Applied Economics · 2005 · 13 citations · 9 references
BusinessEconomicsFinanceFinancial EconomicsForecastingTime Series AnalysisEconomic ForecastingFinancial ForecastingFinancial Time Series AnalysisForecast EvaluationTime Series EconometricsTime Series ForecastingEconomic Market IndicatorsForecast Comparison TestsIndustrial ProductionInflation ForecastingOut-of-sample Forecast EvaluationProduction ForecastsPseudo Out-of-sample ForecastingReturns Forecasting
This study develops a new financial market indicator, which may be a useful addition to analysing real activity in the US. By taking the ratio of the price return of equity industry groups of the S&P 500 over a benchmark industry group, in this case taken to be the Utilities industry group, an indicator is created which represents the price return performance specific to each individual industry. We then perform recursive pseudo out-of-sample bivariate forecasts of future changes in the Industrial Production Index (IPI) and the Consumer Price Index (CPI) at 3-month, 6-month and 12-month horizons using each of the indicators and compare results against an AR forecast. The results of the bivariate forecasts using a number of the indicators produce better forecasts of changes in the IPI and are also significant for causality, both for the full sample period and when tested recursively. Bivariate forecasts of changes to the CPI, however, do not improve upon the AR forecasts.
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Combination forecasts of output growth in a seven‐country data set
James H. Stock, Mark W. Watson · Journal of Forecasting · 2004 · 1.2K citations
Business, Economics, Econometrics +14
James H. Stock, Mark W. Watson · The Journal of Economic Perspectives · 2001 · 1.1K citations · Full text