Did Brexit change the behaviour of the UK’s financial markets?
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Christian Rudolf RICHTER & Bachar FAKHRY, 2016. "Testing the Efficiency of the GIPS Sovereign Debt Markets using an Asymmetrical Volatility Test," Journal of Economics and Political Economy, EconSciences Journals, vol. 3(3), pages 524-535, September.
- Bachar Fakhry & Christian Richter, 2018.
"Does the Federal Constitutional Court Ruling Mean the German Financial Market is Efficient?,"
European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 4(2), pages 111-125.
- Bachar Fakhry & Christian Richter, 2018. "Does the Federal Constitutional Court Ruling mean the German Financial Market is Efficient?," Working Papers 46, The German University in Cairo, Faculty of Management Technology.
- Shiller, Robert J, 1981.
"The Use of Volatility Measures in Assessing Market Efficiency,"
Journal of Finance, American Finance Association, vol. 36(2), pages 291-304, May.
- Robert J. Shiller, 1980. "The Use of Volatility Measures in Assessing Market Efficiency," NBER Working Papers 0565, National Bureau of Economic Research, Inc.
- Bachar FAKHRY, 2016. "A Literature Review of the Efficient Market Hypothesis," Turkish Economic Review, KSP Journals, vol. 3(3), pages 431-442, September.
- Rafal Kierzenkowski & Nigel Pain & Elena Rusticelli & Sanne Zwart, 2016. "The Economic Consequences of Brexit: A Taxing Decision," OECD Economic Policy Papers 16, OECD Publishing.
- Christian Rudolf RICHTER & Bachar FAKHRY, 2016. "Testing the Efficiency of the GIPS Sovereign Debt Markets using an Asymmetrical Volatility Test," Journal of Economics and Political Economy, KSP Journals, vol. 3(3), pages 524-535, September.
- Graham Gudgin & Ken Coutts & Neil Gibson & Jordan Buchanan, 2017.
"The Role of Gravity Models in Estimating the Economic Impact of Brexit,"
Working Papers
wp490, Centre for Business Research, University of Cambridge.
- Graham Gudgin & Ken Coutts & Neil Gibson & Jordan Buchanan, 2017. "The Role of Gravity Models in Estimating the Economic Impact of Brexit," GEE Papers 0077, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Aug 2017.
- Bachar FAKHRY, 2016. "A Literature Review of the Efficient Market Hypothesis," Turkish Economic Review, EconSciences Journals, vol. 3(3), pages 431-442, September.
- Ľuboš Pástor & Robert F. Stambaugh, 2012.
"Are Stocks Really Less Volatile in the Long Run?,"
Journal of Finance, American Finance Association, vol. 67(2), pages 431-478, April.
- Lubos Pastor & Robert F. Stambaugh, 2009. "Are Stocks Really Less Volatile in the Long Run?," NBER Working Papers 14757, National Bureau of Economic Research, Inc.
- Stambaugh, Robert F. & Pástor, Luboš, 2009. "Are Stocks Really Less Volatile in the Long Run?," CEPR Discussion Papers 7199, C.E.P.R. Discussion Papers.
- Lee, Wayne Y. & Jiang, Christine X. & Indro, Daniel C., 2002. "Stock market volatility, excess returns, and the role of investor sentiment," Journal of Banking & Finance, Elsevier, vol. 26(12), pages 2277-2299.
- Philipp Mohl & David Sondermann, 2013. "Has political communication during the crisis impacted sovereign bond spreads in the euro area?," Applied Economics Letters, Taylor & Francis Journals, vol. 20(1), pages 48-61, January.
- Engle, Robert F. & White (the late), Halbert (ed.), 1999. "Cointegration, Causality, and Forecasting: Festschrift in Honour of Clive W. J. Granger," OUP Catalogue, Oxford University Press, number 9780198296836.
- Bollerslev, Tim, 1986.
"Generalized autoregressive conditional heteroskedasticity,"
Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
- Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
- Colacito, Riccardo & Engle, Robert F. & Ghysels, Eric, 2011. "A component model for dynamic correlations," Journal of Econometrics, Elsevier, vol. 164(1), pages 45-59, September.
- Ricardo J. Caballero & Arvind Krishnamurthy, 2009.
"Global Imbalances and Financial Fragility,"
American Economic Review, American Economic Association, vol. 99(2), pages 584-588, May.
- Ricardo J. Caballero & Arvind Krishnamurthy, 2009. "Global Imbalances and Financial Fragility," NBER Working Papers 14688, National Bureau of Economic Research, Inc.
- Stefan Collignon & Piero Esposito & Hanna Lierse, 2013. "European Sovereign Bailouts, Political Risk And The Economic Consequences Of Mrs. Merkel," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 4(02), pages 1-25.
- Bachar Fakhry & Christian Richter, 2015. "Is the sovereign debt market efficient? Evidence from the US and German sovereign debt markets," International Economics and Economic Policy, Springer, vol. 12(3), pages 339-357, September.
- R. F. Engle & A. J. Patton, 2001. "What good is a volatility model?," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 237-245.
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.- Bachar Fakhry & Christian Richter, 2018.
"Does the Federal Constitutional Court Ruling Mean the German Financial Market is Efficient?,"
European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 4(2), pages 111-125.
- Bachar Fakhry & Christian Richter, 2018. "Does the Federal Constitutional Court Ruling mean the German Financial Market is Efficient?," Working Papers 46, The German University in Cairo, Faculty of Management Technology.
- Bauwens, L. & Hafner C. & Laurent, S., 2011.
"Volatility Models,"
LIDAM Discussion Papers ISBA
2011044, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- BAUWENS, Luc & HAFNER, Christian & LAURENT, Sébastien, 2011. "Volatility models," LIDAM Discussion Papers CORE 2011058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Bauwens, L. & Hafner, C. & Laurent, S., 2012. "Volatility Models," LIDAM Reprints ISBA 2012028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Bachar Fakhry, 2019. "Behavioural Finance: Reviews on EuroZone and Brexit," EconSciences Library Books, EconSciences Library Books, edition 1, number 978-605-7736-51-2, May.
- Alketa Bejko & Etleva Peta & Belinda Xarba, 2015. "The Evaluation of the Drafting Process of Regional’s Development Strategies in Albania. the Research on Gjirokastra’s Region," European Journal of Interdisciplinary Studies Articles, Revistia Research and Publishing, vol. 1, ejis_v1_i.
- Mehmet Sahiner, 2022. "Forecasting volatility in Asian financial markets: evidence from recursive and rolling window methods," SN Business & Economics, Springer, vol. 2(10), pages 1-74, October.
- Amendola, Alessandra & Candila, Vincenzo & Gallo, Giampiero M., 2019. "On the asymmetric impact of macro–variables on volatility," Economic Modelling, Elsevier, vol. 76(C), pages 135-152.
- Eduardo Rossi, 2010. "Univariate GARCH models: a survey (in Russian)," Quantile, Quantile, issue 8, pages 1-67, July.
- Belcaid, Karim & El Ghini, Ahmed, 2019. "U.S., European, Chinese economic policy uncertainty and Moroccan stock market volatility," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
- Olivier Habimana, 2017. "Do flexible exchange rates facilitate external adjustment? A dynamic approach with time-varying and asymmetric volatility," International Economics and Economic Policy, Springer, vol. 14(4), pages 625-642, October.
- Vincenzo Candila & Giampiero M. Gallo & Lea Petrella, 2020. "Mixed--frequency quantile regressions to forecast Value--at--Risk and Expected Shortfall," Papers 2011.00552, arXiv.org, revised Mar 2023.
- Han, Heejoon & Park, Joon Y., 2008.
"Time series properties of ARCH processes with persistent covariates,"
Journal of Econometrics, Elsevier, vol. 146(2), pages 275-292, October.
- Han, Heejoon & Park, Joon Y., 2006. "Time series properties of ARCH processes with persistent covariates," MPRA Paper 5199, University Library of Munich, Germany.
- Perry Sadorsky & Michael D. McKenzie, 2008. "Power transformation models and volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(7), pages 587-606.
- Afees A. S alisu & Wenting Liao & Rangan Gupta & Oguzhan Cepni, 2025.
"Economic Conditions and Predictability of US Stock Returns Volatility: Local Factor Versus National Factor in a GARCH‐MIDAS Model,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(4), pages 1441-1466, July.
- Afees A. Salisu & Wenting Liao & Rangan Gupta & Oguzhan Cepni, 2023. "Economic Conditions and Predictability of US Stock Returns Volatility: Local Factor versus National Factor in a GARCH-MIDAS Model," Working Papers 202323, University of Pretoria, Department of Economics.
- Christoffersen, Peter & Jacobs, Kris & Ornthanalai, Chayawat & Wang, Yintian, 2008.
"Option valuation with long-run and short-run volatility components,"
Journal of Financial Economics, Elsevier, vol. 90(3), pages 272-297, December.
- Peter Christoffersen & Kris Jacobs & Yintian Wang, 2004. "Option Valuation with Long-run and Short-run Volatility Components," CIRANO Working Papers 2004s-56, CIRANO.
- Peter Christoffersen & Kris Jacobs & Chayawat Ornthanalai & Yintian Wang, 2008. "Option Valuation with Long-run and Short-run Volatility Components," CREATES Research Papers 2008-11, Department of Economics and Business Economics, Aarhus University.
- Salisu, Afees A. & Ogbonna, Ahamuefula E. & Gupta, Rangan & Bouri, Elie, 2024.
"Energy-related uncertainty and international stock market volatility,"
The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 280-293.
- Afees A. Salisu & Ahamuefula E. Ogbonna & Rangan Gupta & Elie Bouri, 2023. "Energy-Related Uncertainty and International Stock Market Volatility," Working Papers 202336, University of Pretoria, Department of Economics.
- Amendola, Alessandra & Candila, Vincenzo & Gallo, Giampiero M., 2021. "Choosing the frequency of volatility components within the Double Asymmetric GARCH–MIDAS–X model," Econometrics and Statistics, Elsevier, vol. 20(C), pages 12-28.
- Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
- Bachar FAKHRY, 2019. "Happy 20th birthday Euro: An integrated analysis of the stability status in the Eurozone’s equity markets," Journal of Economics and Political Economy, EconSciences Journals, vol. 6(3), pages 227-256, September.
- Saker Sabkha & Christian Peretti & Dorra Hmaied, 2019. "On the informational market efficiency of the worldwide sovereign credit default swaps," Journal of Asset Management, Palgrave Macmillan, vol. 20(7), pages 581-608, December.
- Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2005.
"Volatility forecasting,"
CFS Working Paper Series
2005/08, Center for Financial Studies (CFS).
- Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2005. "Volatility Forecasting," PIER Working Paper Archive 05-011, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2005. "Volatility Forecasting," NBER Working Papers 11188, National Bureau of Economic Research, Inc.
More about this item
Keywords
; ; ; ;JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- G01 - Financial Economics - - General - - - Financial Crises
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
- G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
- G40 - Financial Economics - - Behavioral Finance - - - General
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:cvv:journ1:v:6:y:2019:i:1:p:98-121. 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: Bilal KARGI (email available below). General contact details of provider: https://journals.econsciences.com/index.php/JEPE .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/cvv/journ1/v6y2019i1p98-121.html