All Stories

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