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Financial correlations measure the relationship between the changes of two or more financial variables over time. For example, the prices of equity stocks and fixed interest bonds often move in opposite directions: when investors sell stocks, they often use the proceeds to buy bonds and vice versa. In this case, stock and bond prices are ...
Robert Shiller's plot of the S&P 500 price–earnings ratio (P/E) versus long-term Treasury yields (1871–2012), from Irrational Exuberance. [1]The P/E ratio is the inverse of the E/P ratio, and from 1921 to 1928 and 1987 to 2000, supports the Fed model (i.e. P/E ratio moves inversely to the treasury yield), however, for all other periods, the relationship of the Fed model fails; [2] [3] even ...
The two main capital structure theories as taught in corporate finance textbooks are the Pecking order theory and the Trade-off theory.The two theories make some contradicting predictions and for example Fama and French conclude: [3] "In sum, we identify one scar on the tradeoff model (the negative relation between leverage and profitability), one deep wound on the pecking order (the large ...
Both stocks and bonds are selling off right now, a shift from their past relationship. Until the past few weeks, stocks continued to climb to records as bond prices fell. Recently the S&P 500 ...
Specifically, stocks with steeper implied volatility smiles (i.e., higher jump risk) have higher expected returns, consistent with the equity premium puzzle. The author argues that this relationship between the slope of the implied volatility smile and stock returns can be explained by investors' preference for jump risk.
Supercharged returns and the promise of AI have drawn investors—and meme-stock speculators—to equity markets in recent years. But it’s been a very different story for the bond market.
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The cross correlation is between stock and stock and their time series data is free of time delays. Step 4: In case of the minimum spanning tree method a metric distance d i j {\displaystyle dij} is calculated using the cross correlation matrix.