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Macroeconomic Forecasting With Mixed-Frequency Data
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Macroeconomic Forecasting With Mixed-Frequency Data (2008)Macroeconomic Forecasting With Mixed-Freq…Handbook of Economic Forecasting (2013)Handbook of Economic Forecast…International Journal of Central Banking (2012)International Journal of Cent…MIDAS Regressions: Further Results and New Directions (2007)MIDAS Regressions: Further Re…The Reliability of Inflation Forecasts Based on Output Gap Estimates in Real Time (2005)The Reliability of Inflation …Predicting volatility: getting the most out of return data sampled at different frequencies (2005)Predicting volatility: gettin…The MIDAS Touch: Mixed Data Sampling Regression Models (2004)The MIDAS Touch: Mixed Data S…Monetary Policy Rules Based on Real-Time Data (2001)Monetary Policy Rules Based o…A real-time data set for macroeconomists (2001)A real-time data set for macr…Serial Correlation as a Convenient Simplification, not a Nuisance: A Comment on a Study of the Demand for Money by the Bank of England (2000)Serial Correlation as a Conve…Exchange rates and monetary fundamentals: what do we learn from long-horizon regressions? (1999)Exchange rates and monetary f…Asymptotic Inference about Predictive Ability (1996)Asymptotic Inference about Pr…8 Forecast evaluation and combination (1996)8 Forecast evaluation and com…Serial Correlation as a Convenient Simplification, Not a Nuisance: A Comment on a Study of the Demand for Money by the Bank of England (1978)Serial Correlation as a Conve…Geopolitical risk and stock market volatility in emerging markets: A GARCH – MIDAS approach (2022)Geopolitical risk and stock m…Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS (2018)Usefulness of economic and en…Short-Term GDP Forecasting With a Mixed-Frequency Dynamic Factor Model With Stochastic Volatility (2015)Short-Term GDP Forecasting Wi…Do high-frequency financial data help forecast oil prices? The MIDAS touch at work (2015)Do high-frequency financial d…Unrestricted Mixed Data Sampling (MIDAS): MIDAS Regressions with Unrestricted Lag Polynomials (2013)Unrestricted Mixed Data Sampl…State Space Models and MIDAS Regressions (2013)State Space Models and MIDAS …Should Macroeconomic Forecasters Use Daily Financial Data and How? (2013)Should Macroeconomic Forecast…Nowcasting GDP in Real Time: A Density Combination Approach (2013)Nowcasting GDP in Real Time: …A comparison of mixed frequency approaches for nowcasting Euro area macroeconomic aggregates (2013)A comparison of mixed frequen…Real‐Time Forecasts of Inflation: The Role of Financial Variables (2012)Real‐Time Forecasts of Inflat…POOLING VERSUS MODEL SELECTION FOR NOWCASTING GDP WITH MANY PREDICTORS: EMPIRICAL EVIDENCE FOR SIX INDUSTRIALIZED COUNTRIES (2012)POOLING VERSUS MODEL SELECTIO…Real Time Forecasts of Inflation: The Role of Financial Variables (2010)Real Time Forecasts of Inflat…MIDAS vs. mixed-frequency VAR: Nowcasting GDP in the euro area (2010)MIDAS vs. mixed-frequency VAR…Forecasting with Mixed Frequencies (2010)Forecasting with Mixed Freque…Factor MIDAS for Nowcasting and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP* (2010)Factor MIDAS for Nowcasting a…Forecasting US output growth using leading indicators: an appraisal using MIDAS models (2009)Forecasting US output growth …Time Series Analysis: Forecasting and Control (1977)Macroeconomics and Reality (1980)Statistical analysis of cointegration vectors (1988)Chapter 4 Forecast Combinations (2006)Carbon Tail Risk (2018)Empirical Asset Pricing via Machine Learning (2020)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)New Eurocoin: Tracking Economic Growth in Real Time (2010)Now-Casting and the Real-Time Data Flow (2013)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Comparing Predictive Accuracy (1994)Predicting currency crises: (1999)Comparing Density Forecasts via Weighted Likelihood Ratio Tests (2007)Forecasting with panel data (2008)Do Measures of Monetary Policy in a VAR Make Sense (1998)Inflation Forecast Uncertainty (2003)Real-Time Density Forecasts From Bayesian Vector Autoregressions With Stochastic Volatility (2010)Communicating uncertainty about facts, numbers and science (2019)Range‐Based Estimation of Stochastic Volatility Models (2002)Modeling and Forecasting Realized Volatility (2003)Econometric Analysis of Realized Covariation: High Frequency Based Covariance, Regression, and Correlation in Financial Economics (2004)Why Do Absolute Returns Predict Volatility So Well? (2006)Parametric and Nonparametric Volatility Measurement (2010)Time Series Analysis, Forecasting, and Control (1995)Nuisance vs. Substance: Specifying and Estimating Time-Series-Cross-Section Models (1996)Dynamic Models for Dynamic Theories: The Ins and Outs of Lagged Dependent Variables (2005)Introductory Econometrics for Finance (2008)Discretion versus policy rules in practice (1993)Inflation forecast targeting: Implementing and monitoring inflation targets (1997)Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach (2005)Central Bank Communication and Monetary Policy: A Survey of Theory and Evidence (2008)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Threshold bipower variation and the impact of jumps on volatility forecasting (2010)Good Volatility, Bad Volatility: Signed Jumps and The Persistence of Volatility (2015)Evaluating Density Forecasts with Applications to Financial Risk Management (1998)A forecast comparison of volatility models: does anything beat a GARCH(1,1)? 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References

  • 1996Asymptotic Inference about Predictive Ability1,415 cited
  • 2001Monetary Policy Rules Based on Real-Time Data1,357 cited
  • 2012International Journal of Central Banking1,258 cited
  • 2013Handbook of Economic Forecasting1,216 cited
  • 2007MIDAS Regressions: Further Results and New Directions1,003 cited
  • 2005Predicting volatility: getting the most out of return data sampled at different frequencies813 cited
  • 2001A real-time data set for macroeconomists787 cited
  • 1978Serial Correlation as a Convenient Simplification, Not a Nuisance: A Comment on a Study of the Demand for Money by the Bank of England612 cited
  • 2004The MIDAS Touch: Mixed Data Sampling Regression Models563 cited
  • 19968 Forecast evaluation and combination536 cited
  • 2000Serial Correlation as a Convenient Simplification, not a Nuisance: A Comment on a Study of the Demand for Money by the Bank of England430 cited
  • 1999Exchange rates and monetary fundamentals: what do we learn from long-horizon regressions?429 cited
  • 2005The Reliability of Inflation Forecasts Based on Output Gap Estimates in Real Time266 cited

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  • 2013Should Macroeconomic Forecasters Use Daily Financial Data and How?331 cited

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2010
MIDAS vs. mixed-frequency VAR: Nowcasting GDP in the euro area
312 cited
  • 2010Factor MIDAS for Nowcasting and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP*298 cited
  • 2013Unrestricted Mixed Data Sampling (MIDAS): MIDAS Regressions with Unrestricted Lag Polynomials275 cited
  • 2015Short-Term GDP Forecasting With a Mixed-Frequency Dynamic Factor Model With Stochastic Volatility243 cited
  • 2009Forecasting US output growth using leading indicators: an appraisal using MIDAS models236 cited
  • 2012Real‐Time Forecasts of Inflation: The Role of Financial Variables222 cited
  • 2018Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS198 cited
  • 2010Real Time Forecasts of Inflation: The Role of Financial Variables190 cited
  • 2013State Space Models and MIDAS Regressions163 cited
  • 2022Geopolitical risk and stock market volatility in emerging markets: A GARCH – MIDAS approach159 cited
  • 2015Do high-frequency financial data help forecast oil prices? The MIDAS touch at work132 cited
  • 2010Forecasting with Mixed Frequencies130 cited
  • 2013Nowcasting GDP in Real Time: A Density Combination Approach129 cited
  • 2013A comparison of mixed frequency approaches for nowcasting Euro area macroeconomic aggregates127 cited
  • 2012POOLING VERSUS MODEL SELECTION FOR NOWCASTING GDP WITH MANY PREDICTORS: EMPIRICAL EVIDENCE FOR SIX INDUSTRIALIZED COUNTRIES121 cited