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Volumn 18, Issue 4, 2008, Pages 391-408

Bayesian inference and model comparison for asymmetric smooth transition heteroskedastic models

Author keywords

Asymmetric volatility model; Markov chain Monte Carlo method; Mixture normal; Posterior model probability; Smooth transition; Value at Risk

Indexed keywords


EID: 57849096667     PISSN: 09603174     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11222-008-9063-1     Document Type: Article
Times cited : (35)

References (52)
  • 1
    • 57849131630 scopus 로고    scopus 로고
    • Nonlinear dynamics in output, real exchange rates and real money balances: Norway, 1830-2003
    • Akram, Q.F., Eitrheim, O., Sarno, L.: Nonlinear dynamics in output, real exchange rates and real money balances: Norway, 1830-2003. Norges Bank Working paper, 1502-8143 (2005)
    • (2005) Norges Bank Working Paper , pp. 1502-8143
    • Akram, Q.F.1    Eitrheim, O.2    Sarno, L.3
  • 3
    • 0000315153 scopus 로고
    • Estimating the transition between two interesting straight lines
    • D.W. Bacon D.G. Watts 1971 Estimating the transition between two interesting straight lines Biometrika 58 525 534
    • (1971) Biometrika , vol.58 , pp. 525-534
    • Bacon, D.W.1    Watts, D.G.2
  • 4
    • 0742271637 scopus 로고    scopus 로고
    • Deviance information criterion for comparing stochastic volatility models
    • A. Berg R. Meyer J. Yu 2004 Deviance information criterion for comparing stochastic volatility models J. Bus. Econ. Stat. 22 107 120
    • (2004) J. Bus. Econ. Stat. , vol.22 , pp. 107-120
    • Berg, A.1    Meyer, R.2    Yu, J.3
  • 6
    • 42449156579 scopus 로고
    • Generalized autoregressive conditional heteroscedasticity
    • T. Bollerslev 1986 Generalized autoregressive conditional heteroscedasticity J. Econom. 31 307 327
    • (1986) J. Econom. , vol.31 , pp. 307-327
    • Bollerslev, T.1
  • 7
    • 0035275684 scopus 로고    scopus 로고
    • A double-threshold GARCH model for the French Franc/Deutschmark exchange rate
    • C. Brooks 2001 A double-threshold GARCH model for the French Franc/Deutschmark exchange rate J. Forecast. 20 135 143
    • (2001) J. Forecast. , vol.20 , pp. 135-143
    • Brooks, C.1
  • 8
    • 0000506629 scopus 로고
    • Bayesian model choice via Markov chain Monte Carlo
    • B.P. Carlin S. Chib 1995 Bayesian model choice via Markov chain Monte Carlo J. R. Stat. Soc. Ser. B 57 473 484
    • (1995) J. R. Stat. Soc. Ser. B , vol.57 , pp. 473-484
    • Carlin, B.P.1    Chib, S.2
  • 9
    • 0000193853 scopus 로고
    • On Gibbs sampling for state space models
    • C. Carter R. Kohn 1994 On Gibbs sampling for state space models Biometrika 81 541 553
    • (1994) Biometrika , vol.81 , pp. 541-553
    • Carter, C.1    Kohn, R.2
  • 10
    • 84986792427 scopus 로고
    • On estimating thresholds in autoregressive models
    • K.S. Chan H. Tong 1986 On estimating thresholds in autoregressive models J. Time Ser. Anal. 7 179 190
    • (1986) J. Time Ser. Anal. , vol.7 , pp. 179-190
    • Chan, K.S.1    Tong, H.2
  • 11
    • 21044450981 scopus 로고    scopus 로고
    • Modelling equity market integration using smooth transition analysis: A study of Eastern European stock markets
    • P. Chelley-Steeley 2005 Modelling equity market integration using smooth transition analysis: a study of Eastern European stock markets J. Int. Money Finance 24 818 831
    • (2005) J. Int. Money Finance , vol.24 , pp. 818-831
    • Chelley-Steeley, P.1
  • 12
    • 0141792680 scopus 로고    scopus 로고
    • Asymmetrical reaction to US stock-return news: Evidence from major stock markets based on a double-threshold model
    • C.W.S. Chen T.C. Chiang M.K.P. So 2003 Asymmetrical reaction to US stock-return news: evidence from major stock markets based on a double-threshold model J. Econ. Bus. 55 487 502
    • (2003) J. Econ. Bus. , vol.55 , pp. 487-502
    • Chen, C.W.S.1    Chiang, T.C.2    So, M.K.P.3
  • 13
    • 33750990462 scopus 로고    scopus 로고
    • Comparison of non-nested asymmetric heteroskedastic models
    • C.W.S. Chen R. Gerlach M.K.P. So 2006 Comparison of non-nested asymmetric heteroskedastic models Comput. Stat. Data Anal. 51 2164 2178
    • (2006) Comput. Stat. Data Anal. , vol.51 , pp. 2164-2178
    • Chen, C.W.S.1    Gerlach, R.2    So, M.K.P.3
  • 14
    • 57349165916 scopus 로고    scopus 로고
    • Bayesian model selection for heteroskedastic models
    • Chib, S., Griffiths, B., Koop, G., Terrell, D. (eds.) Elsevier Science 2008 to appear
    • Chen, C.W.S., Gerlach, R., So, M.K.P.: Bayesian model selection for heteroskedastic models. In: Chib, S., Griffiths, B., Koop, G., Terrell, D. (eds.) Bayesian Econometric Methods. Advances in Econometrics. Elsevier Science (2008, to appear)
    • Bayesian Econometric Methods. Advances in Econometrics
    • Chen, C.W.S.1    Gerlach, R.2    So, M.K.P.3
  • 15
    • 30344463390 scopus 로고    scopus 로고
    • On a threshold heteroskedastic model
    • C.W.S. Chen M.K.P. So 2006 On a threshold heteroskedastic model Int. J. Forecast. 22 73 89
    • (2006) Int. J. Forecast. , vol.22 , pp. 73-89
    • Chen, C.W.S.1    So, M.K.P.2
  • 16
    • 21244480964 scopus 로고    scopus 로고
    • Assessing and testing for threshold nonlinearity in stock returns
    • C.W.S. Chen M.K.P. So R. Gerlach 2005 Assessing and testing for threshold nonlinearity in stock returns Aust. NZ J. Stat. 47 473 488
    • (2005) Aust. NZ J. Stat. , vol.47 , pp. 473-488
    • Chen, C.W.S.1    So, M.K.P.2    Gerlach, R.3
  • 17
    • 0041974049 scopus 로고
    • Marginal likelihood from the Gibbs output
    • S. Chib 1995 Marginal likelihood from the Gibbs output J. Am. Stat. Assoc. 90 1313 1321
    • (1995) J. Am. Stat. Assoc. , vol.90 , pp. 1313-1321
    • Chib, S.1
  • 18
    • 0042745956 scopus 로고    scopus 로고
    • Evaluating interval forecasts
    • P.F. Christoffersen 1998 Evaluating interval forecasts Int. Econ. Rev. 39 841 862
    • (1998) Int. Econ. Rev. , vol.39 , pp. 841-862
    • Christoffersen, P.F.1
  • 19
    • 24944555208 scopus 로고    scopus 로고
    • Bayesian model choice based on Monte Carlo estimates of posterior model probabilities
    • P. Congdon 2006 Bayesian model choice based on Monte Carlo estimates of posterior model probabilities Comput. Stat. Data Anal. 50 346 357
    • (2006) Comput. Stat. Data Anal. , vol.50 , pp. 346-357
    • Congdon, P.1
  • 20
    • 0000051984 scopus 로고
    • Autoregressive conditional heteroscedasticity with estimates of variance of United Kingdom inflation
    • R.F. Engle 1982 Autoregressive conditional heteroscedasticity with estimates of variance of United Kingdom inflation Econometrica 50 987 1008
    • (1982) Econometrica , vol.50 , pp. 987-1008
    • Engle, R.F.1
  • 22
    • 84867086419 scopus 로고    scopus 로고
    • Prior distributions for variance parameters in hierarchical models
    • A. Gelman 2006 Prior distributions for variance parameters in hierarchical models Bayesian Anal. 1 515 533
    • (2006) Bayesian Anal. , vol.1 , pp. 515-533
    • Gelman, A.1
  • 25
  • 26
    • 31744446464 scopus 로고    scopus 로고
    • MCMC methods for comparing stochastic volatility and GARCH models
    • R. Gerlach F. Tuyl 2006 MCMC methods for comparing stochastic volatility and GARCH models Int. J. Forecast. 22 91 107
    • (2006) Int. J. Forecast. , vol.22 , pp. 91-107
    • Gerlach, R.1    Tuyl, F.2
  • 28
    • 84986088295 scopus 로고
    • Bayesian treatment of the independent Student-t linear model
    • Suppl.
    • J. Geweke 1993 Bayesian treatment of the independent Student-t linear model J. Appl. Econom. 8 Suppl. 19 40
    • (1993) J. Appl. Econom. , vol.8 , pp. 19-40
    • Geweke, J.1
  • 29
    • 0003452470 scopus 로고
    • Bayesian comparison of econometric models
    • Research Department, Federal Reserve Bank of Minneapolis
    • Geweke, J.: Bayesian comparison of econometric models. Working Paper 532. Research Department, Federal Reserve Bank of Minneapolis (1995)
    • (1995) Working Paper , vol.532
    • Geweke, J.1
  • 30
    • 0035591051 scopus 로고    scopus 로고
    • On the relationship between Markov chain Monte Carlo methods for model uncertainty
    • S.J. Godsill 2001 On the relationship between Markov chain Monte Carlo methods for model uncertainty J. Comput. Graph. Stat. 10 1 19
    • (2001) J. Comput. Graph. Stat. , vol.10 , pp. 1-19
    • Godsill, S.J.1
  • 33
    • 77956889087 scopus 로고
    • Reversible jump MCMC computation and Bayesian model determination
    • P.J. Green 1995 Reversible jump MCMC computation and Bayesian model determination Biometrika 82-temp 711 732
    • (1995) Biometrika , vol.82 , pp. 711-732
    • Green, P.J.1
  • 36
    • 0001925391 scopus 로고
    • Techniques for verifying the accuracy of risk measurement models
    • P. Kupiec 1995 Techniques for verifying the accuracy of risk measurement models J. Deriv. 2 173 84
    • (1995) J. Deriv. , vol.2 , pp. 173-84
    • Kupiec, P.1
  • 37
    • 21344443427 scopus 로고    scopus 로고
    • On a double-threshold autoregressive heteroscedastic time series model
    • C.W. Li W.K. Li 1996 On a double-threshold autoregressive heteroscedastic time series model J. Appl. Econom. 11 253 274
    • (1996) J. Appl. Econom. , vol.11 , pp. 253-274
    • Li, C.W.1    Li, W.K.2
  • 38
    • 33645151774 scopus 로고    scopus 로고
    • Bayesian model uncertainty in smooth transition autoregressions
    • H.F. Lopes E. Salazar 2006 Bayesian model uncertainty in smooth transition autoregressions J. Time Ser. Anal. 27 99 117
    • (2006) J. Time Ser. Anal. , vol.27 , pp. 99-117
    • Lopes, H.F.1    Salazar, E.2
  • 39
    • 0009797774 scopus 로고    scopus 로고
    • Smooth transition GARCH models: A Bayesian perspective
    • M. Lubrano 2001 Smooth transition GARCH models: a Bayesian perspective Rech. Econ. Louvain 67 257 287
    • (2001) Rech. Econ. Louvain , vol.67 , pp. 257-287
    • Lubrano, M.1
  • 40
    • 0005882884 scopus 로고    scopus 로고
    • Modelling economic high-frequency time series with STAR-STGARCH models
    • Stockholm School of Economics
    • Lundbergh, S., Teräsvirta, T.: Modelling economic high-frequency time series with STAR-STGARCH models. Working Paper Series in Economics and Finance No. 291, Stockholm School of Economics (1999)
    • (1999) Working Paper Series in Economics and Finance No. 291 , vol.291
    • Lundbergh, S.1
  • 41
    • 0038812568 scopus 로고    scopus 로고
    • Asymmetric reverting behavior of short-horizon stock returns: An evidence of stock market overreaction
    • K. Nam C.S. Pyun S.L. Avard 2001 Asymmetric reverting behavior of short-horizon stock returns: an evidence of stock market overreaction J. Bank. Finance 25 807 824
    • (2001) J. Bank. Finance , vol.25 , pp. 807-824
    • Nam, K.1    Pyun, C.S.2    Avard, S.L.3
  • 42
    • 84986817195 scopus 로고
    • State-dependent models: A general approach to nonlinear time series analysis
    • M.B. Priestley 1980 State-dependent models: a general approach to nonlinear time series analysis J. Time Ser. Anal. 1 57 71
    • (1980) J. Time Ser. Anal. , vol.1 , pp. 57-71
    • Priestley, M.B.1
  • 43
    • 0036489069 scopus 로고    scopus 로고
    • Bayesian methods for hidden Markov models: Recursive computing in the 21st century
    • S. Scott 2002 Bayesian methods for hidden Markov models: recursive computing in the 21st century J. Am. Stat. Assoc. 97 337 351
    • (2002) J. Am. Stat. Assoc. , vol.97 , pp. 337-351
    • Scott, S.1
  • 45
    • 13244287897 scopus 로고    scopus 로고
    • A Bayesian threshold nonlinearity test in financial time series
    • M.K.P. So C.W.S. Chen M.T. Chen 2005 A Bayesian threshold nonlinearity test in financial time series J. Forecast. 24 61 75
    • (2005) J. Forecast. , vol.24 , pp. 61-75
    • So, M.K.P.1    Chen, C.W.S.2    Chen, M.T.3
  • 46
    • 84923053681 scopus 로고
    • Specification, estimation, and evaluation of smooth transition autoregressive models
    • T. Teräsvirta 1994 Specification, estimation, and evaluation of smooth transition autoregressive models J. Am. Stat. Assoc. 89 208 218
    • (1994) J. Am. Stat. Assoc. , vol.89 , pp. 208-218
    • Teräsvirta, T.1
  • 47
    • 0003355455 scopus 로고    scopus 로고
    • Modeling economic relationships with smooth transition regression
    • Dekker New York
    • Teräsvirta, T.: Modeling economic relationships with smooth transition regression. In: Ullah, A., Giles, D.E. (eds.) Handbook of Applied Economic Statistics, pp. 507-552. Dekker, New York (1998)
    • (1998) Handbook of Applied Economic Statistics , pp. 507-552
    • Teräsvirta, T.1    Ullah, A.2    Giles, D.E.3
  • 49
    • 0000003175 scopus 로고
    • Threshold autoregression, limit cycles and cyclical data (with discussion)
    • H. Tong K.S. Lim 1980 Threshold autoregression, limit cycles and cyclical data (with discussion) J. R. Stat. Soc. Ser. B 42 245 292
    • (1980) J. R. Stat. Soc. Ser. B , vol.42 , pp. 245-292
    • Tong, H.1    Lim, K.S.2
  • 50
    • 0033416447 scopus 로고    scopus 로고
    • Modelling multiple regimes in the business cycle
    • D. van Dijk P.H. Franses 1999 Modelling multiple regimes in the business cycle Macroecon. Dyn. 3 311 340
    • (1999) Macroecon. Dyn. , vol.3 , pp. 311-340
    • Van Dijk, D.1    Franses, P.H.2
  • 51
    • 85045980281 scopus 로고    scopus 로고
    • Smooth transition autoregressive models-a survey of recent developments
    • D. van Dijk T. Teräsvirta P.H. Franses 2002 Smooth transition autoregressive models-a survey of recent developments Econom. Rev. 21 1 47
    • (2002) Econom. Rev. , vol.21 , pp. 1-47
    • Van Dijk, D.1    Teräsvirta, T.2    Franses, P.H.3


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