Pablo Jose Campos de Carvalho

Personal Details

First Name:	Pablo
Middle Name:	Jose Campos
Last Name:	de Carvalho
Suffix:
RePEc Short-ID:	pde1112
	[This author has chosen not to make the email address public]
Terminal Degree:	2016 Lally School of Management and Technology; Rensselaer Polytechnic Institute (from RePEc Genealogy)

Affiliation

Banco Central do Brasil

Brasília, Brazil
http://www.bcb.gov.br/
RePEc:edi:bcbgvbr (more details at EDIRC)

Citations

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Working papers

1. Pablo Jose Campos de Carvalho & Aparna Gupta, 2018. "Multivariate Jump Diffusion Model with Markovian Contagion," Working Papers Series 482, Central Bank of Brazil, Research Department.

   Cited by:

   1. de Carvalho, Pablo Jose Campos & Gupta, Aparna, 2018. "A network approach to unravel asset price comovement using minimal dependence structure," Journal of Banking & Finance, Elsevier, vol. 91(C), pages 119-132.

Articles

1. de Carvalho, Pablo Jose Campos & Gupta, Aparna, 2018. "A network approach to unravel asset price comovement using minimal dependence structure," Journal of Banking & Finance, Elsevier, vol. 91(C), pages 119-132.

   Cited by:

   1. Zhou, Yang & Xie, Chi & Wang, Gang-Jin & Zhu, You & Uddin, Gazi Salah, 2023. "Analysing and forecasting co-movement between innovative and traditional financial assets based on complex network and machine learning," Research in International Business and Finance, Elsevier, vol. 64(C).
   2. Le, Chau & Dickinson, David & Le, Anh, 2022. "Sovereign risk spillovers: A network approach," Journal of Financial Stability, Elsevier, vol. 60(C).
   3. Balcilar, Mehmet & Gabauer, David & Umar, Zaghum, 2021. "Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach," Resources Policy, Elsevier, vol. 73(C).
   4. Dayong Zhang & Qiang Ji & Wan-Li Zhao & Nicholas J Horsewood, 2021. "Regional housing price dependency in the UK: A dynamic network approach," Urban Studies, Urban Studies Journal Limited, vol. 58(5), pages 1014-1031, April.
   5. Binqing Xiao & Honghai Yu & Libing Fang & Sifang Ding, 2020. "Estimating the connectedness of commodity futures using a network approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(4), pages 598-616, April.
   6. Guorong Chen & Shiyi Fang & Qibo Chen & Yun Zhang, 2023. "Risk Spillovers and Network Connectedness between Clean Energy Stocks, Green Bonds, and Other Financial Assets: Evidence from China," Energies, MDPI, vol. 16(20), pages 1-21, October.
   7. Ma, Yan-Ran & Ji, Qiang & Wu, Fei & Pan, Jiaofeng, 2021. "Financialization, idiosyncratic information and commodity co-movements," Energy Economics, Elsevier, vol. 94(C).
   8. Chibane, Messaoud & Gabriel, Amadeus & Giménez Roche, Gabriel A., 2022. "Credit booms and crisis-emergent asset comovement: The problem of latent correlation," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 270-279.
   9. Yuan, Ying & Wang, Haiying & Jin, Xiu, 2022. "Pandemic-driven financial contagion and investor behavior: Evidence from the COVID-19," International Review of Financial Analysis, Elsevier, vol. 83(C).
   10. Xu Zhang & Xian Yang & Jianping Li & Jun Hao, 2023. "Contemporaneous and noncontemporaneous idiosyncratic risk spillovers in commodity futures markets: A novel network topology approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 705-733, June.

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