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Citations for "The Extreme Value Method for Estimating the Variance of the Rate of Return"

by Parkinson, Michael

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  1. Torben G. Andersen & Tim Bollerslev, 1996. "DM-Dollar Volatility: Intraday Activity Patterns, Macroeconomic Announcements, and Longer Run Dependencies," NBER Working Papers 5783, National Bureau of Economic Research, Inc.
  2. Yilmaz, Kamil, 2010. "International Business Cycle Spillovers," CEPR Discussion Papers 7966, C.E.P.R. Discussion Papers.
  3. Torben G. Andersen & Luca Benzoni, 2008. "Realized volatility," Working Paper Series WP-08-14, Federal Reserve Bank of Chicago.
  4. Yu Chuan Huang & Shu Hui Chan, 2014. "The Trading Behavior of Attention Securities with Different Closing Mechanisms: Evidence from Taiwan," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1450026-1-1.
  5. Lv, Longjin & Xiao, Jianbin & Fan, Liangzhong & Ren, Fuyao, 2016. "Correlated continuous time random walk and option pricing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 100-107.
  6. Sassan Alizadeh & Michael W. Brandt & Francis X. Diebold, 2001. "High- and Low-Frequency Exchange Rate Volatility Dynamics: Range-Based Estimation of Stochastic Volatility Models," NBER Working Papers 8162, National Bureau of Economic Research, Inc.
  7. 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.
  8. Gray, Stephen F. & Smith, Tom & Whaley, Robert E., 2003. "Stock splits: implications for investor trading costs," Journal of Empirical Finance, Elsevier, vol. 10(3), pages 271-303, May.
  9. Matteo Barigozzi & Marc Hallin, 2015. "Networks, Dynamic Factors, and the Volatility Analysis of High-Dimensional Financial Series," Working Papers ECARES ECARES 2015-34, ULB -- Universite Libre de Bruxelles.
  10. Lapinova, S. & Saichev, A. & Tarakanova, M., 2013. "Efficiency and probabilistic properties of bridge volatility estimator," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1439-1451.
  11. Martin Becker, 2010. "Exact simulation of final, minimal and maximal values of Brownian motion and jump-diffusions with applications to option pricing," Computational Management Science, Springer, vol. 7(1), pages 1-17, January.
  12. repec:lan:wpaper:3324 is not listed on IDEAS
  13. Bertrand Candelon & Arnaud Dupuy, 2014. "Hierarchical Organization and Performance Inequality: Evidence from Professional Cycling," Working Papers 2014-44, Department of Research, Ipag Business School.
  14. Chou, Ray Yeutien & Liu, Nathan, 2010. "The economic value of volatility timing using a range-based volatility model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(11), pages 2288-2301, November.
  15. Chen, Chun-nan & Wu, Chunchi, 2009. "Small trades and volatility increases after stock splits," International Review of Economics & Finance, Elsevier, vol. 18(4), pages 592-610, October.
  16. Cathy W. S. Chen & Richard Gerlach & Bruce B. K. Hwang & Michael McAleer, 2011. "Forecasting Value-at-Risk Using Nonlinear Regression Quantiles and the Intra-day Range," Working Papers in Economics 11/22, University of Canterbury, Department of Economics and Finance.
  17. Tzang, Shyh-Weir & Hung, Chih-Hsing & Wang, Chou-Wen & Shyu, David So-De, 2011. "Do liquidity and sampling methods matter in constructing volatility indices? Empirical evidence from Taiwan," International Review of Economics & Finance, Elsevier, vol. 20(2), pages 312-324, April.
  18. Paul H. Kupiec, 1997. "Margin requirements, volatility, and market integrity: what have we learned since the crash?," Finance and Economics Discussion Series 1997-22, Board of Governors of the Federal Reserve System (U.S.).
  19. Kumar, Dilip & Maheswaran, S., 2014. "Modeling and forecasting the additive bias corrected extreme value volatility estimator," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 166-176.
  20. Francis X. Diebold & Kamil Yilmaz, 2010. "Better to Give than to Receive: Predictive Directional Measurement of Volatility Spillovers," Koç University-TUSIAD Economic Research Forum Working Papers 1001, Koc University-TUSIAD Economic Research Forum, revised Mar 2010.
  21. Torben G. Andersen & Tim Bollerslev, 1997. "Answering the Critics: Yes, ARCH Models Do Provide Good Volatility Forecasts," NBER Working Papers 6023, National Bureau of Economic Research, Inc.
  22. Fiszeder, Piotr & Perczak, Grzegorz, 2016. "Low and high prices can improve volatility forecasts during periods of turmoil," International Journal of Forecasting, Elsevier, vol. 32(2), pages 398-410.
  23. Kamil Yilmaz, 2009. "Business Cycle Spillovers," 2009 Meeting Papers 1079, Society for Economic Dynamics.
  24. James Foreman-Peck & Leslie Hannah, 2012. "Some Consequences of the Early Twentieth Century Divorce of Ownership from Control," Working Papers 0023, European Historical Economics Society (EHES).
  25. Todorova, Neda & Souček, Michael, 2014. "The impact of trading volume, number of trades and overnight returns on forecasting the daily realized range," Economic Modelling, Elsevier, vol. 36(C), pages 332-340.
  26. Narayan, Paresh Kumar & Mishra, Sagarika & Sharma, Susan & Liu, Ruipeng, 2013. "Determinants of stock price bubbles," Economic Modelling, Elsevier, vol. 35(C), pages 661-667.
  27. Fernández-Rodríguez, Fernando & Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2016. "Using connectedness analysis to assess financial stress transmission in EMU sovereign bond market volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 126-145.
  28. Koutmos, Dimitrios, 2016. "Distilling private information from plain-vanilla options to predict future underlying stock price volatility: Evidence from the H-shares of Chinese banks," Research in International Business and Finance, Elsevier, vol. 37(C), pages 391-405.
  29. Kao, Lie-Jane & Wu, Po-Cheng & Lee, Cheng-Few, 2012. "Time-changed GARCH versus the GARJI model for prediction of extreme news events: An empirical study," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 115-129.
  30. Neil Shephard, 2005. "Limit theorems for bipower variation in financial econometrics," Economics Series Working Papers 2005-FE-09, University of Oxford, Department of Economics.
  31. Schwert, G William, 1990. "Stock Volatility and the Crash of '87," Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 77-102.
  32. Degiannakis, Stavros & Livada, Alexandra, 2013. "Realized volatility or price range: Evidence from a discrete simulation of the continuous time diffusion process," Economic Modelling, Elsevier, vol. 30(C), pages 212-216.
  33. 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.
  34. Asai, Manabu & Brugal, Ivan, 2013. "Forecasting volatility via stock return, range, trading volume and spillover effects: The case of Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 202-213.
  35. Chung, Huimin & Sheu, Her-Jiun & Hsu, Shufang, 2010. "Trading platform, market volatility and pricing efficiency in the floor-traded and E-mini index futures markets," International Review of Economics & Finance, Elsevier, vol. 19(4), pages 742-754, October.
  36. Thierry Chauveau & Sylvain Friederich & Jérôme Héricourt & Emmanuel Jurczenko & Catherine Lubochinsky & Bertrand Maillet & Christophe Moussu & Bogdan Négréa & Hélène Raymond-Feingold, 2004. "La volatilité des marchés augmente-t-elle ?," Revue d'Économie Financière, Programme National Persée, vol. 74(1), pages 17-44.
  37. Vithessonthi, Chaiporn, 2014. "Monetary policy and the first- and second-moment exchange rate change during the global financial crisis: Evidence from Thailand," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 170-194.
  38. Leonardo Becchetti & Massimo Ferrari, 2013. "The impact of the French Tobin tax," Econometica Working Papers wp47, Econometica.
  39. Alex Frino & Elvis Jarnecic & Hui Zheng, 2010. "Activity in futures: does underlying market size relate to futures trading volume?," Review of Quantitative Finance and Accounting, Springer, vol. 34(3), pages 313-325, April.
  40. Mapa, Dennis S., 2003. "A Range-Based GARCH Model for Forecasting Volatility," MPRA Paper 21323, University Library of Munich, Germany.
  41. Liu, Hung-Chun & Chiang, Shu-Mei & Cheng, Nick Ying-Pin, 2012. "Forecasting the volatility of S&P depositary receipts using GARCH-type models under intraday range-based and return-based proxy measures," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 78-91.
  42. Mendiola, Alfredo, 2010. "Adr Effects On Domestic Latin Maerica Financial Market," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 15(28), pages 45-64.
  43. 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".
  44. Torben G. Andersen & Tim Bollerslev & Dobrislav Dobrev, 2007. "No-Arbitrage Semi-Martingale Restrictions for Continuous-Time Volatility Models subject to Leverage Effects, Jumps and i.i.d. Noise: Theory and Testable Distributional Implications," NBER Working Papers 12963, National Bureau of Economic Research, Inc.
  45. Huisman, Ronald & van der Sar, Nico L. & Zwinkels, Remco C.J., 2012. "A new measurement method of investor overconfidence," Economics Letters, Elsevier, vol. 114(1), pages 69-71.
  46. Chan, Yue-cheong, 2005. "Who trades in the stock index futures market when the underlying cash market is not trading?," Pacific-Basin Finance Journal, Elsevier, vol. 13(5), pages 547-561, November.
  47. L. C. G. Rogers & Fanyin Zhou, 2008. "Estimating correlation from high, low, opening and closing prices," Papers 0804.0162, arXiv.org.
  48. Vortelinos, Dimitrios I., 2016. "Incremental information of stock indicators," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 79-97.
  49. Brzeszczyński, Janusz & Lau, Chi Keung Marco, 2016. "Volatility spillovers across stock index futures in Asian markets: Evidence from range volatility estimatorsAuthor-Name: Yarovaya, Larisa," Finance Research Letters, Elsevier, vol. 17(C), pages 158-166.
  50. Galli, Fausto, 2014. "Stochastic conditonal range, a latent variable model for financial volatility," MPRA Paper 54841, University Library of Munich, Germany.
  51. Yu Chuan Huang & Pei Lin Tsai, 2008. "Effectiveness of Closing Call Auctions: Evidence from the Taiwan Stock Exchange," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 44(3), pages 5-20, May.
  52. repec:eco:journ1:2014-03-20 is not listed on IDEAS
  53. Irwin, Scott H. & Sanders, Dwight R., 2012. "Testing the Masters Hypothesis in commodity futures markets," Energy Economics, Elsevier, vol. 34(1), pages 256-269.
  54. Fernández-Rodríguez, Fernando & Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2015. "Volatility spillovers in EMU sovereign bond markets," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 337-352.
  55. Ncube, Mthuli, 1996. "Modelling implied volatility with OLS and panel data models," Journal of Banking & Finance, Elsevier, vol. 20(1), pages 71-84, January.
  56. Maheswaran, S. & Kumar, Dilip, 2013. "An automatic bias correction procedure for volatility estimation using extreme values of asset prices," Economic Modelling, Elsevier, vol. 33(C), pages 701-712.
  57. Cao, Charles & Chang, Eric C. & Wang, Ying, 2008. "An empirical analysis of the dynamic relationship between mutual fund flow and market return volatility," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2111-2123, October.
  58. 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 West - Nanterre la Défense, EconomiX.
  59. Christian T. Brownlees & Giampiero Gallo, 2008. "Comparison of Volatility Measures: a Risk Management Perspective," Econometrics Working Papers Archive wp2008_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
  60. 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.
  61. Richie, Nivine & Madura, Jeff, 2007. "Impact of the QQQ on liquidity and risk of the underlying stocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(3), pages 411-421, July.
  62. 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.
  63. Huang, MeiChi & Wu, Chih-Chiang & Liu, Shih-Min & Wu, Chang-Che, 2016. "Facts or fates of investors' losses during crises? Evidence from REIT-stock volatility and tail dependence structures," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 54-71.
  64. Matteo Luciani & David Veredas, . "A simple model for vast panels of volatilities," ULB Institutional Repository 2013/136239, ULB -- Universite Libre de Bruxelles.
  65. Rezania, Omid & Rachev, Svetlozar T. & Sun, Edward & Fabozzi, Frank J., 2010. "Analysis of the intraday effects of economic releases on the currency market," Working Paper Series in Economics 3, Karlsruhe Institute of Technology (KIT), Department of Economics and Business Engineering.
  66. Min Zhang & Adam W. Kolkiewicz & Tony S. Wirjanto & Xindan Li, 2013. "The Impacts of Financial Crisis on Sovereign Credit Risk Analysis in Asia and Europe," Working Paper Series 62_13, The Rimini Centre for Economic Analysis.
  67. 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".
  68. Michael W. Brandt & Francis X. Diebold, 2006. "A No-Arbitrage Approach to Range-Based Estimation of Return Covariances and Correlations," The Journal of Business, University of Chicago Press, vol. 79(1), pages 61-74, January.
  69. Matteo Barigozzi & Christian T. Brownlees & Giampiero M. Gallo & David Veredas, 2014. "Disentangling Systematic and Idiosyncratic Dynamics in Panels of Volatility Measures," Econometrics Working Papers Archive 2014_02, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Feb 2014.
  70. Chernov, Mikhail, 2007. "On the Role of Risk Premia in Volatility Forecasting," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 411-426, October.
  71. Taguedong, Sylvain Chamberlain, 2009. "Behavioral approach to market and default risks modeling," MPRA Paper 20641, University Library of Munich, Germany.
  72. Elena Andreou, 2004. "The Impact of Sampling Frequency and Volatility Estimators on Change-Point Tests," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 2(2), pages 290-318.
  73. Matteo Luciani & David Veredas, 2012. "A model for vast panels of volatilities," Working Papers 1230, Banco de España;Working Papers Homepage.
  74. repec:dau:papers:123456789/7689 is not listed on IDEAS
  75. Reboredo, Juan C., 2014. "Volatility spillovers between the oil market and the European Union carbon emission market," Economic Modelling, Elsevier, vol. 36(C), pages 229-234.
  76. José Valentim Machado Vicente & Gustavo Silva Araújo & Paula Baião Fisher De Castro & Felipe Noronha Tavares, 2014. "Assessing Day-To-Day Volatility: Doesthe Trading Time Matter?," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 130, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
  77. Griffiths, Mark D. & Winters, Drew B., 1995. "Day-of-the-week effects in federal funds rates: Further empirical findings," Journal of Banking & Finance, Elsevier, vol. 19(7), pages 1265-1284, October.
  78. Tsung-Yu Hsieh, 2015. "Information disclosure and price manipulation during the pre-closing session: evidence from an order-driven market," Applied Economics, Taylor & Francis Journals, vol. 47(43), pages 4670-4684, September.
  79. Asaf Bernstein & Eric Hughson & Marc D. Weidenmier, 2014. "Counterparty Risk and the Establishment of the New York Stock Exchange Clearinghouse," NBER Working Papers 20459, National Bureau of Economic Research, Inc.
  80. Laurent Deville & Fabrice Riva, 2007. "Liquidity and Arbitrage in Options Markets: A SurvivalAnalysis Approach," Post-Print halshs-00162221, HAL.
  81. Taylor, Stephen J. & Yadav, Pradeep K. & Zhang, Yuanyuan, 2010. "The information content of implied volatilities and model-free volatility expectations: Evidence from options written on individual stocks," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 871-881, April.
  82. Chan, Leo & Lien, Donald, 2003. "Using high, low, open, and closing prices to estimate the effects of cash settlement on futures prices," International Review of Financial Analysis, Elsevier, vol. 12(1), pages 35-47.
  83. Mixon, Scott, 2009. "Option markets and implied volatility: Past versus present," Journal of Financial Economics, Elsevier, vol. 94(2), pages 171-191, November.
  84. Bhaumik, S. & Karanasos, M. & Kartsaklas, A., 2016. "The informative role of trading volume in an expanding spot and futures market," Journal of Multinational Financial Management, Elsevier, vol. 35(C), pages 24-40.
  85. Vladimir Tsenkov, 2009. "Financial Markets Modelling," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 87-96.
  86. Alexander Saichev & Didier Sornette & Vladimir Filimonov & Fulvio Corsi, 2009. "Homogeneous Volatility Bridge Estimators," Papers 0912.1617, arXiv.org.
  87. Chan, Yue-Cheong, 2014. "How does retail sentiment affect IPO returns? Evidence from the internet bubble period," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 235-248.
  88. Kumar, Dilip, 2015. "Sudden changes in extreme value volatility estimator: Modeling and forecasting with economic significance analysis," Economic Modelling, Elsevier, vol. 49(C), pages 354-371.
  89. He, Angela W.W. & Kwok, Jerry T.K. & Wan, Alan T.K., 2010. "An empirical model of daily highs and lows of West Texas Intermediate crude oil prices," Energy Economics, Elsevier, vol. 32(6), pages 1499-1506, November.
  90. 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, 05.
  91. Martens, Martin, 2001. "Forecasting daily exchange rate volatility using intraday returns," Journal of International Money and Finance, Elsevier, vol. 20(1), pages 1-23, February.
  92. Cédric Okou & Éric Jacquier, 2014. "Horizon Effect in the Term Structure of Long-Run Risk-Return Trade-Offs," CIRANO Working Papers 2014s-36, CIRANO.
  93. Politis, Dimitris N & Thomakos, Dimitrios D, 2008. "NoVaS Transformations: Flexible Inference for Volatility Forecasting," University of California at San Diego, Economics Working Paper Series qt982208kx, Department of Economics, UC San Diego.
  94. repec:dau:papers:123456789/2200 is not listed on IDEAS
  95. Bannouh, K. & Martens, M.P.E. & van Dijk, D.J.C., 2012. "Forecasting Volatility with the Realized Range in the Presence of Noise and Non-Trading," ERIM Report Series Research in Management ERS-2012-018-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  96. Baruník, Jozef & Dvořáková, Sylvie, 2015. "An empirical model of fractionally cointegrated daily high and low stock market prices," Economic Modelling, Elsevier, vol. 45(C), pages 193-206.
  97. An-Sing Chen, 1997. "Volatility of exchange rate futures and high-low price spreads," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 21(1), pages 33-42, March.
  98. Kevin Sheppard & Lily Liu & Andrew J. Patton, 2013. "Does Anything Beat 5-Minute RV? A Comparison of Realized Measures Across Multiple Asset Classes," Economics Series Working Papers 645, University of Oxford, Department of Economics.
  99. Siddique, Akhtar R., 2003. "Common asset pricing factors in volatilities and returns in futures markets," Journal of Banking & Finance, Elsevier, vol. 27(12), pages 2347-2368, December.
  100. Anderson, Randy I. & Chen, Yi-Chi & Wang, Li-Min, 2015. "A range-based volatility approach to measuring volatility contagion in securitized real estate markets," Economic Modelling, Elsevier, vol. 45(C), pages 223-235.
  101. Neil Shephard & Ole E. Barndorff-Nielsen, 2005. "Variation, jumps, market frictions and high frequency data in financial econometrics," Economics Series Working Papers 240, University of Oxford, Department of Economics.
  102. Sharma, Susan Sunila & Narayan, Paresh Kumar & Zheng, Xinwei, 2014. "An analysis of firm and market volatility," Economic Systems, Elsevier, vol. 38(2), pages 205-220.
  103. David Bates & Roger Craine, 1998. "Valuing the Futures Market Clearinghouse's Default Exposure During the 1987 Crash," NBER Working Papers 6505, National Bureau of Economic Research, Inc.
  104. Chang, Eric C. & Luo, Xingguo & Shi, Lei & Zhang, Jin E., 2013. "Is warrant really a derivative? Evidence from the Chinese warrant market," Journal of Financial Markets, Elsevier, vol. 16(1), pages 165-193.
  105. Ronald Ripple & Imad A. Moosa, . "Crude Oil Futures Price Volatility: the Effect of Maturity, Trading Volume, and Open Interest on Range-Based Volatility," Energy and Environmental Modeling 2007 24000054, EcoMod.
  106. E. Dinenis & S. K. Staikouras, 1998. "Interest rate changes and common stock returns of financial institutions: evidence from the UK," The European Journal of Finance, Taylor & Francis Journals, vol. 4(2), pages 113-127.
  107. Hussain, Saiful Izzuan & Li, Steven, 2015. "Modeling the distribution of extreme returns in the Chinese stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 263-276.
  108. John M. Maheu & Thomas H. McCurdy, 2004. "News Arrival, Jump Dynamics, and Volatility Components for Individual Stock Returns," Journal of Finance, American Finance Association, vol. 59(2), pages 755-793, 04.
  109. Bollen, Bernard & Inder, Brett, 2002. "Estimating daily volatility in financial markets utilizing intraday data," Journal of Empirical Finance, Elsevier, vol. 9(5), pages 551-562, December.
  110. Duembgen, Moritz & Podolskij, Mark, 2015. "High-frequency asymptotics for path-dependent functionals of Itô semimartingales," Stochastic Processes and their Applications, Elsevier, vol. 125(4), pages 1195-1217.
  111. Alexander Saichev & Svetlana Lapinova, 2012. "Comparative statistics of Garman-Klass, Parkinson, Roger-Satchell and bridge estimators," Papers 1202.4311, arXiv.org.
  112. Celso Brunetti & Roberto S. Mariano & Chiara Scotti & Augustine H. H. Tan, 2007. "Markov switching GARCH models of currency turmoil in southeast Asia," International Finance Discussion Papers 889, Board of Governors of the Federal Reserve System (U.S.).
  113. Enrique Ter Horst & Abel Rodriguez & Henryk Gzyl & German Molina, 2012. "Stochastic volatility models including open, close, high and low prices," Quantitative Finance, Taylor & Francis Journals, vol. 12(2), pages 199-212, May.
  114. Frömmel, Michael & Han, Xing & Kratochvil, Stepan, 2014. "Modeling the daily electricity price volatility with realized measures," Energy Economics, Elsevier, vol. 44(C), pages 492-502.
  115. Chen, Cathy W.S. & Gerlach, Richard & Lin, Edward M.H., 2008. "Volatility forecasting using threshold heteroskedastic models of the intra-day range," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 2990-3010, February.
  116. Piotr Fiszeder & Grzegorz Perczak, 2013. "A new look at variance estimation based on low, high and closing prices taking into account the drift," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 67(4), pages 456-481, November.
  117. Michael J. Barclay & Terrence Hendershott & Kenneth Kotz, 2006. "Automation versus Intermediation: Evidence from Treasuries Going Off the Run," Journal of Finance, American Finance Association, vol. 61(5), pages 2395-2414, October.
  118. Galli, Fausto, 2014. "Stochastic conditonal range, a latent variable model for financial volatility," MPRA Paper 54030, University Library of Munich, Germany.
  119. Lena Boneva (Körber) & Oliver Linton & Michael Vogt, 2013. "The effect of fragmentation in trading on market quality in the UK equity market," CeMMAP working papers CWP42/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  120. Oliver Linton & Yoon-Jae Whang & Yu-Min Yen, 2013. "A nonparametric test of a strong leverage hypothesis," CeMMAP working papers CWP28/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  121. Hvozdyk, Lyudmyla & Rustanov, Serik, 2016. "The effect of financial transaction tax on market liquidity and volatility: An Italian perspective," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 62-78.
  122. Christiansen, Charlotte, 2005. "Decomposing European bond and equity volatility," Finance Research Group Working Papers F-2004-01, University of Aarhus, Aarhus School of Business, Department of Business Studies.
  123. Kumar, Dilip & Maheswaran, S., 2014. "A reflection principle for a random walk with implications for volatility estimation using extreme values of asset prices," Economic Modelling, Elsevier, vol. 38(C), pages 33-44.
  124. José Gonzalo Rangel, 2009. "Macroeconomic News, Announcements, and Stock Market Jump Intensity Dynamics," Working Papers 2009-15, Banco de México.
  125. Nardella, Michele, 2007. "Price efficiency and speculative trading in cocoa futures markets," 81st Annual Conference, April 2-4, 2007, Reading University 7970, Agricultural Economics Society.
  126. Rodrigo A. Alfaro & Carmen Gloria Silva, 2008. "Volatilidad de Indices Accionarios: El caso del IPSA," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 45(132), pages 217-233.
  127. Tomasz Skoczylas, 2014. "Modeling volatility with Range-based Heterogeneous Autoregressive Conditional Heteroskedasticity model," Working Papers 2014-06, Faculty of Economic Sciences, University of Warsaw.
  128. Cronin, David, 2014. "The interaction between money and asset markets: A spillover index approach," Journal of Macroeconomics, Elsevier, vol. 39(PA), pages 185-202.
  129. Nicholas Taylor, 2008. "The predictive value of temporally disaggregated volatility: evidence from index futures markets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(8), pages 721-742.
  130. repec:wyi:journl:002128 is not listed on IDEAS
  131. Claudeci Da Silva & Hugo Agudelo Murillo & Joaquim Miguel Couto, 2014. "Early Warning Systems: Análise De Ummodelo Probit De Contágio De Crise Dos Estados Unidos Para O Brasil(2000-2010)," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 110, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
  132. A. Khalifa & S. Hammoudeh & E. Otranto & S. Ramchander, 2012. "Volatility Transmission across Currency, Commodity and Equity Markets under Multi-Chain Regime Switching: Implications for Hedging and Portfolio Allocation," Working Paper CRENoS 201214, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
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