Lead–lag effect

A lead–lag effect describes a relationship where one (leading) variable is cross-correlated with the value of another (lagging) variable that follows the leading variable's change at a later time.[2]
In nature and climate, bigger systems often display more pronounced lag effects. The Arctic Sea Ice minimum is on September 17, three months after the peak in daylight (sunshine) hours in the northern hemisphere, according to NASA.[3]
For example, economists have found that in some circumstances there is a lead-lag effect between large-capitalization and small-capitalization stock-portfolio prices.[4]
(A loosely related concept is that of lead-lag compensators in control theory, but this is not generally referred to specifically as a "lead-lag effect.")[citation needed]
References
- ^ Shakun, Jeremy D.; Clark, Peter U.; He, Feng; Marcott, Shaun A.; Mix, Alan C.; Liu, Zhengyu; Otto-Bliesner, Bette; Schmittner, Andreas; Bard, Edouard (April 2012). "Global warming preceded by increasing carbon dioxide concentrations during the last deglaciation". Nature. 484 (7392): 49–54. doi:10.1038/nature10915. ISSN 1476-4687.
- ^ Calhoun, Craig, ed. (2002). "leads and lags". Dictionary of the Social Sciences. Oxford: Oxford University Press. doi:10.1093/acref/9780195123715.001.0001.
- ^ NASA, "2014 Arctic Sea Ice Minimum Sixth Lowest on Record," http://www.nasa.gov/press/2014/september/2014-arctic-sea-ice-minimum-sixth-lowest-on-record/
- ^ Andrew W. Lo and A. Craig MacKinlay, "When are contrarian profits due to stock market overreaction," Review of Financial Studies 3 (2), 175-205 (1990).
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