GTLS 75 01 JAN 30 Market Value
| 16115QAF7 | 103.63 0.66 0.63% |
| Symbol | 16115QAF7 |
Please note, there is a significant difference between 16115QAF7's value and its price as these two are different measures arrived at by different means. Investors typically determine if 16115QAF7 is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, 16115QAF7's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
16115QAF7 '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 16115QAF7's bond 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 16115QAF7.
| 11/28/2023 |
| 11/22/2024 |
If you would invest 0.00 in 16115QAF7 on November 28, 2023 and sell it all today you would earn a total of 0.00 from holding GTLS 75 01 JAN 30 or generate 0.0% return on investment in 16115QAF7 over 360 days. 16115QAF7 is related to or competes with 00108WAF7, 90331HPL1, Alphabet, Axon Enterprise, Red Cat, Quantum Computing, and Destiny Tech100. More
16115QAF7 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 16115QAF7's bond 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 GTLS 75 01 JAN 30 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 3.47 | |||
| Value At Risk | (0.50) | |||
| Potential Upside | 0.3177 |
16115QAF7 Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for 16115QAF7's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as 16115QAF7's standard deviation. In reality, there are many statistical measures that can use 16115QAF7 historical prices to predict the future 16115QAF7's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.10) | |||
| Treynor Ratio | (4.00) |
GTLS 75 01 Backtested Returns
GTLS 75 01 secures Sharpe Ratio (or Efficiency) of -0.16, which signifies that the bond had a -0.16% return per unit of price deviation over the last 3 months. GTLS 75 01 JAN 30 exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm 16115QAF7's Mean Deviation of 0.2976, coefficient of variation of (2,690), and Information Ratio of (0.20) to double-check the risk estimate we provide. The bond shows a Beta (market volatility) of 0.0081, which signifies not very significant fluctuations relative to the market. As returns on the market increase, 16115QAF7's returns are expected to increase less than the market. However, during the bear market, the loss of holding 16115QAF7 is expected to be smaller as well.
Auto-correlation | -0.07 |
Very weak reverse predictability
GTLS 75 01 JAN 30 has very weak reverse predictability. Overlapping area represents the amount of predictability between 16115QAF7 time series from 28th of November 2023 to 26th of May 2024 and 26th of May 2024 to 22nd 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 GTLS 75 01 price movement. The serial correlation of -0.07 indicates that barely 7.0% of current 16115QAF7 price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.07 | |
| Spearman Rank Test | 0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.67 |
GTLS 75 01 lagged returns against current returns
Autocorrelation, which is 16115QAF7 bond'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 16115QAF7's bond expected returns. We can calculate the autocorrelation of 16115QAF7 returns to help us make a trade decision. For example, suppose you find that 16115QAF7 has exhibited high autocorrelation historically, and you observe that the bond 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 |
16115QAF7 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 16115QAF7 bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if 16115QAF7 bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in 16115QAF7 bond over time.
Current vs Lagged Prices |
| Timeline |
16115QAF7 Lagged Returns
When evaluating 16115QAF7's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of 16115QAF7 bond have on its future price. 16115QAF7 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, 16115QAF7 autocorrelation shows the relationship between 16115QAF7 bond current value and its past values and can show if there is a momentum factor associated with investing in GTLS 75 01 JAN 30.
Regressed Prices |
| Timeline |
Also Currently Popular
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.Other Information on Investing in 16115QAF7 Bond
16115QAF7 financial ratios help investors to determine whether 16115QAF7 Bond is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in 16115QAF7 with respect to the benefits of owning 16115QAF7 security.