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Gary Lee Shoesmith

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. Shoesmith, Gary L., 2013. "Space–time autoregressive models and forecasting national, regional and state crime rates," International Journal of Forecasting, Elsevier, vol. 29(1), pages 191-201.

    Cited by:

    1. Kajita, Mami & Kajita, Seiji, 2020. "Crime prediction by data-driven Green’s function method," International Journal of Forecasting, Elsevier, vol. 36(2), pages 480-488.
    2. Safikhani, Abolfazl & Kamga, Camille & Mudigonda, Sandeep & Faghih, Sabiheh Sadat & Moghimi, Bahman, 2020. "Spatio-temporal modeling of yellow taxi demands in New York City using generalized STAR models," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1138-1148.
    3. Felipe Santos‐Marquez, 2022. "Spatial beta‐convergence forecasting models: Evidence from municipal homicide rates in Colombia," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 294-302, March.

  2. Gary Shoesmith, 2010. "Four factors that explain both the rise and fall of US crime, 1970-2003," Applied Economics, Taylor & Francis Journals, vol. 42(23), pages 2957-2973.

    Cited by:

    1. Alessandro Moro, 2017. "Distribution dynamics of property crime rates in the United States," Urban Studies, Urban Studies Journal Limited, vol. 54(11), pages 2613-2630, August.
    2. Halicioglu, Ferda, 2012. "Temporal Causality and the Dynamics of Crime in Turkey," MPRA Paper 41794, University Library of Munich, Germany.
    3. Steve Cook & Tom Winfield, 2013. "Crime across the States: Are US Crime Rates Converging?," Urban Studies, Urban Studies Journal Limited, vol. 50(9), pages 1724-1741, July.
    4. Ogundari, Kolawole, 2021. "Crime and economic conditions in the United States Revisited," MPRA Paper 116944, University Library of Munich, Germany, revised 11 Mar 2022.
    5. Steve Cook & Duncan Watson, 2013. "Breaks and Convergence in U.S. Regional Crime Rates: Analysis of Their Presence and Implications," Social Sciences, MDPI, vol. 2(3), pages 1-11, August.
    6. Tauã Vital & Daniel Morais De Souza & Jessica Faciroli, 2020. "Unemployment, poverty and police performance: an ARDL analysis of crime in São Paulo," Economics Bulletin, AccessEcon, vol. 40(1), pages 128-139.
    7. Alexander F. McQuoid & J. Britton Haynes Jr., 2017. "The Thin (Red) Blue Line: Police Militarization and Violent Crime," Departmental Working Papers 56, United States Naval Academy Department of Economics.
    8. Steve Cook & Tom Winfield, 2015. "The urban-rural divide, regional disaggregation and the convergence of crime," Applied Economics, Taylor & Francis Journals, vol. 47(47), pages 5072-5087, October.

  3. Wei (Wendy) Liu & Bruce G. Resnick & Gary L. Shoesmith, 2004. "Market Timing Of International Stock Markets Using The Yield Spread," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 27(3), pages 373-391, September.

    Cited by:

    1. Damir Tokic & Dave Jackson, 2023. "When a correction turns into a bear market: What explains the depth of the stock market drawdown? A discretionary global macro approach," Journal of Asset Management, Palgrave Macmillan, vol. 24(3), pages 184-197, May.
    2. Bohl, Martin T. & Czaja, Marc-Gregor & Kaufmann, Philipp, 2016. "Momentum profits, market cycles, and rebounds: Evidence from Germany," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 139-159.
    3. Luis Ferruz & Fernando Muñoz & Maria Vargas, 2010. "Does the size of a fund family matter when choosing an investment strategy? Evidence from spain," Review of Quantitative Finance and Accounting, Springer, vol. 35(3), pages 315-334, October.
    4. Bhaduri, Saumitra & Saraogi, Ravi, 2010. "The predictive power of the yield spread in timing the stock market," Emerging Markets Review, Elsevier, vol. 11(3), pages 261-272, September.

  4. Gary L. Shoesmith, 2003. "Predicting National and Regional Recessions Using Probit Modeling and Interest‐Rate Spreads," Journal of Regional Science, Wiley Blackwell, vol. 43(2), pages 373-392, May.

    Cited by:

    1. W. -X. Zhou & D. Sornette, 2003. "Causal Slaving of the U.S. Treasury Bond Yield Antibubble by the Stock Market Antibubble of August 2000," Papers cond-mat/0312658, arXiv.org.
    2. Zietz, Joachim A. & Penn, David A., 2008. "An Unobserved Components Forecasting Model of Non-Farm Employment for the Nashville MSA," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 38(1), pages 1-10.

  5. deB. Harris, Frederick H. & McInish, Thomas H. & Shoesmith, Gary L. & Wood, Robert A., 1995. "Cointegration, Error Correction, and Price Discovery on Informationally Linked Security Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(4), pages 563-579, December.

    Cited by:

    1. Qadan, Mahmoud, 2018. "Switches in price discovery: Are U.S. traders more qualified in making valuations?," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 221-234.
    2. Menkveld, Albert J., 2006. "Splitting orders in overlapping markets: a study of cross-listed stocks," Serie Research Memoranda 0003, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    3. Marc K. Chan & Simon S. Kwok, 2016. "Capital account liberalization and dynamic price discovery: evidence from Chinese cross-listed stocks," Applied Economics, Taylor & Francis Journals, vol. 48(6), pages 517-535, February.
    4. Fengler, Matthias R. & Okhrin, Ostap, 2012. "Realized copula," SFB 649 Discussion Papers 2012-034, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    5. Ely, David & Salehizadeh, Mehdi, 2001. "American depositary receipts: An analysis of international stock price movements," International Review of Financial Analysis, Elsevier, vol. 10(4), pages 343-363.
    6. Martínez-Garmendia, Josué & Anderson, James L., 2001. "Premiums/Discounts and Predictive Ability of the Shrimp Futures Market," Agricultural and Resource Economics Review, Cambridge University Press, vol. 30(2), pages 160-167, October.
    7. Neil Shephard & Dacheng Xiu, 2012. "Econometric analysis of multivariate realised QML: efficient positive semi-definite estimators of the covariation of equity prices," Economics Series Working Papers 604, University of Oxford, Department of Economics.
    8. Petitjean, Mikael, 2015. "How integrated is the European carbon derivatives market?," LIDAM Reprints LFIN 2015004, Université catholique de Louvain, Louvain Finance (LFIN).
    9. Joel Hasbrouck, 2021. "Price Discovery in High Resolution," Journal of Financial Econometrics, Oxford University Press, vol. 19(3), pages 395-430.
    10. Boehmer, Beatrice & Boehmer, Ekkehart, 2003. "Trading your neighbor's ETFs: Competition or fragmentation?," Journal of Banking & Finance, Elsevier, vol. 27(9), pages 1667-1703, September.
    11. Jokivuolle, Esa & Lanne, Markku, 2004. "Trading Nokia: the roles of the Helsinki vs the New York stock exchanges," Bank of Finland Research Discussion Papers 26/2004, Bank of Finland.
    12. Fengler, Matthias R. & Okhrin, Ostap, 2016. "Managing risk with a realized copula parameter," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 131-152.
    13. Fernandes, Marcelo & Scherrer, Cristina Mabel, 2013. "Price discovery in dual-class shares across multiple markets," Textos para discussão 344, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    14. Wang, Jian-Xin, 2001. "Quote revision and information flow among foreign exchange dealers," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 11(2), pages 115-136, June.
    15. Guglielmo Maria Caporale & Alessandro Girardi, 2010. "Price Formation on the EuroMTS Platform," CESifo Working Paper Series 2938, CESifo.
    16. Robert Garrison & Pankaj Jain & Mark Paddrik, 2019. "Cross-Asset Market Order Flow, Liquidity, and Price Discovery," Working Papers 19-04, Office of Financial Research, US Department of the Treasury.
    17. Ghadhab, Imen & Hellara, Slaheddine, 2016. "Price discovery of cross-listed firms," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 177-188.
    18. 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.
    19. Oliver Entrop & Bart Frijns & Marco Seruset, 2020. "The determinants of price discovery on bitcoin markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(5), pages 816-837, May.
    20. Martens, Martin, 1998. "Price discovery in high and low volatility periods: open outcry versus electronic trading," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 8(3-4), pages 243-260, December.
    21. Sjoo, Boo & Zhang, Jianhua, 2000. "Market segmentation and information diffusion in China's stock markets," Journal of Multinational Financial Management, Elsevier, vol. 10(3-4), pages 421-438, December.
    22. Guglielmo Caporale & Davide Ciferri & Alessandro Girardi, 2010. "Time-varying spot and futures oil price dynamics," Quaderni del Dipartimento di Economia, Finanza e Statistica 75/2010, Università di Perugia, Dipartimento Economia.
    23. Pascual, Roberto & Pascual-Fuster, Bartolome & Climent, Francisco, 2006. "Cross-listing, price discovery and the informativeness of the trading process," Journal of Financial Markets, Elsevier, vol. 9(2), pages 144-161, May.
    24. Muñoz-Bouzo, María José, 1997. "Stochastic measures of financial markets efficiency and integration," DEE - Working Papers. Business Economics. WB 7018, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    25. Timofei Bogomolov & Lixian Liu & Petko S Kalev, 2013. "Can time difference deter arbitrage opportunities?," Journal of Asset Management, Palgrave Macmillan, vol. 14(2), pages 79-94, April.
    26. Caporale, Guglielmo Maria & Girardi, Alessandro, 2013. "Price discovery and trade fragmentation in a multi-market environment: Evidence from the MTS system," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 227-240.
    27. Sebastiano Michele Zema & Francesco Cordoni, 2023. "A non-Normal framework for price discovery: The independent component based information shares measure," LEM Papers Series 2023/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    28. Kumar, Umesh & Tse, Yiuman, 2009. "Single-stock futures: Evidence from the Indian securities market," Global Finance Journal, Elsevier, vol. 20(3), pages 220-234.
    29. Yaseen S. Alhaj-Yaseen & Dana Ladd, 2019. "Which sentiments do US investors follow when trading ADRs?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(3), pages 506-527, July.
    30. Kris Boudt & Sébastien Laurent & Asger Lunde & Rogier Quaedvlieg & Orimar Sauri, 2017. "Positive semidefinite integrated covariance estimation, factorizations and asynchronicity," Post-Print hal-01505775, HAL.
    31. McInish, Thomas H. & Van Ness, Bonnie F. & Van Ness, Robert A., 2002. "After-hours trading of NYSE stocks on the regional stock exchanges," Review of Financial Economics, Elsevier, vol. 11(4), pages 287-297.
    32. Ansotegui, Carmen & Bassiouny, Aliaa & Tooma, Eskandar, 2013. "The proof is in the pudding: Arbitrage is possible in limited emerging markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 342-357.
    33. Peter Temin & Hans-Joachim Voth, 2004. "Riding the South Sea Bubble," American Economic Review, American Economic Association, vol. 94(5), pages 1654-1668, December.
    34. Machava, Agostinho, 2017. "The Macroeconomic Determinants of the Pass-Through from the Market Interest Rate to the Bank Lending Rate in Mozambique," Umeå Economic Studies 954, Umeå University, Department of Economics.
    35. de Jong, F.C.J.M. & Schotman, P.C., 2010. "Price discovery in fragmented markets," Other publications TiSEM 4650a9e7-c4cf-41cf-a771-e, Tilburg University, School of Economics and Management.
    36. Liu, Cheng & Tang, Cheng Yong, 2014. "A quasi-maximum likelihood approach for integrated covariance matrix estimation with high frequency data," Journal of Econometrics, Elsevier, vol. 180(2), pages 217-232.
    37. Hautsch, Nikolaus & Kyj, Lada M. & Oomen, Roel C.A., 2009. "A blocking and regularization approach to high dimensional realized covariance estimation," SFB 649 Discussion Papers 2009-049, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    38. Cai, Kelly & Lee, Heiwai & Valero, Magali, 2018. "The roles of the information environment and the stock price performance of foreign firms in their decision to delist from U.S. exchanges," Journal of Multinational Financial Management, Elsevier, vol. 47, pages 1-13.
    39. Ole E. Barndorff-Nielsen & Peter Reinhard Hansen & Asger Lunde & Neil Shephard, 2009. "Multivariate Realised Kernels: Consistent Positive Semi-Definite Estimators of the Covariation of Equity Prices with Noise and Non-Synchronous Trading," Global COE Hi-Stat Discussion Paper Series gd08-037, Institute of Economic Research, Hitotsubashi University.
    40. Jon Danielsson & Richard Payne, 1999. "Real Trading Patterns and Prices in Spot Foreign Exchange Markets," FMG Discussion Papers dp320, Financial Markets Group.
    41. Vander Elst, Harry & Veredas, David, 2014. "Disentangled jump-robust realized covariances and correlations with non-synchronous prices," DES - Working Papers. Statistics and Econometrics. WS ws142416, Universidad Carlos III de Madrid. Departamento de Estadística.
    42. Jieye Qin & Christopher J. Green & Kavita Sirichand, 2023. "Spot–Futures Price Adjustments in the Nikkei 225: Linear or Smooth Transition? Financial Centre Leadership or Home Bias?," JRFM, MDPI, vol. 16(2), pages 1-31, February.
    43. Sapp, Stephen G., 2002. "Price Leadership in the Spot Foreign Exchange Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 37(3), pages 425-448, September.
    44. Growitsch, Christian & Rammerstorfer, Margarethe, 2008. "Zur wettbewerblichen Wirkung des Zweivertragsmodells im deutschen Gasmarkt," WIK Discussion Papers 303, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH.
    45. deB. Harris, Frederick H. & McInish, Thomas H. & Wood, Robert A., 2002. "Security price adjustment across exchanges: an investigation of common factor components for Dow stocks," Journal of Financial Markets, Elsevier, vol. 5(3), pages 277-308, July.
    46. Michiel de Pooter & Martin Martens & Dick van Dijk, 2008. "Predicting the Daily Covariance Matrix for S&P 100 Stocks Using Intraday Data—But Which Frequency to Use?," Econometric Reviews, Taylor & Francis Journals, vol. 27(1-3), pages 199-229.
    47. Ding, David K. & Harris, Frederick H. deB. & Lau, Sie Ting & McInish, Thomas H., 1999. "An investigation of price discovery in informationally-linked markets: equity trading in Malaysia and Singapore," Journal of Multinational Financial Management, Elsevier, vol. 9(3-4), pages 317-329, November.
    48. Chen, Haiqiang & Choi, Paul Moon Sub, 2012. "Does information vault Niagara Falls? Cross-listed trading in New York and Toronto," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 175-199.
    49. Fong, Kingsley & Zurbruegg, Ralf, 2003. "How much do locals contribute to the price discovery process?," Journal of Empirical Finance, Elsevier, vol. 10(3), pages 305-320, May.
    50. Frijns, Bart & Gilbert, Aaron & Tourani-Rad, Alireza, 2010. "The dynamics of price discovery for cross-listed shares: Evidence from Australia and New Zealand," Journal of Banking & Finance, Elsevier, vol. 34(3), pages 498-508, March.
    51. Bessler, David A. & Yang, Jian, 2003. "The structure of interdependence in international stock markets," Journal of International Money and Finance, Elsevier, vol. 22(2), pages 261-287, April.
    52. Qin Wang & Hsiao-Fen Yang, 2015. "Earnings announcements, trading volume, and price discovery: evidence from dual class firms," Review of Quantitative Finance and Accounting, Springer, vol. 44(4), pages 669-700, May.
    53. Griffin, Jim E. & Oomen, Roel C.A., 2011. "Covariance measurement in the presence of non-synchronous trading and market microstructure noise," Journal of Econometrics, Elsevier, vol. 160(1), pages 58-68, January.
    54. Adrangi, Bahram & Chatrath, Arjun & Raffiee, Kambiz & D. Ripple, Ronald, 2001. "Alaska North Slope crude oil price and the behavior of diesel prices in California," Energy Economics, Elsevier, vol. 23(1), pages 29-42, January.
    55. Yao Axel Ehouman, 2020. "Volatility transmission between oil prices and banks’ stock prices as a new source of instability: Lessons from the United States experience," Post-Print hal-02960571, HAL.
    56. Papavassiliou, Vassilios G. & Kinateder, Harald, 2021. "Information shares and market quality before and during the European sovereign debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    57. Su, Qian & Chong, Terence Tai-Leung, 2007. "Determining the contributions to price discovery for Chinese cross-listed stocks," Pacific-Basin Finance Journal, Elsevier, vol. 15(2), pages 140-153, April.
    58. Zolotoy, L., 2008. "Empirical essays on the information transfer between and the informational efficiency of stock markets," Other publications TiSEM 2a2652c6-1060-4622-8721-8, Tilburg University, School of Economics and Management.
    59. Vladimír Holý & Petra Tomanová, 2023. "Streaming Approach to Quadratic Covariation Estimation Using Financial Ultra-High-Frequency Data," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 463-485, June.
    60. Idier, J., 2008. "Long term vs. short term comovements in stock markets: the use of Markov-switching multifractal models," Working papers 218, Banque de France.
    61. Theissen, Erik, 2001. "Price Discovery in Floor and Screen Trading Systems," Bonn Econ Discussion Papers 35/2001, University of Bonn, Bonn Graduate School of Economics (BGSE).
    62. Schultz, Emma & Swieringa, John, 2014. "Catalysts for price discovery in the European Union Emissions Trading System," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 112-122.
    63. Harris, Frederick H. deB. & McInish, Thomas H. & Wood, Robert A., 2002. "Common factor components versus information shares: a reply," Journal of Financial Markets, Elsevier, vol. 5(3), pages 341-348, July.
    64. Zebedee, Allan A., 2001. "The impact of a trade on national best bid and offer quotes: a new approach to modeling irregularly spaced data," Journal of Multinational Financial Management, Elsevier, vol. 11(4-5), pages 363-383, December.
    65. Alessandro Girardi & Claudio Impenna, 2013. "Price discovery in the Italian sovereign bonds market: the role of order flow," Temi di discussione (Economic working papers) 906, Bank of Italy, Economic Research and International Relations Area.
    66. Zebedee, Allan A. & Kasch-Haroutounian, Maria, 2009. "A closer look at co-movements among stock returns," Journal of Economics and Business, Elsevier, vol. 61(4), pages 279-294, July.
    67. Yue-Jun Zhang & Yi-Ming Wei, 2009. "The crude oil market and the gold market: Evidence for cointegration, causality and price discovery," CEEP-BIT Working Papers 5, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    68. Idier, J., 2006. "Stock exchanges industry consolidation and shock transmission," Working papers 159, Banque de France.
    69. Andrew Van Buskirk, 2012. "Discussion of Option Prices Leading Equity Prices: Do Option Traders Have an Information Advantage," Journal of Accounting Research, Wiley Blackwell, vol. 50(2), pages 433-442, May.
    70. Lockwood, Jimmy & Lockwood, Larry & Miao, Hong & Ramchander, Sanjay & Yang, Dongxiao, 2022. "The information content of ETF options," Global Finance Journal, Elsevier, vol. 53(C).
    71. Kaul, Aditya & Mehrotra, Vikas, 2007. "The role of trades in price convergence: A study of dual-listed Canadian stocks," Journal of Empirical Finance, Elsevier, vol. 14(2), pages 196-219, March.
    72. Alma Hales, 2015. "Liquidity and price discovery in Latin America: evidence from American depositary receipts," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(4), pages 661-678, October.
    73. Lehmann, Bruce N., 2002. "Some desiderata for the measurement of price discovery across markets," Journal of Financial Markets, Elsevier, vol. 5(3), pages 259-276, July.
    74. Narayan, Seema & Smyth, Russell, 2015. "The financial econometrics of price discovery and predictability," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 380-393.
    75. Naoto Kunitomo & Hiroumi Misaki, 2013. "The SIML Estimation of Integrated Covariance and Hedging Coefficient under Micro-market noise and Random Sampling," CIRJE F-Series CIRJE-F-893, CIRJE, Faculty of Economics, University of Tokyo.
    76. Xunfa Lu & Zhitao Ye & Kin Keung Lai & Hairong Cui & Xiao Lin, 2022. "Time-Varying Causalities in Prices and Volatilities between the Cross-Listed Stocks in Chinese Mainland and Hong Kong Stock Markets," Mathematics, MDPI, vol. 10(4), pages 1-19, February.
    77. Scherrer, Cristina Mabel, 2021. "Information processing on equity prices and exchange rate for cross-listed stocks," Journal of Financial Markets, Elsevier, vol. 54(C).
    78. Chen, Haiqiang & Choi, Paul Moon Sub & Hong, Yongmiao, 2013. "How smooth is price discovery? Evidence from cross-listed stock trading," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 668-699.
    79. Naoto Kunitomo & Hiroumi Misaki & Seisho Sato, 2015. "The SIML Estimation of Integrated Covariance and Hedging Coefficient Under Round-off Errors, Micro-market Price Adjustments and Random Sampling," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 22(3), pages 333-368, September.
    80. Bahram Adrangi & Arjun Chatrath & Rohan Christie David, 2000. "Price discovery in strategically-linked markets: the case of the gold-silver spread," Applied Financial Economics, Taylor & Francis Journals, vol. 10(3), pages 227-234.
    81. Yao Axel Ehouman, 2019. "Volatility transmission between oil prices and banks stock prices as a new source of instability: Lessons from the US Experience," Working Papers hal-04141868, HAL.
    82. Michael Aitken & Niall Almeida & Frederick H. deB. Harris & Thomas H. McInish, 2008. "Financial analysts and price discovery," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 48(1), pages 1-24, March.
    83. Maria Elvira Mancino & Simona Sanfelici, 2011. "Covariance Estimation and Dynamic Asset-Allocation under Microstructure Effects via Fourier Methodology," Palgrave Macmillan Books, in: Greg N. Gregoriou & Razvan Pascalau (ed.), Financial Econometrics Modeling: Market Microstructure, Factor Models and Financial Risk Measures, chapter 1, pages 3-32, Palgrave Macmillan.
    84. Kao, Chung-Wei & Wan, Jer-Yuh, 2009. "Information transmission and market interactions across the Atlantic -- an empirical study on the natural gas market," Energy Economics, Elsevier, vol. 31(1), pages 152-161, January.
    85. Wang, Yun-Yi & Chang, Chiung-Chiao & Lee, Wan-Chen, 2013. "Price discovery between regular and mini index futures in the Taiwan Futures Exchange," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 224-237.
    86. Alejandro Balbás & MªJosé Muñoz, 1998. "Measuring the degree of fulfillment of the law of one price. Applications to financial market integration," Investigaciones Economicas, Fundación SEPI, vol. 22(2), pages 153-177, May.
    87. deB. Harris, Frederick H. & McInish, Thomas H. & Chakravarty, Ranjan R., 1995. "Bids and asks in disequilibrium market microstructure: The case of IBM," Journal of Banking & Finance, Elsevier, vol. 19(2), pages 323-345, May.
    88. S. Sanfelici & M. E. Mancino, 2008. "Covariance estimation via Fourier method in the presence of asynchronous trading and microstructure noise," Economics Department Working Papers 2008-ME01, Department of Economics, Parma University (Italy).
    89. Alemany, Nuria & Aragó, Vicent & Salvador, Enrique, 2020. "Lead-lag relationship between spot and futures stock indexes: Intraday data and regime-switching models," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 269-280.
    90. Vicente Medina & Angel Pardo & Roberto Pascual, 2013. "Carbon Credits: Who is the Leader of the Pack?," International Journal of Energy Economics and Policy, Econjournals, vol. 3(3), pages 210-220.
    91. Jørgensen, Kjell & Skjeltorp, Johannes & Ødegaard, Bernt Arne, 2018. "Throttling hyperactive robots – Order-to-trade ratios at the Oslo Stock Exchange," Journal of Financial Markets, Elsevier, vol. 37(C), pages 1-16.
    92. Osama Ahmed, 2021. "Assessing the Current Situation of the World Wheat Market Leadership: Using the Semi-Parametric Approach," Mathematics, MDPI, vol. 9(2), pages 1-21, January.
    93. Ellul, Andrew, 2006. "Ripples through markets: Inter-market impacts generated by large trades," Journal of Financial Economics, Elsevier, vol. 82(1), pages 173-196, October.
    94. Robert Garrison & Pankaj K. Jain & Mark Paddrik, 2024. "Cross‐Asset Tandem Trading and Extraordinary Volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(9), pages 1508-1542, September.
    95. Muñoz-Bouzo, María José, 1996. "Measuring the degree of fulfillment of the law of one price. Applications to financial markets integration," UC3M Working papers. Economics 7213, Universidad Carlos III de Madrid. Departamento de Economía.
    96. Covrig, Vicentiu & Melvin, Michael, 2002. "Asymmetric information and price discovery in the FX market: does Tokyo know more about the yen?," Journal of Empirical Finance, Elsevier, vol. 9(3), pages 271-285, August.
    97. Huang, Alex YiHou, 2016. "Impacts of implied volatility on stock price realized jumps," Economic Systems, Elsevier, vol. 40(4), pages 622-630.
    98. López, Susana, 2001. "Financial innovation and arbitrage in the Spanish bond market," DEE - Working Papers. Business Economics. WB wb010101, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    99. Alaganar, Vaira T. & Bhar, Ramaprasad, 2002. "Information and volatility linkage under external shocks: Evidence from dually listed Australian stocks," International Review of Financial Analysis, Elsevier, vol. 11(1), pages 59-71.
    100. 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.
    101. Liwei Jin & Xianghui Yuan & Shihao Wang & Peiran Li & Feng Lian, 2022. "Trades or quotes: Which drives price discovery? Evidence from Chinese index futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2235-2247, December.
    102. Yao Axel Ehouman, 2019. "Volatility transmission between oil prices and banks stock prices as a new source of instability: Lessons from the US Experience," EconomiX Working Papers 2019-19, University of Paris Nanterre, EconomiX.
    103. Yiuman Tse & Michael Williams, 2011. "Does Index Speculation Impact Commodity Prices? An Intraday Futures Analysis Using intraday data, we find that unidirectional causality runs from commodity index linked commodity futures to non-index ," Working Papers 0007, College of Business, University of Texas at San Antonio.
    104. Cai, Kelly & Zhu, Hui, 2020. "Does going public in the U.S. facilitate corporate innovation of foreign firms?," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    105. He, Ling T., 1997. "Price discovery in the Hong Kong security markets: evidence from cointegration tests," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 7(2), pages 157-169, July.
    106. Otsubo, Yoichi, 2014. "International cross-listing and price discovery under trading concentration in the domestic market: Evidence from Japanese shares," Journal of Empirical Finance, Elsevier, vol. 25(C), pages 36-51.
    107. De Jong, Frank & Mahieu, Ronald & Schotman, Peter, 1998. "Price discovery in the foreign exchange market: an empirical analysis of the yen/dmark rate1, 2," Journal of International Money and Finance, Elsevier, vol. 17(1), pages 5-27, February.
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  6. Shoesmith, Gary L., 1995. "Multiple cointegrating vectors, error correction, and forecasting with Litterman's model," International Journal of Forecasting, Elsevier, vol. 11(4), pages 557-567, December.

    Cited by:

    1. Chew Lian Chua & Sarantis Tsiaplias, 2008. "Can Consumer Sentiment and Its Components Forecast Australian GDP and Consumption?," Melbourne Institute Working Paper Series wp2008n03, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    2. Bewley, Ronald, 1997. "The forecast process and academic research," International Journal of Forecasting, Elsevier, vol. 13(4), pages 433-437, December.
    3. P. Geoffrey Allen & Robert Fildes, 2005. "Levels, Differences and ECMs – Principles for Improved Econometric Forecasting," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 881-904, December.
    4. Rangan Gupta & Sonali Das, 2008. "Spatial Bayesian Methods of Forecasting House Prices in Six Metropolitan Areas of South Africa," Working Papers 200813, University of Pretoria, Department of Economics.
    5. Kleibergen, F.R. & Paap, R., 1998. "Priors, posteriors and Bayes factors for a Bayesian analysis of cointegration," Econometric Institute Research Papers EI 9821, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    7. Rangan Gupta, 2009. "Bayesian Methods Of Forecasting Inventory Investment," South African Journal of Economics, Economic Society of South Africa, vol. 77(1), pages 113-126, March.
    8. Wu, Yih-Jiuan, 1998. "Exchange rate forecasting: an application of radial basis function neural networks," ISU General Staff Papers 1998010108000013540, Iowa State University, Department of Economics.
    9. Villani, Mattias, 2001. "Bayesian prediction with cointegrated vector autoregressions," International Journal of Forecasting, Elsevier, vol. 17(4), pages 585-605.
    10. Heather M Anderson & Farshid Vahid, 2010. "VARs, Cointegration and Common Cycle Restrictions," Monash Econometrics and Business Statistics Working Papers 14/10, Monash University, Department of Econometrics and Business Statistics.
    11. Jan G. De Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Monash Econometrics and Business Statistics Working Papers 12/05, Monash University, Department of Econometrics and Business Statistics.
    12. Chow, Hwee Kwan & Choy, Keen Meng, 2006. "Forecasting the global electronics cycle with leading indicators: A Bayesian VAR approach," International Journal of Forecasting, Elsevier, vol. 22(2), pages 301-315.
    13. Varshavsky, Alexander, 2009. "Questionable Innovations in Data Processing with Incomplete Information about the Analyzed System in Absence of Applications Limitations," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 16(4), pages 116-133.
    14. Darrat, Ali F., 2002. "The relative efficiency of interest-free monetary system: some empirical evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(4), pages 747-764.
    15. Luís Catela Nunes, 2003. "Forecasting Euro Area Aggregates with Bayesian VAR and VECM Models," Working Papers w200304, Banco de Portugal, Economics and Research Department.
    16. Florkowski, Wojciech J. & Lai, Yue, 1997. "Cointegration Between Prices of Pecans and Other Edible Nuts: Forecasting and Implications," 1997 Annual Meeting, July 13-16, 1997, Reno\ Sparks, Nevada 35870, Western Agricultural Economics Association.
    17. Hao, Na & Colson, Gregory & Seong, Byeongchan & Park, Cheolwoo & Wetzstein, Michael, 2015. "Drought, ethanol, and livestock," Energy Economics, Elsevier, vol. 49(C), pages 301-307.
    18. Poskitt, D. S., 2003. "On the specification of cointegrated autoregressive moving-average forecasting systems," International Journal of Forecasting, Elsevier, vol. 19(3), pages 503-519.

  7. Shoesmith, Gary L., 1992. "Non-cointegration and causality: Implications for VAR modeling," International Journal of Forecasting, Elsevier, vol. 8(2), pages 187-199, October.

    Cited by:

    1. Blinova, Tatiana, 1999. "Transition Economy and Regional Differentiation at the Russian Agrarian Labor Market," ERSA conference papers ersa99pa328, European Regional Science Association.
    2. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    3. James P. LeSage & Zheng Pan, 1995. "Using Spatial Contiguity as Bayesian Prior Information in Regional Forecasting Models," International Regional Science Review, , vol. 18(1), pages 33-53, January.
    4. Jan G. De Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Monash Econometrics and Business Statistics Working Papers 12/05, Monash University, Department of Econometrics and Business Statistics.
    5. Won Lee Kyung & James Schmidt & George Rejda, 1999. "Unemployment Insurance and State Economic Activity," International Economic Journal, Taylor & Francis Journals, vol. 13(3), pages 77-95.
    6. Ahking, Francis, W. & Pattanapancha, Maneechit, 2000. "The Linkage Between State and National Output: A Case Study of Connecticut," The Review of Regional Studies, Southern Regional Science Association, vol. 30(2), pages 137-145, Fall.

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