IDEAS home Printed from https://ideas.repec.org/f/pbo695.html
   My authors  Follow this author

Bernard Eugene Bollen

Personal Details

First Name:Bernard
Middle Name:Eugene
Last Name:Bollen
Suffix:
RePEc Short-ID:pbo695
[This author has chosen not to make the email address public]
http://www.une.edu.au/staff/bbollen.php
Terminal Degree:2000 Department of Econometrics and Business Statistics; Monash Business School; Monash University (from RePEc Genealogy)

Affiliation

(50%) School of Economics
Business School
University of New England

Armidale, Australia
http://www.une.edu.au/about-une/academic-schools/une-business-school/study-areas/economics
RePEc:edi:deuneau (more details at EDIRC)

(50%) Business School
University of New England

Armidale, Australia
http://www.une.edu.au/about-une/academic-schools/une-business-school
RePEc:edi:feuneau (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Bernard Bollen & Brett Inder, 1999. "Estimating Daily Volatility in Financial Markets Utilizing Intraday Data," Working Papers 1999.01, School of Economics, La Trobe University.
  2. Bollen, B. & Inder, B., 1998. "A General Volatility Framework and the Generalised Historical Volatility Estimator," Monash Econometrics and Business Statistics Working Papers 10/98, Monash University, Department of Econometrics and Business Statistics.
  3. Bollen, B. & Kofman, P., 1996. "Estimating Daily Volatility from Intraday Data," Monash Econometrics and Business Statistics Working Papers 13/96, Monash University, Department of Econometrics and Business Statistics.

Articles

  1. Bernard Bollen & Philip Gharghori, 2016. "How is β related to asset returns?," Applied Economics, Taylor & Francis Journals, vol. 48(21), pages 1925-1935, May.
  2. Bernard Bollen & Michael Skully & David Tripe & Xiaoting Wei, 2015. "The Global Financial Crisis and Its Impact on Australian Bank Risk," International Review of Finance, International Review of Finance Ltd., vol. 15(1), pages 89-111, March.
  3. Bernard Bollen, 2015. "What should the value of lambda be in the exponentially weighted moving average volatility model?," Applied Economics, Taylor & Francis Journals, vol. 47(8), pages 853-860, February.
  4. Valadkhani, Abbas & Bollen, Bernard, 2013. "An alternative approach to the modelling of interest rate pass through and asymmetric adjustment," Economics Letters, Elsevier, vol. 120(3), pages 491-494.
  5. 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.
  6. Moosa, Imad A. & Bollen, Bernard, 2002. "A benchmark for measuring bias in estimated daily value at risk," International Review of Financial Analysis, Elsevier, vol. 11(1), pages 85-100.
  7. Imad Moosa & Bernard Bollen, 2001. "Is there a maturity effect in the price of the S&P 500 futures contract?," Applied Economics Letters, Taylor & Francis Journals, vol. 8(11), pages 693-695.
    RePEc:taf:apfiec:v:20:y:2010:i:15:p:1231-1240 is not listed on IDEAS
    RePEc:taf:apfiec:v:19:y:2009:i:19:p:1573-1579 is not listed on IDEAS
    RePEc:taf:apfelt:v:4:y:2008:i:6:p:403-407 is not listed on IDEAS

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Bernard Bollen & Brett Inder, 1999. "Estimating Daily Volatility in Financial Markets Utilizing Intraday Data," Working Papers 1999.01, School of Economics, La Trobe University.

    Cited by:

    1. Nielsen, Morten Ørregaard & Frederiksen, Per, 2008. "Finite sample accuracy and choice of sampling frequency in integrated volatility estimation," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 265-286, March.
    2. Xilong Chen & Eric Ghysels, 2011. "News--Good or Bad--and Its Impact on Volatility Predictions over Multiple Horizons," The Review of Financial Studies, Society for Financial Studies, vol. 24(1), pages 46-81, October.
    3. Tim Bollerslev & Uta Kretschmer & Christian Pigorsch & George Tauchen, 2010. "A Discrete-Time Model for Daily S&P500 Returns and Realized Variations: Jumps and Leverage Effects," Working Papers 10-06, Duke University, Department of Economics.
    4. Kim Christensen & Roel Oomen & Mark Podolskij, 2009. "Realised Quantile-Based Estimation of the Integrated Variance," CREATES Research Papers 2009-27, Department of Economics and Business Economics, Aarhus University.
    5. 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.
    6. Bertrand Maillet & Jean-Philippe Médecin & Thierry Michel, 2009. "High Watermarks of Market Risks," Post-Print halshs-00425585, HAL.
    7. J. Coulon & Y. Malevergne, 2011. "Heterogeneous expectations and long-range correlation of the volatility of asset returns," Quantitative Finance, Taylor & Francis Journals, vol. 11(9), pages 1329-1356, November.
    8. Peter Reinhard Hansen & Asger Lunde, 2005. "A Realized Variance for the Whole Day Based on Intermittent High-Frequency Data," Journal of Financial Econometrics, Oxford University Press, vol. 3(4), pages 525-554.
    9. Jiang, Zhi-Qiang & Zhou, Wei-Xing, 2007. "Scale invariant distribution and multifractality of volatility multipliers in stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 381(C), pages 343-350.
    10. Ozcan Ceylan, 2015. "Limited information-processing capacity and asymmetric stock correlations," Quantitative Finance, Taylor & Francis Journals, vol. 15(6), pages 1031-1039, June.
    11. Ole E Barndorff-Nielsen & Peter Hansen & Asger Lunde & Neil Shephard, 2006. "Designing realised kernels to measure the ex-post variation of equity prices in the presence of noise," OFRC Working Papers Series 2006fe05, Oxford Financial Research Centre.
    12. Yang, Ann Shawing, 2016. "Calendar trading of Taiwan stock market: A study of holidays on trading detachment and interruptions," Emerging Markets Review, Elsevier, vol. 28(C), pages 140-154.
    13. Wei-Xing Zhou, 2009. "Finite-size effect and the components of multifractality in financial volatility," Papers 0912.4782, arXiv.org.
    14. Thomas Dimpfl & Stephan Jank, 2016. "Can Internet Search Queries Help to Predict Stock Market Volatility?," European Financial Management, European Financial Management Association, vol. 22(2), pages 171-192, March.
    15. Andersen, Torben G. & Bollerslev, Tim & Francis X. Diebold,, 2003. "Some Like it Smooth, and Some Like it Rough: Untangling Continuous and Jump Components in Measuring, Modeling, and Forecasting Asset Return Volatility," CFS Working Paper Series 2003/35, Center for Financial Studies (CFS).
    16. Thomas Dimpfl & Robert Jung, 2011. "Financial market spillovers around the globe," Global Financial Markets Working Paper Series 20-2011, Friedrich-Schiller-University Jena.
    17. Fei Ren & Gao-Feng Gu & Wei-Xing Zhou, 2009. "Scaling and memory in the return intervals of realized volatility," Papers 0904.1107, arXiv.org, revised Aug 2009.
    18. Aktas, Osman Ulas & Kryzanowski, Lawrence & Zhang, Jie, 2021. "Volatility spillover around price limits in an emerging market," Finance Research Letters, Elsevier, vol. 39(C).
    19. Bjursell, Johan & Frino, Alex & Tse, Yiuman & Wang, George H.K., 2010. "Volatility and trading activity following changes in the size of futures contracts," Journal of Empirical Finance, Elsevier, vol. 17(5), pages 967-980, December.
    20. Marcelo C. Carvalho & Marco Aurélio S. Freire & Marcelo Cunha Medeiros & Leonardo R. Souza, 2006. "Modeling and Forecasting the Volatility of Brazilian Asset Returns: a Realized Variance Approach," Brazilian Review of Finance, Brazilian Society of Finance, vol. 4(1), pages 55-77.
    21. MArcelo Carvalho & MArco Aurelio Freire & Marcelo Cunha Medeiros & Leonardo Souza, 2006. "Modeling and forecasting the volatility of Brazilian asset returns," Textos para discussão 530, Department of Economics PUC-Rio (Brazil).
    22. Vortelinos, Dimitrios I., 2014. "Optimally sampled realized range-based volatility estimators," Research in International Business and Finance, Elsevier, vol. 30(C), pages 34-50.
    23. Dewandaru, Ginanjar & Masih, Rumi & Bacha, Obiyathulla Ismath & Masih, A. Mansur. M., 2015. "Developing trading strategies based on fractal finance: An application of MF-DFA in the context of Islamic equities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 223-235.
    24. Zhi-Qiang Jiang & Askery A. Canabarro & Boris Podobnik & H. Eugene Stanley & Wei-Xing Zhou, 2015. "Early warning of large volatilities based on recurrence interval analysis in Chinese stock markets," Papers 1508.07505, arXiv.org.
    25. Chao Zhang & Yihuang Zhang & Mihai Cucuringu & Zhongmin Qian, 2022. "Volatility forecasting with machine learning and intraday commonality," Papers 2202.08962, arXiv.org, revised Feb 2023.
    26. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2007. "Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 701-720, November.
    27. Molnár, Peter, 2012. "Properties of range-based volatility estimators," International Review of Financial Analysis, Elsevier, vol. 23(C), pages 20-29.
    28. Michael McAleer & Marcelo Medeiros, 2008. "Realized Volatility: A Review," Econometric Reviews, Taylor & Francis Journals, vol. 27(1-3), pages 10-45.
    29. Marine Carrasco & Rachidi Kotchoni, 2015. "Adaptive Realized Kernels," Journal of Financial Econometrics, Oxford University Press, vol. 13(4), pages 757-797.
    30. Damien Lynch & Nikolaos Panigirtzoglou, 2004. "Option Implied and Realised Measures of Variance," Money Macro and Finance (MMF) Research Group Conference 2004 94, Money Macro and Finance Research Group.
    31. 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.
    32. Mu, Guo-Hua & Zhou, Wei-Xing, 2008. "Relaxation dynamics of aftershocks after large volatility shocks in the SSEC index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5211-5218.
    33. Jim Griffin & Jia Liu & John M. Maheu, 2021. "Bayesian Nonparametric Estimation of Ex Post Variance [Out of Sample Forecasts of Quadratic Variation]," Journal of Financial Econometrics, Oxford University Press, vol. 19(5), pages 823-859.
    34. Andersen, Torben G. & Bollerslev, Tim & Dobrev, Dobrislav, 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," Journal of Econometrics, Elsevier, vol. 138(1), pages 125-180, May.
    35. Hansson, Fredrik & Rüdow Fors, Erik, 2009. "Get Shorty? - Market Impact of the 2008-09 U.K. Short Selling Ban," Working Papers in Economics 365, University of Gothenburg, Department of Economics.
    36. 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.
    37. Nikkinen, Jussi & Rothovius, Timo, 2019. "Market specific seasonal trading behavior in NASDAQ OMX electricity options," Journal of Commodity Markets, Elsevier, vol. 13(C), pages 16-29.
    38. Rizvi, Syed Aun R. & Dewandaru, Ginanjar & Bacha, Obiyathulla I. & Masih, Mansur, 2014. "An analysis of stock market efficiency: Developed vs Islamic stock markets using MF-DFA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 407(C), pages 86-99.
    39. Amir Safari & Detlef Seese, 2010. "Behavior of realized volatility and correlation in exchange markets," International Econometric Review (IER), Econometric Research Association, vol. 2(2), pages 73-96, September.
    40. 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).
    41. Hansen, Peter R. & Lunde, Asger, 2006. "Realized Variance and Market Microstructure Noise," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 127-161, April.
    42. Andrea BUCCI, 2017. "Forecasting Realized Volatility A Review," Journal of Advanced Studies in Finance, ASERS Publishing, vol. 8(2), pages 94-138.
    43. Chen Xilong & Ghysels Eric & Wang Fangfang, 2011. "HYBRID GARCH Models and Intra-Daily Return Periodicity," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-28, February.
    44. Staer, Arsenio & Sottile, Pedro, 2018. "Equivalent volume and comovement," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 143-157.
    45. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, November.
    46. Ewald, Christian & Zou, Yihan, 2021. "Stochastic volatility: A tale of co-jumps, non-normality, GMM and high frequency data," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 37-52.
    47. John W. Galbraith & Liam Cheung, 2013. "Forecasting financial volatility with combined QML and LAD-ARCH estimators of the GARCH model," CIRANO Working Papers 2013s-19, CIRANO.
    48. Kangogo, Moses & Volkov, Vladimir, 2022. "Detecting signed spillovers in global financial markets: A Markov-switching approach," International Review of Financial Analysis, Elsevier, vol. 82(C).
    49. Binh Nguyen Thanh & Thai Nguyen Vu Hong & Huy Pham & Thanh Nguyen Cong & Thu Pham Thi Anh, 2023. "Are the stabilities of stablecoins connected?," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(3), pages 515-525, September.
    50. Ole E. Barndorff-Nielsen & Peter Reinhard Hansen & Asger Lunde & Neil Shephard, 2004. "Regular and Modified Kernel-Based Estimators of Integrated Variance: The Case with Independent Noise," OFRC Working Papers Series 2004fe20, Oxford Financial Research Centre.
    51. Reschenhofer, Erhard & Mangat, Manveer Kaur & Stark, Thomas, 2020. "Volatility forecasts, proxies and loss functions," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 133-153.
    52. Christensen, Kim & Podolskij, Mark, 2007. "Realized range-based estimation of integrated variance," Journal of Econometrics, Elsevier, vol. 141(2), pages 323-349, December.
    53. 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.
    54. Bertrand B. Maillet & Jean-Philippe R. M�decin, 2010. "Extreme Volatilities, Financial Crises and L-moment Estimations of Tail-indexes," Working Papers 2010_10, Department of Economics, University of Venice "Ca' Foscari".
    55. Asger Lunde & Peter Reinhard Hansen, 2004. "Realized Variance and IID Market Microstructure Noise," Econometric Society 2004 North American Summer Meetings 526, Econometric Society.
    56. Vortelinos, Dimitrios I. & Thomakos, Dimitrios D., 2013. "Nonparametric realized volatility estimation in the international equity markets," International Review of Financial Analysis, Elsevier, vol. 28(C), pages 34-45.

  2. Bollen, B. & Inder, B., 1998. "A General Volatility Framework and the Generalised Historical Volatility Estimator," Monash Econometrics and Business Statistics Working Papers 10/98, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. John W. Galbraith & Victoria Zinde-Walsh, 2001. "Properties of Estimates of Daily GARCH Parameters Basaed on Intra-Day Observations," CIRANO Working Papers 2001s-15, CIRANO.
    2. Moosa, Imad A. & Bollen, Bernard, 2002. "A benchmark for measuring bias in estimated daily value at risk," International Review of Financial Analysis, Elsevier, vol. 11(1), pages 85-100.

Articles

  1. Bernard Bollen & Philip Gharghori, 2016. "How is β related to asset returns?," Applied Economics, Taylor & Francis Journals, vol. 48(21), pages 1925-1935, May.

    Cited by:

    1. Mats Wilhelmsson & Jianyu Zhao, 2018. "Risk Assessment of Housing Market Segments: The Lender’s Perspective," JRFM, MDPI, vol. 11(4), pages 1-22, October.
    2. Valadkhani, Abbas, 2022. "Do large-cap exchange-traded funds perform better than their small-cap counterparts in extreme market conditions?☆," Global Finance Journal, Elsevier, vol. 53(C).

  2. Bernard Bollen & Michael Skully & David Tripe & Xiaoting Wei, 2015. "The Global Financial Crisis and Its Impact on Australian Bank Risk," International Review of Finance, International Review of Finance Ltd., vol. 15(1), pages 89-111, March.

    Cited by:

    1. Luong, Thi Mai & Pieters, Russell & Scheule, Harald & Wu, Eliza, 2020. "The impact of government guarantees on banks' wholesale funding costs and lending behavior: Evidence from a natural experiment," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    2. Rahman, Md Lutfur & Troster, Victor & Uddin, Gazi Salah & Yahya, Muhammad, 2022. "Systemic risk contribution of banks and non-bank financial institutions across frequencies: The Australian experience," International Review of Financial Analysis, Elsevier, vol. 79(C).
    3. Mamiza Haq & Necmi K. Avkiran & Amine Tarazi, 2019. "Does market discipline impact bank charter value? The case for Australia and Canada," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(1), pages 253-276, March.
    4. Casavecchia, Lorenzo & Loudon, Geoffrey F. & Wu, Eliza, 2018. "What moves benchmark money market rates? Evidence from the BBSW market," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 137-154.
    5. Necmi K. Avkiran & Yushu Zhu & David W. L. Tripe & Kathleen Walsh, 2017. "Can foreign banks compete in China?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(4), pages 961-980, December.
    6. Seza Danışoğlu & Z. Nuray Güner & Hande Ayaydın Hacıömeroğlu, 2018. "International Evidence on Risk Taking by Banks Around the Global Financial Crisis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(9), pages 1946-1962, July.
    7. Thi Mai Luong, 2020. "Selection Effects of Lender and Borrower Choices on Risk Measurement, Management and Prudential Regulation," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 3-2020, January-A.
    8. Necmi Kemal Avkiran & Lin Mi, 2017. "The Rising Systemic Importance of Chinese Banks: Should the World Be Concerned?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 50(4), pages 427-440, December.
    9. Linnenluecke, Martina K. & Chen, Xiaoyan & Ling, Xin & Smith, Tom & Zhu, Yushu, 2016. "Emerging trends in Asia-Pacific finance research: A review of recent influential publications and a research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 66-76.

  3. Bernard Bollen, 2015. "What should the value of lambda be in the exponentially weighted moving average volatility model?," Applied Economics, Taylor & Francis Journals, vol. 47(8), pages 853-860, February.

    Cited by:

    1. Andrey Shternshis & Piero Mazzarisi & Stefano Marmi, 2022. "Efficiency of the Moscow Stock Exchange before 2022," Papers 2207.10476, arXiv.org, revised Jul 2022.
    2. Jin, Yan & Gardebroek, Cornelis & Heerink, Nico, 2023. "The Impact of Chinese Rice Support Policies on Rice Acreages," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334550, Agricultural Economics Society - AES.
    3. Axel A. Araneda, 2021. "Asset volatility forecasting:The optimal decay parameter in the EWMA model," Papers 2105.14382, arXiv.org.
    4. Jean-Christophe Delfim & Martin Hoesli, 2019. "Robust Desmoothed Real Estate Returns," Swiss Finance Institute Research Paper Series 19-32, Swiss Finance Institute.
    5. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar & Wolfgang Schmid & Anil K. Bera, 2023. "Spatial and Spatiotemporal Volatility Models: A Review," Papers 2308.13061, arXiv.org.
    6. Jin, Yan & Gardebroek, Cornelis & Heerink, Nico, 2021. "Price Responsiveness of Rice Farmers and the Probability of Effective Grain Support Policies in China," 2021 Conference, August 17-31, 2021, Virtual 315097, International Association of Agricultural Economists.
    7. Konstantinos Bisiotis & Stelios Psarakis & Athanasios N. Yannacopoulos, 2022. "Affine Term Structure Models: Applications in Portfolio Optimization and Change Point Detection," Mathematics, MDPI, vol. 10(21), pages 1-33, November.

  4. Valadkhani, Abbas & Bollen, Bernard, 2013. "An alternative approach to the modelling of interest rate pass through and asymmetric adjustment," Economics Letters, Elsevier, vol. 120(3), pages 491-494.

    Cited by:

    1. Valadkhani, Abbas & Worthington, Andrew, 2014. "Asymmetric behavior of Australia's Big-4 banks in the mortgage market," Economic Modelling, Elsevier, vol. 43(C), pages 57-66.
    2. Valadkhani, Abbas, 2014. "Analysing interest rate mark-ups in the Australian mortgage market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 343-361.
    3. Bennouna, Hicham, 2019. "Interest rate pass-through in Morocco: Evidence from bank-level survey data," Economic Modelling, Elsevier, vol. 80(C), pages 142-157.
    4. Heinzelmann Ludwig & Missong Martin, 2020. "Nonlinear interest rate-setting behaviour of German commercial banks," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(3), pages 1-28, June.
    5. Abbas Valadkhani & George Chen & Bernice Kotey, 2014. "Asymmetric changes in Australia’s small business loan rate," Small Business Economics, Springer, vol. 43(4), pages 945-957, December.

  5. 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.
    See citations under working paper version above.
  6. Moosa, Imad A. & Bollen, Bernard, 2002. "A benchmark for measuring bias in estimated daily value at risk," International Review of Financial Analysis, Elsevier, vol. 11(1), pages 85-100.

    Cited by:

    1. Bernard Bollen, 2015. "What should the value of lambda be in the exponentially weighted moving average volatility model?," Applied Economics, Taylor & Francis Journals, vol. 47(8), pages 853-860, February.
    2. Bernard Bollen & Brett Inder, 1999. "Estimating Daily Volatility in Financial Markets Utilizing Intraday Data," Working Papers 1999.01, School of Economics, La Trobe University.
    3. Mendes, Beatriz Vaz de Melo & Accioly, Victor Bello, 2012. "On the dependence structure of realized volatilities," International Review of Financial Analysis, Elsevier, vol. 22(C), pages 1-9.
    4. Stelios Bekiros & Nikolaos Loukeris & Iordanis Eleftheriadis & Christos Avdoulas, 2019. "Tail-Related Risk Measurement and Forecasting in Equity Markets," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 783-816, February.
    5. Ané, Thierry & Métais, Carole, 2009. "The distribution of realized variances: Marginal behaviors, asymmetric dependence and contagion effects," International Review of Financial Analysis, Elsevier, vol. 18(3), pages 134-150, June.
    6. Rupika Khanna & Chandan Sharma & Abhay Pant, 2022. "COVID-19, firm characteristics and stock volatility: new evidence from the Indian tourism sector," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 19(6), pages 1563-1585, October.
    7. Chrétien, Stéphane & Coggins, Frank, 2010. "Performance and conservatism of monthly FHS VaR: An international investigation," International Review of Financial Analysis, Elsevier, vol. 19(5), pages 323-333, December.
    8. Zmeskal, Zdenek, 2005. "Value at risk methodology of international index portfolio under soft conditions (fuzzy-stochastic approach)," International Review of Financial Analysis, Elsevier, vol. 14(2), pages 263-275.
    9. Bertrand B. Maillet & Jean-Philippe R. M�decin, 2010. "Extreme Volatilities, Financial Crises and L-moment Estimations of Tail-indexes," Working Papers 2010_10, Department of Economics, University of Venice "Ca' Foscari".

  7. Imad Moosa & Bernard Bollen, 2001. "Is there a maturity effect in the price of the S&P 500 futures contract?," Applied Economics Letters, Taylor & Francis Journals, vol. 8(11), pages 693-695.

    Cited by:

    1. 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.
    2. Liu, 2014. "Do futures prices exhibit maturity effect? A nonparametric revisit," Applied Economics, Taylor & Francis Journals, vol. 46(8), pages 813-825, March.
    3. Bernard Bollen & Brett Inder, 1999. "Estimating Daily Volatility in Financial Markets Utilizing Intraday Data," Working Papers 1999.01, School of Economics, La Trobe University.
    4. Saurabh Gupta & Prabina Rajib, 2012. "Samuelson Hypothesis & Indian Commodity Derivatives Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 19(4), pages 331-352, November.
    5. Sania Wadud & Robert D. Durand & Marc Gronwald, 2021. "Connectedness between the Crude Oil Futures and Equity Markets during the Pre- and Post-Financialisation Eras," CESifo Working Paper Series 9202, CESifo.
    6. Toshiko Matsui & Ali Al-Ali & William J. Knottenbelt, 2022. "On the Dynamics of Solid, Liquid and Digital Gold Futures," Papers 2202.09845, arXiv.org.
    7. Guido Russi, 2012. "Estimating the Leverage Effect Using High Frequency Data," Review of Economics & Finance, Better Advances Press, Canada, vol. 2, pages 1-24, February.
    8. Loïc Maréchal, 2021. "Do economic variables forecast commodity futures volatility?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(11), pages 1735-1774, November.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Bernard Eugene Bollen should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.