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Optimal Prediction Under Asymmetric Loss
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Optimal Prediction Under Asymmetric Loss (1997)Optimal Prediction Under Asymmetric LossComparing Predictive Accuracy (1995)Comparing Predictive AccuracyComparing Predictive Accuracy (1994)Comparing Predictive AccuracyAutoregressive Conditional Density Estimation (1994)Autoregressive Conditional De…Forecasting Economic Time Series (1986)Forecasting Economic Time Ser…Forecasting Economic Time Series (1979)Forecasting Economic Time Ser…Quantiles as optimal point forecasts (2010)Quantiles as optimal point fo…Detecting and Predicting Forecast Breakdowns (2009)Detecting and Predicting Fore…Economic Forecasting (2008)Economic ForecastingBiases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss? (2008)Biases in Macroeconomic Forec…Testing Forecast Optimality Under Unknown Loss (2007)Testing Forecast Optimality U…Properties of optimal forecasts under asymmetric loss and nonlinearity (2006)Properties of optimal forecas…Financial Asset Returns, Direction-of-Change Forecasting, and Volatility Dynamics (2006)Financial Asset Returns, Dire…Chapter 14 Survey Expectations (2006)Chapter 14 Survey ExpectationsAn empirical investigation of the usefulness of ARFIMA models for predicting macroeconomic and financial time series (2005)An empirical investigation of…Optimal forecast combinations under general loss functions and forecast error distributions (2004)Optimal forecast combinations…Forecasting economic and financial time-series with non-linear models (2004)Forecasting economic and fina…Inflation Targeting under Asymmetric Preferences (2003)Inflation Targeting under Asy…Anticipations of Monetary Policy in Financial Markets (2003)Anticipations of Monetary Pol…Forecasting volatility in the New Zealand stock market (2002)Forecasting volatility in the…Density forecasting: a survey (2000)Density forecasting: a surveyEVALUATING DENSITY FORECASTS (1997)EVALUATING DENSITY FORECASTSA New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle (1989)Hybridization of evolutionary Levenberg–Marquardt neural networks and data pre-processing for stock market prediction (2012)Climate sentiments, transition risk, and financial stability in a stock-flow consistent model (2021)Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM (2022)The Behavior of Stock-Market Prices (1965)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Combining density forecasts (2007)Forecasting and operational research: a review (2008)Quantile regression for dynamic panel data with fixed effects (2011)Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model (1987)Modeling and pricing long memory in stock market volatility (1996)The econometrics of financial markets (1996)GENERALIZED AUTOREGRESSIVE SCORE MODELS WITH APPLICATIONS (2012)The equity premium: A puzzle (1985)Herd Behavior and Investment (1988)The Role of Monetary Policy (1995)The Determinants of Stock and Bond Return Comovements (2009)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)A comprehensive review of Value at Risk methodologies (2013)Factor Momentum and the Momentum Factor (2022)Macroeconomics and Reality (1980)Trends and random walks in macroeconmic time series (1982)Elusive return predictability (2008)Review of Economic Studies (2010)The Value of Crowdsourced Earnings Forecasts (2016)Individual time series and composite forecasting of the Chinese stock index (2021)Generalized autoregressive conditional heteroskedasticity (1986)A long memory property of stock market returns and a new model (1993)Introductory Econometrics for Finance (2008)Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts (1998)A Comprehensive Look at The Empirical Performance of Equity Premium Prediction (2007)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Forecasting the behavior of multivariate time series using neural networks (1992)The Effectiveness of Antiterrorism Policies: A Vector-Autoregression-Intervention Analysis (1993)Economic and statistical measures of forecast accuracy (2000)Testing the equality of prediction mean squared errors (1997)Consumption, Aggregate Wealth, and Expected Stock Returns (2001)Deep learning with long short-term memory networks for financial market predictions (2017)
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References

  • 1994Comparing Predictive Accuracy5,495 cited
  • 1995Comparing Predictive Accuracy5,214 cited
  • 1994Autoregressive Conditional Density Estimation1,580 cited
  • 1979Forecasting Economic Time Series1,004 cited
  • 1986Forecasting Economic Time Series714 cited

Cited by

  • 2000Density forecasting: a survey318 cited
  • 2004Forecasting economic and financial time-series with non-linear models295 cited
  • 2008Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss?272 cited
  • 2008Economic Forecasting254 cited
  • 2006Financial Asset Returns, Direction-of-Change Forecasting, and Volatility Dynamics239 cited
  • 2002Forecasting volatility in the New Zealand stock market219 cited
  • 2010Quantiles as optimal point forecasts217 cited
  • 2006Chapter 14 Survey Expectations203 cited
  • 2004Optimal forecast combinations under general loss functions and forecast error distributions185 cited
  • 2009Detecting and Predicting Forecast Breakdowns181 cited
  • 2006Properties of optimal forecasts under asymmetric loss and nonlinearity

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180 cited
  • 2005An empirical investigation of the usefulness of ARFIMA models for predicting macroeconomic and financial time series175 cited
  • 1997EVALUATING DENSITY FORECASTS171 cited
  • 2007Testing Forecast Optimality Under Unknown Loss169 cited
  • 2003Inflation Targeting under Asymmetric Preferences162 cited
  • 2003Anticipations of Monetary Policy in Financial Markets157 cited