ianc, 2016. "Fiscal Policy, Fdi And Macroeconomic Stabilization," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 18, pages 131-146, December.
    47. Solomos, Dionysios & Papageorgiou, Theofanis & Koumparoulis, Dimitrios, 2012. "Financial Sector and Business Cycles Determinants in the EMU context: An Empirical Approach (1996-2011)," MPRA Paper 43858, University Library of Munich, Germany.
    48. Ellyne, Mark & Chater, Rachel, 2013. "Exchange Control and SADC Regional Integration," MPRA Paper 46648, University Library of Munich, Germany.
    49. Rudrani Bhattacharya & Ila Patnaik & Madhavi Pundit, 2013. "Emerging Economy Business Cycles: Financial Integration and Terms of Trade Shocks," IMF Working Papers 2013/119, International Monetary Fund.
    50. Thomas Beissinger, 2006. "Neue Anforderungen an eine gesamtwirtschaftliche Stabilisierung," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 277/2006, Department of Economics, University of Hohenheim, Germany.
    51. Jörg König & Renate Ohr, 2013. "Different Efforts in European Economic Integration: Implications of the EU Index," Journal of Common Market Studies, Wiley Blackwell, vol. 51(6), pages 1074-1090, November.
    52. Spiliopoulos, Leonidas, 2010. "The determinants of macroeconomic volatility: A Bayesian model averaging approach," MPRA Paper 26832, University Library of Munich, Germany.
    53. Eduardo A. Cavallo, 2007. "Output Volatility and Openness to Trade: A Reassessment," Research Department Publications 4518, Inter-American Development Bank, Research Department.
    54. Hayakawa, Kazuhiko, 2016. "Improved GMM estimation of panel VAR models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 240-264.
    55. Barbara Meller, 2013. "The two-sided effect of financial globalization on output volatility," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 149(3), pages 477-504, September.
    56. İrem Zeyneloğlu & Gilbert Koenig, 2016. "Recent Economic Developments and the Implications for Fiscal Policy in Open Economy Macroeconomics," Revue d'économie politique, Dalloz, vol. 126(6), pages 1023-1056.
    57. James H. Stock & Mark W. Watson, 2003. "Has the business cycle changed?," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 9-56.
    58. Li, Jie & Li, Guangzhong & Zhou, Yinggang, 2015. "Do securitized real estate markets jump? International evidence," Pacific-Basin Finance Journal, Elsevier, vol. 31(C), pages 13-35.
    59. Franz R. Hahn, 2003. "Financial Development and Macroeconomic Volatility. Evidence from OECD Countries," WIFO Working Papers 198, WIFO.
    60. Andrew K. Rose & Mark M. Spiegel, 2007. "International financial remoteness and macroeconomic volatility," Working Paper Series 2008-01, Federal Reserve Bank of San Francisco.
    61. Douglas Sutherland & Peter Hoeller, 2014. "Growth Policies and Macroeconomic Stability," OECD Economic Policy Papers 8, OECD Publishing.
    62. William Martin & Robert Rowthorn, 2004. "Will Stability Last?," CESifo Working Paper Series 1324, CESifo.
    63. König, Jörg & Ohr, Renate, 2012. "Messung ökonomischer Integration in der Europäischen Union: Entwicklung eines EU-Integrationsindexes," University of Göttingen Working Papers in Economics 135, University of Goettingen, Department of Economics.
    64. Eozenou, Patrick, 2008. "Financial Integration and Macroeconomic Volatility: Does Financial Development Matter?," MPRA Paper 12738, University Library of Munich, Germany.
    65. Rogoff, Kenneth & Wei, Shang-Jin & Prasad, Eswar & Kose, M. Ayhan, 2009. "Financial Globalization and Economic Policies," CEPR Discussion Papers 7117, C.E.P.R. Discussion Papers.
    66. Mirdala, Rajmund & Svrčeková, Aneta, 2014. "Financial Integration, Volatility of Financial Flows and Macroeconomic Volatility," MPRA Paper 61845, University Library of Munich, Germany.
    67. Guglielmo Maria Caporale & Thouraya Hadj Amor & Christophe Rault, 2011. "Sources of Real Exchange Rate Volatility and International Financial Integration: A Dynamic GMM Panel Approach," CESifo Working Paper Series 3645, CESifo.
    68. Rudrani Bhattacharya & Ila Patnaik, 2013. "Credit Constraints, Productivity Shocks and Consumption Volatility in Emerging Economies," IMF Working Papers 2013/120, International Monetary Fund.
    69. Kose, M. Ayhan & Rebucci, Alessandro, 2005. "How might CAFTA change macroeconomic fluctuations in Central America?: Lessons from NAFTA," Journal of Asian Economics, Elsevier, vol. 16(1), pages 77-104, February.
    70. Ko, Kwan Wai, 2008. "Financial integration, information and communication technology, and macroeconomic volatility: Evidence from ten Asian economies," Research in International Business and Finance, Elsevier, vol. 22(2), pages 124-144, June.
    71. Cakici, S. Meral, 2011. "Financial integration and business cycles in a small open economy," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1280-1302.
    72. Minica Mirela & Frant Florin, 2009. "Financial Globalisation," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 207-211, May.
    73. De Nicolò, Gianni & Juvenal, Luciana, 2014. "Financial integration, globalization, and real activity," Journal of Financial Stability, Elsevier, vol. 10(C), pages 65-75.
    74. Ma, Yong & Jiang, Yiqing & Yao, Chi, 2022. "Trade openness, financial openness, and macroeconomic volatility," Economic Systems, Elsevier, vol. 46(1).
    75. Mehmet Barıs Aslan, 2020. "An Econometric Analysis on the Relationship of Economic Liberalization with Real Exchange Rate," Bingol University Journal of Economics and Administrative Sciences, Bingol University, Faculty of Economics and Administrative Sciences, vol. 4(2), pages 271-290, December.
    76. Sun, Zhaojun & Xu, Xiaoguang & Yang, Wen, 2022. "Capital account liberalization, external shocks and economic fluctuations of China," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 220-240.
    77. Marta Arespa, 2015. "Macroeconomic Volatility And International Integration," Bulletin of Economic Research, Wiley Blackwell, vol. 67(4), pages 393-410, October.
    78. Viktoria Hnatkovska & Martin Evans, 2005. "International Capital Flows in a World of Greater Financial Integration," Computing in Economics and Finance 2005 419, Society for Computational Economics.
    79. Sturn, Simon & Epstein, Gerald, 2021. "How much should we trust five-year averaging to purge business cycle effects? A reassessment of the finance-growth and capital accumulation-unemployment nexus," Economic Modelling, Elsevier, vol. 96(C), pages 242-256.
    80. Henry Kim & Soyoung Kim & Yunjong Wang, 2005. "International Capital Flows and Boom-Bust Cycles in the Asia Pacific Region," Discussion Papers Series, Department of Economics, Tufts University 0506, Department of Economics, Tufts University.
    81. Pradipta Kumar Sahoo & D. Tripati Rao & Badri Narayan Rath, 2019. "Does Financial Integration Reduce Output Volatility? New Evidence from Cross‐Country Data," Economic Papers, The Economic Society of Australia, vol. 38(1), pages 41-55, March.
    82. Ductor, Lorenzo & Leiva-León, Danilo, 2022. "Fluctuations in global output volatility," Journal of International Money and Finance, Elsevier, vol. 120(C).
    83. Iwata, Shigeru & Wu, Shu, 2009. "Stock market liberalization and international risk sharing," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(3), pages 461-476, July.
    84. Viorica CHIRILA, 2011. "The Modelling of the Volatility of Business cycles in Romania," EuroEconomica, Danubius University of Galati, issue 30, pages 138-147, November.
    85. Rodolfo Cermeño Bazán & María Roa García & Claudio González Vega, 2012. "Financial Development and Growth Volatility: Time Series Evidence for Mexico and The United States," Working papers DTE 544, CIDE, División de Economía.
    86. Juha Tervala, 2008. "Fiscal policy and direct crowding-out in a small open economy," International Economics and Economic Policy, Springer, vol. 5(3), pages 255-268, November.
    87. Klomp, Jeroen & de Haan, Jakob, 2009. "Political institutions and economic volatility," European Journal of Political Economy, Elsevier, vol. 25(3), pages 311-326, September.
    88. Cakici, S. Meral, 2012. "Technology shocks under varying degrees of financial openness," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 232-245.
    89. Ang, James, 2009. "Growth Volatility and Financial Repression: Time Series Evidence from India," MPRA Paper 14412, University Library of Munich, Germany.

  117. Pierdzioch, Christian & Kamps, Christophe, 2002. "Monetary Policy Rules and Oil Price Shocks," Kiel Working Papers 1090, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Romain Duval & Lukas Vogel, 2008. "Oil Price Shocks, Rigidities and the Conduct of Monetary Policy: Some Lessons from a New Keynesian Perspective," OECD Economics Department Working Papers 603, OECD Publishing.
    2. Mr. Alfredo Cuevas & Secil Topak, 2008. "Monetary Policy and Relative Price Shocks in South Africa and Other Inflation Targeters," IMF Working Papers 2008/289, International Monetary Fund.
    3. Gern, Klaus-Jürgen & Kamps, Christophe & Scheide, Joachim, 2002. "Euroland: der Aufschwung beginnt," Open Access Publications from Kiel Institute for the World Economy 2745, Kiel Institute for the World Economy (IfW Kiel).
    4. Romain Duval & Lukas Vogel, 2012. "How Do Nominal and Real Rigidities Interact? A Tale of the Second Best," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(7), pages 1455-1474, October.
    5. Roman E. Romero, 2008. "Monetary Policy in Oil-Producing Economies," Working Papers 1053, Princeton University, Department of Economics, Center for Economic Policy Studies..
    6. Baas, Timo & Belke, Ansgar, 2017. "Oil price shocks, monetary policy and current account imbalances within a currency union," Ruhr Economic Papers 740, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    7. Schmidt, Torsten & Zimmermann, Tobias, 2007. "Why are the Effects of Recent Oil Price Shocks so Small?," Ruhr Economic Papers 29, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. Wohltmann, Hans-Werner & Winkler, Roland C., 2005. "Oil Price Shocks and Currency Denomination," Economics Working Papers 2005-10, Christian-Albrechts-University of Kiel, Department of Economics.
    9. Liu, Jing-Yu & Lin, Shih-Mo & Xia, Yan & Fan, Ying & Wu, Jie, 2015. "A financial CGE model analysis: Oil price shocks and monetary policy responses in China," Economic Modelling, Elsevier, vol. 51(C), pages 534-543.
    10. Safdari Mehdi, 2011. "A Study Examining the Effects of Oil Export in Iran," Journal of Social and Development Sciences, AMH International, vol. 2(2), pages 58-65.

  118. Pierdzioch, Christian, 2002. "Financial Market Integration and Business Cycle Volatility in a Monetary Union," Kiel Working Papers 1115, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Tomasz Michalak & Jacob Engwerda & Joseph Plasmans, 2009. "Strategic Interactions between Fiscal and Monetary Authorities in a Multi-Country New-Keynesian Model of a Monetary Union," CESifo Working Paper Series 2534, CESifo.
    2. Koenig, Gilbert & Zeyneloglu, Irem, 2010. "When does financial integration matter for fiscal policy in a currency union? A welfare-based approach," Economic Modelling, Elsevier, vol. 27(3), pages 620-630, May.

  119. Pierdzioch, Christian & Kamps, Christophe, 2002. "Monetary Policy Rules and Oil Price Shocks," Kiel Working Papers 1090, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Romain Duval & Lukas Vogel, 2008. "Oil Price Shocks, Rigidities and the Conduct of Monetary Policy: Some Lessons from a New Keynesian Perspective," OECD Economics Department Working Papers 603, OECD Publishing.
    2. Mr. Alfredo Cuevas & Secil Topak, 2008. "Monetary Policy and Relative Price Shocks in South Africa and Other Inflation Targeters," IMF Working Papers 2008/289, International Monetary Fund.
    3. Gern, Klaus-Jürgen & Kamps, Christophe & Scheide, Joachim, 2002. "Euroland: der Aufschwung beginnt," Open Access Publications from Kiel Institute for the World Economy 2745, Kiel Institute for the World Economy (IfW Kiel).
    4. Romain Duval & Lukas Vogel, 2012. "How Do Nominal and Real Rigidities Interact? A Tale of the Second Best," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(7), pages 1455-1474, October.
    5. Roman E. Romero, 2008. "Monetary Policy in Oil-Producing Economies," Working Papers 1053, Princeton University, Department of Economics, Center for Economic Policy Studies..
    6. Baas, Timo & Belke, Ansgar, 2017. "Oil price shocks, monetary policy and current account imbalances within a currency union," Ruhr Economic Papers 740, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    7. Schmidt, Torsten & Zimmermann, Tobias, 2007. "Why are the Effects of Recent Oil Price Shocks so Small?," Ruhr Economic Papers 29, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. Wohltmann, Hans-Werner & Winkler, Roland C., 2005. "Oil Price Shocks and Currency Denomination," Economics Working Papers 2005-10, Christian-Albrechts-University of Kiel, Department of Economics.
    9. Liu, Jing-Yu & Lin, Shih-Mo & Xia, Yan & Fan, Ying & Wu, Jie, 2015. "A financial CGE model analysis: Oil price shocks and monetary policy responses in China," Economic Modelling, Elsevier, vol. 51(C), pages 534-543.
    10. Safdari Mehdi, 2011. "A Study Examining the Effects of Oil Export in Iran," Journal of Social and Development Sciences, AMH International, vol. 2(2), pages 58-65.

  120. Frenkel, Michael & Pierdzioch, Christian & Stadtmann, Georg, 2002. "The Accuracy of Press Reports Regarding the Foreign Exchange Interventions of the Bank of Japan," Kiel Working Papers 1108, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Michel Beine & Agnes Bénassy-Quéré & Ronald MacDonald, 2007. "The impact of Central Bank intervention on exchange rate forecasts heterogeneity," ULB Institutional Repository 2013/10423, ULB -- Universite Libre de Bruxelles.
    2. Eric Hillebrand & Gunther Schnabl, 2003. "The Effects of Japanese Foreign Exchange Intervention: GARCH Estimation and Change Point Detection," Departmental Working Papers 2003-09, Department of Economics, Louisiana State University.
    3. Lukas Menkhoff, 2008. "High-Frequency Analysis of Foreign Exchange Interventions: What do we learn?," CESifo Working Paper Series 2473, CESifo.
    4. Kim, Suk-Joong, 2007. "Intraday evidence of efficacy of 1991-2004 Yen intervention by the Bank of Japan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(4), pages 341-360, October.
    5. Frenkel, Michael & Pierdzioch, Christian & Stadtmann, Georg, 2006. "The transparency of the ECB policy: What can we learn from its foreign exchange market interventions?," Journal of Policy Modeling, Elsevier, vol. 28(2), pages 141-156, February.
    6. Castillo-Maldonado, Carlos Eduardo, 2008. "Intervención cambiaria en Guatemala: ¿Ha sido efectiva? [Foreign Exchange Market Intervention in Guatemala: Has it been Effective?]," MPRA Paper 79038, University Library of Munich, Germany.
    7. Menkhoff, Lukas & Rebitzky, Rafael R. & Schröder, Michael, 2009. "Heterogeneity in exchange rate expectations: Evidence on the chartist-fundamentalist approach," Journal of Economic Behavior & Organization, Elsevier, vol. 70(1-2), pages 241-252, May.
    8. Chang, Yuanchen, 2006. "The accuracy of reports of foreign exchange intervention by the Bank of Japan: Does Tokyo know more?," Journal of International Money and Finance, Elsevier, vol. 25(8), pages 1241-1256, December.
    9. Hartmann, Daniel & Pierdzioch, Christian, 2007. "Exchange rates, interventions, and the predictability of stock returns in Japan," Journal of Multinational Financial Management, Elsevier, vol. 17(2), pages 155-172, April.
    10. Andreas M. Fischer, 2005. "On the Inadequacy of Newswire Reports for Empirical Research on Foreign Exchange Interventions," Working Papers 2005-02, Swiss National Bank.
    11. Jean-Yves Gnabo & J�rôme Lahaye & S�bastien Laurent & Christelle Lecourt, 2012. "Do jumps mislead the FX market?," Quantitative Finance, Taylor & Francis Journals, vol. 12(10), pages 1521-1532, October.
    12. Huang, Zhaodan, 2007. "The central bank and speculators in the foreign exchange market under asymmetric information: A strategic approach and evidence," Journal of Economics and Business, Elsevier, vol. 59(1), pages 28-50.
    13. Kitamura, Yoshihiro, 2016. "Does the simple microstructure model tell the time of the FX intervention? A one day analysis of the Japanese FX intervention," Research in International Business and Finance, Elsevier, vol. 36(C), pages 436-446.
    14. Frenkel Michael & Stadtmann Georg, 2004. "Trading Rule Profitability and Central Bank Interventions in the Dollar-Deutsch mark Market / Der Zusammenhang zwischen der Profitabilität einer technischen Handelsstrategie und Zentralbankinterventio," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 224(6), pages 653-672, December.
    15. Michel Beine & Christelle Lecourt, 2004. "Reported and secret interventions in the foreign exchange market," ULB Institutional Repository 2013/10427, ULB -- Universite Libre de Bruxelles.
    16. Jean-Yves Gnabo & Christelle Lecourt, 2008. "Foreign Exchange Intervention Policy: With or Without Transparency? The Case of Japan," Economie Internationale, CEPII research center, issue 113, pages 5-34.
    17. Gnabo, Jean-Yves & Laurent, Sébastien & Lecourt, Christelle, 2009. "Does transparency in central bank intervention policy bring noise to the FX market?: The case of the Bank of Japan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(1), pages 94-111, February.

  121. Pierdzioch, Christian, 2002. "Financial Market Integration and Business Cycle Volatility in a Monetary Union," Kiel Working Papers 1115, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Tomasz Michalak & Jacob Engwerda & Joseph Plasmans, 2009. "Strategic Interactions between Fiscal and Monetary Authorities in a Multi-Country New-Keynesian Model of a Monetary Union," CESifo Working Paper Series 2534, CESifo.
    2. Koenig, Gilbert & Zeyneloglu, Irem, 2010. "When does financial integration matter for fiscal policy in a currency union? A welfare-based approach," Economic Modelling, Elsevier, vol. 27(3), pages 620-630, May.

  122. Frenkel, Michael & Stadtmann, Georg & Pierdzioch, Christian, 2001. "The interventions of the European Central Bank: Effects, effectiveness, and policy implications," Research Notes 01-2, Deutsche Bank Research.

    Cited by:

    1. Michel Beine & Agnes Bénassy-Quéré & Ronald MacDonald, 2007. "The impact of Central Bank intervention on exchange rate forecasts heterogeneity," ULB Institutional Repository 2013/10423, ULB -- Universite Libre de Bruxelles.
    2. Michel Beine & Ariane Szafarz, 2003. "The design of effective Central Bank interventions: the yen/dollar case," Working Papers CEB 03-008.RS, ULB -- Universite Libre de Bruxelles.

  123. Döpke, Jörg & Pierdzioch, Christian, 2001. "Inflation and the Skewness of the Distribution of Relative Price Changes: Empirical Evidence for Germany," Kiel Working Papers 1059, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Praggya Das & Asish Thomas George, 2017. "Comparison of Consumer and Wholesale Prices Indices in India: An Analysis of Properties and Sources of Divergence," Working Papers id:11981, eSocialSciences.

  124. Döpke, Jörg & Pierdzioch, Christian, 2001. "Inflation and the Skewness of the Distribution of Relative Price Changes: Empirical Evidence for Germany," Kiel Working Papers 1059, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Praggya Das & Asish Thomas George, 2017. "Comparison of Consumer and Wholesale Prices Indices in India: An Analysis of Properties and Sources of Divergence," Working Papers id:11981, eSocialSciences.

  125. Döpke, Jörg & Pierdzioch, Christian, 2000. "Stock Market Dispersion, Sectoral Shocks, and the German Business Cycle," Kiel Working Papers 966, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Xolani Sibande & Rangan Gupta & Mark E. Wohar, 2018. "Time-Varying Causal Relationship between Stock Market and Unemployment in the United Kingdom: Historical Evidence from 1855 to 2017," Working Papers 201863, University of Pretoria, Department of Economics.

  126. Döpke, Jörg & Pierdzioch, Christian, 2000. "Stock Market Dispersion, Sectoral Shocks, and the German Business Cycle," Kiel Working Papers 966, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Xolani Sibande & Rangan Gupta & Mark E. Wohar, 2018. "Time-Varying Causal Relationship between Stock Market and Unemployment in the United Kingdom: Historical Evidence from 1855 to 2017," Working Papers 201863, University of Pretoria, Department of Economics.

  127. Döpke, Jörg & Pierdzioch, Christian, 1999. "What can the ECB learn from Bundesbank interventions? Evidence on the link between exchange rate volatility and interventions," Kiel Working Papers 955, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Peter Brandner & Harald Grech & Helmut Stix, 2001. "The Effectiveness of Central Bank Intervention in the EMS: The Post 1993 Experience," Working Papers 55, Oesterreichische Nationalbank (Austrian Central Bank).
    2. Peter Brandner & Harald Grech, 2002. "Why Did Central Banks Intervene in the EMS? The Post-1993 Experience," WIFO Working Papers 192, WIFO.
    3. Pierdzioch, Christian, 2000. "The Effectiveness of the FX Market Interventions of the Bundesbank During the Louvre Period: An Options-Based Analysis," Kiel Working Papers 971, Kiel Institute for the World Economy (IfW Kiel).

  128. Pierdzioch, Christian, 1998. "Irreversibility, endogenous mean reversion, and the investment decision of a foreign firm," Kiel Working Papers 847, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Buch, Claudia M. & Heinrich, Ralph P. & Pierdzioch, Christian, 1998. "The value of waiting: Russia's integration into the international capital markets," Kiel Working Papers 860, Kiel Institute for the World Economy (IfW Kiel).

  129. Buch, Claudia M. & Heinrich, Ralph P. & Pierdzioch, Christian, 1998. "Taxing short-term capital flows - An option for transition economies?," Kiel Discussion Papers 321, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. M. Buch, Claudia & Hanschel, Elke, 2000. "The Effectiveness of Capital Controls: The Case of Slovenia," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 15, pages 602-628.
    2. Florian Neagu, 2003. "Net Foreign Assets Management and Capital Account Liberalization. The Romanian Case," Finance 0311002, University Library of Munich, Germany.
    3. Nunnenkamp, Peter, 1998. "Wirtschaftliche Aufholprozesse und Globalisierungskrisen in Entwicklungsländern: Implikationen für die nationale Wirtschaftspolitik und den globalen Ordnungsrahmen," Kiel Discussion Papers 328, Kiel Institute for the World Economy (IfW Kiel).
    4. Sell, Friedrich L., 2004. "Währungspolitik im Dienste von Entwicklung: Immer noch ein Forschungsprogramm!," Working Papers in Economics 2004,2, Bundeswehr University Munich, Economic Research Group.
    5. Buch, Claudia M., 1999. "Chilean-type capital controls: A building block of the new international financial architecture?," Kiel Discussion Papers 350, Kiel Institute for the World Economy (IfW Kiel).
    6. Nunnenkamp, Peter, 2000. "Boom, bust, recovery – What next in private capital flows to emerging markets?," Kiel Discussion Papers 362, Kiel Institute for the World Economy (IfW Kiel).
    7. Nunnenkamp, Peter, 2001. "Liberalization and regulation of international capital flows: where the opposites meet," Kiel Working Papers 1029, Kiel Institute for the World Economy (IfW Kiel).
    8. Mr. Christiane Nickel & Mr. Günter Schmidt & Mr. Georg Stadtmann & Mr. Michael Frenkel, 2001. "The Effects of Capital Controls on Exchange Rate Volatility and Output," IMF Working Papers 2001/187, International Monetary Fund.
    9. M. Frenkel & G. Shimidt & G. Stadtmann & Nickle Christiane, 2002. "The Effects of Capital Controls on Exchange Rate Volatility and Output," International Economic Journal, Taylor & Francis Journals, vol. 16(4), pages 27-51.
    10. Rangel José Gonzalo & Ramírez Claudia & Abarca Gustavo, 2012. "Capital Controls and Exchange Rate Expectations in Emerging Markets," Working Papers 2012-08, Banco de México.
    11. Buch, Claudia M. & Heinrich, Ralph P. & Pierdzioch, Christian, 2001. "Globalisierung der Finanzmärkte: Freier Kapitalverkehr oder Tobin-Steuer?," Kiel Discussion Papers 381, Kiel Institute for the World Economy (IfW Kiel).

  130. Pierdzioch, Christian, 1998. "Irreversibility, endogenous mean reversion, and the investment decision of a foreign firm," Kiel Working Papers 847, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Buch, Claudia M. & Heinrich, Ralph P. & Pierdzioch, Christian, 1998. "The value of waiting: Russia's integration into the international capital markets," Kiel Working Papers 860, Kiel Institute for the World Economy (IfW Kiel).

Articles

  1. Rangan Gupta & Yuvana Jaichand & Christian Pierdzioch & Reneé van Eyden, 2023. "Realized Stock-Market Volatility of the United States and the Presidential Approval Rating," Mathematics, MDPI, vol. 11(13), pages 1-27, July.
    See citations under working paper version above.
  2. Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2023. "Investor Confidence and Forecastability of US Stock Market Realized Volatility: Evidence from Machine Learning," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 24(1), pages 111-122, January.
    See citations under working paper version above.
  3. Afees A. Salisu & Christian Pierdzioch & Rangan Gupta & Reneé van Eyden, 2023. "Climate risks and U.S. stock‐market tail risks: A forecasting experiment using over a century of data," International Review of Finance, International Review of Finance Ltd., vol. 23(2), pages 228-244, June.
    See citations under working paper version above.
  4. Bonato, Matteo & Cepni, Oguzhan & Gupta, Rangan & Pierdzioch, Christian, 2023. "Climate risks and state-level stock market realized volatility," Journal of Financial Markets, Elsevier, vol. 66(C).
    See citations under working paper version above.
  5. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2023. "Climate Risks and Forecasting Stock Market Returns in Advanced Economies over a Century," Mathematics, MDPI, vol. 11(9), pages 1-21, April.
    See citations under working paper version above.
  6. Matteo Bonato & Oğuzhan Çepni & Rangan Gupta & Christian Pierdzioch, 2023. "El Niño, La Niña, and forecastability of the realized variance of agricultural commodity prices: Evidence from a machine learning approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 785-801, July.
    See citations under working paper version above.
  7. Bonato, Matteo & Cepni, Oguzhan & Gupta, Rangan & Pierdzioch, Christian, 2023. "Climate risks and realized volatility of major commodity currency exchange rates," Journal of Financial Markets, Elsevier, vol. 62(C).
    See citations under working paper version above.
  8. Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2023. "Drivers of Realized Volatility for Emerging Countries with a Focus on South Africa: Fundamentals versus Sentiment," Mathematics, MDPI, vol. 11(6), pages 1-26, March.

    Cited by:

    1. Kejin Wu & Sayar Karmakar & Rangan Gupta & Christian Pierdzioch, 2023. "Climate Risks and Stock Market Volatility Over a Century in an Emerging Market Economy: The Case of South Africa," Working Papers 202326, University of Pretoria, Department of Economics.

  9. Riza Demirer & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2022. "Risk aversion and the predictability of crude oil market volatility: A forecasting experiment with random forests," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(8), pages 1755-1767, August.
    See citations under working paper version above.
  10. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2022. "Forecasting realized volatility of international REITs: The role of realized skewness and realized kurtosis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 303-315, March.
    See citations under working paper version above.
  11. Çepni, Oğuzhan & Gupta, Rangan & Pienaar, Daniel & Pierdzioch, Christian, 2022. "Forecasting the realized variance of oil-price returns using machine learning: Is there a role for U.S. state-level uncertainty?," Energy Economics, Elsevier, vol. 114(C).
    See citations under working paper version above.
  12. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2022. "Uncertainty and forecastability of regional output growth in the UK: Evidence from machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1049-1064, September.

    Cited by:

    1. Eren Bas & Erol Eğrioğlu, 2023. "A new recurrent pi‐sigma artificial neural network inspired by exponential smoothing feedback mechanism," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 802-812, July.

  13. Alexander Foltas & Christian Pierdzioch, 2022. "On the efficiency of German growth forecasts: an empirical analysis using quantile random forests and density forecasts," Applied Economics Letters, Taylor & Francis Journals, vol. 29(17), pages 1644-1653, October.

    Cited by:

    1. Pierdzioch, Christian, 2023. "A bootstrap-based efficiency test of growth and inflation forecasts for Germany," Economics Letters, Elsevier, vol. 224(C).

  14. Gupta, Rangan & Pierdzioch, Christian, 2022. "Climate risks and forecastability of the realized volatility of gold and other metal prices," Resources Policy, Elsevier, vol. 77(C).
    See citations under working paper version above.
  15. Salisu, Afees A. & Gupta, Rangan & Pierdzioch, Christian, 2022. "Predictability of tail risks of Canada and the U.S. Over a Century: The role of spillovers and oil tail Risks☆," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).

    Cited by:

    1. Afees A. Salisu & Rangan Gupta & Elie Bouri, 2022. "Testing the Forecasting Power of Global Economic Conditions for the Volatility of International REITs using a GARCH-MIDAS Approach," Working Papers 202211, University of Pretoria, Department of Economics.
    2. Salisu, Afees A. & Bouri, Elie & Gupta, Rangan, 2022. "Out-of-sample predictability of gold market volatility: The role of US Nonfarm Payroll," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 482-488.
    3. 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).
    4. Adediran, Idris A. & Swaray, Raymond, 2023. "Carbon trading amidst global uncertainty: The role of policy and geopolitical uncertainty," Economic Modelling, Elsevier, vol. 123(C).

  16. 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.
    See citations under working paper version above.
  17. Gupta, Rangan & Pierdzioch, Christian & Salisu, Afees A., 2022. "Oil-price uncertainty and the U.K. unemployment rate: A forecasting experiment with random forests using 150 years of data," Resources Policy, Elsevier, vol. 77(C).
    See citations under working paper version above.
  18. Rangan Gupta & Hardik A. Marfatia & Christian Pierdzioch & Afees A. Salisu, 2022. "Machine Learning Predictions of Housing Market Synchronization across US States: The Role of Uncertainty," The Journal of Real Estate Finance and Economics, Springer, vol. 64(4), pages 523-545, May.
    See citations under working paper version above.
  19. Salisu, Afees A. & Pierdzioch, Christian & Gupta, Rangan, 2022. "Oil tail risks and the forecastability of the realized variance of oil-price: Evidence from over 150 years of data," Finance Research Letters, Elsevier, vol. 46(PB).
    See citations under working paper version above.
  20. 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).
    See citations under working paper version above.
  21. Syed Jawad Hussain Shahzad & Rangan Gupta & Riza Demirer & Christian Pierdzioch, 2022. "Oil shocks and directional predictability of macroeconomic uncertainties of developed economies: Evidence from high‐frequency data†," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(2), pages 169-185, May.

    Cited by:

    1. Chen, Chun-Da & Demirer, Rıza, 2022. "Oil beta uncertainty and global stock returns," Energy Economics, Elsevier, vol. 112(C).

  22. Alexander Foltas & Christian Pierdzioch, 2022. "Business-cycle reports and the efficiency of macroeconomic forecasts for Germany," Applied Economics Letters, Taylor & Francis Journals, vol. 29(10), pages 867-872, June.
    See citations under working paper version above.
  23. Riza Demirer & Rangan Gupta & Christian Pierdzioch & Syed Jawad Hussain Shahzad, 2021. "A note on oil price shocks and the forecastability of gold realized volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 28(21), pages 1889-1897, December.
    See citations under working paper version above.
  24. Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian & Yoon, Seong-Min, 2021. "OPEC news and jumps in the oil market," Energy Economics, Elsevier, vol. 96(C).
    See citations under working paper version above.
  25. 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.
    See citations under working paper version above.
  26. Bouri, Elie & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2021. "Forecasting power of infectious diseases-related uncertainty for gold realized variance," Finance Research Letters, Elsevier, vol. 42(C).

    Cited by:

    1. Semei Coronado & Jose N. Martinez & Victor Gualajara & Rafael Romero-Meza & Omar Rojas, 2023. "Time-Varying Granger Causality of COVID-19 News on Emerging Financial Markets: The Latin American Case," Mathematics, MDPI, vol. 11(2), pages 1-18, January.
    2. Freire, Gustavo, 2021. "Tail risk and investors’ concerns: Evidence from Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    3. Wang, Jying-Nan & Lee, Yen-Hsien & Liu, Hung-Chun & Lee, Ming-Chih, 2022. "The determinants of positive feedback trading behaviors in Bitcoin markets," Finance Research Letters, Elsevier, vol. 45(C).
    4. Afees A. Salisu & Rangan Gupta & Sayar Karmakar & Sonali Das, 2021. "Forecasting Output Growth of Advanced Economies Over Eight Centuries: The Role of Gold Market Volatility as a Proxy of Global Uncertainty," Working Papers 202133, University of Pretoria, Department of Economics.
    5. Castillo, Brenda & León, Ángel & Ñíguez, Trino-Manuel, 2021. "Backtesting VaR under the COVID-19 sudden changes in volatility," Finance Research Letters, Elsevier, vol. 43(C).
    6. Gök, Remzi & Bouri, Elie & Gemici, Eray, 2022. "Can Twitter-based economic uncertainty predict safe-haven assets under all market conditions and investment horizons?," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    7. Al Rababa'a, Abdel Razzaq & Alomari, Mohammad & Mensi, Walid & Matar, Ali & Saidat, Zaid, 2021. "Does tracking the infectious diseases impact the gold, oil and US dollar returns and correlation? A quantile regression approach," Resources Policy, Elsevier, vol. 74(C).
    8. Celso-Arellano, Pedro & Gualajara, Victor & Coronado, Semei & Martinez, Jose N. & Venegas-Martínez, Francisco, 2023. "Impact of the global fear index (covid-19 panic) on the S&P global indices associated with natural resources, agribusiness, energy, metals and mining: Granger Causality and Shannon and Rényi Transfer ," MPRA Paper 117138, University Library of Munich, Germany, revised 06 Feb 2023.
    9. Shang, Yue & Wei, Yu & Chen, Yongfei, 2022. "Cryptocurrency policy uncertainty and gold return forecasting: A dynamic Occam's window approach," Finance Research Letters, Elsevier, vol. 50(C).
    10. Iyer, Subramanian Rama & Simkins, Betty J., 2022. "COVID-19 and the Economy: Summary of research and future directions," Finance Research Letters, Elsevier, vol. 47(PB).
    11. Dash, Saumya Ranjan & Maitra, Debasish, 2022. "The COVID-19 pandemic uncertainty, investor sentiment, and global equity markets: Evidence from the time-frequency co-movements," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    12. Imran Yousaf & Vasilios Plakandaras & Elie Bouri & Rangan Gupta, 2022. "Hedge and Safe Haven Properties of Gold, US Treasury, Bitcoin, and Dollar/CHF against the FAANA Companies and S&P 500," Working Papers 202227, University of Pretoria, Department of Economics.
    13. Yousaf, Imran & Plakandaras, Vasilios & Bouri, Elie & Gupta, Rangan, 2023. "Hedge and safe-haven properties of FAANA against gold, US Treasury, bitcoin, and US Dollar/CHF during the pandemic period," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    14. Esam Mahdi & Ameena Al-Abdulla, 2022. "Impact of COVID-19 Pandemic News on the Cryptocurrency Market and Gold Returns: A Quantile-on-Quantile Regression Analysis," Econometrics, MDPI, vol. 10(2), pages 1-14, June.
    15. Ştefan Cristian Gherghina & Liliana Nicoleta Simionescu, 2023. "Exploring the asymmetric effect of COVID-19 pandemic news on the cryptocurrency market: evidence from nonlinear autoregressive distributed lag approach and frequency domain causality," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-58, December.
    16. Elie Bouri & Rangan Gupta & Jacobus Nel & Sisa Shiba, 2022. "Contagious Diseases and Gold: Over 700 Years of Evidence from Quantile Regressions," Working Papers 202233, University of Pretoria, Department of Economics.
    17. Konstantinos Gkillas & Christoforos Konstantatos & Costas Siriopoulos, 2021. "Uncertainty Due to Infectious Diseases and Stock–Bond Correlation," Econometrics, MDPI, vol. 9(2), pages 1-18, April.

  27. Bonato, Matteo & Çepni, Oğuzhan & Gupta, Rangan & Pierdzioch, Christian, 2021. "Do oil-price shocks predict the realized variance of U.S. REITs?," Energy Economics, Elsevier, vol. 104(C).
    See citations under working paper version above.
  28. Salisu, Afees A. & Pierdzioch, Christian & Gupta, Rangan, 2021. "Geopolitical risk and forecastability of tail risk in the oil market: Evidence from over a century of monthly data," Energy, Elsevier, vol. 235(C).
    See citations under working paper version above.
  29. Elie Bouri & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting Realized Volatility of Bitcoin: The Role of the Trade War," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 29-53, January.
    See citations under working paper version above.
  30. Rangan Gupta & Christian Pierdzioch & Wing-Keung Wong, 2021. "A Note on Forecasting the Historical Realized Variance of Oil-Price Movements: The Role of Gold-to-Silver and Gold-to-Platinum Price Ratios," Energies, MDPI, vol. 14(20), pages 1-12, October.
    See citations under working paper version above.
  31. Gupta, Rangan & Sheng, Xin & Pierdzioch, Christian & Ji, Qiang, 2021. "Disaggregated oil shocks and stock-market tail risks: Evidence from a panel of 48 economics," Research in International Business and Finance, Elsevier, vol. 58(C).

    Cited by:

    1. Maghyereh, Aktham & Abdoh, Hussein, 2022. "Extreme dependence between structural oil shocks and stock markets in GCC countries," Resources Policy, Elsevier, vol. 76(C).
    2. Xin Sheng & Rangan Gupta & Qiang Ji, 2023. "The Effects of Disaggregate Oil Shocks on the Aggregate Expected Skewness of the United States," Risks, MDPI, vol. 11(11), pages 1-9, October.
    3. Yang, Yang & Liu, Zhen & Saydaliev, Hayot Berk & Iqbal, Sajid, 2022. "Economic impact of crude oil supply disruption on social welfare losses and strategic petroleum reserves," Resources Policy, Elsevier, vol. 77(C).
    4. Sheng, Xin & Kim, Won Joong & Gupta, Rangan & Ji, Qiang, 2023. "The impacts of oil price volatility on financial stress: Is the COVID-19 period different?," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 520-532.
    5. 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).
    6. Salisu, Afees A. & Olaniran, Abeeb & Tchankam, Jean Paul, 2022. "Oil tail risk and the tail risk of the US Dollar exchange rates," Energy Economics, Elsevier, vol. 109(C).
    7. Zhang, Lixia & Bai, Jiancheng & Zhang, Yueyan & Cui, Can, 2023. "Global economic uncertainty and the Chinese stock market: Assessing the impacts of global indicators," Research in International Business and Finance, Elsevier, vol. 65(C).
    8. Salisu, Afees A. & Gupta, Rangan & Pierdzioch, Christian, 2022. "Predictability of tail risks of Canada and the U.S. Over a Century: The role of spillovers and oil tail Risks☆," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    9. Elsayed, Ahmed H. & Naifar, Nader & Uddin, Gazi Salah & Wang, Gang-Jin, 2023. "Multilayer information spillover networks between oil shocks and banking sectors: Evidence from oil-rich countries," International Review of Financial Analysis, Elsevier, vol. 87(C).
    10. Afees A. Salisu & Rangan Gupta & Christian Pierdzioch, 2021. "Predictability of Tail Risks of Canada and the U.S. Over a Century: The Role of Spillovers and Oil Tail Risks," Working Papers 202127, University of Pretoria, Department of Economics.

  32. Bonato, Matteo & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2021. "A note on investor happiness and the predictability of realized volatility of gold," Finance Research Letters, Elsevier, vol. 39(C).
    See citations under working paper version above.
  33. Balcilar, Mehmet & Berisha, Edmond & Gupta, Rangan & Pierdzioch, Christian, 2021. "Time-varying evidence of predictability of financial stress in the United States over a century: The role of inequality," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 87-92.
    See citations under working paper version above.
  34. Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting the Volatility of Crude Oil: The Role of Uncertainty and Spillovers," Energies, MDPI, vol. 14(14), pages 1-15, July.
    See citations under working paper version above.
  35. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting realized volatility of bitcoin returns: tail events and asymmetric loss," The European Journal of Finance, Taylor & Francis Journals, vol. 27(16), pages 1626-1644, November.
    See citations under working paper version above.
  36. Rangan Gupta & Christian Pierdzioch, 2021. "Climate Risks and the Realized Volatility Oil and Gas Prices: Results of an Out-of-Sample Forecasting Experiment," Energies, MDPI, vol. 14(23), pages 1-18, December.
    See citations under working paper version above.
  37. 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).
    See citations under working paper version above.
  38. Pierdzioch Christian & Gupta Rangan, 2020. "Uncertainty and Forecasts of U.S. Recessions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-20, September.
    See citations under working paper version above.
  39. Demirer, Riza & Gupta, Rangan & Pierdzioch, Christian & Shahzad, Syed Jawad Hussain, 2020. "The predictive power of oil price shocks on realized volatility of oil: A note," Resources Policy, Elsevier, vol. 69(C).
    See citations under working paper version above.
  40. Elie Bouri & Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2020. "Infectious Diseases, Market Uncertainty and Oil Market Volatility," Energies, MDPI, vol. 13(16), pages 1-8, August.

    Cited by:

    1. Riccardo De Blasis & Filippo Petroni, 2021. "Price Leadership and Volatility Linkages between Oil and Renewable Energy Firms during the COVID-19 Pandemic," Energies, MDPI, vol. 14(9), pages 1-16, May.
    2. Syed Jawad Hussain Shahzad & Elie Bouri & Sang Hoon Kang & Tareq Saeed, 2021. "Regime specific spillover across cryptocurrencies and the role of COVID-19," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-24, December.
    3. Xin Sheng & Rangan Gupta & Afees A. Salisu & Elie Bouri, 2021. "OPEC News and Exchange Rate Forecasting Using Dynamic Bayesian Learning," Working Papers 202101, University of Pretoria, Department of Economics.
    4. Salisu, Afees A. & Pierdzioch, Christian & Gupta, Rangan, 2022. "Oil tail risks and the forecastability of the realized variance of oil-price: Evidence from over 150 years of data," Finance Research Letters, Elsevier, vol. 46(PB).
    5. Scarcioffolo, Alexandre R. & Etienne, Xiaoli L., 2021. "Regime-switching energy price volatility: The role of economic policy uncertainty," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 336-356.
    6. Fateh Belaid & Amine Ben Amar & Stéphane Goutte & Khaled Guesmi, 2023. "Emerging and advanced economies markets behaviour during the COVID‐19 crisis era," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1563-1581, April.
    7. Rangan Gupta & Christian Pierdzioch, 2021. "Climate Risks and the Realized Volatility Oil and Gas Prices: Results of an Out-of-Sample Forecasting Experiment," Working Papers 202175, University of Pretoria, Department of Economics.
    8. Castillo, Brenda & León, Ángel & Ñíguez, Trino-Manuel, 2021. "Backtesting VaR under the COVID-19 sudden changes in volatility," Finance Research Letters, Elsevier, vol. 43(C).
    9. Tong, Yuan & Wan, Ning & Dai, Xingyu & Bi, Xiaoyi & Wang, Qunwei, 2022. "China's energy stock market jumps: To what extent does the COVID-19 pandemic play a part?," Energy Economics, Elsevier, vol. 109(C).
    10. Bonato, Matteo & Çepni, Oğuzhan & Gupta, Rangan & Pierdzioch, Christian, 2021. "Do oil-price shocks predict the realized variance of U.S. REITs?," Energy Economics, Elsevier, vol. 104(C).
    11. Fox, Sarah Jane, 2021. "The nexus between resources and criminal activities: ‘Recycling crimes’ (Metals)," Resources Policy, Elsevier, vol. 74(C).
    12. Mohd Ziaur Rehman & Shabeer Khan & Ghulam Abbas & Mohammed Alhashim, 2023. "Novel COVID-19 Outbreak and Global Uncertainty in the Top-10 Affected Countries: Evidence from Wavelet Coherence Approach," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    13. Vincenzo Candila & Denis Maximov & Alexey Mikhaylov & Nikita Moiseev & Tomonobu Senjyu & Nicole Tryndina, 2021. "On the Relationship between Oil and Exchange Rates of Oil-Exporting and Oil-Importing Countries: From the Great Recession Period to the COVID-19 Era," Energies, MDPI, vol. 14(23), pages 1-18, December.
    14. Afees A. Salisu & Rangan Gupta & Riza Demirer, 2021. "Global Financial Cycle and the Predictability of Oil Market Volatility: Evidence from a GARCH-MIDAS Model," Working Papers 202121, University of Pretoria, Department of Economics.
    15. Gupta, Rangan & Sheng, Xin & Balcilar, Mehmet & Ji, Qiang, 2021. "Time-varying impact of pandemics on global output growth," Finance Research Letters, Elsevier, vol. 41(C).
    16. Zaghum Umar & Mariya Gubareva & Tatiana Sokolova, 2021. "The impact of the Covid-19 related media coverage upon the five major developing markets," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-28, July.
    17. Bechir Raggad & Elie Bouri, 2023. "Quantile Dependence between Crude Oil Returns and Implied Volatility: Evidence from Parametric and Nonparametric Tests," Mathematics, MDPI, vol. 11(3), pages 1-23, January.
    18. Yu, Yang & Guo, SongLin & Chang, XiaoChen, 2022. "Oil prices volatility and economic performance during COVID-19 and financial crises of 2007–2008," Resources Policy, Elsevier, vol. 75(C).
    19. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    20. Raheem, Ibrahim D., 2021. "COVID-19 pandemic and the safe haven property of Bitcoin," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 370-375.
    21. Tihana Škrinjarić, 2021. "Profiting on the Stock Market in Pandemic Times: Study of COVID-19 Effects on CESEE Stock Markets," Mathematics, MDPI, vol. 9(17), pages 1-20, August.
    22. Celso-Arellano, Pedro & Gualajara, Victor & Coronado, Semei & Martinez, Jose N. & Venegas-Martínez, Francisco, 2023. "Impact of the global fear index (covid-19 panic) on the S&P global indices associated with natural resources, agribusiness, energy, metals and mining: Granger Causality and Shannon and Rényi Transfer ," MPRA Paper 117138, University Library of Munich, Germany, revised 06 Feb 2023.
    23. Krzysztof Echaust & Małgorzata Just, 2021. "Tail Dependence between Crude Oil Volatility Index and WTI Oil Price Movements during the COVID-19 Pandemic," Energies, MDPI, vol. 14(14), pages 1-21, July.
    24. Hong, Yanran & Wang, Lu & Ye, Xiaoqing & Zhang, Yaojie, 2022. "Dynamic asymmetric impact of equity market uncertainty on energy markets: A time-varying causality analysis," Renewable Energy, Elsevier, vol. 196(C), pages 535-546.
    25. Będowska-Sójka, Barbara & Kliber, Agata, 2022. "Can cryptocurrencies hedge oil price fluctuations? A pandemic perspective," Energy Economics, Elsevier, vol. 115(C).
    26. Yousaf, Imran, 2021. "Risk transmission from the COVID-19 to metals and energy markets," Resources Policy, Elsevier, vol. 73(C).
    27. Peng-Fei Dai & Xiong Xiong & Zhifeng Liu & Toan Luu Duc Huynh & Jianjun Sun, 2021. "Preventing crash in stock market: The role of economic policy uncertainty during COVID-19," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-15, December.
    28. Ioannis Dokas & Georgios Oikonomou & Minas Panagiotidis & Eleftherios Spyromitros, 2023. "Macroeconomic and Uncertainty Shocks’ Effects on Energy Prices: A Comprehensive Literature Review," Energies, MDPI, vol. 16(3), pages 1-35, February.
    29. Rangan Gupta & Sowmya Subramaniam & Elie Bouri & Qiang Ji, 2020. "Infectious Disease-Related Uncertainty and the Safe-Haven Characteristic of US Treasury Securities," Working Papers 202078, University of Pretoria, Department of Economics.
    30. Salem, Leila Ben & Zayati, Montassar & Nouira, Ridha & Rault, Christophe, 2024. "Volatility Spillover between Oil Prices and Main Exchange Rates: Evidence from a DCC-GARCH-Connectedness Approach," IZA Discussion Papers 16832, Institute of Labor Economics (IZA).
    31. Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting the Volatility of Crude Oil: The Role of Uncertainty and Spillovers," Energies, MDPI, vol. 14(14), pages 1-15, July.
    32. Huang, Yisu & Xu, Weiju & Huang, Dengshi & Zhao, Chenchen, 2023. "Chinese crude oil futures volatility and sustainability: An uncertainty indices perspective," Resources Policy, Elsevier, vol. 80(C).
    33. Apostolos G. Christopoulos & Petros Kalantonis & Ioannis Katsampoxakis & Konstantinos Vergos, 2021. "COVID-19 and the Energy Price Volatility," Energies, MDPI, vol. 14(20), pages 1-15, October.
    34. Lan, Jing & Wei, Yiming & Guo, Jie & Li, Qiuming & Liu, Zhen, 2023. "The effect of green finance on industrial pollution emissions: Evidence from China," Resources Policy, Elsevier, vol. 80(C).
    35. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting Realized Volatility of International REITs: The Role of Realized Skewness and Realized Kurtosis," Working Papers 202114, University of Pretoria, Department of Economics.
    36. Song, Yixuan & He, Mengxi & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market volatility: A newspaper-based predictor regarding petroleum market volatility," Resources Policy, Elsevier, vol. 79(C).
    37. Karol Szafranek & Marek Kwas & Grzegorz Szafrański & Zuzanna Wośko, 2020. "Common Determinants of Credit Default Swap Premia in the North American Oil and Gas Industry. A Panel BMA Approach," Energies, MDPI, vol. 13(23), pages 1-23, November.
    38. Luis M. Abadie, 2021. "Energy Market Prices in Times of COVID-19: The Case of Electricity and Natural Gas in Spain," Energies, MDPI, vol. 14(6), pages 1-17, March.
    39. Umar, Zaghum & Gubareva, Mariya & Teplova, Tamara, 2021. "The impact of Covid-19 on commodity markets volatility: Analyzing time-frequency relations between commodity prices and coronavirus panic levels," Resources Policy, Elsevier, vol. 73(C).
    40. Gupta, Rangan & Ji, Qiang & Pierdzioch, Christian & Plakandaras, Vasilios, 2023. "Forecasting the conditional distribution of realized volatility of oil price returns: The role of skewness over 1859 to 2023," Finance Research Letters, Elsevier, vol. 58(PC).
    41. Zhang, Yulian & Hamori, Shigeyuki, 2021. "Do news sentiment and the economic uncertainty caused by public health events impact macroeconomic indicators? Evidence from a TVP-VAR decomposition approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 145-162.
    42. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2020. "Uncertainty due to Infectious Diseases and Forecastability of the Realized Variance of US REITs: A Note," Working Papers 202099, University of Pretoria, Department of Economics.
    43. Nasir, Muhammad Ali & Le, Thi Ngoc Lan & Ghabri, Yosra & Huynh, Luu Duc Toan, 2023. "Sovereign bonds and flight to safety: Implications of the COVID-19 crisis for sovereign debt markets in the G-7 and E-7 economies," International Review of Financial Analysis, Elsevier, vol. 86(C).
    44. Kais Tissaoui & Taha Zaghdoudi & Abdelaziz Hakimi & Ousama Ben-Salha & Lamia Ben Amor, 2022. "Does Uncertainty Forecast Crude Oil Volatility before and during the COVID-19 Outbreak? Fresh Evidence Using Machine Learning Models," Energies, MDPI, vol. 15(15), pages 1-20, August.
    45. Chen, Lin & Min, Feng & Liu, Wenhua & Wen, Fenghua, 2022. "The Impact of the Infectious diseases and Commodity on Stock Markets," Finance Research Letters, Elsevier, vol. 47(PB).
    46. Xiaodong Huang & Chang Lei, 2023. "Covid-19 impact on financial growth and guidelines for green recovery in BRICS: fresh insights from econometric analysis," Economic Change and Restructuring, Springer, vol. 56(2), pages 1243-1261, April.
    47. Hung, Ngo Thai & Vo, Xuan Vinh, 2021. "Directional spillover effects and time-frequency nexus between oil, gold and stock markets: Evidence from pre and during COVID-19 outbreak," International Review of Financial Analysis, Elsevier, vol. 76(C).
    48. Kateryna Yakovenko & Matúš Mišík, 2020. "Cooperation and Security: Examining the Political Discourse on Natural Gas Transit in Ukraine and Slovakia," Energies, MDPI, vol. 13(22), pages 1-14, November.

  41. Çepni, Oğguzhan & Demirer, Riza & Gupta, Rangan & Pierdzioch, Christian, 2020. "Time-varying risk aversion and the predictability of bond premia," Finance Research Letters, Elsevier, vol. 34(C).
    See citations under working paper version above.
  42. Georg Stadtmann & Christian Pierdzioch & Timo Schöber, 2020. "Law of one price: BigMac versus Fortnite - A Note," Economics Bulletin, AccessEcon, vol. 40(4), pages 3338-3348.
    See citations under working paper version above.
  43. Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2020. "Forecasting realized gold volatility: Is there a role of geopolitical risks?," Finance Research Letters, Elsevier, vol. 35(C).
    See citations under working paper version above.
  44. Christian Pierdzioch & Marian Risse, 2020. "Forecasting precious metal returns with multivariate random forests," Empirical Economics, Springer, vol. 58(3), pages 1167-1184, March.

    Cited by:

    1. 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.
    2. David Gabauer & Rangan Gupta & Sayar Karmakar & Joshua Nielsen, 2022. "Stock Market Bubbles and the Forecastability of Gold Returns (and Volatility)," Working Papers 202228, University of Pretoria, Department of Economics.
    3. Du, Pei & Guo, Ju’e & Sun, Shaolong & Wang, Shouyang & Wu, Jing, 2021. "Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm," Resources Policy, Elsevier, vol. 74(C).
    4. Syed Abul, Basher & Perry, Sadorsky, 2022. "Forecasting Bitcoin price direction with random forests: How important are interest rates, inflation, and market volatility?," MPRA Paper 113293, University Library of Munich, Germany.
    5. 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).
    6. Dylan Norbert Gono & Herlina Napitupulu & Firdaniza, 2023. "Silver Price Forecasting Using Extreme Gradient Boosting (XGBoost) Method," Mathematics, MDPI, vol. 11(18), pages 1-15, September.
    7. Perry Sadorsky, 2021. "Predicting Gold and Silver Price Direction Using Tree-Based Classifiers," JRFM, MDPI, vol. 14(5), pages 1-21, April.
    8. Díaz, Juan D. & Hansen, Erwin & Cabrera, Gabriel, 2023. "Gold risk premium estimation with machine learning methods," Journal of Commodity Markets, Elsevier, vol. 31(C).
    9. Martha Carpinteyro & Francisco Venegas-Martínez & Alí Aali-Bujari, 2021. "Modeling Precious Metal Returns through Fractional Jump-Diffusion Processes Combined with Markov Regime-Switching Stochastic Volatility," Mathematics, MDPI, vol. 9(4), pages 1-17, February.

  45. Matteo Bonato & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020. "Investor Happiness and Predictability of the Realized Volatility of Oil Price," Sustainability, MDPI, vol. 12(10), pages 1-11, May.
    See citations under working paper version above.
  46. Follert Florian & Richau Lukas & Emrich Eike & Pierdzioch Christian, 2020. "Collective Decision-making: FIFA from the Perspective of Public Choice," The Economists' Voice, De Gruyter, vol. 17(1), pages 1-15, December.

    Cited by:

    1. Markus Widmann & Florian Follert & Matthias Wolz, 2021. "On the Political Decision of Audit Market Regulation: Empirical Evidence of Audit Firm Tenure and Maximum Durations within the European Union," Economies, MDPI, vol. 9(2), pages 1-24, May.
    2. Richau, Lukas & Follert, Florian & Frenger, Monika & Emrich, Eike, 2021. "The Rainmaker?! The impact of investors on transfer fees in the English Premier League," Working Paper 187/2021, Helmut Schmidt University, Hamburg.

  47. Christoph Behrens & Christian Pierdzioch & Marian Risse, 2020. "Do German economic research institutes publish efficient growth and inflation forecasts? A Bayesian analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 47(4), pages 698-723, March.

    Cited by:

    1. Heinisch, Katja & Behrens, Christoph & Döpke, Jörg & Foltas, Alexander & Fritsche, Ulrich & Köhler, Tim & Müller, Karsten & Puckelwald, Johannes & Reichmayr, Hannes, 2023. "The IWH Forecasting Dashboard: From forecasts to evaluation and comparison," IWH Technical Reports 1/2023, Halle Institute for Economic Research (IWH).

  48. Chang, Tsangyao & Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian, 2019. "Predicting stock market movements with a time-varying consumption-aggregate wealth ratio," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 458-467.
    See citations under working paper version above.
  49. Gupta, Rangan & Pierdzioch, Christian & Vivian, Andrew J. & Wohar, Mark E., 2019. "The predictive value of inequality measures for stock returns: An analysis of long-span UK data using quantile random forests," Finance Research Letters, Elsevier, vol. 29(C), pages 315-322.
    See citations under working paper version above.
  50. Pierdzioch, Christian & Risse, Marian & Gupta, Rangan & Nyakabawo, Wendy, 2019. "On REIT returns and (un-)expected inflation: Empirical evidence based on Bayesian additive regression trees," Finance Research Letters, Elsevier, vol. 30(C), pages 160-169.
    See citations under working paper version above.
  51. Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2019. "Forecasting (downside and upside) realized exchange-rate volatility: Is there a role for realized skewness and kurtosis?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 532(C).

    Cited by:

    1. Cui, Jinxin & Maghyereh, Aktham, 2023. "Time-frequency dependence and connectedness among global oil markets: Fresh evidence from higher-order moment perspective," Journal of Commodity Markets, Elsevier, vol. 30(C).
    2. Bonato, Matteo & Cepni, Oguzhan & Gupta, Rangan & Pierdzioch, Christian, 2023. "Climate risks and realized volatility of major commodity currency exchange rates," Journal of Financial Markets, Elsevier, vol. 62(C).
    3. Chen, Yan & Qiao, Gaoxiu & Zhang, Feipeng, 2022. "Oil price volatility forecasting: Threshold effect from stock market volatility," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    4. Shahzad, Syed Jawad Hussain & Naeem, Muhammad Abubakr & Peng, Zhe & Bouri, Elie, 2021. "Asymmetric volatility spillover among Chinese sectors during COVID-19," International Review of Financial Analysis, Elsevier, vol. 75(C).
    5. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    6. Konstantinos Gkillas & Elie Bouri & Rangan Gupta & David Roubaud, 2020. "Spillovers in Higher-Order Moments of Crude Oil, Gold, and Bitcoin," Working Papers 202068, University of Pretoria, Department of Economics.
    7. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting Realized Volatility of International REITs: The Role of Realized Skewness and Realized Kurtosis," Working Papers 202114, University of Pretoria, Department of Economics.
    8. Waqas Hanif & Hee-Un Ko & Linh Pham & Sang Hoon Kang, 2023. "Dynamic connectedness and network in the high moments of cryptocurrency, stock, and commodity markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-40, December.
    9. Cui, Jinxin & Maghyereh, Aktham, 2023. "Higher-order moment risk connectedness and optimal investment strategies between international oil and commodity futures markets: Insights from the COVID-19 pandemic and Russia-Ukraine conflict," International Review of Financial Analysis, Elsevier, vol. 86(C).
    10. Gao, Shang & Zhang, Zhikai & Wang, Yudong & Zhang, Yaojie, 2023. "Forecasting stock market volatility: The sum of the parts is more than the whole," Finance Research Letters, Elsevier, vol. 55(PA).
    11. Liu, Yiye & Han, Liyan & Wu, You, 2022. "Can skewness predict CNY-CNH spread?," Finance Research Letters, Elsevier, vol. 46(PB).

  52. Demirer, Riza & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2019. "Time-varying risk aversion and realized gold volatility," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    See citations under working paper version above.
  53. Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch & Mark E. Wohar, 2018. "Terror attacks and stock-market fluctuations: evidence based on a nonparametric causality-in-quantiles test for the G7 countries," The European Journal of Finance, Taylor & Francis Journals, vol. 24(4), pages 333-346, March.
    See citations under working paper version above.
  54. Christian Pierdzioch & Monique B. Reid & Rangan Gupta, 2018. "On the directional accuracy of inflation forecasts: evidence from South African survey data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(5), pages 884-900, April.
    See citations under working paper version above.
  55. Behrens, Christoph & Pierdzioch, Christian & Risse, Marian, 2018. "Testing the optimality of inflation forecasts under flexible loss with random forests," Economic Modelling, Elsevier, vol. 72(C), pages 270-277.

    Cited by:

    1. Giovannelli, Alessandro & Pericoli, Filippo Maria, 2020. "Are GDP forecasts optimal? Evidence on European countries," International Journal of Forecasting, Elsevier, vol. 36(3), pages 963-973.
    2. Ming Meng & Chenge Song, 2020. "Daily Photovoltaic Power Generation Forecasting Model Based on Random Forest Algorithm for North China in Winter," Sustainability, MDPI, vol. 12(6), pages 1-17, March.

  56. Gupta, Rangan & Pierdzioch, Christian & Selmi, Refk & Wohar, Mark E., 2018. "Does partisan conflict predict a reduction in US stock market (realized) volatility? Evidence from a quantile-on-quantile regression model☆," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 87-96.

    Cited by:

    1. Beyer, Deborah B. & Fan, Zaifeng S., 2023. "The calming effects of conflict: The impact of partisan conflict on market volatility," International Review of Financial Analysis, Elsevier, vol. 85(C).
    2. Yonghong Jiang & Gengyu Tian & Yiqi Wu & Bin Mo, 2022. "Impacts of geopolitical risks and economic policy uncertainty on Chinese tourism‐listed company stock," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 320-333, January.
    3. Cheng, Chak Hung Jack & Chiu, Ching-Wai (Jeremy) & Hankins, William B. & Stone, Anna-Leigh, 2018. "Partisan conflict, policy uncertainty and aggregate corporate cash holdings," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 78-90.
    4. William B. Hankins & Anna‐Leigh Stone & Chak Hung Jack Cheng & Ching‐Wai (Jeremy) Chiu, 2020. "Corporate decision making in the presence of political uncertainty: The case of corporate cash holdings," The Financial Review, Eastern Finance Association, vol. 55(2), pages 307-337, May.
    5. Khan, Khalid & Su, Chi-Wei & Zhu, Meng Nan, 2022. "Examining the behaviour of energy prices to COVID-19 uncertainty: A quantile on quantile approach," Energy, Elsevier, vol. 239(PE).
    6. George S. Atsalakis & Elie Bouri & Fotios Pasiouras, 2021. "Natural disasters and economic growth: a quantile on quantile approach," Annals of Operations Research, Springer, vol. 306(1), pages 83-109, November.
    7. Dong, Zibing & Li, Yanshuang & Zhuang, Xintian & Wang, Jian, 2022. "Impacts of COVID-19 on global stock sectors: Evidence from time-varying connectedness and asymmetric nexus analysis," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    8. Afees A. Salisu & Rangan Gupta & Ahamuefula E. Ogbonna, 2022. "A moving average heterogeneous autoregressive model for forecasting the realized volatility of the US stock market: Evidence from over a century of data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 384-400, January.
    9. Hossein Hassani & Mohammad Reza Yeganegi & Rangan Gupta & Riza Demirer, 2018. "Forecasting Stock Market (Realized) Volatility in the United Kingdom: Is There a Role for Economic Inequality?," Working Papers 201880, University of Pretoria, Department of Economics.
    10. Su, Chi-Wei & Khan, Khalid & Umar, Muhammad & Chang, Tsangyao, 2022. "Renewable energy in prism of technological innovation and economic uncertainty," Renewable Energy, Elsevier, vol. 189(C), pages 467-478.
    11. Yang, Dong-Xiao & Wu, Bi-Bo & Tong, Jing-Yang, 2021. "Dynamics and causality of oil price shocks on commodities: Quantile-on-quantile and causality-in-quantiles methods," Resources Policy, Elsevier, vol. 74(C).
    12. Dong, Xiyong & Li, Changhong & Yoon, Seong-Min, 2020. "Asymmetric dependence structures for regional stock markets: An unconditional quantile regression approach," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    13. Rufei Zhang & Haizhen Zhang & Qingzhu Fan & Wang Gao & Xue Luo & Shixiong Yang, 2022. "Partisan Conflict, National Security Policy Uncertainty and Tourism," Sustainability, MDPI, vol. 14(17), pages 1-22, August.
    14. Xolani Sibande & Rangan Gupta & Riza Demirer & Elie Bouri, 2023. "Investor Sentiment and (Anti) Herding in the Currency Market: Evidence from Twitter Feed Data," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 24(1), pages 56-72, January.
    15. Pattanaporn Chatjuthamard & Sirimon Treepongkaruna & Pornsit Jiraporn & Napatsorn Jiraporn, 2021. "Does firm‐level political risk influence corporate social responsibility (CSR)? Evidence from earnings conference calls," The Financial Review, Eastern Finance Association, vol. 56(4), pages 721-741, November.
    16. Khuntia, Sashikanta & Pattanayak, J.K., 2020. "Adaptive long memory in volatility of intra-day bitcoin returns and the impact of trading volume," Finance Research Letters, Elsevier, vol. 32(C).
    17. Iqbal, Najaf & Fareed, Zeeshan & Wan, Guangcai & Shahzad, Farrukh, 2021. "Asymmetric nexus between COVID-19 outbreak in the world and cryptocurrency market," International Review of Financial Analysis, Elsevier, vol. 73(C).
    18. Oktay Ozkan, 2020. "Time-varying return predictability and adaptive markets hypothesis: Evidence on MIST countries from a novel wild bootstrap likelihood ratio approach," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 34(2), pages 101-113.
    19. Yong Jiang & Yi-Shuai Ren & Chao-Qun Ma & Jiang-Long Liu & Basil Sharp, 2018. "Does the price of strategic commodities respond to U.S. Partisan Conflict?," Papers 1810.08396, arXiv.org, revised Feb 2020.
    20. Han, Liyan & Liu, Yang & Yin, Libo, 2019. "Uncertainty and currency performance: A quantile-on-quantile approach," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 702-729.
    21. Hossein Hassani & Mohammad Reza Yeganegi & Rangan Gupta & Riza Demirer, 2022. "Forecasting stock market (realized) volatility in the United Kingdom: Is there a role of inequality?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2146-2152, April.
    22. Jia, Boxiang & Goodell, John W. & Shen, Dehua, 2021. "US partisan conflict and high-yield exchange rates," Finance Research Letters, Elsevier, vol. 40(C).
    23. Jiang, Yong & Ren, Yi-Shuai & Ma, Chao-Qun & Liu, Jiang-Long & Sharp, Basil, 2020. "Does the price of strategic commodities respond to U.S. partisan conflict?," Resources Policy, Elsevier, vol. 66(C).
    24. Yifei Cai & Angeliki Menegaki, 2021. "FDI, growth and trade partisan conflict in the US: TVP-BVAR approach," Empirical Economics, Springer, vol. 60(3), pages 1335-1362, March.
    25. Umar, Zaghum & Bossman, Ahmed & Choi, Sun-Yong & Teplova, Tamara, 2023. "The relationship between global risk aversion and returns from safe-haven assets," Finance Research Letters, Elsevier, vol. 51(C).
    26. Umar, Muhammad & Su, Chi-Wei & Rizvi, Syed Kumail Abbas & Shao, Xue-Feng, 2021. "Bitcoin: A safe haven asset and a winner amid political and economic uncertainties in the US?," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    27. Hau, Liya & Zhu, Huiming & Huang, Rui & Ma, Xiang, 2020. "Heterogeneous dependence between crude oil price volatility and China’s agriculture commodity futures: Evidence from quantile-on-quantile regression," Energy, Elsevier, vol. 213(C).

  57. Christian Pierdzioch & Marian Risse, 2018. "A machine‐learning analysis of the rationality of aggregate stock market forecasts," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 23(4), pages 642-654, October.

    Cited by:

    1. Joao Vitor Matos Goncalves & Michel Alexandre & Gilberto Tadeu Lima, 2023. "ARIMA and LSTM: A Comparative Analysis of Financial Time Series Forecasting," Working Papers, Department of Economics 2023_13, University of São Paulo (FEA-USP).
    2. Christian Pierdzioch & Rangan Gupta & Hossein Hassani & Emmanuel Silva, 2018. "Forecasting Changes of Economic Inequality: A Boosting Approach," Working Papers 201868, University of Pretoria, Department of Economics.

  58. 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.
    See citations under working paper version above.
  59. Christoph Behrens & Christian Pierdzioch & Marian Risse, 2018. "A test of the joint efficiency of macroeconomic forecasts using multivariate random forests," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(5), pages 560-572, August.

    Cited by:

    1. Rangan Gupta & Hardik A. Marfatia & Christian Pierdzioch & Afees A. Salisu, 2020. "Machine Learning Predictions of Housing Market Synchronization across US States: The Role of Uncertainty," Working Papers 202077, University of Pretoria, Department of Economics.
    2. Gupta, Rangan & Pierdzioch, Christian & Vivian, Andrew J. & Wohar, Mark E., 2019. "The predictive value of inequality measures for stock returns: An analysis of long-span UK data using quantile random forests," Finance Research Letters, Elsevier, vol. 29(C), pages 315-322.
    3. Alexander Foltas & Christian Pierdzioch, 2022. "Business-cycle reports and the efficiency of macroeconomic forecasts for Germany," Applied Economics Letters, Taylor & Francis Journals, vol. 29(10), pages 867-872, June.
    4. Mengxi He & Xianfeng Hao & Yaojie Zhang & Fanyi Meng, 2021. "Forecasting stock return volatility using a robust regression model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1463-1478, December.
    5. Pierdzioch, Christian, 2023. "A bootstrap-based efficiency test of growth and inflation forecasts for Germany," Economics Letters, Elsevier, vol. 224(C).
    6. Behrens, Christoph, 2020. "German trade forecasts since 1970: An evaluation using the panel dimension," Working Papers 26, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    7. Christian Pierdzioch & Marian Risse, 2020. "Forecasting precious metal returns with multivariate random forests," Empirical Economics, Springer, vol. 58(3), pages 1167-1184, March.

  60. Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch, 2017. "On exchange-rate movements and gold-price fluctuations: evidence for gold-producing countries from a nonparametric causality-in-quantiles test," International Economics and Economic Policy, Springer, vol. 14(4), pages 691-700, October.
    See citations under working paper version above.
  61. Demirer, Riza & Pierdzioch, Christian & Zhang, Huacheng, 2017. "On the short-term predictability of stock returns: A quantile boosting approach," Finance Research Letters, Elsevier, vol. 22(C), pages 35-41.

    Cited by:

    1. 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.
    2. Riza Demirer & Asli Yuksel & Aydin Yuksel, 2020. "The U.S. term structure and return volatility in emerging stock markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(4), pages 687-707, October.
    3. Chen, Chun-Da & Cheng, Chiao-Ming & Demirer, Rıza, 2017. "Oil and stock market momentum," Energy Economics, Elsevier, vol. 68(C), pages 151-159.
    4. Gu, Wentao & Peng, Yiqing, 2019. "Forecasting the market return direction based on a time-varying probability density model," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    5. Naeem, Muhammad Abubakr & Mbarki, Imen & Shahzad, Syed Jawad Hussain, 2021. "Predictive role of online investor sentiment for cryptocurrency market: Evidence from happiness and fears," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 496-514.

  62. Ulrich Fritsche & Christian Pierdzioch, 2017. "Animal spirits, the stock market, and the unemployment rate: Some evidence for German data," Economics Bulletin, AccessEcon, vol. 37(1), pages 204-213.
    See citations under working paper version above.
  63. Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian & Wohar, Mark E., 2017. "Do terror attacks predict gold returns? Evidence from a quantile-predictive-regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 276-284.
    See citations under working paper version above.
  64. Döpke, Jörg & Fritsche, Ulrich & Pierdzioch, Christian, 2017. "Predicting recessions with boosted regression trees," International Journal of Forecasting, Elsevier, vol. 33(4), pages 745-759.
    See citations under working paper version above.
  65. 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.

    Cited by:

    1. 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.
    2. Asai, Manabu & Gupta, Rangan & McAleer, Michael, 2020. "Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks," International Journal of Forecasting, Elsevier, vol. 36(3), pages 933-948.
    3. Demirer, Riza & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2019. "Time-varying risk aversion and realized gold volatility," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    4. Bouri, Elie & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2021. "Forecasting power of infectious diseases-related uncertainty for gold realized variance," Finance Research Letters, Elsevier, vol. 42(C).
    5. Guo, Hongquan & Nguyen, Hoang & Vu, Diep-Anh & Bui, Xuan-Nam, 2021. "Forecasting mining capital cost for open-pit mining projects based on artificial neural network approach," Resources Policy, Elsevier, vol. 74(C).
    6. 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.
    7. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2019. "Forecasting Realized Gold Volatility: Is there a Role of Geopolitical Risks?," Working Papers 201943, University of Pretoria, Department of Economics.
    8. Troster, Victor & Bouri, Elie & Roubaud, David, 2019. "A quantile regression analysis of flights-to-safety with implied volatilities," Resources Policy, Elsevier, vol. 62(C), pages 482-495.
    9. Bonato, Matteo & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2021. "A note on investor happiness and the predictability of realized volatility of gold," Finance Research Letters, Elsevier, vol. 39(C).
    10. Hollstein, Fabian & Prokopczuk, Marcel & Tharann, Björn & Wese Simen, Chardin, 2021. "Predictability in commodity markets: Evidence from more than a century," Journal of Commodity Markets, Elsevier, vol. 24(C).
    11. Syed Abul, Basher & Perry, Sadorsky, 2022. "Forecasting Bitcoin price direction with random forests: How important are interest rates, inflation, and market volatility?," MPRA Paper 113293, University Library of Munich, Germany.
    12. Văn, Lê & Bảo, Nguyễn Khắc Quốc, 2022. "The relationship between global stock and precious metals under Covid-19 and happiness perspectives," Resources Policy, Elsevier, vol. 77(C).
    13. Riza Demirer & Rangan Gupta & Christian Pierdzioch & Syed Jawad Hussain Shahzad, 2021. "A note on oil price shocks and the forecastability of gold realized volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 28(21), pages 1889-1897, December.
    14. Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2020. "The Role of Global Economic Conditions in Forecasting Gold Market Volatility: Evidence from a GARCH-MIDAS Approach," Working Papers 202043, University of Pretoria, Department of Economics.

  66. Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016. "Forecasting the South African inflation rate: On asymmetric loss and forecast rationality," Economic Systems, Elsevier, vol. 40(1), pages 82-92.
    See citations under working paper version above.
  67. Gupta, Rangan & Pierdzioch, Christian & Risse, Marian, 2016. "On international uncertainty links: BART-based empirical evidence for Canada," Economics Letters, Elsevier, vol. 143(C), pages 24-27.
    See citations under working paper version above.
  68. Eike Emrich & Christian Pierdzioch, 2016. "A quantile-regression test of economic models of volunteer labor supply," Economics Bulletin, AccessEcon, vol. 36(1), pages 198-204.

    Cited by:

    1. Emrich, Eike & Frenger, Monika & Gassmann, Freya & Hämmerle, Martin & Pierdzioch, Christian, 2019. "German sports clubs' recruitment of executive board members," Working Papers of the European Institute for Socioeconomics 31, European Institute for Socioeconomics (EIS), Saarbrücken.

  69. Balcilar, Mehmet & Gupta, Rangan & Pierdzioch, Christian, 2016. "Does uncertainty move the gold price? New evidence from a nonparametric causality-in-quantiles test," Resources Policy, Elsevier, vol. 49(C), pages 74-80.
    See citations under working paper version above.
  70. Pierdzioch, Christian & Rülke, Jan-Christoph & Tillmann, Peter, 2016. "Using Forecasts To Uncover The Loss Function Of Federal Open Market Committee Members," Macroeconomic Dynamics, Cambridge University Press, vol. 20(3), pages 791-818, April.

    Cited by:

    1. Arai, Natsuki, 2023. "The FOMC’s new individual economic projections and macroeconomic theories," Journal of Banking & Finance, Elsevier, vol. 151(C).
    2. Christian Pierdzioch & Monique B. Reid & Rangan Gupta, 2014. "Forecasting the South African Inflation Rate: On Asymmetric Loss and Forecast Rationality," Working Papers 201475, University of Pretoria, Department of Economics.
    3. Behrens, Christoph & Pierdzioch, Christian & Risse, Marian, 2018. "Testing the optimality of inflation forecasts under flexible loss with random forests," Economic Modelling, Elsevier, vol. 72(C), pages 270-277.
    4. Yoichi Tsuchiya, 2022. "Evaluating plant managers’ production plans over business cycles: asymmetric loss and rationality," SN Business & Economics, Springer, vol. 2(8), pages 1-29, August.
    5. Yoichi Tsuchiya, 2021. "The value added of the Bank of Japan's range forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 817-833, August.

  71. Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016. "Inflation forecasts and forecaster herding: Evidence from South African survey data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 62(C), pages 42-50.
    See citations under working paper version above.
  72. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2016. "Are precious metals a hedge against exchange-rate movements? An empirical exploration using bayesian additive regression trees," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 27-38.

    Cited by:

    1. Reboredo, Juan Carlos & Ugolini, Andrea & Hernandez, Jose Arreola, 2021. "Dynamic spillovers and network structure among commodity, currency, and stock markets," Resources Policy, Elsevier, vol. 74(C).
    2. Chi-Wei Su & Kai-Hua Wang & Oana-Ramona Lobonţ & Meng Qin, 2023. "Continuous Wavelet Transform of Time-Frequency Analysis Technique to Capture the Dynamic Hedging Ability of Precious Metals," Mathematics, MDPI, vol. 11(5), pages 1-18, February.
    3. Naeem, Muhammad & Tiwari, Aviral Kumar & Mubashra, Sana & Shahbaz, Muhammad, 2019. "Modeling volatility of precious metals markets by using regime-switching GARCH models," Resources Policy, Elsevier, vol. 64(C).
    4. 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.
    5. Bhatia, Vaneet & Das, Debojyoti & Tiwari, Aviral Kumar & Shahbaz, Muhammad & Hasim, Haslifah M., 2018. "Do precious metal spot prices influence each other? Evidence from a nonparametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 55(C), pages 244-252.
    6. Vigne, Samuel A. & Lucey, Brian M. & O’Connor, Fergal A. & Yarovaya, Larisa, 2017. "The financial economics of white precious metals — A survey," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 292-308.
    7. Joscha Beckmann & Theo Berger & Robert Czudaj, 2017. "Gold Price Dynamics and the Role of Uncertainty," Chemnitz Economic Papers 006, Department of Economics, Chemnitz University of Technology, revised May 2017.
    8. Ioannis E. Tsolas, 2020. "Precious Metal Mutual Fund Performance Evaluation: A Series Two-Stage DEA Modeling Approach," JRFM, MDPI, vol. 13(5), pages 1-13, April.
    9. Tweneboah, George & Alagidede, Paul, 2018. "Interdependence structure of precious metal prices: A multi-scale perspective," Resources Policy, Elsevier, vol. 59(C), pages 427-434.
    10. Salisu, Afees A. & Ndako, Umar B. & Oloko, Tirimisiyu F., 2019. "Assessing the inflation hedging of gold and palladium in OECD countries," Resources Policy, Elsevier, vol. 62(C), pages 357-377.
    11. Hanif, Waqas & Mensi, Walid & Alomari, Mohammad & Andraz, Jorge Miguel, 2023. "Downside and upside risk spillovers between precious metals and currency markets: Evidence from before and during the COVID-19 crisis," Resources Policy, Elsevier, vol. 81(C).
    12. Christian Pierdzioch & Marian Risse & Rangan Gupta & Wendy Nyakabawo, 2016. "On REIT Returns and (Un-) Expected Inflation: Empirical Evidence Based on Bayesian Additive Regression Trees," Working Papers 201677, University of Pretoria, Department of Economics.
    13. Talbi, Marwa & de Peretti, Christian & Belkacem, Lotfi, 2020. "Dynamics and causality in distribution between spot and future precious metals: A copula approach," Resources Policy, Elsevier, vol. 66(C).
    14. Cheng, Sheng & Zhang, Zongyou & Cao, Yan, 2022. "Can precious metals hedge geopolitical risk? Fresh sight using wavelet coherence analysis," Resources Policy, Elsevier, vol. 79(C).
    15. Kunkler, Michael, 2022. "Hedging local currency risk with precious metals," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    16. Kliber, Agata, 2022. "Looking for a safe haven against American stocks during COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    17. Huifu Nong, 2024. "Connectedness and risk transmission of China’s stock and currency markets with global commodities," Economic Change and Restructuring, Springer, vol. 57(1), pages 1-24, February.
    18. Aktham Maghyereh & Hussein Abdoh, 2022. "Can news-based economic sentiment predict bubbles in precious metal markets?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-29, December.
    19. Jianhua Ding & Turen Guo & Bin Guo, 2018. "Fat Tails, Value at Risk, and the Palladium Returns," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 7(2), pages 95-103, May.
    20. Wu, Wei & Tang, Xiaoping & Lv, Jiake & Yang, Chao & Liu, Hongbin, 2021. "Potential of Bayesian additive regression trees for predicting daily global and diffuse solar radiation in arid and humid areas," Renewable Energy, Elsevier, vol. 177(C), pages 148-163.
    21. Mensi, Walid & Hernandez, Jose Arroeola & Yoon, Seong-Min & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Spillovers and connectedness between major precious metals and major currency markets: The role of frequency factor," International Review of Financial Analysis, Elsevier, vol. 74(C).

  73. Christian Pierdzioch, 2016. "Using ROC techniques to measure the effectiveness of foreign exchange market interventions," Applied Economics Letters, Taylor & Francis Journals, vol. 23(6), pages 389-393, April.

    Cited by:

    1. Tim Meyer, 2019. "On the Directional Accuracy of United States Housing Starts Forecasts: Evidence from Survey Data," The Journal of Real Estate Finance and Economics, Springer, vol. 58(3), pages 457-488, April.

  74. Eike Emrich & Christian Pierdzioch, 2016. "Volunteering, Match Quality, and Internet Use," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 136(2), pages 199-226.
    See citations under working paper version above.
  75. 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.

    Cited by:

    1. Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian & Wohar, Mark E., 2017. "Do terror attacks predict gold returns? Evidence from a quantile-predictive-regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 276-284.
    2. 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.
    3. David Gabauer & Rangan Gupta & Sayar Karmakar & Joshua Nielsen, 2022. "Stock Market Bubbles and the Forecastability of Gold Returns (and Volatility)," Working Papers 202228, University of Pretoria, Department of Economics.
    4. Gupta, Rangan & Pierdzioch, Christian & Vivian, Andrew J. & Wohar, Mark E., 2019. "The predictive value of inequality measures for stock returns: An analysis of long-span UK data using quantile random forests," Finance Research Letters, Elsevier, vol. 29(C), pages 315-322.
    5. Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch, 2017. "On exchange-rate movements and gold-price fluctuations: evidence for gold-producing countries from a nonparametric causality-in-quantiles test," International Economics and Economic Policy, Springer, vol. 14(4), pages 691-700, October.
    6. Syed Abul, Basher & Perry, Sadorsky, 2022. "Forecasting Bitcoin price direction with random forests: How important are interest rates, inflation, and market volatility?," MPRA Paper 113293, University Library of Munich, Germany.
    7. 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.
    8. Risse, Marian, 2019. "Combining wavelet decomposition with machine learning to forecast gold returns," International Journal of Forecasting, Elsevier, vol. 35(2), pages 601-615.
    9. 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).
    10. Zhu, Huiming & Peng, Cheng & You, Wanhai, 2016. "Quantile behaviour of cointegration between silver and gold prices," Finance Research Letters, Elsevier, vol. 19(C), pages 119-125.
    11. Demirer, Riza & Pierdzioch, Christian & Zhang, Huacheng, 2017. "On the short-term predictability of stock returns: A quantile boosting approach," Finance Research Letters, Elsevier, vol. 22(C), pages 35-41.
    12. Shahzad, Syed Jawad Hussain & Rahman, Md Lutfur & Lucey, Brian M. & Uddin, Gazi Salah, 2021. "Re-examining the real option characteristics of gold for gold mining companies," Resources Policy, Elsevier, vol. 70(C).
    13. Díaz, Juan D. & Hansen, Erwin & Cabrera, Gabriel, 2023. "Gold risk premium estimation with machine learning methods," Journal of Commodity Markets, Elsevier, vol. 31(C).
    14. 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).
    15. Balcilar, Mehmet & Gupta, Rangan & Pierdzioch, Christian, 2016. "Does uncertainty move the gold price? New evidence from a nonparametric causality-in-quantiles test," Resources Policy, Elsevier, vol. 49(C), pages 74-80.
    16. Christian Pierdzioch & Marian Risse, 2020. "Forecasting precious metal returns with multivariate random forests," Empirical Economics, Springer, vol. 58(3), pages 1167-1184, March.

  76. 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.
    See citations under working paper version above.
  77. 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.

    Cited by:

    1. Robert Lehmann & Klaus Wohlrabe, 2016. "Boosting and Regional Economic Forecasting: The Case of Germany," CESifo Working Paper Series 6157, CESifo.
    2. Liu, Guo-Dong & Su, Chi-Wei, 2019. "The dynamic causality between gold and silver prices in China market: A rolling window bootstrap approach," Finance Research Letters, Elsevier, vol. 28(C), pages 101-106.
    3. Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72.
    4. Robert Lehmann & Klaus Wohlrabe, 2016. "Boosting and Forecasting German Industrial Output: What Does a Closer Look at the Details Tell Us?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(03), pages 30-33, February.
    5. Vigne, Samuel A. & Lucey, Brian M. & O’Connor, Fergal A. & Yarovaya, Larisa, 2017. "The financial economics of white precious metals — A survey," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 292-308.
    6. 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.
    7. Risse, Marian, 2019. "Combining wavelet decomposition with machine learning to forecast gold returns," International Journal of Forecasting, Elsevier, vol. 35(2), pages 601-615.
    8. Salisu, Afees A. & Ndako, Umar B. & Oloko, Tirimisiyu F., 2019. "Assessing the inflation hedging of gold and palladium in OECD countries," Resources Policy, Elsevier, vol. 62(C), pages 357-377.
    9. Lehmann, Robert & Wohlrabe, Klaus, 2015. "The role of component-wise boosting for regional economic forecasting," MPRA Paper 68186, University Library of Munich, Germany, revised 03 Dec 2015.
    10. Neil A. Wilmot, 2019. "Heavy Metals: Might as Well Jump," IJFS, MDPI, vol. 7(2), pages 1-14, June.
    11. Yaya, OlaOluwa S. & Lukman, Adewale F. & Vo, Xuan Vinh, 2022. "Persistence and volatility spillovers of bitcoin price to gold and silver prices," Resources Policy, Elsevier, vol. 79(C).
    12. Díaz, Juan D. & Hansen, Erwin & Cabrera, Gabriel, 2023. "Gold risk premium estimation with machine learning methods," Journal of Commodity Markets, Elsevier, vol. 31(C).
    13. 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.

  78. Eike Emrich & Christian Pierdzioch, 2015. "Gender and generosity in charitable giving: empirical evidence for the German Red Cross," Applied Economics Letters, Taylor & Francis Journals, vol. 22(13), pages 1041-1045, September.

    Cited by:

    1. Cisheng Wu & Hui Guang & Jing Xu & Sijia Wang, 2019. "The effects of female executives on corporate philanthropy in China," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(3), pages 628-643, May.
    2. Emrich, Eike & Pierdzioch, Christian & Rullang, Christian, 2016. "For the love of football? Using economic models of volunteering to study the motives of German football referees," Working Papers of the European Institute for Socioeconomics 16, European Institute for Socioeconomics (EIS), Saarbrücken.
    3. Emrich, Eike & Pierdzioch, Christian, 2015. "Public goods, private consumption, and human-capital formation: On the economics of volunteer labour supply," Working Papers of the European Institute for Socioeconomics 14, European Institute for Socioeconomics (EIS), Saarbrücken.

  79. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Central banks’ inflation forecasts under asymmetric loss: Evidence from four Latin-American countries," Economics Letters, Elsevier, vol. 129(C), pages 66-70.

    Cited by:

    1. Chatagny, Florian & Siliverstovs, Boriss, 2015. "Evaluating rationality of level and growth rate forecasts of direct tax revenues under flexible loss function: Evidence from Swiss cantons," Economics Letters, Elsevier, vol. 134(C), pages 65-68.
    2. Yoichi Tsuchiya, 2022. "Evaluating plant managers’ production plans over business cycles: asymmetric loss and rationality," SN Business & Economics, Springer, vol. 2(8), pages 1-29, August.
    3. Michael Frenkel & Jin-Kyu Jung & Jan-Christoph Rülke, 2017. "Rationalizing the Bias in Central Banks' Interest Rate Projections," WHU Working Paper Series - Economics Group 17-03, WHU - Otto Beisheim School of Management.
    4. Michael Frenkel & Jin-Kyu Jung & Jan-Christoph Rülke, 2022. "Testing for the rationality of central bank interest rate forecasts," Empirical Economics, Springer, vol. 62(3), pages 1037-1078, March.
    5. de Mendonça, Helder Ferreira & de Deus, Joseph David Barroso Vasconcelos, 2019. "Central bank forecasts and private expectations: An empirical assessment from three emerging economies," Economic Modelling, Elsevier, vol. 83(C), pages 234-244.

  80. Christian Pierdzioch & Georg Stadtmann, 2015. "Skewed exchange-rate forecasts," The European Journal of Finance, Taylor & Francis Journals, vol. 21(13-14), pages 1161-1175, November.

    Cited by:

    1. Frenkel, Michael & Mauch, Matthias & Rülke, Jan-Christoph, 2020. "Do forecasters of major exchange rates herd?," Economic Modelling, Elsevier, vol. 84(C), pages 214-221.

  81. 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.

    Cited by:

    1. Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian & Wohar, Mark E., 2017. "Do terror attacks predict gold returns? Evidence from a quantile-predictive-regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 276-284.
    2. 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.
    3. 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.
    4. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2019. "Forecasting Realized Gold Volatility: Is there a Role of Geopolitical Risks?," Working Papers 201943, University of Pretoria, Department of Economics.
    5. Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch, 2017. "On exchange-rate movements and gold-price fluctuations: evidence for gold-producing countries from a nonparametric causality-in-quantiles test," International Economics and Economic Policy, Springer, vol. 14(4), pages 691-700, October.
    6. 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.
    7. 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).
    8. Wang, Ningli & You, Wanhai, 2023. "New insights into the role of global factors in BRICS stock markets: A quantile cointegration approach," Economic Systems, Elsevier, vol. 47(2).
    9. 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.
    10. Zhu, Huiming & Peng, Cheng & You, Wanhai, 2016. "Quantile behaviour of cointegration between silver and gold prices," Finance Research Letters, Elsevier, vol. 19(C), pages 119-125.
    11. Plakandaras, Vasilios & Ji, Qiang, 2022. "Intrinsic decompositions in gold forecasting," Journal of Commodity Markets, Elsevier, vol. 28(C).
    12. 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).

  82. Eike Emrich & Christian Pierdzioch, 2015. "Testing economic models of volunteer labour supply: some empirical evidence for the German Red Cross," Applied Economics, Taylor & Francis Journals, vol. 47(40), pages 4247-4259, August.

    Cited by:

    1. Rullang, Christian & Emrich, Eike & Pierdzioch, Christian, 2017. "Why do referees end their careers and which factors determine the duration of a referee's career?," Working Papers of the European Institute for Socioeconomics 19, European Institute for Socioeconomics (EIS), Saarbrücken.
    2. Emrich, Eike & Pierdzioch, Christian & Rullang, Christian, 2016. "For the love of football? Using economic models of volunteering to study the motives of German football referees," Working Papers of the European Institute for Socioeconomics 16, European Institute for Socioeconomics (EIS), Saarbrücken.
    3. Emrich, Eike & Pierdzioch, Christian, 2015. "Public goods, private consumption, and human-capital formation: On the economics of volunteer labour supply," Working Papers of the European Institute for Socioeconomics 14, European Institute for Socioeconomics (EIS), Saarbrücken.
    4. Follert, Florian & Naumann, Chantal & Thieme, Lutz, 2020. "Between scientific publication and public perception: Some economic remarks on the allocation of time in science," Working Papers of the European Institute for Socioeconomics 34, European Institute for Socioeconomics (EIS), Saarbrücken.
    5. Eike Emrich & Christian Pierdzioch, 2016. "A quantile-regression test of economic models of volunteer labor supply," Economics Bulletin, AccessEcon, vol. 36(1), pages 198-204.
    6. Behrens, Christoph & Emrich, Eike & Hämmerle, Martin & Pierdzioch, Christian, 2017. "Match quality, crowding out, and crowding in: Empirical evidence for German sports clubs," Working Papers of the European Institute for Socioeconomics 21, European Institute for Socioeconomics (EIS), Saarbrücken.
    7. Wei Yang, 2016. "Are contributions of time and money substitutes or complements?," Applied Economics, Taylor & Francis Journals, vol. 48(37), pages 3526-3537, August.
    8. Emrich, Eike & Frenger, Monika & Gassmann, Freya & Hämmerle, Martin & Pierdzioch, Christian, 2019. "German sports clubs' recruitment of executive board members," Working Papers of the European Institute for Socioeconomics 31, European Institute for Socioeconomics (EIS), Saarbrücken.

  83. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2015. "Cointegration of the prices of gold and silver: RALS-based evidence," Finance Research Letters, Elsevier, vol. 15(C), pages 133-137.

    Cited by:

    1. Mishra, Bibhuti Ranjan & Pradhan, Ashis Kumar & Tiwari, Aviral Kumar & Shahbaz, Muhammad, 2019. "The dynamic causality between gold and silver prices in India: Evidence using time-varying and non-linear approaches," Resources Policy, Elsevier, vol. 62(C), pages 66-76.
    2. Salisu, Afees A. & Adediran, Idris A., 2019. "Assessing the inflation hedging potential of coal and iron ore in Australia," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    3. Liu, Guo-Dong & Su, Chi-Wei, 2019. "The dynamic causality between gold and silver prices in China market: A rolling window bootstrap approach," Finance Research Letters, Elsevier, vol. 28(C), pages 101-106.
    4. Berhan ÇOBAN & Esin FİRUZAN, 2019. "Convergence and Cointegration Analysis under Structural Breaks: Application of Turkey Tourism Markets," Sosyoekonomi Journal, Sosyoekonomi Society, issue 27(39).
    5. Andria C. Evripidou & David I. Harvey & Stephen J. Leybourne & Robert Sollis, 2022. "Testing for Co‐explosive Behaviour in Financial Time Series," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 624-650, June.
    6. 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.
    7. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2016. "Are precious metals a hedge against exchange-rate movements? An empirical exploration using bayesian additive regression trees," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 27-38.
    8. Vigne, Samuel A. & Lucey, Brian M. & O’Connor, Fergal A. & Yarovaya, Larisa, 2017. "The financial economics of white precious metals — A survey," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 292-308.
    9. 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).
    10. Salisu, Afees A. & Ndako, Umar B. & Oloko, Tirimisiyu F., 2019. "Assessing the inflation hedging of gold and palladium in OECD countries," Resources Policy, Elsevier, vol. 62(C), pages 357-377.
    11. Zhong, Wanxing & Kong, Rui & Chen, Guang, 2019. "Gold prices fluctuation of co-movement forecast between China and Russia," Resources Policy, Elsevier, vol. 62(C), pages 218-230.
    12. Zhu, Huiming & Peng, Cheng & You, Wanhai, 2016. "Quantile behaviour of cointegration between silver and gold prices," Finance Research Letters, Elsevier, vol. 19(C), pages 119-125.
    13. Yaya, OlaOluwa S. & Lukman, Adewale F. & Vo, Xuan Vinh, 2022. "Persistence and volatility spillovers of bitcoin price to gold and silver prices," Resources Policy, Elsevier, vol. 79(C).
    14. Sami, Janesh, 2021. "Has the long-run relationship between gold and silver prices really disappeared? Evidence from an emerging market," Resources Policy, Elsevier, vol. 74(C).
    15. Abdulrazak Nur Mohamed & Idiris Sid Ali Mohamed, 2023. "Precious Metals and Oil Price Dynamics," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 119-128, November.
    16. Christian Pierdzioch & Marian Risse, 2020. "Forecasting precious metal returns with multivariate random forests," Empirical Economics, Springer, vol. 58(3), pages 1167-1184, March.

  84. Christian Pierdzioch & Marian Risse & Sebastian Rohloff, 2015. "Forecasting gold-price fluctuations: a real-time boosting approach," Applied Economics Letters, Taylor & Francis Journals, vol. 22(1), pages 46-50, January.

    Cited by:

    1. Robert Lehmann & Klaus Wohlrabe, 2016. "Boosting and Regional Economic Forecasting: The Case of Germany," CESifo Working Paper Series 6157, CESifo.
    2. Lehmann, Robert & Wohlrabe, Klaus, 2015. "Looking into the Black Box of Boosting: The Case of Germany," MPRA Paper 67608, University Library of Munich, Germany.
    3. Ruan, Qingsong & Huang, Ying & Jiang, Wei, 2016. "The exceedance and cross-correlations between the gold spot and futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 139-151.
    4. 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.
    5. Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72.
    6. 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.
    7. Robert Lehmann & Klaus Wohlrabe, 2016. "Boosting and Forecasting German Industrial Output: What Does a Closer Look at the Details Tell Us?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(03), pages 30-33, February.
    8. 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.
    9. Syed Abul, Basher & Perry, Sadorsky, 2022. "Forecasting Bitcoin price direction with random forests: How important are interest rates, inflation, and market volatility?," MPRA Paper 113293, University Library of Munich, Germany.
    10. 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.
    11. 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).
    12. Lehmann, Robert & Wohlrabe, Klaus, 2015. "The role of component-wise boosting for regional economic forecasting," MPRA Paper 68186, University Library of Munich, Germany, revised 03 Dec 2015.
    13. 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.
    14. Perry Sadorsky, 2021. "Predicting Gold and Silver Price Direction Using Tree-Based Classifiers," JRFM, MDPI, vol. 14(5), pages 1-21, April.
    15. Díaz, Juan D. & Hansen, Erwin & Cabrera, Gabriel, 2023. "Gold risk premium estimation with machine learning methods," Journal of Commodity Markets, Elsevier, vol. 31(C).
    16. 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).
    17. Baur, Dirk G. & Dichtl, Hubert & Drobetz, Wolfgang & Wendt, Viktoria-Sophie, 2020. "Investing in gold – Market timing or buy-and-hold?," International Review of Financial Analysis, Elsevier, vol. 71(C).
    18. 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).

  85. Pierdzioch, Christian & Rülke, Jan-Christoph, 2015. "On the directional accuracy of forecasts of emerging market exchange rates," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 369-376.

    Cited by:

    1. Karsten Müller, 2022. "German forecasters’ narratives: How informative are German business cycle forecast reports?," Empirical Economics, Springer, vol. 62(5), pages 2373-2415, May.
    2. Tim Meyer, 2019. "On the Directional Accuracy of United States Housing Starts Forecasts: Evidence from Survey Data," The Journal of Real Estate Finance and Economics, Springer, vol. 58(3), pages 457-488, April.
    3. Baghestani, Hamid & Toledo, Hugo, 2017. "Do analysts' forecasts of term spread differential help predict directional change in exchange rates?," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 62-69.
    4. Jörg Döpke & Ulrich Fritsche & Karsten Müller, 2018. "Has Macroeconomic Forecasting changed after the Great Recession? - Panel-based Evidence on Accuracy and Forecaster Behaviour from Germany," Macroeconomics and Finance Series 201803, University of Hamburg, Department of Socioeconomics.
    5. Frederik Kunze, 2020. "Predicting exchange rates in Asia: New insights on the accuracy of survey forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 313-333, March.
    6. Kunze, Frederik, 2017. "Predicting exchange rates in Asia: New insights on the accuracy of survey forecasts," University of Göttingen Working Papers in Economics 326, University of Goettingen, Department of Economics.
    7. 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.
    8. Mei-Li Shen & Cheng-Feng Lee & Hsiou-Hsiang Liu & Po-Yin Chang & Cheng-Hong Yang, 2021. "An Effective Hybrid Approach for Forecasting Currency Exchange Rates," Sustainability, MDPI, vol. 13(5), pages 1-29, March.
    9. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions With Boosted Regression Trees," Working Papers 2015-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    10. Gerritsen, Dirk F. & Lugtigheid, Rick A.C. & Walther, Thomas, 2022. "Can Bitcoin Investors Profit from Predictions by Crypto Experts?," Finance Research Letters, Elsevier, vol. 46(PA).
    11. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions in Germany With Boosted Regression Trees," Macroeconomics and Finance Series 201505, University of Hamburg, Department of Socioeconomics.

  86. Fritsche, Ulrich & Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Forecasting the Brazilian real and the Mexican peso: Asymmetric loss, forecast rationality, and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 130-139.
    See citations under working paper version above.
  87. Christian Pierdzioch, 2015. "A note on the directional accuracy of interest-rate forecasts," Applied Economics Letters, Taylor & Francis Journals, vol. 22(13), pages 1073-1077, September.

    Cited by:

    1. Ibrahim Filiz & Jan René Judek & Marco Lorenz & Markus Spiwoks, 2021. "Sticky Stock Market Analysts," JRFM, MDPI, vol. 14(12), pages 1-27, December.

  88. Eike Emrich & Christian Pierdzioch, 2015. "A Note on the International Coordination of Antidoping Policies," Journal of Sports Economics, , vol. 16(3), pages 312-321, April.
    See citations under working paper version above.
  89. Christian Pierdzioch & Jan-Christoph Rülke, 2014. "On the Internal Consistency of Stock Market Forecasts," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 15(4), pages 351-359, October.

    Cited by:

    1. Silvija Vlah Jerić & Mihovil Anđelinović, 2019. "Evaluating Croatian stock index forecasts," Empirical Economics, Springer, vol. 56(4), pages 1325-1339, April.
    2. Jin-Kyu Jung & Michael Frenkel & Jan-Christoph Rülke, 2019. "On the consistency of central banks´ interest rate forecasts," Economics Bulletin, AccessEcon, vol. 39(1), pages 701-716.

  90. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2014. "The international business cycle and gold-price fluctuations," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 292-305.

    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Sharma, Susan Sunila, 2016. "Can consumer price index predict gold price returns?," Economic Modelling, Elsevier, vol. 55(C), pages 269-278.
    10. 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).
    11. Qian, Yao & Ralescu, Dan A. & Zhang, Bo, 2019. "The analysis of factors affecting global gold price," Resources Policy, Elsevier, vol. 64(C).
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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).
    17. 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.
    18. 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).
    19. 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).
    20. 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).
    21. 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.
    22. 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.
    23. 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.
    24. Malliaris, A.G. & Malliaris, Mary, 2015. "What drives gold returns? A decision tree analysis," Finance Research Letters, Elsevier, vol. 13(C), pages 45-53.
    25. 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.
    26. Plakandaras, Vasilios & Ji, Qiang, 2022. "Intrinsic decompositions in gold forecasting," Journal of Commodity Markets, Elsevier, vol. 28(C).
    27. 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).
    28. 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.

  91. Buch, Claudia M. & Pierdzioch, Christian, 2014. "Labor Market Volatility, Skills, And Financial Globalization," Macroeconomic Dynamics, Cambridge University Press, vol. 18(5), pages 1018-1047, July.

    Cited by:

    1. Dani Rodrik, 2018. "Populism and the economics of globalization," Journal of International Business Policy, Palgrave Macmillan, vol. 1(1), pages 12-33, June.
    2. Giovanna Vallanti, 2015. "International Capital Mobility and Unemployment Dynamics: Empirical Evidence from OECD Countries," Working Papers LuissLab 15123, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    3. Ashraf, Ayesha, 2015. "The Effects of Greenfield FDI and Cross-Border M&As on Government Size," MPRA Paper 65061, University Library of Munich, Germany.

  92. Pierdzioch, Christian & Rülke, Jan-Christoph, 2014. "Central banks’ interest rate projections and forecast coordination," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 130-137.

    Cited by:

    1. Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016. "Inflation forecasts and forecaster herding: Evidence from South African survey data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 62(C), pages 42-50.

  93. Ulrich Fritsche & Christian Pierdzioch & Jan-Christoph R�lke & Georg Stadtmann, 2014. "A Note on Forecasting the Euro: Do Forecasters Have an Asymmetric Loss Function?," International Economic Journal, Taylor & Francis Journals, vol. 28(2), pages 333-343, June.

    Cited by:

    1. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Central banks’ inflation forecasts under asymmetric loss: Evidence from four Latin-American countries," Economics Letters, Elsevier, vol. 129(C), pages 66-70.
    2. Tsuchiya, Yoichi, 2016. "Asymmetric loss and rationality of Chinese renminbi forecasts: An implication for the trade between China and the US," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 116-127.
    3. Pierdzioch, Christian & Rülke, Jan-Christoph, 2015. "On the directional accuracy of forecasts of emerging market exchange rates," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 369-376.
    4. Kiss, Tamás & Kladívko, Kamil & Silfverberg, Oliwer & Österholm, Pär, 2023. "Market participants or the random walk – who forecasts better? Evidence from micro-level survey data," Finance Research Letters, Elsevier, vol. 54(C).
    5. Giovannelli, Alessandro & Pericoli, Filippo Maria, 2020. "Are GDP forecasts optimal? Evidence on European countries," International Journal of Forecasting, Elsevier, vol. 36(3), pages 963-973.

  94. Eike Emrich & Christian Pierdzioch, 2013. "Joining the international fight against doping," Applied Economics Letters, Taylor & Francis Journals, vol. 20(15), pages 1379-1382, October.

    Cited by:

    1. Westmattelmann, Daniel & Sprenger, Marius & Hokamp, Sascha & Schewe, Gerhard, 2020. "Money matters: The impact of prize money on doping behaviour," Sport Management Review, Elsevier, vol. 23(4), pages 688-703.
    2. Els Waegeneer & Jeroen Sompele & Annick Willem, 2016. "Ethical Codes in Sports Organizations: Classification Framework, Content Analysis, and the Influence of Content on Code Effectiveness," Journal of Business Ethics, Springer, vol. 136(3), pages 587-598, July.

  95. 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.

    Cited by:

    1. Vigne, Samuel A. & Lucey, Brian M. & O’Connor, Fergal A. & Yarovaya, Larisa, 2017. "The financial economics of white precious metals — A survey," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 292-308.
    2. Salisu, Afees A. & Ndako, Umar B. & Oloko, Tirimisiyu F., 2019. "Assessing the inflation hedging of gold and palladium in OECD countries," Resources Policy, Elsevier, vol. 62(C), pages 357-377.
    3. Biswas, Pritam & Sinha, Rabindra Kumar & Sen, Phalguni, 2023. "A review of state-of-the-art techniques for the determination of the optimum cut-off grade of a metalliferous deposit with a bibliometric mapping in a surface mine planning context," Resources Policy, Elsevier, vol. 83(C).
    4. Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2020. "The Role of Global Economic Conditions in Forecasting Gold Market Volatility: Evidence from a GARCH-MIDAS Approach," Working Papers 202043, University of Pretoria, Department of Economics.

  96. Christian Pierdzioch & Jan-Christoph Rülke, 2013. "A Note on Forecasting the Rate of Change of the Price of Oil: Asymmetric Loss and Forecast Rationality," Economies, MDPI, vol. 1(1), pages 1-8, March.

    Cited by:

    1. Christoph Behrens, 2019. "A Nonparametric Evaluation of the Optimality of German Export and Import Growth Forecasts under Flexible Loss," Economies, MDPI, vol. 7(3), pages 1-23, September.
    2. Jun-Lin Lin & Yiqing Zhang & Kunhuang Zhu & Binbin Chen & Feng Zhang, 2020. "Asymmetric Loss Functions for Contract Capacity Optimization," Energies, MDPI, vol. 13(12), pages 1-13, June.

  97. Ulrich Fritsche & Christian Pierdzioch & Jan-Christoph R�lke & Georg Stadtmann, 2013. "On the directional accuracy of survey forecasts: the case of gold and silver," Applied Economics Letters, Taylor & Francis Journals, vol. 20(12), pages 1127-1129, August.

    Cited by:

    1. Li, Wenlan & Cheng, Yuxiang & Fang, Qiang, 2020. "Forecast on silver futures linked with structural breaks and day-of-the-week effect," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    2. Vigne, Samuel A. & Lucey, Brian M. & O’Connor, Fergal A. & Yarovaya, Larisa, 2017. "The financial economics of white precious metals — A survey," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 292-308.
    3. Pierdzioch, Christian & Rülke, Jan-Christoph, 2015. "On the directional accuracy of forecasts of emerging market exchange rates," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 369-376.
    4. Mihaylov, George & Cheong, Chee Seng & Zurbruegg, Ralf, 2015. "Can security analyst forecasts predict gold returns?," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 237-246.
    5. Y. Tsuchiya, 2014. "Are consumer sentiments useful in Japan? An application of a new market-timing test," Applied Economics Letters, Taylor & Francis Journals, vol. 21(5), pages 356-359, March.
    6. Gerritsen, Dirk F. & Lugtigheid, Rick A.C. & Walther, Thomas, 2022. "Can Bitcoin Investors Profit from Predictions by Crypto Experts?," Finance Research Letters, Elsevier, vol. 46(PA).

  98. Christian Pierdzioch & Jan-Christoph Rülke, 2013. "A note on the anti-herding instinct of interest rate forecasters," Empirical Economics, Springer, vol. 45(2), pages 665-673, October.

    Cited by:

    1. Pierdzioch, Christian & Rülke, Jan-Christoph, 2013. "Do inflation targets anchor inflation expectations?," Economic Modelling, Elsevier, vol. 35(C), pages 214-223.
    2. Michael Pedersen, 2020. "Surveying the survey: What can we learn about the effects of monetary policy on inflation expectations?," Working Papers Central Bank of Chile 889, Central Bank of Chile.
    3. Yoichi Tsuchiya, 2021. "Crises, market shocks, and herding behavior in stock price forecasts," Empirical Economics, Springer, vol. 61(2), pages 919-945, August.
    4. Pierdzioch, Christian & Rülke, Jan-Christoph, 2014. "Central banks’ interest rate projections and forecast coordination," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 130-137.
    5. Rülke, Jan-Christoph & Silgoner, Maria & Wörz, Julia, 2016. "Herding behavior of business cycle forecasters," International Journal of Forecasting, Elsevier, vol. 32(1), pages 23-33.

  99. Christian Pierdzioch & Eike Emrich, 2013. "A Note on Corruption and National Olympic Success," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 41(4), pages 405-411, December.

    Cited by:

    1. Kufenko, Vadim & Geloso, Vincent, 2019. "Who are the champions? Inequality, economic freedom and the olympics," Hohenheim Discussion Papers in Business, Economics and Social Sciences 13-2019, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    2. Franklin G. Mixon Jr. & Richard J. Cebula, 2022. "Property Rights Freedom and Innovation: Eponymous Skills in Women's Gymnastics," Journal of Sports Economics, , vol. 23(4), pages 407-430, May.
    3. Akarca, Ali T. & Tansel, Aysit, 2015. "Voter Reaction to Government Incompetence and Corruption Related to the 1999 Earthquakes in Turkey," IZA Discussion Papers 9162, Institute of Labor Economics (IZA).
    4. Eike Emrich & Freya Gassmann & Christian Pierdzioch, 2017. "Are Forfeitures of Olympic Medals Predictable? – A Test of the Efficiency of the International Anti-Doping System," Economics Bulletin, AccessEcon, vol. 37(3), pages 1620-1623.

  100. Pierdzioch, Christian & Rülke, Jan-Christoph, 2013. "Do inflation targets anchor inflation expectations?," Economic Modelling, Elsevier, vol. 35(C), pages 214-223.

    Cited by:

    1. Mariscal, Rodrigo & Powell, Andrew & Tavella, Pilar, 2014. "On the Credibility of Inflation Targeting Regimes in Latin America," IDB Publications (Working Papers) 6604, Inter-American Development Bank.
    2. Carlos Medel, 2018. "Econometric Analysis on Survey-data-based Anchoring of Inflation Expectations in Chile," Working Papers Central Bank of Chile 825, Central Bank of Chile.
    3. Michael Ehrmann, 2015. "Targeting Inflation from Below: How Do Inflation Expectations Behave?," International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 213-249, September.
    4. Miah, Fazlul & Khalifa, Ahmed Ali & Hammoudeh, Shawkat, 2016. "Further evidence on the rationality of interest rate expectations: A comprehensive study of developed and emerging economies," Economic Modelling, Elsevier, vol. 54(C), pages 574-590.
    5. Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016. "Inflation forecasts and forecaster herding: Evidence from South African survey data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 62(C), pages 42-50.
    6. Olivier Coibion & Yuriy Gorodnichenko & Saten Kumar & Mathieu Pedemonte, 2018. "Inflation Expectations as a Policy Tool?," NBER Working Papers 24788, National Bureau of Economic Research, Inc.
    7. Łyziak, Tomasz & Paloviita, Maritta, 2018. "On the formation of inflation expectations in turbulent times: The case of the euro area," Economic Modelling, Elsevier, vol. 72(C), pages 132-139.
    8. Young Bin Ahn & Yoichi Tsuchiya, 2016. "Directional analysis of consumers’ forecasts of inflation in a small open economy: evidence from South Korea," Applied Economics, Taylor & Francis Journals, vol. 48(10), pages 854-864, February.
    9. Chen, Li-Ju & Hu, Shih-Wen & Wang, Vey & Wen, Jiandong & Ye, Chusheng, 2014. "The effects of purchasing and price subsidy policies for agricultural products under target zones," Economic Modelling, Elsevier, vol. 43(C), pages 439-447.
    10. Johanna Amberger & Ralf Fendel & Hanno Stremmel, 2017. "Improved output gaps with financial cycle information? An application to G7 countries’ new Keynesian Phillips curves," Applied Economics Letters, Taylor & Francis Journals, vol. 24(4), pages 219-228, February.
    11. El in Ayka Alp & Zeynep Biyik, 2018. "Inflation Expectation Dynamics: A Structural Long-run Analysis for Turkey," International Journal of Economics and Financial Issues, Econjournals, vol. 8(2), pages 350-356.
    12. Frenkel, Michael & Mauch, Matthias & Rülke, Jan-Christoph, 2020. "Do forecasters of major exchange rates herd?," Economic Modelling, Elsevier, vol. 84(C), pages 214-221.
    13. Christoph Buehren & Tim Meyer & Christian Pierdzioch, 2020. "Experimental Evidence on Forecaster (anti-) Herding in Sports Markets," MAGKS Papers on Economics 202038, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    14. de Mendonça, Helder Ferreira & Simão Filho, José & Abreu, Vanessa Castro, 2023. "Central bank’s forecasts and lack of transparency: An assessment of the effect on private expectations in a large emerging economy," Economic Systems, Elsevier, vol. 47(2).

  101. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2013. "Forecasting metal prices: Do forecasters herd?," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 150-158.
    See citations under working paper version above.
  102. Christian Pierdzioch & Jan-Christoph Rülke & Georg Stadtmann, 2013. "On the internal consistency of the term structure of forecasts of housing starts," Applied Economics Letters, Taylor & Francis Journals, vol. 20(9), pages 847-851, June.

    Cited by:

    1. Pierdzioch, Christian & Rülke, Jan-Christoph, 2013. "Do inflation targets anchor inflation expectations?," Economic Modelling, Elsevier, vol. 35(C), pages 214-223.
    2. Peter Claeys, 2017. "Uncertainty spillover and policy reactions," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 35(82), pages 64-77, April.
    3. Tim Meyer, 2019. "On the Directional Accuracy of United States Housing Starts Forecasts: Evidence from Survey Data," The Journal of Real Estate Finance and Economics, Springer, vol. 58(3), pages 457-488, April.

  103. Christian Pierdzioch & Jan-Christoph Rülke & Georg Stadtmann, 2013. "Oil price forecasting under asymmetric loss," Applied Economics, Taylor & Francis Journals, vol. 45(17), pages 2371-2379, June.
    See citations under working paper version above.
  104. Jan-Christoph Rülke & Christian Pierdzioch, 2013. "Currency crises, uncertain fundamentals and private-sector forecasts," Applied Economics Letters, Taylor & Francis Journals, vol. 20(5), pages 489-494, March.

    Cited by:

    1. Frederik Kunze, 2020. "Predicting exchange rates in Asia: New insights on the accuracy of survey forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 313-333, March.
    2. Kunze, Frederik, 2017. "Predicting exchange rates in Asia: New insights on the accuracy of survey forecasts," University of Göttingen Working Papers in Economics 326, University of Goettingen, Department of Economics.

  105. Floros, Christos & Kizys, Renatas & Pierdzioch, Christian, 2013. "Financial crises, the decoupling–recoupling hypothesis, and the risk premium on the Greek stock index futures market," International Review of Financial Analysis, Elsevier, vol. 28(C), pages 166-173.

    Cited by:

    1. Afonso, António & Jalles, João Tovar & Kazemi, Mina, 2020. "The effects of macroeconomic, fiscal and monetary policy announcements on sovereign bond spreads," International Review of Law and Economics, Elsevier, vol. 63(C).
    2. Gkillas, Konstantinos & Konstantatos, Christoforos & Floros, Christos & Tsagkanos, Athanasios, 2021. "Realized volatility spillovers between US spot and futures during ECB news: Evidence from the European sovereign debt crisis," International Review of Financial Analysis, Elsevier, vol. 74(C).
    3. Antonia Gkergki, 2020. "The relationship between energy consumption and economic growth: New evidence from Greece," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2020(2), pages 131-153.

  106. Torben W. Hendricks & Bernd Kempa & Christian Pierdzioch, 2012. "Do banks’ buy and sell recommendations influence stock market volatility? Evidence from the German DAX30," The European Journal of Finance, Taylor & Francis Journals, vol. 18(1), pages 29-39, January.

    Cited by:

    1. Corbet, Shaen & Dowling, Michael & Cummins, Mark, 2015. "Analyst recommendations and volatility in a rising, falling, and crisis equity market," Finance Research Letters, Elsevier, vol. 15(C), pages 187-194.

  107. Pierdzioch, Christian & Rülke, Jan-Christoph, 2012. "Forecasting stock prices: Do forecasters herd?," Economics Letters, Elsevier, vol. 116(3), pages 326-329.

    Cited by:

    1. Pierdzioch, Christian & Rülke, Jan-Christoph, 2013. "Do inflation targets anchor inflation expectations?," Economic Modelling, Elsevier, vol. 35(C), pages 214-223.
    2. Silvija Vlah Jerić & Mihovil Anđelinović, 2019. "Evaluating Croatian stock index forecasts," Empirical Economics, Springer, vol. 56(4), pages 1325-1339, April.
    3. Yoichi Tsuchiya, 2021. "Crises, market shocks, and herding behavior in stock price forecasts," Empirical Economics, Springer, vol. 61(2), pages 919-945, August.
    4. Michael P Clements, 2014. "Assessing the Evidence of Macro- Forecaster Herding: Forecasts of Inflation and Output Growth," ICMA Centre Discussion Papers in Finance icma-dp2014-12, Henley Business School, University of Reading.
    5. Christian Pierdzioch & Jan-Christoph Rülke, 2013. "A note on the anti-herding instinct of interest rate forecasters," Empirical Economics, Springer, vol. 45(2), pages 665-673, October.
    6. Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016. "Inflation forecasts and forecaster herding: Evidence from South African survey data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 62(C), pages 42-50.
    7. Te Bao & Brice Corgnet & Nobuyuki Hanaki & Katsuhiko Okada & Yohanes E. Riyanto & Jiahua Zhu, 2022. "Financial Forecasting in the Lab and the Field: Qualified Professionals vs. Smart Students," ISER Discussion Paper 1156, Institute of Social and Economic Research, Osaka University.
    8. Filiz, Ibrahim & Nahmer, Thomas & Spiwoks, Markus, 2019. "Herd behavior and mood: An experimental study on the forecasting of share prices," Journal of Behavioral and Experimental Finance, Elsevier, vol. 24(C).
    9. Michael P. Clements, 2018. "Do Macroforecasters Herd?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(2-3), pages 265-292, March.
    10. Meade, Nigel & Driver, Ciaran, 2023. "Differing behaviours of forecasters of UK GDP growth," International Journal of Forecasting, Elsevier, vol. 39(2), pages 772-790.
    11. Galariotis, Emilios C. & Krokida, Styliani-Iris & Spyrou, Spyros I., 2016. "Bond market investor herding: Evidence from the European financial crisis," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 367-375.
    12. Christoph Buehren & Tim Meyer & Christian Pierdzioch, 2020. "Experimental Evidence on Forecaster (anti-) Herding in Sports Markets," MAGKS Papers on Economics 202038, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    13. Björn Fastrich & Peter Winker, 2014. "Combining Forecasts with Missing Data: Making Use of Portfolio Theory," Computational Economics, Springer;Society for Computational Economics, vol. 44(2), pages 127-152, August.

  108. Jan Christoph Ruelke & Christian Pierdzioch & Georg Stadtmann, 2012. "On the internal consistency of short-term, medium-term and long-term oil price forecasts," Applied Economics, Taylor & Francis Journals, vol. 44(21), pages 2757-2765, July.
    See citations under working paper version above.
  109. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "Who believes in the Taylor principle? Evidence from the Livingston survey," Economics Letters, Elsevier, vol. 117(1), pages 96-98.

    Cited by:

    1. David Staines, 2023. "Stochastic Equilibrium the Lucas Critique and Keynesian Economics," Papers 2312.16214, arXiv.org.
    2. Jia, Pengfei & Shen, Haopeng & Zheng, Shikun, 2023. "Monetary policy rules and opinionated markets," Economics Letters, Elsevier, vol. 223(C).
    3. Joscha Beckmann & Robert L. Czudaj, 2020. "Professional forecasters' expectations, consistency, and international spillovers," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(7), pages 1001-1024, November.

  110. Christian Pierdzioch & Jan-Christoph Rülke & Georg Stadtmann, 2012. "Exchange-rate forecasts and asymmetric loss: empirical evidence for the yen/dollar exchange rate," Applied Economics Letters, Taylor & Francis Journals, vol. 19(18), pages 1759-1763, December.

    Cited by:

    1. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Central banks’ inflation forecasts under asymmetric loss: Evidence from four Latin-American countries," Economics Letters, Elsevier, vol. 129(C), pages 66-70.
    2. Fritsche, Ulrich & Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Forecasting the Brazilian real and the Mexican peso: Asymmetric loss, forecast rationality, and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 130-139.
    3. Tsuchiya, Yoichi, 2015. "Herding behavior and loss functions of exchange rate forecasters over interventions and financial crises," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 266-276.
    4. Michael Frenkel & Matthias Mauch & Jan-Christoph Rülke, 2017. "Forecaster Rationality and Expectation Formation in Foreign Exchange Markets: Do Emerging Markets Differ from Industrialized Economies?," WHU Working Paper Series - Economics Group 17-04, WHU - Otto Beisheim School of Management.
    5. Tsuchiya, Yoichi, 2016. "Asymmetric loss and rationality of Chinese renminbi forecasts: An implication for the trade between China and the US," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 116-127.

  111. Christian Pierdzioch, 2012. "Macroeconomic Factors and the German Real Estate Market: A Stock-Market-Based Forecasting Experiment," Review of Economics & Finance, Better Advances Press, Canada, vol. 2, pages 87-96, May.

    Cited by:

    1. Abul, Sadeq & Al-Kandari, Ahmad M., 2020. "Real Estate Market and Macroeconomic Factors in Kuwait: An ARDL Approach," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 73(3), pages 405-434.

  112. Eike Emrich & Markus Klein & Werner Pitsch & Christian Pierdzioch, 2012. "On the determinants of sporting success – A note on the Olympic Games," Economics Bulletin, AccessEcon, vol. 32(3), pages 1890-1901.

    Cited by:

    1. Schlembach, Christoph & Schmidt, Sascha L. & Schreyer, Dominik & Wunderlich, Linus, 2022. "Forecasting the Olympic medal distribution – A socioeconomic machine learning model," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    2. Alexandre de Cássio Rodrigues & Carlos Alberto Gonçalves & Tiago Silveira Gontijo, 2019. "A two-stage DEA model to evaluate the efficiency of countries at the Rio 2016 Olympic Games," Economics Bulletin, AccessEcon, vol. 39(2), pages 1538-1545.
    3. Christian Pierdzioch & Eike Emrich, 2013. "A Note on Corruption and National Olympic Success," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 41(4), pages 405-411, December.
    4. Barth, Michael & Emrich, Eike & Daumann, Frank, 2017. "Evaluation of sporting success in Austria: An institutional economics analysis," Working Papers of the European Institute for Socioeconomics 20, European Institute for Socioeconomics (EIS), Saarbrücken.

  113. Christian Pierdzioch & Jan-Christoph Rülke & Georg Stadtmann, 2012. "Housing Starts in Canada, Japan, and the United States: Do Forecasters Herd?," The Journal of Real Estate Finance and Economics, Springer, vol. 45(3), pages 754-773, October.
    See citations under working paper version above.
  114. Renatas Kizys & Christian Pierdzioch, 2012. "Why do speculative bubbles gather steam? Some international evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 19(11), pages 1089-1093, July.

    Cited by:

    1. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2015. "Cointegration of the prices of gold and silver: RALS-based evidence," Finance Research Letters, Elsevier, vol. 15(C), pages 133-137.
    2. Wang, Miao & Wong, M. C. Sunny, 2015. "Rational speculative bubbles in the US stock market and political cycles," Finance Research Letters, Elsevier, vol. 13(C), pages 1-9.

  115. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "On the loss function of the Bank of Canada: A note," Economics Letters, Elsevier, vol. 115(2), pages 155-159.

    Cited by:

    1. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Central banks’ inflation forecasts under asymmetric loss: Evidence from four Latin-American countries," Economics Letters, Elsevier, vol. 129(C), pages 66-70.
    2. Demetrescu, Matei & Hacıoğlu Hoke, Sinem, 2019. "Predictive regressions under asymmetric loss: Factor augmentation and model selection," International Journal of Forecasting, Elsevier, vol. 35(1), pages 80-99.
    3. Chatagny, Florian & Siliverstovs, Boriss, 2015. "Evaluating rationality of level and growth rate forecasts of direct tax revenues under flexible loss function: Evidence from Swiss cantons," Economics Letters, Elsevier, vol. 134(C), pages 65-68.
    4. Yoichi Tsuchiya, 2022. "Evaluating plant managers’ production plans over business cycles: asymmetric loss and rationality," SN Business & Economics, Springer, vol. 2(8), pages 1-29, August.
    5. Tsuchiya, Yoichi, 2016. "Assessing macroeconomic forecasts for Japan under an asymmetric loss function," International Journal of Forecasting, Elsevier, vol. 32(2), pages 233-242.
    6. Tsuchiya, Yoichi, 2016. "Asymmetric loss and rationality of Chinese renminbi forecasts: An implication for the trade between China and the US," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 116-127.
    7. Tsuchiya, Yoichi, 2012. "Evaluating Japanese corporate executives’ forecasts under an asymmetric loss function," Economics Letters, Elsevier, vol. 116(3), pages 601-603.
    8. Christian Pierdzioch & Jan-Christoph Rülke & Peter Tillmann, 2013. "Using forecasts to uncover the loss function of FOMC members," MAGKS Papers on Economics 201302, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

  116. Christian Pierdzioch & Jan‐Christoph Rülke & Georg Stadtmann, 2012. "Is there a Core of Macroeconomics that Euro Area Forecasters Believe In?," German Economic Review, Verein für Socialpolitik, vol. 13(1), pages 103-115, February.

    Cited by:

    1. Behrens, Christoph & Pierdzioch, Christian & Risse, Marian, 2018. "Testing the optimality of inflation forecasts under flexible loss with random forests," Economic Modelling, Elsevier, vol. 72(C), pages 270-277.
    2. Antal, Miklós, 2014. "Green goals and full employment: Are they compatible?," Ecological Economics, Elsevier, vol. 107(C), pages 276-286.
    3. Ralf Fendel & Jan-Christoph Ruelke, 2014. "Expectations and the quantity equation - evidence from Eastern European countries," Applied Economics, Taylor & Francis Journals, vol. 46(3), pages 329-335, January.
    4. Oberst, Christian & Oelgemöller, Jens, 2013. "Economic Growth and Regional Labor Market Development in German Regions: Okun’s Law in a Spatial Context," FCN Working Papers 5/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).

  117. Christian Pierdzioch & Jan-Christoph Rülke & Georg Stadtmann, 2012. "A Note on Forecasting Emerging Market Exchange Rates: Evidence of Anti-herding," Review of International Economics, Wiley Blackwell, vol. 20(5), pages 974-984, November.
    See citations under working paper version above.
  118. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2011. "Forecasting U.S. car sales and car registrations in Japan: Rationality, accuracy and herding," Japan and the World Economy, Elsevier, vol. 23(4), pages 253-258.

    Cited by:

    1. Homolka, Lubor & Ngo, Vu Minh & Pavelková, Drahomíra & Le, Bach Tuan & Dehning, Bruce, 2020. "Short- and medium-term car registration forecasting based on selected macro and socio-economic indicators in European countries," Research in Transportation Economics, Elsevier, vol. 80(C).

  119. Christian Pierdzioch & Jan-Christoph Rulke & Georg Stadtmann, 2011. "Do professional economists' forecasts reflect Okun's law? Some evidence for the G7 countries," Applied Economics, Taylor & Francis Journals, vol. 43(11), pages 1365-1373.

    Cited by:

    1. Arai, Natsuki, 2023. "The FOMC’s new individual economic projections and macroeconomic theories," Journal of Banking & Finance, Elsevier, vol. 151(C).
    2. Kambale Kavese & Andrew Phiri, 2018. "A provincial perspective of nonlinear Okun's law for emerging markets: The case of South Africa," Working Papers 1819, Department of Economics, Nelson Mandela University.
    3. Nurudeen Abu, 2017. "Does Okun’s Law Exist in Nigeria? Evidence from the ARDL Bounds Testing Approach," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 11(2), June.
    4. Dräger, Lena & Lamla, Michael J. & Pfajfar, Damjan, 2016. "Are survey expectations theory-consistent? The role of central bank communication and news," European Economic Review, Elsevier, vol. 85(C), pages 84-111.
    5. An, Zidong & Ball, Laurence & Jalles, Joao & Loungani, Prakash, 2019. "Do IMF forecasts respect Okun’s law? Evidence for advanced and developing economies," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1131-1142.
    6. Dräger, L. & Lamla, M.J. & Pfajfar, D., 2013. "Are Consumer Expectations Theory-Consistent? The Role of Macroeconomic Determinants and Central Bank Communication," Discussion Paper 2013-063, Tilburg University, Center for Economic Research.
    7. Laurence M. Ball & João Tovar Jalles & Mr. Prakash Loungani, 2014. "Do Forecasters Believe in Okun’s Law? An Assessment of Unemployment and Output Forecasts," IMF Working Papers 2014/024, International Monetary Fund.
    8. KARGI, Bilal, 2013. "Okun’s Law and Long Term Co-Integration Analysis for OECD Countries (1987-2012)," MPRA Paper 55700, University Library of Munich, Germany.
    9. Myeong Jun Kim & Stanley I. M. Ko & Sung Y. Park, 2021. "On time and frequency-varying Okun’s coefficient: a new approach based on ensemble empirical mode decomposition," Empirical Economics, Springer, vol. 61(3), pages 1151-1188, September.
    10. Oliver Hutengs & Georg Stadtmann, 2012. "Age Effects in the Okun's Law within the Eurozone," Discussion Papers of DIW Berlin 1243, DIW Berlin, German Institute for Economic Research.
    11. Philip Hans Franses, 2020. "Correcting the January optimism effect," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 927-933, September.
    12. Ullrich Heilemann & Herman Stekler, 2010. "Perspectives on Evaluating Macroeconomic Forecasts," Working Papers 2010-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    13. Glas, Alexander & Heinisch, Katja, 2021. "Conditional macroeconomic forecasts: Disagreement, revisions and forecast errors," IWH Discussion Papers 7/2021, Halle Institute for Economic Research (IWH).

  120. Renatas Kizys & Christian Pierdzioch, 2011. "The Financial Crisis and the Stock Markets of the CEE Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(2), pages 153-172, June.

    Cited by:

    1. Trabelsi, Mohamed Ali & Hmida, Salma, 2018. "Impact of the Credit Rating Revision on the Eurozone Stock Markets," MPRA Paper 89152, University Library of Munich, Germany, revised 2018.
    2. Yu Hsing, 2013. "Effects of Fiscal Policy and Monetary Policy on the Stock Market in Poland," Economies, MDPI, vol. 1(3), pages 1-7, October.
    3. Dorota Zebrowska-Suchodolska & Andrzej Karpio & Krzysztof Kompa, 2021. "COVID-19 Pandemic: Stock Markets Situation in European Ex-Communist Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 1106-1128.
    4. Mitica Pepi, 2022. "The Impact of the Global Pandemic Crisis on East and Central EU Stock Markets," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 963-968, September.
    5. Vrchota Jaroslav & Frantíková Zuzana & Vlčková Miroslava, 2019. "Why Some SME’s in the Czech Republic Adopt Telework and Others Not?," European Countryside, Sciendo, vol. 11(4), pages 599-615, December.
    6. Anghelache, Gabriela Victoria & Kralik, Lorand Istvan & Acatrinei, Marius & Pete, Stefan, 2014. "Influence of the EU Accession Process and the Global Crisis on the CEE Stock Markets: A Multivariate Correlation Analysis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 35-52, June.
    7. Muhammad Hanif & Ariba Sabah, 2020. "Stock Markets’ Integration in Post Financial Crisis Era: Evidence from Literature," Capital Markets Review, Malaysian Finance Association, vol. 28(2), pages 43-71.
    8. Tihana Škrinjarić, 2019. "Stock Market Reactions to Brexit: Case of Selected CEE and SEE Stock Markets," IJFS, MDPI, vol. 7(1), pages 1-14, January.
    9. Cosmin Octavian Cepoi & Filip Mihai Toma, 2016. "Estimating Probability of Informed Trading on the Bucharest Stock Exchange," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(2), pages 140-160, April.
    10. Dejan ŽIVKOV & Jovan NJEGIĆ & Ivan MILENKOVIĆ, 2018. "Interrelationship between DAX Index and Four Largest Eastern European Stock Markets," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 88-103, September.
    11. Trabelsi, Mohamed Ali & Hmida, Salma, 2017. "A Dynamic Correlation Analysis of Financial Contagion: Evidence from the Eurozone Stock Markets," MPRA Paper 83718, University Library of Munich, Germany, revised 2017.

  121. Christian Pierdzioch & Jan-Christoph Rülke & Georg Stadtmann, 2011. "Survey Forecasts and Money Demand Functions: Some International Evidence," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 57(1), pages 5-14.

    Cited by:

    1. Ralf Fendel & Jan-Christoph Ruelke, 2014. "Expectations and the quantity equation - evidence from Eastern European countries," Applied Economics, Taylor & Francis Journals, vol. 46(3), pages 329-335, January.

  122. Georg Stadtmann & Christian Pierdzioch & Jan Ruelke, 2011. "Scattered Fiscal Forecasts," Economics Bulletin, AccessEcon, vol. 31(3), pages 2558-2568.

    Cited by:

    1. 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.

  123. Renatas Kizys & Christian Pierdzioch, 2011. "Contagious speculative bubbles: A note on the Greek sovereign debt crisis," Economics Bulletin, AccessEcon, vol. 31(4), pages 296-296.

    Cited by:

    1. Paulo Horta, 2013. "Contagion Effects in the European Nyse Euronext Stock Markets in the Context of the 2010 Sovereign Debt Crisis," CEFAGE-UE Working Papers 2013_12, University of Evora, CEFAGE-UE (Portugal).
    2. Polanco-Martínez, J.M. & Fernández-Macho, J. & Neumann, M.B. & Faria, S.H., 2018. "A pre-crisis vs. crisis analysis of peripheral EU stock markets by means of wavelet transform and a nonlinear causality test," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1211-1227.
    3. Go Tamakoshi & Shigeyuki Hamori, 2011. "Transmission of stock prices amongst European countries before and during the Greek sovereign debt crisis," Economics Bulletin, AccessEcon, vol. 31(4), pages 3339-3353.
    4. Vítor Caldeirinha & J. Augusto Felício & Andreia Dionísio, 2013. "Effect of the container terminal characteristics on performance," CEFAGE-UE Working Papers 2013_13, University of Evora, CEFAGE-UE (Portugal).

  124. Christian Pierdzioch & Georg Stadtmann, 2011. "Does The Ecb Have A Time‐Inconsistency Problem? A Note," Scottish Journal of Political Economy, Scottish Economic Society, vol. 58(2), pages 189-199, May.

    Cited by:

    1. Gabriel Caldas Montes, 2014. "Can inflation targeting mitigate monetary policy time-inconsistency?," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 2(2), pages 15-25, April.
    2. Julio Cesar Albuquerque Bastos & Helder Ferreira de Mendonça & Gabriel Montes, 2014. "Time-inconsistency problem: less common than we think," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 41(5), pages 708-720, September.
    3. Andrea Beccarini, 2017. "Verifying time inconsistency of the ECB monetary policy by means of a regime-switching approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(2), pages 203-227, May.

  125. Pierdzioch, Christian & Rülke, Jan Christoph & Stadtmann, Georg, 2010. "New evidence of anti-herding of oil-price forecasters," Energy Economics, Elsevier, vol. 32(6), pages 1456-1459, November.
    See citations under working paper version above.
  126. Christian Pierdzioch, 2010. "Periodically collapsing bubbles in the German stock market, 1876-1913," Applied Economics Letters, Taylor & Francis Journals, vol. 17(9), pages 907-908.

    Cited by:

    1. Berlemann, Michael & Freese, Julia & Knoth, Sven, 2012. "Eyes Wide Shut? The U.S. House Market Bubble through the Lense of Statistical Process Control," Working Paper 124/2012, Helmut Schmidt University, Hamburg.
    2. Xie, Zixiong & Chen, Shyh-Wei & Wu, An-Chi, 2019. "Asymmetric adjustment, non-linearity and housing price bubbles: New international evidence," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    3. Chen, Shyh-Wei & Xie, Zixiong, 2017. "Asymmetric adjustment and smooth breaks in dividend yields: Evidence from international stock markets," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 339-354.
    4. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2015. "Cointegration of the prices of gold and silver: RALS-based evidence," Finance Research Letters, Elsevier, vol. 15(C), pages 133-137.

  127. Christian Pierdzioch & Renatas Kizys, 2010. "Sources of time-varying exchange rate exposure," International Economics and Economic Policy, Springer, vol. 7(4), pages 371-390, December.

    Cited by:

    1. Marko Korhonen, 2014. "The relation between national stock prices and effective exchange rates: Does it affect exchange rate exposure?," Proceedings of International Academic Conferences 0201346, International Institute of Social and Economic Sciences.
    2. Mpoha, Salifya & Bonga-Bonga, Lumengo, 2020. "Assessing the extent of exchange rate risk pricing in equity markets: emerging versus developed economies," MPRA Paper 99597, University Library of Munich, Germany.
    3. Al-Shboul, Mohammad & Anwar, Sajid, 2014. "Time-varying exchange rate exposure and exchange rate risk pricing in the Canadian Equity Market," Economic Modelling, Elsevier, vol. 37(C), pages 451-463.
    4. Mei Qiu & Pinfold & Rose, 2015. "A currency preferential approach to international equity investment," Applied Economics, Taylor & Francis Journals, vol. 47(49), pages 5247-5261, October.
    5. Jaratin Lily & Imbarine Bujang & Abdul Aziz Karia & Mori Kogid, 2018. "Exchange rate exposure revisited in Malaysia: a tale of two measures," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(4), pages 409-435, December.

  128. Kizys, Renatas & Pierdzioch, Christian, 2010. "The business cycle and the equity risk premium in real time," International Review of Economics & Finance, Elsevier, vol. 19(4), pages 711-722, October.

    Cited by:

    1. Vázquez Pérez, Jesús & María-Dolores, Ramón & Londoño Yarce, Juan Miguel, 2012. "The Effect of Data Revisions on the Basic New Keynesian Model," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
    2. 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.
    3. Olga V. Mezentceva & Ann V. Mezentceva, 2015. "Hodrick-Prescott filtering of Large, emerging Economies and Analysis of Russian GDP Growth," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 1(4), pages 287-298, April.
    4. Floros, Christos & Kizys, Renatas & Pierdzioch, Christian, 2013. "Financial crises, the decoupling–recoupling hypothesis, and the risk premium on the Greek stock index futures market," International Review of Financial Analysis, Elsevier, vol. 28(C), pages 166-173.
    5. Dutra, Tiago Mota & Dias, José Carlos & Teixeira, João C.A., 2022. "Measuring financial cycles: Empirical evidence for Germany, United Kingdom and United States of America," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 599-630.

  129. M. Alper Çenesiz & Christian Pierdzioch, 2010. "Capital mobility and labor market volatility," International Economics and Economic Policy, Springer, vol. 7(4), pages 391-409, December.

    Cited by:

    1. Vaona, Andrea, 2014. "The price-price Phillips curve in small open economies and monetary unions: Theory and empirics," Kiel Working Papers 1904, Kiel Institute for the World Economy (IfW Kiel).
    2. Giovanna Vallanti, 2015. "International Capital Mobility and Unemployment Dynamics: Empirical Evidence from OECD Countries," Working Papers LuissLab 15123, Dipartimento di Economia e Finanza, LUISS Guido Carli.

  130. M. Alper Çenesiz & Christian Pierdzioch, 2010. "Financial Market Integration, Costs of Adjusting Hours Worked and Monetary Policy," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 39(1‐2), pages 1-25, February.

    Cited by:

    1. Tervala, Juha, 2012. "International welfare effects of monetary policy," Journal of International Money and Finance, Elsevier, vol. 31(2), pages 356-376.

  131. Pierdzioch Christian & Stadtmann Georg, 2010. "Herdenverhalten von Wechselkursprognostikern? / Herd Behavior of Exchange Rate Forecasters?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(4), pages 436-453, August.

    Cited by:

    1. Rülke Jan-Christoph, 2012. "Do Private Sector Forecasters Desire to Deviate From the German Council of Economic Experts?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(4), pages 414-428, August.

  132. Kizys, Renatas & Pierdzioch, Christian, 2009. "Changes in the international comovement of stock returns and asymmetric macroeconomic shocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(2), pages 289-305, April.

    Cited by:

    1. Das, Sonali & Demirer, Riza & Gupta, Rangan & Mangisa, Siphumlile, 2019. "The effect of global crises on stock market correlations: Evidence from scalar regressions via functional data analysis," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 132-147.
    2. Guneratne Wickremasinghe, 2011. "The Sri Lankan stock market and the macroeconomy: an empirical investigation," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 28(3), pages 179-195, August.
    3. Gazi Salah Uddin & Mohamed Arouri & Aviral Kumar Tiwari, 2014. "Co-movements between Germany and International Stock Markets: Some New Evidence from DCC-GARCH and Wavelet Approaches," Working Papers 2014-143, Department of Research, Ipag Business School.
    4. Brian Micallef, 2016. "Property price misalignment with fundamentals in Malta," CBM Working Papers WP/03/2016, Central Bank of Malta.
    5. Berlemann, Michael & Freese, Julia & Knoth, Sven, 2012. "Eyes Wide Shut? The U.S. House Market Bubble through the Lense of Statistical Process Control," Working Paper 124/2012, Helmut Schmidt University, Hamburg.
    6. Richard C. K. Burdekin & Pierre L. Siklos, 2011. "Enter the Dragon: Interactions between Chinese, US and Asia-Pacific Equity Markets, 1995-2010," Working Papers 232011, Hong Kong Institute for Monetary Research.
    7. Graham, Michael & Kiviaho, Jarno & Nikkinen, Jussi, 2012. "Integration of 22 emerging stock markets: A three-dimensional analysis," Global Finance Journal, Elsevier, vol. 23(1), pages 34-47.
    8. Hanisch, Max & Kempa, Bernd, 2017. "The international transmission channels of US supply and demand shocks: Evidence from a non-stationary dynamic factor model for the G7 countries," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 70-88.
    9. Michael B. Devereux & Ozge Senay & Alan Sutherland, 2014. "Nominal Stability and Financial Globalization," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(5), pages 921-959, August.
    10. Angelovska, Julijana, 2017. "The Impact Of Financial Crises On The Short-Term Interaction Between Balkan Stock Markets," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 8(2), pages 53-66.
    11. Blau, Benjamin M. & Griffith, Todd G. & Whitby, Ryan J., 2023. "Industry regulation and the comovement of stock returns," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 206-219.
    12. Muhammad Ali Nasir & Min Du, 2018. "Integration of Financial Markets in Post Global Financial Crises and Implications for British Financial Sector: Analysis Based on A Panel VAR Model," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(2), pages 363-388, June.
    13. Lupu, Radu, 2011. "Shock transmission among the European Stock markets - Conferinta CRESTERE ECONOMICA SI SUSTENABILITATE SOCIALA. PROVOCARI SI PERSPECTIVE EUROPENE>," Institute for Economic Forecasting Conference Proceedings 101101, Institute for Economic Forecasting.
    14. Chokri Zehri, 2022. "Interaction Effect of Capital Controls and Macroeconomic Policies," Economic Papers, The Economic Society of Australia, vol. 41(1), pages 15-33, March.
    15. Bissoondoyal-Bheenick, Emawtee & Do, Hung & Hu, Xiaolu & Zhong, Angel, 2022. "Sentiment and stock market connectedness: Evidence from the U.S. – China trade war," International Review of Financial Analysis, Elsevier, vol. 80(C).
    16. Michael B Devereux, 2013. "Inflation and financial globalisation," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 119-128, Bank for International Settlements.
    17. Kishor, N. Kundan & Marfatia, Hardik A., 2013. "The time-varying response of foreign stock markets to U.S. monetary policy surprises: Evidence from the Federal funds futures market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 1-24.
    18. Martin Schneider, 2013. "Are Recent Increases of Residential Property Prices in Vienna and Austria Justified by Fundamentals?," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 4, pages 29-46.
    19. Rua, António & Nunes, Luís C., 2009. "International comovement of stock market returns: A wavelet analysis," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 632-639, September.
    20. Adu, Raymond & Litsios, Ioannis & Baimbridge, Mark, 2019. "Real exchange rate and asymmetric shocks in the West African Monetary Zone (WAMZ)," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 59(C), pages 232-249.
    21. Muhammad Ali Nasir & Muhammad Shahbaz & Trinh Thi Mai & Moade Shubita, 2021. "Development of Vietnamese stock market: Influence of domestic macroeconomic environment and regional markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1435-1458, January.
    22. Silvo Dajcman, 2012. "The Dynamics of Return Comovement and Spillovers Between the Czech and European Stock Markets in the Period 1997–2010," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(4), pages 368-390, August.
    23. Mensah, Jones Odei & Alagidede, Paul, 2017. "How are Africa's emerging stock markets related to advanced markets? Evidence from copulas," Economic Modelling, Elsevier, vol. 60(C), pages 1-10.
    24. Sharif Ullah Jan & Hashim Khan, 2018. "Return Volatility and Macroeconomic Factors: A Comparison of US and Pakistani Firms," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 10(2), pages 1-28, June.
    25. Renatas Kizys & Christian Pierdzioch, 2011. "Contagious speculative bubbles: A note on the Greek sovereign debt crisis," Economics Bulletin, AccessEcon, vol. 31(4), pages 296-296.
    26. Luke Lin & Wen-Yuan Lin, 2018. "Does the major market influence transfer? Alternative effect on Asian stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 1169-1200, May.
    27. Mensah, Jones Odei & Premaratne, Gamini, 2014. "Dependence patterns among Banking Sectors in Asia: A Copula Approach," MPRA Paper 60119, University Library of Munich, Germany.
    28. Yusoff, Yuzlizawati & Masih, Mansur, 2014. "Comovement of East and West Stock Market Indexes," MPRA Paper 58872, University Library of Munich, Germany.
    29. Julijana Angelovska, 2017. "Long and Short-Term Dynamic Relationship between Macedonian and Croatian Stock Markets," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 20(2), pages 11-20, November.
    30. Loh, Lixia, 2013. "Co-movement of Asia-Pacific with European and US stock market returns: A cross-time-frequency analysis," Research in International Business and Finance, Elsevier, vol. 29(C), pages 1-13.
    31. R. Gopinathan & S. Raja Sethu Durai, 2019. "Stock market and macroeconomic variables: new evidence from India," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-17, December.
    32. Ülkü, Numan & Baker, Saleh, 2014. "Country world betas: The link between the stock market beta and macroeconomic beta," Finance Research Letters, Elsevier, vol. 11(1), pages 36-46.
    33. Michael Berlemann & Julia Freese & Sven Knoth, 2020. "Dating the start of the US house price bubble: an application of statistical process control," Empirical Economics, Springer, vol. 58(5), pages 2287-2307, May.

  133. M. Alper Çenesiz & Christian Pierdzioch, 2009. "Labor‐Market Search, Financial Market Integration, and the Fiscal Multiplier," Review of International Economics, Wiley Blackwell, vol. 17(5), pages 986-1000, November.

    Cited by:

    1. M. Alper Çenesiz & Christian Pierdzioch, 2010. "Financial Market Integration, Costs of Adjusting Hours Worked and Monetary Policy," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 39(1‐2), pages 1-25, February.

  134. Alper Çenesiz, M. & Pierdzioch, Christian, 2009. "Efficiency wages, financial market integration, and the fiscal multiplier," Journal of International Money and Finance, Elsevier, vol. 28(5), pages 853-867, September.

    Cited by:

    1. Takamatsu, Satoko, 2013. "Competitive depreciation and the role of distorting taxes in an interdependent economy," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 462-477.
    2. İrem Zeyneloğlu & Gilbert Koenig, 2016. "Recent Economic Developments and the Implications for Fiscal Policy in Open Economy Macroeconomics," Revue d'économie politique, Dalloz, vol. 126(6), pages 1023-1056.

  135. Pierdzioch, Christian & Döpke, Jörg & Hartmann, Daniel, 2008. "Forecasting stock market volatility with macroeconomic variables in real time," Journal of Economics and Business, Elsevier, vol. 60(3), pages 256-276.
    See citations under working paper version above.
  136. Hartmann, Daniel & Kempa, Bernd & Pierdzioch, Christian, 2008. "Economic and financial crises and the predictability of U.S. stock returns," Journal of Empirical Finance, Elsevier, vol. 15(3), pages 468-480, June.
    See citations under working paper version above.
  137. Martin T. Bohl & Jörg Döpke & Christian Pierdzioch, 2008. "Real‐Time Forecasting and Political Stock Market Anomalies: Evidence for the United States," The Financial Review, Eastern Finance Association, vol. 43(3), pages 323-335, August.

    Cited by:

    1. Gupta, Rangan & Pierdzioch, Christian & Selmi, Refk & Wohar, Mark E., 2018. "Does partisan conflict predict a reduction in US stock market (realized) volatility? Evidence from a quantile-on-quantile regression model☆," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 87-96.
    2. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2014. "The international business cycle and gold-price fluctuations," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 292-305.
    3. Ray R. Sturm, 2016. "Is There a Presidential Election Cycle in Firm Financials?," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 1-18, June.
    4. Rangan Gupta & Christian Pierdzioch & Refk Selmi & Mark E. Wohar, 2017. "Does Partisan Conflict Predict a Reduction in US Stock Market (Realized) Volatility? Evidence from a Quantile-on-Quantile Regression Model," Working Papers 201744, University of Pretoria, Department of Economics.
    5. Andrew C. Worthington, 2009. "Political Cycles in the Australian Stock Market since Federation," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 42(4), pages 397-409, December.

  138. Döpke, Jörg & Hartmann, Daniel & Pierdzioch, Christian, 2008. "Real-time macroeconomic data and ex ante stock return predictability," International Review of Financial Analysis, Elsevier, vol. 17(2), pages 274-290.

    Cited by:

    1. Christian Pierdzioch, 2012. "Macroeconomic Factors and the German Real Estate Market: A Stock-Market-Based Forecasting Experiment," Review of Economics & Finance, Better Advances Press, Canada, vol. 2, pages 87-96, May.
    2. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2014. "The international business cycle and gold-price fluctuations," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 292-305.

  139. Pierdzioch, Christian & Schertler, Andrea, 2008. "Investing in European stock markets for high-technology firms," Global Finance Journal, Elsevier, vol. 18(3), pages 400-415.
    See citations under working paper version above.
  140. Hartmann, Daniel & Pierdzioch, Christian, 2007. "Exchange rates, interventions, and the predictability of stock returns in Japan," Journal of Multinational Financial Management, Elsevier, vol. 17(2), pages 155-172, April.

    Cited by:

    1. Omura, Akihiro & Todorova, Neda & Li, Bin & Chung, Richard, 2016. "Steel scrap and equity market in Japan," Resources Policy, Elsevier, vol. 47(C), pages 115-124.

  141. Daniel Hartmann & Christian Pierdzioch, 2007. "International equity flows and the predictability of US stock returns," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(8), pages 583-599.
    See citations under working paper version above.
  142. Christian Pierdzioch & Georg Stadtmann, 2007. "Exchange Rates, Expectations, and Monetary Policy: a NOEM Perspective," Review of International Economics, Wiley Blackwell, vol. 15(2), pages 252-268, May.

    Cited by:

    1. Pierdzioch, Christian & Schäfer, Dirk & Stadtmann, Georg, 2010. "Fly with the eagles or scratch with the chickens? Zum Herdenverhalten von Wechselkursprognostikern," Discussion Papers 287, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.

  143. Christian Pierdzioch, 2007. "Households' Preferences and Exchange Rate Overshooting," International Economic Journal, Taylor & Francis Journals, vol. 21(2), pages 297-316.

    Cited by:

    1. Pippenger, John, 2008. "Freely Floating Exchange Rates Do Not Systematically Overshoot," University of California at Santa Barbara, Economics Working Paper Series qt97m8z6hw, Department of Economics, UC Santa Barbara.

  144. Christian Pierdzioch & Andrea Schertler, 2007. "Sources of Predictability of European Stock Markets for High-technology Firms," The European Journal of Finance, Taylor & Francis Journals, vol. 13(1), pages 1-27.
    See citations under working paper version above.
  145. Kizys, Renatas & Pierdzioch, Christian, 2006. "Business-cycle fluctuations and international equity correlations," Global Finance Journal, Elsevier, vol. 17(2), pages 252-270, December.

    Cited by:

    1. Aviral Kumar Tiwari & Mihai Ioan Mutascu & Claudiu Tiberiu Albulescu, 2016. "Continuous wavelet transform and rolling correlation of European stock markets," Post-Print hal-03528475, HAL.
    2. Das, Sonali & Demirer, Riza & Gupta, Rangan & Mangisa, Siphumlile, 2019. "The effect of global crises on stock market correlations: Evidence from scalar regressions via functional data analysis," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 132-147.
    3. Guidi, Francesco & Ugur, Mehmet, 2012. "Are South East Europe stock markets integrated with regional and global stock markets?," MPRA Paper 44133, University Library of Munich, Germany, revised Dec 2012.
    4. Aladesanmi, Olalekan & Casalin, Fabrizio & Metcalf, Hugh, 2019. "Stock market integration between the UK and the US: Evidence over eight decades," Global Finance Journal, Elsevier, vol. 41(C), pages 32-43.
    5. Kang, Sang Hoon & Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2019. "Time-frequency co-movements between the largest nonferrous metal futures markets," Resources Policy, Elsevier, vol. 61(C), pages 393-398.
    6. Jarno Kiviaho & Jussi Nikkinen & Vanja Piljak & Timo Rothovius, 2014. "The Co†movement Dynamics of European Frontier Stock Markets," European Financial Management, European Financial Management Association, vol. 20(3), pages 574-595, June.
    7. James Refalo & Hsing Fang & Jong Yi & Golak C. Nath, 2012. "Investor perceptions and equity-sovereign bond return correlation: revisiting the Mexican Peso Crisis," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 5(1), pages 78-93, September.
    8. Tsai, I-C., 2014. "Spillover of fear: Evidence from the stock markets of five developed countries," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 281-288.
    9. Syllignakis, Manolis N. & Kouretas, Georgios P., 2011. "Dynamic correlation analysis of financial contagion: Evidence from the Central and Eastern European markets," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 717-732, October.
    10. Cai, Yijie & Chou, Ray Yeutien & Li, Dan, 2009. "Explaining international stock correlations with CPI fluctuations and market volatility," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2026-2035, November.
    11. Kizys, Renatas & Pierdzioch, Christian, 2009. "Changes in the international comovement of stock returns and asymmetric macroeconomic shocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(2), pages 289-305, April.

  146. Dopke, Jorg & Pierdzioch, Christian, 2006. "Politics and the stock market: Evidence from Germany," European Journal of Political Economy, Elsevier, vol. 22(4), pages 925-943, December.
    See citations under working paper version above.
  147. Frenkel, Michael & Pierdzioch, Christian & Stadtmann, Georg, 2006. "The transparency of the ECB policy: What can we learn from its foreign exchange market interventions?," Journal of Policy Modeling, Elsevier, vol. 28(2), pages 141-156, February.

    Cited by:

    1. de Mendonça, Helder Ferreira & Nicolay, Rodolfo Tomás da Fonseca, 2017. "Is communication clarity from fiscal authority useful? Evidence from an emerging economy," Journal of Policy Modeling, Elsevier, vol. 39(1), pages 35-51.
    2. Kia, Amir, 2017. "Monetary policy transparency in a forward-looking market: Evidence from the United States," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 597-617.
    3. Helder Ferreira De Mendonça & Rodolfo Tomás Da Fonseca Nicolay, 2018. "Effect Of The Communication And Clarity Of The Fiscal Authority On Market Expectations: Evidence From The Brazilian Economy," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 65, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    4. Yushi Yoshida & Jan C. Rülke, 2009. "On-Going versus Completed Interventions and Yen/Dollar Expectations - Evidence from Disaggregated Survey Data," Discussion Papers 35, Kyushu Sangyo University, Faculty of Economics, revised Dec 2009.

  148. Pierdzioch, Christian, 2005. "Noise trading and delayed exchange rate overshooting," Journal of Economic Behavior & Organization, Elsevier, vol. 58(1), pages 133-156, September.

    Cited by:

    1. Hoffmann, Mathias & Søndergaard, Jens & Westelius, Niklas J., 2007. "The timing and magnitude of exchange rate overshooting," Discussion Paper Series 1: Economic Studies 2007,28, Deutsche Bundesbank.
    2. Bask, Mikael, 2007. "Long swings and chaos in the exchange rate in a DSGE model with a Taylor rule," Bank of Finland Research Discussion Papers 19/2007, Bank of Finland.
    3. Pippenger, John, 2008. "Freely Floating Exchange Rates Do Not Systematically Overshoot," University of California at Santa Barbara, Economics Working Paper Series qt97m8z6hw, Department of Economics, UC Santa Barbara.

  149. Frenkel, Michael & Pierdzioch, Christian & Stadtmann, Georg, 2005. "Japanese and U.S. interventions in the yen/U.S. dollar market: estimating the monetary authorities' reaction functions," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 680-698, September.

    Cited by:

    1. Kalyvitis, Sarantis & Skotida, Ifigeneia, 2010. "Some empirical evidence on the effects of U.S. monetary policy shocks on cross exchange rates," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(3), pages 386-394, August.
    2. Jun, Jongbyung, 2008. "Friction model and foreign exchange market intervention," International Review of Economics & Finance, Elsevier, vol. 17(3), pages 477-489.
    3. Reitz, Stefan & Taylor, Mark P., 2012. "FX intervention in the yen-US dollar market: A coordination channel perspective," Kiel Working Papers 1765, Kiel Institute for the World Economy (IfW Kiel).
    4. Subagyo Ahmad & Witjaksono Armanto, 2017. "Impact of Some Overseas Monetary Variables on Indonesia: SVAR Approach," Economics, Sciendo, vol. 5(2), pages 117-123, December.
    5. Hartmann, Daniel & Pierdzioch, Christian, 2007. "Exchange rates, interventions, and the predictability of stock returns in Japan," Journal of Multinational Financial Management, Elsevier, vol. 17(2), pages 155-172, April.
    6. Hall, Yosuke & Kim, Suk-Joong, 2009. "What drives Yen interventions in Tokyo?: Do off-shore foreign exchange markets matter more than Tokyo market?," Pacific-Basin Finance Journal, Elsevier, vol. 17(2), pages 175-188, April.
    7. Ito, Takatoshi & Yabu, Tomoyoshi, 2020. "Japanese Foreign Exchange Interventions, 1971-2018: Estimating a Reaction Function Using the Best Proxy," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
    8. Pontines, Victor & Siregar, Reza, 2009. "Intervention index and exchange rate regimes: the cases of selected East-Asian economies," MPRA Paper 17138, University Library of Munich, Germany.
    9. Chen, Ho-Chyuan & Chang, Kuang-Liang & Yu, Shih-Ti, 2012. "Application of the Tobit model with autoregressive conditional heteroscedasticity for foreign exchange market interventions," Japan and the World Economy, Elsevier, vol. 24(4), pages 274-282.

  150. Christian Pierdzioch, 2005. "Capital Mobility, Consumption Substitutability and the Effects of Monetary Policy in Open Economies," German Economic Review, Verein für Socialpolitik, vol. 6(1), pages 79-94, February.

    Cited by:

    1. Tervala, Juha & Engler, Philipp, 2010. "Beggar-thyself or beggar-thy-neighbour? The welfare effects of monetary policy," Discussion Papers 2010/6, Free University Berlin, School of Business & Economics.
    2. Sastre, Luis, 2012. "Simultaneity between export and import flows and the Marshall–Lerner condition," Economic Modelling, Elsevier, vol. 29(3), pages 879-883.
    3. Luis Sastre, 2018. "Marshall-Lerner Condition and the Balance of Payments Constrained Growth: The Spanish Case," Review of Economics & Finance, Better Advances Press, Canada, vol. 13, pages 29-38, August.
    4. Luis Satre Jiménez, 2010. "Economías abiertas y condición de Marshall-Lerner," Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016), Colexio de Economistas de A Coruña, Spain and Fundación Una Galicia Moderna, vol. 9, pages 1-8, November.
    5. Giovanni Ganelli & Juha Tervala, 2010. "International Transmission of Environmental Policy: A New Keynesian Perspective," Discussion Papers 58, Aboa Centre for Economics.

  151. Frenkel, Michael & Pierdzioch, Christian & Stadtmann, Georg, 2005. "The effects of Japanese foreign exchange market interventions on the yen/U.S. dollar exchange rate volatility," International Review of Economics & Finance, Elsevier, vol. 14(1), pages 27-39.
    See citations under working paper version above.
  152. Buch, Claudia M. & Doepke, Joerg & Pierdzioch, Christian, 2005. "Financial openness and business cycle volatility," Journal of International Money and Finance, Elsevier, vol. 24(5), pages 744-765, September.
    See citations under working paper version above.
  153. Buch, Claudia M. & Pierdzioch, Christian, 2005. "The integration of imperfect financial markets: Implications for business cycle volatility," Journal of Policy Modeling, Elsevier, vol. 27(7), pages 789-804, October.
    See citations under working paper version above.
  154. Frenkel, Michael & Pierdzioch, Christian & Stadtmann, Georg, 2004. "The accuracy of press reports regarding the foreign exchange interventions of the Bank of Japan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 14(1), pages 25-36, February.
    See citations under working paper version above.
  155. Christian Pierdzioch, 2004. "Financial Market Integration And Business Cycle Volatility In A Monetary Union," Scottish Journal of Political Economy, Scottish Economic Society, vol. 51(3), pages 422-442, August.
    See citations under working paper version above.
  156. Claudia M. Buch & Joerg Doepke & Christian Pierdzioch, 2004. "Business Cycle Volatility in Germany," German Economic Review, Verein für Socialpolitik, vol. 5(4), pages 451-479, November.
    See citations under working paper version above.
  157. Christian Pierdzioch & Georg Stadtmann, 2004. "The Effectiveness of the Interventions of the Swiss National Bank - An Event-Study Analysis," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 140(II), pages 229-244, June.
    See citations under working paper version above.
  158. Frenkel, Michael & Pierdzioch, Christian & Stadtmann, Georg, 2004. "Modeling the intensity of foreign exchange intervention activity," Economics Letters, Elsevier, vol. 85(3), pages 347-351, December.

    Cited by:

    1. Berhold, Kerstin & Stadtmann, Georg, 2017. "Who put the holes in the Swiss cheese? Currency crisis under appreciation pressure," Discussion Papers 391, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    2. Michel Beine & Oscar Bernal Diaz, 2005. "Why do Central Banks intervene secretly? preliminary evidence of the BoJ," DULBEA Working Papers in, ULB -- Universite Libre de Bruxelles.
    3. Oscar Bernal Diaz & Jean-Yves Gnabo, 2007. "Talks, financial operations or both? Generalizing central banks' FX reaction functions," DULBEA Working Papers 07-03.RS, ULB -- Universite Libre de Bruxelles.
    4. Chen, Ho-Chyuan & Chang, Kuang-Liang & Yu, Shih-Ti, 2012. "Application of the Tobit model with autoregressive conditional heteroscedasticity for foreign exchange market interventions," Japan and the World Economy, Elsevier, vol. 24(4), pages 274-282.
    5. Bernal, Oscar & Gnabo, Jean-Yves, 2009. "Announcements, financial operations or both? Generalizing central banks' FX reaction functions," Journal of the Japanese and International Economies, Elsevier, vol. 23(4), pages 367-394, December.

  159. Pierdzioch, Christian, 2004. "Capital mobility and the effectiveness of fiscal policy in open economies," Journal of Macroeconomics, Elsevier, vol. 26(3), pages 465-479, September.
    See citations under working paper version above.
  160. Frenkel, Michael & Pierdzioch, Christian & Stadtmann, Georg, 2004. "On the determinants of "small" and "large" foreign exchange market interventions: The case of the Japanese interventions in the 1990s," Review of Financial Economics, Elsevier, vol. 13(3), pages 231-243.

    Cited by:

    1. Suk-Joong Kim & Jeffrey Sheen, 2018. "Interventions in the Yen-Dollar Spot Market: A Story of Price, Volatility and Volume," World Scientific Book Chapters, in: Information Spillovers and Market Integration in International Finance Empirical Analyses, chapter 3, pages 73-106, World Scientific Publishing Co. Pte. Ltd..
    2. Hoshikawa, Takeshi, 2008. "The effect of intervention frequency on the foreign exchange market: The Japanese experience," Journal of International Money and Finance, Elsevier, vol. 27(4), pages 547-559, June.
    3. He Li & Zhixiang Yu & Chuanjie Zhang & Zhuang Zhang, 2017. "Determination of China’s foreign exchange intervention: evidence from the Yuan/Dollar market," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 34(1), pages 62-81, March.
    4. Hall, Yosuke & Kim, Suk-Joong, 2009. "What drives Yen interventions in Tokyo?: Do off-shore foreign exchange markets matter more than Tokyo market?," Pacific-Basin Finance Journal, Elsevier, vol. 17(2), pages 175-188, April.
    5. Francisco Ledesma-Rodriguez & Manuel Navarro-Ibanez & Jorge Perez-Rodriguez & Simon Sosvilla-Rivero, 2011. "Implicit bands in the yen/dollar exchange rate," Applied Economics, Taylor & Francis Journals, vol. 43(10), pages 1241-1255.

  161. Michael Frenkel & Christian Pierdzioch & Georg Stadtmann, 2003. "Modeling coordinated foreign exchange market interventions: The case of the Japanese and U.S. interventions in the 1990s," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 139(4), pages 709-729, December.

    Cited by:

    1. Georgios Chortareas & Ying Jiang & John C. Nankervis, 2013. "Volatility and Spillover Effects of Yen Interventions," Review of International Economics, Wiley Blackwell, vol. 21(4), pages 671-689, September.
    2. Mahalia Jackman, 2012. "Foreign exchange intervention in a small open economy with a long term peg," Economics Bulletin, AccessEcon, vol. 32(3), pages 2207-2219.
    3. Montserrat Ferré & Carolina Manzano, 2009. "When do central banks prefer to intervene secretly?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 378-393.
    4. Ito, Takatoshi & Yabu, Tomoyoshi, 2020. "Japanese Foreign Exchange Interventions, 1971-2018: Estimating a Reaction Function Using the Best Proxy," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
    5. Ferré Carracedo, Montserrat & Manzano, Carolina, 2008. "Market effects of foreign exchange coordinated intervention," Working Papers 2072/5366, Universitat Rovira i Virgili, Department of Economics.
    6. Douglas, Christopher C. & Kolar, Marek, 2009. "Capturing the time dynamics of central bank intervention," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(5), pages 950-968, December.
    7. Chen, Ho-Chyuan & Chang, Kuang-Liang & Yu, Shih-Ti, 2012. "Application of the Tobit model with autoregressive conditional heteroscedasticity for foreign exchange market interventions," Japan and the World Economy, Elsevier, vol. 24(4), pages 274-282.

  162. Döpke Jörg & Pierdzioch Christian, 2003. "Inflation and the Skewness of the Distribution of Relative Price Changes: Empirical Evidence for Germany / Inflation und die Schiefe der Verteilung relativer Preisänderungen: Empirische Evidenz für De," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 223(2), pages 136-158, April.

    Cited by:

    1. A. Nazif Çatik & Christopher Martin & A. Özlem Onder, 2011. "Relative price variability and the Phillips Curve: evidence from Turkey," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 38(5), pages 546-561, September.
    2. María Ángeles Caraballo & Carlos Usabiaga, 2006. "The Relevance of Supply Shocks for Inflation: The Spanish Case," Economic Working Papers at Centro de Estudios Andaluces E2006/17, Centro de Estudios Andaluces.
    3. Mª Ángeles Caraballo Pou & Carlos Dabús, 2005. "Nominal rigidities, relative prices and skewness," Economic Working Papers at Centro de Estudios Andaluces E2005/17, Centro de Estudios Andaluces.
    4. Carlos Usabiaga & María à ngeles Caraballo, 2004. "Inflation and Nominal Rigidities in Spanish Regions: The Ball and Mankiw Approach," ERSA conference papers ersa04p12, European Regional Science Association.
    5. Caraballo Pou, M. Angeles & Dabus, Carlos, 2008. "Nominal rigidities, skewness and inflation regimes," Research in Economics, Elsevier, vol. 62(1), pages 16-33, March.
    6. Maria A. Caraballo & Carlos Usabiaga, 2006. "Inflation and Supply Shocks in Spain: A Regional Approach," ERSA conference papers ersa06p335, European Regional Science Association.
    7. Hayo, Bernd & Ono, Hiroyuki, 2015. "Explaining inflation in the period of quantitative easing in Japan: Relative-price changes, aggregate demand, and monetary policy," Journal of Asian Economics, Elsevier, vol. 36(C), pages 72-85.

  163. Michael Frenkel & Christian Pierdzioch & Georg Stadtmann, 2002. "Devisenmarktoperationen und Informationspolitik der Europäischen Zentralbank," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 3(1), pages 49-68, February.

    Cited by:

    1. Ansgar Belke & Ralph Setzer, 2004. "Nobelpreis für Wirtschaftswissenschaften 2004 an Finn E. Kydland and Edward C. Prescott," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 248/2004, Department of Economics, University of Hohenheim, Germany.

  164. Christian Pierdzioch, 2001. "Non-Separable Consumption-Labor Choice And The International Transmission Of Monetary Policy Shocks: A Note," International Economic Journal, Taylor & Francis Journals, vol. 17(2), pages 55-64.

    Cited by:

    1. Ghironi, Fabio, 2008. "The role of net foreign assets in a New Keynesian small open economy model," Journal of Economic Dynamics and Control, Elsevier, vol. 32(6), pages 1780-1811, June.

  165. Jörg Döpke & Christian Pierdzioch, 2000. "Stock Market Dispersion, Sectoral Shocks, and the German Business Cycle," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 136(IV), pages 531-555, December.
    See citations under working paper version above.
  166. Kempa, Bernd & Nelles, Michael & Pierdzioch, Christian, 1999. "Exchange Rate Target Zones and Stock Price Volatility," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 4(4), pages 297-311, October.

    Cited by:

    1. H. Kent Baker & Satish Kumar & Kirti Goyal & Prashant Gupta, 2023. "International journal of finance and economics: A bibliometric overview," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 9-46, January.

  167. Kempa, Bernd & Nelles, Michael & Pierdzioch, Christian, 1999. "The term structure of interest rates in a sticky-price target zone model," Journal of International Money and Finance, Elsevier, vol. 18(5), pages 817-834, October.

    Cited by:

    1. Chen, Li-Ju & Ye, Chusheng & Hu, Shih-Wen & Wang, Vey & Wen, Jiandong, 2013. "The Effect of a Target Zone on the Stabilization of Agricultural Prices and Farmers' Nominal Income," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(1), pages 1-14, April.
    2. Wilfling Bernd, 2003. "Interest Rate Volatility Prior to Monetary Union under Alternative Pre-Switch Regimes," German Economic Review, De Gruyter, vol. 4(4), pages 433-457, December.
    3. Ahmet Can Ýnci, 2007. "Currency and yield Co-integration between a developed and an emerging Country: The Case of Turkey," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 21(1+2), pages 1-20.
    4. Elias D. Belessakos & Christos I. Giannikos, 2002. "The "Lack" of Volatility Trade-Offs in Exchange Rate Zones with Sticky Prices," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(1), pages 69-78, April.

  168. Kempa, Bernd & Nelles, Michael & Pierdzioch, Christian, 1997. "An analytical approximation of target zone exchange rate functions: the technique of collocation," Economics Letters, Elsevier, vol. 57(3), pages 339-343, December.

    Cited by:

    1. Bernd Kempa & Michael Nelles, 1999. "Misalignments of real exchange rates and the credibility of nominal currency bands," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 135(4), pages 613-628, December.
    2. Lai, Ching-chong & Fang, Chung-rou & Chang, Juin-jen, 2008. "Volatility trade-offs in exchange rate target zones," International Review of Economics & Finance, Elsevier, vol. 17(3), pages 366-379.
    3. Kempa, Bernd & Nelles, Michael & Pierdzioch, Christian, 1999. "The term structure of interest rates in a sticky-price target zone model," Journal of International Money and Finance, Elsevier, vol. 18(5), pages 817-834, October.
    4. Pierdzioch, Christian, 2000. "The Effectiveness of the FX Market Interventions of the Bundesbank During the Louvre Period: An Options-Based Analysis," Kiel Working Papers 971, Kiel Institute for the World Economy (IfW Kiel).

Books

  1. Emrich, Eike & Pierdzioch, Christian & Pitsch, Werner (ed.), 2015. "Falsches Spiel im Sport: Analysen zu Wettbewerbsverzerrungen," Schriften des Europäischen Instituts für Sozioökonomie e.V., European Institute for Socioeconomics (EIS), Saarbrücken, volume 10, number 10.

    Cited by:

    1. Follert, Florian, 2019. "Zur Bestrafung bei Wirtschafts- und Steuerkriminalität: Eine ökonomische Analyse," Working Papers of the European Institute for Socioeconomics 29, European Institute for Socioeconomics (EIS), Saarbrücken.
    2. Herrmann, Konstantin & Emrich, Eike & Frenger, Monika & Rasche, Christoph, 2018. "First step developing a early-warning system against corruption for sports associations," Working Papers of the European Institute for Socioeconomics 24, European Institute for Socioeconomics (EIS), Saarbrücken.
    3. Monika Frenger & Eike Emrich & Werner Pitsch, 2019. "Corruption in Olympic Sports: Prevalence Estimations of Match Fixing Among German Squad Athletes," SAGE Open, , vol. 9(3), pages 21582440198, July.

  2. Emrich, Eike & Pierdzioch, Christian, 2012. "Vademecum der Evalualogie: Neue Arten im Biotop der Wissenschaft," Schriften des Europäischen Instituts für Sozioökonomie e.V., European Institute for Socioeconomics (EIS), Saarbrücken, volume 2, number 2.

    Cited by:

    1. Emrich, Eike, 2014. "Evaluation zwischen Angebot und Nachfrage - Vom Ethos der Forschung und dessen Wirkung auf die Wissensmärkte," Working Papers of the European Institute for Socioeconomics 9, European Institute for Socioeconomics (EIS), Saarbrücken.
    2. Emrich, Eike & Pitsch, Werner, 2014. "Sportwissenschaft als Kirche der Vernunft und ihre Gläubigen: Die normativen Grundlagen wissenschaftlicher Rationalität," Working Papers of the European Institute for Socioeconomics 10, European Institute for Socioeconomics (EIS), Saarbrücken.
    3. Dessauer, Benedict & Emrich, Eike & Klein, Markus & Pierdzioch, Christian, 2013. "Zur Evaluation wissenschaftlicher Publikationsleistungen in der Sportwissenschaft," Working Papers of the European Institute for Socioeconomics 3, European Institute for Socioeconomics (EIS), Saarbrücken.
    4. Florian Bischoff & Freya Gassmann & E. Emrich, 2017. "Demand for and Satisfaction with Places at University – An Empirical Comparative Study," International Journal of Higher Education, Sciedu Press, vol. 6(2), pages 1-59, April.

  3. Emrich, Eike & Pierdzioch, Christian, 2011. "Im Biotop der Wissenschaft: Das PARK-Modell der Makroökonomie," Schriften des Europäischen Instituts für Sozioökonomie e.V., European Institute for Socioeconomics (EIS), Saarbrücken, volume 1, number 1.

    Cited by:

    1. Emrich, Eike & Pitsch, Werner, 2014. "Sportwissenschaft als Kirche der Vernunft und ihre Gläubigen: Die normativen Grundlagen wissenschaftlicher Rationalität," Working Papers of the European Institute for Socioeconomics 10, European Institute for Socioeconomics (EIS), Saarbrücken.
    2. Follert, Florian & Naumann, Chantal & Thieme, Lutz, 2020. "Between scientific publication and public perception: Some economic remarks on the allocation of time in science," Working Papers of the European Institute for Socioeconomics 34, European Institute for Socioeconomics (EIS), Saarbrücken.
    3. Dessauer, Benedict & Emrich, Eike & Klein, Markus & Pierdzioch, Christian, 2013. "Zur Evaluation wissenschaftlicher Publikationsleistungen in der Sportwissenschaft," Working Papers of the European Institute for Socioeconomics 3, European Institute for Socioeconomics (EIS), Saarbrücken.
    4. Florian Bischoff & Freya Gassmann & E. Emrich, 2017. "Demand for and Satisfaction with Places at University – An Empirical Comparative Study," International Journal of Higher Education, Sciedu Press, vol. 6(2), pages 1-59, April.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.