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Pieter Jelle van der Sluis

Personal Details

First Name:Pieter
Middle Name:Jelle
Last Name:van der Sluis
Suffix:
RePEc Short-ID:pva13
[This author has chosen not to make the email address public]
Terminal Degree:1999 Afdeling Kwantitatieve Economie; Faculteit Economie en Bedrijfskunde; Universiteit van Amsterdam (from RePEc Genealogy)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Roman Kraussl & Andre Lucas & David R. Rijsbergen & Pieter Jelle van der Sluis & Evert B. Vrugt, 2013. "Washington Meets Wall Street: A Closer Examination of the Presidential Cylce Puzzle," DEM Discussion Paper Series 13-4, Department of Economics at the University of Luxembourg.
  2. Roman Kraussl & Andre Lucas & David R. Rijsbergen & Pieter Jelle van der Sluis & Evert B. Vrugt, 2013. "Washington Meets Wall Street: A Closer Examination of the Presidential Cylce Puzzle," LSF Research Working Paper Series 13-4, Luxembourg School of Finance, University of Luxembourg.
  3. Bikker, Jacob A. & Spierdijk, Laura & Sluis, Pieter Jelle van der, 2004. "The Implementation Shortfall of Institutional Equity Trades," Serie Research Memoranda 0009, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  4. Swinkels, L.A.P. & van der Sluis, P.J. & Verbeek, M.J.C.M., 2003. "Market timing: A decomposition of mutual fund returns," ERIM Report Series Research in Management ERS-2003-074-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  5. Posthuma, Nolke & Sluis, Pieter Jelle van der, 2003. "A Reality Check on Hedge Funds Returns," Serie Research Memoranda 0017, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  6. Laurens Swinkels, Pieter Jelle VanDerSluis, 2001. "Return-based Style Analysis with Time-varying Exposures," Computing in Economics and Finance 2001 125, Society for Computational Economics.
  7. George J. Jiang and Pieter J. van der Sluis, 2001. "Volatility Reprojection and Forecasting Performance -- An EMM Approach toward the Multivariate Stochastic Volatility Model," Computing in Economics and Finance 2001 16, Society for Computational Economics.
  8. Jiang, G.J. & van der Sluis, P.J., 2000. "Index Option Pricing Models with Stochastic Volatility and Stochastic Interest Rates," Discussion Paper 2000-36, Tilburg University, Center for Economic Research.
  9. Pieter J. van der Sluis & George J. Jiang, 1999. "Forecasting Volatility under Multivariate Stochastic Volatility Model via Reprojection," Computing in Economics and Finance 1999 313, Society for Computational Economics.
  10. Jiang, George J. & Sluis, Pieter J. van der, 1999. "Pricing stock options under stochastic volatility and interest rates with efficient method of moments estimation," Research Report 99B31, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  11. George J. Jiang & Pieter J. van der Sluis, 1998. "Pricing Stock Options under Stochastic Volatility and Stochastic Interest Rates with Efficient Method of Moments Estimation," Tinbergen Institute Discussion Papers 98-067/4, Tinbergen Institute.
  12. Pieter J. van der Sluis, 1998. "EmmPack 1.01: C/C++ Code for Use with Ox for Estimation of Univariate Stochastic Volatility Models with the Efficient Method of Moments," Tinbergen Institute Discussion Papers 98-021/4, Tinbergen Institute.
  13. Pieter J. van der Sluis, 1998. "Structural Stability Tests with Unknown Breakpoint for the Efficient Method of Moments with Application to Stochastic Volatility Models," Tinbergen Institute Discussion Papers 98-055/4, Tinbergen Institute.
  14. Pieter J. van der Sluis, 1997. "Post-Sample Prediction Tests for the Efficient Method of Moments," Tinbergen Institute Discussion Papers 97-054/4, Tinbergen Institute.
  15. Pieter J. van der Sluis, 1997. "Computationally Attractive Stability Tests for the Efficient Method of Moments," Tinbergen Institute Discussion Papers 97-087/4, Tinbergen Institute.
  16. Pieter J. van der Sluis, "undated". "EmmPack 1.0: C Code for use with Ox for the Estimation of Univariate Stochastic Volatility Models with the Efficient Method of Moments," Computing in Economics and Finance 1997 117, Society for Computational Economics.

Articles

  1. Kräussl, Roman & Lucas, André & Rijsbergen, David R. & van der Sluis, Pieter Jelle & Vrugt, Evert B., 2014. "Washington meets Wall Street: A closer examination of the presidential cycle puzzle," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 50-69.
  2. Jacob Bikker & Laura Spierdijk & Pieter-Jelle van der Sluis, 2010. "What factors increase the risk of incurring high market impact costs?," Applied Economics, Taylor & Francis Journals, vol. 42(3), pages 369-387.
  3. Jacob A. Bikker & Laura Spierdijk & Roy P. M. M. Hoevenaars & Pieter Jelle Van der Sluis, 2008. "Forecasting market impact costs and identifying expensive trades," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 21-39.
  4. Bikker, Jacob A. & Spierdijk, Laura & van der Sluis, Pieter Jelle, 2007. "Market impact costs of institutional equity trades," Journal of International Money and Finance, Elsevier, vol. 26(6), pages 974-1000, October.
  5. Laurens Swinkels & Pieter Van Der Sluis, 2006. "Return-based style analysis with time-varying exposures," The European Journal of Finance, Taylor & Francis Journals, vol. 12(6-7), pages 529-552.
  6. George J. Jiang & Pieter J. van der Sluis, 1999. "Index Option Pricing Models with Stochastic Volatility and Stochastic Interest Rates," Review of Finance, European Finance Association, vol. 3(3), pages 273-310.
  7. Pieter J. Van Der Sluis, 1998. "Computationally attractive stability tests for the efficient method of moments," Econometrics Journal, Royal Economic Society, vol. 1(Conferenc), pages 203-227.
  8. van der Sluis Pieter J., 1997. "EmmPack 1.01: C/C++ Code for Use with Ox for Estimation of Univariate Stochastic Volatility Models with the Efficient Method of Moments," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 2(3), pages 1-20, October.

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. Roman Kraussl & Andre Lucas & David R. Rijsbergen & Pieter Jelle van der Sluis & Evert B. Vrugt, 2013. "Washington Meets Wall Street: A Closer Examination of the Presidential Cylce Puzzle," LSF Research Working Paper Series 13-4, Luxembourg School of Finance, University of Luxembourg.

    Cited by:

    1. Eric Dubois, 2016. "Political business cycles 40 years after Nordhaus," Public Choice, Springer, vol. 166(1), pages 235-259, January.
    2. Wisniewski, Tomasz Piotr, 2016. "Is there a link between politics and stock returns? A literature survey," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 15-23.
    3. Alnahedh, Saad & Alhashel, Bader, 2024. "Firm executive political leanings, Washington, and stock market returns," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 476-491.
    4. Samar Ashour & David Rakowski & Salil K. Sarkar, 2021. "Currency risk exposure and the presidential effect in stock returns," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(3), pages 469-485, July.
    5. Samar Ashour & David A. Rakowski & Salil K. Sarkar, 2019. "U.S. presidential cycles and the foreign exchange market," Review of Financial Economics, John Wiley & Sons, vol. 37(4), pages 523-540, October.
    6. Chan, Kam Fong & Marsh, Terry, 2021. "Asset prices, midterm elections, and political uncertainty," Journal of Financial Economics, Elsevier, vol. 141(1), pages 276-296.
    7. Eric Dubois, 2016. "Political Business Cycles 40 Years after Nordhaus," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01291401, HAL.
    8. Alvarez-Ramirez, J. & Rodriguez, E. & Ibarra-Valdez, C., 2020. "Medium-term cycles in the dynamics of the Dow Jones Index for the period 1985–2019," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 546(C).
    9. Eric Dubois, 2016. "Political Business Cycles 40 Years after Nordhaus," Post-Print hal-01291401, HAL.
    10. William T. Chittenden, 2020. "Political Parties In Power And U.S. Economic Performance," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 14(2), pages 21-36.

  2. Bikker, Jacob A. & Spierdijk, Laura & Sluis, Pieter Jelle van der, 2004. "The Implementation Shortfall of Institutional Equity Trades," Serie Research Memoranda 0009, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

    Cited by:

    1. Murphy Jun Jie Lee, 2013. "The Microstructure of Trading Processes on the Singapore Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2013, January-A.

  3. Posthuma, Nolke & Sluis, Pieter Jelle van der, 2003. "A Reality Check on Hedge Funds Returns," Serie Research Memoranda 0017, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

    Cited by:

    1. Rui J. P. de Figueiredo, Jr. & Evan Rawley, 2011. "Skill, Luck, and the Multiproduct Firm: Evidence from Hedge Funds," Management Science, INFORMS, vol. 57(11), pages 1963-1978, November.
    2. Arjen Siegmann & Denitsa Stefanova, 2011. "Market Liquidity and Exposure of Hedge Funds," Tinbergen Institute Discussion Papers 11-150/2/DSF27, Tinbergen Institute.
    3. Fan Yang & Tomas Havranek & Zuzana Irsova & Jiri Novak, 2022. "Hedge Fund Performance: A Quantitative Survey," Working Papers IES 2022/15, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jun 2022.
    4. Fan Yang & Tomas Havranek & Zuzana Irsova & Jiri Novak, 2024. "Where Have All the Alphas Gone? A Meta-Analysis of Hedge Fund Performance," Working Papers IES 2024/15, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2024.
    5. Tomáš Jeřábek, 2009. "Hedge Funds and Their Performance Between 1994 and 2008 [Hedgeové fondy a jejich výkonnost v období 1994-2008]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2009(1), pages 51-65.
    6. Agarwal, Vikas & Fos, Vyacheslav & Jiang, Wei, 2010. "Inferring reporting biases in hedge fund databases from hedge fund equity holdings," CFR Working Papers 10-08, University of Cologne, Centre for Financial Research (CFR).
    7. Emmanouil Platanakis & Athanasios Sakkas & Charles Sutcliffe, 2017. "Harmful Diversification: Evidence from Alternative Investments," ICMA Centre Discussion Papers in Finance icma-dp2017-09, Henley Business School, University of Reading.
    8. Willi Semmler & Raphaele Chappe, 2012. "Ponzi Finance And The Hedge Fund Industry," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(supp0), pages 1-25.
    9. Rania Hentati-Kaffel & Philippe de Peretti, 2014. "Detecting Performance Persistence of Hedge Funds : A Runs-Based Analysis," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00984777, HAL.
    10. Rania Hentati-Kaffel & Philippe de Peretti, 2014. "Detecting Performance Persistence of Hedge Funds : A Runs-Based Analysis," Working Papers hal-00984777, HAL.
    11. Roger Ibbotson & Peng Chen, 2005. "The A,B,Cs of Hedge Funds: Alphas, Betas, and Costs," Yale School of Management Working Papers amz2597, Yale School of Management, revised 01 Sep 2005.
    12. Hoevenaars, Roy P.M.M. & Molenaar, Roderick D.J. & Schotman, Peter C. & Steenkamp, Tom B.M., 2008. "Strategic asset allocation with liabilities: Beyond stocks and bonds," Journal of Economic Dynamics and Control, Elsevier, vol. 32(9), pages 2939-2970, September.
    13. Felix Goltz & Lionel Martellini & Mathieu Vaissié, 2007. "Hedge Fund Indices: Reconciling Investability and Representativity," European Financial Management, European Financial Management Association, vol. 13(2), pages 257-286, March.
    14. Auer, Benjamin R., 2014. "Should hedge funds be cautious reporting high returns?," Research in International Business and Finance, Elsevier, vol. 30(C), pages 195-201.
    15. Geetesh Bhardwaj & Gary Gorton & K. Rouwenhorst, 2008. "Fooling Some of the People All of the Time: The Inefficient Performance and Persistence of Commodity Trading Advisors," Yale School of Management Working Papers amz2429, Yale School of Management.
    16. Willi Semmler & Raphaële Chappe, 2011. "The Operation of Hedge Funds: Econometric Evidence, Dynamic Modeling, and Regulatory Perspectives," Palgrave Macmillan Books, in: Greg N. Gregoriou & Razvan Pascalau (ed.), Financial Econometrics Modeling: Derivatives Pricing, Hedge Funds and Term Structure Models, chapter 1, pages 3-34, Palgrave Macmillan.
    17. Agarwal, Vikas & Ruenzi, Stefan & Weigert, Florian, 2015. "Tail Risk in Hedge Funds: A Unique View from Portfolio Holdings," Working Papers on Finance 1508, University of St. Gallen, School of Finance.
    18. Morag I. Torrance, 2007. "The Power of Governance in Financial Relationships: Governing Tensions in Exotic Infrastructure Territory," Growth and Change, Wiley Blackwell, vol. 38(4), pages 671-695, December.
    19. Edelman, Daniel & Fung, William & Hsieh, David A., 2013. "Exploring uncharted territories of the hedge fund Industry: Empirical characteristics of mega hedge fund firms," Journal of Financial Economics, Elsevier, vol. 109(3), pages 734-758.
    20. Benjamin Auer, 2013. "The low return distortion of the Sharpe ratio," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 27(3), pages 299-306, September.

  4. Laurens Swinkels, Pieter Jelle VanDerSluis, 2001. "Return-based Style Analysis with Time-varying Exposures," Computing in Economics and Finance 2001 125, Society for Computational Economics.

    Cited by:

    1. Pizzinga, Adrian & Fernandes, Cristiano, 2006. "State Space Models for Dynamic Style Analysis of Portfolios," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 26(1), May.
    2. Darolles, Serge & Vaissié, Mathieu, 2012. "The alpha and omega of fund of hedge fund added value," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1067-1078.
    3. Takaya Fukui & Seisho Sato & Akihiko Takahashi, 2016. "Style Analysis with Particle Filtering and Generalized Simulated Annealing," CIRJE F-Series CIRJE-F-1010, CIRJE, Faculty of Economics, University of Tokyo.
    4. Takaya Fukui & Seisho Sato & Akihiko Takahashi, 2017. "Style analysis with particle filtering and generalized simulated annealing," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 4(02n03), pages 1-29, June.
    5. Manuel Ammann & Sebastian Fischer & Florian Weigert, 2018. "Risk Factor Exposure Variation and Mutual Fund Performance," Working Papers on Finance 1817, University of St. Gallen, School of Finance, revised Nov 2018.
    6. Takaya Fukui & Seisho Sato & Akihiko Takahashi, 2017. "This paper proposes a new approach to style analysis of mutual funds in a general state space framework with particle filtering and generalized simulated annealing (GSA). Speci cally, we regard the ex," CARF F-Series CARF-F-383, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    7. Martin Bohl & Philipp Kaufmann & Patrick Stephan, 2012. "From Hero to Zero: Evidence of Performance Reversal and Speculative Bubbles in German Renewable Energy Stocks," CQE Working Papers 2412, Center for Quantitative Economics (CQE), University of Muenster.
    8. Laura Andreu & Cristina Ortiz & José Sarto, 2014. "Herding in the strategic allocations of Spanish pension plan managers," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(4), pages 658-671, October.
    9. Laura Andreu & Cristina Ortiz & Jose Luis Sarto, 2009. "Herding behaviour in strategic asset allocations: new approaches on quantitative and intertemporal imitation," Applied Financial Economics, Taylor & Francis Journals, vol. 19(20), pages 1649-1659.
    10. Sha, Yezhou, 2020. "The devil in the style: Mutual fund style drift, performance and common risk factors," Economic Modelling, Elsevier, vol. 86(C), pages 264-273.
    11. Carmine Trecroci, 2010. "Multifactors risk loadings and abnormal returns under uncertainty and learning," Working Papers 1011, University of Brescia, Department of Economics.
    12. Yunmi Kim & Douglas Stone & Tae-Hwan Kim, 2020. "Testing for Structural Breaks in Return-Based Style Regression Models," Working papers 2020rwp-165, Yonsei University, Yonsei Economics Research Institute.
    13. Kathryn Holmes & Robert Faff & Iain Clacher, 2010. "Style analysis and dominant index timing: an application to Australian multi-sector managed funds," Applied Financial Economics, Taylor & Francis Journals, vol. 20(4), pages 293-301.
    14. Andrew Mason & Frank McGroarty & Steve Thomas, 2013. "Complementary or contradictory? Combining returns-based and characteristics-based investment style analysis," Journal of Asset Management, Palgrave Macmillan, vol. 14(6), pages 423-438, December.
    15. Ammann, Manuel & Fischer, Sebastian & Weigert, Florian, 2020. "Factor exposure variation and mutual fund performance," CFR Working Papers 20-06, University of Cologne, Centre for Financial Research (CFR).
    16. Lambert, Marie & Platania, Federico, 2020. "The macroeconomic drivers in hedge fund beta management," Economic Modelling, Elsevier, vol. 91(C), pages 65-80.
    17. Auer, Benjamin R. & Schuhmacher, Frank & Niemann, Sebastian, 2023. "Cloning mutual fund returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 31-37.
    18. Stephanos Papadamou & Nikolaos A. Kyriazis & Lydia Mermigka, 2017. "Japanese Mutual Funds before and after the Crisis Outburst: A Style- and Performance-Analysis," IJFS, MDPI, vol. 5(1), pages 1-20, March.
    19. Andrew Mason & Frank McGroarty & Steve Thomas, 2012. "Style analysis for diversified US equity funds," Journal of Asset Management, Palgrave Macmillan, vol. 13(3), pages 170-185, June.
    20. Bohl, Martin T. & Kaufmann, Philipp & Stephan, Patrick M., 2013. "From hero to zero: Evidence of performance reversal and speculative bubbles in German renewable energy stocks," Energy Economics, Elsevier, vol. 37(C), pages 40-51.
    21. Holmes, Kathryn A. & Faff, Robert, 2008. "Estimating the performance attributes of Australian multi-sector managed funds within a dynamic Kalman filter framework," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 998-1011, December.
    22. Fiordelisi, Franco & Galloppo, Giuseppe & Lattanzio, Gabriele & Paimanova, Viktoriia, 2023. "Looking at socially responsible investment strategies through the lenses of the global ETF industry," Journal of International Money and Finance, Elsevier, vol. 137(C).
    23. Bodson, Laurent & Cavenaile, Laurent & Sougné, Danielle, 2013. "A global approach to mutual funds market timing ability," Journal of Empirical Finance, Elsevier, vol. 20(C), pages 96-101.
    24. Laurent Bodson & Alain Coën & Georges Hübner, 2010. "Dynamic Hedge Fund Style Analysis With Errors‐In‐Variables," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 33(3), pages 201-221, September.

  5. Jiang, G.J. & van der Sluis, P.J., 2000. "Index Option Pricing Models with Stochastic Volatility and Stochastic Interest Rates," Discussion Paper 2000-36, Tilburg University, Center for Economic Research.

    Cited by:

    1. Isabel Casas & Helena Veiga, 2021. "Exploring Option Pricing and Hedging via Volatility Asymmetry," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1015-1039, April.
    2. Kanniainen, Juho & Piché, Robert, 2013. "Stock price dynamics and option valuations under volatility feedback effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 722-740.
    3. Broto, Carmen, 2002. "Estimation methods for stochastic volatility models: a survey," DES - Working Papers. Statistics and Econometrics. WS ws025414, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Hafner, C. & Preminger, A., 2010. "Deciding between GARCH and Stochastic Volatility via Strong Decision Rules," LIDAM Reprints ISBA 2010032, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    5. Torben G. Andersen & Luca Benzoni & Jesper Lund, 2001. "An Empirical Investigation of Continuous-Time Equity Return Models," NBER Working Papers 8510, National Bureau of Economic Research, Inc.
    6. George Filis, 2009. "An Analysis between Implied and Realised Volatility in the Greek Derivative Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 8(3), pages 251-263, September.
    7. Juho Kanniainen & Robert Pich'e, 2012. "Stock Price Dynamics and Option Valuations under Volatility Feedback Effect," Papers 1209.4718, arXiv.org.
    8. George J. Jiang, 2002. "Testing Option Pricing Models with Stochastic Volatility, Random Jumps and Stochastic Interest Rates," International Review of Finance, International Review of Finance Ltd., vol. 3(3‐4), pages 233-272, September.
    9. Anna Pajor, 2008. "Bayesian Forecasting of the Discounted Payoff of Options on WIG20 Index under Stochastic Volatility and Stochastic Interest Rates," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 8, pages 147-154.
    10. Anna Pajor, 2009. "A Note on Option Pricing with the Use of Discrete-Time Stochastic Volatility Processes," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(1), pages 71-81, March.

  6. Pieter J. van der Sluis & George J. Jiang, 1999. "Forecasting Volatility under Multivariate Stochastic Volatility Model via Reprojection," Computing in Economics and Finance 1999 313, Society for Computational Economics.

    Cited by:

    1. Jiang, G.J. & van der Sluis, P.J., 2000. "Index Option Pricing Models with Stochastic Volatility and Stochastic Interest Rates," Discussion Paper 2000-36, Tilburg University, Center for Economic Research.
    2. Broto, Carmen, 2002. "Estimation methods for stochastic volatility models: a survey," DES - Working Papers. Statistics and Econometrics. WS ws025414, Universidad Carlos III de Madrid. Departamento de Estadística.

  7. Jiang, George J. & Sluis, Pieter J. van der, 1999. "Pricing stock options under stochastic volatility and interest rates with efficient method of moments estimation," Research Report 99B31, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

    Cited by:

    1. In Kim & In-Seok Baek & Jaesun Noh & Sol Kim, 2007. "The role of stochastic volatility and return jumps: reproducing volatility and higher moments in the KOSPI 200 returns dynamics," Review of Quantitative Finance and Accounting, Springer, vol. 29(1), pages 69-110, July.

  8. George J. Jiang & Pieter J. van der Sluis, 1998. "Pricing Stock Options under Stochastic Volatility and Stochastic Interest Rates with Efficient Method of Moments Estimation," Tinbergen Institute Discussion Papers 98-067/4, Tinbergen Institute.

    Cited by:

    1. Paola Zerilli, 2005. "Option pricing and spikes in volatility: theoretical and empirical analysis," Money Macro and Finance (MMF) Research Group Conference 2005 76, Money Macro and Finance Research Group.
    2. Jones, Christopher S., 2003. "The dynamics of stochastic volatility: evidence from underlying and options markets," Journal of Econometrics, Elsevier, vol. 116(1-2), pages 181-224.
    3. In Kim & In-Seok Baek & Jaesun Noh & Sol Kim, 2007. "The role of stochastic volatility and return jumps: reproducing volatility and higher moments in the KOSPI 200 returns dynamics," Review of Quantitative Finance and Accounting, Springer, vol. 29(1), pages 69-110, July.
    4. Chernov, Mikhail & Ghysels, Eric, 2000. "A study towards a unified approach to the joint estimation of objective and risk neutral measures for the purpose of options valuation," Journal of Financial Economics, Elsevier, vol. 56(3), pages 407-458, June.

  9. Pieter J. van der Sluis, 1998. "EmmPack 1.01: C/C++ Code for Use with Ox for Estimation of Univariate Stochastic Volatility Models with the Efficient Method of Moments," Tinbergen Institute Discussion Papers 98-021/4, Tinbergen Institute.

    Cited by:

    1. Broto, Carmen, 2002. "Estimation methods for stochastic volatility models: a survey," DES - Working Papers. Statistics and Econometrics. WS ws025414, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. George J. Jiang & Pieter J. van der Sluis, 1998. "Pricing Stock Options under Stochastic Volatility and Stochastic Interest Rates with Efficient Method of Moments Estimation," Tinbergen Institute Discussion Papers 98-067/4, Tinbergen Institute.
    3. Pieter J. van der Sluis, 1998. "Structural Stability Tests with Unknown Breakpoint for the Efficient Method of Moments with Application to Stochastic Volatility Models," Tinbergen Institute Discussion Papers 98-055/4, Tinbergen Institute.
    4. Gallant, A. Ronald & Tauchen, George, 2002. "Simulated Score Methods and Indirect Inference for Continuous-time Models," Working Papers 02-09, Duke University, Department of Economics.
    5. Zu, Yang, 2015. "Nonparametric specification tests for stochastic volatility models based on volatility density," Journal of Econometrics, Elsevier, vol. 187(1), pages 323-344.

  10. Pieter J. van der Sluis, 1998. "Structural Stability Tests with Unknown Breakpoint for the Efficient Method of Moments with Application to Stochastic Volatility Models," Tinbergen Institute Discussion Papers 98-055/4, Tinbergen Institute.

    Cited by:

    1. Ghysels, Eric & Guay, Alain, 2004. "Testing For Structural Change In The Presence Of Auxiliary Models," Econometric Theory, Cambridge University Press, vol. 20(6), pages 1168-1202, December.

  11. Pieter J. van der Sluis, 1997. "Post-Sample Prediction Tests for the Efficient Method of Moments," Tinbergen Institute Discussion Papers 97-054/4, Tinbergen Institute.

    Cited by:

    1. Pieter J. van der Sluis, 1998. "EmmPack 1.01: C/C++ Code for Use with Ox for Estimation of Univariate Stochastic Volatility Models with the Efficient Method of Moments," Tinbergen Institute Discussion Papers 98-021/4, Tinbergen Institute.
    2. George J. Jiang & Pieter J. van der Sluis, 1998. "Pricing Stock Options under Stochastic Volatility and Stochastic Interest Rates with Efficient Method of Moments Estimation," Tinbergen Institute Discussion Papers 98-067/4, Tinbergen Institute.
    3. Pieter J. van der Sluis, 1998. "Structural Stability Tests with Unknown Breakpoint for the Efficient Method of Moments with Application to Stochastic Volatility Models," Tinbergen Institute Discussion Papers 98-055/4, Tinbergen Institute.

  12. Pieter J. van der Sluis, 1997. "Computationally Attractive Stability Tests for the Efficient Method of Moments," Tinbergen Institute Discussion Papers 97-087/4, Tinbergen Institute.

    Cited by:

    1. Pieter J. van der Sluis, 1997. "Post-Sample Prediction Tests for the Efficient Method of Moments," Tinbergen Institute Discussion Papers 97-054/4, Tinbergen Institute.
    2. Ghysels, Eric & Guay, Alain, 2003. "Structural change tests for simulated method of moments," Journal of Econometrics, Elsevier, vol. 115(1), pages 91-123, July.
    3. Broto, Carmen, 2002. "Estimation methods for stochastic volatility models: a survey," DES - Working Papers. Statistics and Econometrics. WS ws025414, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Peter N Smith & Michael R Wickens, "undated". "Asset Pricing with Observable Stochastic Discount Factors," Discussion Papers 02/03, Department of Economics, University of York.
    5. George J. Jiang & Pieter J. van der Sluis, 1998. "Pricing Stock Options under Stochastic Volatility and Stochastic Interest Rates with Efficient Method of Moments Estimation," Tinbergen Institute Discussion Papers 98-067/4, Tinbergen Institute.
    6. Pieter J. van der Sluis, 1998. "Structural Stability Tests with Unknown Breakpoint for the Efficient Method of Moments with Application to Stochastic Volatility Models," Tinbergen Institute Discussion Papers 98-055/4, Tinbergen Institute.

Articles

  1. Kräussl, Roman & Lucas, André & Rijsbergen, David R. & van der Sluis, Pieter Jelle & Vrugt, Evert B., 2014. "Washington meets Wall Street: A closer examination of the presidential cycle puzzle," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 50-69.
    See citations under working paper version above.
  2. Jacob Bikker & Laura Spierdijk & Pieter-Jelle van der Sluis, 2010. "What factors increase the risk of incurring high market impact costs?," Applied Economics, Taylor & Francis Journals, vol. 42(3), pages 369-387.

    Cited by:

    1. Jacob Bikker & Jeroen Meringa, 2021. "Have scale effects on cost margins of pension fund investment portfolios disappeared?," Working Papers 710, DNB.
    2. J.A. Bikker, 2013. "Is there an optimal pension fund size? A scale-economy analysis of administrative and investment costs," Working Papers 13-06, Utrecht School of Economics.
    3. Jacob A. Bikker, 2017. "Is THERE AN OPTIMAL PENSION FUND SIZE? A SCALE-ECONOMY ANALYSIS OF ADMINISTRATIVE COSTS," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(2), pages 739-769, June.

  3. Jacob A. Bikker & Laura Spierdijk & Roy P. M. M. Hoevenaars & Pieter Jelle Van der Sluis, 2008. "Forecasting market impact costs and identifying expensive trades," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 21-39.

    Cited by:

    1. Jacob Bikker & Jeroen Meringa, 2021. "Have scale effects on cost margins of pension fund investment portfolios disappeared?," Working Papers 710, DNB.
    2. Saerom Park & Jaewook Lee & Youngdoo Son, 2016. "Predicting Market Impact Costs Using Nonparametric Machine Learning Models," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-13, February.
    3. J.A. Bikker, 2013. "Is there an optimal pension fund size? A scale-economy analysis of administrative and investment costs," Working Papers 13-06, Utrecht School of Economics.
    4. Jacob A. Bikker, 2017. "Is THERE AN OPTIMAL PENSION FUND SIZE? A SCALE-ECONOMY ANALYSIS OF ADMINISTRATIVE COSTS," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(2), pages 739-769, June.

  4. Bikker, Jacob A. & Spierdijk, Laura & van der Sluis, Pieter Jelle, 2007. "Market impact costs of institutional equity trades," Journal of International Money and Finance, Elsevier, vol. 26(6), pages 974-1000, October.

    Cited by:

    1. Carolina Gómez Restrepo & Diego Jara Pinzón & Andrés Murcia Pabón, 2006. "Impacto De Las Operaciones De Los Fondos De Pensiones Obligatorias En Los Mercados Financieros Colombianos," Borradores de Economia 406, Banco de la Republica de Colombia.
    2. Gosse A.G. Alserda & Jacob A. Bikker & Fieke S.G. Van Der Lecq, 2018. "X-efficiency and economies of scale in pension fund administration and investment," Applied Economics, Taylor & Francis Journals, vol. 50(48), pages 5164-5188, October.
    3. Martin Dierker & Jung-Wook Kim & Jason Lee & Randall Morck, 2016. "Investors’ Interacting Demand and Supply Curves for Common Stocks," Review of Finance, European Finance Association, vol. 20(4), pages 1517-1547.
    4. Jacob A. Bikker & Laura Spierdijk & Roy P. M. M. Hoevenaars & Pieter Jelle Van der Sluis, 2008. "Forecasting market impact costs and identifying expensive trades," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 21-39.
    5. Thierry Roncalli & Amina Cherief & Fatma Karray-Meziou & Margaux Regnault, 2021. "Liquidity Stress Testing in Asset Management -- Part 2. Modeling the Asset Liquidity Risk," Papers 2105.08377, arXiv.org.
    6. I. Koetsier & J.A. Bikker, 2017. "Herding behaviour of Dutch pension funds in sovereign bond investments," Working Papers 17-15, Utrecht School of Economics.
    7. Bana Abuzayed & Nedal Al-Fayoumi & Hisham Gharaibeh, 2012. "Competition in MENA countries banking markets," International Journal of Financial Services Management, Inderscience Enterprises Ltd, vol. 5(3), pages 272-301.
    8. Jacob Bikker & Jeroen Meringa, 2021. "Have scale effects on cost margins of pension fund investment portfolios disappeared?," Working Papers 710, DNB.
    9. Broeders, Dirk W.G.A. & van Oord, Arco & Rijsbergen, David R., 2016. "Scale economies in pension fund investments: A dissection of investment costs across asset classes," Journal of International Money and Finance, Elsevier, vol. 67(C), pages 147-171.
    10. Andreas Sch䦥r & Urs von Arx, 2014. "The influence of pension funds on corporate governance," Applied Economics, Taylor & Francis Journals, vol. 46(19), pages 2316-2329, July.
    11. Janusz Brzeszczynski & Martin T. Bohl & Dobromił Serwa, 2012. "Large capital inflows and stock returns in a thin market," NBP Working Papers 120, Narodowy Bank Polski.
    12. Shiyu Han & Lan Wu & Yuan Cheng, 2016. "Equity Market Impact Modeling: an Empirical Analysis for Chinese Market," Papers 1610.08767, arXiv.org.
    13. Zhengyong Jiang & Jeyan Thiayagalingam & Jionglong Su & Jinjun Liang, 2023. "CAD: Clustering And Deep Reinforcement Learning Based Multi-Period Portfolio Management Strategy," Papers 2310.01319, arXiv.org.
    14. Saerom Park & Jaewook Lee & Youngdoo Son, 2016. "Predicting Market Impact Costs Using Nonparametric Machine Learning Models," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-13, February.
    15. Brennan, Michael J. & Chordia, Tarun & Subrahmanyam, Avanidhar & Tong, Qing, 2012. "Sell-order liquidity and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 105(3), pages 523-541.
    16. de Jong, F.C.J.M. & Driessen, J.J.A.G., 2015. "Can large long-term investors capture illiquidity premiums," Other publications TiSEM 9c92b978-0099-44d3-9aab-8, Tilburg University, School of Economics and Management.
    17. J.A. Bikker, 2013. "Is there an optimal pension fund size? A scale-economy analysis of administrative and investment costs," Working Papers 13-06, Utrecht School of Economics.
    18. Jacob A. Bikker, 2017. "Is THERE AN OPTIMAL PENSION FUND SIZE? A SCALE-ECONOMY ANALYSIS OF ADMINISTRATIVE COSTS," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(2), pages 739-769, June.
    19. Wei Cui & Anthony Brabazon & Michael O'Neill, 2011. "Dynamic trade execution: a grammatical evolution approach," International Journal of Financial Markets and Derivatives, Inderscience Enterprises Ltd, vol. 2(1/2), pages 4-31.
    20. Kevin Cowan & David Rappoport & Jorge Selaive, 2007. "High Frequency Dynamics of the Exchange Rate in Chile," Working Papers Central Bank of Chile 433, Central Bank of Chile.
    21. Brzeszczyński, Janusz & Bohl, Martin T. & Serwa, Dobromił, 2019. "Pension funds, large capital inflows and stock returns in a thin market," Journal of Pension Economics and Finance, Cambridge University Press, vol. 18(3), pages 347-387, July.
    22. Broeders, Dirk W.G.A. & van Oord, Arco & Rijsbergen, David R., 2019. "Does it pay to pay performance fees? Empirical evidence from Dutch pension funds," Journal of International Money and Finance, Elsevier, vol. 93(C), pages 299-312.
    23. Seth Armitage & Janusz Brzeszczyński & Anna Serdyuk, 2014. "Liquidity Measures and Cost of Trading in an Illiquid Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 13(2), pages 155-196, August.

  5. Laurens Swinkels & Pieter Van Der Sluis, 2006. "Return-based style analysis with time-varying exposures," The European Journal of Finance, Taylor & Francis Journals, vol. 12(6-7), pages 529-552.
    See citations under working paper version above.
  6. George J. Jiang & Pieter J. van der Sluis, 1999. "Index Option Pricing Models with Stochastic Volatility and Stochastic Interest Rates," Review of Finance, European Finance Association, vol. 3(3), pages 273-310.
    See citations under working paper version above.
  7. Pieter J. Van Der Sluis, 1998. "Computationally attractive stability tests for the efficient method of moments," Econometrics Journal, Royal Economic Society, vol. 1(Conferenc), pages 203-227.
    See citations under working paper version above.
  8. van der Sluis Pieter J., 1997. "EmmPack 1.01: C/C++ Code for Use with Ox for Estimation of Univariate Stochastic Volatility Models with the Efficient Method of Moments," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 2(3), pages 1-20, October.
    See citations under working paper version above.

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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 3 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-POL: Positive Political Economics (2) 2008-12-14 2013-12-15
  2. NEP-ETS: Econometric Time Series (1) 1999-07-12
  3. NEP-FIN: Finance (1) 1999-07-12
  4. NEP-MAC: Macroeconomics (1) 2013-12-15

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