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Volumn 51, Issue 4, 2006, Pages 2115-2117

Special Issue on Nonlinear Modelling and Financial Econometrics

Author keywords

[No Author keywords available]

Indexed keywords


EID: 33750999916     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2006.09.022     Document Type: Editorial
Times cited : (7)

References (35)
  • 1
    • 33750973342 scopus 로고    scopus 로고
    • Arteche, J., 2006. Semiparametric estimation in perturbed long memory series. Comput. Statist. Data Anal., this issue, doi:10.1016/j.csda.2006.07.023.
  • 2
    • 33750990745 scopus 로고    scopus 로고
    • Audrino, F., Barone-Adesi, G., 2006. A dynamic model of expected bond returns: a functional gradient descent approach. Comput. Statist. Data Anal., this issue, doi:10.1016/j.csda.2006.07.024.
  • 3
    • 4444310447 scopus 로고    scopus 로고
    • Fitting piecewise linear threshold autoregressive models by means of genetic algorithms
    • Baragona R., Battaglia F., and Cucina D. Fitting piecewise linear threshold autoregressive models by means of genetic algorithms. Comput. Statist. Data Anal. 47 (2004) 277-295
    • (2004) Comput. Statist. Data Anal. , vol.47 , pp. 277-295
    • Baragona, R.1    Battaglia, F.2    Cucina, D.3
  • 5
    • 8344270238 scopus 로고    scopus 로고
    • Gaussian process for nonstationary time series prediction
    • Brahim-Belhouari S., and Bermak A. Gaussian process for nonstationary time series prediction. Comput. Statist. Data Anal. 47 (2004) 705-712
    • (2004) Comput. Statist. Data Anal. , vol.47 , pp. 705-712
    • Brahim-Belhouari, S.1    Bermak, A.2
  • 6
    • 33644648340 scopus 로고    scopus 로고
    • Unobserved component models with asymmetric conditional variances
    • Broto C., and Ruiz E. Unobserved component models with asymmetric conditional variances. Comput. Statist. Data Anal. 50 (2006) 2146-2166
    • (2006) Comput. Statist. Data Anal. , vol.50 , pp. 2146-2166
    • Broto, C.1    Ruiz, E.2
  • 7
    • 33750970824 scopus 로고    scopus 로고
    • Brownless, C., Gallo, G., 2006. Financial econometric analysis at ultra-high frequency: data handling concerns, Comput. Statist. Data Anal., this issue, doi:10.1016/j.csda.2006.09.030.
  • 8
    • 33750985945 scopus 로고    scopus 로고
    • Bulla, I., Bulla, J., 2006. Stylized facts of financial time series and hidden semi-Markov models. Comput. Statist. Data Anal., this issue, doi:10.1016/j.csda.2006.07.021.
  • 9
    • 33750990462 scopus 로고    scopus 로고
    • Chen, C.W.S., Gerlach, R., So, M.K.P., 2006. Comparison of non-nested asymmetric heteroskedastic models. Comput. Statist. Data Anal., this issue, doi:10.1016/j.csda.2006.07.025.
  • 10
    • 17644366833 scopus 로고    scopus 로고
    • Small-sample improvements in the statistical analysis of seasonally cointegrated systems
    • Cubadda G., and Omtzigt P. Small-sample improvements in the statistical analysis of seasonally cointegrated systems. Comput. Statist. Data Anal. 49 (2005) 333-348
    • (2005) Comput. Statist. Data Anal. , vol.49 , pp. 333-348
    • Cubadda, G.1    Omtzigt, P.2
  • 11
    • 0037454030 scopus 로고    scopus 로고
    • Modeling vector nonlinear time series using POLYMARS
    • De Gooijer J.G., and Ray B.K. Modeling vector nonlinear time series using POLYMARS. Comput. Statist. Data Anal. 42 (2003) 73-90
    • (2003) Comput. Statist. Data Anal. , vol.42 , pp. 73-90
    • De Gooijer, J.G.1    Ray, B.K.2
  • 12
    • 33750984192 scopus 로고    scopus 로고
    • De Luca, G., Zuccolotto, P., 2006. Regime-switching Pareto distributions for ACD models. Comput. Statist. Data Anal., this issue, doi:10.1016/j.csda.2006.08.019.
  • 13
    • 33750978975 scopus 로고    scopus 로고
    • Duchesne, P., 2006. Testing for multivariate autoregressive conditional heteroskedasticity using wavelets. Comput. Statist. Data Anal., this issue, doi:10.1016/j.csda.2006.07.022.
  • 14
    • 33750977537 scopus 로고    scopus 로고
    • Escanciano, C., Velasco, C., 2006. Testing the martingale difference hypothesis using integrated regression functions. Comput. Statist. Data Anal., this issue, doi:10.1016/j.csda.2006.07.039.
  • 15
    • 17644388493 scopus 로고    scopus 로고
    • Bootstrapping heteroskedastic regression models: wild bootstrap vs. pairs bootstrap
    • Flachaire E. Bootstrapping heteroskedastic regression models: wild bootstrap vs. pairs bootstrap. Comput. Statist. Data Anal. 49 (2005) 361-376
    • (2005) Comput. Statist. Data Anal. , vol.49 , pp. 361-376
    • Flachaire, E.1
  • 16
    • 33750739221 scopus 로고    scopus 로고
    • Fong, P.W., Li, W.K., An, H.-Z., 2006. A simple multivariate ARCH model specified by random coefficients. Comput. Statist. Data Anal., in press, doi:10.1016/j.csda.2005.11.019.
  • 17
    • 33751231708 scopus 로고    scopus 로고
    • Frijns, B., Schotman, P.C., 2006. Nonlinear dynamics in Nasdaq dealer quotes. Comput. Statist. Data Anal., this issue, doi:10.1016/j.csda.2006.09.011.
  • 18
    • 33947654893 scopus 로고    scopus 로고
    • Giordano, F., LaRocca, M., Perna, C., 2006. Forecasting nonlinear time series with neural network sieve bootstrap. Comput. Statist. Data Anal., in press, doi:10.1016/j.csda.2006.03.003.
  • 19
    • 17644367160 scopus 로고    scopus 로고
    • Using the wild bootstrap to implement heteroskedasticity-robust tests for serial correlation in dynamic regression models
    • Godfrey L.G., and Tremayne A. Using the wild bootstrap to implement heteroskedasticity-robust tests for serial correlation in dynamic regression models. Comput. Statist. Data Anal. 49 (2005) 377-395
    • (2005) Comput. Statist. Data Anal. , vol.49 , pp. 377-395
    • Godfrey, L.G.1    Tremayne, A.2
  • 20
    • 33751005555 scopus 로고    scopus 로고
    • Hartza, C., Mittnika, S., Paolella, M., 2006. Accurate value at risk forecasting based on the (good old) normal-GARCH model. Comput. Statist. Data Anal., this issue, doi:10.1016/j.csda.2006.09.017.
  • 21
    • 33750997272 scopus 로고    scopus 로고
    • Hlávka, Z., 2006. Fast algorithm for nonparametric arbitrage-free SPD estimation. Comput. Statist. Data Anal., this issue, doi:10.1016/j.csda.2006.08.006.
  • 22
    • 17644412903 scopus 로고    scopus 로고
    • Computing estimates of continuous time macroeconometric models on the basis of discrete data
    • Jewitt G., and McCroie J.R. Computing estimates of continuous time macroeconometric models on the basis of discrete data. Comput. Statist. Data Anal. 49 (2005) 397-416
    • (2005) Comput. Statist. Data Anal. , vol.49 , pp. 397-416
    • Jewitt, G.1    McCroie, J.R.2
  • 23
    • 33750967610 scopus 로고    scopus 로고
    • Jung, R.C., Kukuk, M., Liesenfeld, R., 2006. Time series of count data: modelling, estimation and diagnostics. Comput. Statist. Data Anal., this issue, doi:10.1016/j.csda.2006.08.001.
  • 24
    • 33750987105 scopus 로고    scopus 로고
    • Kim, M.S., Wang, S., 2006. On the applicability of a stochastic volatility (SV) model and an SV model with jumps for some U.S. T-Bill yields data, Comput. Statist. Data Anal., this issue, doi:10.1016/j.csda.2006.08.002.
  • 25
    • 33750378317 scopus 로고    scopus 로고
    • Koopman, S.J., Ooms, M., 2006. Forecasting daily time series using periodic unobserved components time series models. Comput. Statist. Data Anal., in press, doi:10.1016/j.csda.2005.09.009.
  • 26
    • 33644689025 scopus 로고    scopus 로고
    • Bootstrap prediction for returns and volatilities in GARCH models
    • Pascual L., Romo J., and Ruiz E. Bootstrap prediction for returns and volatilities in GARCH models. Comput. Statist. Data Anal. 50 (2006) 2293-2312
    • (2006) Comput. Statist. Data Anal. , vol.50 , pp. 2293-2312
    • Pascual, L.1    Romo, J.2    Ruiz, E.3
  • 27
    • 33644643624 scopus 로고    scopus 로고
    • Econometric methods of signal extraction
    • Pollock D.S.G. Econometric methods of signal extraction. Comput. Statist. Data Anal. 50 (2006) 2268-2292
    • (2006) Comput. Statist. Data Anal. , vol.50 , pp. 2268-2292
    • Pollock, D.S.G.1
  • 28
    • 17644394615 scopus 로고    scopus 로고
    • New algorithms for dating the business cycle
    • Proietti T. New algorithms for dating the business cycle. Comput. Statist. Data Anal. 49 (2005) 477-498
    • (2005) Comput. Statist. Data Anal. , vol.49 , pp. 477-498
    • Proietti, T.1
  • 29
    • 33750712383 scopus 로고    scopus 로고
    • Storti, G., 2006. Minimum distance estimation of GARCH(1,1) models. Comput. Statist. Data Anal., in press, doi:10.1016/j.csda.2005.11.020.
  • 30
    • 17644395667 scopus 로고    scopus 로고
    • How stable are monetary policy rules: estimating the time-varying coefficients in monetary policy reaction function for the U.S.
    • Swamy P.A.V.B., Tavlas G., and Chang I. How stable are monetary policy rules: estimating the time-varying coefficients in monetary policy reaction function for the U.S. Comput. Statist. Data Anal. 49 (2005) 75-590
    • (2005) Comput. Statist. Data Anal. , vol.49 , pp. 75-590
    • Swamy, P.A.V.B.1    Tavlas, G.2    Chang, I.3
  • 31
    • 34147126976 scopus 로고    scopus 로고
    • van Dijk, D., Philip Hans Franses, P.H., Boswijk, H.P., 2006, Absorption of shocks in nonlinear autoregressive models. Comput. Statist. Data Anal., in press, doi:10.1016/j.csda.2006.04.033.
  • 32
    • 33751021084 scopus 로고    scopus 로고
    • Varin, C., Vidoni, P., 2006. Pairwise likelihood inference for ordinal categorical time series. Comput. Statist. Data Anal., this issue, doi:10.1016/j.csda.2006.09.009.
  • 33
    • 17644420014 scopus 로고    scopus 로고
    • Evaluating volatility forecasts in option pricing in the context of a simulated options market
    • Xekalaki E., and Degiannakis S. Evaluating volatility forecasts in option pricing in the context of a simulated options market. Comput. Statist. Data Anal. 49 (2005) 611-629
    • (2005) Comput. Statist. Data Anal. , vol.49 , pp. 611-629
    • Xekalaki, E.1    Degiannakis, S.2
  • 34
    • 33750998155 scopus 로고    scopus 로고
    • Yu, J., Yang, Z., Zang, X., 2006. A class of nonlinear stochastic volatility models and its implications on pricing currency options. Comput. Statist. Data Anal., this issue, doi:10.1016/j.csda.2006.08.024.
  • 35
    • 33750970273 scopus 로고    scopus 로고
    • Zhang, Z., Huang, J., 2006. Extremal financial risk models and portfolio evaluation. Comput. Statist. Data Anal., this issue, doi:10.1016/j.csda.2006.09.042.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.