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Anoop S Kumar

Personal Details

First Name:Anoop
Middle Name:
Last Name:S Kumar
Suffix:
RePEc Short-ID:psa1027
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Affiliation

Gulati Institute of Finance and Taxation

Thiruvananthapuram, India
https://www.gift.res.in/
RePEc:edi:gifttin (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters Books

Working papers

  1. Sasikumar, Anoop, 2011. "Testing for weak form market efficiency in Indian foreign exchange market," MPRA Paper 37071, University Library of Munich, Germany.

Articles

  1. Anoop S. Kumar & Balaga Mohana Rao, 2023. "Are non‐fungible token coins a good hedge against the stock market volatility?," Australian Economic Papers, Wiley Blackwell, vol. 62(4), pages 764-772, December.
  2. Kumar, Anoop S & Padakandla, Steven Raj, 2023. "Do NFTs act as a good hedge and safe haven against Cryptocurrency fluctuations?," Finance Research Letters, Elsevier, vol. 56(C).
  3. Suvvari ANANDARAO & Balaga Mohana RAO & Anoop S KUMAR, 2023. "An enquiry into extreme price movements of the cryptocurrencies in the backdrop of COVID-19," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(2(635), S), pages 231-238, Summer.
  4. Kundan Kumar & Rajendra Narayan Paramanik & Anoop S. Kumar, 2023. "Nexus among Indian business cycle–financial cycle and Policy Uncertainty Index," SN Business & Economics, Springer, vol. 3(12), pages 1-19, December.
  5. Shashi Bhushan & Anoop Kumar, 2022. "Correction to: Novel Log Type Class of Estimators Under Ranked Set Sampling," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(1), pages 448-448, May.
  6. Kumar, Anoop S & Padakandla, Steven Raj, 2022. "Testing the safe-haven properties of gold and bitcoin in the backdrop of COVID-19: A wavelet quantile correlation approach," Finance Research Letters, Elsevier, vol. 47(PB).
  7. Anoop S Kumar, 2020. "Testing Safe Haven Property of Bitcoin and Gold during Covid-19 : Evidence from Multivariate GARCH analysis," Economics Bulletin, AccessEcon, vol. 40(3), pages 2005-2015.
  8. Kumar, Anoop S. & Anandarao, S., 2019. "Volatility spillover in crypto-currency markets: Some evidences from GARCH and wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 448-458.
  9. Anoop S Kumar & Taufeeq Ajaz, 2019. "Co-movement in crypto-currency markets: evidences from wavelet analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-17, December.
  10. Anoop S. Kumar & P. Yazir & G. G. Gopika, 2019. "Consumption Inequality In India After Liberalization: A Caste Based Assessment," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(01), pages 139-155, March.
  11. Geeta Duppati & Frank Scrimgeour & Anoop S. Kumar, 2019. "Country-level Governance and Capital Markets in Asia-Pacific Region," Indian Journal of Corporate Governance, , vol. 12(2), pages 187-212, December.
  12. Taufeeq Ajaz & Anoop S. Kumar, 2018. "Herding In Crypto-Currency Markets," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-15, June.
  13. Anoop S Kumar & B Kamaiah, 2017. "Returns And Volatility Spillover Between Asian Equity Markets: A Wavelet Approach," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 62(212), pages 63-84, January -.
  14. Geeta Duppati & Anoop S. Kumar & Frank Scrimgeour & Leon Li, 2017. "Long memory volatility in Asian stock markets," Pacific Accounting Review, Emerald Group Publishing Limited, vol. 29(3), pages 423-442, August.
  15. Anoop S. Kumar & Chaithanya Jayakumar & Bandi Kamaiah, 2017. "Fractal market hypothesis: evidence for nine Asian forex markets," Indian Economic Review, Springer, vol. 52(1), pages 181-192, December.
  16. Anoop S. KUMAR & Bandi KAMAIAH, 2016. "Efficiency, non-linearity and chaos: evidences from BRICS foreign exchange markets," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(606), S), pages 103-118, Spring.
  17. S. Anoop Kumar & B. Kamaiah, 2014. "On Chaotic Nature of the Emerging European Forex Markets," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 17(53), pages 25-40, September.
  18. Anoop S. Kumar, 2014. "Testing For Long Memory In Volatility In The Indian Forex Market," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 59(203), pages 75-90, October –.
  19. S. Anoop Kumar & Bandi Kamaiah, 2014. "Efficient Market Hypothesis: Some Evidences from Emerging European Forex Markets," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 17(52), pages 27-44, June.
  20. Anoop S. KUMAR & B. KAMAIAH, 2014. "Wavelet based sample entropy analysis: A new method to test weak form market efficiency," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(8(597)), pages 17-24, August.
  21. Anoop S Kumar, 2011. "Testing for Weak Form of Market Efficiency in Indian Foreign Exchange Market," The IUP Journal of Monetary Economics, IUP Publications, vol. 0(3), pages 7-19, August.

Chapters

  1. Anoop S. Kumar & Taufeeq Ajaz, 2022. "Determinants of Bitcoin Price: Evidence from Asymmetrical Analysis," India Studies in Business and Economics, in: Naoyuki Yoshino & Rajendra N. Paramanik & Anoop S. Kumar (ed.), Studies in International Economics and Finance, pages 557-569, Springer.
  2. Anoop S. Kumar & P Yazir, 2017. "An Inquiry into the Dynamics of Inequality from the Perspective of Caste," India Studies in Business and Economics, in: Utpal Kumar De & Manoranjan Pal & Premananda Bharati (ed.), Inequality, Poverty and Development in India, chapter 0, pages 81-95, Springer.

Books

  1. Naoyuki Yoshino & Rajendra N. Paramanik & Anoop S. Kumar (ed.), 2022. "Studies in International Economics and Finance," India Studies in Business and Economics, Springer, number 978-981-16-7062-6, June.

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. Sasikumar, Anoop, 2011. "Testing for weak form market efficiency in Indian foreign exchange market," MPRA Paper 37071, University Library of Munich, Germany.

    Cited by:

    1. Anoop S. KUMAR & Bandi KAMAIAH, 2016. "Efficiency, non-linearity and chaos: evidences from BRICS foreign exchange markets," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(606), S), pages 103-118, Spring.
    2. Anoop S. Kumar, 2014. "Testing For Long Memory In Volatility In The Indian Forex Market," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 59(203), pages 75-90, October –.
    3. Sushil Bajaj & Naman Sethi, 2016. "An Empirical Analysis of Behaviour of Stock Market Indices," Paradigm, , vol. 20(2), pages 216-235, December.
    4. Adeyeye Patrick Olufemi & Aluko Olufemi Adewale & Migiro Stephen Oseko, 2017. "Efficiency of Foreign Exchange Markets in Sub-Saharan Africa in the Presence of Structural Break: A Linear and Non-Linear Testing Approach," Journal of Economics and Behavioral Studies, AMH International, vol. 9(4), pages 122-131.

Articles

  1. Shashi Bhushan & Anoop Kumar, 2022. "Correction to: Novel Log Type Class of Estimators Under Ranked Set Sampling," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(1), pages 448-448, May.

    Cited by:

    1. Shashi Bhushan & Anoop Kumar & Sana Shahab & Showkat Ahmad Lone & Salemah A. Almutlak, 2022. "Modified Class of Estimators Using Ranked Set Sampling," Mathematics, MDPI, vol. 10(21), pages 1-13, October.
    2. Shashi Bhushan & Anoop Kumar & Usman Shahzad & Amer Ibrahim Al-Omari & Ibrahim Mufrah Almanjahie, 2022. "On Some Improved Class of Estimators by Using Stratified Ranked Set Sampling," Mathematics, MDPI, vol. 10(18), pages 1-32, September.

  2. Kumar, Anoop S & Padakandla, Steven Raj, 2022. "Testing the safe-haven properties of gold and bitcoin in the backdrop of COVID-19: A wavelet quantile correlation approach," Finance Research Letters, Elsevier, vol. 47(PB).

    Cited by:

    1. Syuhada, Khreshna & Hakim, Arief & Suprijanto, Djoko & Muchtadi-Alamsyah, Intan & Arbi, Lukman, 2022. "Is Tether a safe haven of safe haven amid COVID-19? An assessment against Bitcoin and oil using improved measures of risk," Resources Policy, Elsevier, vol. 79(C).
    2. Enilov, Martin & Mensi, Walid & Stankov, Petar, 2023. "Does safe haven exist? Tail risks of commodity markets during COVID-19 pandemic," Journal of Commodity Markets, Elsevier, vol. 29(C).
    3. Anoop S. Kumar & Balaga Mohana Rao, 2023. "Are non‐fungible token coins a good hedge against the stock market volatility?," Australian Economic Papers, Wiley Blackwell, vol. 62(4), pages 764-772, December.
    4. Meng-Shiuh Chang & Meng-Wei Chen & Peijie Ju, 2023. "Asymmetry in Hedges, Safe Havens, Flights and Contagion: Unconditional Quantile Regression Approach," SAGE Open, , vol. 13(4), pages 21582440231, November.
    5. Chishti, Muhammad Zubair & Sinha, Avik & Zaman, Umer & Shahzad, Umer, 2023. "Exploring the dynamic connectedness among energy transition and its drivers: Understanding the moderating role of global geopolitical risk," Energy Economics, Elsevier, vol. 119(C).
    6. Xu, Lei & Kinkyo, Takuji, 2023. "Hedging effectiveness of bitcoin and gold: Evidence from G7 stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    7. Okoroafor, Ugochi C. & Leirvik, Thomas, 2023. "Time-varying market efficiency of safe-haven assets," Finance Research Letters, Elsevier, vol. 56(C).
    8. Jalal, Rubia & Gopinathan, R., 2023. "Time-frequency relationship between energy imports, energy prices, exchange rate, and policy uncertainties in India: Evidence from wavelet quantile correlation approach," Finance Research Letters, Elsevier, vol. 55(PB).
    9. Muhammad Zubair Chishti & Hafiz Syed Muhammad Azeem & Muhammad Kamran Khan, 2023. "Asymmetric nexus between commercial policies and consumption-based carbon emissions: new evidence from Pakistan," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-24, December.
    10. Kumar, Anoop S & Padakandla, Steven Raj, 2023. "Do NFTs act as a good hedge and safe haven against Cryptocurrency fluctuations?," Finance Research Letters, Elsevier, vol. 56(C).
    11. Anwer, Zaheer & Farid, Saqib & Khan, Ashraf & Benlagha, Noureddine, 2023. "Cryptocurrencies versus environmentally sustainable assets: Does a perfect hedge exist?," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 418-431.
    12. Chortane, Sana Gaied & Pandey, Dharen Kumar, 2022. "Does the Russia-Ukraine war lead to currency asymmetries? A US dollar tale," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    13. 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.
    14. Mariem Gaies & Walid Chkili, 2023. "Dynamic correlation and hedging strategy between Bitcoin prices and stock market during the Russo-Ukrainian war," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(2), pages 307-319, June.
    15. Liu, Min & Lee, Chien-Chiang, 2022. "Is gold a long-run hedge, diversifier, or safe haven for oil? Empirical evidence based on DCC-MIDAS," Resources Policy, Elsevier, vol. 76(C).
    16. Ming, Lei & Yang, Ping & Tian, Xinyi & Yang, Shenggang & Dong, Minyi, 2023. "Safe haven for crude oil: Gold or currencies?," Finance Research Letters, Elsevier, vol. 54(C).

  3. Anoop S Kumar, 2020. "Testing Safe Haven Property of Bitcoin and Gold during Covid-19 : Evidence from Multivariate GARCH analysis," Economics Bulletin, AccessEcon, vol. 40(3), pages 2005-2015.

    Cited by:

    1. Sruthy Madhavan & S. Sreejith, 2022. "A Comparative Analysis on the Role and Market Linkages of Gold Backed Assets During COVID-19 Pandemic," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 69(3), pages 417-433, August.
    2. Alhonita Yatie, 2022. "Crypto-assets better safe-havens than Gold during Covid-19: The case of European indices," Working Papers hal-03579957, HAL.
    3. Wasiuzzaman, Shaista & Haji Abdul Rahman, Hajah Siti Wardah, 2021. "Performance of gold-backed cryptocurrencies during the COVID-19 crisis," Finance Research Letters, Elsevier, vol. 43(C).
    4. Ihsan Erdem Kayral & Ahmed Jeribi & Sahar Loukil, 2023. "Are Bitcoin and Gold a Safe Haven during COVID-19 and the 2022 Russia–Ukraine War?," JRFM, MDPI, vol. 16(4), pages 1-22, April.
    5. Zaghum Umar & Saqib Aziz & Dima Tawil, 2021. "The impact of COVID-19 induced panic on the return and volatility of precious metals," Post-Print hal-03330197, HAL.
    6. Tuna, Gülfen & Tuna, Vedat Ender, 2022. "Are effects of COVID-19 pandemic on financial markets permanent or temporary? Evidence from gold, oil and stock markets," Resources Policy, Elsevier, vol. 76(C).
    7. Lahiani, Amine & Mefteh-Wali, Salma & Vasbieva, Dinara G., 2021. "The safe-haven property of precious metal commodities in the COVID-19 era," Resources Policy, Elsevier, vol. 74(C).
    8. 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).
    9. Alhonita Yatie, 2022. "Crypto-assets better safe-havens than Gold during Covid-19: The case of European indices," Papers 2202.10760, arXiv.org.
    10. Mustafa Özer & Serap Kamisli & Fatih Temizel & Melik Kamisli, 2022. "Are COVID-19-Related Economic Supports One of the Drivers of Surge in Bitcoin Market? Evidence from Linear and Non-Linear Causality Tests," Mathematics, MDPI, vol. 11(1), pages 1-24, December.
    11. Umar, Zaghum & Aziz, Saqib & Tawil, Dima, 2021. "The impact of COVID-19 induced panic on the return and volatility of precious metals," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
    12. Chkili, Walid & Ben Rejeb, Aymen & Arfaoui, Mongi, 2021. "Does bitcoin provide hedge to Islamic stock markets for pre- and during COVID-19 outbreak? A comparative analysis with gold," Resources Policy, Elsevier, vol. 74(C).

  4. Kumar, Anoop S. & Anandarao, S., 2019. "Volatility spillover in crypto-currency markets: Some evidences from GARCH and wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 448-458.

    Cited by:

    1. OlaOluwa S. Yaya & Ahamuefula E. Ogbonna & Robert Mudida & Nuruddeen Abu, 2021. "Market efficiency and volatility persistence of cryptocurrency during pre‐ and post‐crash periods of Bitcoin: Evidence based on fractional integration," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1318-1335, January.
    2. Lee A. Smales, 2021. "Volatility Spillovers among Cryptocurrencies," JRFM, MDPI, vol. 14(10), pages 1-12, October.
    3. Hasan, Mohammad Maruf & Du, Fang, 2023. "The role of foreign trade and technology innovation on economic recovery in China: The mediating role of natural resources development," Resources Policy, Elsevier, vol. 80(C).
    4. Chuffart, Thomas, 2022. "Interest in cryptocurrencies predicts conditional correlation dynamics," Finance Research Letters, Elsevier, vol. 46(PA).
    5. Akan, Taner, 2023. "Explaining and modeling the mediating role of energy consumption between financial development and carbon emissions," Energy, Elsevier, vol. 274(C).
    6. Salisu, Afees A. & Ogbonna, Ahamuefula E., 2022. "The return volatility of cryptocurrencies during the COVID-19 pandemic: Assessing the news effect," Global Finance Journal, Elsevier, vol. 54(C).
    7. Alessandra Cretarola & Gianna Figà-Talamanca & Cyril Grunspan, 2021. "Blockchain and cryptocurrencies: economic and financial research," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 781-787, December.
    8. Foroutan, Parisa & Lahmiri, Salim, 2022. "The effect of COVID-19 pandemic on return-volume and return-volatility relationships in cryptocurrency markets," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    9. Wu, Gabriel Shui Tang & Leung, Pak Ho, 2023. "Do asset-backed stablecoins spread crypto volatility to traditional financial assets? Evidence from Tether," Economics Letters, Elsevier, vol. 229(C).
    10. Ha, Le Thanh & Nham, Nguyen Thi Hong, 2022. "An application of a TVP-VAR extended joint connected approach to explore connectedness between WTI crude oil, gold, stock and cryptocurrencies during the COVID-19 health crisis," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    11. Mensi, Walid & El Khoury, Rim & Ali, Syed Riaz Mahmood & Vo, Xuan Vinh & Kang, Sang Hoon, 2023. "Quantile dependencies and connectedness between the gold and cryptocurrency markets: Effects of the COVID-19 crisis," Research in International Business and Finance, Elsevier, vol. 65(C).
    12. Figà-Talamanca, Gianna & Focardi, Sergio & Patacca, Marco, 2021. "Regime switches and commonalities of the cryptocurrencies asset class," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    13. Helder Miguel Correia Virtuoso Sebastião & Paulo José Osório Rupino Da Cunha & Pedro Manuel Cortesão Godinho, 2021. "Cryptocurrencies and blockchain. Overview and future perspectives," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 21(3), pages 305-342.
    14. González, Maria de la O. & Jareño, Francisco & Skinner, Frank S., 2021. "Asymmetric interdependencies between large capital cryptocurrency and Gold returns during the COVID-19 pandemic crisis," International Review of Financial Analysis, Elsevier, vol. 76(C).
    15. Esparcia, Carlos & Jareño, Francisco & Umar, Zaghum, 2022. "Revisiting the safe haven role of Gold across time and frequencies during the COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    16. Balcilar, Mehmet & Ozdemir, Huseyin & Agan, Busra, 2022. "Effects of COVID-19 on cryptocurrency and emerging market connectedness: Empirical evidence from quantile, frequency, and lasso networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    17. Ángeles Cebrián-Hernández & Enrique Jiménez-Rodríguez, 2021. "Modeling of the Bitcoin Volatility through Key Financial Environment Variables: An Application of Conditional Correlation MGARCH Models," Mathematics, MDPI, vol. 9(3), pages 1-16, January.
    18. Qiao, Xingzhi & Zhu, Huiming & Hau, Liya, 2020. "Time-frequency co-movement of cryptocurrency return and volatility: Evidence from wavelet coherence analysis," International Review of Financial Analysis, Elsevier, vol. 71(C).
    19. Yousaf, Imran & Jareño, Francisco & Tolentino, Marta, 2023. "Connectedness between Defi assets and equity markets during COVID-19: A sector analysis," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    20. Vladimir Balash & Alexey Faizliev & Sergei Sidorov & Elena Chistopolskaya, 2021. "Conditional Time-Varying General Dynamic Factor Models and Its Application to the Measurement of Volatility Spillovers across Russian Assets," Mathematics, MDPI, vol. 9(19), pages 1-31, October.
    21. D’Amato, Valeria & Levantesi, Susanna & Piscopo, Gabriella, 2022. "Deep learning in predicting cryptocurrency volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    22. Bouri, Elie & Kamal, Elham & Kinateder, Harald, 2023. "FTX Collapse and systemic risk spillovers from FTX Token to major cryptocurrencies," Finance Research Letters, Elsevier, vol. 56(C).
    23. Umar, Zaghum & Jareño, Francisco & González, María de la O, 2021. "The impact of COVID-19-related media coverage on the return and volatility connectedness of cryptocurrencies and fiat currencies," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    24. Akan, Taner & Gündüz, Halil İbrahim & Emirmahmutoğlu, Furkan & Işık, Ali Haydar, 2023. "Disaggregating renewable energy-growth nexus: W-ARDL and W-Toda-Yamamoto approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    25. Al-Shboul, Mohammad & Assaf, Ata & Mokni, Khaled, 2023. "Does economic policy uncertainty drive the dynamic spillover among traditional currencies and cryptocurrencies? The role of the COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 64(C).
    26. Arpaci, Ibrahim, 2023. "Predictors of financial sustainability for cryptocurrencies: An empirical study using a hybrid SEM-ANN approach," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    27. Jyothi Chittineni, 2022. "A Study on Cryptocurrency Investors Purchase Intentions: Revisiting the Brand Personality Theory," International Journal of Economics and Financial Issues, Econjournals, vol. 12(4), pages 28-33, July.
    28. Jiang, Wen & Xu, Qiuhua & Zhang, Ruige, 2022. "Tail-event driven network of cryptocurrencies and conventional assets," Finance Research Letters, Elsevier, vol. 46(PB).
    29. Jean-Guillaume Dumas & Sonia Jimenez-Garces & Florentina Șoiman, 2021. "Blockchain technology and the crypto-market’s risks: A literature survey," Post-Print hal-03112920, HAL.
    30. Vincenzo Candila, 2021. "Multivariate Analysis of Cryptocurrencies," Econometrics, MDPI, vol. 9(3), pages 1-17, July.
    31. Jinxin Cui & Aktham Maghyereh, 2022. "Time–frequency co-movement and risk connectedness among cryptocurrencies: new evidence from the higher-order moments before and during the COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-56, December.
    32. Akan, Taner, 2023. "Can renewable energy mitigate the impacts of inflation and policy interest on climate change?," Renewable Energy, Elsevier, vol. 214(C), pages 255-289.
    33. Sercan Demiralay & Selçuk Bayracı, 2021. "Should stock investors include cryptocurrencies in their portfolios after all? Evidence from a conditional diversification benefits measure," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 6188-6204, October.
    34. Zeng, Ting & Yang, Mengying & Shen, Yifan, 2020. "Fancy Bitcoin and conventional financial assets: Measuring market integration based on connectedness networks," Economic Modelling, Elsevier, vol. 90(C), pages 209-220.
    35. Grobys, Klaus & Junttila, Juha & Kolari, James W. & Sapkota, Niranjan, 2021. "On the stability of stablecoins," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 207-223.
    36. Nikolaos A. Kyriazis, 2019. "A Survey on Empirical Findings about Spillovers in Cryptocurrency Markets," JRFM, MDPI, vol. 12(4), pages 1-17, November.
    37. Achraf Ghorbel & Ahmed Jeribi, 2021. "Investigating the relationship between volatilities of cryptocurrencies and other financial assets," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 817-843, December.
    38. Li, Ying & Mehmood, Nasir & Iqbal, Nadeem, 2022. "Natural resource abundance and financial development: A case study of emerging (E−15) economies," Resources Policy, Elsevier, vol. 79(C).
    39. Lennart Ante, 2022. "The Non-Fungible Token (NFT) Market and Its Relationship with Bitcoin and Ethereum," FinTech, MDPI, vol. 1(3), pages 1-9, June.
    40. Lee, Chien-Chiang & Zhou, Hegang & Xu, Chao & Zhang, Xiaoming, 2023. "Dynamic spillover effects among international crude oil markets from the time-frequency perspective," Resources Policy, Elsevier, vol. 80(C).
    41. Nick James & Max Menzies, 2021. "Collective correlations, dynamics, and behavioural inconsistencies of the cryptocurrency market over time," Papers 2107.13926, arXiv.org, revised Dec 2021.
    42. Roy, Archi & Soni, Anchal & Deb, Soudeep, 2023. "A wavelet-based methodology to compare the impact of pandemic versus Russia–Ukraine conflict on crude oil sector and its interconnectedness with other energy and non-energy markets," Energy Economics, Elsevier, vol. 124(C).
    43. Asima Siddique & Ghulam Mujtaba Kayani & Saira Ashfaq, 2021. "Does Heterogeneity in COVID-19 News Affect Asset Market? Monte-Carlo Simulation Based Wavelet Transform," JRFM, MDPI, vol. 14(10), pages 1-16, October.
    44. Wei Sun & Alisher Tohirovich Dedahanov & Ho Young Shin & Ki Su Kim, 2020. "Switching intention to crypto-currency market: Factors predisposing some individuals to risky investment," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-16, June.
    45. Sun, Qingru & Gao, Xiangyun & An, Haizhong & Guo, Sui & Liu, Xueyong & Wang, Ze, 2021. "Which time-frequency domain dominates spillover in the Chinese energy stock market?," International Review of Financial Analysis, Elsevier, vol. 73(C).
    46. Choi, Sun-Yong, 2022. "Credit risk interdependence in global financial markets: Evidence from three regions using multiple and partial wavelet approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    47. Nikolaos A. Kyriazis, 2021. "A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets," JRFM, MDPI, vol. 14(7), pages 1-46, June.
    48. Maurice Omane-Adjepong & Imhotep Paul Alagidede, 2020. "Dynamic Linkages and Economic Role of Leading Cryptocurrencies in an Emerging Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(4), pages 537-585, December.
    49. Umar, Zaghum & Polat, Onur & Choi, Sun-Yong & Teplova, Tamara, 2022. "Dynamic connectedness between non-fungible tokens, decentralized finance, and conventional financial assets in a time-frequency framework," Pacific-Basin Finance Journal, Elsevier, vol. 76(C).
    50. Sun, Wei & Dedahanov, Alisher Tohirovich & Shin, Ho Young & Li, Wei Ping, 2021. "Factors affecting institutional investors to add crypto-currency to asset portfolios," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    51. Demiralay, Sercan & Golitsis, Petros, 2021. "On the dynamic equicorrelations in cryptocurrency market," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 524-533.
    52. Jareño, Francisco & González, María de la O. & López, Raquel & Ramos, Ana Rosa, 2021. "Cryptocurrencies and oil price shocks: A NARDL analysis in the COVID-19 pandemic," Resources Policy, Elsevier, vol. 74(C).
    53. Aiman Hairudin & Imtiaz Mohammad Sifat & Azhar Mohamad & Yusniliyana Yusof, 2022. "Cryptocurrencies: A survey on acceptance, governance and market dynamics," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4633-4659, October.
    54. Onur Özdemir, 2022. "Cue the volatility spillover in the cryptocurrency markets during the COVID-19 pandemic: evidence from DCC-GARCH and wavelet analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-38, December.

  5. Anoop S Kumar & Taufeeq Ajaz, 2019. "Co-movement in crypto-currency markets: evidences from wavelet analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-17, December.

    Cited by:

    1. Kingstone Nyakurukwa & Yudhvir Seetharam, 2023. "Higher moment connectedness of cryptocurrencies: a time-frequency approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(3), pages 793-814, September.
    2. Liu, Chang & Sun, Xiaolei & Wang, Jun & Li, Jianping & Chen, Jianming, 2021. "Multiscale information transmission between commodity markets: An EMD-Based transfer entropy network," Research in International Business and Finance, Elsevier, vol. 55(C).
    3. Rodrigo Hakim das Neves, 2020. "Bitcoin pricing: impact of attractiveness variables," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-18, December.
    4. María de la O González & Francisco Jareño & Frank S. Skinner, 2020. "Nonlinear Autoregressive Distributed Lag Approach: An Application on the Connectedness between Bitcoin Returns and the Other Ten Most Relevant Cryptocurrency Returns," Mathematics, MDPI, vol. 8(5), pages 1-22, May.
    5. 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.
    6. Akan, Taner, 2023. "Explaining and modeling the mediating role of energy consumption between financial development and carbon emissions," Energy, Elsevier, vol. 274(C).
    7. Yousaf, Imran & Jareño, Francisco & Tolentino, Marta, 2023. "Connectedness between Defi assets and equity markets during COVID-19: A sector analysis," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    8. Umar, Zaghum & Jareño, Francisco & González, María de la O, 2021. "The impact of COVID-19-related media coverage on the return and volatility connectedness of cryptocurrencies and fiat currencies," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    9. Arpaci, Ibrahim, 2023. "Predictors of financial sustainability for cryptocurrencies: An empirical study using a hybrid SEM-ANN approach," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    10. Pasquale De Rosa & Valerio Schiavoni, 2022. "Understanding Cryptocoins Trends Correlations," Papers 2212.01267, arXiv.org.
    11. Disli, Mustafa & Abd Rabbo, Fatima & Leneeuw, Thibault & Nagayev, Ruslan, 2022. "Cryptocurrency comovements and crypto exchange movement: The relocation of Binance," Finance Research Letters, Elsevier, vol. 48(C).
    12. Feifei Jin & Lidan Pei & Huayou Chen & Reza Langari & Jinpei Liu, 2019. "A Novel Decision-Making Model with Pythagorean Fuzzy Linguistic Information Measures and Its Application to a Sustainable Blockchain Product Assessment Problem," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    13. Costantini, Mauro & Maaitah, Ahmad & Mishra, Tapas & Sousa, Ricardo M., 2023. "Bitcoin market networks and cyberattacks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    14. Yu Song & Bo Chen & Xin-Yi Wang, 2023. "Cryptocurrency technology revolution: are Bitcoin prices and terrorist attacks related?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-20, December.
    15. Su, Hui & Zhou, Na & Wu, Qiaosheng & Bi, Zhiwei & Wang, Yuli, 2023. "Investigating price fluctuations in copper futures: Based on EEMD and Markov-switching VAR model," Resources Policy, Elsevier, vol. 82(C).
    16. Maurice Omane-Adjepong & Imhotep Paul Alagidede, 2020. "Dynamic Linkages and Economic Role of Leading Cryptocurrencies in an Emerging Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(4), pages 537-585, December.
    17. Ante, Lennart & Fiedler, Ingo & Strehle, Elias, 2021. "The impact of transparent money flows: Effects of stablecoin transfers on the returns and trading volume of Bitcoin," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    18. Chowdhury, Md Shahedur R. & Damianov, Damian S. & Elsayed, Ahmed H., 2022. "Bubbles and crashes in cryptocurrencies: Interdependence, contagion, or asset rotation?," Finance Research Letters, Elsevier, vol. 46(PB).
    19. Robiyanto Robiyanto & Budi Frensidy & Ignatius Roni Setyawan & Andrian Dolfriandra Huruta, 2021. "A Different View on ASEAN Capital Market Integration," Economies, MDPI, vol. 9(4), pages 1-9, October.
    20. Jareño, Francisco & González, María de la O. & López, Raquel & Ramos, Ana Rosa, 2021. "Cryptocurrencies and oil price shocks: A NARDL analysis in the COVID-19 pandemic," Resources Policy, Elsevier, vol. 74(C).
    21. Onur Özdemir, 2022. "Cue the volatility spillover in the cryptocurrency markets during the COVID-19 pandemic: evidence from DCC-GARCH and wavelet analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-38, December.

  6. Anoop S. Kumar & P. Yazir & G. G. Gopika, 2019. "Consumption Inequality In India After Liberalization: A Caste Based Assessment," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(01), pages 139-155, March.

    Cited by:

    1. Kumar, Rishabh & Balasubramanian, Sriram & Loungani, Prakash, 2022. "Inequality and locational determinants of the distribution of living standards in India," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 59-69.

  7. Taufeeq Ajaz & Anoop S. Kumar, 2018. "Herding In Crypto-Currency Markets," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-15, June.

    Cited by:

    1. Kreppmeier, Julia & Laschinger, Ralf & Steininger, Bertram I. & Dorfleitner, Gregor, 2023. "Real estate security token offerings and the secondary market: Driven by crypto hype or fundamentals?," Journal of Banking & Finance, Elsevier, vol. 154(C).
    2. Kreppmeier, Julia & Laschinger, Ralf & Steininger, Bertram & Dorfleitner, Gregor, 2023. "Real Estate Security Token Offerings and the Secondary Market: Driven by Crypto Hype or Fundamentals?," Working Paper Series 23/6, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    3. Reganti Lavanya & Rajesh Mamilla, 2023. "Bibliometric Characteristics of Cryptocurrency through Citation Network Analysis," Advances in Decision Sciences, Asia University, Taiwan, vol. 27(2), pages 46-74, June.
    4. Tai-Yuen Hon & Massoud Moslehpour & Kai-Yin Woo, 2021. "Review on Behavioral Finance with Empirical Evidence," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 15-41, December.
    5. Kumar, Anoop S. & Anandarao, S., 2019. "Volatility spillover in crypto-currency markets: Some evidences from GARCH and wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 448-458.
    6. Lahmiri, Salim & Bekiros, Stelios, 2019. "Cryptocurrency forecasting with deep learning chaotic neural networks," Chaos, Solitons & Fractals, Elsevier, vol. 118(C), pages 35-40.
    7. Zhao, Yuan & Liu, Nan & Li, Wanpeng, 2022. "Industry herding in crypto assets," International Review of Financial Analysis, Elsevier, vol. 84(C).
    8. Rubbaniy, Ghulame & Tee, Kienpin & Iren, Perihan & Abdennadher, Sonia, 2022. "Investors’ mood and herd investing: A quantile-on-quantile regression explanation from crypto market," Finance Research Letters, Elsevier, vol. 47(PA).
    9. Coskun, Esra Alp & Lau, Chi Keung Marco & Kahyaoglu, Hakan, 2020. "Uncertainty and herding behavior: evidence from cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 54(C).
    10. Anam Yasir & Umar Safdar & Yasir Javaid, 2022. "Herd behaviour in foreign exchange market," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 11(1), pages 1-12, December.

  8. Anoop S Kumar & B Kamaiah, 2017. "Returns And Volatility Spillover Between Asian Equity Markets: A Wavelet Approach," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 62(212), pages 63-84, January -.

    Cited by:

    1. Abhibasu Sen & Prof. Karabi Dutta Chaudhury, 2019. "On the Co-movement of Crude, Gold Prices and Stock Index in Indian Market," Papers 1904.05317, arXiv.org.
    2. Shu-Ling Lin & Jun Lu, 2019. "Institutional Investors and Corporate Performance: Insights from China," Sustainability, MDPI, vol. 11(21), pages 1-26, October.

  9. Anoop S. Kumar & Chaithanya Jayakumar & Bandi Kamaiah, 2017. "Fractal market hypothesis: evidence for nine Asian forex markets," Indian Economic Review, Springer, vol. 52(1), pages 181-192, December.

    Cited by:

    1. María del Carmen Valls Martínez & Pedro Antonio Martín Cervantes, 2021. "Testing the Resilience of CSR Stocks during the COVID-19 Crisis: A Transcontinental Analysis," Mathematics, MDPI, vol. 9(5), pages 1-24, March.
    2. Emrah BALKAN & Umut UYAR, 2022. "The Fractal Structure of CDS Spreads: Evidence from the OECD Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 106-121, April.

  10. Anoop S. KUMAR & Bandi KAMAIAH, 2016. "Efficiency, non-linearity and chaos: evidences from BRICS foreign exchange markets," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(606), S), pages 103-118, Spring.

    Cited by:

    1. Vasilios Plakandaras & Rangan Gupta & Luis A. Gil-Alana & Mark E. Wohar, 2018. "Are BRICS Exchange Rates Chaotic?," Working Papers 201822, University of Pretoria, Department of Economics.
    2. Goodness C. Aye & Rangan Gupta & Chi Keung Marco Lau & Xin Sheng, 2018. "Is There a Role for Uncertainty in Forecasting Output Growth in OECD Countries? Evidence from a Time Varying Parameter-Panel Vector Autoregressive Model," Working Papers 201823, University of Pretoria, Department of Economics.
    3. Marinakis, Yorgos D. & White, Reilly & Walsh, Steven T., 2020. "Lotka–Volterra signals in ASEAN currency exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    4. Rangan Gupta & Vasilios Plakandaras, 2018. "Efficiency in BRICS Currency Markets using Long-Spans of Data: Evidence from Model-Free Tests of Directional Predictability," Working Papers 201836, University of Pretoria, Department of Economics.
    5. Nils Bundi & Marc Wildi, 2019. "Bitcoin and market-(in)efficiency: a systematic time series approach," Digital Finance, Springer, vol. 1(1), pages 47-65, November.

  11. S. Anoop Kumar & B. Kamaiah, 2014. "On Chaotic Nature of the Emerging European Forex Markets," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 17(53), pages 25-40, September.

    Cited by:

    1. Ngo Thai Hung, 2021. "Volatility Behaviour of the Foreign Exchange Rate and Transmission Among Central and Eastern European Countries: Evidence from the EGARCH Model," Global Business Review, International Management Institute, vol. 22(1), pages 36-56, February.
    2. Ngo Thai Hung, 2020. "Market integration among foreign exchange rate movements in central and eastern European countries," Society and Economy, Akadémiai Kiadó, Hungary, vol. 42(1), pages 1-20, March.

  12. Anoop S. Kumar, 2014. "Testing For Long Memory In Volatility In The Indian Forex Market," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 59(203), pages 75-90, October –.

    Cited by:

    1. Dilip Kumar & S. Maheswaran, 2015. "Long memory in Indian exchange rates: an application of power-law scaling analysis," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 8(1-2), pages 90-107, July.

  13. S. Anoop Kumar & Bandi Kamaiah, 2014. "Efficient Market Hypothesis: Some Evidences from Emerging European Forex Markets," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 17(52), pages 27-44, June.

    Cited by:

    1. S. Anoop Kumar & B. Kamaiah, 2014. "On Chaotic Nature of the Emerging European Forex Markets," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 17(53), pages 25-40, September.

  14. Anoop S. KUMAR & B. KAMAIAH, 2014. "Wavelet based sample entropy analysis: A new method to test weak form market efficiency," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(8(597)), pages 17-24, August.

    Cited by:

    1. Oumou Kalsoum Diallo & Pierre Mendy, 2019. "Wavelet Leader and Multifractal Detrended Fluctuation Analysis of Market Efficiency: Evidence from WAEMU Market Index," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 5(1), pages 1-23, June.
    2. Heni Boubaker, 2016. "A Comparative Study of the Performance of Estimating Long-Memory Parameter Using Wavelet-Based Entropies," Computational Economics, Springer;Society for Computational Economics, vol. 48(4), pages 693-731, December.

  15. Anoop S Kumar, 2011. "Testing for Weak Form of Market Efficiency in Indian Foreign Exchange Market," The IUP Journal of Monetary Economics, IUP Publications, vol. 0(3), pages 7-19, August.
    See citations under working paper version above.

Chapters

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Books

  1. Naoyuki Yoshino & Rajendra N. Paramanik & Anoop S. Kumar (ed.), 2022. "Studies in International Economics and Finance," India Studies in Business and Economics, Springer, number 978-981-16-7062-6, June.

    Cited by:

    1. Ioannis Dokas & Georgios Oikonomou & Stephanos Papadamou & Eleftherios Spyromitros, 2023. "Central Bank Credibility’s Effect on Stock Exchange Returns’ Volatility: Evidence from OECD Countries," Economies, MDPI, vol. 11(10), pages 1-15, October.

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