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Citations for "On the Estimation of Security Price Volatilities from Historical Data"

by Garman, Mark B & Klass, Michael J

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  1. Garvey, John & Gallagher, Liam A., 2013. "The economics of data: Using simple model-free volatility in a high-frequency world," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 370-379.
  2. 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.
  3. Alfaro, Rodrigo & Silva, Carmen Gloria, 2010. "Stock Index Volatility: the case of IPSA," MPRA Paper 25906, University Library of Munich, Germany, revised 31 Mar 2010.
  4. Diebold, Francis X. & Yilmaz, Kamil, 2008. "Measuring financial asset return and volatilty spillovers, with application to global equity markets," CFS Working Paper Series 2008/26, Center for Financial Studies (CFS).
  5. 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.
  6. Abel Rodriguez & Henryk Gzyl & German Molina & Enrique ter Horst, 2009. "Stochastic Volatility Models Including Open, Close, High and Low Prices," Papers 0901.1315, arXiv.org.
  7. M. Illueca & J. Lafuente, 2008. "Introducing the mini-futures contract on Ibex 35: implications for price discovery and volatility transmission," Spanish Economic Review, Springer, vol. 10(3), pages 197-219, September.
  8. Kamil Yilmaz, 2009. "Return and Volatility Spillovers among the East Asian Equity Markets," Koç University-TUSIAD Economic Research Forum Working Papers 0907, Koc University-TUSIAD Economic Research Forum.
  9. Herbert, John H, 1995. "Trading volume, maturity and natural gas futures price volatility," Energy Economics, Elsevier, vol. 17(4), pages 293-299, October.
  10. 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.
  11. 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.
  12. Christoffersen, Peter & Hahn, Jinyong & Inoue, Atsushi, 2001. "Testing and comparing Value-at-Risk measures," Journal of Empirical Finance, Elsevier, vol. 8(3), pages 325-342, July.
  13. Oh, Natalie Y. & Parwada, Jerry T., 2007. "Relations between mutual fund flows and stock market returns in Korea," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(2), pages 140-151, April.
  14. Kao, Erin H. & Fung, Hung-Gay, 2012. "Intraday trading activities and volatility in round-the-clock futures markets," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 195-209.
  15. Vicente Medina Martínez & Ángel Pardo Tornero, 2012. "Stylized facts of CO2 returns," Working Papers. Serie AD 2012-14, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  16. Karanasos, M. & Kartsaklas, A., 2009. "Dual long-memory, structural breaks and the link between turnover and the range-based volatility," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 838-851, December.
  17. Minenna, Marcello, 2003. "Insider trading, abnormal return and preferential information: Supervising through a probabilistic model," Journal of Banking & Finance, Elsevier, vol. 27(1), pages 59-86, January.
  18. Brian Lucey* School of Business and Institute for International Integration Studies,Trinity College Dublin Aleksandar Ševic, School of Business, Trinity College Dublin, 2009. "Investigating the Determinants of Banking Coexceedances in Europe in the Summer of 2008," The Institute for International Integration Studies Discussion Paper Series iiisdp301, IIIS.
  19. Bertrand B. Maillet & Jean-Philippe R. Médecin, 2010. "Extreme Volatilities, Financial Crises and L-moment Estimations of Tail-indexes," Working Papers 2010_10, Department of Economics, University of Venice "Ca' Foscari".
  20. An-Sing Chen, 1997. "Volatility of exchange rate futures and high-low price spreads," Journal of Economics and Finance, Springer, vol. 21(1), pages 33-42, March.
  21. 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.
  22. 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.
  23. 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.
  24. Nikkin L. Beronilla & Dennis S. Mapa, 2008. "Range-based models in estimating value-at-risk (VaR)," Philippine Review of Economics, University of the Philippines School of Economics and Philippine Economic Society, vol. 45(2), pages 87-99, December.
  25. Gerard L. Gannon, 2009. "Dispersion of Information or Market Behaviour: General Public Trading in S&P500 Index Futures," Accounting, Finance, Financial Planning and Insurance Series 2009_01, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
  26. Ray Chou & Chun-Chou Wu & Nathan Liu, 2009. "Forecasting time-varying covariance with a range-based dynamic conditional correlation model," Review of Quantitative Finance and Accounting, Springer, vol. 33(4), pages 327-345, November.
  27. Jason D. Mitchell & Li L. Ong, 2006. "Seasonalities in China's Stock Markets; Cultural or Structural?," IMF Working Papers 06/04, International Monetary Fund.
  28. 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.
  29. 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.
  30. Anthony Herbst, 2007. "Lunacy in the Stock Market—What is the Evidence?," Journal of Bioeconomics, Springer, vol. 9(1), pages 1-18, April.
  31. Chou, Ray Yeutien & Cai, Yijie, 2009. "Range-based multivariate volatility model with double smooth transition in conditional correlation," Global Finance Journal, Elsevier, vol. 20(2), pages 137-152.
  32. Hélène Raymond-Feingold & Bogdan Négréa & Christophe Moussu & Bertrand Maillet & Catherine Lubochinsky & Emmanuel Jurczenko & Jérôme Héricourt & Sylvain Friederich & Thierry Chauveau, 2004. "La volatilité des marchés augmente-t-elle ?," Revue d'Économie Financière, Programme National Persée, vol. 74(1), pages 17-44.
  33. Brian M Lucey and Alexander Eastman, 2008. "Comparing Garman-Klass and DU Volatility and Symmetry Measures in Intraday Futures Returns and Volumes: A Vector Autoregression Analysis," The Institute for International Integration Studies Discussion Paper Series iiisdp260, IIIS.
  34. Jozef Barunik & Evzen Kocenda & Lukas Vacha, 2014. "How does bad and good volatility spill over across petroleum markets?," Papers 1405.2445, arXiv.org.
  35. 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.
  36. 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.
  37. Owain Ap Gwilym & Mike Buckle, 1999. "Volatility forecasting in the framework of the option expiry cycle," The European Journal of Finance, Taylor & Francis Journals, vol. 5(1), pages 73-94.
  38. 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.
  39. Rodrigo Alfaro & Carmen Gloria Silva, 2008. "Measuring Equity Volatility: the case of Chilean Stock Index," Working Papers Central Bank of Chile 462, Central Bank of Chile.
  40. Ladislav Kristoufek, 2015. "Power-law correlations in finance-related Google searches, and their cross-correlations with volatility and traded volume: Evidence from the Dow Jones Industrial components," Papers 1502.00225, arXiv.org.
  41. C. Lucarelli & M. E. Bontempi & C. Mazzoli & A. G. Quaranta, 2009. "Pre-trade transparency on the Italian Stock Exchange: a trade size model on panel data," Working Papers 678, Dipartimento Scienze Economiche, Universita' di Bologna.
  42. Akio Hattori & Kentaro Kikuchi & Fuminori Niwa & Yoshihiko Uchida, 2014. "A Survey of Systemic Risk Measures: Methodology and Application to the Japanese Market," IMES Discussion Paper Series 14-E-03, Institute for Monetary and Economic Studies, Bank of Japan.
  43. 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.
  44. Tushar Rao & Saket Srivastava, 2012. "Modeling Movements in Oil, Gold, Forex and Market Indices using Search Volume Index and Twitter Sentiments," Papers 1212.1037, arXiv.org.
  45. 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.
  46. Difang Wan & Yang Yang & Dong Fang & Guang Yang, 2010. "Research on the margin of futures markets and the policy spillover effect," China Finance Review International, Emerald Group Publishing, vol. 1(1), pages 34-56, December.
  47. You, Leyuan & Daigler, Robert T., 2010. "Is international diversification really beneficial?," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 163-173, January.
  48. 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.
  49. Kim, Suk-Joong & Sheen, Jeffrey, 2001. "Minute-by-minute dynamics of the Australian bond futures market in response to new macroeconomic information," Journal of Multinational Financial Management, Elsevier, vol. 11(2), pages 117-137, April.
  50. Hou, Ai Jun & Suardi, Sandy, 2011. "Modelling and forecasting short-term interest rate volatility: A semiparametric approach," Journal of Empirical Finance, Elsevier, vol. 18(4), pages 692-710, September.
  51. Lam, K.P. & Ng, H.S., 2009. "Intra-daily information of range-based volatility for MEM-GARCH," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2625-2632.
  52. 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.
  53. 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.
  54. repec:eco:journ1:2014-03-19 is not listed on IDEAS
  55. Robert Ślepaczuk & Grzegorz Zakrzewski, 2009. "High-Frequency and Model-Free Volatility Estimators," Working Papers 2009-13, Faculty of Economic Sciences, University of Warsaw.
  56. 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.
  57. 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.
  58. 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.
  59. Fung, Hung-Gay & Patterson, Gary A., 1999. "Volatility linkage among currency futures markets during US trading and non-trading periods," Journal of Multinational Financial Management, Elsevier, vol. 9(2), pages 129-153, March.
  60. Chuang, Wen-I & Lee, Hsiu-Chuan, 2010. "The Impact of Short-Sales Constraints on Liquidity and the Liquidity-Return Relations," Pacific-Basin Finance Journal, Elsevier, vol. 18(5), pages 521-535, November.
  61. Prokopczuk, Marcel & Wese Simen, Chardin, 2014. "The importance of the volatility risk premium for volatility forecasting," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 303-320.
  62. Fabio Fornari, 1993. "Estimating variability in the Italian stock market: An ARCH approach," Open Economies Review, Springer, vol. 4(4), pages 403-423, December.
  63. Fiess, Norbert M & MacDonald, Ronald, 2002. "Towards the fundamentals of technical analysis: analysing the information content of High, Low and Close prices," Economic Modelling, Elsevier, vol. 19(3), pages 353-374, May.
  64. Cronin, David, 2014. "The interaction between money and asset markets: A spillover index approach," Journal of Macroeconomics, Elsevier, vol. 39(PA), pages 185-202.
  65. Giampiero M. Gallo & Yongmiao Hong & Tae-Why Lee, 2001. "Modelling the Impact of Overnight Surprises on Intra-daily Stock Returns," Econometrics Working Papers Archive wp2001_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
  66. 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.
  67. Narayan, Paresh Kumar & Mishra, Sagarika & Narayan, Seema, 2014. "Spread determinants and the day-of-the-week effect," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 51-60.
  68. Jonathan A. Batten & Cetin Ciner & Brian M. Lucey, 2014. "Which Precious Metals Spill Over on Which, When and Why? – Some Evidence," The Institute for International Integration Studies Discussion Paper Series iiisdp460, IIIS.
  69. Martens, Martin & van Dijk, Dick, 2007. "Measuring volatility with the realized range," Journal of Econometrics, Elsevier, vol. 138(1), pages 181-207, May.
  70. Mauricio Calani C., 2012. "Spillovers of the Credit Default Swap Market," Working Papers Central Bank of Chile 678, Central Bank of Chile.
  71. Gallo, Giampiero M. & Otranto, Edoardo, 2008. "Volatility spillovers, interdependence and comovements: A Markov Switching approach," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3011-3026, February.
  72. 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.
  73. 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.
  74. L. C. G. Rogers & Fanyin Zhou, 2008. "Estimating correlation from high, low, opening and closing prices," Papers 0804.0162, arXiv.org.
  75. Çankaya, Serkan & Eken, Hasan/M. & Ulusoy, Veysel, 2011. "The Impact of Short Selling on Intraday Volatility: Evidence from the Istanbul Stock Exchange," MPRA Paper 43658, University Library of Munich, Germany.
  76. repec:eco:journ1:2014-03-20 is not listed on IDEAS
  77. Brian M. Lucey & Charles Larkin & Fergal O'Connor, 2014. "Gold markets around the world - who spills over what, to whom, when?," Applied Economics Letters, Taylor & Francis Journals, vol. 21(13), pages 887-892, September.
  78. Lecce, Steven & Lepone, Andrew & McKenzie, Michael D. & Segara, Reuben, 2012. "The impact of naked short selling on the securities lending and equity market," Journal of Financial Markets, Elsevier, vol. 15(1), pages 81-107.
  79. 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.
  80. Çankaya, Serkan & Ulusoy, Veysel & Eken, Hasan/M., 2011. "The Behavior of Istanbul Stock Exchange Market: An Intraday Volatility/Return Analysis Approach," MPRA Paper 43656, University Library of Munich, Germany.
  81. Francis X. Diebold & Kamil Yilmaz, 2011. "Equity Market Spillovers in the Americas," Central Banking, Analysis, and Economic Policies Book Series, in: Rodrigo Alfaro (ed.), Financial Stability, Monetary Policy, and Central Banking, edition 1, volume 15, chapter 7, pages 199-214 Central Bank of Chile.
  82. Wang, Changyun, 2001. "The effect of net positions by type of trader on volatility in foreign currency futures markets," MPRA Paper 36428, University Library of Munich, Germany, revised Nov 2001.
  83. Eduardo Rossi & Paolo Santucci de Magistris, 2009. "A No Arbitrage Fractional Cointegration Analysis Of The Range Based Volatility," CREATES Research Papers 2009-31, School of Economics and Management, University of Aarhus.
  84. Alexander Saichev & Svetlana Lapinova, 2012. "Comparative statistics of Garman-Klass, Parkinson, Roger-Satchell and bridge estimators," Papers 1202.4311, arXiv.org.
  85. Vortelinos, Dimitrios I., 2014. "Optimally sampled realized range-based volatility estimators," Research in International Business and Finance, Elsevier, vol. 30(C), pages 34-50.
  86. 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.
  87. 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.
  88. Paresh Kumar Narayan & Sagarika Mishra, . "Determinants of Stock Price Bubbles," Financial Econometics Series 2013_06, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
  89. Andrew Patton, 2006. "Volatility Forecast Comparison using Imperfect Volatility Proxies," Research Paper Series 175, Quantitative Finance Research Centre, University of Technology, Sydney.
  90. 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.
  91. Christoffersen, Peter & Errunza, Vihang, 2000. "Towards a global financial architecture: capital mobility and risk management issues," Emerging Markets Review, Elsevier, vol. 1(1), pages 3-20, May.
  92. Alfonso Novales & J.A. Lafuente, 2002. "Optimal hedging under departures from the cost-of-carry valuation: evidence from the Spanish stock index futures market," Documentos de Trabajo del ICAE 0223, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
  93. 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.
  94. Chris Downing & Frank Zhang, 2002. "Trading activity and price volatility in the municipal bond market," Finance and Economics Discussion Series 2002-39, Board of Governors of the Federal Reserve System (U.S.).
  95. 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.
  96. Alexander Saichev & Didier Sornette & Vladimir Filimonov & Fulvio Corsi, 2009. "Homogeneous Volatility Bridge Estimators," Papers 0912.1617, arXiv.org.
  97. Cheng Lee & Gwo-Hshiung Tzeng & Shin-Yun Wang, 2005. "A Fuzzy Set Approach for Generalized CRR Model: An Empirical Analysis of S&P 500 Index Options," Review of Quantitative Finance and Accounting, Springer, vol. 25(3), pages 255-275, November.
  98. Lin, Chien-Chih, 2014. "Estimation accuracy of high–low spread estimator," Finance Research Letters, Elsevier, vol. 11(1), pages 54-62.
  99. Kumar, Dilip & Maheswaran, S., 2014. "A new approach to model and forecast volatility based on extreme value of asset prices," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 128-140.
  100. Groba, Jonatan & Lafuente, Juan A. & Serrano, Pedro, 2013. "The impact of distressed economies on the EU sovereign market," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2520-2532.
  101. 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.
  102. Fung, Hung-Gay & Patterson, Gary A., 1999. "The dynamic relationship of volatility, volume, and market depth in currency futures markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(1), pages 33-59, January.
  103. Emmanuel Bacry & Adrian Iuga & Matthieu Lasnier & Charles-Albert Lehalle, 2014. "Market impacts and the life cycle of investors orders," Papers 1412.0217, arXiv.org, revised Dec 2014.
  104. Andersen, Peter & Kim, Suk-Joong, 2011. "Intraday timing of AUD intervention by the Reserve Bank of Australia: Evidence from microstructural analyses," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(2), pages 277-295, April.
  105. Francis A. Longstaff & Jun Pan & Lasse H. Pedersen & Kenneth J. Singleton, 2007. "How Sovereign is Sovereign Credit Risk?," NBER Working Papers 13658, National Bureau of Economic Research, Inc.
  106. A. Saichev & D. Sornette, 2011. "Time-Bridge Estimators of Integrated Variance," Papers 1108.2611, arXiv.org.
  107. Vladimir Filimonov & Didier Sornette, 2014. "Power law scaling and "Dragon-Kings" in distributions of intraday financial drawdowns," Papers 1407.5037, arXiv.org, revised Apr 2015.
  108. Madarassy Akin, Rita, 2003. "Maturity Effects in Futures Markets: Evidence from Eleven Financial Futures Markets," Santa Cruz Department of Economics, Working Paper Series qt1n04g31b, Department of Economics, UC Santa Cruz.
  109. Gonzalo Cortazar & Alejandro Bernales & Diether Beuermann, 2005. "Methodology and Implementation of Value-at-Risk Measures in Emerging Fixed-Income Markets with Infrequent Trading," Finance 0512030, EconWPA.
  110. Kumar, Dilip & Maheswaran, S., 2013. "Detecting sudden changes in volatility estimated from high, low and closing prices," Economic Modelling, Elsevier, vol. 31(C), pages 484-491.
  111. Guo, Ming & Li, Zhan & Tu, Zhiyong, 2012. "A unique “T+1 trading rule” in China: Theory and evidence," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 575-583.
  112. Milan Bašta, 2012. "Wavelets and Estimation of Long Memory in Log Volatility and Time Series Perturbed by Noise," Acta Oeconomica Pragensia, University of Economics, Prague, vol. 2012(2), pages 3-20.
  113. 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.
  114. Lien, Donald & Tse, Yiu Kuen, 2006. "A survey on physical delivery versus cash settlement in futures contracts," International Review of Economics & Finance, Elsevier, vol. 15(1), pages 15-29.
  115. repec:hal:wpaper:hal-00687675 is not listed on IDEAS
  116. Awartani, Basel & Maghyereh, Aktham I. & Shiab, Mohammad Al, 2013. "Directional spillovers from the U.S. and the Saudi market to equities in the Gulf Cooperation Council countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 224-242.
  117. Filimonov, Vladimir & Bicchetti, David & Maystre, Nicolas & Sornette, Didier, 2014. "Quantification of the high level of endogeneity and of structural regime shifts in commodity markets," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 174-192.
  118. Ncube, Mthuli, 1996. "Modelling implied volatility with OLS and panel data models," Journal of Banking & Finance, Elsevier, vol. 20(1), pages 71-84, January.
  119. Chien, Cheng-Yi & Lee, Hsiu-Chuan & Tai, Shih-Wen & Liao, Tzu-Hsiang, 2013. "Information, hedging demand, and institutional investors: Evidence from the Taiwan Futures Exchange," Journal of Multinational Financial Management, Elsevier, vol. 23(5), pages 394-414.
  120. Lyócsa, Štefan, 2014. "Growth-returns nexus: Evidence from three Central and Eastern European countries," Economic Modelling, Elsevier, vol. 42(C), pages 343-355.
  121. 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.
  122. Dorfleitner, Gregor & Klein, Christian, 2009. "Psychological barriers in European stock markets: Where are they?," Global Finance Journal, Elsevier, vol. 19(3), pages 268-285.
  123. Christensen, Kim & Podolskij, Mark, 2007. "Realized range-based estimation of integrated variance," Journal of Econometrics, Elsevier, vol. 141(2), pages 323-349, December.
  124. Ripple, Ronald D. & Moosa, Imad A., 2009. "The effect of maturity, trading volume, and open interest on crude oil futures price range-based volatility," Global Finance Journal, Elsevier, vol. 20(3), pages 209-219.
  125. Taguedong, Sylvain Chamberlain, 2009. "Behavioral approach to market and default risks modeling," MPRA Paper 20641, University Library of Munich, Germany.
  126. 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.
  127. Robert Azencott & Yutheeka Gadhyan & Roland Glowinski, 2014. "Option Pricing Accuracy for Estimated Heston Models," Papers 1404.4014, arXiv.org.
  128. Birru, Justin & Figlewski, Stephen, 2012. "Anatomy of a meltdown: The risk neutral density for the S&P 500 in the fall of 2008," Journal of Financial Markets, Elsevier, vol. 15(2), pages 151-180.
  129. Ladislav Kristoufek, 2014. "Leverage effect in energy futures," Papers 1403.0064, arXiv.org.
  130. Lagoarde-Segot, Thomas, 2013. "Does stock market development always improve firm-level financing? Evidence from Tunisia," Research in International Business and Finance, Elsevier, vol. 27(1), pages 183-208.
  131. Jonatan Groba & Juan Ángel Lafuente & Pedro Serrano, 2014. "On the compensation for illiquidity in sovereign credit markets," Business Economics Working Papers wb142911, Universidad Carlos III, Departamento de Economía de la Empresa.
  132. Sergey S. Stepanov, 2009. "Resilience of Volatility," Papers 0911.5048, arXiv.org.
  133. Tse, Yiuman & Devos, Erik, 2004. "Trading costs, investor recognition and market response: An analysis of firms that move from the Amex (Nasdaq) to Nasdaq (Amex)," Journal of Banking & Finance, Elsevier, vol. 28(1), pages 63-83, January.
  134. Nelson, Daniel B., 1996. "Asymptotic filtering theory for multivariate ARCH models," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 1-47.
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