Sunil Paul

Personal Details

First Name:	Sunil
Middle Name:
Last Name:	Paul
Suffix:
RePEc Short-ID:	ppa705
	[This author has chosen not to make the email address public]
	https://sites.google.com/iitgoa.ac.in/sunil-paul/home

Affiliation

School of Humanities and Social Sciences, Indian Institute of Technology - Goa

http://www.iitgoa.ac.in
India, Goa

Citations

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

Working papers

1. S. Raja Sethu Durai & Sunil Paul, 2018. "Calendar Anomaly and the Degree of Market Inefficiency of Bitcoin," Working Papers 2018-168, Madras School of Economics,Chennai,India.

   Cited by:

   1. Nuray Tosunoğlu & Hilal Abacı & Gizem Ateş & Neslihan Saygılı Akkaya, 2023. "Artificial neural network analysis of the day of the week anomaly in cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-24, December.
   2. Yaya, OlaOluwa S & Ogbonna, Ephraim A, 2019. "Do we Experience Day-of-the-week Effects in Returns and Volatility of Cryptocurrency?," MPRA Paper 91429, University Library of Munich, Germany.
   3. Chen-Han Liu, 2024. "Exploring Calendar Effects in Bitcoin Returns: An Analysis of Market Efficiency," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 14(4), pages 1-3.

2. Sartaj Rasool Rather & Sunil Paul & S. Raja Sethu Durai, 2015. "Inflation Forecasting and the Distribution of Price Changes," Working Papers 2015-099, Madras School of Economics,Chennai,India.
   • Sartaj Rasool Rather & Sunil Paul & S. Raja Sethu Durai, 2015. "Inflation forecasting and the distribution of price changes," Economics Bulletin, AccessEcon, vol. 35(1), pages 226-232.

   Cited by:

   1. Sartaj Rasool Rather, 2016. "Asymmetric Impact of Relative Price Shocks in Presence of Trend Inflation," Working Papers 2016-153, Madras School of Economics,Chennai,India.
      • Sartaj Rasool Rather, 2019. "Asymmetric impact of relative price shocks in presence of trend inflation," Applied Economics Letters, Taylor & Francis Journals, vol. 26(9), pages 755-758, May.
   2. Sartaj Rather, 2016. "Asymmetric Impact of Relative Price Shocks in Presence of Trend Inflation," Working Papers id:11477, eSocialSciences.

3. Sunil Paul & Sartaj Rasool Rather & M. Ramachandran, 2015. "Money and Inflation: Evidence from P-Star Model," Working Papers 2015-115, Madras School of Economics,Chennai,India.

   Cited by:

   1. Santosh K. Sahu & Deepanjali Mehta, 2018. "Determinants Of Energy And Co2 Emission Intensities: A Study Of Manufacturing Firms In India," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(02), pages 389-407, March.
      • Santosh K. Sahu & Deepanjali Mehta, 2015. "Determinants of Energy and CO2 Emission Intensities: A Study of Manufacturing Firms in India," Working Papers 2015-116, Madras School of Economics,Chennai,India.

4. B. Anand & Sunil Paul & M. Ramachandran, 2014. "Volatility Spillover between Oil and Stock Market Returns," Working Papers 2014-095, Madras School of Economics,Chennai,India.
   • Anand, B. & Paul, Sunil & Ramachandran, M., 2014. "Volatility Spillover between Oil and Stock Market Returns," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 49(1), pages 37-56.

   Cited by:

   1. Zhang, Yingying & Xu, Shaojun, 2023. "Spillover connectedness between oil and China's industry stock markets: A perspective of carbon emissions," Finance Research Letters, Elsevier, vol. 54(C).
   2. Guan, Bo & Mazouz, Khelifa & Xu, Yongdeng, 2024. "Asymmetric volatility spillover between crude oil and other asset markets," Energy Economics, Elsevier, vol. 130(C).
      • Guan, Bo & Mazouz, Khelifa & Xu, Yongdeng, 2023. "Asymmetric volatility spillover between crude oil and other asset markets," Cardiff Economics Working Papers E2023/27, Cardiff University, Cardiff Business School, Economics Section.
   3. Escribano, Ana & Koczar, Monika W. & Jareño, Francisco & Esparcia, Carlos, 2023. "Shock transmission between crude oil prices and stock markets," Resources Policy, Elsevier, vol. 83(C).
   4. B., Anand & Paul, Sunil, 2021. "Oil shocks and stock market: Revisiting the dynamics," Energy Economics, Elsevier, vol. 96(C).
   5. Mahmoud Ayoub & Mahmoud Qadan, 2024. "Financial ambiguity and oil prices," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-23, December.
   6. Ozdemir, Huseyin & Ozdemir, Zeynel Abidin, 2021. "A Survey of Hedge and Safe Havens Assets against G-7 Stock Markets before and during the COVID-19 Pandemic," IZA Discussion Papers 14888, Institute of Labor Economics (IZA).
   7. Wang, Hu & Li, Shouwei, 2021. "Asymmetric volatility spillovers between crude oil and China's financial markets," Energy, Elsevier, vol. 233(C).
   8. Jinghua Wang & Geoffrey Ngene, 2018. "Symmetric and asymmetric nonlinear causalities between oil prices and the U.S. economic sectors," Review of Quantitative Finance and Accounting, Springer, vol. 51(1), pages 199-218, July.
   9. Theplib, Krit & Sethapramote, Yuthana & Jiranyakul, Komain, 2020. "Shock and Volatility Spillovers between Crude Oil Price and Stock Returns: Evidence for Thailand," MPRA Paper 98094, University Library of Munich, Germany.
   10. Loc Dong Truong & H. Swint Friday & Nhien Tuyet Doan, 2024. "The Asymmetric Effects of Oil Price Volatility on Stock Returns: Evidence from Ho Chi Minh Stock Exchange," JRFM, MDPI, vol. 17(7), pages 1-14, June.
   11. Burhan F. Yavas & Lidija Dedi & Tihana Škrinjarić, 2022. "Did equity returns and volatilities change after the 2016 Trump election victory?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1291-1308, January.

Articles

1. Jacob, Tinu Iype & Paul, Sunil, 2024. "Labour income share, market power and automation: Evidence from an emerging economy," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 37-45.

   Cited by:

   1. Guzel Salimova & Alisa Ableeva & Rasul Gusmanov & Gulnara Nigmatullina & Tatyana Lubova, 2024. "Multidimensional Assessment of the Labour Market in the Regions of the Russian Federation," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 67(2), pages 547-569, June.

2. Anand, B. & Paul, Sunil & Nair, Aswathi R., 2023. "Time-varying effects of oil price shocks on financial stress: Evidence from India," Energy Economics, Elsevier, vol. 122(C).

   Cited by:

   1. Elsayed, Ahmed H. & Sohag, Kazi & Sousa, Ricardo M., 2024. "Oil shocks and financial stability in MENA countries," Resources Policy, Elsevier, vol. 89(C).
   2. Yicong Lin & Mingxuan Song, 2023. "Robust bootstrap inference for linear time-varying coefficient models: Some Monte Carlo evidence," Tinbergen Institute Discussion Papers 23-049/III, Tinbergen Institute.

3. B., Anand & Paul, Sunil, 2021. "Oil shocks and stock market: Revisiting the dynamics," Energy Economics, Elsevier, vol. 96(C).

   Cited by:

   1. Rufei Zhang & Haizhen Zhang & Wang Gao & Ting Li & Shixiong Yang, 2022. "The Dynamic Effects of Oil Price Shocks on Exchange Rates—From a Time-Varying Perspective," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
   2. Ghani, Maria & Guo, Qiang & Ma, Feng & Li, Tao, 2022. "Forecasting Pakistan stock market volatility: Evidence from economic variables and the uncertainty index," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 1180-1189.
   3. Hanif, Waqas & Hadhri, Sinda & El Khoury, Rim, 2024. "Quantile spillovers and connectedness between oil shocks and stock markets of the largest oil producers and consumers," Journal of Commodity Markets, Elsevier, vol. 34(C).
   4. Lu, Xunfa & He, Pengchao & Zhang, Zhengjun & Apergis, Nicholas & Roubaud, David, 2024. "Extreme co-movements between decomposed oil price shocks and sustainable investments," Energy Economics, Elsevier, vol. 134(C).
   5. Wang, Jiqian & Ma, Feng & Bouri, Elie & Zhong, Juandan, 2022. "Volatility of clean energy and natural gas, uncertainty indices, and global economic conditions," Energy Economics, Elsevier, vol. 108(C).
   6. Liu, Guangqiang & Guo, Xiaozhu, 2022. "Forecasting stock market volatility using commodity futures volatility information," Resources Policy, Elsevier, vol. 75(C).
   7. Youshu Li & Junjie Guo, 2022. "The asymmetric impacts of oil price and shocks on inflation in BRICS: a multiple threshold nonlinear ARDL model," Applied Economics, Taylor & Francis Journals, vol. 54(12), pages 1377-1395, March.
   8. Sohag, Kazi & Hassan, M. Kabir & Bakhteyev, Stepan & Mariev, Oleg, 2023. "Do green and dirty investments hedge each other?," Energy Economics, Elsevier, vol. 120(C).
   9. Naeem, Muhammad Abubakr & Pham, Linh & Senthilkumar, Arunachalam & Karim, Sitara, 2022. "Oil shocks and BRIC markets: Evidence from extreme quantile approach," Energy Economics, Elsevier, vol. 108(C).
   10. Hasan, Mostafa Monzur & Wong, Jin Boon & Al Mamun, Mohammed Abdullah, 2022. "Oil shocks and corporate social responsibility," Energy Economics, Elsevier, vol. 107(C).
   11. Raheem, Ibrahim D., 2022. "Different strokes for different folks: The case of oil shocks and emerging equity markets," Energy Economics, Elsevier, vol. 108(C).
   12. Papież, Monika & Rubaszek, Michał & Szafranek, Karol & Śmiech, Sławomir, 2022. "Are European natural gas markets connected? A time-varying spillovers analysis," Resources Policy, Elsevier, vol. 79(C).
   13. Asadi, Mehrad & Roudari, Soheil & Tiwari, Aviral Kumar & Roubaud, David, 2023. "Scrutinizing commodity markets by quantile spillovers: A case study of the Australian economy," Energy Economics, Elsevier, vol. 118(C).
   14. Yang, Tianle & Zhou, Fangxing & Du, Min & Du, Qunyang & Zhou, Shirong, 2023. "Fluctuation in the global oil market, stock market volatility, and economic policy uncertainty: A study of the US and China," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 377-387.
   15. Szafranek Karol & Rubaszek Michał, 2024. "Have European natural gas prices decoupled from crude oil prices? Evidence from TVP-VAR analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(3), pages 507-530.
       • Michał Rubaszek & Karol Szafranek, 2022. "Have European natural gas prices decoupled from crude oil prices? Evidence from TVP-VAR analysis," KAE Working Papers 2022-078, Warsaw School of Economics, Collegium of Economic Analysis.
   16. Mensi, Walid & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Modeling the frequency dynamics of spillovers and connectedness between crude oil and MENA stock markets with portfolio implications," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 397-419.
   17. Roudari, Soheil & Mensi, Walid & Kharusi, Sami Al & Ahmadian-Yazdi, Farzaneh, 2023. "Impacts of oil shocks on stock markets in Norway and Japan: Does monetary policy's effectiveness matter?," International Economics, Elsevier, vol. 173(C), pages 343-358.
   18. Zeng, Qing & Lu, Xinjie & Dong, Dayong & Li, Pan, 2022. "Category-specific EPU indices, macroeconomic variables and stock market return predictability," International Review of Financial Analysis, Elsevier, vol. 84(C).
   19. Wang, Kai-Hua & Su, Chi-Wei & Xiao, Yidong & Liu, Lu, 2022. "Is the oil price a barometer of China's automobile market? From a wavelet-based quantile-on-quantile regression perspective," Energy, Elsevier, vol. 240(C).
   20. Tian, Maoxi & Alshater, Muneer M. & Yoon, Seong-Min, 2022. "Dynamic risk spillovers from oil to stock markets: Fresh evidence from GARCH copula quantile regression-based CoVaR model," Energy Economics, Elsevier, vol. 115(C).
   21. Song, Huiling & Wang, Chang & Lei, Xiaojie & Zhang, Hongwei, 2022. "Dynamic dependence between main-byproduct metals and the role of clean energy market," Energy Economics, Elsevier, vol. 108(C).
   22. Alper Gormus & Ugur Soytas, 2023. "Financial Sector Troubles and Energy Markets," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 357-363, March.
   23. Deheri, Abdhut & Ramachandran, M., 2023. "Does Indian economy asymmetrically respond to oil price shocks?," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
   24. Lv, Wendai & Qi, Jipeng & Feng, Jing, 2023. "Economic policy uncertainty and environmental governance company volatility: Evidence from China," Research in International Business and Finance, Elsevier, vol. 64(C).
   25. Singh, Amanjot, 2022. "Oil Price uncertainty and labor investment efficiency," Energy Economics, Elsevier, vol. 116(C).
   26. Chen, Zhonglu & Ye, Yong & Li, Xiafei, 2022. "Forecasting China's crude oil futures volatility: New evidence from the MIDAS-RV model and COVID-19 pandemic," Resources Policy, Elsevier, vol. 75(C).
   27. Nafeesa Yunus, 2023. "Co‐movement among oil, stock, bond, and housing markets: An analysis of U.S., Asian, and European economies," International Review of Finance, International Review of Finance Ltd., vol. 23(2), pages 393-436, June.
   28. 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).
   29. David C. Mallinson, 2021. "Assessing Outcome-to-Outcome Interference in Sibling Fixed Effects Models," Papers 2109.13399, arXiv.org, revised Nov 2021.
   30. Su, Yuandong & Liang, Chao & Zhang, Li & Zeng, Qing, 2022. "Uncover the response of the U.S grain commodity market on El Niño–Southern Oscillation," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 98-112.
   31. Tiwari, Aviral Kumar & Sharma, Gagan Deep & Rao, Amar & Hossain, Mohammad Razib & Dev, Dhairya, 2024. "Unraveling the crystal ball: Machine learning models for crude oil and natural gas volatility forecasting," Energy Economics, Elsevier, vol. 134(C).

4. Sunil Paul & Sartaj Rasool Rather & M. Ramachandran, 2017. "Money And Inflation In India: Evidence From P-Star Model," Bulletin of Economic Research, Wiley Blackwell, vol. 69(4), pages 94-111, October.

   Cited by:

   1. Saakshi Jha & Sohini Sahu, 2020. "Forecasting inflation for India with the Phillips Curve: Evidence from internet search data," Economics Bulletin, AccessEcon, vol. 40(3), pages 2372-2379.

5. Sartaj Rasool Rather & Sunil Paul & S. Raja Sethu Durai, 2015. "Inflation forecasting and the distribution of price changes," Economics Bulletin, AccessEcon, vol. 35(1), pages 226-232.
   • Sartaj Rasool Rather & Sunil Paul & S. Raja Sethu Durai, 2015. "Inflation Forecasting and the Distribution of Price Changes," Working Papers 2015-099, Madras School of Economics,Chennai,India.
   See citations under working paper version above.
6. Anand, B. & Paul, Sunil & Ramachandran, M., 2014. "Volatility Spillover between Oil and Stock Market Returns," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 49(1), pages 37-56.
   • B. Anand & Sunil Paul & M. Ramachandran, 2014. "Volatility Spillover between Oil and Stock Market Returns," Working Papers 2014-095, Madras School of Economics,Chennai,India.
   See citations under working paper version above.
7. M.A. Lagesh & Mohammed Kasim C. & Sunil Paul, 2014. "Commodity Futures Indices and Traditional Asset Markets in India: DCC Evidence for Portfolio Diversification Benefits," Global Business Review, International Management Institute, vol. 15(4), pages 777-793, December.

   Cited by:

   1. Ahmed, Abdullahi D. & Huo, Rui, 2021. "Volatility transmissions across international oil market, commodity futures and stock markets: Empirical evidence from China," Energy Economics, Elsevier, vol. 93(C).
   2. Sibanjan Mishra, 2019. "Testing Martingale Hypothesis Using Variance Ratio Tests: Evidence from High-frequency Data of NCDEX Soya Bean Futures," Global Business Review, International Management Institute, vol. 20(6), pages 1407-1422, December.
   3. Shernaz Bodhanwala & Harsh Purohit & Nidhi Choudhary, 2020. "The Causal Dynamics in Indian Agriculture Commodity Prices and Macro-Economic Variables in the Presence of a Structural Break," Global Business Review, International Management Institute, vol. 21(1), pages 241-261, February.
   4. Niu, Hongli & Hu, Ziang, 2021. "Information transmission and entropy-based network between Chinese stock market and commodity futures market," Resources Policy, Elsevier, vol. 74(C).
   5. Monika Chopra & Chhavi Mehta & Aman Srivastava, 2021. "Inflation-Linked Bonds as a Separate Asset Class: Evidence from Emerging and Developed Markets," Global Business Review, International Management Institute, vol. 22(1), pages 219-235, February.
   6. Soni, Rajat Kumar & Nandan, Tanuj, 2022. "Modeling Covid-19 contagious effect between asset markets and commodity futures in India," Resources Policy, Elsevier, vol. 79(C).
   7. Shelly Singhal & Pratap Chandra Biswal, 2021. "Dynamic Commodity Portfolio Management: A Regime-switching VAR Model," Global Business Review, International Management Institute, vol. 22(2), pages 532-549, April.

8. Sunil Paul & M. Ramachandran, 2013. "Do Currency Equivalent Monetary Aggregates Have an Edge over Their Simple Sum Counterparts?," South Asian Journal of Macroeconomics and Public Finance, , vol. 2(2), pages 107-143, December.

   Cited by:

   1. Naveen Srinivasan & Parush Arora, 2020. "If Monetary Aggregates, then Divisia," Working Papers 2020-192, Madras School of Economics,Chennai,India.
   2. Sunil Paul & Sartaj Rasool Rather & M. Ramachandran, 2015. "Money and Inflation: Evidence from P-Star Model," Working Papers 2015-115, Madras School of Economics,Chennai,India.

9. Paul, Sunil & Ramachandran, M., 2011. "Currency equivalent monetary aggregates as leading indicators of inflation," Economic Modelling, Elsevier, vol. 28(4), pages 2041-2048, July.

   Cited by:

   1. Naveen Srinivasan & Parush Arora, 2020. "If Monetary Aggregates, then Divisia," Working Papers 2020-192, Madras School of Economics,Chennai,India.
   2. Antonella Cavallo & Antonio Ribba, 2012. "Euro area inflation as a predictor of national inflation rates," Center for Economic Research (RECent) 082, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
      • Cavallo, Antonella & Ribba, Antonio, 2014. "Euro area inflation as a predictor of national inflation rates," Journal of Policy Modeling, Elsevier, vol. 36(6), pages 1048-1065.
      • Antonella Cavallo & Antonio Ribba, 2013. "Euro area Inflation as a Predictor of National Inflation Rates," Department of Economics (DEMB) 0022, University of Modena and Reggio Emilia, Department of Economics "Marco Biagi".
   3. Ghosh, Taniya & Bhadury, Soumya Suvra, 2018. "Has Money Lost Its Relevance? Resolving the Exchange Rate Disconnect Puzzle," MPRA Paper 90627, University Library of Munich, Germany.
   4. Sunil Paul & Sartaj Rasool Rather & M. Ramachandran, 2015. "Money and Inflation: Evidence from P-Star Model," Working Papers 2015-115, Madras School of Economics,Chennai,India.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-MAC: Macroeconomics (3) 2015-04-25 2015-04-25 2016-12-11
2. NEP-FOR: Forecasting (2) 2015-04-25 2016-12-11
3. NEP-CBA: Central Banking (1) 2015-04-25
4. NEP-ENE: Energy Economics (1) 2015-04-25
5. NEP-MON: Monetary Economics (1) 2016-12-11

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