All Stories

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