ORACLE P 43 Market Value
| 68389XAV7 | 89.38 4.40 4.69% |
| Symbol | ORACLE |
ORACLE '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 ORACLE'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 ORACLE.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in ORACLE on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding ORACLE P 43 or generate 0.0% return on investment in ORACLE over 30 days. ORACLE is related to or competes with Kaiser Aluminum, Maanshan Iron, Grupo Aeroportuario, Mayfair Gold, United States, and HF Sinclair. More
ORACLE 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 ORACLE'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 ORACLE P 43 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 9.01 | |||
| Value At Risk | (1.93) | |||
| Potential Upside | 2.07 |
ORACLE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ORACLE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ORACLE's standard deviation. In reality, there are many statistical measures that can use ORACLE historical prices to predict the future ORACLE's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.33) | |||
| Treynor Ratio | 0.6162 |
ORACLE P 43 Backtested Returns
ORACLE P 43 retains Efficiency (Sharpe Ratio) of -0.12, which implies the entity had a -0.12% return per unit of risk over the last 3 months. ORACLE exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check ORACLE's coefficient of variation of (1,885), and Market Risk Adjusted Performance of 0.6262 to confirm the risk estimate we provide. The bond owns a Beta (Systematic Risk) of -0.15, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning ORACLE are expected to decrease at a much lower rate. During the bear market, ORACLE is likely to outperform the market.
Auto-correlation | 0.31 |
Below average predictability
ORACLE P 43 has below average predictability. Overlapping area represents the amount of predictability between ORACLE time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 ORACLE P 43 price movement. The serial correlation of 0.31 indicates that nearly 31.0% of current ORACLE price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.31 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 1.18 |
ORACLE P 43 lagged returns against current returns
Autocorrelation, which is ORACLE 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 ORACLE's bond expected returns. We can calculate the autocorrelation of ORACLE returns to help us make a trade decision. For example, suppose you find that ORACLE 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 |
ORACLE 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 ORACLE bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ORACLE bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ORACLE bond over time.
Current vs Lagged Prices |
| Timeline |
ORACLE Lagged Returns
When evaluating ORACLE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ORACLE bond have on its future price. ORACLE 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, ORACLE autocorrelation shows the relationship between ORACLE bond current value and its past values and can show if there is a momentum factor associated with investing in ORACLE P 43.
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 ORACLE Bond
ORACLE financial ratios help investors to determine whether ORACLE 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 ORACLE with respect to the benefits of owning ORACLE security.