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Ahmet Goncu

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First Name:Ahmet
Middle Name:
Last Name:Goncu
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RePEc Short-ID:pgo527
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http://www.xjtlu.edu.cn/en/faculty/academic-subject-staff/item/80-ahmet-goncu.html

Affiliation

Xian Jiaotong Liverpool University

http://www.xjtlu.edu.cn/en/
China, Suzhou

Research output

as
Jump to: Working papers Articles

Working papers

  1. Ahmet Goncu, 2014. "Statistical Arbitrage in the Black-Scholes Framework," Papers 1406.5646, arXiv.org, revised Aug 2014.
  2. Ahmet Göncü & Mehmet Oguz Karahan & Tolga Umut Kuzubas, 2014. "A Comparative Goodness-of-fit Analysis of Distributions of Some Levy Processes and Heston Model to Stock Index Returns," Working Papers 2014/07, Bogazici University, Department of Economics.
  3. Serli Kiremitciyan & Ahmet Goncu & Tolga Umut Kuzubas, 2014. "A Comparison of Stochastic Models of Natural Gas Consumption," Working Papers 2014/10, Bogazici University, Department of Economics.
  4. Oguzhan Cepni & Ahmet Goncu & Mehmet Oguz Karahan & Tolga Umut Kuzubas, 2013. "Goodness-of-fit of the Heston, Variance-Gamma and Normal-Inverse Gaussian Models," Working Papers 2013/16, Bogazici University, Department of Economics.
  5. Ahmet Goncu & Mehmet Oguz Karahan & Tolga Umut Kuzubas, 2013. "Forecasting Daily Residential Natural Gas Consumption: A Dynamic Temperature Modelling Approach," Working Papers 2013/11, Bogazici University, Department of Economics.

Articles

  1. Göncü, Ahmet & Karahan, Mehmet Oğuz & Kuzubaş, Tolga Umut, 2016. "A comparative goodness-of-fit analysis of distributions of some Lévy processes and Heston model to stock index returns," The North American Journal of Economics and Finance, Elsevier, vol. 36(C), pages 69-83.
  2. Göncü, Ahmet & Yang, Hao, 2016. "Variance-Gamma and Normal-Inverse Gaussian models: Goodness-of-fit to Chinese high-frequency index returns," The North American Journal of Economics and Finance, Elsevier, vol. 36(C), pages 279-292.
  3. Ahmet Göncü & Erdinç Akyıldırım, 2016. "Statistical Arbitrage with Pairs Trading," International Review of Finance, International Review of Finance Ltd., vol. 16(2), pages 307-319, June.
  4. Wei Yuan & Ahmet Göncü & Giray Ökten, 2015. "Estimating sensitivities of temperature-based weather derivatives," Applied Economics, Taylor & Francis Journals, vol. 47(19), pages 1942-1955, April.
  5. Ahmet G�nc�, 2015. "Statistical arbitrage in the Black-Scholes framework," Quantitative Finance, Taylor & Francis Journals, vol. 15(9), pages 1489-1499, September.
  6. Ahmet GÖNCÜ & Mehmet Oğuz KARAHAN & Tolga Umut KUZUBAŞ, 2013. "A Stochastic Model for Natural Gas Consumption: An Application for Turkey," Iktisat Isletme ve Finans, Bilgesel Yayincilik, vol. 28(332), pages 33-46.
  7. Ahmet Göncü & Mehmet Oguz Karahan & Tolga Umut Kuzubas, 2013. "Fitting the Variance-Gamma Model: A Goodness-of-Fit Check for Emerging Markets," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 27(2), pages 1-10.
  8. Ahmet Goncu, 2011. "Pricing temperature-based weather contracts: an application to China," Applied Economics Letters, Taylor & Francis Journals, vol. 18(14), pages 1349-1354.
  9. Ahmet GÖNCÜ & Mehmet Oguz KARAHAN & Tolga Umut KUZUBAŞ, 2011. "Pricing of temperature-based weather options for Turkey," Iktisat Isletme ve Finans, Bilgesel Yayincilik, vol. 26(309), pages 33-50.
    RePEc:taf:apfiec:v:22:y:2012:i:9:p:723-732 is not listed on IDEAS
    RePEc:eme:jrfpps:v:14:y:2013:i:2:p:159-178 is not listed on IDEAS
    RePEc:mth:ifb888:v:1:y:2014:i:1:p:74-85 is not listed on IDEAS
    RePEc:eme:jrfpps:v:13:y:2011:i:1:p:32-44 is not listed on IDEAS

Citations

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

Working papers

  1. Ahmet Goncu, 2014. "Statistical Arbitrage in the Black-Scholes Framework," Papers 1406.5646, arXiv.org, revised Aug 2014.

    Cited by:

    1. Erdinc Akyildirim & Ahmet Goncu & Alper Hekimoglu & Duc Khuong Nguyen & Ahmet Sensoy, 2023. "Statistical arbitrage: factor investing approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(4), pages 1295-1331, December.

  2. Ahmet Göncü & Mehmet Oguz Karahan & Tolga Umut Kuzubas, 2014. "A Comparative Goodness-of-fit Analysis of Distributions of Some Levy Processes and Heston Model to Stock Index Returns," Working Papers 2014/07, Bogazici University, Department of Economics.

    Cited by:

    1. Till Massing, 2019. "What is the best Lévy model for stock indices? A comparative study with a view to time consistency," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(3), pages 277-344, September.
    2. Gong, Xiao-Li & Xiong, Xiong, 2021. "Multi-objective portfolio optimization under tempered stable Lévy distribution with Copula dependence," Finance Research Letters, Elsevier, vol. 38(C).
    3. Till Massing & Arturo Ramos, 2023. "Student't mixture models for stock indices. A comparative study," Papers 2308.10023, arXiv.org.
    4. Ricardo Crisóstomo, 2017. "Speed and biases of Fourier-based pricing choices: Analysis of the Bates and Asymmetric Variance Gamma models," CNMV Working Papers CNMV Working Papers no. 6, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
    5. Endres, Sylvia & Stübinger, Johannes, 2018. "A flexible regime switching model with pairs trading application to the S&P 500 high-frequency stock returns," FAU Discussion Papers in Economics 07/2018, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    6. Marc Ditzhaus & Daniel Gaigall, 2022. "Testing marginal homogeneity in Hilbert spaces with applications to stock market returns," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(3), pages 749-770, September.

  3. Oguzhan Cepni & Ahmet Goncu & Mehmet Oguz Karahan & Tolga Umut Kuzubas, 2013. "Goodness-of-fit of the Heston, Variance-Gamma and Normal-Inverse Gaussian Models," Working Papers 2013/16, Bogazici University, Department of Economics.

    Cited by:

    1. Olivia Andreea Baciu, 2015. "Generalized Hyperbolic Distributions: Empirical Evidence on Bucharest Stock Exchange," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 7(1), pages 007-018, June.

  4. Ahmet Goncu & Mehmet Oguz Karahan & Tolga Umut Kuzubas, 2013. "Forecasting Daily Residential Natural Gas Consumption: A Dynamic Temperature Modelling Approach," Working Papers 2013/11, Bogazici University, Department of Economics.

    Cited by:

    1. Spoladore, Alessandro & Borelli, Davide & Devia, Francesco & Mora, Flavio & Schenone, Corrado, 2016. "Model for forecasting residential heat demand based on natural gas consumption and energy performance indicators," Applied Energy, Elsevier, vol. 182(C), pages 488-499.

Articles

  1. Göncü, Ahmet & Karahan, Mehmet Oğuz & Kuzubaş, Tolga Umut, 2016. "A comparative goodness-of-fit analysis of distributions of some Lévy processes and Heston model to stock index returns," The North American Journal of Economics and Finance, Elsevier, vol. 36(C), pages 69-83.
    See citations under working paper version above.
  2. Göncü, Ahmet & Yang, Hao, 2016. "Variance-Gamma and Normal-Inverse Gaussian models: Goodness-of-fit to Chinese high-frequency index returns," The North American Journal of Economics and Finance, Elsevier, vol. 36(C), pages 279-292.

    Cited by:

    1. Sharif Mozumder & Arafatur Rahman, 2016. "Market Risk Of Investment In Us Subprime Crisis: Comparison Of A Pure Diffusion And A Pure Jump Model," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(03), pages 1-17, September.
    2. Michael P. B. Gallaugher & Salvatore D. Tomarchio & Paul D. McNicholas & Antonio Punzo, 2022. "Multivariate cluster weighted models using skewed distributions," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(1), pages 93-124, March.
    3. Ñíguez, Trino-Manuel & Perote, Javier, 2017. "Moments expansion densities for quantifying financial risk," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 53-69.

  3. Ahmet Göncü & Erdinç Akyıldırım, 2016. "Statistical Arbitrage with Pairs Trading," International Review of Finance, International Review of Finance Ltd., vol. 16(2), pages 307-319, June.

    Cited by:

    1. Karen Balladares & José Pedro Ramos-Requena & Juan Evangelista Trinidad-Segovia & Miguel Angel Sánchez-Granero, 2021. "Statistical Arbitrage in Emerging Markets: A Global Test of Efficiency," Mathematics, MDPI, vol. 9(2), pages 1-20, January.
    2. Endres, Sylvia & Stübinger, Johannes, 2017. "Optimal trading strategies for Lévy-driven Ornstein-Uhlenbeck processes," FAU Discussion Papers in Economics 17/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    3. Alexander Lipton & Marcos Lopez de Prado, 2020. "A closed-form solution for optimal mean-reverting trading strategies," Papers 2003.10502, arXiv.org.
    4. Endres, Sylvia & Stübinger, Johannes, 2018. "A flexible regime switching model with pairs trading application to the S&P 500 high-frequency stock returns," FAU Discussion Papers in Economics 07/2018, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    5. Geetu Aggarwal & Navdeep Aggarwal, 2021. "Risk-adjusted Returns from Statistical Arbitrage Opportunities in Indian Stock Futures Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(1), pages 79-99, March.

  4. Wei Yuan & Ahmet Göncü & Giray Ökten, 2015. "Estimating sensitivities of temperature-based weather derivatives," Applied Economics, Taylor & Francis Journals, vol. 47(19), pages 1942-1955, April.

    Cited by:

    1. Tak Kuen Siu & Robert J. Elliott, 2019. "Hedging Options In A Doubly Markov-Modulated Financial Market Via Stochastic Flows," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(08), pages 1-41, December.

  5. Ahmet G�nc�, 2015. "Statistical arbitrage in the Black-Scholes framework," Quantitative Finance, Taylor & Francis Journals, vol. 15(9), pages 1489-1499, September.
    See citations under working paper version above.
  6. Ahmet GÖNCÜ & Mehmet Oğuz KARAHAN & Tolga Umut KUZUBAŞ, 2013. "A Stochastic Model for Natural Gas Consumption: An Application for Turkey," Iktisat Isletme ve Finans, Bilgesel Yayincilik, vol. 28(332), pages 33-46.

    Cited by:

    1. Serli Kiremitciyan & Ahmet Goncu & Tolga Umut Kuzubas, 2014. "A Comparison of Stochastic Models of Natural Gas Consumption," Working Papers 2014/10, Bogazici University, Department of Economics.

  7. Ahmet Göncü & Mehmet Oguz Karahan & Tolga Umut Kuzubas, 2013. "Fitting the Variance-Gamma Model: A Goodness-of-Fit Check for Emerging Markets," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 27(2), pages 1-10.

    Cited by:

    1. Mosiño, Alejandro & Salomón-Núñez, Laura A. & Moreno-Okuno, Alejandro T., 2017. "Estudio empírico sobre el tipo de cambio MXN/USD: Movimiento Browniano Geométrico vs. Proceso Varianza-Gamma [Empirical analysis of the MXN/USD exchange rate: geometric Brownian motion vs. variance," MPRA Paper 78961, University Library of Munich, Germany.
    2. Alejandro Mosiño & Alejandro Tatsuo Moreno-Okuno, 2018. "On modeling fossil fuel prices: geometric Brownian motion vs. variance-gamma process," Economics Bulletin, AccessEcon, vol. 38(1), pages 509-519.

  8. Ahmet Goncu, 2011. "Pricing temperature-based weather contracts: an application to China," Applied Economics Letters, Taylor & Francis Journals, vol. 18(14), pages 1349-1354.

    Cited by:

    1. Sun, Baojing, 2017. "Financial Weather Derivatives for Corn Production in Northeastern China: Modelling the Underlying Weather Index," Working Papers 257083, University of Victoria, Resource Economics and Policy.
    2. Sun, Baojing, 2017. "Financial Weather Derivatives for Corn Production in Northeastern China: Modelling the underlying Weather Index," Working Papers 263197, University of Victoria, Resource Economics and Policy.
    3. Baojing Sun & G. Cornelis van Kooten, 2014. "Financial Weather Options for Crop Production," Working Papers 2014-03, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    4. Baojing Sun, 2017. "Financial Weather Derivatives for Corn Production in Northeastern China: Modelling the underlying Weather Index," Working Papers 2017-05, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    5. Sun, Baojing & van Kooten, G. Cornelis, 2015. "Financial weather derivatives for corn production in Northern China: A comparison of pricing methods," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 201-209.

  9. Ahmet GÖNCÜ & Mehmet Oguz KARAHAN & Tolga Umut KUZUBAŞ, 2011. "Pricing of temperature-based weather options for Turkey," Iktisat Isletme ve Finans, Bilgesel Yayincilik, vol. 26(309), pages 33-50.

    Cited by:

    1. Ahmet Goncu & Mehmet Oguz Karahan & Tolga Umut Kuzubas, 2019. "Forecasting Daily Residential Natural Gas Consumption: A Dynamic Temperature Modelling Approach," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 33(1), pages 1-22.

More information

Research fields, statistics, top rankings, if available.

Statistics

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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 2 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-ENE: Energy Economics (2) 2013-08-31 2014-11-01
  2. NEP-FOR: Forecasting (1) 2013-08-31

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