CBOE Vix's market value is the price at which a share of CBOE Vix trades on a public exchange. It measures the collective expectations of CBOE Vix Volatility investors about its performance. CBOE Vix is enlisted at 88.36 as of the 28th of November 2024; that is 0.74% up since the beginning of the trading day. The index's open price was 87.71. With this module, you can estimate the performance of a buy and hold strategy of CBOE Vix Volatility and determine expected loss or profit from investing in CBOE Vix over a given investment horizon. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
CBOE
CBOE Vix 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to CBOE Vix's index what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of CBOE Vix.
0.00
10/29/2024
No Change 0.00
0.0
In 31 days
11/28/2024
0.00
If you would invest 0.00 in CBOE Vix on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding CBOE Vix Volatility or generate 0.0% return on investment in CBOE Vix over 30 days.
CBOE Vix Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure CBOE Vix's index current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess CBOE Vix Volatility upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for CBOE Vix's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CBOE Vix's standard deviation. In reality, there are many statistical measures that can use CBOE Vix historical prices to predict the future CBOE Vix's volatility.
CBOE Vix Volatility secures Sharpe Ratio (or Efficiency) of 0.0193, which signifies that the index had a 0.0193% return per unit of risk over the last 3 months. We have found twenty-six technical indicators for CBOE Vix Volatility, which you can use to evaluate the volatility of the entity. The entity shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and CBOE Vix are completely uncorrelated.
Auto-correlation
0.54
Modest predictability
CBOE Vix Volatility has modest predictability. Overlapping area represents the amount of predictability between CBOE Vix time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of CBOE Vix Volatility price movement. The serial correlation of 0.54 indicates that about 54.0% of current CBOE Vix price fluctuation can be explain by its past prices.
Correlation Coefficient
0.54
Spearman Rank Test
0.27
Residual Average
0.0
Price Variance
25.36
CBOE Vix Volatility lagged returns against current returns
Autocorrelation, which is CBOE Vix index's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting CBOE Vix's index expected returns. We can calculate the autocorrelation of CBOE Vix returns to help us make a trade decision. For example, suppose you find that CBOE Vix has exhibited high autocorrelation historically, and you observe that the index is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values
Timeline
CBOE Vix regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If CBOE Vix index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CBOE Vix index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CBOE Vix index over time.
Current vs Lagged Prices
Timeline
CBOE Vix Lagged Returns
When evaluating CBOE Vix's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CBOE Vix index have on its future price. CBOE Vix autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, CBOE Vix autocorrelation shows the relationship between CBOE Vix index current value and its past values and can show if there is a momentum factor associated with investing in CBOE Vix Volatility.
Regressed Prices
Timeline
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