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Optimal forecasting of noncausal autoregressive time series
5 references·7 citing·41 second hop
Optimal forecasting of noncausal autoregressive time series (2012)Optimal forecasting of noncausal autoregr…Phillips Curve Inflation Forecasts (2008)Phillips Curve Inflation Fore…Chapter 5 Predictive Density Evaluation (2006)Chapter 5 Predictive Density …A Monte Carlo study of the forecasting performance of empirical SETAR models (1999)A Monte Carlo study of the fo…Evaluating Density Forecasts with Applications to Financial Risk Management (1998)Evaluating Density Forecasts …Asymptotic Inference about Predictive Ability (1996)Asymptotic Inference about Pr…Mixed causal–noncausal autoregressions with exogenous regressors (2020)Mixed causal–noncausal autore…Forecasting bubbles with mixed causal-noncausal autoregressive models (2020)Forecasting bubbles with mixe…A New Time‐Varying Parameter Autoregressive Model for U.S. Inflation Expectations (2017)A New Time‐Varying Parameter …Noncausal Bayesian Vector Autoregression (2016)Noncausal Bayesian Vector Aut…Identification of Mixed Causal-Noncausal Models in Finite Samples (2016)Identification of Mixed Causa…Testing for a Unit Root in Noncausal Autoregressive Models (2015)Testing for a Unit Root in No…Forecasting with a noncausal VAR model (2013)Forecasting with a noncausal …Comparing Predictive Accuracy (1994)Econometric Analysis of Cross Section and Panel Data (2001)Chapter 8 Forecasting economic variables with nonlinear models (2006)Combining inflation density forecasts (2010)Quantile Aggregation of Density Forecasts (2017)Econometric Analysis of Panel Data (2021)The Combination of Forecasts (1969)Forecasting Using Principal Components From a Large Number of Predictors (2002)Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach (2005)Dynamic Factor Models (2012)Generalized Shrinkage Methods for Forecasting Using Many Predictors (2012)How is machine learning useful for macroeconomic forecasting? (2022)Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Linear versus neural network forecasts for European industrial production series (2003)Business and consumer expectations and macroeconomic forecasts (2006)Forecasting UK Industrial Production with Multivariate Singular Spectrum Analysis (2012)Comparing Predictive Accuracy (1995)Inflation dynamics: A structural econometric analysis (1999)ARCH modeling in finance (1992)Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances (1992)Modeling and Forecasting Realized Volatility (2001)Testing Density Forecasts, With Applications to Risk Management (2001)The Copula-GARCH model of conditional dependencies: An international stock market application (2006)Power and Bipower Variation with Stochastic Volatility and Jumps (2004)A Simple Approximate Long-Memory Model of Realized Volatility (2008)EXPLOSIVE BEHAVIOR IN THE 1990s NASDAQ: WHEN DID EXUBERANCE ESCALATE ASSET VALUES?* (2009)Mixed Causal–Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing1 (2020)Explosive Rational Bubbles in Stock Prices (1988)On Adjusting the Hodrick-Prescott Filter for the Frequency of Observations (2002)Non-Fundamentalness in Structural Econometric Models: A Review (2011)Noncausal Autoregressive Model in Application to Bitcoin/USD Exchange Rates (2014)Local Explosion Modelling by Non-Causal Process (2016)Time Series Regression with a Unit Root (1987)Statistical Inference in Regressions with Integrated Processes: Part 1 (1988)Testing for a Unit Root in Time Series Regression (1988)Explosive Bubble Modelling by Noncausal Process (2013)Forecasting Output and Inflation: The Role of Asset Prices (2003)A forecast comparison of volatility models: does anything beat a GARCH(1,1)? (2005)Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy (2009)
this work references cited by second hop

References

  • 1998Evaluating Density Forecasts with Applications to Financial Risk Management1,452 cited
  • 1996Asymptotic Inference about Predictive Ability1,415 cited
  • 2008Phillips Curve Inflation Forecasts326 cited
  • 2006Chapter 5 Predictive Density Evaluation149 cited
  • 1999A Monte Carlo study of the forecasting performance of empirical SETAR models137 cited

Cited by

  • 2016Identification of Mixed Causal-Noncausal Models in Finite Samples32 cited
  • 2013Forecasting with a noncausal VAR model29 cited
  • 2020Forecasting bubbles with mixed causal-noncausal autoregressive models28 cited
  • 2020Mixed causal–noncausal autoregressions with exogenous regressors21 cited
  • 2015Testing for a Unit Root in Noncausal Autoregressive Models19 cited
  • 2016Noncausal Bayesian Vector Autoregression10 cited
  • 2017A New Time‐Varying Parameter Autoregressive Model for U.S. Inflation Expectations9 cited

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