Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions
Author
Abstract
Suggested Citation
DOI: 10.1016/j.frl.2017.02.009
Download full text from publisher
To our knowledge, this item is not available for download. To find whether it is available, there are three options:1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Other versions of this item:
- Bouri, Elie & Gupta, Rangan & Tiwari, Aviral Kumar & Roubaud, David, 2017. "Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions," Finance Research Letters, Elsevier, vol. 23(C), pages 87-95.
- Elie Bouri & Rangan Gupta & Aviral Kumar Tiwari & David Roubaud, 2016. "Does Bitcoin Hedge Global Uncertainty? Evidence from Wavelet-Based Quantile-in-Quantile Regressions," Working Papers 201690, University of Pretoria, Department of Economics.
References listed on IDEAS
- David Garcia & Claudio Juan Tessone & Pavlin Mavrodiev & Nicolas Perony, 2014. "The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy," Papers 1408.1494, arXiv.org.
- Pavel Ciaian & Miroslava Rajcaniova & d’Artis Kancs, 2016.
"The economics of BitCoin price formation,"
Applied Economics, Taylor & Francis Journals, vol. 48(19), pages 1799-1815, April.
- Pavel Ciaian & Miroslava Rajcaniova & d'Artis Kancs, 2014. "The Economics of BitCoin Price Formation," EERI Research Paper Series EERI RP 2014/08, Economics and Econometrics Research Institute (EERI), Brussels.
- Pavel Ciaian & Miroslava Rajcaniova & d'Artis Kancs, 2014. "The Economics of BitCoin Price Formation," Papers 1405.4498, arXiv.org.
- Chuliá, Helena & Gupta, Rangan & Uribe, Jorge M. & Wohar, Mark E., 2017.
"Impact of US uncertainties on emerging and mature markets: Evidence from a quantile-vector autoregressive approach,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 178-191.
- 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.
- 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.
- 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.
- Ma, Lingjie & Koenker, Roger, 2006.
"Quantile regression methods for recursive structural equation models,"
Journal of Econometrics, Elsevier, vol. 134(2), pages 471-506, October.
- Lingjie Ma & Roger Koenker, 2004. "Quantile regression methods for recursive structural equation models," CeMMAP working papers CWP01/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Jamal Bouoiyour & Refk Selmi & Aviral Kumar Tiwari, 2015. "Is Bitcoin Business Income Or Speculative Foolery? New Ideas Through An Improved Frequency Domain Analysis," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 1-23.
- repec:agr:journl:v:1(590):y:2014:i:1(590):p:103-114 is not listed on IDEAS
- Koenker,Roger, 2005.
"Quantile Regression,"
Cambridge Books,
Cambridge University Press, number 9780521845731.
- Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521608275, September.
- Ramsey, J.B., 2002. "Wavelets in Economics and Finance: Past and Future," Working Papers 02-02, C.V. Starr Center for Applied Economics, New York University.
- Neil Gandal & Hanna Halaburda, 2014.
"Competition in the Cryptocurrency Market,"
Working Papers
14-17, NET Institute.
- Neil Gandal & Hanna Halaburda, 2014. "Competition in the Cryptocurrency Market," CESifo Working Paper Series 4980, CESifo.
- Gandal, Neil & Halaburda, Hanna, 2014. "Competition in the Cryptocurrency Market," CEPR Discussion Papers 10157, C.E.P.R. Discussion Papers.
- Neil Gandal & Hanna Halaburda, 2014. "Competition in the Cryptocurrency Market," Staff Working Papers 14-33, Bank of Canada.
- Aaron Yelowitz & Matthew Wilson, 2015.
"Characteristics of Bitcoin users: an analysis of Google search data,"
Applied Economics Letters, Taylor & Francis Journals, vol. 22(13), pages 1030-1036, September.
- Wilson, Matthew & Yelowitz, Aaron, 2014. "Characteristics of Bitcoin Users: An Analysis of Google Search Data," MPRA Paper 59661, University Library of Munich, Germany.
- Bouri, Elie & Molnár, Peter & Azzi, Georges & Roubaud, David & Hagfors, Lars Ivar, 2017.
"On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?,"
Finance Research Letters, Elsevier, vol. 20(C), pages 192-198.
- Elie Bouri & Peter Molnár & Georges Azzi & David Roubaud & Lars Ivar Hagfors, 2017. "On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?," Post-Print hal-02000697, HAL.
- Bouri, Elie & Azzi, Georges & Dyhrberg, Anne Haubo, 2017.
"On the return-volatility relationship in the Bitcoin market around the price crash of 2013,"
Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 11, pages 1-16.
- Bouri, Elie & Azzi, Georges & Haubo Dyhrberg, Anne, 2016. "On the return-volatility relationship in the Bitcoin market around the price crash of 2013," Economics Discussion Papers 2016-41, Kiel Institute for the World Economy (IfW Kiel).
- Dyhrberg, Anne Haubo, 2016. "Bitcoin, gold and the dollar – A GARCH volatility analysis," Finance Research Letters, Elsevier, vol. 16(C), pages 85-92.
- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
- Daniel Jubinski & Amy F. Lipton, 2012. "Equity volatility, bond yields, and yield spreads," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(5), pages 480-503, May.
- Beat Weber, 2016. "Bitcoin and the legitimacy crisis of money," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 40(1), pages 17-41.
- David Garcia & Claudio Tessone & Pavlin Mavrodiev & Nicolas Perony, "undated". "The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy," Working Papers ETH-RC-14-001, ETH Zurich, Chair of Systems Design.
- Basher, Syed Abul & Sadorsky, Perry, 2016.
"Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCH,"
Energy Economics, Elsevier, vol. 54(C), pages 235-247.
- Syed Abul, Basher & Perry, Sadorsky, 2015. "Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCH," MPRA Paper 68231, University Library of Munich, Germany.
- Fry, John & Cheah, Eng-Tuck, 2016. "Negative bubbles and shocks in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 343-352.
- Sim, Nicholas & Zhou, Hongtao, 2015. "Oil prices, US stock return, and the dependence between their quantiles," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 1-8.
- Dyhrberg, Anne Haubo, 2016. "Hedging capabilities of bitcoin. Is it the virtual gold?," Finance Research Letters, Elsevier, vol. 16(C), pages 139-144.
- Ramsey James B., 2002. "Wavelets in Economics and Finance: Past and Future," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(3), pages 1-29, November.
- Adam Hayes, 2015. "A Cost of Production Model for Bitcoin," Working Papers 1505, New School for Social Research, Department of Economics.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Flori, Andrea, 2019. "News and subjective beliefs: A Bayesian approach to Bitcoin investments," Research in International Business and Finance, Elsevier, vol. 50(C), pages 336-356.
- Andrea Flori, 2019. "Cryptocurrencies In Finance: Review And Applications," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(05), pages 1-22, August.
- Panagiotidis, Theodore & Stengos, Thanasis & Vravosinos, Orestis, 2019.
"The effects of markets, uncertainty and search intensity on bitcoin returns,"
International Review of Financial Analysis, Elsevier, vol. 63(C), pages 220-242.
- Theodore Panagiotidis & Thanasis Stengos & Orestis Vravosinos, 2018. "The effects of markets, uncertainty and search intensity on bitcoin returns," Working Paper series 18-39, Rimini Centre for Economic Analysis.
- 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.
- Seyram Pearl Kumah & Jones Odei Mensah, 2022. "Are cryptocurrencies connected to gold? A wavelet‐based quantile‐in‐quantile approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3640-3659, July.
- Ji, Qiang & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2018.
"Network causality structures among Bitcoin and other financial assets: A directed acyclic graph approach,"
The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 203-213.
- Qiang Ji & Elie Bouri & Rangan Gupta & David Roubaud, 2017. "Network Causality Structures among Bitcoin and other Financial Assets: A Directed Acyclic Graph Approach," Working Papers 201729, University of Pretoria, Department of Economics.
- Dean Fantazzini & Stephan Zimin, 2020.
"A multivariate approach for the simultaneous modelling of market risk and credit risk for cryptocurrencies,"
Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(1), pages 19-69, March.
- Fantazzini, Dean & Zimin, Stephan, 2019. "A multivariate approach for the simultaneous modelling of market risk and credit risk for cryptocurrencies," MPRA Paper 95988, University Library of Munich, Germany.
- Chu, Jeffrey & Chan, Stephen & Zhang, Yuanyuan, 2021. "Bitcoin versus high-performance technology stocks in diversifying against global stock market indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
- Zura Kakushadze & Jim Kyung-Soo Liew, 2018. "CryptoRuble: From Russia with Love," Papers 1801.05760, arXiv.org.
- Parthajit Kayal & Purnima Rohilla, 2021. "Bitcoin in the economics and finance literature: a survey," SN Business & Economics, Springer, vol. 1(7), pages 1-21, July.
- Bouri, Elie & Gupta, Rangan & Lahiani, Amine & Shahbaz, Muhammad, 2018.
"Testing for asymmetric nonlinear short- and long-run relationships between bitcoin, aggregate commodity and gold prices,"
Resources Policy, Elsevier, vol. 57(C), pages 224-235.
- Elie Bouri & Rangan Gupta & Amine Lahiani & Muhammad Shahbaz, 2017. "Testing for Asymmetric Nonlinear Short- and Long-Run Relationships between Bitcoin, Aggregate Commodity and Gold Prices," Working Papers 201760, University of Pretoria, Department of Economics.
- Elie Bouri & Rangan Gupta & Amine Lahiani & Muhammad Shahbaz, 2018. "Testing for asymmetric nonlinear short- and long-run relationships between bitcoin, aggregate commodity and gold prices," Post-Print hal-03533197, HAL.
- Jamal Bouoiyour & Refk Selmi, 2017.
"The Bitcoin price formation: Beyond the fundamental sources,"
Working Papers
hal-01548710, HAL.
- Jamal Bouoiyour & Refk Selmi, 2017. "The Bitcoin price formation: Beyond the fundamental sources," Papers 1707.01284, arXiv.org.
- Jin, Xuejun & Zhu, Keer & Yang, Xiaolan & Wang, Shouyang, 2021. "Estimating the reaction of Bitcoin prices to the uncertainty of fiat currency," Research in International Business and Finance, Elsevier, vol. 58(C).
- Bouri, Elie & Gupta, Rangan & Lau, Chi Keung Marco & Roubaud, David & Wang, Shixuan, 2018.
"Bitcoin and global financial stress: A copula-based approach to dependence and causality in the quantiles,"
The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 297-307.
- Elie Bouri & Rangan Gupta & Chi Keung Marco Lau & David Roubaud & Shixuan Wang, 2017. "Bitcoin and Global Financial Stress: A Copula-Based Approach to Dependence and Causality-in-Quantiles," Working Papers 201750, University of Pretoria, Department of Economics.
- 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.
- Telli, Şahin & Chen, Hongzhuan, 2020. "Multifractal behavior in return and volatility series of Bitcoin and gold in comparison," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
- Cagli, Efe Caglar, 2019. "Explosive behavior in the prices of Bitcoin and altcoins," Finance Research Letters, Elsevier, vol. 29(C), pages 398-403.
- Haffar, Adlane & Le Fur, Eric, 2021. "Structural vector error correction modelling of Bitcoin price," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 170-178.
- Kajtazi, Anton & Moro, Andrea, 2019. "The role of bitcoin in well diversified portfolios: A comparative global study," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 143-157.
- Jamal Bouoiyour & Refk Selmi, 2017.
"Are Trump and Bitcoin Good Partners?,"
Working Papers
hal-01480031, HAL.
- Jamal Bouoiyour & Refk Selmi, 2017. "Are Trump and Bitcoin Good Partners?," Papers 1703.00308, arXiv.org.
More about this item
Keywords
Bitcoin; Global uncertainty; Quantile regressions; Wavelet;All these keywords.
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-02008552. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.