Oracle Stock Market Value
| ORCL Stock | USD 182.70 7.67 4.03% |
| Symbol | Oracle |
Oracle Price To Book Ratio
Is Systems Software space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Oracle. If investors know Oracle will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Oracle listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.198 | Dividend Share 1.6 | Earnings Share 3.87 | Revenue Per Share 19.553 | Quarterly Revenue Growth 0.069 |
The market value of Oracle is measured differently than its book value, which is the value of Oracle that is recorded on the company's balance sheet. Investors also form their own opinion of Oracle's value that differs from its market value or its book value, called intrinsic value, which is Oracle's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Oracle's market value can be influenced by many factors that don't directly affect Oracle's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Oracle's value and its price as these two are different measures arrived at by different means. Investors typically determine if Oracle is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Oracle'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.
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 stock 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.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Oracle on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Oracle or generate 0.0% return on investment in Oracle over 30 days. Oracle is related to or competes with Palo Alto, Crowdstrike Holdings, Microsoft, Block, Adobe Systems, Palantir Technologies, and Zscaler. Oracle Corporation offers products and services that address enterprise information technology environments worldwide 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 stock 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 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.36 | |||
| Information Ratio | 0.1799 | |||
| Maximum Drawdown | 15.28 | |||
| Value At Risk | (1.77) | |||
| Potential Upside | 2.83 |
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 | 0.192 | |||
| Jensen Alpha | 0.3686 | |||
| Total Risk Alpha | 0.1667 | |||
| Sortino Ratio | 0.2727 | |||
| Treynor Ratio | 0.4787 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oracle's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Oracle Backtested Returns
Oracle appears to be very steady, given 3 months investment horizon. Oracle maintains Sharpe Ratio (i.e., Efficiency) of 0.2, which implies the firm had a 0.2% return per unit of risk over the last 3 months. We have found thirty technical indicators for Oracle, which you can use to evaluate the volatility of the company. Please evaluate Oracle's Risk Adjusted Performance of 0.192, semi deviation of 0.8942, and Coefficient Of Variation of 411.65 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Oracle holds a performance score of 15. The company holds a Beta of 1.03, which implies a somewhat significant risk relative to the market. Oracle returns are very sensitive to returns on the market. As the market goes up or down, Oracle is expected to follow. Please check Oracle's potential upside, rate of daily change, and the relationship between the sortino ratio and skewness , to make a quick decision on whether Oracle's historical price patterns will revert.
Auto-correlation | 0.16 |
Very weak predictability
Oracle has very weak predictability. Overlapping area represents the amount of predictability between Oracle 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 Oracle price movement. The serial correlation of 0.16 indicates that over 16.0% of current Oracle price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.16 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 9.62 |
Oracle lagged returns against current returns
Autocorrelation, which is Oracle stock'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 stock 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 stock 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 stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oracle stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Oracle stock 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 stock 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 stock current value and its past values and can show if there is a momentum factor associated with investing in Oracle.
Regressed Prices |
| Timeline |
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Oracle technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.