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3. Nov. 2020 · Beginning in 1984, Professor Shiller began collecting questionnaire survey data on the behavior of US investors, making it the longest-running effort to measure investor confidence and related investor attitudes. Under the direction of Shiller, the Investor Behavior Project at Yale University is now under the auspices of the Yale International Center for Finance. Survey data is updated monthly ...
This data begins in 1913. Prior to this year, Shiller computes the CPI using a different method. In his words: "for years before 1913 1 spliced to the CPI Warren and Pearson's price index, by multiplying it by the ratio of the indexes in January 1913" Considerations # There are a few things to keep in mind when using Robert Shiller's data.
Robert J Shiller: Mastering Data. 23 Nov, 2015. Font size - 16 +. One of the elite Sterling professors at Yale University, he predicted both the dot-com bubble and the collapse of the housing market. Two years ago, he was the joint recipient of a Nobel Prize. There are few people more on top of their game in the world of economics than Robert J ...
This data set consists of monthly stock price, dividends, and earnings data and the consumer price index (to allow conversion to real values), all starting January 1871. The price, dividend, and earnings series are from the same sources as described in Chapter 26 of my earlier book ( Market Volatility [Cambridge, MA: MIT Press, 1989]), although now I use monthly data, rather than annual data.
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The Shiller PE ratio was developed by Robert "Bob" Shiller and popularized during the Dotcom Bubble in the late 90s when he argued that equities were highly overvalued. The Shiller PE is a variant of the more popular price to earning ratio and is calculated by dividing the current price of a stock by its average inflation adjusted earning over the last 10 years.
The following table goes into more detail about the individual data points provided for each month. The month. 1 is January, 12 is December. Another numeric representation of the date for this month of data. This value represents the completion of the year as a percent.
