Tore Selland Kleppe

Personal Details

First Name:	Tore
Middle Name:	Selland
Last Name:	Kleppe
Suffix:
RePEc Short-ID:	pkl71
	http://www.uib.no/People/tkl083/

Affiliation

Universitetet i Stavanger, Dept of Mathematics and Natural Sciences (University of Stavanger)

https://www.uis.no/fakulteter-institutter-sentre-og-museum/det-teknisk-naturvitenskapelige-fakultet/institutt-for-matematikk-og-naturvitenskap/
Stavanger, Norway

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. Atle Oglend & Petter Osmundsen & Tore Selland Kleppe, 2015. "Trade with Endogenous Transportation Costs: The Value of LNG Exports," CESifo Working Paper Series 5222, CESifo.
   • Øglend, Atle & Osmundsen, Petter & Kleppe, Tore Selland, 2015. "Trade with Endogenous Transportation Costs: The Value of LNG Exports," UiS Working Papers in Economics and Finance 2015/5, University of Stavanger.

   Cited by:

   1. Misund, Bård & Oglend, Atle, 2015. "Supply and Demand Determinants of Natural Gas Price Volatility in the U.K.: A Vector Autoregression Approach," UiS Working Papers in Economics and Finance 2015/10, University of Stavanger.
      • Misund, Bård & Oglend, Atle, 2016. "Supply and demand determinants of natural gas price volatility in the U.K.: A vector autoregression approach," Energy, Elsevier, vol. 111(C), pages 178-189.

2. Kleppe, Tore Selland & Liesenfeld, Roman, 2011. "Efficient high-dimensional importance sampling in mixture frameworks," Economics Working Papers 2011-11, Christian-Albrechts-University of Kiel, Department of Economics.

   Cited by:

   1. Tore Selland Kleppe & Jun Yu & Hans J. Skaug, 2012. "Simulated Maximum Likelihood Estimation for Latent Diffusion Models," Working Papers 12-2012, Singapore Management University, School of Economics.
      • Tore Selland Kleppe & Jun Yu & Hans J. skaug, 2011. "Simulated Maximum Likelihood Estimation for Latent Diffusion Models," Working Papers 10-2011, Singapore Management University, School of Economics.
      • Tore Selland Kleppe & Jun Yu & Hans J. Skaug, 2011. "Simulated Maximum Likelihood Estimation for Latent Diffusion Models," Working Papers CoFie-04-2011, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
   2. Kleppe, Tore Selland & Yu, Jun & Skaug, Hans J., 2014. "Maximum likelihood estimation of partially observed diffusion models," Journal of Econometrics, Elsevier, vol. 180(1), pages 73-80.

3. Tore Selland Kleppe & Jun Yu & Hans J. Skaug, 2010. "Estimating the GARCH Diffusion: Simulated Maximum Likelihood in Continuous Time," Working Papers 13-2010, Singapore Management University, School of Economics.

   Cited by:

   1. Christian M. Hafner & Sébastien Laurent & Francesco Violante, 2017. "Weak Diffusion Limits of Dynamic Conditional Correlation Models," Post-Print hal-01590010, HAL.
      • Christian M. HAFNER & Sébastien LAURENT & Francesco VIOLANTE, 2017. "Weak diffusion limits of dynamic conditional correlation models," LIDAM Reprints CORE 2866, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
      • Hafner, Christian & Laurent, Sebastien & Violante, Francesco, 2017. "Weak Diffusion Limits of Dynamic Conditional Correlation Models," LIDAM Reprints ISBA 2017014, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
      • Hafner, Christian M. & Laurent, Sebastien & Violante, Francesco, 2017. "Weak Diffusion Limits Of Dynamic Conditional Correlation Models," Econometric Theory, Cambridge University Press, vol. 33(3), pages 691-716, June.
      • Hafner, C. & Laurent, S. & Violante, F., 2016. "Weak Diffusion Limits of Dynamic Conditional Correlation Models," LIDAM Discussion Papers ISBA 2016034, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
      • HAFNER, Christian & LAURENT, Sebastien & VIOLANTE, Francesco, 2016. "Weak Diffusion Limits of Dynamic Conditional Correlation Models," LIDAM Discussion Papers CORE 2016009, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
      • Christian M. Hafner & Sebastien Laurent & Francesco Violante, 2015. "Weak diffusion limits of dynamic conditional correlation models," CREATES Research Papers 2015-03, Department of Economics and Business Economics, Aarhus University.

4. Tore Selland KLEPPE & Jun YU & Hans J. SKAUG, 2009. "Stimulated Maximum Likelihood Estimation of Continuous Time Stochastic Volatility Models," Working Papers 20-2009, Singapore Management University, School of Economics.
   • Tore Selland Kleppe & Jun Yu & H.J. Skaug, 2010. "Simulated maximum likelihood estimation of continuous time stochastic volatility models," Advances in Econometrics, in: Maximum Simulated Likelihood Methods and Applications, pages 137-161, Emerald Group Publishing Limited.
   • Tore Selland Kleppe & Hans J. Skaug & Jun Yu, 2009. "Simulated Maximum Likelihood Estimation of Continuous Time Stochastic Volatility Models," Working Papers CoFie-09-2009, Singapore Management University, Sim Kee Boon Institute for Financial Economics.

   Cited by:

   1. Niu Wei-Fang, 2013. "Maximum likelihood estimation of continuous time stochastic volatility models with partially observed GARCH," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(4), pages 421-438, September.

Articles

1. Atle Oglend, Petter Osmundsen, and Tore Selland Kleppe, 2020. "Time Commitments in LNG Shipping and Natural Gas Price Convergence," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 29-46.

   Cited by:

   1. Hupka, Yuri & Popova, Ivilina & Simkins, Betty & Lee, Thomas, 2023. "A review of the literature on LNG: Hubs development, market integration, and price discovery," Journal of Commodity Markets, Elsevier, vol. 31(C).

2. Tore S. Kleppe & Atle Oglend, 2019. "Can limits‐to‐arbitrage from bounded storage improve commodity term‐structure modeling?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(7), pages 865-889, July.

   Cited by:

   1. Kleppe, Tore Selland & Liesenfeld, Roman & Moura, Guilherme Valle & Oglend, Atle, 2022. "Analyzing Commodity Futures Using Factor State-Space Models with Wishart Stochastic Volatility," Econometrics and Statistics, Elsevier, vol. 23(C), pages 105-127.
   2. Oglend, Atle, 2022. "The commodities/equities beta term-structure," Journal of Commodity Markets, Elsevier, vol. 28(C).

3. Oliver Grothe & Tore Selland Kleppe & Roman Liesenfeld, 2019. "The Gibbs sampler with particle efficient importance sampling for state-space models," Econometric Reviews, Taylor & Francis Journals, vol. 38(10), pages 1152-1175, November.

   Cited by:

   1. Mengheng Li & Marcel Scharth, 2022. "Leverage, Asymmetry, and Heavy Tails in the High-Dimensional Factor Stochastic Volatility Model," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 285-301, January.
      • Mengheng Li & Marcel Scharth, 2018. "Leverage, asymmetry and heavy tails in the high-dimensional factor stochastic volatility model," Working Paper Series 49, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
   2. Gribisch, Bastian & Hartkopf, Jan Patrick, 2023. "Modeling realized covariance measures with heterogeneous liquidity: A generalized matrix-variate Wishart state-space model," Journal of Econometrics, Elsevier, vol. 235(1), pages 43-64.

4. Kleppe, Tore Selland & Oglend, Atle, 2017. "Estimating the competitive storage model: A simulated likelihood approach," Econometrics and Statistics, Elsevier, vol. 4(C), pages 39-56.

   Cited by:

   1. Atle Oglend & Vesa-Heikki Soini, 2020. "Equilibrium Working Curves with Heterogeneous Agents," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 355-372, August.
   2. Oglend, Atle, 2022. "The commodities/equities beta term-structure," Journal of Commodity Markets, Elsevier, vol. 28(C).

5. Oglend, Atle & Kleppe, Tore Selland, 2017. "On the behavior of commodity prices when speculative storage is bounded," Journal of Economic Dynamics and Control, Elsevier, vol. 75(C), pages 52-69.

   Cited by:

   1. Guerra Vallejos, Ernesto & Bobenrieth Hochfarber, Eugenio & Bobenrieth Hochfarber, Juan & Wright, Brian D., 2021. "Solving dynamic stochastic models with multiple occasionally binding constraints," Economic Modelling, Elsevier, vol. 105(C).
   2. Atle Oglend & Vesa-Heikki Soini, 2020. "Equilibrium Working Curves with Heterogeneous Agents," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 355-372, August.
   3. Boubakri, Salem & Guillaumin, Cyriac & Silanine, Alexandre, 2019. "Non-linear relationship between real commodity price volatility and real effective exchange rate: The case of commodity-exporting countries," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 212-228.
      • Salem Boubakri & Cyriac Guillaumin & Alexandre Silanine, 2019. "Non-linear relationship between real commodity price volatility and real effective exchange rate: The case of commodity-exporting countries," Post-Print halshs-02157574, HAL.
   4. Christophe Gouel & Nicolas Legrand, 2022. "The Role of Storage in Commodity Markets: Indirect Inference Based on Grains Data," Working Papers 2022-04, CEPII research center.
      • Nicolas Legrand & Christophe Gouel, 2022. "The Role of Storage in Commodity Markets: Indirect Inference Based on Grains Data," Working Papers hal-03809825, HAL.
   5. V., Ernesto Guerra & H., Eugenio Bobenrieth & H., Juan Bobenrieth & Wright, Brian D., 2023. "Endogenous thresholds in energy prices: Modeling and empirical estimation," Energy Economics, Elsevier, vol. 121(C).
   6. Oglend, Atle, 2022. "The commodities/equities beta term-structure," Journal of Commodity Markets, Elsevier, vol. 28(C).
   7. Xiaochun Liu, 2018. "Structural Volatility Impulse Response Function and Asymptotic Inference," Journal of Financial Econometrics, Oxford University Press, vol. 16(2), pages 316-339.
   8. Tore S. Kleppe & Atle Oglend, 2019. "Can limits‐to‐arbitrage from bounded storage improve commodity term‐structure modeling?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(7), pages 865-889, July.
   9. Muhammad Imran Chaudhry & Mario J. Miranda, 2024. "Endogenous price fluctuations: Evidence from the chicken supply chain in Pakistan," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(2), pages 637-658, March.

6. Frank Asche & Atle Oglend & Tore Selland Kleppe, 2017. "Price Dynamics in Biological Production Processes Exposed to Environmental Shocks," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(5), pages 1246-1264.

   Cited by:

   1. Atle Oglend & Hans‐Martin Straume, 2020. "Futures market hedging efficiency in a new futures exchange: Effects of trade partner diversification," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(4), pages 617-631, April.
   2. Atle Oglend & Vesa-Heikki Soini, 2020. "Implications of Entry Restrictions to Address Externalities in Aquaculture: The Case of Salmon Aquaculture," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(4), pages 673-694, December.
   3. Atle Oglend & Frank Asche & Hans‐Martin Straume, 2022. "Estimating Pricing Rigidities in Bilateral Transactions Markets," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 209-227, January.
   4. Muhammad Imran Chaudhry & Mario J. Miranda, 2024. "Endogenous price fluctuations: Evidence from the chicken supply chain in Pakistan," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(2), pages 637-658, March.

7. Tore Selland Kleppe, 2016. "Adaptive Step Size Selection for Hessian-Based Manifold Langevin Samplers," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(3), pages 788-805, September.

   Cited by:

   1. Zhuang, Haoxin & Diao, Liqun & Yi, Grace Y., 2023. "Polya tree Monte Carlo method," Computational Statistics & Data Analysis, Elsevier, vol. 180(C).

8. Oglend, Atle & Kleppe, Tore Selland & Osmundsen, Petter, 2016. "Trade with endogenous transportation costs: The case of liquefied natural gas," Energy Economics, Elsevier, vol. 59(C), pages 138-148.

   Cited by:

   1. Yang, Lin & Lv, Haodong & Jiang, Dalin & Fan, Jingli & Zhang, Xian & He, Weijun & Zhou, Jinsheng & Wu, Wenjing, 2020. "Whether CCS technologies will exacerbate the water crisis in China? —A full life-cycle analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
   2. Hupka, Yuri & Popova, Ivilina & Simkins, Betty & Lee, Thomas, 2023. "A review of the literature on LNG: Hubs development, market integration, and price discovery," Journal of Commodity Markets, Elsevier, vol. 31(C).
   3. Najm, Sarah & Matsumoto, Ken'ichi, 2020. "Does renewable energy substitute LNG international trade in the energy transition?," Energy Economics, Elsevier, vol. 92(C).

9. Kleppe, Tore Selland & Yu, Jun & Skaug, Hans J., 2014. "Maximum likelihood estimation of partially observed diffusion models," Journal of Econometrics, Elsevier, vol. 180(1), pages 73-80.

   Cited by:

   1. Christian M. Hafner & Sébastien Laurent & Francesco Violante, 2017. "Weak Diffusion Limits of Dynamic Conditional Correlation Models," Post-Print hal-01590010, HAL.
      • Christian M. HAFNER & Sébastien LAURENT & Francesco VIOLANTE, 2017. "Weak diffusion limits of dynamic conditional correlation models," LIDAM Reprints CORE 2866, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
      • Hafner, Christian & Laurent, Sebastien & Violante, Francesco, 2017. "Weak Diffusion Limits of Dynamic Conditional Correlation Models," LIDAM Reprints ISBA 2017014, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
      • Hafner, Christian M. & Laurent, Sebastien & Violante, Francesco, 2017. "Weak Diffusion Limits Of Dynamic Conditional Correlation Models," Econometric Theory, Cambridge University Press, vol. 33(3), pages 691-716, June.
      • Hafner, C. & Laurent, S. & Violante, F., 2016. "Weak Diffusion Limits of Dynamic Conditional Correlation Models," LIDAM Discussion Papers ISBA 2016034, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
      • HAFNER, Christian & LAURENT, Sebastien & VIOLANTE, Francesco, 2016. "Weak Diffusion Limits of Dynamic Conditional Correlation Models," LIDAM Discussion Papers CORE 2016009, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
      • Christian M. Hafner & Sebastien Laurent & Francesco Violante, 2015. "Weak diffusion limits of dynamic conditional correlation models," CREATES Research Papers 2015-03, Department of Economics and Business Economics, Aarhus University.

10. Kleppe, Tore Selland & Liesenfeld, Roman, 2014. "Efficient importance sampling in mixture frameworks," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 449-463.

    Cited by:

    1. Scharth, Marcel & Kohn, Robert, 2016. "Particle efficient importance sampling," Journal of Econometrics, Elsevier, vol. 190(1), pages 133-147.
    2. Mengheng Li & Marcel Scharth, 2022. "Leverage, Asymmetry, and Heavy Tails in the High-Dimensional Factor Stochastic Volatility Model," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 285-301, January.
       • Mengheng Li & Marcel Scharth, 2018. "Leverage, asymmetry and heavy tails in the high-dimensional factor stochastic volatility model," Working Paper Series 49, Economics Discipline Group, UTS Business School, University of Technology, Sydney.

11. Berentsen, Geir Drage & Kleppe, Tore Selland & Tjøstheim, Dag Bjarne, 2014. "Introducing localgauss, an R Package for Estimating and Visualizing Local Gaussian Correlation," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 56(i12).

    Cited by:

    1. Georgios Bampinas & Theodore Panagiotidis & Panagiotis Politsidis, 2023. "Sovereign bond and CDS market contagion: A story from the Eurozone crisis," Post-Print hal-04164277, HAL.
       • Bampinas, Georgios & Panagiotidis, Theodore & Politsidis, Panagiotis N., 2023. "Sovereign bond and CDS market contagion: A story from the Eurozone crisis," Journal of International Money and Finance, Elsevier, vol. 137(C).
       • Georgios Bampinas & Theodore Panagiotidis & Panagiotis N. Politsidis, 2023. "Sovereign bond and CDS market contagion: A story from the Eurozone crisis," Working Paper series 23-09, Rimini Centre for Economic Analysis.
       • Bampinas, Georgios & Panagiotidis, Theodore & Politsidis, Panagiotis, 2020. "Sovereign bond and CDS market contagion: A story from the Eurozone crisis," MPRA Paper 102846, University Library of Munich, Germany.
    2. Georgios Bampinas & Theodore Panagiotidis, 2017. "Oil and stock markets before and after financial crises : a local Gaussian correlation approach," Bank of Estonia Working Papers wp2016-11, Bank of Estonia, revised 06 Feb 2017.
       • Georgios Bampinas & Theodore Panagiotidis, 2017. "Oil and stock markets before and after financial crises: A local Gaussian correlation approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(12), pages 1179-1204, December.
    3. Lars Arne Jordanger & Dag Tjøstheim, 2023. "Local Gaussian Cross-Spectrum Analysis," Econometrics, MDPI, vol. 11(2), pages 1-27, April.
    4. Elie Bouri & Rangan Gupta & Shixuan Wang, 2019. "Contagion between Stock and Real Estate Markets: International Evidence from a Local Gaussian Correlation Approach," Working Papers 201917, University of Pretoria, Department of Economics.
    5. Otneim, Håkon & Jullum, Martin & Tjøstheim, Dag, 2020. "Pairwise local Fisher and naive Bayes: Improving two standard discriminants," Journal of Econometrics, Elsevier, vol. 216(1), pages 284-304.
    6. Elie Bouri & Rangan Gupta & Shixuan Wang, 2022. "Nonlinear contagion between stock and real estate markets: International evidence from a local Gaussian correlation approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2089-2109, April.

12. Kleppe, Tore Selland & Skaug, Hans Julius, 2012. "Fitting general stochastic volatility models using Laplace accelerated sequential importance sampling," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3105-3119.

    Cited by:

    1. Jean-François Richard, 2015. "Likelihood Evaluation of High-Dimensional Spatial Latent Gaussian Models with Non-Gaussian Response Variables," Working Paper 5778, Department of Economics, University of Pittsburgh.
    2. Tore Selland KLEPPE & Jun YU & Hans J. SKAUG, 2009. "Stimulated Maximum Likelihood Estimation of Continuous Time Stochastic Volatility Models," Working Papers 20-2009, Singapore Management University, School of Economics.
       • Tore Selland Kleppe & Hans J. Skaug & Jun Yu, 2009. "Simulated Maximum Likelihood Estimation of Continuous Time Stochastic Volatility Models," Working Papers CoFie-09-2009, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
       • Tore Selland Kleppe & Jun Yu & H.J. Skaug, 2010. "Simulated maximum likelihood estimation of continuous time stochastic volatility models," Advances in Econometrics, in: Maximum Simulated Likelihood Methods and Applications, pages 137-161, Emerald Group Publishing Limited.
    3. Di Zhang & Qiang Niu & Youzhou Zhou, 2022. "Modeling Randomly Walking Volatility with Chained Gamma Distributions," Papers 2207.01151, arXiv.org, revised Oct 2022.
    4. Kleppe, Tore Selland & Liesenfeld, Roman, 2014. "Efficient importance sampling in mixture frameworks," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 449-463.
    5. Skaug, Hans J. & Yu, Jun, 2014. "A flexible and automated likelihood based framework for inference in stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 642-654.
    6. Stojanović, Vladica S. & Popović, Biljana Č. & Milovanović, Gradimir V., 2016. "The Split-SV model," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 560-581.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 7 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-ECM: Econometrics (5) 2008-12-14 2010-11-27 2011-09-05 2012-01-03 2019-09-09. Author is listed
2. NEP-ORE: Operations Research (5) 2008-12-14 2010-11-27 2011-09-05 2012-01-03 2012-04-17. Author is listed
3. NEP-ETS: Econometric Time Series (3) 2008-12-14 2010-11-27 2019-09-09
4. NEP-ENE: Energy Economics (1) 2015-02-22
5. NEP-INT: International Trade (1) 2015-02-22
6. NEP-MIC: Microeconomics (1) 2010-11-27
7. NEP-SEA: South East Asia (1) 2011-09-05
8. NEP-TRE: Transport Economics (1) 2015-02-22

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