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A No-Arbitrage Approach to Range-Based Estimation of Return Covariances and Correlations
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Cited by:
- Andrey Kudryavtsev, 2012. "Short-Term Stock Price Reversals May Be Reversed," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 5(3), pages 129-146, December.
- Mattiussi, V. & Iori, G., 2006. "Currency futures volatility during the 1997 East Asian crisis: an application of Fourier analysis," Working Papers 06/09, Department of Economics, City University London.
- Potiron, Yoann & Mykland, Per A., 2017.
"Estimation of integrated quadratic covariation with endogenous sampling times,"
Journal of Econometrics, Elsevier, vol. 197(1), pages 20-41.
- Yoann Potiron & Per Mykland, 2015. "Estimation of integrated quadratic covariation with endogenous sampling times," Papers 1507.01033, arXiv.org, revised Nov 2016.
- Eric Jondeau & Michael Rockinger, 2006.
"Optimal Portfolio Allocation under Higher Moments,"
European Financial Management, European Financial Management Association, vol. 12(1), pages 29-55, January.
- Jondeau, E. & Rockinger, M., 2004. "Optimal Portfolio Allocation Under Higher Moments," Working papers 108, Banque de France.
- repec:lan:wpaper:3046 is not listed on IDEAS
- Aharon, David Y. & Qadan, Mahmoud, 2020. "When do retail investors pay attention to their trading platforms?," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
- Yin-Wong Cheung, 2007.
"An empirical model of daily highs and lows,"
International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 12(1), pages 1-20.
- Yin-wong Cheung, 2006. "An Empirical Model of Daily Highs and Lows," Working Papers 072006, Hong Kong Institute for Monetary Research.
- Yin-Wong Cheung, 2006. "An Empirical Model of Daily Highs and Lows," CESifo Working Paper Series 1695, CESifo.
- Mueller, Philippe & Stathopoulos, Andreas & Vedolin, Andrea, 2017.
"International correlation risk,"
Journal of Financial Economics, Elsevier, vol. 126(2), pages 270-299.
- Philippe Mueller & Andreas Stathopoulos & Andrea Vedolin, "undated". "International Correlation Risk," FMG Discussion Papers dp716, Financial Markets Group.
- Mueller, Philippe & Stathopoulos, Andreas & Vedolin, Andrea, 2017. "International correlation risk," LSE Research Online Documents on Economics 84140, London School of Economics and Political Science, LSE Library.
- Andreas Stathopoulos & Andrea Vedolin & Philippe Mueller, 2012. "International Correlation Risk," 2012 Meeting Papers 818, Society for Economic Dynamics.
- Mueller, Philippe & Stathopoulos, Andreas & Vedolin, Andrea, 2014. "International correlation risk," LSE Research Online Documents on Economics 60955, London School of Economics and Political Science, LSE Library.
- Mueller, Philippe & Stathopoulos, Andreas & Vedolin, Andrea, 2013. "International correlation risk," LSE Research Online Documents on Economics 43087, London School of Economics and Political Science, LSE Library.
- Redouane Elkamhia & Denitsa Stefanova, 2011. "Dynamic Correlation or Tail Dependence Hedging for Portfolio Selection," Tinbergen Institute Discussion Papers 11-028/2/DSF10, Tinbergen Institute.
- Theodoros Diasakos, 2008. "Comparative Statics of Asset Prices," Carlo Alberto Notebooks 72, Collegio Carlo Alberto, revised 2011.
- Walid M.A. Ahmed, 2016. "Cross-border equity flows and market volatility: the case of Qatar Exchange," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 11(3), pages 395-418, July.
- Vetter, Mathias & Podolskij, Mark, 2006.
"Estimation of Volatility Functionals in the Simultaneous Presence of Microstructure Noise and Jumps,"
Technical Reports
2006,51, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Mark Podolskij & Mathias Vetter, 2007. "Estimation of Volatility Functionals in the Simultaneous Presence of Microstructure Noise and Jumps," CREATES Research Papers 2007-27, Department of Economics and Business Economics, Aarhus University.
- Silja Kinnebrock & Mark Podolskij, 2008.
"An Econometric Analysis of Modulated Realised Covariance, Regression and Correlation in Noisy Diffusion Models,"
OFRC Working Papers Series
2008fe25, Oxford Financial Research Centre.
- Silja Kinnebrock & Mark Podolskij, 2008. "An Econometric Analysis of Modulated Realised Covariance, Regression and Correlation in Noisy Diffusion Models," CREATES Research Papers 2008-23, Department of Economics and Business Economics, Aarhus University.
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2002.
"Parametric and Nonparametric Volatility Measurement,"
NBER Technical Working Papers
0279, National Bureau of Economic Research, Inc.
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2002. "Parametric and Nonparametric Volatility Measurement," Center for Financial Institutions Working Papers 02-27, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Bertrand Maillet & Jean-Philippe Médecin & Thierry Michel, 2009. "High Watermarks of Market Risks," Post-Print halshs-00425585, HAL.
- Capelle-Blancard, Gunther & Havrylchyk, Olena, 2016.
"The impact of the French securities transaction tax on market liquidity and volatility,"
International Review of Financial Analysis, Elsevier, vol. 47(C), pages 166-178.
- Gunther Capelle-Blancard & Olena Havrylchyk, 2013. "The Impact of the French Securities Transaction Tax on Market Liquidity and Volatility," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00940251, HAL.
- Gunther CAPELLE-BLANCARD & HAVRYLCHYK, Olena, 2014. "The Impact of the French Securities Transaction Tax on Market Liquidity and Volatility," Discussion papers 14007, Research Institute of Economy, Trade and Industry (RIETI).
- Gunther Capelle-Blancard & Olena Havrylchyk, 2013. "The Impact of the French Securities Transaction Tax on Market Liquidity and Volatility," Post-Print halshs-00940251, HAL.
- Gunther Capelle-Blancard & Olena Havrylchyk, 2013. "The Impact of the French Securities Transaction Tax on Market Liquidity and Volatility," Documents de travail du Centre d'Economie de la Sorbonne 13085, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
- Gunther Capelle-Blancard & Olena Havrylchyk, 2016. "The impact of the French securities transaction tax on market liquidity and volatility," Post-Print hal-01441775, HAL.
- Gunther Capelle-Blancard & Olena Havrylchyk, 2016. "The impact of the French securities transaction tax on market liquidity and volatility," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01441775, HAL.
- Gunther Capelle-Blancard & Olena Havrylchyk, 2014. "The Impact of the French Securities Transaction Tax on Market Liquidity and Volatility," EconomiX Working Papers 2014-27, University of Paris Nanterre, EconomiX.
- Gunther Capelle-Blancard & Olena Havrylchyk, 2014. "The Impact of the French Securities Transaction Tax on Market Liquidity and Volatility," Working Papers hal-04141335, HAL.
- Ole E. Barndorff-Nielsen & Neil Shephard, 2005.
"Variation, jumps, market frictions and high frequency data in financial econometrics,"
OFRC Working Papers Series
2005fe08, Oxford Financial Research Centre.
- Ole E. Barndorff-Nielsen & Neil Shephard, 2005. "Variation, jumps, market frictions and high frequency data in financial econometrics," Economics Papers 2005-W16, Economics Group, Nuffield College, University of Oxford.
- Neil Shephard & Ole E. Barndorff-Nielsen & Department of Mathematical Sciences & University of Aarhus & Denmark, 2005. "Variation, jumps, market frictions and high frequency data in financial econometrics," Economics Series Working Papers 240, University of Oxford, Department of Economics.
- Paulo M.M. Rodrigues & Matei Demetrescu, 2018. "Testing the fractionally integrated hypothesis using M estimation: With an application to stock market volatility," Working Papers w201817, Banco de Portugal, Economics and Research Department.
- Prosper Dovonon, 2013.
"Conditionally Heteroskedastic Factor Models With Skewness And Leverage Effects,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(7), pages 1110-1137, November.
- Dovonon, Prosper, 2008. "Conditionally heteroskedastic factor models with skewness and leverage effects," MPRA Paper 40206, University Library of Munich, Germany, revised Feb 2012.
- Yeh, Jin-Huei & Yun, Mu-Shu, 2023. "Assessing jump and cojumps in financial asset returns with applications in futures markets," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
- Martin Becker & Ralph Friedmann & Stefan Klößner & Walter Sanddorf-Köhle, 2007. "A Hausman test for Brownian motion," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 91(1), pages 3-21, March.
- Vladimir Tsenkov, 2009. "Financial Markets Modelling," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 87-96.
- Ozgur (Ozzy) Akay & Mark D. Griffiths & Drew B. Winters, 2010. "On The Robustness Of Range‐Based Volatility Estimators," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 33(2), pages 179-199, June.
- Ben Ammar, Imen & Hellara, Slaheddine, 2022. "High-frequency trading, stock volatility, and intraday crashes," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 337-344.
- repec:lan:wpaper:3324 is not listed on IDEAS
- Vu Tran & Rasha Alsakka & Owain ap Gwilym, 2018. "Multiple credit ratings and market heterogeneity," Working Papers 2018-26, Swansea University, School of Management.
- Nicole Abruzzo & Yang-Ho Park, 2014. "An Empirical Analysis of Futures Margin Changes: Determinants and Policy Implications," Finance and Economics Discussion Series 2014-86, Board of Governors of the Federal Reserve System (U.S.).
- Hou, Kewei & Loh, Roger K., 2016. "Have we solved the idiosyncratic volatility puzzle?," Journal of Financial Economics, Elsevier, vol. 121(1), pages 167-194.
- Chazi, Abdelaziz & Samet, Anis & Azad, A.S.M. Sohel, 2023. "Volatility and correlation of Islamic and conventional indices during crises," Global Finance Journal, Elsevier, vol. 55(C).
- Caporin, Massimiliano & Ranaldo, Angelo & Santucci de Magistris, Paolo, 2013.
"On the predictability of stock prices: A case for high and low prices,"
Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5132-5146.
- Massimiliano Caporin & Angelo Ranaldo, 2011. "On the Predictability of Stock Prices: a Case for High and Low Prices," Working Papers 2011-11, Swiss National Bank.
- Caporin, Massimiliano & Ranaldo, Angelo & Santucci de Magistris, Paolo, 2012. "On the Predictability of Stock Prices: a Case for High and Low Prices," Working Papers on Finance 1213, University of St. Gallen, School of Finance.
- Massimiliano Caporin & Angelo Ranaldo & Paolo Santucci de Magistris, 2011. "On the Predictability of Stock Prices: A Case for High and Low Prices," "Marco Fanno" Working Papers 0136, Dipartimento di Scienze Economiche "Marco Fanno".
- Bayraci, Selcuk & Demiralay, Sercan, 2013. "Conditional Autoregregressive Range (CARR) Based Volatility Spillover Index For the Eurozone Markets," MPRA Paper 51909, University Library of Munich, Germany.
- Capelle-Blancard, Gunther, 2017.
"Curbing the growth of stock trading? Order-to-trade ratios and financial transaction taxes,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 49(C), pages 48-73.
- Gunther Capelle-Blancard, 2014. "Curbing the Growth of Stock Trading? Order-to-Trade Ratios and Financial Transaction Taxes," BAFFI CAREFIN Working Papers 1506, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
- Gunther Capelle-Blancard, 2017. "Curbing the Growth of Stock Trading? Order-to-Trade Ratios and Financial Transaction Taxes," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01441828, HAL.
- Gunther Capelle-Blancard, 2017. "Curbing the Growth of Stock Trading? Order-to-Trade Ratios and Financial Transaction Taxes," Post-Print hal-01441828, HAL.
- Filip Zikes, 2017. "Measuring Transaction Costs in the Absence of Timestamps," Finance and Economics Discussion Series 2017-045, Board of Governors of the Federal Reserve System (U.S.).
- Harris, Richard D.F. & Yilmaz, Fatih, 2010. "Estimation of the conditional variance-covariance matrix of returns using the intraday range," International Journal of Forecasting, Elsevier, vol. 26(1), pages 180-194, January.
- Yan-Leung Cheung & Yin-Wong Cheung & Alan T. K. Wan, 2009.
"A high-low model of daily stock price ranges,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(2), pages 103-119.
- Yan-Leung Cheung & Yin-Wong Cheung & Alan T.K. Wan, 2008. "A High-Low Model of Daily Stock Price Ranges," CESifo Working Paper Series 2387, CESifo.
- Yan-Leung Cheung & Yin-Wong Cheung & Alan T. K. Wan, 2009. "A High-Low Model of Daily Stock Price Ranges," Working Papers 032009, Hong Kong Institute for Monetary Research.
- Liu, Xinyi & Margaritis, Dimitris & Wang, Peiming, 2012. "Stock market volatility and equity returns: Evidence from a two-state Markov-switching model with regressors," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 483-496.
- Wu, Chih-Chiang & Liang, Shin-Shun, 2011. "The economic value of range-based covariance between stock and bond returns with dynamic copulas," Journal of Empirical Finance, Elsevier, vol. 18(4), pages 711-727, September.
- Vortelinos, Dimitrios I., 2014. "Optimally sampled realized range-based volatility estimators," Research in International Business and Finance, Elsevier, vol. 30(C), pages 34-50.
- Vortelinos, Dimitrios I., 2016. "Incremental information of stock indicators," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 79-97.
- Piotr Fiszeder, 2018. "Low and high prices can improve covariance forecasts: The evidence based on currency rates," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(6), pages 641-649, September.
- Laurent, Sébastien & Rombouts, Jeroen V.K. & Violante, Francesco, 2013.
"On loss functions and ranking forecasting performances of multivariate volatility models,"
Journal of Econometrics, Elsevier, vol. 173(1), pages 1-10.
- Sébastien Laurent & Jeroen Rombouts & Francesco Violente, 2009. "On Loss Functions and Ranking Forecasting Performances of Multivariate Volatility Models," CIRANO Working Papers 2009s-45, CIRANO.
- Sébastien Laurent & Jeroen V.K. Rombouts & Francesco Violante, 2009. "On Loss Functions and Ranking Forecasting Performances of Multivariate Volatility Models," Cahiers de recherche 0948, CIRPEE.
- Awartani, Basel & Maghyereh, Aktham Issa, 2013. "Dynamic spillovers between oil and stock markets in the Gulf Cooperation Council Countries," Energy Economics, Elsevier, vol. 36(C), pages 28-42.
- Bandi, Federico M. & Russell, Jeffrey R., 2006. "Separating microstructure noise from volatility," Journal of Financial Economics, Elsevier, vol. 79(3), pages 655-692, March.
- Abdollahi, Hooman & Fjesme, Sturla L. & Sirnes, Espen, 2024. "Measuring market volatility connectedness to media sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
- Molnár, Peter, 2012. "Properties of range-based volatility estimators," International Review of Financial Analysis, Elsevier, vol. 23(C), pages 20-29.
- Peter Christoffersen & Kris Jacobs & Gregory Vainberg, 2007. "Forward-Looking Betas," CREATES Research Papers 2007-39, Department of Economics and Business Economics, Aarhus University.
- Ben Sita, Bernard & Abdallah, Wissam, 2014. "Volatility links between the home and the host market for U.K. dual-listed stocks on U.S. markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 183-199.
- Gloria Gonzalez‐Rivera & Yun Luo & Esther Ruiz, 2020.
"Prediction regions for interval‐valued time series,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 373-390, June.
- Gloria Gonzalez-Rivera & Yun Luo & Esther Ruiz, 2018. "Prediction Regions for Interval-valued Time Series," Working Papers 201817, University of California at Riverside, Department of Economics.
- Gloria Gonzalez-Rivera & Yun Luo & Esther Ruiz, 2019. "Prediction Regions for Interval-valued Time Series," Working Papers 201921, University of California at Riverside, Department of Economics.
- González-Rivera, Gloria & Luo, Yun, 2019. "Prediction regions for interval-valued time series," DES - Working Papers. Statistics and Econometrics. WS 29054, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Sensoy, Ahmet & Uzun, Sevcan & Lucey, Brian M., 2021. "Commonality in FX liquidity: High-frequency evidence," Finance Research Letters, Elsevier, vol. 39(C).
- Li, Shaoyu & Zheng, Tingguo, 2017. "Modeling spot rate using a realized stochastic volatility model with level effect and dynamic drift☆," The North American Journal of Economics and Finance, Elsevier, vol. 40(C), pages 200-221.
- Pelletier, Denis, 2006.
"Regime switching for dynamic correlations,"
Journal of Econometrics, Elsevier, vol. 131(1-2), pages 445-473.
- Denis Pelletier, 2004. "Regime Switching for Dynamic Correlations," Econometric Society 2004 North American Summer Meetings 230, Econometric Society.
- Vortelinos, Dimitrios I., 2010. "The properties of realized correlation: Evidence from the French, German and Greek equity markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(3), pages 273-290, August.
- Engle, Robert F. & Gallo, Giampiero M., 2006.
"A multiple indicators model for volatility using intra-daily data,"
Journal of Econometrics, Elsevier, vol. 131(1-2), pages 3-27.
- Robert F. Engle & Giampiero M. Gallo, 2003. "A Multiple Indicators Model for Volatility Using Intra-Daily Data," NBER Working Papers 10117, National Bureau of Economic Research, Inc.
- Robert F. Engle & Giampiero M. Gallo, 2003. "A Multiple Indicators Model For Volatility Using Intra-Daily Data," Econometrics Working Papers Archive wp2003_07, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
- 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).
- Padmakumari, Lakshmi & S., Maheswaran, 2017. "A new statistic to capture the level dependence in stock price volatility," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 355-362.
- Bannouh, K. & van Dijk, D.J.C. & Martens, M.P.E., 2008. "Range-based covariance estimation using high-frequency data: The realized co-range," Econometric Institute Research Papers EI 2007-53, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- OlaOluwa S. Yaya & Xuan Vinh Vo & Ahamuefula E. Ogbonna & Adeolu O. Adewuyi, 2022.
"Modelling cryptocurrency high–low prices using fractional cointegrating VAR,"
International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 489-505, January.
- Yaya, OaOluwa S & Vo, Xuan Vinh & Ogbonna, Ahamuefula E & Adewuyi, Adeolu O, 2020. "Modelling Cryptocurrency High-Low Prices using Fractional Cointegrating VAR," MPRA Paper 102190, University Library of Munich, Germany, revised 02 Aug 2020.
- Kim Christensen & Mark Podolskij & Mathias Vetter, 2009.
"Bias-correcting the realized range-based variance in the presence of market microstructure noise,"
Finance and Stochastics, Springer, vol. 13(2), pages 239-268, April.
- Christensen, Kim & Podolskij, Mark & Vetter, Mathias, 2006. "Bias-Correcting the Realized Range-Based Variance in the Presence of Market Microstructure Noise," Technical Reports 2006,52, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Christensen, Kim & Podolski, Mark, 2005. "Asymptotic theory for range-based estimation of integrated variance of a continuous semi-martingale," Technical Reports 2005,18, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Robert Ślepaczuk & Grzegorz Zakrzewski, 2009. "High-Frequency and Model-Free Volatility Estimators," Working Papers 2009-13, Faculty of Economic Sciences, University of Warsaw.
- Turan Bali & Kamil Yilmaz, 2009. "The Intertemporal Relation between Expected Return and Risk on Currency," Koç University-TUSIAD Economic Research Forum Working Papers 0909, Koc University-TUSIAD Economic Research Forum, revised Nov 2009.
- Fiszeder, Piotr & Fałdziński, Marcin, 2019. "Improving forecasts with the co-range dynamic conditional correlation model," Journal of Economic Dynamics and Control, Elsevier, vol. 108(C).
- Liao, Yin & Anderson, Heather M., 2019.
"Testing for cojumps in high-frequency financial data: An approach based on first-high-low-last prices,"
Journal of Banking & Finance, Elsevier, vol. 99(C), pages 252-274.
- Yin Liao & Heather M. Anderson, 2011. "Testing for co-jumps in high-frequency financial data: an approach based on first-high-low-last prices," Monash Econometrics and Business Statistics Working Papers 9/11, Monash University, Department of Econometrics and Business Statistics.
- Gourieroux, C. & Jasiak, J. & Sufana, R., 2009.
"The Wishart Autoregressive process of multivariate stochastic volatility,"
Journal of Econometrics, Elsevier, vol. 150(2), pages 167-181, June.
- Joan Jasiak & R. Sufana & C. Gourieroux, 2005. "The Wishart Autoregressive Process of Multivariate Stochastic Volatility," Working Papers 2005_2, York University, Department of Economics.
- Fiszeder, Piotr & Fałdziński, Marcin & Molnár, Peter, 2023. "Modeling and forecasting dynamic conditional correlations with opening, high, low, and closing prices," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 308-321.
- Angelo Ranaldo & Paolo Santucci de Magistris, 2018. "Trading Volume, Illiquidity and Commonalities in FX Markets," Working Papers on Finance 1823, University of St. Gallen, School of Finance, revised Oct 2019.
- Jin-Huei Yeh & Jying-Nan Wang & Chung-Ming Kuan, 2014. "A noise-robust estimator of volatility based on interquantile ranges," Review of Quantitative Finance and Accounting, Springer, vol. 43(4), pages 751-779, November.
- Lakshmi Padmakumari & S. Maheswaran, 2018. "Covariance estimation using random permutations," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 1-21, March.
- (Jeremy) Chiu, Ching-wai & Harris, Richard D.F. & Stoja, Evarist & Chin, Michael, 2018.
"Financial market Volatility, macroeconomic fundamentals and investor Sentiment,"
Journal of Banking & Finance, Elsevier, vol. 92(C), pages 130-145.
- Chiu, Ching-Wai (Jeremy) & Harris, Richard & Stoja, Evarist & Chin, Michael, 2016. "Financial market volatility, macroeconomic fundamentals and investor sentiment," Bank of England working papers 608, Bank of England.
- repec:wyi:journl:002202 is not listed on IDEAS
- LAURENT, Sébastien & VIOLANTE, Francesco, 2012. "Volatility forecasts evaluation and comparison," LIDAM Reprints CORE 2414, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Yeh, Jin-Huei & Wang, Jying-Nan, 2010. "Correcting microstructure comovement biases for integrated covariance," Finance Research Letters, Elsevier, vol. 7(3), pages 184-191, September.
- Dimitrios P. Louzis & Spyros Xanthopoulos‐Sisinis & Apostolos P. Refenes, 2013.
"The Role of High‐Frequency Intra‐daily Data, Daily Range and Implied Volatility in Multi‐period Value‐at‐Risk Forecasting,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(6), pages 561-576, September.
- Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2011. "The role of high frequency intra-daily data, daily range and implied volatility in multi-period Value-at-Risk forecasting," MPRA Paper 35252, University Library of Munich, Germany.
- Galli, Fausto, 2014. "Stochastic conditonal range, a latent variable model for financial volatility," MPRA Paper 54030, University Library of Munich, Germany.
- Pagano, Michael S. & Peng, Lin & Schwartz, Robert A., 2013. "A call auction's impact on price formation and order routing: Evidence from the NASDAQ stock market," Journal of Financial Markets, Elsevier, vol. 16(2), pages 331-361.
- Eduardo Rossi & Paolo Santucci de Magistris, 2013. "A No‐Arbitrage Fractional Cointegration Model for Futures and Spot Daily Ranges," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(1), pages 77-102, January.
- S. Sanfelici & M. E. Mancino, 2008. "Covariance estimation via Fourier method in the presence of asynchronous trading and microstructure noise," Economics Department Working Papers 2008-ME01, Department of Economics, Parma University (Italy).
- Bo-Young Chang & Peter Christoffersen & Kris Jacobs & Gregory Vainberg, 2011.
"Option-Implied Measures of Equity Risk,"
Review of Finance, European Finance Association, vol. 16(2), pages 385-428.
- Bo-Young Chang & Peter Christoffersen & Kris Jacobs & Gregory Vainberg, 2009. "Option-Implied Measures of Equity Risk," CIRANO Working Papers 2009s-33, CIRANO.
- Gnabo, Jean-Yves & Hvozdyk, Lyudmyla & Lahaye, Jérôme, 2014. "System-wide tail comovements: A bootstrap test for cojump identification on the S&P 500, US bonds and currencies," Journal of International Money and Finance, Elsevier, vol. 48(PA), pages 147-174.
- Philippe Raimbourg & Paul Zimmermann, 2022. "Is normal backwardation normal? Valuing financial futures with a local index-rate covariance," Post-Print hal-04011013, HAL.
- Fausti, Scott W. & Qasmi, Bashir A. & Diersen, Matthew A., 2007. "Public Reporting of Fed Cattle Grid Prices: Policy Reform Consequences," Economics Staff Papers 7297, South Dakota State University, Department of Economics.
- Leandro Maciel, 2020. "Technical analysis based on high and low stock prices forecasts: evidence for Brazil using a fractionally cointegrated VAR model," Empirical Economics, Springer, vol. 58(4), pages 1513-1540, April.
- Pagano, Michael S. & Peng, Lin & Schwartz, Robert A., 2008. "The quality of price formation at market openings and closings: Evidence from the Nasdaq stock market," CFS Working Paper Series 2008/45, Center for Financial Studies (CFS).
- Härdle, Wolfgang Karl & Chen, Ying & Schulz, Rainer, 2004.
"Prognose mit nichtparametrischen Verfahren,"
Papers
2004,07, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
- Härdle, Wolfgang Karl & Schulz, Rainer & Wang, Weining, 2010. "Prognose mit nichtparametrischen Verfahren," SFB 649 Discussion Papers 2010-041, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Blasco, N. & Corredor, P. & Satrústegui, N., 2023. "Is there an expiration effect in the bitcoin market?," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 647-663.
- Sin, Chor-Yiu (CY), 2013. "Using CARRX models to study factors affecting the volatilities of Asian equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 552-564.
- Raimbourg, Philippe & Zimmermann, Paul, 2022. "Is normal backwardation normal? Valuing financial futures with a local index-rate covariance," European Journal of Operational Research, Elsevier, vol. 298(1), pages 351-367.
- repec:lan:wpaper:592830 is not listed on IDEAS
- Tseng Tseng-Chan & Chung Huimin & Huang Chin-Sheng, 2009. "Modeling Jump and Continuous Components in the Volatility of Oil Futures," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(3), pages 1-30, May.
- Castrén, Olli & Mazzotta, Stefano, 2005. "Foreign exchange option and returns based correlation forecasts: evaluation and two applications," Working Paper Series 447, European Central Bank.
- Lin Peng & Turan G. Bali, 2006. "Is there a risk-return trade-off? Evidence from high-frequency data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1169-1198.
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