BlueStar Travel's market value is the price at which a share of BlueStar Travel trades on a public exchange. It measures the collective expectations of BlueStar Travel And investors about its performance. BlueStar Travel is listed for 191.02 as of the 12th of December 2024. This is a 0.08 percent increase since the beginning of the trading day. The index's open price was 190.87. With this module, you can estimate the performance of a buy and hold strategy of BlueStar Travel And and determine expected loss or profit from investing in BlueStar Travel over a given investment horizon. Check out Trending Equities 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 metropolitan statistical area.
Symbol
BlueStar
BlueStar Travel '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 BlueStar Travel'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 BlueStar Travel.
0.00
11/12/2024
No Change 0.00
0.0
In 31 days
12/12/2024
0.00
If you would invest 0.00 in BlueStar Travel on November 12, 2024 and sell it all today you would earn a total of 0.00 from holding BlueStar Travel And or generate 0.0% return on investment in BlueStar Travel over 30 days.
BlueStar Travel 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 BlueStar Travel'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 BlueStar Travel And 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 BlueStar Travel's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BlueStar Travel's standard deviation. In reality, there are many statistical measures that can use BlueStar Travel historical prices to predict the future BlueStar Travel's volatility.
BlueStar Travel And secures Sharpe Ratio (or Efficiency) of 0.37, which signifies that the index had a 0.37% return per unit of risk over the last 3 months. We have found twenty-five technical indicators for BlueStar Travel And, which you can use to evaluate the volatility of the entity. The index shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and BlueStar Travel are completely uncorrelated.
Auto-correlation
0.22
Weak predictability
BlueStar Travel And has weak predictability. Overlapping area represents the amount of predictability between BlueStar Travel time series from 12th of November 2024 to 27th of November 2024 and 27th of November 2024 to 12th 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 BlueStar Travel And price movement. The serial correlation of 0.22 indicates that over 22.0% of current BlueStar Travel price fluctuation can be explain by its past prices.
Correlation Coefficient
0.22
Spearman Rank Test
-0.01
Residual Average
0.0
Price Variance
2.43
BlueStar Travel And lagged returns against current returns
Autocorrelation, which is BlueStar Travel 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 BlueStar Travel's index expected returns. We can calculate the autocorrelation of BlueStar Travel returns to help us make a trade decision. For example, suppose you find that BlueStar Travel 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
BlueStar Travel 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 BlueStar Travel index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BlueStar Travel index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BlueStar Travel index over time.
Current vs Lagged Prices
Timeline
BlueStar Travel Lagged Returns
When evaluating BlueStar Travel's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BlueStar Travel index have on its future price. BlueStar Travel 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, BlueStar Travel autocorrelation shows the relationship between BlueStar Travel index current value and its past values and can show if there is a momentum factor associated with investing in BlueStar Travel And.
Regressed Prices
Timeline
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