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Forecasting economic time series using targeted predictors
7 references·16 citing·41 second hop
Forecasting economic time series using targeted predictors (2008)Forecasting economic time series using ta…The empirical risk–return relation: A factor analysis approach☆ (2006)The empirical risk–return rel…The Generalized Dynamic Factor Model (2005)The Generalized Dynamic Facto…Forecasting Using Principal Components From a Large Number of Predictors (2002)Forecasting Using Principal C…Forecasting inflation (1999)Forecasting inflationTrends and random walks in macroeconomic time series (1988)Trends and random walks in ma…Trends and random walks in macroeconmic time series (1982)Trends and random walks in ma…A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the ‘business cycle’ (1981)A new approach to decompositi…Targeting predictors in random forest regression (2022)Targeting predictors in rando…Russia–Ukraine war and systemic risk: Who is taking the heat? (2022)Russia–Ukraine war and system…Factor Models, Machine Learning, and Asset Pricing (2022)Factor Models, Machine Learni…Bond Risk Premiums with Machine Learning (2020)Bond Risk Premiums with Machi…Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods (2019)Forecasting Inflation in a Da…Systemic risk and the macroeconomy: An empirical evaluation (2016)Systemic risk and the macroec…Nonlinear forecasting with many predictors using kernel ridge regression (2016)Nonlinear forecasting with ma…The three-pass regression filter: A new approach to forecasting using many predictors (2015)The three-pass regression fil…Short-Term GDP Forecasting With a Mixed-Frequency Dynamic Factor Model With Stochastic Volatility (2015)Short-Term GDP Forecasting Wi…Forecasting economic activity with targeted predictors (2014)Forecasting economic activity…Now-Casting and the Real-Time Data Flow (2013)Now-Casting and the Real-Time…Forecasting Stock Returns (2013)Forecasting Stock ReturnsForecasting Inflation (2013)Forecasting InflationA look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP (2010)A look into the factor model …International Stock Return Predictability: What is the Role of the United States? (2009)International Stock Return Pr…Forecasting using a large number of predictors: Is Bayesian shrinkage a valid alternative to principal components? (2008)Forecasting using a large num…Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Testing for a Unit Root in Time Series Regression (1988)The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis (1989)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)A Theory of the Consumption Function (1960)Optimal Properties of Exponentially Weighted Forecasts (1960)Time Series Analysis: Forecasting and Control (1977)A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems (1993)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Macroeconomic Forecasting Using Diffusion Indexes (2002)A PANIC Attack on Unit Roots and Cointegration (2004)Measuring Uncertainty (2015)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle (1989)Economic policy uncertainty and stock market volatility (2015)Short interest and aggregate stock returns (2016)Geopolitical risks and stock market dynamics of the BRICS (2018)Macroeconomics and Reality (1980)Illiquidity and stock returns: cross-section and time-series effects (2002)The Impact of Uncertainty Shocks (2009)Banks’ Non-Interest Income and Systemic Risk (2012)Time-Varying Systemic Risk: Evidence From a Dynamic Copula Model of CDS Spreads (2016)Economic policy uncertainty: A literature review (2019)Determining the Number of Factors in Approximate Factor Models (2002)Sparse and stable Markowitz portfolios (2009)Panel Vector Autoregressive Models: A Survey (2013)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)The Cross-Section of Expected Stock Returns (1992)Common risk factors in the returns on stocks and bonds (1993)Estimating the Intertemporal Risk–Return Tradeoff Using the Implied Cost of Capital (2008)Market Expectations in the Cross‐Section of Present Values (2013)Interpreting the macroeconomic time series facts (1992)Efficient Tests for an Autoregressive Unit Root (1996)Postwar U.S. Business Cycles: An Empirical Investigation (1997)Inferential Theory for Factor Models of Large Dimensions (2003)Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy (2009)Testing for a unit root in panels with dynamic factors (2004)Determining the Number of Factors in the General Dynamic Factor Model (2007)
this work references cited by second hop

References

  • 1982Trends and random walks in macroeconmic time series4,670 cited
  • 2002Forecasting Using Principal Components From a Large Number of Predictors2,990 cited
  • 1988Trends and random walks in macroeconomic time series2,433 cited
  • 1981A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the ‘business cycle’2,308 cited
  • 1999Forecasting inflation1,273 cited
  • 2005The Generalized Dynamic Factor Model824 cited
  • 2006The empirical risk–return relation: A factor analysis approach☆666 cited

Cited by

  • 2013Forecasting Stock Returns634 cited
  • 2016Systemic risk and the macroeconomy: An empirical evaluation559 cited
  • 2008Forecasting using a large number of predictors: Is Bayesian shrinkage a valid alternative to principal components?521 cited
  • 2013Now-Casting and the Real-Time Data Flow452 cited
  • 2013Forecasting Inflation449 cited
  • 2015The three-pass regression filter: A new approach to forecasting using many predictors417 cited
  • 2020Bond Risk Premiums with Machine Learning416 cited
  • 2019Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods

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385 cited
  • 2010A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP258 cited
  • 2015Short-Term GDP Forecasting With a Mixed-Frequency Dynamic Factor Model With Stochastic Volatility243 cited
  • 2014Forecasting economic activity with targeted predictors205 cited
  • 2022Factor Models, Machine Learning, and Asset Pricing187 cited
  • 2022Targeting predictors in random forest regression186 cited
  • 2022Russia–Ukraine war and systemic risk: Who is taking the heat?165 cited
  • 2009International Stock Return Predictability: What is the Role of the United States?165 cited
  • 2016Nonlinear forecasting with many predictors using kernel ridge regression144 cited