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Yield and price are connected directly to each other. If you have one, you can compute the other. So it does not make any difference which one is used.
Comments appreciated on the above-mentioned paper, which concludes that the ex-ante risk premium is the expected dividend yield. The ex-post risk premium, on the other hand, involves the historical volatility of the market.
This is an example of the confounding of PRICE (risk premiums) with VALUE (margin of safety). The definition of "risk" in each of these two radically different methods is crucial.
The reference to THE risk premium, of course, reveals a monocausal Capital Asset PRICING Model (the conventional CAPM). A long-reigning fad in academic finance is the addition of two fallacious atheoretical risk factors: Size and Value, which allegedly have their own risk premia.
Market timing or technical analysis, sometimes openly based on charting techniques such as Moving Averages, is scientifically not valid. It is essentially curve-fitting, which derives two metrics: slope and intercept. In contrast, statistical hypothesis testing adds a third metric: variance. With inferential statistics, all of the moments of each independent variable and of the error term or residual are included for analysis and testing.