All Stories

  1. Stability in Self-exciting Threshold Autoregressive Models
  2. The Effect of the North Atlantic Oscillation on Monthly Precipitation in Selected European Locations: A Non‐Linear Time Series Approach
  3. Consistency and asymptotic normality of maximum likelihood estimators of a multiplicative time-varying smooth transition correlation GARCH model
  4. Long monthly temperature series and the Vector Seasonal Shifting Mean and Covariance Autoregressive model
  5. Long monthly European temperature series and the North Atlantic Oscillation
  6. Building Multivariate Time-Varying Smooth Transition Correlation GARCH Models, with an Application to the Four Largest Australian Banks
  7. A Parsimonious Test of Constancy of a Positive Definite Correlation Matrix in a Multivariate Time-Varying GARCH Model
  8. Comprehensively testing linearity hypothesis using the smooth transition autoregressive model
  9. Transition from the Taylor rule to the zero lower bound
  10. Comparing long monthly Chinese and selected European temperature series using the Vector Seasonal Shifting Mean and Covariance Autoregressive model
  11. Global hemispheric temperatures and co-shifting: A vector shifting-mean autoregressive analysis
  12. The shifting seasonal mean autoregressive model and seasonality in the Central England monthly temperature series, 1772–2016
  13. Nonlinear Models in Macroeconometrics
  14. A Lagrange multiplier test for testing the adequacy of constant conditional correlation GARCH model
  15. Terms-of-trade shocks and macroeconomic volatility in developing countries: panel smooth transition regression models
  16. testing volatility models
  17. Forecasting Macroeconomic Variables Using Neural Network Models and Three Automated Model Selection Techniques
  18. A Smooth Transition Logit Model of The Effects of Deregulation in the Electricity Market
  19. GARCH models with time-varying parameters
  20. Changes in Conditional Correlations of Asset Returns
  21. Forecasting performances of three automated modelling techniques during the economic crisis 2007–2009
  22. Conditional Correlation Models of Autoregressive Conditional Heteroscedasticity With Nonstationary GARCH Equations
  23. Modelling changes in the unconditional variance of long stock return series
  24. Thresholds and Smooth Transitions in Vector Autoregressive Models
  25. Modelling volatility by variance decomposition
  26. Testing the Granger Noncausality Hypothesis in Stationary Nonlinear Models of Unknown Functional Form
  27. Forecasting With Nonlinear Time Series Models
  28. Nonlinear Models for Autoregressive Conditional Heteroskedasticity
  29. Modelling Nonlinear Economic Time Series
  30. Stylized facts of return series, robust estimates and three popular models of volatility
  31. Sir Clive William John Granger, 1934–2009
  32. Garch Models
  33. Working With Clive Granger: Two Short Memories
  34. Modeling Multivariate Autoregressive Conditional Heteroskedasticity with the Double Smooth Transition Conditional Correlation GARCH Model
  35. Testing for volatility interactions in the Constant Conditional Correlation GARCH model
  36. Multivariate GARCH Models
  37. An Introduction to Univariate GARCH Models
  38. Testing Parameter Constancy in Stationary Vector Autoregressive Models Against Continuous Change
  39. Positivity constraints on the conditional variances in the family of conditional correlation GARCH models
  40. Modelling Autoregressive Processes with a Shifting Mean
  41. Parameterizing Unconditional Skewness in Models for Financial Time Series
  42. Testing constancy of the error covariance matrix in vector models
  43. Simulation-based Finite Sample Linearity Test against Smooth Transition Models*
  44. A sequential procedure for determining the number of regimes in a threshold autoregressive model
  45. Common factors in conditional distributions for bivariate time series
  46. A time series model for an exchange rate in a target zone with applications
  47. Chapter 8 Forecasting economic variables with nonlinear models
  48. Evaluating Models of Autoregressive Conditional Duration
  49. Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination
  50. Reply
  51. Building neural network models for time series: a statistical approach
  52. AN EXTENDED CONSTANT CONDITIONAL CORRELATION GARCH MODEL AND ITS FOURTH-MOMENT STRUCTURE
  53. Smooth Transition Regression Modeling
  54. The net barter terms of trade: A smooth transition approach
  55. Time-Varying Smooth Transition Autoregressive Models
  56. Evaluating GARCH models
  57. Long memory and nonlinear time series
  58. MOMENT STRUCTURE OF A FAMILY OF FIRST-ORDER EXPONENTIAL GARCH MODELS
  59. MODELING ASYMMETRIES AND MOVING EQUILIBRIA IN UNEMPLOYMENT RATES
  60. SMOOTH TRANSITION AUTOREGRESSIVE MODELS — A SURVEY OF RECENT DEVELOPMENTS
  61. Non-linear error correction and the UK demand for broad money, 1878-1993
  62. A nonlinear time series model of El Niño
  63. Properties of moments of a family of GARCH processes
  64. Testing parameter constancy in linear models against stochastic stationary parameters
  65. Short-term forecasting of industrial production with business survey data: experience from Finland's great depression 1990–1993
  66. Testing the adequacy of smooth transition autoregressive models
  67. Power Properties of Linearity Tests for Time Series
  68. Modelling nonlinearity in U.S. Gross national product 1889?1987
  69. Testing the constancy of regression parameters against continuous structural change
  70. The combination of forecasts using changing weights
  71. Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models
  72. Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models
  73. Chapter 48 Aspects of modelling nonlinear time series
  74. Use of preliminary values in forecasting industrial production
  75. Testing Linearity Against Smooth Transition Autoregressive Models
  76. Superiority comparisons between mixed regression estimators
  77. Testing linearity against smooth transition autoregressive models
  78. Usefulness of proxy variables in linear models with stochastic regressors
  79. The extended Stein procedure for simultaneous model selection and parameter estimation
  80. Superiority comparisons of heterogeneous linear estimators
  81. MINK AND MUSKRAT INTERACTION:A STRUCTURAL ANALYSIS
  82. Underestimation of mean square error matrix in misspecified linear models
  83. A comparison of mixed and minimax estimators of linear models
  84. The polynomial distributed lag revisited
  85. Forecasting the consumption of alcoholic beverages in Finland
  86. Forecasting with Smooth Transition Autoregressive Models