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Forecasting with Mixed-Frequency Data
16 references·13 citing·30 second hop
Forecasting with Mixed-Frequency Data (2012)Forecasting with Mixed-Frequency DataNowcasting: The real-time informational content of macroeconomic data (2008)Nowcasting: The real-time inf…A Simple Approximate Long-Memory Model of Realized Volatility (2008)A Simple Approximate Long-Mem…Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility (2007)Roughing It Up: Including Jum…Power and Bipower Variation with Stochastic Volatility and Jumps (2004)Power and Bipower Variation w…Inferential Theory for Factor Models of Large Dimensions (2003)Inferential Theory for Factor…Range‐Based Estimation of Stochastic Volatility Models (2002)Range‐Based Estimation of Sto…Forecasting Using Principal Components From a Large Number of Predictors (2002)Forecasting Using Principal C…Determining the Number of Factors in Approximate Factor Models (2002)Determining the Number of Fac…The Generalized Dynamic-Factor Model: Identification and Estimation (2000)The Generalized Dynamic-Facto…Systematic Monetary Policy and the Effects of Oil Price Shocks (1997)Systematic Monetary Policy an…On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)On the Relation between the E…A long memory property of stock market returns and a new model (1993)A long memory property of sto…Forecasting, Structural Time Series Models and the Kalman Filter (1990)Forecasting, Structural Time …New Indexes of Coincident and Leading Economic Indicators (1989)New Indexes of Coincident and…Generalized autoregressive conditional heteroskedasticity (1986)Generalized autoregressive co…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Autoregressive Conditional He…Forecasting value at risk and expected shortfall with mixed data sampling (2020)Forecasting value at risk and…Estimating MIDAS regressions via OLS with polynomial parameter profiling (2018)Estimating MIDAS regressions …Sluggish private investment in Japan’s Lost Decade: Mixed frequency vector autoregression approach (2017)Sluggish private investment i…Automated Earnings Forecasts: Beat Analysts or Combine and Conquer? (2017)Automated Earnings Forecasts:…Forecasting in Economics and Finance (2016)Forecasting in Economics and …A comparison of MIDAS and bridge equations (2016)A comparison of MIDAS and bri…Testing for Cointegration with Temporally Aggregated and Mixed‐Frequency Time Series (2015)Testing for Cointegration wit…Real-time forecasting of the US federal government budget: A simple mixed frequency data regression approach (2015)Real-time forecasting of the …Forecasting Inflation Rates Using Daily Data: A Nonparametric MIDAS Approach (2015)Forecasting Inflation Rates U…Combining Time Variation and Mixed Frequencies: an Analysis of Government Spending Multipliers in Italy (2015)Combining Time Variation and …Central Bank Macroeconomic Forecasting During the Global Financial Crisis: The European Central Bank and Federal Reserve Bank of New York Experiences (2014)Central Bank Macroeconomic Fo…Mixed-Frequency Vector Autoregressive Models (2013)Mixed-Frequency Vector Autore…Conditional Skewness of Stock Market Returns in Developed and Emerging Markets and its Economic Fundamentals (2011)Conditional Skewness of Stock…Tests for Unit Roots: A Monte Carlo Investigation (1989)Forecasting inflation (1999)A PANIC Attack on Unit Roots and Cointegration (2004)Panel Data Models With Interactive Fixed Effects (2009)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Multivariate Simultaneous Generalized ARCH (1995)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Introductory Econometrics for Finance (2008)Option pricing when underlying stock returns are discontinuous (1976)A Theory of the Term Structure of Interest Rates (1985)A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options (1993)Econometrics of Testing for Jumps in Financial Economics Using Bipower Variation (2005)Realized Variance and Market Microstructure Noise (2006)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)ARCH modeling in finance (1992)The Cross‐Section of Volatility and Expected Returns (2006)Macroeconomic Forecasting Using Diffusion Indexes (2002)Measuring Uncertainty (2015)Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts (1998)Modeling and Forecasting Realized Volatility (2003)Tails, Fears, and Risk Premia (2011)Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks (2022)Econometric Analysis of Cross Section and Panel Data (2001)The Conditional CAPM and the Cross-Section of Expected Returns (1996)The Twin Crises: The Causes of Banking and Balance-of-Payments Problems (1999)Measuring the Output Responses to Fiscal Policy (2012)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Handbook on Constructing Composite Indicators (2005)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)
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References

  • 1986Generalized autoregressive conditional heteroskedasticity22,329 cited
  • 1982Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation20,684 cited
  • 1993On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks9,041 cited
  • 2002Determining the Number of Factors in Approximate Factor Models4,110 cited
  • 1990Forecasting, Structural Time Series Models and the Kalman Filter4,101 cited
  • 1993A long memory property of stock market returns and a new model3,257 cited
  • 2002Forecasting Using Principal Components From a Large Number of Predictors2,990 cited
  • 2008A Simple Approximate Long-Memory Model of Realized Volatility2,526 cited
  • 2004Power and Bipower Variation with Stochastic Volatility and Jumps2,033 cited
  • 1989New Indexes of Coincident and Leading Economic Indicators1,795 cited
  • 2000The Generalized Dynamic-Factor Model: Identification and Estimation1,709 cited
  • 2003Inferential Theory for Factor Models of Large Dimensions1,688 cited
  • 1997Systematic Monetary Policy and the Effects of Oil Price Shocks1,594 cited
  • 2007Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility1,448 cited

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2002
Range‐Based Estimation of Stochastic Volatility Models
1,215 cited
  • 2008Nowcasting: The real-time informational content of macroeconomic data1,153 cited
  • Cited by

    • 2016Forecasting in Economics and Finance69 cited
    • 2018Estimating MIDAS regressions via OLS with polynomial parameter profiling67 cited
    • 2014Central Bank Macroeconomic Forecasting During the Global Financial Crisis: The European Central Bank and Federal Reserve Bank of New York Experiences64 cited
    • 2015Forecasting Inflation Rates Using Daily Data: A Nonparametric MIDAS Approach63 cited
    • 2017Automated Earnings Forecasts: Beat Analysts or Combine and Conquer?54 cited
    • 2016A comparison of MIDAS and bridge equations48 cited
    • 2013Mixed-Frequency Vector Autoregressive Models48 cited
    • 2015Real-time forecasting of the US federal government budget: A simple mixed frequency data regression approach46 cited
    • 2011Conditional Skewness of Stock Market Returns in Developed and Emerging Markets and its Economic Fundamentals45 cited
    • 2020Forecasting value at risk and expected shortfall with mixed data sampling42 cited
    • 2015Testing for Cointegration with Temporally Aggregated and Mixed‐Frequency Time Series35 cited
    • 2017Sluggish private investment in Japan’s Lost Decade: Mixed frequency vector autoregression approach32 cited
    • 2015Combining Time Variation and Mixed Frequencies: an Analysis of Government Spending Multipliers in Italy27 cited