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Nikola Gradojevic

Personal Details

First Name:Nikola
Middle Name:
Last Name:Gradojevic
Suffix:
RePEc Short-ID:pgr194
[This author has chosen not to make the email address public]
https://www.uoguelph.ca/business/node/5744

Affiliation

Department of Economics and Finance
College of Business and Economics
University of Guelph

Guelph, Canada
http://www.uoguelph.ca/economics/

: (519) 824-4120 ext. 53898
(519) 763-8497
Guelph, Ontario, N1G 2W1
RePEc:edi:degueca (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Nikola Gradojevic, 2015. "Multi-criteria Classification for Pricing European Options," Working Paper series 15-13, Rimini Centre for Economic Analysis.
  2. Nikola Gradojevic & Marko Caric, 2015. "Predicting Systemic Risk with Entropic Indicators," Working Paper series 15-14, Rimini Centre for Economic Analysis.
  3. Ramazan Gençay & Nikola Gradojevic & Richard Olsen & Faruk Selçuk, 2015. "Informed traders' arrival in foreign exchange markets: Does geography matter?," Post-Print hal-01563055, HAL.
  4. Nikola Gradojevic, 2013. "Foreign exchange customers and dealers: Who’s driving whom?," Working Papers 2013-FIN-03, IESEG School of Management.
  5. Dragan Kukolj & Nikola Gradojevic & Camillo Lento, 2012. "Improving Non-Parametric Option Pricing during the Financial Crisis," Working Paper series 35_12, Rimini Centre for Economic Analysis.
  6. Nikola Gradojevic & Camillo Lento, 2012. "Multiscale Analysis of Foreign Exchange Order Flows and Technical Trading Profitability," Working Paper series 31_12, Rimini Centre for Economic Analysis.
  7. Ramazan Gencay & Nikola Gradojevic, 2009. "Crash of '87 - Was it Expected? Aggregate Market Fears and Long Range Dependence," Working Paper series 28_09, Rimini Centre for Economic Analysis.
  8. Nikola Gradojevic & Ramazan Gençay, 2009. "Overnight Interest Rates and Aggregate Market Expectations," Working Paper series 26_09, Rimini Centre for Economic Analysis.
  9. Ramazan Gencay & Nikola Gradojevic, 2009. "Errors-in-Variables Estimation with No Instruments," Working Paper series 30_09, Rimini Centre for Economic Analysis.
  10. Ramazan Gencay & Nikola Gradojevic & Faruk Selcuk, 2009. "Profitability in an Electronic Foreign Exchange Market: Informed Trading or Differences in Valuation?," Working Paper series 25_09, Rimini Centre for Economic Analysis.
  11. Nikola Gradojevic & Ramazan Gencay & Dragan Kukolj, 2009. "Option Pricing with Modular Neural Networks," Working Paper series 32_09, Rimini Centre for Economic Analysis.
  12. Ramazan Gencay & Nikola Gradojevic, 2009. "Informed Trading in an Electronic Foreign Exchange Market," Working Paper series 24_09, Rimini Centre for Economic Analysis.
  13. Ramazan Gencay & Nikola Gradojevic & Faruk Selcuk & Brandon Whitcher, 2009. "Asymmetry of Information Flow Between Volatilities Across Time Scales," Working Paper series 27_09, Rimini Centre for Economic Analysis.
  14. Nikola Gradojevic & Christopher J. Neely, 2008. "The dynamic interaction of order flows and the CAD/USD exchange rate," Working Papers 2008-006, Federal Reserve Bank of St. Louis.
  15. Nikola Gradojevic & Jing Yang, 2000. "The Application of Artificial Neural Networks to Exchange Rate Forecasting: The Role of Market Microstructure Variables," Staff Working Papers 00-23, Bank of Canada.

Articles

  1. Nikola Gradojevic & Marko Caric, 2017. "Predicting Systemic Risk with Entropic Indicators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(1), pages 16-25, January.
  2. Gradojevic, Nikola & Erdemlioglu, Deniz & Gençay, Ramazan, 2017. "Informativeness of trade size in foreign exchange markets," Economics Letters, Elsevier, vol. 150(C), pages 27-33.
  3. Gradojevic Nikola, 2016. "Multi-criteria classification for pricing European options," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(2), pages 123-139, April.
  4. Ramazan Gençay & Nikola Gradojevic & Richard Olsen & Faruk Selçuk, 2015. "Informed traders’ arrival in foreign exchange markets: Does geography matter?," Empirical Economics, Springer, vol. 49(4), pages 1431-1462, December.
  5. Gradojevic, Nikola & Lento, Camillo, 2015. "Multiscale analysis of foreign exchange order flows and technical trading profitability," Economic Modelling, Elsevier, vol. 47(C), pages 156-165.
  6. Gradojevic, Nikola, 2014. "Foreign exchange customers and dealers: Who’s driving whom?," Finance Research Letters, Elsevier, vol. 11(3), pages 213-218.
  7. Gradojevic, Nikola & Gençay, Ramazan, 2013. "Fuzzy logic, trading uncertainty and technical trading," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 578-586.
  8. Nikola Gradojević & Eldin Dobardžić, 2013. "Causality between Regional Stock Markets: A Frequency Domain Approach," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 60(5), pages 633-647, September.
  9. Gençay, Ramazan & Gradojevic, Nikola, 2013. "Private information and its origins in an electronic foreign exchange market," Economic Modelling, Elsevier, vol. 33(C), pages 86-93.
  10. Gradojevic, Nikola, 2012. "Frequency domain analysis of foreign exchange order flows," Economics Letters, Elsevier, vol. 115(1), pages 73-76.
  11. Nikola Gradojevic & Dragan Kukolj & Ramazan Gencay, 2011. "Clustering and Classification in Option Pricing," Review of Economic Analysis, Rimini Centre for Economic Analysis, vol. 3(2), pages 109-128, October.
  12. Nikola Gradojević & Vladimir Djaković & Goran Andjelić, 2010. "Random Walk Theory and Exchange Rate Dynamics in Transition Economies," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 57(3), pages 303-320, September.
  13. Ramazan Gencay & Nikola Gradojevic & Faruk Selcuk & Brandon Whitcher, 2010. "Asymmetry of information flow between volatilities across time scales," Quantitative Finance, Taylor & Francis Journals, vol. 10(8), pages 895-915.
  14. Gençay, Ramazan & Gradojevic, Nikola, 2010. "Crash of '87 -- Was it expected?: Aggregate market fears and long-range dependence," Journal of Empirical Finance, Elsevier, vol. 17(2), pages 270-282, March.
  15. Gradojevic, Nikola & Gencay, Ramazan, 2008. "Overnight interest rates and aggregate market expectations," Economics Letters, Elsevier, vol. 100(1), pages 27-30, July.
  16. Gradojevic, Nikola, 2007. "Non-linear, hybrid exchange rate modeling and trading profitability in the foreign exchange market," Journal of Economic Dynamics and Control, Elsevier, vol. 31(2), pages 557-574, February.
  17. Nikola Gradojevic, 2007. "A market microstructure analysis of the Canadian dollar depreciation episodes in the 1990s," Applied Financial Economics, Taylor & Francis Journals, vol. 17(17), pages 1377-1387.
  18. Gradojevic, Nikola, 2007. "The microstructure of the Canada/U.S. dollar exchange rate: A robustness test," Economics Letters, Elsevier, vol. 94(3), pages 426-432, March.
  19. C. Lento & N. Gradojevic & C. S. Wright, 2007. "Investment information content in Bollinger Bands?," Applied Financial Economics Letters, Taylor and Francis Journals, vol. 3(4), pages 263-267.
  20. Jing Yang & Nikola Gradojevic, 2006. "Non-linear, non-parametric, non-fundamental exchange rate forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(4), pages 227-245.

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. Ramazan Gençay & Nikola Gradojevic & Richard Olsen & Faruk Selçuk, 2015. "Informed traders' arrival in foreign exchange markets: Does geography matter?," Post-Print hal-01563055, HAL.

    Cited by:

    1. Gradojevic, Nikola & Erdemlioglu, Deniz & Gençay, Ramazan, 2017. "Informativeness of trade size in foreign exchange markets," Economics Letters, Elsevier, vol. 150(C), pages 27-33.

  2. Nikola Gradojevic, 2013. "Foreign exchange customers and dealers: Who’s driving whom?," Working Papers 2013-FIN-03, IESEG School of Management.

    Cited by:

    1. Batten, Jonathan A. & Lucey, Brian M. & Peat, Maurice, 2016. "Gold and silver manipulation: What can be empirically verified?," Economic Modelling, Elsevier, vol. 56(C), pages 168-176.

  3. Dragan Kukolj & Nikola Gradojevic & Camillo Lento, 2012. "Improving Non-Parametric Option Pricing during the Financial Crisis," Working Paper series 35_12, Rimini Centre for Economic Analysis.

    Cited by:

    1. Gradojevic Nikola, 2016. "Multi-criteria classification for pricing European options," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(2), pages 123-139, April.

  4. Nikola Gradojevic & Camillo Lento, 2012. "Multiscale Analysis of Foreign Exchange Order Flows and Technical Trading Profitability," Working Paper series 31_12, Rimini Centre for Economic Analysis.

    Cited by:

    1. Cheema, Muhammad A. & Nartea, Gilbert V & Man, Yimei, 2017. "Cross-Sectional and Time-Series Momentum Returns and Market States," MPRA Paper 78989, University Library of Munich, Germany.
    2. Ni, Yensen & Liao, Yi-Ching & Huang, Paoyu, 2015. "MA trading rules, herding behaviors, and stock market overreaction," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 253-265.
    3. Han, Liyan & Xu, Yang & Yin, Libo, 2018. "Does investor attention matter? The attention-return relationships in FX markets," Economic Modelling, Elsevier, vol. 68(C), pages 644-660.
    4. Bouoiyour, Jamal & Selmi, Refk, 2015. "Is the Internet Search Driving Oil Market? A Revisit through Time-Frequency approaches," MPRA Paper 66214, University Library of Munich, Germany.
    5. Burak Sencer Atasoy & Timur Han Gür, 2016. "Does the Wagner’s Hypothesis Hold for China? Evidence from Static and Dynamic Analyses," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 63(1), pages 45-60, March.

  5. Ramazan Gencay & Nikola Gradojevic, 2009. "Crash of '87 - Was it Expected? Aggregate Market Fears and Long Range Dependence," Working Paper series 28_09, Rimini Centre for Economic Analysis.

    Cited by:

    1. Loretta Mastroeni & Pierluigi Vellucci, 2016. "“Butterfly Effect" vs Chaos in Energy Futures Markets," Departmental Working Papers of Economics - University 'Roma Tre' 0209, Department of Economics - University Roma Tre.
    2. Alvarez-Ramirez, J. & Rodriguez, E. & Espinosa-Paredes, G., 2012. "A partisan effect in the efficiency of the US stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4923-4932.
    3. Bekiros, Stelios D., 2015. "Heuristic learning in intraday trading under uncertainty," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 34-49.
    4. Nikola Gradojevic & Marko Caric, 2017. "Predicting Systemic Risk with Entropic Indicators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(1), pages 16-25, January.
    5. Loretta Mastroeni & Pierluigi Vellucci, 2016. ""Butterfly Effect" vs Chaos in Energy Futures Markets," Papers 1610.05697, arXiv.org.
    6. Lutz, Chandler, 2015. "The impact of conventional and unconventional monetary policy on investor sentiment," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 89-105.
    7. Loretta Mastroeni & Pierluigi Vellucci, 2016. ""Chaos" in energy and commodity markets: a controversial matter," Papers 1611.07432, arXiv.org, revised Mar 2017.
    8. Benedetto, F. & Giunta, G. & Mastroeni, L., 2016. "On the predictability of energy commodity markets by an entropy-based computational method," Energy Economics, Elsevier, vol. 54(C), pages 302-312.
    9. Namaki, A. & Koohi Lai, Z. & Jafari, G.R. & Raei, R. & Tehrani, R., 2013. "Comparing emerging and mature markets during times of crises: A non-extensive statistical approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(14), pages 3039-3044.
    10. Bekiros, Stelios & Jlassi, Mouna & Lucey, Brian & Naoui, Kamel & Uddin, Gazi Salah, 2017. "Herding behavior, market sentiment and volatility: Will the bubble resume?," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 107-131.

  6. Nikola Gradojevic & Ramazan Gençay, 2009. "Overnight Interest Rates and Aggregate Market Expectations," Working Paper series 26_09, Rimini Centre for Economic Analysis.

    Cited by:

    1. Loretta Mastroeni & Pierluigi Vellucci, 2016. "“Butterfly Effect" vs Chaos in Energy Futures Markets," Departmental Working Papers of Economics - University 'Roma Tre' 0209, Department of Economics - University Roma Tre.
    2. Kuzubaş, Tolga Umut & Ömercikoğlu, Inci & Saltoğlu, Burak, 2014. "Network centrality measures and systemic risk: An application to the Turkish financial crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 203-215.
    3. Nikola Gradojevic & Marko Caric, 2017. "Predicting Systemic Risk with Entropic Indicators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(1), pages 16-25, January.
    4. Ramazan Gencay & Nikola Gradojevic, 2009. "Crash of '87 - Was it Expected? Aggregate Market Fears and Long Range Dependence," Working Paper series 28_09, Rimini Centre for Economic Analysis.
    5. Loretta Mastroeni & Pierluigi Vellucci, 2016. ""Butterfly Effect" vs Chaos in Energy Futures Markets," Papers 1610.05697, arXiv.org.
    6. Loretta Mastroeni & Pierluigi Vellucci, 2016. ""Chaos" in energy and commodity markets: a controversial matter," Papers 1611.07432, arXiv.org, revised Mar 2017.
    7. Namaki, A. & Koohi Lai, Z. & Jafari, G.R. & Raei, R. & Tehrani, R., 2013. "Comparing emerging and mature markets during times of crises: A non-extensive statistical approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(14), pages 3039-3044.
    8. Bekiros, Stelios & Jlassi, Mouna & Lucey, Brian & Naoui, Kamel & Uddin, Gazi Salah, 2017. "Herding behavior, market sentiment and volatility: Will the bubble resume?," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 107-131.

  7. Ramazan Gencay & Nikola Gradojevic, 2009. "Errors-in-Variables Estimation with No Instruments," Working Paper series 30_09, Rimini Centre for Economic Analysis.

    Cited by:

    1. Huijun Guo & Youming Liu, 2017. "Strong consistency of wavelet estimators for errors-in-variables regression model," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 69(1), pages 121-144, February.
    2. Reese, Simon & Li, Yushu, 2013. "Testing for Structural Breaks in the Presence of Data Perturbations: Impacts and Wavelet Based Improvements," Working Papers 2013:36, Lund University, Department of Economics.
    3. Stelios Bekiros & Duc Khuong Nguyen & Gazi Salah Uddin & Bo Sjö, 2014. "Business Cycle (De)Synchronization in the Aftermath of the Global Financial Crisis: Implications for the Euro Area," Working Papers 2014-437, Department of Research, Ipag Business School.
    4. Bruzda Joanna, 2015. "Amplitude and phase synchronization of European business cycles: a wavelet approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 625-655, December.
    5. Chen Yi-Ting & Sun Edward W. & Yu Min-Teh, 2015. "Improving model performance with the integrated wavelet denoising method," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(4), pages 445-467, September.

  8. Ramazan Gencay & Nikola Gradojevic & Faruk Selcuk, 2009. "Profitability in an Electronic Foreign Exchange Market: Informed Trading or Differences in Valuation?," Working Paper series 25_09, Rimini Centre for Economic Analysis.

    Cited by:

    1. Bekiros, Stelios D., 2015. "Heuristic learning in intraday trading under uncertainty," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 34-49.

  9. Nikola Gradojevic & Ramazan Gencay & Dragan Kukolj, 2009. "Option Pricing with Modular Neural Networks," Working Paper series 32_09, Rimini Centre for Economic Analysis.

    Cited by:

    1. Gradojevic Nikola, 2016. "Multi-criteria classification for pricing European options," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(2), pages 123-139, April.
    2. Yongxin Yang & Yu Zheng & Timothy M. Hospedales, 2016. "Gated Neural Networks for Option Pricing: Rationality by Design," Papers 1609.07472, arXiv.org, revised Nov 2016.
    3. Ortíz Arango Francisco & Cabrera Llanos Agustín Ignacio & López Herrera Francisco, 2013. "Pronóstico de los índices accionarios DAX y S&P 500 con redes neuronales diferenciales," Contaduría y Administración, Accounting and Management, vol. 58(3), pages 203-225, julio-sep.
    4. Dragan Kukolj & Nikola Gradojevic & Camillo Lento, 2012. "Improving Non-Parametric Option Pricing during the Financial Crisis," Working Paper series 35_12, Rimini Centre for Economic Analysis.
    5. Nikola Gradojevic & Dragan Kukolj & Ramazan Gencay, 2011. "Clustering and Classification in Option Pricing," Review of Economic Analysis, Rimini Centre for Economic Analysis, vol. 3(2), pages 109-128, October.

  10. Ramazan Gencay & Nikola Gradojevic, 2009. "Informed Trading in an Electronic Foreign Exchange Market," Working Paper series 24_09, Rimini Centre for Economic Analysis.

    Cited by:

    1. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.

  11. Ramazan Gencay & Nikola Gradojevic & Faruk Selcuk & Brandon Whitcher, 2009. "Asymmetry of Information Flow Between Volatilities Across Time Scales," Working Paper series 27_09, Rimini Centre for Economic Analysis.

    Cited by:

    1. Jozef Barunik & Lukas Vacha, 2015. "Realized wavelet-based estimation of integrated variance and jumps in the presence of noise," Quantitative Finance, Taylor & Francis Journals, vol. 15(8), pages 1347-1364, August.
    2. Takaki Hayashi & Yuta Koike, 2017. "Multi-scale analysis of lead-lag relationships in high-frequency financial markets," Papers 1708.03992, arXiv.org, revised Feb 2018.
    3. Bekiros, Stelios D., 2015. "Heuristic learning in intraday trading under uncertainty," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 34-49.
    4. Benhmad, François, 2012. "Modeling nonlinear Granger causality between the oil price and U.S. dollar: A wavelet based approach," Economic Modelling, Elsevier, vol. 29(4), pages 1505-1514.
    5. Jozef Baruník & Evžen Kocenda & Lukáš Vácha, 2015. "Gold, Oil, and Stocks: Dynamic Correlations," CESifo Working Paper Series 5333, CESifo Group Munich.
    6. Gallegati, Marco & Ramsey, James B., 2013. "Bond vs stock market's Q: Testing for stability across frequencies and over time," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 138-150.
    7. Thomas Conlon & John Cotter, 2012. "Downside risk and the energy hedger's horizon," Working Papers 201219, Geary Institute, University College Dublin.
    8. Kaijian He & Kin Keung Lai & Guocheng Xiang, 2012. "Portfolio Value at Risk Estimate for Crude Oil Markets: A Multivariate Wavelet Denoising Approach," Energies, MDPI, Open Access Journal, vol. 5(4), pages 1-26, April.
    9. Chakrabarty, Anindya & De, Anupam & Gunasekaran, Angappa & Dubey, Rameshwar, 2015. "Investment horizon heterogeneity and wavelet: Overview and further research directions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 45-61.
    10. Michis, Antonis A., 2014. "Investing in gold: Individual asset risk in the long run," Finance Research Letters, Elsevier, vol. 11(4), pages 369-374.
    11. Christian M. Hafner, 2012. "Cross-correlating wavelet coefficients with applications to high-frequency financial time series," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(6), pages 1363-1379, December.
    12. Dieter Hendricks & Tim Gebbie & Diane Wilcox, 2015. "Detecting intraday financial market states using temporal clustering," Papers 1508.04900, arXiv.org, revised Feb 2017.
    13. Das, Debojyoti & Bhowmik, Puja & Jana, R.K., 2018. "A multiscale analysis of stock return co-movements and spillovers: Evidence from Pacific developed markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 379-393.
    14. François Benhmad, 2011. "A wavelet analysis of oil price volatility dynamic," Economics Bulletin, AccessEcon, vol. 31(1), pages 792-806.
    15. Swastika, Purti & Dewandaru, Ginanjar & Masih, Mansur, 2013. "The Impact of Debt on Economic Growth: A Case Study of Indonesia," MPRA Paper 58837, University Library of Munich, Germany.
    16. W. D. Chen & H. C. Li, 2016. "Wavelet decomposition of heterogeneous investment horizon," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 40(4), pages 714-734, October.
    17. Alessandro Cardinali, 2009. "A Generalized Multiscale Analysis Of The Predictive Content Of Eurodollar Implied Volatilities," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 12(01), pages 1-18.
    18. Saâdaoui, Foued & Naifar, Nader & Aldohaiman, Mohamed S., 2017. "Predictability and co-movement relationships between conventional and Islamic stock market indexes: A multiscale exploration using wavelets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 552-568.
    19. Marco Gallegati & Mauro Gallegati & James B. Ramsey & Willi Semmler, 2017. "Long waves in prices: new evidence from wavelet analysis," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 11(1), pages 127-151, January.
    20. Jozef Barun'ik & Evv{z}en Kov{c}enda, 2018. "Total, asymmetric and frequency connectedness between oil and forex markets," Papers 1805.03980, arXiv.org.
    21. Sun, Edward W. & Chen, Yi-Ting & Yu, Min-Teh, 2015. "Generalized optimal wavelet decomposing algorithm for big financial data," International Journal of Production Economics, Elsevier, vol. 165(C), pages 194-214.

  12. Nikola Gradojevic & Christopher J. Neely, 2008. "The dynamic interaction of order flows and the CAD/USD exchange rate," Working Papers 2008-006, Federal Reserve Bank of St. Louis.

    Cited by:

    1. Jacob Gyntelberg & Mico Loretan & Tientip Subhanij & Eric Chan, 2009. "Private information, stock markets, and exchange rates," BIS Working Papers 271, Bank for International Settlements.
    2. King, Michael & Sarno, Lucio & Sojli, Elvira, 2010. "Timing exchange rates using order flow: The case of the Loonie," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 2917-2928, December.

  13. Nikola Gradojevic & Jing Yang, 2000. "The Application of Artificial Neural Networks to Exchange Rate Forecasting: The Role of Market Microstructure Variables," Staff Working Papers 00-23, Bank of Canada.

    Cited by:

    1. Martha A. Misas A. & Enrique López E. & Carlos A. Arango A. & Juan Nicolás Hernández A., 2004. "No-linealidades en la demanda de efectivo en Colombia: las redes neuronales como herramienta de pronóstico," Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 22(45), pages 10-57, Junio.
    2. Martha Misas & Enrique López & Carlos Arango & Juan Nicolás Hernández, 2003. "La Demanda de Efectivo en Colombia: Una Caja Negra a la Luz de las Redes Neuronales," Borradores de Economia 268, Banco de la Republica de Colombia.
    3. Martha Misas & Enrique López & Pablo Querubín, 2002. "La Inflación en Colombia: Una Aproximación desde las Redes Neuronales," Borradores de Economia 199, Banco de la Republica de Colombia.
    4. Ghaffari, Ali & Zare, Samaneh, 2009. "A novel algorithm for prediction of crude oil price variation based on soft computing," Energy Economics, Elsevier, vol. 31(4), pages 531-536, July.
    5. Cem Kadilar & Muammer Simsek & Cagdas Hakan Aladag, 2009. "Forecasting The Exchange Rate Series With Ann: The Case Of Turkey," Istanbul University Econometrics and Statistics e-Journal, Department of Econometrics, Faculty of Economics, Istanbul University, vol. 9(1), pages 17-29, May.

Articles

  1. Gradojevic, Nikola & Erdemlioglu, Deniz & Gençay, Ramazan, 2017. "Informativeness of trade size in foreign exchange markets," Economics Letters, Elsevier, vol. 150(C), pages 27-33.

    Cited by:

    1. Nihad Aliyev & Xue-Zhong He, 2017. "Ambiguous Market Making," Research Paper Series 383, Quantitative Finance Research Centre, University of Technology, Sydney.

  2. Ramazan Gençay & Nikola Gradojevic & Richard Olsen & Faruk Selçuk, 2015. "Informed traders’ arrival in foreign exchange markets: Does geography matter?," Empirical Economics, Springer, vol. 49(4), pages 1431-1462, December.
    See citations under working paper version above.
  3. Gradojevic, Nikola & Lento, Camillo, 2015. "Multiscale analysis of foreign exchange order flows and technical trading profitability," Economic Modelling, Elsevier, vol. 47(C), pages 156-165.
    See citations under working paper version above.
  4. Gradojevic, Nikola, 2014. "Foreign exchange customers and dealers: Who’s driving whom?," Finance Research Letters, Elsevier, vol. 11(3), pages 213-218.
    See citations under working paper version above.
  5. Gradojevic, Nikola & Gençay, Ramazan, 2013. "Fuzzy logic, trading uncertainty and technical trading," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 578-586.

    Cited by:

    1. Ülkü, Numan & Prodan, Eugeniu, 2013. "Drivers of technical trend-following rules' profitability in world stock markets," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 214-229.
    2. Cheema, Muhammad A. & Nartea, Gilbert V & Man, Yimei, 2017. "Cross-Sectional and Time-Series Momentum Returns and Market States," MPRA Paper 78989, University Library of Munich, Germany.
    3. Massimiliano Caporin & Angelo Ranaldo & Paolo Santucci de Magistris, 2011. "On the Predictability of Stock Prices: A Case for High and Low Prices," "Marco Fanno" Working Papers 0136, Dipartimento di Scienze Economiche "Marco Fanno".
    4. Liu, Xiaojia & An, Haizhong & Wang, Lijun & Guan, Qing, 2017. "Quantified moving average strategy of crude oil futures market based on fuzzy logic rules and genetic algorithms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 444-457.
    5. Ni, Yensen & Liao, Yi-Ching & Huang, Paoyu, 2015. "MA trading rules, herding behaviors, and stock market overreaction," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 253-265.
    6. Ghandar, Adam & Michalewicz, Zbigniew & Zurbruegg, Ralf, 2016. "The relationship between model complexity and forecasting performance for computer intelligence optimization in finance," International Journal of Forecasting, Elsevier, vol. 32(3), pages 598-613.

  6. Nikola Gradojević & Eldin Dobardžić, 2013. "Causality between Regional Stock Markets: A Frequency Domain Approach," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 60(5), pages 633-647, September.

    Cited by:

    1. Dragan Tevdovski, 2014. "Extreme negative coexceedances in South Eastern European stock markets," CREATES Research Papers 2014-18, Department of Economics and Business Economics, Aarhus University.

  7. Gençay, Ramazan & Gradojevic, Nikola, 2013. "Private information and its origins in an electronic foreign exchange market," Economic Modelling, Elsevier, vol. 33(C), pages 86-93.

    Cited by:

    1. Kitamura, Yoshihiro, 2016. "The probability of informed trading measured with price impact, price reversal, and volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 42(C), pages 77-90.
    2. Gradojevic, Nikola & Erdemlioglu, Deniz & Gençay, Ramazan, 2017. "Informativeness of trade size in foreign exchange markets," Economics Letters, Elsevier, vol. 150(C), pages 27-33.
    3. Eun, Cheol S. & Kim, Soo-Hyun & Lee, Kyuseok, 2015. "Currency competition between the dollar and euro: Evidence from exchange rate behaviors," Finance Research Letters, Elsevier, vol. 12(C), pages 100-108.
    4. Ramazan Gençay & Nikola Gradojevic & Richard Olsen & Faruk Selçuk, 2015. "Informed traders' arrival in foreign exchange markets: Does geography matter?," Post-Print hal-01563055, HAL.

  8. Gradojevic, Nikola, 2012. "Frequency domain analysis of foreign exchange order flows," Economics Letters, Elsevier, vol. 115(1), pages 73-76.

    Cited by:

    1. Nikola Gradojevic & Camillo Lento, 2012. "Multiscale Analysis of Foreign Exchange Order Flows and Technical Trading Profitability," Working Paper series 31_12, Rimini Centre for Economic Analysis.
    2. Nikola Gradojević & Eldin Dobardžić, 2013. "Causality between Regional Stock Markets: A Frequency Domain Approach," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 60(5), pages 633-647, September.

  9. Nikola Gradojević & Vladimir Djaković & Goran Andjelić, 2010. "Random Walk Theory and Exchange Rate Dynamics in Transition Economies," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 57(3), pages 303-320, September.

    Cited by:

    1. Nedeljković, Milan & Urošević, Branko, 2012. "Determinants of the Dinar-Euro Nominal Exchange Rate," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 121-141, September.
    2. Ciumas Cristina & Chis Diana-Maria & Botos Horia Mircea, 2012. "Global Financial Crisis And Unit-Linked Insurance Markets Efficiency: Empirical Evidence From Central And Eastern European Countries," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pages 443-448, December.
    3. Nikola Gradojević & Eldin Dobardžić, 2013. "Causality between Regional Stock Markets: A Frequency Domain Approach," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 60(5), pages 633-647, September.
    4. Milan Nedeljkovic & Branko Urosevic, 2011. "Determinants of the Dinar-Euro Nominal Exchange Rate," Working papers 18, National Bank of Serbia.

  10. Ramazan Gencay & Nikola Gradojevic & Faruk Selcuk & Brandon Whitcher, 2010. "Asymmetry of information flow between volatilities across time scales," Quantitative Finance, Taylor & Francis Journals, vol. 10(8), pages 895-915.
    See citations under working paper version above.
  11. Gençay, Ramazan & Gradojevic, Nikola, 2010. "Crash of '87 -- Was it expected?: Aggregate market fears and long-range dependence," Journal of Empirical Finance, Elsevier, vol. 17(2), pages 270-282, March.
    See citations under working paper version above.
  12. Gradojevic, Nikola & Gencay, Ramazan, 2008. "Overnight interest rates and aggregate market expectations," Economics Letters, Elsevier, vol. 100(1), pages 27-30, July.
    See citations under working paper version above.
  13. Gradojevic, Nikola, 2007. "Non-linear, hybrid exchange rate modeling and trading profitability in the foreign exchange market," Journal of Economic Dynamics and Control, Elsevier, vol. 31(2), pages 557-574, February.

    Cited by:

    1. Gradojevic, Nikola & Gençay, Ramazan, 2013. "Fuzzy logic, trading uncertainty and technical trading," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 578-586.
    2. Todea, Alexandru & Zoicas Ienciu, Adrian, 2011. "Technical Analysis and Stochastic Properties of Exchange Rate Movements: Empirical Evidence from the Romanian Currency Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 175-192, March.
    3. Bekiros, Stelios D., 2010. "Heterogeneous trading strategies with adaptive fuzzy Actor-Critic reinforcement learning: A behavioral approach," Journal of Economic Dynamics and Control, Elsevier, vol. 34(6), pages 1153-1170, June.
    4. Ghandar, Adam & Michalewicz, Zbigniew & Zurbruegg, Ralf, 2016. "The relationship between model complexity and forecasting performance for computer intelligence optimization in finance," International Journal of Forecasting, Elsevier, vol. 32(3), pages 598-613.
    5. Tabak, Benjamin M. & Lima, Eduardo J.A., 2009. "Market efficiency of Brazilian exchange rate: Evidence from variance ratio statistics and technical trading rules," European Journal of Operational Research, Elsevier, vol. 194(3), pages 814-820, May.

  14. Gradojevic, Nikola, 2007. "The microstructure of the Canada/U.S. dollar exchange rate: A robustness test," Economics Letters, Elsevier, vol. 94(3), pages 426-432, March.

    Cited by:

    1. Nikola Gradojevic & Christopher J. Neely, 2008. "The dynamic interaction of order flows and the CAD/USD exchange rate," Working Papers 2008-006, Federal Reserve Bank of St. Louis.
    2. Nikola Gradojevic & Camillo Lento, 2012. "Multiscale Analysis of Foreign Exchange Order Flows and Technical Trading Profitability," Working Paper series 31_12, Rimini Centre for Economic Analysis.
    3. Ramazan Gençay & Nikola Gradojevic & Richard Olsen & Faruk Selçuk, 2015. "Informed traders' arrival in foreign exchange markets: Does geography matter?," Post-Print hal-01563055, HAL.
    4. Nikola Gradojević & Vladimir Djaković & Goran Andjelić, 2010. "Random Walk Theory and Exchange Rate Dynamics in Transition Economies," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 57(3), pages 303-320, September.
    5. King, Michael & Sarno, Lucio & Sojli, Elvira, 2010. "Timing exchange rates using order flow: The case of the Loonie," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 2917-2928, December.
    6. Chen, Pei-wen & Huang, Han-ching & Su, Yong-chern, 2014. "The central bank in market efficiency: The case of Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 239-260.
    7. Gradojevic, Nikola, 2012. "Frequency domain analysis of foreign exchange order flows," Economics Letters, Elsevier, vol. 115(1), pages 73-76.

  15. C. Lento & N. Gradojevic & C. S. Wright, 2007. "Investment information content in Bollinger Bands?," Applied Financial Economics Letters, Taylor and Francis Journals, vol. 3(4), pages 263-267.

    Cited by:

    1. Xiao-Xu Yan & Yuan-Biao Zhang & Xin-Kun Lv & Zi-Yu Li, 2017. "Improvement and Test of Stock Index Futures Trading Model Based on Bollinger Bands," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(1), pages 78-87, January.
    2. Lubnau, Thorben & Todorova, Neda, 2015. "Trading on mean-reversion in energy futures markets," Energy Economics, Elsevier, vol. 51(C), pages 312-319.
    3. Kim man Lui & Terence T. L. Chong, 2013. "Do Technical Analysts Outperform Novice Traders: Experimental Evidence," Economics Bulletin, AccessEcon, vol. 33(4), pages 3080-3087.
    4. Ni, Yensen & Liao, Yi-Ching & Huang, Paoyu, 2015. "MA trading rules, herding behaviors, and stock market overreaction," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 253-265.
    5. Lubnau, Thorben, 2014. "Spread trading strategies in the crude oil futures market," Discussion Papers 353, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    6. Strobel, Marcus & Auer, Benjamin R., 2018. "Does the predictive power of variable moving average rules vanish over time and can we explain such tendencies?," International Review of Economics & Finance, Elsevier, vol. 53(C), pages 168-184.
    7. Gerritsen, Dirk F., 2016. "Are chartists artists? The determinants and profitability of recommendations based on technical analysis," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 179-196.

  16. Jing Yang & Nikola Gradojevic, 2006. "Non-linear, non-parametric, non-fundamental exchange rate forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(4), pages 227-245.

    Cited by:

    1. Emekter, Riza & Jirasakuldech, Benjamas & Snaith, Sean M., 2009. "Nonlinear dynamics in foreign exchange excess returns: Tests of asymmetry," Journal of Multinational Financial Management, Elsevier, vol. 19(3), pages 179-192, July.
    2. David E. Allen & Michael McAleer & Shelton Peiris & Abhay K. Singh, 2015. "Nonlinear Time Series and Neural-Network Models of Exchange Rates between the US Dollar and Major Currencies," Tinbergen Institute Discussion Papers 15-125/III, Tinbergen Institute.
    3. Angela He & Alan Wan, 2009. "Predicting daily highs and lows of exchange rates: a cointegration analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(11), pages 1191-1204.
    4. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, Elsevier.
    5. Blaskowitz, Oliver & Herwartz, Helmut, 2014. "Testing the value of directional forecasts in the presence of serial correlation," International Journal of Forecasting, Elsevier, vol. 30(1), pages 30-42.
    6. Cerrato, Mario & Kim, Hyunsok & MacDonald, Ronald, 2015. "Microstructure order flow: statistical and economic evaluation of nonlinear forecasts," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 40-52.
    7. Olcay Erdogan & Ali Goksu, 2014. "Forecasting Euro and Turkish Lira Exchange Rates with Artificial Neural Networks (ANN)," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(4), pages 307-316, October.
    8. Gradojevic, Nikola, 2007. "Non-linear, hybrid exchange rate modeling and trading profitability in the foreign exchange market," Journal of Economic Dynamics and Control, Elsevier, vol. 31(2), pages 557-574, February.
    9. Oliver Blaskowitz & Helmut Herwartz, 2008. "Testing directional forecast value in the presence of serial correlation," SFB 649 Discussion Papers SFB649DP2008-073, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    10. Tasadduq Imam & Kevin Tickle & Abdullahi Ahmed & William Guo, 2012. "Linear Relationship Between The Aud/Usd Exchange Rate And The Respective Stock Market Indices: A Computational Finance Perspective," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(1), pages 19-42, January.
    11. Chen, Pei-wen & Huang, Han-ching & Su, Yong-chern, 2014. "The central bank in market efficiency: The case of Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 239-260.
    12. Gradojevic, Nikola, 2007. "The microstructure of the Canada/U.S. dollar exchange rate: A robustness test," Economics Letters, Elsevier, vol. 94(3), pages 426-432, March.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-IFN: International Finance (2) 2001-02-08 2008-02-16
  2. NEP-MST: Market Microstructure (2) 2008-02-16 2012-06-25
  3. NEP-BAN: Banking (1) 2015-04-02
  4. NEP-CBA: Central Banking (1) 2008-02-16
  5. NEP-CMP: Computational Economics (1) 2015-04-02
  6. NEP-ECM: Econometrics (1) 2001-02-08
  7. NEP-ETS: Econometric Time Series (1) 2001-02-08
  8. NEP-FMK: Financial Markets (1) 2001-02-08
  9. NEP-NET: Network Economics (1) 2001-02-08
  10. NEP-RMG: Risk Management (1) 2015-04-02

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