Savola (Saudi Arabia) Market Value
2050 Stock | SAR 36.85 0.65 1.80% |
Symbol | Savola |
Savola '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 Savola'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 Savola.
08/23/2023 |
| 09/22/2023 |
If you would invest 0.00 in Savola on August 23, 2023 and sell it all today you would earn a total of 0.00 from holding Savola Group or generate 0.0% return on investment in Savola over 30 days. Savola is related to or competes with Dur Hospitality, Al Jouf, Middle East, Malath Cooperative, Makkah ConstructionDeve, Wataniya Insurance, and Saudi Arabian. Savola Group Company, through its subsidiaries, manufactures, markets, and distributes food products in the Middle East,... More
Savola 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 Savola'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 Savola Group upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.008867) | |||
Maximum Drawdown | 11.62 | |||
Value At Risk | (3.65) | |||
Potential Upside | 3.88 |
Savola Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Savola's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Savola's standard deviation. In reality, there are many statistical measures that can use Savola historical prices to predict the future Savola's volatility.Risk Adjusted Performance | 0.0013 | |||
Jensen Alpha | (0.033326) | |||
Total Risk Alpha | 0.0159 | |||
Treynor Ratio | (2.52) |
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Savola'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. Please use the tools below to analyze the current value of Savola in the context of predictive analytics.
Savola Group Backtested Returns
Savola Group owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.12, which indicates the firm had -0.12% of return per unit of risk over the last 3 months. Our standpoint towards measuring the risk of any stock is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. Savola Group exposes fifteen different technical indicators, which can help you to evaluate volatility embedded in its stock price that cannot be diversified away. Please validate Savola Risk Adjusted Performance of 0.0013, variance of 5.46, and Coefficient Of Variation of (9,942) to confirm the risk estimate we provide. The entity has a beta of 0.0133, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Savola returns are expected to increase less than the market. However, during the bear market, the loss on holding Savola will be expected to be smaller as well. Even though it is essential to pay attention to Savola Group current price movements, it is always good to be careful when utilizing equity historical returns. Our philosophy towards measuring any stock's future performance is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. Savola Group exposes fifteen different technical indicators, which can help you to evaluate its performance. Savola Group has an expected return of -0.26%. Please make sure to validate Savola value at risk, skewness, and the relationship between the maximum drawdown and potential upside to decide if Savola Group performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.11 |
Insignificant reverse predictability
Savola Group has insignificant reverse predictability. Overlapping area represents the amount of predictability between Savola time series from 23rd of August 2023 to 7th of September 2023 and 7th of September 2023 to 22nd of September 2023. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Savola Group price movement. The serial correlation of -0.11 indicates that less than 11.0% of current Savola price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.11 | |
Spearman Rank Test | -0.27 | |
Residual Average | 0.0 | |
Price Variance | 0.71 |
Savola Group lagged returns against current returns
Autocorrelation, which is Savola 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 Savola's stock expected returns. We can calculate the autocorrelation of Savola returns to help us make a trade decision. For example, suppose you find that Savola stock 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 stock movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Savola 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 Savola stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Savola stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Savola stock over time.
Current vs Lagged Prices |
Timeline |
Savola Lagged Returns
When evaluating Savola's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Savola stock have on its future price. Savola 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, Savola autocorrelation shows the relationship between Savola stock current value and its past values and can show if there is a momentum factor associated with investing in Savola Group.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Savola in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Savola's short interest history, or implied volatility extrapolated from Savola options trading.
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Check out Savola Correlation, Savola Volatility and Savola Alpha and Beta module to complement your research on Savola. You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Complementary Tools for Savola Stock analysis
When running Savola's price analysis, check to measure Savola's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Savola is operating at the current time. Most of Savola's value examination focuses on studying past and present price action to predict the probability of Savola's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Savola's price. Additionally, you may evaluate how the addition of Savola to your portfolios can decrease your overall portfolio volatility.
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Savola 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.