Tim Krehbiel

Personal Details

First Name:	Tim
Middle Name:
Last Name:	Krehbiel
Suffix:
RePEc Short-ID:	pkr333

Affiliation

Department of Finance
Spears School of Business
Oklahoma State University

Stillwater, Oklahoma (United States)
http://business.okstate.edu/finance
RePEc:edi:dfoksus (more details at EDIRC)

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.

Articles

1. Weiping Li & Tim Krehbiel, 2016. "An Improved Approach To Evaluate Default Probabilities And Default Correlations With Consistency," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(05), pages 1-29, August.

   Cited by:

   1. Anton van Dyk & Gary van Vuuren, 2023. "Measurement and Calibration of Regulatory Credit Risk Asset Correlations," JRFM, MDPI, vol. 16(9), pages 1-19, September.
   2. Weiping Li, 2016. "Probability of Default and Default Correlations," JRFM, MDPI, vol. 9(3), pages 1-19, July.

2. Câmara, António & Krehbiel, Tim & Li, Weiping, 2011. "Expected returns, risk premia, and volatility surfaces implicit in option market prices," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 215-230, January.

   Cited by:

   1. Peter K. Friz & Paul Gassiat & Paolo Pigato, 2022. "Short-dated smile under rough volatility: asymptotics and numerics," Quantitative Finance, Taylor & Francis Journals, vol. 22(3), pages 463-480, March.
      • Peter K. Friz & Paul Gassiat & Paolo Pigato, 2020. "Short dated smile under Rough Volatility: asymptotics and numerics," Papers 2009.08814, arXiv.org, revised Sep 2021.
   2. Ederington, Louis H. & Guan, Wei, 2013. "The cross-sectional relation between conditional heteroskedasticity, the implied volatility smile, and the variance risk premium," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3388-3400.
   3. Oliver X. Li & Weiping Li, 2015. "Hedging jump risk, expected returns and risk premia in jump-diffusion economies," Quantitative Finance, Taylor & Francis Journals, vol. 15(5), pages 873-888, May.

3. Krehbiel, Tim & Adkins, Lee C., 2008. "Extreme daily changes in U.S. Dollar London inter-bank offer rates," International Review of Economics & Finance, Elsevier, vol. 17(3), pages 397-411.

   Cited by:

   1. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
   2. Olson, Eric & Miller, Scott & Wohar, Mark E., 2012. "“Black Swans” before the “Black Swan” evidence from international LIBOR–OIS spreads," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1339-1357.
   3. Saralees Nadarajah & Bo Zhang & Stephen Chan, 2014. "Estimation methods for expected shortfall," Quantitative Finance, Taylor & Francis Journals, vol. 14(2), pages 271-291, February.

4. Tim Krehbiel & Lee C. Adkins, 2005. "Price risk in the NYMEX energy complex: An extreme value approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 25(4), pages 309-337, April.

   Cited by:

   1. Zi‐Yi Guo, 2020. "Stochastic multifactor models in risk management of energy futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(12), pages 1918-1934, December.
   2. Yuan, Ying & Zhuang, Xin-tian & Liu, Zhi-ying & Huang, Wei-qiang, 2012. "Time-clustering behavior of sharp fluctuation sequences in Chinese stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 45(6), pages 838-845.
   3. Pushpa Dissanayake & Teresa Flock & Johanna Meier & Philipp Sibbertsen, 2021. "Modelling Short- and Long-Term Dependencies of Clustered High-Threshold Exceedances in Significant Wave Heights," Mathematics, MDPI, vol. 9(21), pages 1-33, November.
      • Dissanayake, Pushpa & Flock, Teresa & Meier, Johanna & Sibbertsen, Philipp, 2021. "Modelling Short- and Long-Term Dependencies of Clustered High-Threshold Exceedances in Significant Wave Heights," Hannover Economic Papers (HEP) dp-690, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
   4. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
   5. Ra l De Jes s Guti rrez & Lidia E. Carvajal Guti rrez & Oswaldo Garcia Salgado, 2023. "Value at Risk and Expected Shortfall Estimation for Mexico s Isthmus Crude Oil Using Long-Memory GARCH-EVT Combined Approaches," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 467-480, July.
   6. 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.
   7. Halkos, George & Tsirivis, Apostolos, 2019. "Using Value-at-Risk for effective energy portfolio risk management," MPRA Paper 91674, University Library of Munich, Germany.
   8. Julia S. Mehlitz & Benjamin R. Auer, 2021. "Time‐varying dynamics of expected shortfall in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(6), pages 895-925, June.
   9. Vêlayoudom Marimoutou & Bechir Raggad & Abdelwahed Trabelsi, 2006. "Extreme Value Theory and Value at Risk : Application to Oil Market," Working Papers halshs-00410746, HAL.
   10. Feng Ren & David E. Giles, 2007. "Extreme Value Analysis of Daily Canadian Crude Oil Prices," Econometrics Working Papers 0708, Department of Economics, University of Victoria.
   11. Wei Yang & Ai Han & Yongmiao Hong & Shouyang Wang, 2016. "Analysis of crisis impact on crude oil prices: a new approach with interval time series modelling," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1917-1928, December.
   12. Park, Eunchun & Maples, Joshua, 2018. "Serially Dependent Extreme Events in Agricultural Commodity Futures Markets," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266626, Southern Agricultural Economics Association.
   13. Nicolas Merener, 2016. "Concentrated Production and Conditional Heavy Tails in Commodity Returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(1), pages 46-65, January.
   14. Laporta, Alessandro G. & Merlo, Luca & Petrella, Lea, 2018. "Selection of Value at Risk Models for Energy Commodities," Energy Economics, Elsevier, vol. 74(C), pages 628-643.
   15. Herrera, Rodrigo & Rodriguez, Alejandro & Pino, Gabriel, 2017. "Modeling and forecasting extreme commodity prices: A Markov-Switching based extreme value model," Energy Economics, Elsevier, vol. 63(C), pages 129-143.
   16. Park, Eunchun & Maples, Josh, 2018. "Extreme Events and Serial Dependence in Commodity Prices," 2018 Annual Meeting, August 5-7, Washington, D.C. 274469, Agricultural and Applied Economics Association.
   17. Dariusz Gołȩbiewski & Tomasz Barszcz & Wioletta Skrodzka & Igor Wojnicki & Andrzej Bielecki, 2022. "A New Approach to Risk Management in the Power Industry Based on Systems Theory," Energies, MDPI, vol. 15(23), pages 1-19, November.
   18. Guo, Zi-Yi, 2017. "Models with Short-Term Variations and Long-Term Dynamics in Risk Management of Commodity Derivatives," EconStor Preprints 167619, ZBW - Leibniz Information Centre for Economics.
   19. Youssef, Manel & Belkacem, Lotfi & Mokni, Khaled, 2015. "Value-at-Risk estimation of energy commodities: A long-memory GARCH–EVT approach," Energy Economics, Elsevier, vol. 51(C), pages 99-110.
   20. Halkos, George E. & Tsirivis, Apostolos S., 2019. "Value-at-risk methodologies for effective energy portfolio risk management," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 197-212.
   21. Kostas Andriosopoulos & Nikos Nomikos, 2012. "Risk management in the energy markets and Value-at-Risk modelling: a Hybrid approach," RSCAS Working Papers 2012/47, European University Institute.
   22. Abdul-Aziz Ibn Musah & Jianguo Du & Hira Salah Ud din Khan & Alhassan Alolo Abdul-Rasheed Akeji, 2018. "The Asymptotic Decision Scenarios of an Emerging Stock Exchange Market: Extreme Value Theory and Artificial Neural Network," Risks, MDPI, vol. 6(4), pages 1-24, November.

5. Adkins, Lee C & Krehbiel, Timothy & Hill, R Carter, 2000. "Using Cointegration Restrictions to Improve Inference in Vector Autoregressive Systems," Review of Quantitative Finance and Accounting, Springer, vol. 14(2), pages 193-208, March.

   Cited by:

   1. Roland Füss & Denis Schweizer, 2012. "Short and long-term interactions between venture capital returns and the macroeconomy: evidence for the United States," Review of Quantitative Finance and Accounting, Springer, vol. 38(3), pages 391-410, April.

6. Adkins, Lee C. & Krehbiel, Timothy, 1999. "Mean reversion and volatility of short-term London Interbank Offer Rates: An empirical comparison of competing models," International Review of Economics & Finance, Elsevier, vol. 8(1), pages 45-54, January.

   Cited by:

   1. Huang, J. & Kobayashi, M. & McAleer, M.J., 2011. "Testing the Box-Cox Parameter for an Integrated Process," Econometric Institute Research Papers EI 2010-77, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
      • Jian Huang & Masahito Kobayashi & Michael McAleer, 2010. "Testing the Box-Cox Parameter for an Integrated Process," Working Papers in Economics 10/77, University of Canterbury, Department of Economics and Finance.
      • Jian Huang & Masahito Kobayashi & Michael McAleer, 2011. "Testing the Box-Cox Parameter for an Integrated Process," Documentos de Trabajo del ICAE 2011-19, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
      • Jian Huang & Masahito Kobayashi & Michael McAleer, 2010. "Testing the Box-Cox Parameter for an Integrated Process," KIER Working Papers 750, Kyoto University, Institute of Economic Research.
   2. Jian Huang & Masahito Kobayashi & Michael McAleer, 2009. "Testing the Box-Cox Parameter in an Integrated Process," CIRJE F-Series CIRJE-F-661, CIRJE, Faculty of Economics, University of Tokyo.
   3. Nowman, Khalid Ben, 2010. "Modelling the UK and Euro yield curves using the Generalized Vasicek model: Empirical results from panel data for one and two factor models," International Review of Financial Analysis, Elsevier, vol. 19(5), pages 334-341, December.
   4. B. Stehlikova & D. Sevcovic, 2008. "On non-existence of a one factor interest rate model for volatility averaged generalized Fong-Vasicek term structures," Papers 0811.0473, arXiv.org.
   5. Huang, Jian & Kobayashi, Masahito & McAleer, Michael, 2012. "Testing for the Box–Cox parameter for an integrated process," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 83(C), pages 1-9.

7. Tim Krehbiel & Roger Collier, 1996. "Normal backwardation in short‐term interest rate futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(8), pages 899-913, December.

   Cited by:

   1. Seungho Baek & Mina Glambosky & Seok Hee Oh & Jeong Lee, 2020. "Machine Learning and Algorithmic Pairs Trading in Futures Markets," Sustainability, MDPI, vol. 12(17), pages 1-24, August.
   2. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.

8. Tim Krehbiel & Lee C. Adkins, 1996. "Do systematic risk premiums persist in eurodollar futures prices?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(4), pages 389-403, June.

   Cited by:

   1. Adkins, Lee C & Krehbiel, Timothy & Hill, R Carter, 2000. "Using Cointegration Restrictions to Improve Inference in Vector Autoregressive Systems," Review of Quantitative Finance and Accounting, Springer, vol. 14(2), pages 193-208, March.

9. Polonchek, John & Krehbiel, Tim, 1994. "Price and volume effects associated with changes in the Dow Jones Averages," The Quarterly Review of Economics and Finance, Elsevier, vol. 34(4), pages 305-316.

   Cited by:

   1. Ernest N. Biktimirov & Yuanbin Xu, 2019. "Market reactions to changes in the Dow Jones industrial average index," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 15(5), pages 792-812, May.
   2. Doeswijk, Ronald Q., 2005. "The index revision party," International Review of Financial Analysis, Elsevier, vol. 14(1), pages 93-112.
   3. COLLA, Paolo, 2005. "A market microstructure rationale for the S&P game," LIDAM Discussion Papers CORE 2005008, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
   4. Prabhdeep Kaur & Jaspal Singh, 2021. "Impact of ETF Listing on the Returns Generated by Underlying Stocks: Indian Evidence," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 46(3), pages 263-288, August.
   5. J. Carlos Gómez Sala & Jorge Yzaguirre, 2003. "Presión sobre los precios en las revisiones del índice IBEX35," Investigaciones Economicas, Fundación SEPI, vol. 27(3), pages 491-531, September.
      • Juan Carlos Gómez Sala & Jorge Yzaguirre Sharfhaussen, 2000. "Presión sobre los precios en las revisiones del índice Ibex35," Working Papers. Serie EC 2000-22, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
   6. Jammazi, Rania, 2012. "Cross dynamics of oil-stock interactions: A redundant wavelet analysis," Energy, Elsevier, vol. 44(1), pages 750-777.
   7. Andrukovich, P., 2019. "The dynamics of stock price during their listing and delisting," Journal of the New Economic Association, New Economic Association, vol. 44(4), pages 50-76.
   8. Eric C. Lin, 2018. "The Effect Of Dow Jones Industrial Average Index Component Changes On Stock Returns And Trading Volumes," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 12(1), pages 81-92.

10. Tim Krehbiel & Lee C. Adkins, 1994. "Interest rate futures: Evidence on forecast power, expected premiums, and the unbiased expectations hypothesis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 14(5), pages 531-543, August.

    Cited by:

    1. Kleimeier, Stefanie & Sander, Harald, 2006. "Expected versus unexpected monetary policy impulses and interest rate pass-through in euro-zone retail banking markets," Journal of Banking & Finance, Elsevier, vol. 30(7), pages 1839-1870, July.
    2. Bernoth, Kerstin & von Hagen, Jürgen, 2003. "The performance of the Euribor futures market: Effficiency and the impact of ECB policy announcements," ZEI Working Papers B 27-2003, University of Bonn, ZEI - Center for European Integration Studies.
    3. Sander, H. & Kleimeier, S., 2004. "Expected versus unexpected monetary policy impulses and interest rate pass-through in eurozone retail banking," Research Memorandum 001, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    4. Adkins, Lee C & Krehbiel, Timothy & Hill, R Carter, 2000. "Using Cointegration Restrictions to Improve Inference in Vector Autoregressive Systems," Review of Quantitative Finance and Accounting, Springer, vol. 14(2), pages 193-208, March.
    5. Kerstin Bernoth & Jürgen von Hagen, 2004. "The Euribor Futures Market: Efficiency and the Impact of ECB Policy Announcements," International Finance, Wiley Blackwell, vol. 7(1), pages 1-24, March.
    6. Yin-Wong Cheung & Hung-Gay Fung, 1997. "Information Flows Between Eurodollar Spot and Futures Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 1(4), pages 255-271, December.

11. Tim Krehbiel & Lee C. Adkins, 1993. "Cointegration tests of the unbiased expectations hypothesis in metals markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(7), pages 753-763, October.

    Cited by:

    1. An-Sing Chen & James Wuh Lin, 2004. "Cointegration and detectable linear and nonlinear causality: analysis using the London Metal Exchange lead contract," Applied Economics, Taylor & Francis Journals, vol. 36(11), pages 1157-1167.
    2. Bekiros, Stelios D. & Diks, Cees G.H., 2008. "The relationship between crude oil spot and futures prices: Cointegration, linear and nonlinear causality," Energy Economics, Elsevier, vol. 30(5), pages 2673-2685, September.
       • Bekiros, S. & Diks, C.G.H., 2007. "The Relationship between Crude Oil Spot and Futures Prices: Cointegration, Linear and Nonlinear Causality," CeNDEF Working Papers 07-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    3. Richard Heaney, 1998. "A Test of the cost‐of‐carry relationship using the London Metal Exchange lead contract," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 18(2), pages 177-200, April.
    4. Donald Lien & Keshab Shrestha, 2005. "Estimating the optimal hedge ratio with focus information criterion," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 25(10), pages 1011-1024, October.
    5. Jabir Ali & Kriti Bardhan Gupta, 2011. "Efficiency in agricultural commodity futures markets in India," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(2), pages 162-178, August.
    6. Snaith, S & Kellard, NM & Ahmad, N, 2015. "Open outcry versus electronic trading: tests of market efficiency on crude palm oil futures," Essex Finance Centre Working Papers 15373, University of Essex, Essex Business School.
       • Stuart Snaith & Neil M. Kellard & Norzalina Ahmad, 2018. "Open outcry versus electronic trading: Tests of market efficiency on crude palm oil futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(6), pages 673-695, June.
    7. Aruga, Kentaka & Managi, Shunsuke, 2011. "Price Linkages in the Copper Futures, Primary, and Scrap Markets," MPRA Paper 36089, University Library of Munich, Germany.
       • Aruga, Kentaka & Managi, Shunsuke, 2011. "Price linkages in the copper futures, primary, and scrap markets," Resources, Conservation & Recycling, Elsevier, vol. 56(1), pages 43-47.
    8. Ibikunle, Gbenga & Gregoriou, Andros & Hoepner, Andreas G.F. & Rhodes, Mark, 2016. "Liquidity and market efficiency in the world's largest carbon market," The British Accounting Review, Elsevier, vol. 48(4), pages 431-447.
    9. Manolis Kavussanos & Ilias Visvikis & David Menachof, 2005. "The Unbiasedness Hypothesis in the Freight Forward Market: Evidence from Cointegration Tests," Review of Derivatives Research, Springer, vol. 7(3), pages 241-266, October.
    10. Joakim Westerlund & Paresh Narayan, 2013. "Testing the Efficient Market Hypothesis in Conditionally Heteroskedastic Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(11), pages 1024-1045, November.
    11. Heaney, Richard, 2002. "Does knowledge of the cost of carry model improve commodity futures price forecasting ability?: A case study using the London Metal Exchange lead contract," International Journal of Forecasting, Elsevier, vol. 18(1), pages 45-65.
    12. Ahmed A. A. Khalifa & Hong Miao & Sanjay Ramchander, 2011. "Return distributions and volatility forecasting in metal futures markets: Evidence from gold, silver, and copper," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(1), pages 55-80, January.
    13. Nidhi Choudhary & Girish K. Nair & Harsh Purohit, 2015. "Volatility In Copper Prices In India," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-26, December.
    14. Jerry Coakley & Jian Dollery & Neil Kellard, 2011. "Long memory and structural breaks in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(11), pages 1076-1113, November.
    15. Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2014. "A fractionally cointegrated VAR analysis of price discovery in commodity futures markets," CREATES Research Papers 2014-24, Department of Economics and Business Economics, Aarhus University.
        • Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2015. "A Fractionally Cointegrated VAR Analysis of Price Discovery in Commodity Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 339-356, April.
        • Sepideh Dolatabadi & Ke Xu & Morten Ø. Nielsen, 2014. "A Fractionally Cointegrated Var Analysis Of Price Discovery In Commodity Futures Markets," Working Paper 1328, Economics Department, Queen's University.
    16. Clinton Watkins & Michael McAleer, 2003. "Pricing of Non-ferrous Metals Futures on the London Metal Exchange," CIRJE F-Series CIRJE-F-213, CIRJE, Faculty of Economics, University of Tokyo.
    17. Robert Czudaj & Joscha Beckmann, 2012. "Spot and futures commodity markets and the unbiasedness hypothesis - evidence from a novel panel unit root test," Economics Bulletin, AccessEcon, vol. 32(2), pages 1695-1707.
    18. Shashi Gupta & Himanshu Choudhary & D. R. Agarwal, 2018. "An Empirical Analysis of Market Efficiency and Price Discovery in Indian Commodity Market," Global Business Review, International Management Institute, vol. 19(3), pages 771-789, June.
    19. Li, Jia & Hanrahan, Kevin F. & McErlean, Seamus, 2004. "The Efficiency Of The Futures Market For Agricultural Commodities In The Uk," 2004 Annual meeting, August 1-4, Denver, CO 20203, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. Adkins, Lee C & Krehbiel, Timothy & Hill, R Carter, 2000. "Using Cointegration Restrictions to Improve Inference in Vector Autoregressive Systems," Review of Quantitative Finance and Accounting, Springer, vol. 14(2), pages 193-208, March.
    21. Yoon, Byung-Sam & Brorsen, B. Wade, 2000. "Rollover Hedging," 2000 Conference, April 17-18 2000, Chicago, Illinois 18938, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    22. Clinton Watkins & Michael McAleer, 2004. "Econometric modelling of non‐ferrous metal prices," Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 651-701, December.
    23. Watkins, Clinton & McAleer, Michael, 2002. "Cointegration analysis of metals futures," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 207-221.

12. Ravi Vaidyanathan & Tim Krehbiel, 1992. "Does the S&P 500 futures mispricing series exhibit nonlinear dependence across time?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 12(6), pages 659-677, December.

    Cited by:

    1. Samir Saadi & Devinder Gandhi & Khaled Elmawazini, 2006. "On the validity of conventional statistical tests given evidence of non-synchronous trading and non-linear dynamics in returns generating process," Applied Economics Letters, Taylor & Francis Journals, vol. 13(5), pages 301-305.
    2. Ayşe İşi & Fatih Çemrek, 2019. "Comparison of the Global, Local and Semi-Local Chaotic Prediction Methods for Stock Markets: The Case of FTSE-100 Index," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 7(2), pages 289-300, December.
    3. Chris Bilson & Tim Brailsford & Twm Evans, 2005. "The International Transmission of Arbitrage Information Across Futures Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(5‐6), pages 973-1000, June.
    4. Marisa Faggini, 2011. "Chaotic Time Series Analysis in Economics: Balance and Perspectives," Working papers 25, Former Department of Economics and Public Finance "G. Prato", University of Torino.
    5. Marisa Faggini & Bruna Bruno & Anna Parziale, 2019. "Does Chaos Matter in Financial Time Series Analysis?," International Journal of Economics and Financial Issues, Econjournals, vol. 9(4), pages 18-24.
    6. Ohashi, Alberto Masayoshi F ., 2001. "Instability and chaotic dynamics in stock returns," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 21(2), November.
    7. Holger Dette & Marc Hallin & Tobias Kley & Stanislav Volgushev, 2011. "Of Copulas, Quantiles, Ranks and Spectra - An L1-Approach to Spectral Analysis," Working Papers ECARES ECARES 2011-038, ULB -- Universite Libre de Bruxelles.
    8. M. Shibley Sadique, 2011. "Testing for Neglected Nonlinearity in Weekly Foreign Exchange Rates," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 77-88, June.
    9. Anning Wei & Raymond M. Leuthold, 1998. "Long Agricultural Futures Prices: ARCH, Long Memory, or Chaos Processes?," Finance 9805001, University Library of Munich, Germany.
    10. McKenzie, Michael D., 2001. "Chaotic behavior in national stock market indices: New evidence from the close returns test," Global Finance Journal, Elsevier, vol. 12(1), pages 35-53.
    11. Tim Brailsford & Allan Hodgson, 1997. "Mispricing in Stock Index Futures: A Re†Examination Using the SPI," Australian Journal of Management, Australian School of Business, vol. 22(1), pages 21-45, June.

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