Saratoga Investama (Indonesia) Market Value
| SRTG Stock | IDR 1,500 10.00 0.66% |
| Symbol | Saratoga |
Saratoga Investama '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 Saratoga Investama'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 Saratoga Investama.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Saratoga Investama on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Saratoga Investama Sedaya or generate 0.0% return on investment in Saratoga Investama over 30 days. Saratoga Investama is related to or competes with Elang Mahkota, Mitra Pinasthika, Tower Bersama, Merdeka Copper, and PT Sarana. PT Saratoga Investama Sedaya Tbk is a private equity and venture capital firm specializing in early stage, growth stage ... More
Saratoga Investama 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 Saratoga Investama'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 Saratoga Investama Sedaya upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 11.02 | |||
| Value At Risk | (2.74) | |||
| Potential Upside | 2.08 |
Saratoga Investama Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Saratoga Investama's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Saratoga Investama's standard deviation. In reality, there are many statistical measures that can use Saratoga Investama historical prices to predict the future Saratoga Investama's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | 0.5323 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Saratoga Investama'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.
Saratoga Investama Sedaya Backtested Returns
Saratoga Investama Sedaya owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0422, which indicates the firm had a -0.0422% return per unit of risk over the last 3 months. Saratoga Investama Sedaya exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Saratoga Investama's Variance of 2.87, coefficient of variation of (1,176), and Risk Adjusted Performance of (0.05) to confirm the risk estimate we provide. The entity has a beta of -0.29, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Saratoga Investama are expected to decrease at a much lower rate. During the bear market, Saratoga Investama is likely to outperform the market. Saratoga Investama Sedaya has an expected return of -0.0774%. Please make sure to validate Saratoga Investama skewness, accumulation distribution, and the relationship between the potential upside and kurtosis , to decide if Saratoga Investama Sedaya performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.86 |
Very good predictability
Saratoga Investama Sedaya has very good predictability. Overlapping area represents the amount of predictability between Saratoga Investama time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 Saratoga Investama Sedaya price movement. The serial correlation of 0.86 indicates that approximately 86.0% of current Saratoga Investama price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.86 | |
| Spearman Rank Test | 0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 622.92 |
Saratoga Investama Sedaya lagged returns against current returns
Autocorrelation, which is Saratoga Investama 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 Saratoga Investama's stock expected returns. We can calculate the autocorrelation of Saratoga Investama returns to help us make a trade decision. For example, suppose you find that Saratoga Investama 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 |
Saratoga Investama 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 Saratoga Investama stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Saratoga Investama stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Saratoga Investama stock over time.
Current vs Lagged Prices |
| Timeline |
Saratoga Investama Lagged Returns
When evaluating Saratoga Investama's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Saratoga Investama stock have on its future price. Saratoga Investama 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, Saratoga Investama autocorrelation shows the relationship between Saratoga Investama stock current value and its past values and can show if there is a momentum factor associated with investing in Saratoga Investama Sedaya.
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 Saratoga Investama 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, Saratoga Investama's short interest history, or implied volatility extrapolated from Saratoga Investama options trading.
Currently Active Assets on Macroaxis
Check out Saratoga Investama Correlation, Saratoga Investama Volatility and Saratoga Investama Alpha and Beta module to complement your research on Saratoga Investama. You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
Complementary Tools for Saratoga Stock analysis
When running Saratoga Investama's price analysis, check to measure Saratoga Investama'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 Saratoga Investama is operating at the current time. Most of Saratoga Investama's value examination focuses on studying past and present price action to predict the probability of Saratoga Investama's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Saratoga Investama's price. Additionally, you may evaluate how the addition of Saratoga Investama to your portfolios can decrease your overall portfolio volatility.
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Saratoga Investama 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.