[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
create a website
Bootstrap forecast of multivariate VAR models without using the backward representation. (2011). Ruiz, Esther ; Fresoli, Diego ; Pascual, Lorenzo .
In: DES - Working Papers. Statistics and Econometrics. WS.
RePEc:cte:wsrepe:ws113426.

Full description at Econpapers || Download paper

Cited: 4

Citations received by this document

Cites: 46

References cited by this document

Cocites: 29

Documents which have cited the same bibliography

Coauthors: 0

Authors who have wrote about the same topic

Citations

Citations received by this document

  1. Comparing several methods to compute joint prediction regions for path forecasts generated by vector autoregressions. (2015). Bruder, Stefan.
    In: ECON - Working Papers.
    RePEc:zur:econwp:181.

    Full description at Econpapers || Download paper

  2. Bootstrap multi-step forecasts of non-Gaussian VAR models. (2015). Ruiz, Esther ; Fresoli, Diego ; Pascual, Lorenzo .
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:31:y:2015:i:3:p:834-848.

    Full description at Econpapers || Download paper

  3. Modified Scheffé’s Prediction Bands. (2013). Staszewska-Bystrova, Anna.
    In: Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik).
    RePEc:jns:jbstat:v:233:y:2013:i:5-6:p:680-690.

    Full description at Econpapers || Download paper

  4. Constructing narrowest pathwise bootstrap prediction bands using threshold accepting. (2013). Winker, Peter ; Staszewska-Bystrova, Anna.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:29:y:2013:i:2:p:221-233.

    Full description at Econpapers || Download paper

References

References cited by this document

  1. AriËno, M.A. and P.H. Franses (2000), Forecasting the levels of vector autoregressions logtransformed time series, International Journal of Forecasting, 16, 111-116.
    Paper not yet in RePEc: Add citation now
  2. Bardsen, G. and H. Lutkepolh (2011), Forecasting levels of log variables in vector autoregressions, International Journal of Forecasting, 27(4), 1108-1115.

  3. Chan, K.-S., L.-H. Ho and H. Tong (2006), A note on time-reversibility of multivariate linear processes, Biometrika, 93(1), 221-227.

  4. Chevillon, G. (2009), Multi-step forecasting in emerging economies: An investigation of the South African GDP, International Journal of Forecasting, 25, 602-628.

  5. Chow, H.K. and K.M. Choy (2006), Forecasting the global electronic cycle with leading indicators: A Bayesian VAR approach, International Journal of Forecasting, 22, 301-315.

  6. Clements, M.P. and J. Smith (2002), Evaluating multivariate forecast densities: a comparison of two approaches, International Journal of Forecasting, 18, 397-407.

  7. Diebold, F.X., J. Hahn and A.S. Tay (1999), Multivariate density forecast evaluation and calibration in ïnancial risk management: High-frequency returns on foreign exchange, The Review of Economics and Statistics, 81(4), 661-673.

  8. Doornik, J.A. and Hansen, H. (2008), An Omnibus Test for Univariate and Multivariate Normality, Oxford Bulletin of Economics and Statistics, 70, 927-939.

  9. Eklund, B. (2005), Estimating conïdence regions over bounded domains, Journal Computational Statistics & Data Analysis, 49(2), 349-360.

  10. Fachin, S. and L. Bravetti (1996), Asymptotic Normal and Boostrap Inference in Structural VAR Analysis, Journal of Forecasting, 15, 329-341.
    Paper not yet in RePEc: Add citation now
  11. Gomez, N. and V. Guerrero (2006), Restricted forecasting with VAR models: An analysis of a test for joint compatibility between restrictions and forecasts, International Journal of Forecasting, 22, 751-770.

  12. Grigoletto, M. (2005), Bootstrap prediction regions for multivariate autoregressive processes, Statistical Methods and Applications, 14, 179-207.

  13. Hall, P. (1992), The bootstrap and Edgeworth expansions, Springer-Verlag, New York.
    Paper not yet in RePEc: Add citation now
  14. Harvey, A.C. (1989), Forecasting, Structural Time Series Models and the Kalman Filter, Cambridge University Press.
    Paper not yet in RePEc: Add citation now
  15. Hyndman, R.J. (1996), Computing and graphing highest density regions, The American Statistician, 50(2), 120-126.
    Paper not yet in RePEc: Add citation now
  16. Kilian, L. (1998). Conïdence intervals for impulse responses under departures from normality, Econometric Reviews, 17, 1-29.

  17. Kim, J.H. (1997), Relationship between the forward and backward representation of the stationary VAR model, Problem 97.5.2, Econometric Theory, 13, 899-990.
    Paper not yet in RePEc: Add citation now
  18. Kim, J.H. (1998), Relationship between the forward and backward representation of the stationary VAR model, Solution 97.5.2, Econometric Theory, 14, 691-693.
    Paper not yet in RePEc: Add citation now
  19. Kim, J.H. (1999), Asymptotic and bootstrap prediction regions for Vector Autoregression, International Journal of Forecasting, 15, 393-403.

  20. Kim, J.H. (2001), Bootstrap after bootstrap prediction intervals for autoregressive models, Journal of Business & Economic Statistics, 19(1), 117-128.

  21. Kim, J.H. (2004), Bias-corrected bootstrap prediction regions for Vector Autoregression, Journal of Forecasting, 23, 141-154.

  22. Lewis R. and Reinsel, G.C. (1985), Prediction of multivariate time series by autoregressive model ïtting, Journal of Multivariate Analysis, 16, 393-411.

  23. Lutkepolh, H. (1991), Introduction to Multiple Time Series Analysis, 2nd ed., SpringerVerlag, Berlin.
    Paper not yet in RePEc: Add citation now
  24. Lutkepolh, H. (2006), Forecasting with VARMA models, in Elliot, G., C.W.J. Granger and A. Timmerman (eds.), Handbook of Economic Forecasting, Vol. 1, 287-325.
    Paper not yet in RePEc: Add citation now
  25. Mardia, K.V. (1970), Measures of multivariate skewness and kurtosis with applications, Biometrika, 57(3), 519-530.
    Paper not yet in RePEc: Add citation now
  26. Paparoditis, E. (1996). Bootstrapping autoregressivce and moving average parameter estimates of inïnite order vector autoregressive processes, Journal of Multivariate Analysis, 57, 277-296.
    Paper not yet in RePEc: Add citation now
  27. Pascual, L., J. Romo, and E. Ruiz (2004a). Bootstrap predictive inference for ARIMA processes, Journal of Time Series Analysis, 25, 449-465.
    Paper not yet in RePEc: Add citation now
  28. Pascual, L., J. Romo, and E. Ruiz (2004b). Bootstrap prediction intervals for powertransformed time series, International Journal of Forecasting, 21(2), 219-235.

  29. Riise, T. and D. Tjostheim (1984), Theory and practice of multivariate ARMA forecasting, Journal of Forecasting, 3, 309-317.
    Paper not yet in RePEc: Add citation now
  30. RodrÄguez A. and Ruiz E. (2009), Bootstrap prediction intervals in statespace models, Journal of Time Series Analysis, 30(2), 167-178.
    Paper not yet in RePEc: Add citation now
  31. Runkle (1987), Vector autoregressions and reality, Journal of Business & Economic Statistics, 5(4), 437-442.

  32. Schmidt, P. (1977), Some small sample evidence on the distribution of dynamic simulation forecasts, Econometrica, 45(4), 997-1005.

  33. Simkins, S. (1995), Forecasting with vector autoregressive (VAR) models subject to business cycle restrictions, International Journal of Forecasting, 11, 569-583.

  34. Sims, C.A. and T. Zha (1998), Error bands for impulse responses, Econometrica, 67(5), 1113-1155.
    Paper not yet in RePEc: Add citation now
  35. Sims, C.A. and T. Zha (1999), Bayesian methods for dynamic multivariate models, International Economis Review, 39, 949-968.
    Paper not yet in RePEc: Add citation now
  36. Staszewska-Bystova, A. (2010), Bootstrap prediction bands for forecast paths from vector autoregression models, Journal of Forecasting, doi:10.1002 /for.1205.

  37. Stine, J.H. (1987), Estimating properties of autoregressive forecasts, Journal of Economic Perspectives, 15(4), 101-115.
    Paper not yet in RePEc: Add citation now
  38. Stock J.H. and M.W. Watson (2001), Vector autoregressions, Journal of Economic Perspective, 15(4), 101-115.

  39. Stock J.H. and M.W. Watson (2007), Why Has U.S. Inïation Become Harder to Forecast?, Journal of Money, Credit and Banking, 39, 13-33.
    Paper not yet in RePEc: Add citation now
  40. Tay, A.S. and K.F. Wallis (2000). Density forecasting: a survey, Journal of Forecasting, 19, 235-254.

  41. Terasvirta, T. and Zhao, Z. (2011). Stylized facts of return series, robust estimates, and three popular models of volatility, Applied Financial Economics, 21(1),67-94.

  42. Thombs L. A. and W.R. Schucany (1990), Bootstrap prediction intervals for autoregression, Journal of the American Statistical Association, 85, 486-92.
    Paper not yet in RePEc: Add citation now
  43. Tong, H. and Z. Zhang (2005), On time-reversibility of multivariate linear processes, Statistica Sinica, 15, 495-504.
    Paper not yet in RePEc: Add citation now
  44. Waggoner, D.F. and T. Zha (1999), Conditional forecasts in dynamic multivariate models, The Review of Economics and Statistics, 81(4), 639-651.

  45. West, K.D. (1996), Asymptotic inference about predictive ability, Econometrica, 64(5), 10671084.

  46. West, K.D. and M.W. McCracken (1998), Regression based test of predictive ability, International Economic Review, 39, 817-840. (a) Empirical (b) Gaussian (c) Asymptotic Gaussian (d) Kimâs bootstrap (e) New bootstrap

Cocites

Documents in RePEc which have cited the same bibliography

  1. Modelling common bubbles in cryptocurrency prices. (2024). Jasiak, Joann ; Hall, Mauri K.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:139:y:2024:i:c:s026499932400138x.

    Full description at Econpapers || Download paper

  2. A treatment-effect model to quantify human dimensions of disaster impacts: the case of Hurricane Maria in Puerto Rico. (2023). Reddy, Agami T ; Jevti, Petar ; Carvalhaes, Thomaz ; Martinez-Rivera, Wilmer.
    In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
    RePEc:spr:nathaz:v:116:y:2023:i:2:d:10.1007_s11069-022-05753-6.

    Full description at Econpapers || Download paper

  3. Dynamic deconvolution and identification of independent autoregressive sources. (2023). Jasiak, Joann ; Gourieroux, Christian.
    In: Journal of Time Series Analysis.
    RePEc:bla:jtsera:v:44:y:2023:i:2:p:151-180.

    Full description at Econpapers || Download paper

  4. GCov-Based Portmanteau Test. (2023). Neyazi, Aryan Manafi ; Jasiak, Joann.
    In: Papers.
    RePEc:arx:papers:2312.05373.

    Full description at Econpapers || Download paper

  5. Optimization of the Generalized Covariance Estimator in Noncausal Processes. (2023). Jasiak, Joann ; Hecq, Alain ; Cubadda, Gianluca ; Giancaterini, Francesco.
    In: Papers.
    RePEc:arx:papers:2306.14653.

    Full description at Econpapers || Download paper

  6. Estimating the non-Gaussian Dimension in Structural Linear Systems. (2022). Cabello, Miguel.
    In: Papers.
    RePEc:arx:papers:2212.07263.

    Full description at Econpapers || Download paper

  7. Stationary bubble equilibria in rational expectation models. (2020). Monfort, Alain ; Jasiak, J ; Gourieroux, C.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:218:y:2020:i:2:p:714-735.

    Full description at Econpapers || Download paper

  8. Noncausal vector AR processes with application to economic time series. (2020). Song, LI ; Davis, Richard A.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:216:y:2020:i:1:p:246-267.

    Full description at Econpapers || Download paper

  9. Identifiability and Estimation of Possibly Non-Invertible SVARMA Models: A New Parametrisation. (2020). Funovits, Bernd.
    In: Papers.
    RePEc:arx:papers:2002.04346.

    Full description at Econpapers || Download paper

  10. Prediction Regions for Interval-valued Time Series. (2018). Ruiz, Esther ; Gonzalez-Rivera, Gloria ; Luo, Yun.
    In: Working Papers.
    RePEc:ucr:wpaper:201817.

    Full description at Econpapers || Download paper

  11. Realised variance forecasting under Box-Cox transformations. (2017). Taylor, Nick.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:33:y:2017:i:4:p:770-785.

    Full description at Econpapers || Download paper

  12. Noncausal vector autoregressive process: Representation, identification and semi-parametric estimation. (2017). Jasiak, Joann ; gourieroux, christian.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:200:y:2017:i:1:p:118-134.

    Full description at Econpapers || Download paper

  13. Identification and estimation of non-Gaussian structural vector autoregressions. (2017). Saikkonen, Pentti ; Meitz, Mika ; Lanne, Markku.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:196:y:2017:i:2:p:288-304.

    Full description at Econpapers || Download paper

  14. Filtering, Prediction and Simulation Methods for Noncausal Processes. (2016). Jasiak, Joann ; gourieroux, christian.
    In: Journal of Time Series Analysis.
    RePEc:bla:jtsera:v:37:y:2016:i:3:p:405-430.

    Full description at Econpapers || Download paper

  15. Bootstrap multi-step forecasts of non-Gaussian VAR models. (2015). Ruiz, Esther ; Fresoli, Diego ; Pascual, Lorenzo .
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:31:y:2015:i:3:p:834-848.

    Full description at Econpapers || Download paper

  16. Log versus level in VAR forecasting: 42 million empirical answers—Expect the unexpected. (2015). Ulbricht, Dirk ; Mayr, Johannes .
    In: Economics Letters.
    RePEc:eee:ecolet:v:126:y:2015:i:c:p:40-42.

    Full description at Econpapers || Download paper

  17. Resiliency of the limit order book. (2015). Hall, Anthony ; Lo, Danny K.
    In: Journal of Economic Dynamics and Control.
    RePEc:eee:dyncon:v:61:y:2015:i:c:p:222-244.

    Full description at Econpapers || Download paper

  18. On Uniqueness of Moving Average Representations of Heavy-tailed Stationary Processes. (2015). Zakoian, Jean-Michel ; gourieroux, christian.
    In: Journal of Time Series Analysis.
    RePEc:bla:jtsera:v:36:y:2015:i:6:p:876-887.

    Full description at Econpapers || Download paper

  19. Identification and estimation of non-Gaussian structural vector autoregressions. (2015). Saikkonen, Pentti ; Meitz, Mika ; Lanne, Markku.
    In: CREATES Research Papers.
    RePEc:aah:create:2015-16.

    Full description at Econpapers || Download paper

  20. Testing for Noncausal Vector Autoregressive Representation. (2014). Hamidi Sahneh, Mehdi ; Hamidisahneh, Mehdi .
    In: MPRA Paper.
    RePEc:pra:mprapa:68867.

    Full description at Econpapers || Download paper

  21. On uniqueness of moving average representations of heavy-tailed stationary processes. (2014). Zakoian, Jean-Michel ; gourieroux, christian.
    In: MPRA Paper.
    RePEc:pra:mprapa:54907.

    Full description at Econpapers || Download paper

  22. Does the Box–Cox transformation help in forecasting macroeconomic time series?. (2013). Proietti, Tommaso ; Lütkepohl, Helmut ; Lutkepohl, Helmut.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:29:y:2013:i:1:p:88-99.

    Full description at Econpapers || Download paper

  23. NONCAUSAL VECTOR AUTOREGRESSION. (2013). Saikkonen, Pentti ; Lanne, Markku.
    In: Econometric Theory.
    RePEc:cup:etheor:v:29:y:2013:i:03:p:447-481_00.

    Full description at Econpapers || Download paper

  24. On testing for non-linear and time irreversible probabilistic structure in high frequency ASX financial time series data. (2012). Wild, Phillip ; Foster, John.
    In: Discussion Papers Series.
    RePEc:qld:uq2004:466.

    Full description at Econpapers || Download paper

  25. Does the Box-Cox transformation help in forecasting macroeconomic time series?. (2011). Proietti, Tommaso ; Lütkepohl, Helmut.
    In: MPRA Paper.
    RePEc:pra:mprapa:32294.

    Full description at Econpapers || Download paper

  26. Does the Box-Cox Transformation Help in Forecasting Macroeconomic Time Series?. (2011). Proietti, Tommaso ; Lütkepohl, Helmut ; Luetkepohl, Helmut .
    In: Economics Working Papers.
    RePEc:eui:euiwps:eco2011/29.

    Full description at Econpapers || Download paper

  27. Bootstrap forecast of multivariate VAR models without using the backward representation. (2011). Ruiz, Esther ; Fresoli, Diego ; Pascual, Lorenzo .
    In: DES - Working Papers. Statistics and Econometrics. WS.
    RePEc:cte:wsrepe:ws113426.

    Full description at Econpapers || Download paper

  28. Forecasting Annual Inflation with Seasonal Monthly Data: Using Levels versus Logs of the Underlying Price Index. (2011). Xu, Fang ; Lütkepohl, Helmut ; Luetkepohl, Helmut .
    In: Journal of Time Series Econometrics.
    RePEc:bpj:jtsmet:v:3:y:2011:i:1:n:7.

    Full description at Econpapers || Download paper

Coauthors

Authors registered in RePEc who have wrote about the same topic

Report date: 2025-01-30 15:29:53 || Missing content? Let us know

CitEc is a RePEc service, providing citation data for Economics since 2001. Sponsored by INOMICS. Last updated October, 6 2023. Contact: CitEc Team.