Ten Years of Consumer Attitude Surveys: Their Forecasting Record
十年消费者态度调查的预测表现AI 解读 ↓
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AI 根据所提供的论文材料归类:摘要明确利用时间序列回归评估消费者态度调查对总量消费支出的预测信息。
十年消费者态度调查的预测表现AI 解读 ↓
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Since 1951 the Survey Research Center has conducted surveys of consumer optimism and confidence two to four times a year in an attempt to improve methods of forecasting discretionary spending by consumers. The predictive success of these attitude surveys is tested here in conjunction with a number of financial variables by means of time series regressions covering the years 1952–61. The results indicate that attitude measurements contain information not obtainable from a simple combination of financial and business cycle indicators. The explanatory value of the Survey Research Center Index of Consumer Attitudes is consistently good in the sense that a number of alternative formulations of the time series regressions lead to the same conclusion: Attitudes contribute significantly to our ability to account for fluctuations in durable goods spending, particularly spending on new cars, after allowance is made for changes in the financial situation of consumers.
循环重心编码器:预测、模拟及其在时间序列分析中的应用
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利用路径签名回归进行即时预测
We introduce a new method of nowcasting using regression on path signatures. Path signatures capture the geometric properties of sequential data. Because signatures embed observations in continuous time, they naturally handle mixed frequencies and missing data. We prove theoretically, and demonstrate with simulations, that regression on signatures both subsumes the linear Kalman filter and has desirable consistency properties. Nowcasting with signatures is more robust to…