Noise

By J. Proudfoot, O. Nosjean, Jan Blanchard, John Wang, Dominique Besson, D. Crankshaw, G. Gauglitz, Robert Hertzberg, C. Homon, L. Llewellyn and 3 more. 1931

not the slightest doubt that the prehistoric child had his head slapped for rattling mammoth's bones when his father was trying to sleep, but they have been confined almost entirely to complaints against noise during the recognized sleeping hours. Complaints against noise during the day time have only come from the sick, and when an apparently healthy man in the street raised his voice (as he would have to do in order to be heard!) he was classed

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Citations in the corpus

Textual Sentiment in Finance: A Survey of Methods and Models (2014, neutral): “Even if a high proportion of these messages contain noise or irrational sentiment, Black (1986) argues that the narratives around a large number of small events could generate more potent causal sentiment factors than the narratives around a smaller number of large events if the former have greater…”
Using Expectations to Test Asset Pricing Models (2005, methodology): “This test is not subject to the data mining problem described in Black (1986).5”
Bricolage, Exemplars, Disunity and Performativity in Financial Economics (2003, background): “…who defended the efficient market hypothesis, and that of ‘behavioural’ finance theorist Robert Shiller: ‘Deviations from efficiency seem more significant in my world than in Merton’s, but much less significant in my world than in Shiller’s’ (Black, 1986: 533; see Merton, 1987 and Shiller, 1989).”
Behavioral Economics: Past, Present and Future (2016, methodology): “Black ( 1986, p. 553 says “we might define an efficient market as one in which price is within a factor of two of value, i.e., the price is more than half of value and less than twice value.”
Error-backpropagation in temporally encoded networks of spiking neurons (2000, background): “This is problematic to achieve, as it has been noted that a reliable estimation of the instantaneous 7ring rate on a time scale of 10 ms requires on the order of 100 pooled neurons [31,42].”
Structural Incoherence and Stock Market Activity (2004, background): “…by arguing that there is more volatility (e.g., LeRoy and Porter 1981; LeRoy 1989; Shiller [1981] 1993, [1984] 1993; 1989; 1990) and trade (e.g., Black 1986; Frankel and Froot 1990; Harris and Raviv 1993; Kandel and Pearson 1995; Stout 1996; Varian 1989; Odean 1999) than would be expected if…”
The drift burst hypothesis (2016, unknown): “In practice, we cannot measure the true, efficient log-price from transaction or quotation data, as it is disrupted by multiple layers of “noise” or “friction” (e.g., Black, 1986; Stoll, 2000).”
18S rDNA phylogeny of Clitellata (Annelida) (2004, background): “…of a gene and are often thought to introduce noise, which could interfere with the phylogenetic signal of the less variable 192 Zoologica Scripta, 33, 2, March 2004, pp187–196 • © The Norwegian Academy of Science and Letters (easy-to-align) regions (however, see Farris 1969; Wenzel & Siddall 1999).”
Lottery Players/Stock Traders (2002, background): “Black (1986) and Treynor offered two solutions to the trading puzzle.”
Efficient market hypothesis and forecasting (2004, background): “Bossaert and Hillion (1999) investigate predictability of monthly stock returns in a variety of international stock markets and find that the apparent in-sample predictability breaks down out-ofsample some time around 1990.”
Investor sentiment and stock return volatility: Evidence from the Johannesburg Stock Exchange (2019, background): “There are groups of authors that argue that sentiment-driven investors are irrelevant (Black, 1986) while some argue that they have a positive impact (Tetlock, 2007) and others have identified their negative impact on markets (Da, Larrain, Sialm, & Tessada, 2015; De Long et al., 1990).”
Realized Variance and Market Microstructure Noise (2006, background): “Market microstructure noise has many sources, including the discreteness of the data, see Harris (1990, 1991), and properties of the trading mechanism, see e.g. Black (1976) and Amihud & Mendelson (1987).”
Efficient Markets Hypothesis (2007, unknown): “Black (1986) gave us a provocative answer: ‘noise traders’, individuals who trade on what they consider to be information but which is, in fact, merely noise.”
The Role of Feelings in Investor Decision-Making (2005, unknown): “Thus, it is not possible to conclude that social feelings induced by All Black team performance influenced New Zealand equity returns.”