SANTAN Forecast - Naive Prediction
| 05964HAN5 | 91.08 7.40 7.51% |
SANTAN Bond outlook is based on your current time horizon. Investors can use this forecasting interface to forecast SANTAN stock prices and determine the direction of SANTAN 1722 14 SEP 27's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SANTAN's historical fundamentals, such as revenue growth or operating cash flow patterns.
At this time, the relative strength indicator of SANTAN's share price is approaching 45. This usually implies that the bond is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling SANTAN, making its price go up or down. Momentum 45
Impartial
Oversold | Overbought |
Using SANTAN hype-based prediction, you can estimate the value of SANTAN 1722 14 SEP 27 from the perspective of SANTAN response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of SANTAN 1722 14 SEP 27 on the next trading day is expected to be 90.89 with a mean absolute deviation of 1.20 and the sum of the absolute errors of 74.54. SANTAN after-hype prediction price | $ 91.08 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as bond price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
SANTAN |
SANTAN Additional Predictive Modules
Most predictive techniques to examine SANTAN price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SANTAN using various technical indicators. When you analyze SANTAN charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
SANTAN Naive Prediction Price Forecast For the 30th of January
Given 90 days horizon, the Naive Prediction forecasted value of SANTAN 1722 14 SEP 27 on the next trading day is expected to be 90.89 with a mean absolute deviation of 1.20, mean absolute percentage error of 5.06, and the sum of the absolute errors of 74.54.Please note that although there have been many attempts to predict SANTAN Bond prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that SANTAN's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SANTAN Bond Forecast Pattern
SANTAN Forecasted Value
In the context of forecasting SANTAN's Bond value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. SANTAN's downside and upside margins for the forecasting period are 88.19 and 93.59, respectively. We have considered SANTAN's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of SANTAN bond data series using in forecasting. Note that when a statistical model is used to represent SANTAN bond, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 121.5693 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.2022 |
| MAPE | Mean absolute percentage error | 0.013 |
| SAE | Sum of the absolute errors | 74.5377 |
Predictive Modules for SANTAN
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SANTAN 1722 14. Regardless of method or technology, however, to accurately forecast the bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the bond market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.SANTAN Estimiated After-Hype Price Volatility
As far as predicting the price of SANTAN at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in SANTAN or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Bond prices, such as prices of SANTAN, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
SANTAN Bond Price Outlook Analysis
Have you ever been surprised when a price of a Corporate Bond such as SANTAN is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SANTAN backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Bond price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with SANTAN, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.16 | 2.70 | 0.00 | 0.00 | 0 Events / Month | 4 Events / Month | Any time |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
91.08 | 91.08 | 0.00 |
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SANTAN Hype Timeline
SANTAN 1722 14 is at this time traded for 91.08. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. SANTAN is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at -0.16%. %. The volatility of related hype on SANTAN is about 13251.53%, with the expected price after the next announcement by competition of 91.08. Assuming the 90 days trading horizon the next forecasted press release will be any time. Check out fundamental analysis of SANTAN to check your projections.SANTAN Related Hype Analysis
Having access to credible news sources related to SANTAN's direct competition is more important than ever and may enhance your ability to predict SANTAN's future price movements. Getting to know how SANTAN's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how SANTAN may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CAG | ConAgra Foods | 0.27 | 10 per month | 1.74 | (0.04) | 2.63 | (2.54) | 7.17 | |
| PIAIF | Ping An Insurance | (0.39) | 4 per month | 2.08 | 0.09 | 5.08 | (4.69) | 19.13 | |
| FIFG | First Foods Group | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SLDE | Slide Insurance Holdings | 0.58 | 9 per month | 1.91 | (0) | 3.95 | (3.18) | 14.08 | |
| THG | The Hanover Insurance | (1.89) | 9 per month | 0.00 | (0.08) | 1.58 | (2.03) | 6.34 | |
| PKIN | Pekin Life Insurance | 0.00 | 0 per month | 0.00 | (5.02) | 0.00 | 0.00 | 0.17 | |
| RGA | Reinsurance Group of | 1.59 | 10 per month | 1.07 | (0) | 2.36 | (2.08) | 5.26 | |
| SENEM | Seneca Foods | 0 | 1 per month | 0.00 | (0.15) | 0.00 | 0.00 | 2.74 |
Other Forecasting Options for SANTAN
For every potential investor in SANTAN, whether a beginner or expert, SANTAN's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SANTAN Bond price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SANTAN. Basic forecasting techniques help filter out the noise by identifying SANTAN's price trends.SANTAN Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with SANTAN bond to make a market-neutral strategy. Peer analysis of SANTAN could also be used in its relative valuation, which is a method of valuing SANTAN by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SANTAN Market Strength Events
Market strength indicators help investors to evaluate how SANTAN bond reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SANTAN shares will generate the highest return on investment. By undertsting and applying SANTAN bond market strength indicators, traders can identify SANTAN 1722 14 SEP 27 entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.92 | |||
| Day Median Price | 91.08 | |||
| Day Typical Price | 91.08 | |||
| Price Action Indicator | (3.70) | |||
| Period Momentum Indicator | (7.40) | |||
| Relative Strength Index | 45.22 |
SANTAN Risk Indicators
The analysis of SANTAN's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in SANTAN's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting santan bond prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios. One of the essential factors to consider when estimating the risk of default for a bond instrument is its duration, which is the bond's price sensitivity to changes in interest rates. The duration of SANTAN 1722 14 SEP 27 bond is primarily affected by its yield, coupon rate, and time to maturity. The duration of a bond will be higher the lower its coupon, lower its yield, and longer the time left to maturity.
| Mean Deviation | 1.26 | |||
| Standard Deviation | 3.25 | |||
| Variance | 10.57 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for SANTAN
The number of cover stories for SANTAN depends on current market conditions and SANTAN's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that SANTAN is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about SANTAN's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Other Information on Investing in SANTAN Bond
SANTAN financial ratios help investors to determine whether SANTAN 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 SANTAN with respect to the benefits of owning SANTAN security.