Prof. dr. C.G.H. (Cees) Diks
Faculty of Economics and Business
Section Quantitative Economics
Photographer: FEB
Visiting address
- Roetersstraat 11
- Room number: 3.58
Postal address
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Postbus 15867
1001 NJ Amsterdam
Contact details
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Profile
Positions
Professor of Data Analysis and Economic Statistics
Co-director of CeNDEFEducation
PhD in Mathematics (nonlinear time series analysis), University of Leiden (1996)
MSc in theoretical physics, University of Utrecht (1991)Research Interests
Nonlinear time series analysis, economic dynamics, financial time series, non-parametric statistics, statistical learning, causality, model uncertainty, density forecast evaluation and underspecification in machine learning.
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Software
Nonparametric test for serial independence (version May 2008) [Zip file with C-sources and Linux/Windows executables] See: Diks, C. and Panchenko, V. (2007) Nonparametric Tests for Serial Independence Based on Quadratic Forms, Statistica Sinica, 17, 81-98.
Nonparametric Granger causality test (version June 2008) [Zip file with C-sources and Linux/Windows executables + Matlab code for generating the empirical results (Table 3) of the paper below. Contains a program that calulates p-values for the Hiemstra-Jones test statistic and our statistic. For a program that just calculates p-values for our statistic, see Valentyn Panchenko's software] See: Diks, C. and Panchenko, V. (2006) A new statistic and practical guidelines for nonparametric Granger causality testing, Journal of Economic Dynamics and Control 30 (9-10), 1647-1669.
Test for (time) reversibility (version June 2008) [Zip file with C-sources and Linux/Windows executables] See: Diks, C., Houwelingen, J.C. van, Takens, F. and DeGoede, J. (1995) Reversibility as a criterion for discriminating time series, Physics Letters A 201, 221-228. The program uses the block method described in: Diks, C. (1999) Nonlinear Time Series Analysis: Methods and Applications, Vol. 4 in series "Nonlinear Time Series and Chaos", edited by H. Tong (World Scientific, Singapore). ISBN: 9810235054.
Test for comparing distributions of delay vectors (version July 2008) [Zip file with C-sources and sample data] See: Diks, C., Zwet, W.R. van, Takens, F. and DeGoede, J. (1996) Detecting differences between delay vector distributions, Physical Review E 53, 2169-2176.
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Publications
- refereed (74)
- academic (12)
- professional (6)
- recognitions (19)
- supervised theses (8)
- working papers / preprints (35)
- datasets (1)
2024
- Frunză, S., Rudinac, S., & Diks, C. (2024). Leveraging Query Expansion and Reformulation for Image Retrieval With Large Language and Vision-Language Models. In 2024 International Conference on Content-Based Multimedia Indexing (CBMI): 18-20 Sept. 2024 IEEE. https://doi.org/10.1109/CBMI62980.2024.10859227
- Holstege, F. G., Wouters, B. M., van Giersbergen, N. P. A., & Diks, C. G. H. (2024). Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation. In Proceedings of the 41st International Conference on Machine Learning (Vol. 235, pp. 18568-18610). (Proceedings of Machine Learning Research).
2023
Papana, A., Kyrtsou, C., Kugiumtzis, D., & Diks, C. (2023). Identification of causal relationships in non-stationary time series with an information measure: Evidence for simulated and financial data. Empirical Economics, 64(3), 1399–1420. https://doi.org/10.1007/s00181-022-02275-9 [details]
2022
- Diks, C., & Wolski, M. (2022). New nonparametric measures for instantaneous and Granger-causality tail co-dependence. Journal of Applied Statistics. Advance online publication. https://doi.org/10.1080/02664763.2022.2138837
- Meertens, Q. A., Diks, C. G. H., van den Herik, H. J., & Takes, F. W. (2022). Improving the output quality of official statistics based on machine learning algorithms. Journal of Official Statistics, 22(2), 485-508. https://doi.org/10.2478/jos-2022-0023 [details]
- Vrugt, J. A., de Oliveira, D. Y., Schoups, G., & Diks, C. G. H. (2022). On the use of distribution-adaptive likelihood functions: Generalized and universal likelihood functions, scoring rules and multi-criteria ranking. Journal of Hydrology, 615(Part B), Article 128542. https://doi.org/10.1016/j.jhydrol.2022.128542 [details]
2021
- Mattsson, C. E. S., Takes, F. W., Heemskerk, E. M., Diks, C., Buiten, G., Faber, A., & Sloot, P. M. A. (2021). Functional Structure in Production Networks. Frontiers in Big Data, 4, Article 666712. https://doi.org/10.3389/fdata.2021.666712 [details]
- Oostenbroek, M. H. W., van der Leij, M. J., Meertens, Q. A., Diks, C. G. H., & Wortelboer, H. M. (2021). Link-based influence maximization in networks of health promotion professionals. PLoS ONE, 16(8), Article e0256604. https://doi.org/10.1371/journal.pone.0256604 [details]
- Downloads
- journal.pone.0256604
- Supplementary files
- Supplementary materials
- Downloads
2020
- Diks, C., & Fang, H. (2020). A Consistent Nonparametric Test for Granger Non-Causality Based on the Transfer Entropy. Entropy, 22(10), Article 1123. https://doi.org/10.3390/e22101123 [details]
- Diks, C., & Fang, H. (2020). Comparing density forecasts in a risk management context. International Journal of Forecasting, 36(2), 531-551. Advance online publication. https://doi.org/10.1016/j.ijforecast.2019.07.006 [details]
- Linardi, F., Diks, C., van der Leij, M., & Lazier, I. (2020). Dynamic interbank network analysis using latent space models. Journal of Economic Dynamics & Control, 112, Article 103792. Advance online publication. https://doi.org/10.1016/j.jedc.2019.103792 [details]
- Meertens, Q. A., Diks, C. G. H., van den Herik, H. J., & Takes, F. W. (2020). A data‐driven supply‐side approach for estimating cross‐border Internet purchases within the European Union. Journal of the Royal Statistical Society. Series A (Statistics in Society), 183(1), 61-90. Advance online publication. https://doi.org/10.1111/rssa.12487 [details]
- Related datasets
- Meertens, Q. A., Diks, C. & Takes, F. (7-12-2020). Global business register used to estimate cross-border internet purchases within the EU. Universiteit van Amsterdam. https://doi.org/10.21942/uva.13303082.v1
- Related datasets
2019
- Bolt, W., Demertzis, M., Diks, C., Hommes, C., & van der Leij, M. (2019). Identifying booms and busts in house prices under heterogeneous expectations. Journal of Economic Dynamics & Control, 103, 234-259. https://doi.org/10.1016/j.jedc.2019.04.003 [details]
- Diks, C., Hommes, C., & Wang, J. (2019). Critical slowing down as an early warning signal for financial crises? Empirical Economics, 57(4), 1201-1228. Advance online publication. https://doi.org/10.1007/s00181-018-1527-3 [details]
- Meertens, Q. A., Diks, C. G. H., van den Herik, H. J., & Takes, F. W. (2019). A Bayesian Approach for Accurate Classification-Based Aggregates. In T. Berger-Wolf, & N. Chawla (Eds.), Proceedings of the 2019 SIAM International Conference on Data Mining (pp. 306-314). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611975673.35 [details]
2018
- Bao, T., Diks, C., & Li, H. (2018). A generalized CAPM model with asymmetric power distributed errors with an application to portfolio construction. Economic Modelling, 68, 611-621. https://doi.org/10.1016/j.econmod.2017.03.035 [details]
2017
- Diks, C., & Fang, H. (2017). Transfer Entropy for Nonparametric Granger Causality Detection: An Evaluation of Different Resampling Methods. Entropy, 19(7), Article 372. https://doi.org/10.3390/e19070372 [details]
- Papana, A., Kyrtsou, C., Kugiumtzis, D., & Diks, C. (2017). Assessment of Resampling Methods for Causality Testing: A note on the US Inflation Behavior. PLoS ONE, 12(7), Article e0180852. https://doi.org/10.1371/journal.pone.0180852 [details]
- Papana, A., Kyrtsou, C., Kugiumtzis, D., & Diks, C. (2017). Financial networks based on Granger causality: A case study. Physica A: Statistical Mechanics and its Applications, 482, 65-73. Advance online publication. https://doi.org/10.1016/j.physa.2017.04.046 [details]
2016
- Diks, C., & Wang, J. (2016). Can a stochastic cusp catastrophe model explain housing market crashes? Journal of Economic Dynamics & Control, 69, 68-88. Advance online publication. https://doi.org/10.1016/j.jedc.2016.05.008 [details]
- Diks, C., & Wolski, M. (2016). Nonlinear Granger Causality: Guidelines for Multivariate Analysis. Journal of Applied Econometrics, 31(7), 1333-1351. https://doi.org/10.1002/jae.2495 [details]
- Papana, A., Kyrtsou, C., Kugiumtzis, D., & Diks, C. (2016). Detecting Causality in Non-stationary Time Series Using Partial Symbolic Transfer Entropy: Evidence in Financial Data. Computational Economics, 47(3), 341-365. Advance online publication. https://doi.org/10.1007/s10614-015-9491-x [details]
2014
- Diks, C., Panchenko, V., Sokolinskiy, O., & van Dijk, D. (2014). Comparing the accuracy of multivariate density forecasts in selected regions of the copula support. Journal of Economic Dynamics & Control, 48, 79-94. https://doi.org/10.1016/j.jedc.2014.08.021 [details]
2013
- Diks, C., Hommes, C., & Zeppini, P. (2013). More memory under evolutionary learning may lead to chaos. Physica A : Statistical Mechanics and its Applications, 392(4), 808-812. https://doi.org/10.1016/j.physa.2012.10.045 [details]
- Papana, A., Kyrtsou, C., Kugiumtzis, D., & Diks, C. (2013). Simulation study of direct causality measures in multivariate time series. Entropy, 15(7), 2635-2661. https://doi.org/10.3390/e15072635 [details]
- Vrugt, J. A., ter Braak, C. J. F., Diks, C. G. H., & Schoups, G. (2013). Hydrologic data assimilation using particle Markov chain Monte Carlo simulation: theory, concepts and applications. Advances in Water Resources, 51, 457-478. https://doi.org/10.1016/j.advwatres.2012.04.002 [details]
2012
- Diks, C., & Makarewicz, T. (2012). Initial predictions in learning-to-forecast experiment. In A. Teglio, S. Alfarano, E. Camacho-Cuena, & M. Ginés-Vilar (Eds.), Managing market complexity: the approach of artificial economics (pp. 223-235). (Lecture Notes in Economics and Mathematical Systems ; Vol. 662). Springer. https://doi.org/10.1007/978-3-642-31301-1_18 [details]
- de Gooijer, J. G., Diks, C. G. H., & Gatarek, L. T. (2012). Information flows around the globe: predicting opening gaps from overnight foreign stock price patterns. Central European Journal of Economic Modelling and Econometrics, 4(1), 23-44. http://cejeme.eu/publishedarticles/2012-55-27-634922241397812500-2326.pdf [details]
2011
- Diks, C. G. H., & Wagener, F. O. O. (2011). Phenomenological and ratio bifurcations of a class of discrete time stochastic processes. Indagationes Mathematicae, 22(3-4), 207-221. https://doi.org/10.1016/j.indag.2011.09.007 [details]
- Diks, C., Panchenko, V., & van Dijk, D. (2011). Likelihood-based scoring rules for comparing density forecasts in tails. Journal of Econometrics, 163(2), 215-230. https://doi.org/10.1016/j.jeconom.2011.04.001 [details]
2010
- Diks, C. G. H., & Vrugt, J. A. (2010). Comparison of point forecast accuracy of model averaging methods in hydrologic applications. Stochastic Environmental Research and Risk Assessment, 24(6), 809-820. https://doi.org/10.1007/s00477-010-0378-z [details]
- Diks, C., Panchenko, V., & van Dijk, D. (2010). Out-of-sample comparison of copula specifications in multivariate density forecasts. Journal of Economic Dynamics & Control, 34(9), 1596-1609. https://doi.org/10.1016/j.jedc.2010.06.021 [details]
2009
- Diks, C. (2009). Nonparametric tests for independence. In R. Meyers (Ed.), Encyclopedia of Complexity and Systems Science Springer Verlag. http://www1.fee.uva.nl/cendef/upload/6/ecss_diks_r1.pdf [details]
- Vrugt, J. A., Braak, C. J. F., Diks, C. G. H., Robinson, B. A., Hyman, J. M., & Higdon, D. (2009). Accelerating Markov chain Monte Carlo simulation by differential evolution with self-adaptive randomized subspace sampling. International Journal of Nonlinear Sciences and Numerical Simulation, 10(3), 273-290. https://doi.org/10.1515/IJNSNS.2009.10.3.273 [details]
2008
- Bekiros, S. D., & Diks, C. G. H. (2008). The nonlinear dynamic relationship of exchange rates: parametric and nonparametric causality testing. Journal of Macroeconomics, 30(4), 1641-1650. https://doi.org/10.1016/j.jmacro.2008.04.001 [details]
- Bekiros, S. D., & Diks, C. G. H. (2008). The relationship between crude oil spot and futures prices: cointegration, linear and nonlinear causality. Energy Economics, 30(5), 2673-2685. https://doi.org/10.1016/j.eneco.2008.03.006 [details]
- Diks, C. G. H., & Wagener, F. O. O. (2008). A bifurcation theory for a class of discrete time Markovian stochastic systems. Physica D, 237(24), 3297-3306. https://doi.org/10.1016/j.physd.2008.07.021 [details]
- Diks, C., & Dindo, P. (2008). Informational differences and learning in an asset market with boundedly rational agents. Journal of Economic Dynamics & Control, 32(5), 1432-1465. https://doi.org/10.1016/j.jedc.2007.06.003 [details]
- Diks, C., & Panchenko, V. (2008). Rank-based entropy tests for serial independence. Studies in Nonlinear Dynamics and Econometrics, 12(1), 1-19. http://www.bepress.com/cgi/viewcontent.cgi?article=1476&context=snde [details]
- Diks, C., Hommes, C., Panchenko, V., & van der Weide, R. (2008). E&F Chaos: a user friendly software package for nonlinear economic dynamics. Computational Economics, 32(1-2), 221-244. https://doi.org/10.1007/s10614-008-9130-x [details]
- Vrugt, J. A., Diks, C. G. H., & Clark, M. (2008). Ensemble Bayesian model averaging using Markov Chain Monte Carlo sampling. Environmental Fluid Dynamics, 8(5-6), 579-595. https://doi.org/10.1007/s10652-008-9106-3 [details]
2007
- Diks, C., & Panchenko, V. (2007). Nonparametric tests for serial independence based on quadratic forms. Statistica Sinica, 17(1), 81-98. http://www3.stat.sinica.edu.tw/statistica/ [details]
- Karnaukhov, I. N., Kolomytsev, V. I., & Diks, C. G. H. (2007). Hybridized mechanism of pairing of fermions in single-walled carbon nanotubes. Physical Review B, 75(12), 1-4.
- Karnaukhov, I. N., Kolomytsev, V. I., & Diks, C. G. H. (2007). Strongly interacting Luttinger liquid states as those inherent in carbon nanotubes. Physical Review B, 75(12), Article 125407. http://prb.aps.org/pdf/PRB/v75/i12/e125407
2006
- Diks, C. G. H. (2006). Comments on 'Global Sunspots in OLG Models'. Journal of Macroeconomics, 28(1), 46-50. https://doi.org/10.1016/j.jmacro.2005.10.004 [details]
- Diks, C. G. H., & Panchenko, V. (2006). A new statistic and practical guidelines for nonparametric Granger causality testing. Journal of Economic Dynamics & Control, 30(9-10), 1647-1669. https://doi.org/10.1016/j.jedc.2005.08.008 [details]
- Karnaukhov, I. N., & Diks, C. G. H. (2006). Hybridized mechanism of pairing of fermions in single-walled carbon nanotubes. Physical Review B, 74(23). http://prb.aps.org/pdf/PRB/v74/i23/e235432
- Vrugt, J. A., Clark, M. P., Diks, C. G. H., Duan, Q., & Robinson, B. A. (2006). Multi-objective calibration of forecast ensembles using Bayesian model averaging. Geophysical Research Letters, 33(19), Article L19817. https://doi.org/10.1029/2006GL027126 [details]
2005
- Diks, C. G. H., & Panchenko, V. (2005). A note on the Hiemstra-Jones test for Granger non-causality. Studies in Nonlinear Dynamics and Econometrics, 9(2), 1-7.
- Diks, C. G. H., & van der Weide, R. (2005). Herding, A-synchronous Updating and Heterogeneity in memory in a CBS. Journal of Economic Dynamics & Control, 29(4), 741-763. https://doi.org/10.1016/j.jedc.2003.12.004
- Vrugt, J. A., Diks, C. G. H., Gupta, H. V., Bouten, W., & Verstraten, J. M. (2005). Improved treatment of uncertainty in hydrologic modelling: combining the strengths of global optimisation and data assimilation. Water Resources Research, 41(1), Article W01017. https://doi.org/10.1029/2004WR003059 [details]
2004
- Diks, C. G. H. (2004). The correlation dimension of returns with stochastic volatility. Quantitative Finance, 4(1), 45-54. https://doi.org/10.1088/1469-7688/4/1/004 [details]
2003
- Diks, C. G. H. (2003). Detecting Serial Dependence in Tail Events. Economics Letters, 97(3), 319-324. https://doi.org/10.1016/S0165-1765(03)00023-5 [details]
2002
- Diks, C. G. H., & van de Velden, M. (2002). Solution Problem 1/SP01: Conditional Variance of an MA(1 ) process, Problem Section. Statistical Papers, 43, 453-454. [details]
- Diks, C. G. H., & van de Velden, M. (2002). Tests for Serial Independence and Linearity Based on Correlation Integrals. Studies in Nonlinear Dynamics and Econometrics, 6(2), 1-20. http://www.degruyter.com/view/j/snde [details]
2001
- Diks, C. G. H., & DeGoede, J. (2001). A general nonparametric bootstrap test for Granger causality. In H. Broer, B. Krauskopf, & G. Vegter (Eds.), Global Analysis of Dynamical Systems (pp. 391-403). Institute of Physics. http://rullf2.xs4all.nl/nsag/broerch16.pdf [details]
- Diks, C. G. H., & van de Velden, M. (2001). Conditional variance of an MA(1) process. Problem 1/SPO1. Problems and Solutions section. Statistical Papers, 42(3), 412-412. [details]
- Diks, C. G. H., & van de Velden, M. (2001). Problems section - Problem 1/SP01: Conditional variance of an MA(1) process. Statistical Papers, 42(3), 412-412. http://link.springer.com/article/10.1007/s003620100068
2000
- Diks, C., & Mudelsee, M. (2000). Redundancies in the Earth's climatological time series. Physics Letters A, 275(5-6), 407-414. https://doi.org/10.1016/S0375-9601(00)00613-7
- Hoekstra, B. P. T., & Diks, C. G. H. (2000). Spatial correlation analysis of atrial activation patterns during sustained atrial fibrillation in conscious goats. Archives of Physiology and Biochemistry, 108(4), 1-19. http://informahealthcare.com/doi/abs/10.1076/apab.108.4.313.4302 [details]
- Hoekstra, B. P. T., Diks, C. G. H., Allessie, M. A., & de Goede, J. (2000). Spatial correlation analysis of the pharmacological conversion of sustained atrial fibrillation in conscious goats by cibenzoline. Archives of Physiology and Biochemistry, 108(4), 20-36. http://informahealthcare.com/doi/abs/10.1076/apab.108.4.332.4299 [details]
- Yu, D., Small, M., Harrison, R. G., & Diks, C. G. H. (2000). An efficient implementation of the Gaussian kernel algorithm in estimating invariants and noise levels from noisy time series data. Physical Review E, 4(61), 3750-3756. https://doi.org/10.1103/PhysRevE.61.3750 [details]
1999
- Diks, C. G. H. (1999). On Nonlinear Time Series Analyses - Methods and Applications. In H. Tong (Ed.), Nonlinear Time Series and Chaos, 4 Singapore: World Scientific. [details]
- Diks, C. G. H., & Tong, H. (1999). A test for symmetries of multivariate probability distributions. Biometrika, 86(3), 605-614. https://doi.org/10.1093/biomet/86.3.605 [details]
1998
- van der Heijden, M. J., Diks, C. G. H., Hoekstra, B. P. T., & DeGoede, J. (1998). Testing the order of discrete Markov chains using surrogate data. Physica D, 117(1-4), 299-313. https://doi.org/10.1016/S0167-2789(97)00315-1
1997
- Diks, C. G. H., Takens, F., & DeGoede, J. (1997). Spatiotemporal chaos: A solvable model. Physica D, 104(3-4), 269-285. https://doi.org/10.1016/S0167-2789(97)83386-6
- Hoekstra, B. P. T., Diks, C. G. H., Allessie, M. A., & DeGoede, J. (1997). Nonlinear analysis of the pharmacological conversion of sustained atrial fibrilation in conscious goats by the classlc drug cobenzoline. Chaos, 7(3), 430-446. https://doi.org/10.1063/1.166216
1996
- Diks, C. G. H. (1996). Estimating invariants of noisy attractors. Physical Review E, 53(5), R4263-R4266. https://doi.org/10.1103/PhysRevE.53.R4263
- Diks, C. G. H., van Zwet, W. R., Takens, F., & DeGoede, J. (1996). Detecting differences between delay vector distributions. Physical Review E, 53(3), 2169-2176. https://doi.org/10.1103/PhysRevE.53.2169
- van der Heijden, M. J., Diks, C. G. H., Pijn, J. P. M., & Velis, D. N. (1996). Time reversibility of intracranial human EEG recordings in mesial temporal lobe epilepsy. Physics Letters A, 216(6), 283-288. https://doi.org/10.1016/0375-9601(96)00288-5
1995
- Diks, C. G. H., Hoekstra, B. P. T., & DeGoede, J. (1995). Spiral wave dynamics. Chaos, Solitons and Fractals, 5(3-4), 645-660. https://doi.org/10.1016/0960-0779(93)E0047-F
- Diks, C. G. H., van Houwelingen, J. C., Takens, F., & DeGoede, J. (1995). Reversibility as a criterion for discriminating time series. Physics Letters A, 201(2-3), 221-228. https://doi.org/10.1016/0375-9601(95)00239-Y
- Hoekstra, B. P. T., Diks, C. G. H., Allessie, M. A., & DeGoede, J. (1995). Nonlinear analysis of epicardial atrial electrograms of electrically induced atrial fibrillation in man. Journal of cardiovascular electrophysiology, 6(6), 419-440. https://doi.org/10.1111/j.1540-8167.1995.tb00416.x
1992
- Ruijgrok, T., & Diks, C. G. H. (1992). Quasicrystalline polymers. Physica A : Statistical Mechanics and its Applications, 183(1-2), 51-53. https://doi.org/10.1016/0378-4371(92)90177-R
2008
- Diks, C., Panchenko, V., & van Dijk, D. (2008). Partial likelihood-based scoring rules for evaluating density forecasts in tails. (Tinbergen Institute discussion papers; No. TI 2008-050/4). Tinbergen Instituut. http://www.tinbergen.nl/ti-publications/discussion-papers.php?paper=981 [details]
2006
- Diks, C. G. H., & Dindo, P. D. E. (2006). Informational differences and learning in an asset market with boundedly rational agents. (CeNDEF Working Paper; No. 06-11). Faculteit Economie en Bedrijfskunde. http://www1.fee.uva.nl/cendef/publications/papers/dd_wp_0611.pdf
- Diks, C. G. H., & Panchenko, V. (2006). Rank-based entropy tests for serial independence. (CeNDEF Working Paper; No. 06-14). Faculteit Economie en Bedrijfskunde. http://www1.fee.uva.nl/cendef/publications/papers/cendef-06-14.pdf
- Diks, C. G. H., & Wagener, F. O. O. (2006). A weak bifurcation theory for discrete time stochastic dynamical systems. (CeNDEF Working Paper; No. 06-04). Faculteit Economie en Bedrijfskunde. http://www1.fee.uva.nl/cendef/publications/papers/wp-06-04.pdf
2004
- Diks, C. G. H. (2004). Boostrapping the BDS test for serial independence. Resampling with or without replacement? Medium Econometrische Toepassingen, 12(2), 4-7. [details]
- Vrugt, J. A., Diks, C. G. H., Bouten, W., & Verstraten, J. M. (2004). Improved treatment of uncertainty in hydrologic modeling. In Proceedings of the British Hydrological Society International Conference (Vol. 1, pp. 389-397). London: Imperial College London. [details]
2001
- Hoekstra, B. P. T., Diks, C. G. H., Allessie, M. A., & DeGoede, J. (2001). Nonlinear time series analysis: methods and applications to atrial fibrillation. In V. Barbaro (Ed.), Analysis and processing of cardiac electrograms in atrial fibrilation (pp. 325-334). (37; No. 3). Annali dell'Istituto Superiore di Sanità. http://www.iss.it/binary/publ/publi/373325.1108981822.pdf [details]
2000
1999
- Diks, C. G. H. (1999). Nonlinear time series analysis: Methods and applications. (NonlinearTime Series and Chaos; No. Vol. 4). Singapore: World Scientific.
- Diks, C. G. H. (1999). Dynamical Behavior of Agent Models. In Proceedings of the 52nd International Statistical Institute (ISI) session
1994
- Hoekstra, B. P. T., Diks, C. G. H., Allessie, M. A., & DeGoede, J. (1994). Application of nonlinear time series analysis to electrically atrial fibrillation in man. Journal of Physiology, 479, 68-69.
2021
- Buiten, G., Diks, C., Faber, A., Heemskerk, E., Mattsson, C., Takes, F., & Sloot, P. (2021). Netwerkanalyse biedt nieuwe inzichten voor clustergericht energiebeleid. Economisch-Statistische Berichten, 106(4804), 586-588. Advance online publication. https://esb.nu/esb/20068796/netwerkanalyse-biedt-nieuwe-inzichten-voor-clustergericht-energiebeleid [details]
2013
- Diks, C. (2013). Complexiteit en economie. (Oratiereeks). Vossiuspers UvA. http://www.oratiereeks.nl/upload/pdf/PDF-3198Weboratie_Diks_definitief.pdf [details]
- Wolski, M., & Diks, C. (2013). Data sharpening in practice: an application to nonlinear Granger causality. Aenorm, 21(79), 19-21. http://www.aenorm.nl/files/nlaenorm2012/file/article_pdfs/sne8c_Marcin%20online.pdf [details]
2008
- Diks, C. (2008). On density forecast evaluation. Aenorm, 61, 26-30. http://aenorm.nl/artikelen/61-diks.pdf [details]
2006
- Bullard, J., Diks, C. G. H., & Wagener, F. O. O. (2006). Editorial Introduction to the Special Issue on " Computing in Economics and Finance". Journal of Economic Dynamics & Control, 30(9-10), 1441-1444. https://doi.org/10.1016/j.jedc.2006.03.003
2005
- Diks, C. G. H. (2005). Econophysics, Ignore it or Explore it? Aenorm, 50((DEC)), 11-14. http://www.aenorm.nl/
Prize / grant
- Diks, C. (2023). ESG regulation impact on financial stability.
- Diks, C. (2023). Emergent Phenomena in Society: Polarization, Segregation and Inequality.
- Diks, C. (2023). Research Centre for Sustainable Investments & Insurance.
Media appearance
- Hommes, C., Diks, C., Tuinstra, J., Wagener, F. & van der Leij, M. (01-01-2013). Interview with CeNDEF researchers [Print]. Interview with CeNDEF researchers.
Journal editor
- Diks, C. (editor) (2006). Studies in Nonlinear Dynamics and Econometrics (Journal).
Talk / presentation
- Diks, C. (speaker) (6-6-2023). International Workshop on Applied Probability, 10th International Workshop on Applied Probability, Thessaloniki, Greece, June 6-10, 2023, Thessaloniki.
- Diks, C. (speaker) (26-5-2020). Descriptive Statistics, Trends, Causality and Forecasting, Rijkswaterstaat.
- Diks, C. (speaker) (26-9-2018). Detecting Granger Causality with a Nonparametric Information-theoretical Statistic, Conference on Complex Systems 2018, Thessaloniki.
- Diks, C. (speaker) (16-12-2017). Comparing Density Forecasts in a Risk Management Context, 11th Conference on Computational and Financial Econometrics, London, UK.
- Diks, C. (speaker) (20-3-2017). Complexity in Economics and Finance, Deutsche Physicalisches Gesellschaft -- Socio-economic Systems (DPG-SOE) Conference, Dresden, Germany.
- Diks, C. G. H. (invited speaker) (9-6-2016). Comparing Density Forecasts in a Risk Management Context, Dynamics Days Europe 2016, Corfu City, Corfu, Greece.
- Diks, C. G. H. (invited speaker) (9-9-2015). Nonlinear Granger Causality: Guidelines for Multivariate Analysis, Dynamics Days Europe 2015, University of Exeter, Exeter, UK.
- Diks, C. G. H. (invited speaker) (18-5-2015). Critical Slowing Down as Early Warning Signals for Financial Crises?, 10th Tinbergen Institute Conference, Tinbergen Institute, Amsterdam, The Netherlands.
- Diks, C. G. H. (invited speaker) (26-3-2015). Critical Slowing Down as Early Warning Signals for Financial Crises?, Workshop on Socio-Economic Complexity, Lorentz Center, Leiden, The Netherlands.
- Diks, C. G. H. (invited speaker) (10-12-2014). Identifying Booms and Busts in House Prices under Heterogeneous Expectations, Workshop on Expectations & Forecasting, Paris, Banque de France.
Others
- Diks, C. (organiser) (29-11-2019). SbS@UvA Simulation-based Science for Financial Risk Management, Amsterdam (organising a conference, workshop, ...).
- Diks, C. G. H. (organiser) (2016). Conference on Complex Systems 2016, Amsterdam. Satellite session: Financial Networks and Policy Applications: from Systemic Risk to Sustainability (organising a conference, workshop, ...).
- Diks, C. G. H. (organiser) (18-5-2015 - 20-5-2015). 10th Tinbergen Institute Conference (organising a conference, workshop, ...).
- Diks, C. G. H. (organiser), Hommes, C. H. (organiser) & van der Leij, M. J. (organiser) (18-5-2015 - 20-5-2015). 10th Tinbergen Institute Conference 2015: Complexity in Economics and Finance, Amsterdam, The Netherlands (organising a conference, workshop, ...).
2021
- Li, H. (2021). Dependence in financial and high-dimensional time series. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
- Meertens, Q. A. (2021). Misclassification bias in statistical learning. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
- Downloads
- Thesis
- Supplementary files
- Stellingen
- Downloads
- Turco, E. M. (2021). The stagnation-financialization paradox: Understanding a modern puzzle through complex systems. [Thesis, fully internal, Universiteit van Amsterdam, Università Cattolica del Sacro Cuore]. [details]
2019
- de Menezes Linardi, F. (2019). Empirical essays on the stability of the Brazilian financial system. [Thesis, externally prepared, Universiteit van Amsterdam]. [details]
2018
2015
2014
- Wolski, M. (2014). Essays in nonlinear dynamics in economics and econometrics with applications to monetary policy and banking. [Thesis, externally prepared, Universiteit van Amsterdam]. [details]
- Downloads
- Thesis
- Cover
- Title pages
- Acknowledgements
- Contents
- 1: General introduction and thesis outline
- 2: Monetary policy, banking and heterogeneous agents
- 3: Nonlinear Granger causality: Guidelines for multivariate analysis
- 4: Exploring nonlinearities in financial systemic risk
- 5: Do safe havens make asset markets safer?
- 6: Summary
- Bibliography
- Samenvatting (Summary in Dutch)
- Downloads
- in 't Veld, D. L. (2014). Complex systems in financial economics: Applications to interbank and stock markets. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
2017
- Linardi, F., Diks, C., van der Leij, M., & Lazier, I. (2017). Dynamic Interbank Network Analysis Using Latent Space Models. (Tinbergen Institute Discussion Paper; No. 2017-101/II). Tinbergen Institute. https://doi.org/10.2139/ssrn.3059618 [details]
2015
- Diks, C., Hommes, C., & Wang, J. (2015). Critical slowing down as an early warning signal for financial crises. (CeNDEF working paper; No. 15-04). CeNDEF, University of Amsterdam. http://cendef.uva.nl/binaries/content/assets/subsites/amsterdam-school-of-economics-research-institute/cendef/working-papers-2015/tipping.pdf [details]
2014
- Bolt, W., Demertzis, M., Diks, C., Hommes, C., & van der Leij, M. (2014). Identifying booms and busts in house prices under heterogeneous expectations. (CeNDEF Working Paper; No. 14-13). University of Amsterdam. [details]
- Bolt, W., Demertzis, M., Diks, C., Hommes, C., & van der Leij, M. (2014). Identifying booms and busts in house prices under heterogeneous expectations. (Tinbergen Institute Discussion Paper; No. TI 2014-157/II). Tinbergen Institute. http://papers.tinbergen.nl/14157.pdf [details]
- Bolt, W., Demertzis, M., Diks, C., Hommes, C., & van der Leij, M. J. (2014). Identifying booms and busts in house prices under heterogeneous expectations. (DNB Working Paper Series; No. 450). De Nederlandsche Bank (DNB). http://www.dnb.nl/en/binaries/Working%20Paper%20450_tcm47-315859.pdf [details]
- Papana, A., Kyrtsou, C., Kugiumtzis, D., & Diks, C. (2014). Assessment of resampling methods for causality testing. (CeNDEF Working Paper; No. 14-08). University of Amsterdam. http://www1.fee.uva.nl/cendef/publications/papers/ResamplingPaper_1.pdf [details]
- Papana, A., Kyrtsou, C., Kugiumtzis, D., & Diks, C. (2014). Identifying causal relationships in case of non-stationary time series. (CeNDEF Working Paper; No. 14-09). University of Amsterdam. http://www1.fee.uva.nl/cendef/publications/papers/Non_stat_causality.pdf [details]
2013
- Bolt, W., Demertzis, M., Diks, C., Hommes, C., & van der Leij, M. (2013). Bubbles and crashes in house prices under heterogeneous expectations. Universiteit van Amsterdam. http://www1.fee.uva.nl/cendef/upload/103/ham_houses.pdf [details]
- Diks, C., & Wolski, M. (2013). Nonlinear Granger Causality: Guidelines for Multivariate Analysis. (CeNDEF Working Papers; No. 13-15). Center for Nonlinear Dynamics in Economics and Econometrics (CeNDEF). http://www1.fee.uva.nl/cendef/publications/papers/paper.pdf [details]
- Diks, C., Panchenko, V., Sokolinskiy, O., & van Dijk, D. (2013). Comparing the accuracy of copula-based multivariate density forecasts in selected regions of support. (Tinbergen Institute Discucssion Papers; No. 13-061/III). Tinbergen Institute. http://www.tinbergen.nl/discussionpaper/?paper=2099 [details]
- Papana, A., Kyrtsou, C., Kugiumtzis, D., & Diks, C. (2013). Partial Symbolic Transfer Entropy. (CeNDEF Working paper; No. 13-16). University of Amsterdam. [details]
2011
- Bolt, W., Demertzis, M., Diks, C., & van der Leij, M. (2011). Complex methods in economics: an example of behavioral heterogeneity in house prices. (CeNDEF Working Paper; No. 11-12). Universiteit van Amsterdam. http://www1.fee.uva.nl/cendef/publications/papers/ham_houses_v08.pdf [details]
- Diks, C. G. H., & Wagener, F. O. O. (2011). Phenomenological and ratio bifurcations of a class of discrete time stochastic processes. (CeNDEF working papers; No. 11-03). Center for Nonlinear Dynamics in Economics and Finance (CeNDEF). http://www1.fee.uva.nl/cendef/publications/papers/Preprint_Diks_Wagener.pdf [details]
2009
- de Gooijer, J. G., Diks, C. G. H., & Gatarek, L. T. (2009). Information flows around the globe: predicting opening gaps from overnight foreign stock price patterns. (CeNDEF working paper; No. 09-13). CeNDEF. http://www1.fee.uva.nl/cendef/publications/papers/nfda_CeNDEF_WP_0913.pdf [details]
- de Gooijer, J. G., Diks, C. G. H., & Gatarek, L. T. (2009). Information flows around the globe: predicting opening gaps from overnight foreign stock price patterns. (Tinbergen Institute discussion paper; No. TI 2009-107/4). Tinbergen Institute. http://www.tinbergen.nl/discussionpapers/09107.pdf [details]
- de Gooijer, J. G., Diks, C. G. H., & Gatarek, L. T. (2009). Information flows around the globe: predicting opening gaps from overnight foreign stock price patterns. (UvA-Econometrics discussion paper; No. 2009/02). Faculteit Economie en Bedrijfskunde. http://aimsrv1.fee.uva.nl/koen/web.nsf/view/E2D851F14151A810C125767300758861/$file/0902.pdf [details]
2008
- Diks, C., Panchenko, V., & van Dijk, D. (2008). Out-of-sample comparison of copula specifications in multivariate density forecasts. (CeNDEF working papers; No. 08-10). Afdeling Kwantitatieve Economie. http://www1.fee.uva.nl/cendef/publications/papers/cendef_wp_0810.pdf [details]
- Diks, C., Panchenko, V., & van Dijk, D. (2008). Out-of-sample comparison of copula specifications in multivariate density forecasts. (Tinbergen Institute discussion papers; No. TI 2008-105/4). Tinbergen Instituut. http://www.tinbergen.nl/ti-publications/discussion-papers.php?paper=1413 [details]
- Diks, C., Panchenko, V., & van Dijk, D. (2008). Partial likelihood-based scoring rules for evaluating density forecasts in tails. (CeNDEF working papers; No. 08-03). Afdeling Kwantitatieve Economie. http://www1.fee.uva.nl/cendef/publications/papers/wlr_cendef_wp.pdf [details]
2007
- Bekiros, S. D., & Diks, C. (2007). The Nonlinear Dynamic Relationship of Exchange Rates: Parametric and Nonparametric Causality testing. (CeNDEF Working Paper Universiteit van Amsterdam; No. 07-08). Faculteit Economie en Bedrijfskunde. http://www1.fee.uva.nl/cendef/publications/papers/BD_CeNDEF_07_08.pdf [details]
- Bekiros, S. D., & Diks, C. G. H. (2007). The Relationship between Crude Oil Spot and Futures Prices: Cointegration, Linear and Nonlinear Causality. (CeNDEF Working Paper Universiteit van Amsterdam; No. 07-11). Faculteit Economie en Bedrijfskunde. http://www1.fee.uva.nl/cendef/publications/papers/BD_Manuscript_EE.pdf [details]
2006
- Diks, C. G. H., Hommes, C. H., Panchenko, V., & van der Weide, R. (2006). E&F Chaos: a user friendly software package for nonlinear economic dynamics. (CeNDEF working paper; No. 06-15). CeNDEF, University of Amsterdam. http://cendef.uva.nl/binaries/content/assets/subsites/amsterdam-school-of-economics-research-institute/cendef/working-papers-2006/cendef-06-15.pdf
2004
- Diks, C. G. H., & Panchenko, V. (2004). A new statistic and practical guidelines for nonparametric Granger causality testing. (CeNDEF Working paper; No. 04-11). Universiteit van Amsterdam. http://www1.fee.uva.nl/cendef/publications/papers/0411.pdf
- Diks, C. G. H., & Panchenko, V. (2004). A note on the Hiemstra-Jones test for granger non-causality. (CeNDEF Working Paper; No. 04-10). Universiteit van Amsterdam. http://www1.fee.uva.nl/cendef/publications/papers/0410.pdf
2003
- Diks, C. G. H., & van der Weide, R. (2003). Herding, a-synchronous updating and heterogeneity in memory in a CBS. (CeNDEF Working Paper; No. 03-06). Universiteit van Amsterdam. http://www1.fee.uva.nl/cendef/publications/papers/wp0306.pdf; http://www1.fee.uva.nl/cendef/publications/papers/wp0306.ps
- Diks, C. G. H., & van der Weide, R. (2003). Heterogeneity as a natural source of randomness. (CeNDEF Working Paper; No. 03-05). Universiteit van Amsterdam. http://www1.fee.uva.nl/cendef/publications/papers/diks_weide.pdf
2002
- Botman, D. P. J., & Diks, C. G. H. (2002). Location of investors and capital flight. (CeNDEF working Paper; No. 02=01). Amsterdam: Universiteit van Amsterdam.
- Diks, C. G. H. (2002). Detecting serial dependence in tail events: A test dual to BDS test. (CeNDEF Working Paper; No. 02-09). Universiteit van Amsterdam. http://www1.fee.uva.nl/cendef/publications/papers/wp0209.pdf; http://www1.fee.uva.nl/cendef/publications/papers/wp0209.ps
- Diks, C. G. H., & van der Weide, R. (2002). Continuous beliefs dynamics. (CeNDEF Working Paper; No. 02-11). Universiteit van Amsterdam. http://www1.fee.uva.nl/cendef/publications/papers/cbs.pdf
2001
- Diks, C. G. H., & Manzan, S. (2001). Testing for serial independence and linearity using correlation integrals. CeNDEF Working Paper Series. [details]
- Diks, C. G. H., & Manzan, S. (2001). Tests for serial independence and linearity based on correlation integrals. (CeNDEF Working Paper; No. 01-02). Universiteit van Amsterdam. http://www1.fee.uva.nl/cendef/publications/papers/Diks-Manzan.pdf
- Diks, C. G. H., & Manzan, S. (2001). Tests for serial independence and linearity based on correlation integrals. (Tinbergen Institute Discussion Paper; No. TI 2001-085/1). Tinbergen Institute. http://papers.tinbergen.nl/01085.pdf [details]
2000
- Diks, C. G. H. (2000). Dimension estimations, stock returns and volatility clustering. (CeNDEF Working Paper; No. 00-08). Universiteit van Amsterdam. http://www1.fee.uva.nl/cendef/publications/papers/diks002.ps
- Diks, C. G. H., & Mudelsee, M. (2000). Redundancies in the Earth's climatological time series. (CeNDEF Working Paper; No. 00-07). Universiteit van Amsterdam. http://www1.fee.uva.nl/cendef/publications/papers/diks001.ps
1999
- Diks, C. G. H. (1999). Consistent testing for serial independence. (CeNDEF Working Paper; No. 99-02). Amsterdam: Universiteit van Amsterdam.
2020
- Meertens, Q. A., Diks, C. & Takes, F. (7-12-2020). Global business register used to estimate cross-border internet purchases within the EU. Universiteit van Amsterdam. https://doi.org/10.21942/uva.13303082.v1
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Ancillary activities
- No ancillary activities
Papana, A., Kyrtsou, C., Kugiumtzis, D., & Diks, C. (2023). Identification of causal relationships in non-stationary time series with an information measure: Evidence for simulated and financial data. Empirical Economics, 64(3), 1399–1420.