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The Effect of Global Crises on Stock Market Correlations: Evidence from Scalar Regressions via Functional Data Analysis. (2019). GUPTA, RANGAN ; Demirer, Riza ; DAS, SONALI ; Mangisa, Siphumlile.
In: Working Papers.
RePEc:pre:wpaper:201908.

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  2. Long-span multi-layer spillovers between moments of advanced equity markets: The role of climate risks. (2025). GUPTA, RANGAN ; Plakandaras, Vasilios ; Ji, Qiang ; Foglia, Matteo.
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  3. Connectedness between traditional finance, cryptocurrencies and DeFi in the post COVID period. (2025). Sala, Carlo ; Parrondo, Luz.
    In: Finance Research Letters.
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  4. Environmental attention and the predictability of crude oil volatility: Evidence from a new MIDAS multifractal model. (2025). Dong, Xin ; Gong, Jinguo ; Wang, Qin.
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  5. Stock market volatility and multi-scale positive and negative bubbles. (2025). Nel, Jacobus ; Gupta, Rangan ; Pierdzioch, Christian ; Nielsen, Joshua.
    In: The North American Journal of Economics and Finance.
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  6. Forecasting Stock Returns Volatility of the G7 Over Centuries: The Role of Climate Risks. (2024). Pierdzioch, Christian ; GUPTA, RANGAN ; Bouri, Elie ; Liphadzi, Asingamaanda.
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  7. Gold, platinum and the predictability of bubbles in global stock markets. (2024). GUPTA, RANGAN ; Gabauer, David ; Demirer, Riza ; Nielsen, Joshua.
    In: Resources Policy.
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  8. Forecasting international financial stress: The role of climate risks. (2024). Pierdzioch, Christian ; GUPTA, RANGAN ; del Fava, Santino ; Rognone, Lavinia.
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  9. Stock market bubbles and the realized volatility of oil price returns. (2024). Pierdzioch, Christian ; GUPTA, RANGAN ; Nielsen, Joshua.
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  10. Technological shocks and stock market volatility over a century. (2024). Salisu, Afees ; GUPTA, RANGAN ; Demirer, Riza.
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  11. Tail risk transmission from the United States to emerging stock Markets: Empirical evidence from multivariate quantile analysis. (2024). Zhang, YI ; Zhou, Long ; Liu, Fang ; Wu, Baoxiu.
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  12. Policy uncertainty and stock market volatility revisited: The predictive role of signal quality. (2023). Salisu, Afees ; GUPTA, RANGAN ; Demirer, Riza.
    In: Journal of Forecasting.
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  13. Gold-to-Platinum Price Ratio and the Predictability of Bubbles in Financial Markets. (2023). GUPTA, RANGAN ; Gabauer, David ; Demirer, Riza ; Nielsen, Joshua.
    In: Working Papers.
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  14. Technological Shocks and Stock Market Volatility Over a Century: A GARCH-MIDAS Approach. (2023). Salisu, Afees ; GUPTA, RANGAN ; Demirer, Riza.
    In: Working Papers.
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  15. Climate Risks and Forecasting Stock Market Returns in Advanced Economies over a Century. (2023). Pierdzioch, Christian ; GUPTA, RANGAN ; Gabauer, David ; Balcilar, Mehmet.
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  16. Border disputes, conflicts, war, and financial markets research: A systematic review. (2023). Pandey, Dharen ; lucey, brian ; Kumar, Satish.
    In: Research in International Business and Finance.
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  17. Testing the forecasting power of global economic conditions for the volatility of international REITs using a GARCH-MIDAS approach. (2023). Salisu, Afees ; GUPTA, RANGAN ; Bouri, Elie.
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  18. Dynamic spillovers and portfolio risk management between defi and metals: Empirical evidence from the Covid-19. (2023). Yousaf, Imran ; Ali, Shoaib ; Ijaz, Muhammad Shahzad.
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  19. Monetary policy and bubbles in G7 economies using a panel VAR approach: Implications for sustainable development. (2023). GUPTA, RANGAN ; Caraiani, Petre ; Nielsen, Joshua ; Nel, Jacobus.
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  20. Investor sentiment and multi-scale positive and negative stock market bubbles in a panel of G7 countries. (2023). GUPTA, RANGAN ; van Eyden, Renee ; Nielsen, Joshua ; Bouri, Elie.
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  21. Mixed‐frequency forecasting of crude oil volatility based on the information content of global economic conditions. (2022). Salisu, Afees ; GUPTA, RANGAN ; Bouri, Elie ; Ji, Qiang.
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  22. Investor Sentiment and Multi-Scale Positive and Negative Stock Market Bubbles in a Panel of G7 Countries. (2022). GUPTA, RANGAN ; van Eyden, Renee ; Nielsen, Joshua ; Bouri, Elie.
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  23. Policy Uncertainty and Stock Market Volatility Revisited: The Predictive Role of Signal Quality. (2022). Salisu, Afees ; GUPTA, RANGAN ; Demirer, Riza.
    In: Working Papers.
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  24. The Role of the Monthly ENSO in Forecasting the Daily Baltic Dry Index. (2022). Rossini, Luca ; GUPTA, RANGAN ; Bouri, Elie.
    In: Working Papers.
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  25. Stock Market Bubbles and the Forecastability of Gold Returns (and Volatility). (2022). GUPTA, RANGAN ; Gabauer, David ; Karmakar, Sayar ; Nielsen, Joshua.
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  26. Oil-Price Uncertainty and International Stock Returns: Dissecting Quantile-Based Predictability and Spillover Effects Using More than a Century of Data. (2022). Pierdzioch, Christian ; GUPTA, RANGAN ; Balcilar, Mehmet.
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  27. Testing the Forecasting Power of Global Economic Conditions for the Volatility of International REITs using a GARCH-MIDAS Approach. (2022). Salisu, Afees ; GUPTA, RANGAN ; Bouri, Elie.
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  28. Oil shocks and volatility of green investments: GARCH-MIDAS analyses. (2022). YAYA, OLAOLUWA ; Ogbonna, Ahamuefula ; Vo, Xuan Vinh.
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  29. Oil-Price Uncertainty and International Stock Returns: Dissecting Quantile-Based Predictability and Spillover Effects Using More than a Century of Data. (2022). Pierdzioch, Christian ; GUPTA, RANGAN ; Balcilar, Mehmet.
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  30. Do volatility spillover and hedging among GCC stock markets and global factors vary from normal to turbulent periods? Evidence from the global financial crisis and Covid-19 pandemic crisis. (2022). Yousaf, Imran ; Beljid, Makram ; Chaibi, Anis ; al Ajlouni, Ahmed.
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  31. Oil shocks and volatility of green investments: GARCH-MIDAS analyses. (2022). YAYA, OLAOLUWA ; Ogbonna, Ahamuefula ; Vo, Xuan Vinh.
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  32. Static and dynamic connectedness between NFTs, Defi and other assets: Portfolio implication. (2022). Yousaf, Imran ; Yarovaya, Larisa.
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  34. Global financial cycle and the predictability of oil market volatility: Evidence from a GARCH-MIDAS model. (2022). Salisu, Afees ; GUPTA, RANGAN ; Demirer, Riza.
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  37. Conventional and Unconventional Monetary Policy Rate Uncertainty and Stock Market Volatility: A Forecasting Perspective. (2021). GUPTA, RANGAN ; Bouri, Elie ; Liu, Rui Peng.
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  38. The ENSO Cycle and Forecastability of Global Inflation and Output Growth: Evidence from Standard and Mixed-Frequency Multivariate Singular Spectrum Analyses. (2021). GUPTA, RANGAN ; Yeganegi, Mohammad Reza ; Hassani, Hossein.
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  43. Tail Risks and Forecastability of Stock Returns of Advanced Economies: Evidence from Centuries of Data. (2021). Salisu, Afees ; Ogbonna, Ahamuefula ; GUPTA, RANGAN.
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  46. Xu, N. (2017), ‘Global risk aversion and international return comovements’.
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  47. Yarovaya, L. and Lau, M. C. K. (2016), ‘Stock market comovements around the global financial crisis: Evidence from the uk, brics and mist markets’, Research in International Business and Finance 37, 605–619.
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Cocites

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  1. Optimal Versus Naive Diversification in Commodity Futures Markets. (2025). Schuhmacher, Frank ; Auer, Benjamin R ; Heide, Max.
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  2. Decoding financial markets: Empirical DGPs as the key to model selection and forecasting excellence – A proof of concept. (2025). Stanisic, Nikola ; Sharma, Abhishek ; Koji, Milena ; Vogl, Markus.
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  3. Assessment of Portfolio Credit Risk under Dynamic Default Correlation. (2025). Matveev, Aleksandr.
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  4. Improved robust price bounds for multi-asset derivatives under market-implied dependence information. (2024). Lütkebohmert, Eva ; Ansari, Jonathan ; Sester, Julian ; Neufeld, Ariel ; Lutkebohmert, Eva.
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  5. Core-satellite investing with commodity futures momentum. (2024). Stadtmuller, Immo ; Schuhmacher, Frank ; Auer, Benjamin R.
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  6. Asset allocation, limited participation and flight‐to‐quality under ambiguity of correlation. (2023). Wang, Yanjie ; Zhang, Shunming ; Huang, Helen Hui.
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  7. From Black Wednesday to Brexit: Macroeconomic shocks and correlations of equity returns in France, Germany, Italy, Spain, and the United Kingdom. (2023). Gottschalk, Sylvia.
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  8. Dynamic correlation and risk resonance among industries of Chinese stock market: New evidence from time–frequency domain and complex network perspectives. (2023). Li, Jiang-Cheng ; Zhong, Guang-Yan ; Tao, Chen.
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  9. Correlation scenarios and correlation stress testing. (2023). Packham, N ; Woebbeking, F.
    In: Journal of Economic Behavior & Organization.
    RePEc:eee:jeborg:v:205:y:2023:i:c:p:55-67.

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  10. Co-movement between commodity and equity markets revisited—An application of the Thick Pen method. (2023). Wadud, Sania ; Lee, Seungho ; Durand, Robert B ; Gronwald, Marc.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:87:y:2023:i:c:s1057521923000844.

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  11. Hurst exponent dynamics of S&P 500 returns: Implications for market efficiency, long memory, multifractality and financial crises predictability by application of a nonlinear dynamics analysis framework. (2023). Vogl, Markus.
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  12. Improved Robust Price Bounds for Multi-Asset Derivatives under Market-Implied Dependence Information. (2023). Sester, Julian ; Ansari, Jonathan ; Lutkebohmert, Eva ; Neufeld, Ariel.
    In: Papers.
    RePEc:arx:papers:2204.01071.

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  13. Detecting and dating possibly distinct structural breaks in the covariance structure of financial assets. (2023). Mugrabi, Farah.
    In: LIDAM Discussion Papers LFIN.
    RePEc:ajf:louvlf:2023001.

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  14. Forecasting risk measures based on structural breaks in the correlation matrix. (2022). Duan, Fang.
    In: Ruhr Economic Papers.
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  15. Quantitative modelling frontiers: a literature review on the evolution in financial and risk modelling after the financial crisis (2008–2019). (2022). Vogl, Markus.
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  16. Volatility spillover and dynamic co-movement of foreign direct investment between Malaysia and China and developed countries. (2022). Kogid, Mori ; Lily, Jaratin ; Alin, James M ; Mulok, Dullah ; Asid, Rozilee.
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  17. On the benefits of active stock selection strategies for diversified investors. (2022). Stadtmuller, Immo ; Schuhmacher, Frank ; Auer, Benjamin R.
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  18. Credit booms and crisis-emergent asset comovement: The problem of latent correlation. (2022). Giménez Roche, Gabriel ; Chibane, Messaoud ; Gimenez, Gabriel A ; Gabriel, Amadeus.
    In: The Quarterly Review of Economics and Finance.
    RePEc:eee:quaeco:v:85:y:2022:i:c:p:270-279.

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  19. Change-point problems for multivariate time series using pseudo-observations. (2022). Bahraoui, Tarik ; Remillard, Bruno N ; Nasri, Bouchra R.
    In: Journal of Multivariate Analysis.
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  20. Controversy in financial chaos research and nonlinear dynamics: A short literature review. (2022). Vogl, Markus.
    In: Chaos, Solitons & Fractals.
    RePEc:eee:chsofr:v:162:y:2022:i:c:s0960077922006543.

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  21. Correlation scenarios and correlation stress testing. (2022). Packham, N ; Woebbeking, F.
    In: Papers.
    RePEc:arx:papers:2107.06839.

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  22. Correlation scenarios and correlation stress testing. (2021). Packham, Natalie ; Woebbeking, Fabian.
    In: IRTG 1792 Discussion Papers.
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  23. Estimating and forecasting dynamic correlation matrices: A nonlinear common factor approach. (2021). Yang, Yuhong ; Zhang, Yongli ; Rolling, Craig.
    In: Journal of Multivariate Analysis.
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  24. Correlation regimes in international equity and bond returns. (2021). Martinez, Oscar ; Aslanidis, Nektarios.
    In: Economic Modelling.
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  25. Cross-ownership as a structural explanation for rising correlations in crisis times. (2021). Bertschinger, Nils ; Araneda, Axel A.
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    RePEc:arx:papers:2112.04824.

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  26. Comparing high-dimensional conditional covariance matrices: Implications for portfolio selection. (2020). Santos, Andre ; Ruiz, Esther ; Moura, Guilherme V.
    In: Journal of Banking & Finance.
    RePEc:eee:jbfina:v:118:y:2020:i:c:s0378426620301485.

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  27. A self-normalization test for correlation change. (2020). Choi, Ji-Eun ; Shin, Dong Wan.
    In: Economics Letters.
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  28. Investigating the dynamic relationship between cryptocurrencies and conventional assets: Implications for financial investors. (2020). Maouchi, Youcef ; Charfeddine, Lanouar ; Benlagha, Noureddine.
    In: Economic Modelling.
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  29. The Effect of Global Crises on Stock Market Correlations: Evidence from Scalar Regressions via Functional Data Analysis. (2019). GUPTA, RANGAN ; Demirer, Riza ; DAS, SONALI ; Mangisa, Siphumlile.
    In: Working Papers.
    RePEc:pre:wpaper:201908.

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  30. The effect of global crises on stock market correlations: Evidence from scalar regressions via functional data analysis. (2019). GUPTA, RANGAN ; Demirer, Riza ; DAS, SONALI ; Mangisa, Siphumlile.
    In: Structural Change and Economic Dynamics.
    RePEc:eee:streco:v:50:y:2019:i:c:p:132-147.

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  31. A factor-model approach for correlation scenarios and correlation stress testing. (2019). Packham, N ; Woebbeking, C F.
    In: Journal of Banking & Finance.
    RePEc:eee:jbfina:v:101:y:2019:i:c:p:92-103.

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  32. A factor-model approach for correlation scenarios and correlation stress-testing. (2019). Packham, Natalie ; Woebbeking, Fabian.
    In: Papers.
    RePEc:arx:papers:1807.11381.

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  33. Does Liquidity Risk Explain the Time-Variation in Asset Correlations? Evidence from Stocks, Bonds and Commodities. (2018). GUPTA, RANGAN ; Demirer, Riza ; Twala, Zintle.
    In: Journal of Economics and Behavioral Studies.
    RePEc:rnd:arjebs:v:10:y:2018:i:2:p:120-132.

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  34. Does Liquidity Risk Explain the Time-Variation in Asset Correlations? Evidence from Stocks, Bonds and Commodities. (2018). GUPTA, RANGAN ; Demirer, Riza ; Twala, Zintle.
    In: Working Papers.
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  35. Global risk aversion and emerging market return comovements. (2018). Omay, Tolga ; Demirer, Riza ; Yuksel, Aydin.
    In: Economics Letters.
    RePEc:eee:ecolet:v:173:y:2018:i:c:p:118-121.

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  36. Volatility as an Alternative asset Class: Does It Improve Portfolio Performance?. (2017). Guidolin, Massimo ; Caloiero, Elvira.
    In: BAFFI CAREFIN Working Papers.
    RePEc:baf:cbafwp:cbafwp1763.

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