Nothing Special   »   [go: up one dir, main page]

create a website
Regime Switching Stochastic Volatility with Skew, Fat Tails and Leverage using Returns and Realized Volatility Contemporaneously. (2014). Trojan, Sebastian .
In: Economics Working Paper Series.
RePEc:usg:econwp:2013:41.

Full description at Econpapers || Download paper

Cited: 1

Citations received by this document

Cites: 86

References cited by this document

Cocites: 50

Documents which have cited the same bibliography

Coauthors: 0

Authors who have wrote about the same topic

Citations

Citations received by this document

  1. Volatility and Quantile Forecasts by Realized Stochastic Volatility Models with Generalized Hyperbolic Distribution. (2014). Takahashi, Makoto ; Omori, Yasuhiro ; Watanabe, Toshiaki ; Shoji, Masahiro.
    In: CIRJE F-Series.
    RePEc:tky:fseres:2014cf921.

    Full description at Econpapers || Download paper

References

References cited by this document

  1. Aas, K. and I. H. Haff (2006). The generalized hyperbolic skew student’s tdistribution. Journal of Financial Econometrics 4(2), 275–309.

  2. Abanto-Valle, C. A., H. S. Migon, and H. F. Lopes (2010). Bayesian modeling of financial returns: A relationship between volatility and trading volume. Applied Stochastic Models in Business and Industry 26(2), 172–193.

  3. Abanto-Valle, C. A., V. H. Lachos, and D. Dey (2012). Stock return volatility, heavy tails, skewness and trading volume: A bayesian approach. Submitted.
    Paper not yet in RePEc: Add citation now
  4. Abanto-Valle, C., V. Lachos, and D. K. Dey (2013). Bayesian estimation of a skew-student-t stochastic volatility model. Methodology and Computing in Applied Probability, 1–18.
    Paper not yet in RePEc: Add citation now
  5. Abramowitz, M. and I. A. Stegun (1972). Handbook of Mathematical Functions. New York, USA: Dover Publications.
    Paper not yet in RePEc: Add citation now
  6. Alizadeh, S., M. W. Brandt, and F. X. Diebold (2002). Range-based estimation of stochastic volatility models. The Journal of Finance 57(3), 1047–1091.

  7. Andersen, T. G. (1996). Return volatility and trading volume: An information flow interpretation of stochastic volatility. The Journal of Finance 51(1), 169–204.

  8. Andersen, T. G. and L. Benzoni (2008). Stochastic volatility. Chapter prepared for the Encyclopedia of Complexity and System Science (Springer). Available at SSRN: http://ssrn.com/abstract=1076672 or http://dx.doi.org/10.2139/ssrn.1076672.

  9. Andersen, T. G. and T. Bollerslev (1998). Answering the skeptics: Yes, standard volatility models do provide accurate forecasts. International Economic Review 39(4), 885–905.

  10. Andrews, D. W. K. (1991). Heteroskedasticity and autocorrelation consistent covariance matrix estimation. Econometrica 59(3), 817–858.

  11. Asai, M. (2008). Autoregressive stochastic volatility models with heavy-tailed distributions: A comparison with multifactor volatility models. Journal of Empirical Finance 15(2), 332–341.

  12. Barndorff-Nielsen, O. E. (1977). Exponentially decreasing distributions for the logarithm of particle size. Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences 353(1674), 401–419.
    Paper not yet in RePEc: Add citation now
  13. Barndorff-Nielsen, O. E. and N. Shephard (2001a). Non-gaussian ornsteinuhlenbeck -based models and some of their uses in financial economics (with discussion). Journal of the Royal Statistical Society: Series B (Statistical Methodology) 63(2), 167–241.
    Paper not yet in RePEc: Add citation now
  14. Barndorff-Nielsen, O. E. and N. Shephard (2001b). Normal modified stable processes. Available on IDEAS RePEc.
    Paper not yet in RePEc: Add citation now
  15. Barndorff-Nielsen, O. E. and P. Blæsid (1981). Hyperbolic distributions and ramnifications: Contributions to theory and application. Statistical Distributions in Scientific Work 4, 19–44.
    Paper not yet in RePEc: Add citation now
  16. Bauwens, L., P. Giot, J. Grammig, and D. Veredas (2004). A comparison of financial duration models via density forecasts. International Journal of Forecasting 20(4), 589–609.

  17. Black, F. (1976). Studies in stock price volatility changes. In Proceedings of the 1976 Meeting of the Business and Economic Statistics Section, pp. 177–181. American Statistical Association.
    Paper not yet in RePEc: Add citation now
  18. Bos, C. S. (2011). Relating stochastic volatility estimation methods. Discussion Paper 11-049/4 Tinbergen Institute and VU University Amsterdam.

  19. Bouchaud, J.-P. and M. Potters (2009). Theory of Financial Risk and Derivative Pricing. Cambridge, UK: Cambridge University Press.

  20. Brandt, M. W. and C. S. Jones (2005). Bayesian range-based estimation of stochastic volatility models. Finance Research Letters 2(4), 201–209.

  21. Broto, C. and E. Ruiz (2004). Estimation methods for stochastic volatility models: a survey. Journal of Economic Surveys 18(5), 613–649.

  22. Bulla, J. (2011). Hidden markov models with t components. increased persistence and other aspects. Quantitative Finance 11(3), 459–475.

  23. Cappuccio, N., D. Lubian, and D. Raggi (2004). Mcmc bayesian estimation of a skew-ged stochastic volatility model. Studies in Nonlinear Dynamics & Econometrics 8(2). Article 6.

  24. Carvalho, C. M. and H. F. Lopes (2007). Simulation-based sequential analysis of markov switching stochastic volatility models. Computational Statistics & Data Analysis 51(9), 4526–4542.

  25. Chan, J. C.-C. and I. Jeliazkov (2009). Mcmc estimation of restricted covariance matrices. Journal of Computational and Graphical Statistics 18(2), 457–480.
    Paper not yet in RePEc: Add citation now
  26. Chernov, M., A. R. Gallant, E. Ghysels, and G. Tauchen (2003). Alternative models for stock price dynamics. Journal of Econometrics 116(1-2), 225– 257. Frontiers of financial econometrics and financial engineering.

  27. Chib, S. (1996). Calculating posterior distributions and modal estimates in markov mixture models. Journal of Econometrics 75(1), 79–97.

  28. Chib, S. and E. Greenberg (1995). Understanding the metropolis-hastings algorithm. Journal of the American Statistical Association 49(4), 327–335.
    Paper not yet in RePEc: Add citation now
  29. Chib, S., F. Nardari, and N. Shephard (2002). Markov chain monte carlo methods for stochastic volatility models. Journal of Econometrics 108(2), 281–316.

  30. Christie, A. A. (1982). The stochastic behavior of common stock variances : Value, leverage and interest rate effects. Journal of Financial Economics 10(4), 407–432.

  31. Clark, P. K. (1973). A subordinated stochastic process model with finite variance for speculative prices. Econometrica 41(1), 135–155.

  32. de Jong, P. and N. Shephard (1995). The simulation smoother for time series models. Biometrika 82(2), 339–350.
    Paper not yet in RePEc: Add citation now
  33. Diebold, F. X., T. A. Gunther, and A. S. Tay (1998). Evaluating density forecasts with applications to financial risk management. International Economic Review 39(4), 863–883.

  34. Douc, R., O. Cappe, and E. Moulines (2005). Comparison of resampling schemes for particle filtering. In In 4th International Symposium on Image and Signal Processing and Analysis (ISPA), pp. 64–69.
    Paper not yet in RePEc: Add citation now
  35. Doucet, A., N. de Freitas, and N. Gordon (2001). Sequential Monte Carlo Methods in Practice. New York, USA: Springer.
    Paper not yet in RePEc: Add citation now
  36. Durbin, J. and S. J. Koopman (2002). A simple and efficient simulation smoother for state space time series analysis. Biometrika 89(3), 603–615.

  37. Durbin, J. and S. J. Koopman (2008). Time Series Analysis by State Space Methods. Oxford, UK: Oxford University Press.
    Paper not yet in RePEc: Add citation now
  38. Durham, G. B. (2006). Monte carlo methods for estimating, smoothing, and filtering one- and two-factor stochastic volatility models. Journal of Econometrics 133(1), 273–305.

  39. Fruhwirth-Schnatter, S. (2001). Markov chain monte carlo estimation of classical and dynamic switching and mixture models. Journal of the American Statistical Association 96(453), 194–209.

  40. Fruhwirth-Schnatter, S. (2006). Finite Mixture and Markov Switching Models. New York, USA: Springer.
    Paper not yet in RePEc: Add citation now
  41. Geweke, J. (1992). Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments. In J. M. Bernardo, J. O. Berger, A. P. Dawid, and A. F. M. Smith (Eds.), Bayesian Statistics, Volume 4, pp. 169– 188. New York, USA: Oxford University Press.
    Paper not yet in RePEc: Add citation now
  42. Hamilton, J. D. (1989). A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica 57(2), 357–384.

  43. Hansen, P. R. and A. Lunde (2006). Realized variance and market microstructure noise. Journal of Business & Economic Statistics 24(2), 127–161.

  44. Harvey, A. C. (1989). Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge, UK: Cambridge University Press.
    Paper not yet in RePEc: Add citation now
  45. Harvey, A. C., E. Ruiz, and N. Shephard (1994). Multivariate stochastic variance models. The Review of Economic Studies 61(2), 247–264.

  46. Hol, J. D., T. B. Schon, and F. Gustafsson (2006). On resampling algorithms for particle filters. In Nonlinear Statistical Signal Processing Workshop, Cambridge, UK. IEEE.
    Paper not yet in RePEc: Add citation now
  47. Hu, W. (2009). Calibration of Multivariate Generalized Hyperbolic Distributions. Saarbrucken, GER: VDM Publishing.
    Paper not yet in RePEc: Add citation now
  48. Jacquier, E. and S. Miller (2012). The information content of realized volatility. Working paper.
    Paper not yet in RePEc: Add citation now
  49. Jacquier, E., N. G. Polson, and P. E. Rossi (1994). Bayesian analysis of stochastic volatility models. Journal of Business & Economic Statistics 12(4), 371–389.

  50. Jacquier, E., N. G. Polson, and P. E. Rossi (2004). Bayesian analysis of stochastic volatility models with fat-tails and correlated errors. Journal of Econometrics 122(1), 185–212.

  51. Kim, C.-J. and C. R. Nelson (1998). Business cycle turning points, a new coincident index, and tests of duration dependence based on a dynamic factor model with regime switching. The Review of Economics and Statistics 80(2), 188–201.

  52. Kim, C.-J. and C. R. Nelson (1999). State-Space Models with Regime Switching. Cambridge, USA: MIT Press.
    Paper not yet in RePEc: Add citation now
  53. Kim, S., N. Shephard, and S. Chib (1998). Stochastic volatility: Likelihood inference and comparison with arch models. The Review of Economic Studies 65(3), 361–393.

  54. Koopman, S. J. (1993). Disturbance smoother for state space models. Biometrika 80(1), 117–126.
    Paper not yet in RePEc: Add citation now
  55. Koopman, S. J., B. Jungbacker, and E. Hol (2005). Forecasting daily variability of the s&p 100 stock index using historical, realised and implied volatility measurements. Journal of Empirical Finance 12(3), 445–475.

  56. Liesenfeld, R. and J.-F. Richard (2003). Univariate and multivariate stochastic volatility models: estimation and diagnostics. Journal of Empirical Finance 10(4), 505–531.

  57. Lo, A. W. and M. T. Muller (Second Quarter 2010). Warning: Physics envy may be hazardous to your wealth! Journal of Investment Management (JOIM) 8(2). Available at SSRN: http://ssrn.com/abstract=1639085.

  58. Mahieu, R. and R. Bauer (1998). A bayesian analysis of stock return volatility and trading volume. Applied Financial Economics 8(6), 671–687.

  59. McAleer, M. and M. C. Medeiros (2008). Realized volatility: A review. Econometric Reviews 27(1-3), 10–45.

  60. Molina, G., C.-H. Han, and J.-P. Fouque (2010). Mcmc estimation of multiscale stochastic volatility models. In C.-F. Lee and J. Lee (Eds.), Handbook of Quantitative Finance and Risk Management, Volume 5, pp. 1109–1120. New York, USA: Springer.
    Paper not yet in RePEc: Add citation now
  61. Nakajima, J. and Y. Omori (2009). Leverage, heavy-tails and correlated jumps in stochastic volatility models. Computational Statistics & Data Analysis 53(6), 2335–2353. The Fourth Special Issue on Computational Econometrics.

  62. Nakajima, J. and Y. Omori (2012). Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew student’s t-distribution. Computational Statistics & Data Analysis 56(11), 3690–3704. 1st issue of the Annals of Computational and Financial Econometrics. Sixth Special Issue on Computational Econometrics.

  63. Omori, Y. and T. Watanabe (2007). Block sampler and posterior mode estimation for a nonlinear and non-gaussian state-space model with correlated errors.

  64. Omori, Y. and T. Watanabe (2008). Block sampler and posterior mode estimation for asymmetric stochastic volatility models. Computational Statistics & Data Analysis 52(6), 2892–2910.

  65. Omori, Y., S. Chib, N. Shephard, and J. Nakajima (2007). Stochastic volatility with leverage: Fast and efficient likelihood inference. Journal of Econometrics 140(2), 425–449.

  66. Pemstein, D., K. M. Quinn, and A. D. Martin (2011). The scythe statistical library: An open source c++ library for statistical computation. Journal of Statistical Software 42(12), 1–26.

  67. Pitt, M. K. and N. Shephard (1999a). Filtering via simulation: Auxiliary particle filters. Journal of the American Statistical Association 94(446), 590–599.
    Paper not yet in RePEc: Add citation now
  68. Prause, K. (1999). The generalized hyperbolic models: Estimation, financial derivatives and risk measurement. PhD dissertation, University of Freiburg.
    Paper not yet in RePEc: Add citation now
  69. Revised edition August 2007.

  70. Robert, C. P. and G. Casella (2004). Monte Carlo Statistical Methods. New York, USA: Springer.
    Paper not yet in RePEc: Add citation now
  71. Robust bayesian analysis of heavy-tailed stochastic volatility models using scale mixtures of normal distributions. Computational Statistics & Data Analysis 54(12), 2883–2898.
    Paper not yet in RePEc: Add citation now
  72. Rosenblatt, M. (1952). Remarks on a multivariate transformation. The Annals of Mathematical Statistics 23(3), 470–472.
    Paper not yet in RePEc: Add citation now
  73. Scott, D. J., D. Wurtz, C. Dong, and T. T. Tran (2011). Moments of the generalized hyperbolic distribution. Computational Statistics 26(3), 459–476.

  74. Shephard, N. and M. K. Pitt (1997). Likelihood analysis of non-gaussian measurement time series. Biometrika 84(3), 653–667.
    Paper not yet in RePEc: Add citation now
  75. Shibata, M. and T. Watanabe (2005). Bayesian analysis of a markov switching stochastic volatility model. Journal of the Japan Statistical Society 35(2), 205–219.
    Paper not yet in RePEc: Add citation now
  76. So, M. K. P., K. Lam, and W. K. Li (1998). A stochastic volatility model with markov switching. Journal of Business & Economic Statistics 16(2), 244–253.

  77. Spiegelhalter, D. J., N. G. Best, B. P. Carlin, and A. van der Linde (2002). Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 64(4), 583–639.
    Paper not yet in RePEc: Add citation now
  78. Stephens, M. A. (1970). Use of the kolmogorov-smirnov, cramer-von mises and related statistics without extensive tables. Journal of the Royal Statistical Society. Series B (Methodological) 32(1), 115–122.
    Paper not yet in RePEc: Add citation now
  79. Takahashi, M., Y. Omori, and T. Watanabe (2009). Estimating stochastic volatility models using daily returns and realized volatility simultaneously. Computational Statistics & Data Analysis 53(6), 2404–2426. The Fourth Special Issue on Computational Econometrics.

  80. Tierney, L. (1994). Markov chains for exploring posterior distributions. The Annals of Statistics 22(4), 1701–1728.
    Paper not yet in RePEc: Add citation now
  81. Watanabe, T. (2000). Bayesian analysis of dynamic bivariate mixture models: Can they explain the behavior of returns and trading volume? Journal of Business & Economic Statistics 18(2), 199–210.

  82. Watanabe, T. and Y. Omori (2004). A multi-move sampler for estimating non-gaussian time series models: Comments on Shephard & Pitt (1997). Biometrika 91(1), 246–248.

  83. West, M. and J. Harrison (1997). Bayesian Forecasting and Dynamic Models (2nd ed.). New York, USA: Springer.
    Paper not yet in RePEc: Add citation now
  84. Whiteley, N. and A. M. Johansen (2011). Bayesian Time Series Models. Cambridge, UK: Cambridge University Press.
    Paper not yet in RePEc: Add citation now
  85. Yu, J. (2005). On leverage in a stochastic volatility model. Journal of Econometrics 127(2), 165–178.

  86. Zhang, L., P. A. Mykland, and Y. Aıt-Sahalia (2005). A tale of two time scales: Determining integrated volatility with noisy high-frequency data. Journal of the American Statistical Association 100(472), 1394–1411.

Cocites

Documents in RePEc which have cited the same bibliography

  1. Importance Sampling for Credit Portfolio Risk with Risk Factors Having t-Copula. (2017). Chen, Rongda ; Yu, Lean ; Wang, ZE.
    In: International Journal of Information Technology & Decision Making (IJITDM).
    RePEc:wsi:ijitdm:v:16:y:2017:i:04:n:s0219622017500201.

    Full description at Econpapers || Download paper

  2. A Flexible Generalised Hyperbolic Option Pricing Model and its Special Cases. (2016). Kwok, Simon S ; Boris, S T ; Yeap, Claudia.
    In: Working Papers.
    RePEc:syd:wpaper:2016-14.

    Full description at Econpapers || Download paper

  3. Highly flexible distributions to fit multiple frequency financial returns. (2016). BenSaïda, Ahmed ; Slim, Skander ; Bensaida, Ahmed.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:442:y:2016:i:c:p:203-213.

    Full description at Econpapers || Download paper

  4. Volatility and quantile forecasts by realized stochastic volatility models with generalized hyperbolic distribution. (2016). Takahashi, Makoto ; Omori, Yasuhiro ; Watanabe, Toshiaki .
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:32:y:2016:i:2:p:437-457.

    Full description at Econpapers || Download paper

  5. Modelling credit grade migration in large portfolios using cumulative t-link transition models. (2016). Nagao, Risa ; Forster, Jonathan J ; Sudjianto, Agus ; Buzzacchi, Matteo .
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:254:y:2016:i:3:p:977-984.

    Full description at Econpapers || Download paper

  6. Linking Tukey’s legacy to financial risk measurement. (2016). Vijverberg, Wim ; Taspinar, Suleyman ; Tapinar, Suleyman.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:100:y:2016:i:c:p:595-615.

    Full description at Econpapers || Download paper

  7. Asymmetry in tail dependence in equity portfolios. (2016). Jondeau, Eric.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:100:y:2016:i:c:p:351-368.

    Full description at Econpapers || Download paper

  8. Volatility and Quantile Forecasts by Realized Stochastic Volatility Models with Generalized Hyperbolic Distribution. (2015). Takahashi, Makoto ; Omori, Yasuhiro ; Watanabe, Toshiaki .
    In: CIRJE F-Series.
    RePEc:tky:fseres:2015cf975.

    Full description at Econpapers || Download paper

  9. A robust factor analysis model using the restricted skew- $$t$$ t distribution. (2015). Lee, Sharon ; McLachlan, Geoffrey ; Wu, Pal .
    In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
    RePEc:spr:testjl:v:24:y:2015:i:3:p:510-531.

    Full description at Econpapers || Download paper

  10. Variance-mean mixture of the multivariate skew normal distribution. (2015). Arslan, Olcay.
    In: Statistical Papers.
    RePEc:spr:stpapr:v:56:y:2015:i:2:p:353-378.

    Full description at Econpapers || Download paper

  11. Generalized Hyperbolic Distributions: Empirical Evidence on Bucharest Stock Exchange. (2015). Baciu, Olivia Andreea .
    In: The Review of Finance and Banking.
    RePEc:rfb:journl:v:07:y:2015:i:1:p:007-018.

    Full description at Econpapers || Download paper

  12. A Stochastic Volatility Model with GH Skew Student’s t-Distribution: Application to Latin-American Stock Returns. (2015). Rodríguez, Gabriel ; Lengua, Patricia ; Rodriguez, Gabriel ; Bayes, Cristian .
    In: Documentos de Trabajo / Working Papers.
    RePEc:pcp:pucwps:wp00405.

    Full description at Econpapers || Download paper

  13. Modeling financial sector joint tail risk in the euro area. (2015). Zhang, Xin ; Schwaab, Bernd ; Lucas, Andre.
    In: Working Paper Series.
    RePEc:hhs:rbnkwp:0308.

    Full description at Econpapers || Download paper

  14. Modeling multi-country mortality dependence and its application in pricing survivor index swaps—A dynamic copula approach. (2015). Wang, Chou-Wen ; Huang, Hong-Chih ; Yang, Sharon S.
    In: Insurance: Mathematics and Economics.
    RePEc:eee:insuma:v:63:y:2015:i:c:p:30-39.

    Full description at Econpapers || Download paper

  15. Location and scale mixtures of Gaussians with flexible tail behaviour: Properties, inference and application to multivariate clustering. (2015). Wraith, Darren ; Forbes, Florence .
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:90:y:2015:i:c:p:61-73.

    Full description at Econpapers || Download paper

  16. Alternative Formulation of the Leverage Effect in a Stochastic Volatility Model with Asymmetric Heavy-Tailed Errors. (2015). Deschamps, Philippe.
    In: CORE Discussion Papers.
    RePEc:cor:louvco:2015020.

    Full description at Econpapers || Download paper

  17. Impact of non-stationarity on estimating and modeling empirical copulas of daily stock returns. (2015). Wollschlager, Marcel ; Schafer, Rudi .
    In: Papers.
    RePEc:arx:papers:1506.08054.

    Full description at Econpapers || Download paper

  18. Regime Switching Stochastic Volatility with Skew, Fat Tails and Leverage using Returns and Realized Volatility Contemporaneously. (2014). Trojan, Sebastian .
    In: Economics Working Paper Series.
    RePEc:usg:econwp:2013:41.

    Full description at Econpapers || Download paper

  19. Volatility and Quantile Forecasts by Realized Stochastic Volatility Models with Generalized Hyperbolic Distribution. (2014). Takahashi, Makoto ; Omori, Yasuhiro ; Watanabe, Toshiaki .
    In: CIRJE F-Series.
    RePEc:tky:fseres:2014cf949.

    Full description at Econpapers || Download paper

  20. Volatility and Quantile Forecasts by Realized Stochastic Volatility Models with Generalized Hyperbolic Distribution. (2014). Takahashi, Makoto ; Omori, Yasuhiro ; Watanabe, Toshiaki ; Shoji, Masahiro.
    In: CIRJE F-Series.
    RePEc:tky:fseres:2014cf921.

    Full description at Econpapers || Download paper

  21. Measuring Credit Risk in a Large Banking System: Econometric Modeling and Empirics. (2014). Zhang, Xin ; Schwaab, Bernd ; Lucas, Andre.
    In: Tinbergen Institute Discussion Papers.
    RePEc:tin:wpaper:20130063.

    Full description at Econpapers || Download paper

  22. Non-Stationary Stochastic Volatility Model for Dynamic Feedback and Skewness. (2014). Mukhoti, Sujay.
    In: MPRA Paper.
    RePEc:pra:mprapa:62532.

    Full description at Econpapers || Download paper

  23. Bayesian modelling of skewness and kurtosis with two-piece scale and shape transformations. (2014). Steel, Mark ; Rubio, Francisco Javier ; Steel, Mark F. J., .
    In: MPRA Paper.
    RePEc:pra:mprapa:57102.

    Full description at Econpapers || Download paper

  24. Optimal Portfolio Selection Based on Expected Shortfall Under Generalized Hyperbolic Distribution. (2014). Kurniawan, Ryan ; Surya, Budhi.
    In: Asia-Pacific Financial Markets.
    RePEc:kap:apfinm:v:21:y:2014:i:3:p:193-236.

    Full description at Econpapers || Download paper

  25. A transdimensional approximate Bayesian computation using the pseudo-marginal approach for model choice. (2014). Kobayashi, Genya .
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:80:y:2014:i:c:p:167-183.

    Full description at Econpapers || Download paper

  26. Exponentially Smoothing the Skewed Laplace Distribution for Value‐at‐Risk Forecasting. (2013). Huang, Hai ; Lu, Zudi ; Gerlach, Richard.
    In: Journal of Forecasting.
    RePEc:wly:jforec:v:32:y:2013:i:6:p:534-550.

    Full description at Econpapers || Download paper

  27. Bayesian Markov Switching Stochastic Correlation Models. (2013). Sartore, Domenico ; Casarin, Roberto ; Tronzano, Marco.
    In: Working Papers.
    RePEc:ven:wpaper:2013:11.

    Full description at Econpapers || Download paper

  28. Conditional euro area sovereign default risk. (2013). Zhang, Xin ; Schwaab, Bernd ; Lucas, Andre.
    In: Working Paper Series.
    RePEc:hhs:rbnkwp:0269.

    Full description at Econpapers || Download paper

  29. Scaling, stability and distribution of the high-frequency returns of the Ibex35 index. (2013). Gomez-Ullate, David ; Suarez-Garcia, Pablo .
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:392:y:2013:i:6:p:1409-1417.

    Full description at Econpapers || Download paper

  30. On the characteristic function for asymmetric Student t distributions. (2013). Afuecheta, Emmanuel ; Chan, Stephen ; Nadarajah, Saralees.
    In: Economics Letters.
    RePEc:eee:ecolet:v:121:y:2013:i:2:p:271-274.

    Full description at Econpapers || Download paper

  31. Conditional and joint credit risk. (2013). Zhang, Xin ; Schwaab, Bernd ; Lucas, Andre.
    In: Working Paper Series.
    RePEc:ecb:ecbwps:20131621.

    Full description at Econpapers || Download paper

  32. Risk Aggregation by a Copula with a Stressed Condition. (2013). Yoshiba, Toshinao .
    In: Bank of Japan Working Paper Series.
    RePEc:boj:bojwps:13-e-12.

    Full description at Econpapers || Download paper

  33. Financial Density Selection. (2012). Sucarrat, Genaro ; Marin, Miguel J.
    In: MPRA Paper.
    RePEc:pra:mprapa:66839.

    Full description at Econpapers || Download paper

  34. Generalized beta-generated distributions. (2012). Sarabia, José María ; Alexander, Carol ; Ortega, Edwin M. M., ; Cordeiro, Gauss M..
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:56:y:2012:i:6:p:1880-1897.

    Full description at Econpapers || Download paper

  35. Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student’s t-distribution. (2012). Omori, Yasuhiro ; Nakajima, Jouchi.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:56:y:2012:i:11:p:3690-3704.

    Full description at Econpapers || Download paper

  36. Bayesian estimation of generalized hyperbolic skewed student GARCH models. (2012). Deschamps, Philippe.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:56:y:2012:i:11:p:3035-3054.

    Full description at Econpapers || Download paper

  37. Generalized Beta-Generated Distributions. (2011). Sarabia, José María ; Alexander, Carol ; Cordeiro, Gauss M. ; Edwin M. M. Ortega, .
    In: ICMA Centre Discussion Papers in Finance.
    RePEc:rdg:icmadp:icma-dp2011-05.

    Full description at Econpapers || Download paper

  38. Modeling and forecasting expected shortfall with the generalized asymmetric Student-t and asymmetric exponential power distributions. (2011). Galbraith, John ; Zhu, Dongming .
    In: Journal of Empirical Finance.
    RePEc:eee:empfin:v:18:y:2011:i:4:p:765-778.

    Full description at Econpapers || Download paper

  39. Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Students t-Distribution Models. (2010). Omori, Yasuhiro ; Nakajima, Jouchi.
    In: CIRJE F-Series.
    RePEc:tky:fseres:2010cf738.

    Full description at Econpapers || Download paper

  40. Forecasting financial volatility of the Athens stock exchange daily returns: an application of the asymmetric normal mixture GARCH model. (2010). Kouretas, Georgios ; Drakos, Anastassios A. ; Zarangas, Leonidas P..
    In: International Journal of Finance & Economics.
    RePEc:ijf:ijfiec:v:15:y:2010:i:4:p:331-350.

    Full description at Econpapers || Download paper

  41. Efficient risk simulations for linear asset portfolios in the t-copula model. (2010). Sak, Halis ; Hormann, Wolfgang ; Leydold, Josef .
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:202:y:2010:i:3:p:802-809.

    Full description at Econpapers || Download paper

  42. Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student?s t-Distribution. (2010). Omori, Yasuhiro ; Nakajima, Jouchi.
    In: CARF F-Series.
    RePEc:cfi:fseres:cf215.

    Full description at Econpapers || Download paper

  43. A GENERALIZED ASYMMETRIC STUDENT-T DISTRIBUTION WITH APPLICATION TO FINANCIAL ECONOMETRICS. (2009). Galbraith, John ; Zhu, Dongming .
    In: Departmental Working Papers.
    RePEc:mcl:mclwop:2009-02.

    Full description at Econpapers || Download paper

  44. FORECASTING EXPECTED SHORTFALL WITH A GENERALIZED ASYMMETRIC STUDENT-T DISTRIBUTION. (2009). Galbraith, John ; Zhu, Dongming .
    In: Departmental Working Papers.
    RePEc:mcl:mclwop:2009-01.

    Full description at Econpapers || Download paper

  45. Forecasting Expected Shortfall with a Generalized Asymmetric Student-t Distribution. (2009). Galbraith, John ; Zhu, Dongming .
    In: CIRANO Working Papers.
    RePEc:cir:cirwor:2009s-24.

    Full description at Econpapers || Download paper

  46. A Generalized Asymmetric Student-t Distribution with Application to Financial Econometrics. (2009). Galbraith, John ; Zhu, Dongming .
    In: CIRANO Working Papers.
    RePEc:cir:cirwor:2009s-13.

    Full description at Econpapers || Download paper

  47. Multivariate stochastic volatility. (2007). Omori, Yasuhiro ; Asai, Manabu ; Chib, Siddhartha .
    In: CIRJE F-Series.
    RePEc:tky:fseres:2007cf488.

    Full description at Econpapers || Download paper

  48. Asymmetric power distribution: Theory and applications to risk measurement. (2007). Komunjer, Ivana.
    In: Journal of Applied Econometrics.
    RePEc:jae:japmet:v:22:y:2007:i:5:p:891-921.

    Full description at Econpapers || Download paper

  49. Are Correlations Constant Over Time? Application of the CC-TRIGt-test to Return Series from Different Asset Classes.. (2007). Fischer, Matthias.
    In: SFB 649 Discussion Papers.
    RePEc:hum:wpaper:sfb649dp2007-012.

    Full description at Econpapers || Download paper

  50. Multivariate stochastic volatility (Revised in May 2007, Handbook of Financial Time Series (Published in Handbook of Financial Time Series (eds T.G. Andersen, R.A. Davis, Jens-Peter Kreiss and T. Miko. (2007). Omori, Yasuhiro ; Asai, Manabu ; Chib, Siddhartha .
    In: CARF F-Series.
    RePEc:cfi:fseres:cf094.

    Full description at Econpapers || Download paper

Coauthors

Authors registered in RePEc who have wrote about the same topic

Report date: 2024-11-28 05:06:49 || 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.