Sentence examples for deviations in prices from inspiring English sources
Many Wall Street firms, for example, now rely on "millisecond trading" computers, which detect deviations in prices and order trades far faster than humans ever could; but these are now regarded as a possible culprit in the seemingly irrational hourlong stock-market plunge of the spring.
Deviations in prices are monitored closely and used as basis for changing positions, taking advantage of market inefficiencies to obtain some profits.
There we see that notable differences in prices appear when using different interpolating functions (keep in mind, that the notional amount of the swap equals one, thus the deviations in prices are not negligible).
We measure price dispersion as the (log of) deviations in price from the daily mean (Lach 2002); that is, (g_{ijlt}=log p_{ijlt}-log bar{ p}_{ilt}).
Any price deviations can and are swiftly traded away by professional teams of statistical arbitrageurs, trained to detect upon minute deviations in the price discrepancies of ETFs and the underlying individual stocks.
The table shows very small deviation in appraisal prices between our sample and the population of appraisals that compiles the DPW.
Statistically, the standard deviation in commodity prices over a one-year period was 16.17% during the floating-currency era from 1971-2012, and 8.59% during the gold era from 1750 to 1970.
In the late 1980s the S&P's volatility (the annualized standard deviation of the daily percentage change in prices, tracked over the trailing 12 months) lurched into 40% territory as a result of the flukish crash on Oct. 19, 1987.
We now live in a two to three standard deviation world (meaning very sharp volatile moves in prices) and investor portfolios need to be positioned to withstand perfect storms and outlier events, says the July commentary by Jurika, Mills & Keifer Investment Advisors.
For a stock, you can read the SEC disclosures for a prose version of the risks, or look at past volatility (sigma, - standard deviation in nerdese) of prices for the most common quantitative measure of risk.
In essence, the fund placed bets that tiny deviations in the traditional relationships between the prices of various securities would eventually return to normal.
