SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Understanding Exponential Smoothing Via Kernel Regression
4 references·7 citing·37 second hop
Understanding Exponential Smoothing Via Kernel Regression (1999)Understanding Exponential Smoothing Via K…Forecasting and Time Series: An Applied Approach (1994)Forecasting and Time Series: …Forecasting and Time Series: An Applied Approach (1994)Forecasting and Time Series: …Forecasting, Structural Time Series Models and the Kalman Filter (1990)Forecasting, Structural Time …Exponential smoothing: The state of the art (1985)Exponential smoothing: The st…A classification framework and computational methods for human interaction analysis using movement data (2022)A classification framework an…Model-Free vs. Model-Based Volatility Prediction (2015)Model-Free vs. Model-Based Vo…Disentangling systematic and idiosyncratic dynamics in panels of volatility measures (2014)Disentangling systematic and …Nonparametric Filtering of the Realised Spot Volatility: A Kernel-Based Approach (2008)Nonparametric Filtering of th…Dynamic Integration of Time- and State-Domain Methods for Volatility Estimation (2007)Dynamic Integration of Time- …Is Garch(1,1) as Good a Model as the Accolades of the Nobel Prize Would Imply? (2004)Is Garch(1,1) as Good a Model…Dynamic nonparametric filtering with application to volatility estimation (2003)Dynamic nonparametric filteri…Time Series Analysis Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)Forecasting models and prediction intervals for the multiplicative Holt–Winters method (2001)Spatial Autocorrelation Approaches to Testing Residuals from Least Squares Regression (2016)An analytical process of spatial autocorrelation functions based on Moran’s index (2021)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)Real-Time GARCH* (2017)A Theory of the Term Structure of Interest Rates (1985)Continuous Martingales and Brownian Motion (1999)Brownian Motion and Stochastic Calculus (2007)An Improved Two-Step Regularization Scheme for Spot Volatility Estimation (2008)Estimating the Jump Activity Index Under Noisy Observations Using High-Frequency Data (2011)A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options (1993)Modeling and Forecasting Realized Volatility (2003)Volatility in Discrete and Continuous-Time Models: A Survey with New Evidence on Large and Small Jumps (2011)Forecasting Sales by Exponentially Weighted Moving Averages (1960)Time Series Analysis: Forecasting and Control (1977)Forecasting Economic Time Series (2000)A state space framework for automatic forecasting using exponential smoothing methods (2002)Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Value At Risk: The New Benchmark for Managing Financial Risk (2000)On estimating the expected return on the market (1980)Expected stock returns and volatility (1987)Bootstrapping Autoregression under Non-stationary Volatility (2008)Determining the Number of Factors in Approximate Factor Models (2002)A Simple Approximate Long-Memory Model of Realized Volatility (2008)Firm Volatility in Granular Networks (2012)Firm Volatility in Granular Networks (2013)Realized volatility forecasting: Robustness to measurement errors (2020)Forecasting construction tender price index in Hong Kong using vector error correction model (2010)Forecasting method selection using ANOVA and Duncan multiple range tests on time series dataset (2010)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)
this work references cited by second hop

References

  • 1990Forecasting, Structural Time Series Models and the Kalman Filter4,101 cited
  • 1985Exponential smoothing: The state of the art1,461 cited
  • 1994Forecasting and Time Series: An Applied Approach322 cited
  • 1994Forecasting and Time Series: An Applied Approach101 cited

Cited by

  • 2014Disentangling systematic and idiosyncratic dynamics in panels of volatility measures49 cited
  • 2004Is Garch(1,1) as Good a Model as the Accolades of the Nobel Prize Would Imply?37 cited
  • 2007Dynamic Integration of Time- and State-Domain Methods for Volatility Estimation34 cited
  • 2015Model-Free vs. Model-Based Volatility Prediction26 cited
  • 2008Nonparametric Filtering of the Realised Spot Volatility: A Kernel-Based Approach26 cited
  • 2003Dynamic nonparametric filtering with application to volatility estimation22 cited
  • 2022A classification framework and computational methods for human interaction analysis using movement data8 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work