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Modelling multiple time series via common factors
6 references·6 citing·38 second hop
Modelling multiple time series via common factors (2008)Modelling multiple time series via common…Diagnostic Checking in ARMA Models With Uncorrelated Errors (2005)Diagnostic Checking in ARMA M…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…Estimating continuous-time stochastic volatility models of the short-term interest rate (1997)Estimating continuous-time st…Maximum Likelihood "Confirmatory" Factor Analysis of Economic Time Series (1981)Maximum Likelihood "Confirmat…Multi-view metro station clustering based on passenger flows: a functional data-edged network community detection approach (2023)Multi-view metro station clus…Factor extraction using Kalman filter and smoothing: This is not just another survey (2021)Factor extraction using Kalma…Estimating Non-stationary Common Factors: Implications for Risk Sharing (2018)Estimating Non-stationary Com…Consistently determining the number of factors in multivariate volatility modelling (2014)Consistently determining the …Dynamic Factor Models: A Review of the Literature (2013)Dynamic Factor Models: A Revi…Large Volatility Matrix Inference via Combining Low-Frequency and High-Frequency Approaches (2011)Large Volatility Matrix Infer…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)Business Cycle Modeling Without Pretending to Have Too Much A Priori Economic Theory (1977)Panels with Nonstationary Multifactor Error Structures (2006)Exploring the international linkages of the euro area: a global VAR analysis (2007)U.S. Monetary Policy and the Global Financial Cycle (2020)Econometric Analysis of Realized Volatility and its Use in Estimating Stochastic Volatility Models (2002)Modeling and Forecasting Realized Volatility (2003)A Simple Approximate Long-Memory Model of Realized Volatility (2008)Asymptotic theory for large volatility matrix estimation based on high-frequency financial data (2016)Knowing Factors or Factor Loadings, or Neither? Evaluating Estimators of Large Covariance Matrices with Noisy and Asynchronous Data (2017)High-dimensional minimum variance portfolio estimation based on high-frequency data (2019)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Efficient estimation of conditional variance functions in stochastic regression (1998)Quadratic Term Structure Models: Theory and Evidence (2002)The Statistical and Economic Role of Jumps in Continuous‐Time Interest Rate Models (2004)Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation (1991)Testing the Martingale Hypothesis (2009)Forecasting exchange rate volatility using high-frequency data: Is the euro different? (2011)NONCAUSAL VECTOR AUTOREGRESSION (2012)Macroeconomic Forecasting Using Diffusion Indexes (2002)Measuring Uncertainty (2015)A General Approach to Confirmatory Maximum Likelihood Factor Analysis (1969)An Equilibrium Model of the Business Cycle (1975)Are disaggregate data useful for factor analysis in forecasting French GDP? (2009)Sectoral price data and models of price setting (2009)A two-step estimator for large approximate dynamic factor models based on Kalman filtering (2011)Dynamic Conditional Correlation - a Simple Class of Multivariate GARCH Models (2000)Inferential Theory for Factor Models of Large Dimensions (2003)Forecasting, Structural Time Series Models and the Kalman Filter (1990)Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models (1991)The trilemma among CO2 emissions, energy use, and economic growth in Russia (2023)The Scree Test For The Number Of Factors (1966)Dynamic factor models: Does the specification matter? (2021)
this work references cited by second hop

References

  • 2002Determining the Number of Factors in Approximate Factor Models4,110 cited
  • 2002Forecasting Using Principal Components From a Large Number of Predictors2,990 cited
  • 2000The Generalized Dynamic-Factor Model: Identification and Estimation1,709 cited
  • 1997Estimating continuous-time stochastic volatility models of the short-term interest rate500 cited
  • 2005Diagnostic Checking in ARMA Models With Uncorrelated Errors164 cited
  • 1981Maximum Likelihood "Confirmatory" Factor Analysis of Economic Time Series162 cited

Cited by

  • 2011Large Volatility Matrix Inference via Combining Low-Frequency and High-Frequency Approaches96 cited
  • 2014Consistently determining the number of factors in multivariate volatility modelling50 cited
  • 2021Factor extraction using Kalman filter and smoothing: This is not just another survey29 cited
  • 2018Estimating Non-stationary Common Factors: Implications for Risk Sharing28 cited
  • 2013Dynamic Factor Models: A Review of the Literature27 cited
  • 2023Multi-view metro station clustering based on passenger flows: a functional data-edged network community detection approach16 cited

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