Apple (UK) Market Value
| 0R2V Stock | USD 2.30 0.59 34.50% |
| Symbol | Apple |
Apple '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 Apple'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 Apple.
| 12/06/2022 |
| 11/25/2024 |
If you would invest 0.00 in Apple on December 6, 2022 and sell it all today you would earn a total of 0.00 from holding Apple Inc or generate 0.0% return on investment in Apple over 720 days. Apple is related to or competes with Samsung Electronics, Samsung Electronics, Hyundai, Toyota, Reliance Industries, SoftBank Group, and MOL Hungarian. Apple Inc. designs, manufactures, and markets smartphones, personal computers, tablets, wearables, and accessories world... More
Apple 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 Apple'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 Apple Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 30.89 | |||
| Information Ratio | 0.121 | |||
| Maximum Drawdown | 10118.72 | |||
| Value At Risk | (5.30) | |||
| Potential Upside | 5.1 |
Apple Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Apple's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Apple's standard deviation. In reality, there are many statistical measures that can use Apple historical prices to predict the future Apple's volatility.| Risk Adjusted Performance | 0.1029 | |||
| Jensen Alpha | 148.76 | |||
| Total Risk Alpha | (44.91) | |||
| Sortino Ratio | 4.83 | |||
| Treynor Ratio | 28.9 |
Apple Inc Backtested Returns
Apple Inc secures Sharpe Ratio (or Efficiency) of -0.0683, which signifies that the company had a -0.0683% return per unit of risk over the last 3 months. Apple Inc exposes thirty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Apple's Risk Adjusted Performance of 0.1029, mean deviation of 299.09, and Downside Deviation of 30.89 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 5.17, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Apple will likely underperform. At this point, Apple Inc has a negative expected return of -0.93%. Please make sure to confirm Apple's standard deviation, total risk alpha, and the relationship between the coefficient of variation and jensen alpha , to decide if Apple Inc performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.02 |
Virtually no predictability
Apple Inc has virtually no predictability. Overlapping area represents the amount of predictability between Apple time series from 6th of December 2022 to 1st of December 2023 and 1st of December 2023 to 25th 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 Apple Inc price movement. The serial correlation of 0.02 indicates that only 2.0% of current Apple price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.02 | |
| Spearman Rank Test | 0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 2389.45 |
Apple Inc lagged returns against current returns
Autocorrelation, which is Apple 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 Apple's stock expected returns. We can calculate the autocorrelation of Apple returns to help us make a trade decision. For example, suppose you find that Apple 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 |
Apple 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 Apple stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Apple stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Apple stock over time.
Current vs Lagged Prices |
| Timeline |
Apple Lagged Returns
When evaluating Apple's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Apple stock have on its future price. Apple 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, Apple autocorrelation shows the relationship between Apple stock current value and its past values and can show if there is a momentum factor associated with investing in Apple Inc.
Regressed Prices |
| Timeline |
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Apple 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.