CBOE Crude's market value is the price at which a share of CBOE Crude trades on a public exchange. It measures the collective expectations of CBOE Crude Oil investors about its performance. CBOE Crude is listed at 30.35 as of the 27th of December 2024, which is a 0.63 percent up since the beginning of the trading day. The index's lowest day price was 29.73. With this module, you can estimate the performance of a buy and hold strategy of CBOE Crude Oil and determine expected loss or profit from investing in CBOE Crude over a given investment horizon. Check out Your Equity Center 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 gross domestic product.
Symbol
CBOE
CBOE Crude '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 Crude'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 Crude.
0.00
12/03/2023
No Change 0.00
0.0
In 1 year and 26 days
12/27/2024
0.00
If you would invest 0.00 in CBOE Crude on December 3, 2023 and sell it all today you would earn a total of 0.00 from holding CBOE Crude Oil or generate 0.0% return on investment in CBOE Crude over 390 days.
CBOE Crude 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 Crude'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 Crude Oil 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 Crude's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CBOE Crude's standard deviation. In reality, there are many statistical measures that can use CBOE Crude historical prices to predict the future CBOE Crude's volatility.
CBOE Crude Oil secures Sharpe Ratio (or Efficiency) of -0.027, which signifies that the index had a -0.027% return per unit of risk over the last 3 months. CBOE Crude Oil exposes twenty-six different technical indicators, which can help you to evaluate volatility embedded in its price movement. 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 Crude are completely uncorrelated.
Auto-correlation
-0.48
Modest reverse predictability
CBOE Crude Oil has modest reverse predictability. Overlapping area represents the amount of predictability between CBOE Crude time series from 3rd of December 2023 to 15th of June 2024 and 15th of June 2024 to 27th of December 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 Crude Oil price movement. The serial correlation of -0.48 indicates that about 48.0% of current CBOE Crude price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.48
Spearman Rank Test
-0.39
Residual Average
0.0
Price Variance
60.36
CBOE Crude Oil lagged returns against current returns
Autocorrelation, which is CBOE Crude 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 Crude's index expected returns. We can calculate the autocorrelation of CBOE Crude returns to help us make a trade decision. For example, suppose you find that CBOE Crude 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 Crude 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 Crude index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CBOE Crude index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CBOE Crude index over time.
Current vs Lagged Prices
Timeline
CBOE Crude Lagged Returns
When evaluating CBOE Crude's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CBOE Crude index have on its future price. CBOE Crude 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 Crude autocorrelation shows the relationship between CBOE Crude index current value and its past values and can show if there is a momentum factor associated with investing in CBOE Crude Oil.
Regressed Prices
Timeline
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.