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CBOE Volatility Index (VIX) from December 1985 to May 2012 (daily closings) In finance, volatility (usually denoted by "σ") is the degree of variation of a trading price series over time, usually measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices.
CBOE also calculates the Nasdaq-100 Volatility Index (VXNSM), CBOE DJIA Volatility Index (VXDSM) and the CBOE Russell 2000 Volatility Index (RVXSM). [6] There is even a VIX on VIX (VVIX) which is a volatility of volatility measure in that it represents the expected volatility of the 30-day forward price of the CBOE Volatility Index (the VIX). [10]
The VIX is an index run by the Chicago Board Options Exchange, now known as Cboe, that measures the stock market’s expectation for volatility over the next 30 days based on option prices for the ...
Implied volatility, a forward-looking and subjective measure, differs from historical volatility because the latter is calculated from known past returns of a security. To understand where implied volatility stands in terms of the underlying, implied volatility rank is used to understand its implied volatility from a one-year high and low IV.
If you use the VIX Index to gauge sentiment, value, or short-term market direction, or if you are hedging or speculating with VIX-based exchange-traded notes, or ETNs, you'll want to read what ...
(But the VIX itself is an index and does not actually trade, much like the S&P 500.) Investors might assume that a low VIX means markets are stable and not in need of hedging. But a low VIX is an ...
IVX is the abbreviation of Implied Volatility Index and is a popular measure of the implied volatility [1] of each individual stock. [2] IVX represents the cost level of the options for a particular security and comparing to its historical levels one can see whether IVX is high or low and thus whether options are more expensive or cheaper.
The Chicago Board Options Exchange's Volatility Index, also known as the VIX, has been trending lower lately, which has some analysts predicting a stock market correction between late January and ...