Sterling Capital Mutual Fund Forecast - Triple Exponential Smoothing
| STSNX Fund | USD 42.67 0.27 0.63% |
The Triple Exponential Smoothing forecasted value of Sterling Capital Stratton on the next trading day is expected to be 42.58 with a mean absolute deviation of 0.33 and the sum of the absolute errors of 19.56. Sterling Mutual Fund Forecast is based on your current time horizon.
Sterling |
Most investors in Sterling Capital cannot accurately predict what will happen the next trading day because, historically, fund markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Sterling Capital's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Sterling Capital's price structures and extracts relationships that further increase the generated results' accuracy.
Triple exponential smoothing for Sterling Capital - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Sterling Capital prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Sterling Capital price movement. However, neither of these exponential smoothing models address any seasonality of Sterling Capital Stratton. Sterling Capital Triple Exponential Smoothing Price Forecast For the 13th of June 2024
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Sterling Capital Stratton on the next trading day is expected to be 42.58 with a mean absolute deviation of 0.33, mean absolute percentage error of 0.18, and the sum of the absolute errors of 19.56.Please note that although there have been many attempts to predict Sterling Mutual Fund 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 Sterling Capital's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Sterling Capital Mutual Fund Forecast Pattern
| Backtest Sterling Capital | Sterling Capital Price Prediction | Buy or Sell Advice |
Sterling Capital Forecasted Value
In the context of forecasting Sterling Capital's Mutual Fund 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. Sterling Capital's downside and upside margins for the forecasting period are 41.66 and 43.51, respectively. We have considered Sterling Capital'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 Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Sterling Capital mutual fund data series using in forecasting. Note that when a statistical model is used to represent Sterling Capital mutual fund, 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.0633 |
| MAD | Mean absolute deviation | 0.3316 |
| MAPE | Mean absolute percentage error | 0.0077 |
| SAE | Sum of the absolute errors | 19.5649 |
Predictive Modules for Sterling Capital
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sterling Capital Stratton. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sterling Capital'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.
Other Forecasting Options for Sterling Capital
For every potential investor in Sterling, whether a beginner or expert, Sterling Capital's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Sterling Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Sterling. Basic forecasting techniques help filter out the noise by identifying Sterling Capital's price trends.Sterling Capital 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 Sterling Capital mutual fund to make a market-neutral strategy. Peer analysis of Sterling Capital could also be used in its relative valuation, which is a method of valuing Sterling Capital by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Sterling Capital Stratton Technical and Predictive Analytics
The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Sterling Capital's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Sterling Capital's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Sterling Capital Market Strength Events
Market strength indicators help investors to evaluate how Sterling Capital mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Sterling Capital shares will generate the highest return on investment. By undertsting and applying Sterling Capital mutual fund market strength indicators, traders can identify Sterling Capital Stratton entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 42.67 | |||
| Day Typical Price | 42.67 | |||
| Price Action Indicator | (0.13) | |||
| Period Momentum Indicator | (0.27) |
Sterling Capital Risk Indicators
The analysis of Sterling Capital'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 Sterling Capital's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sterling mutual fund 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.
| Mean Deviation | 0.707 | |||
| Standard Deviation | 0.9121 | |||
| Variance | 0.8319 |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Sterling Mutual Fund
Sterling Capital financial ratios help investors to determine whether Sterling Mutual Fund 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 Sterling with respect to the benefits of owning Sterling Capital security.
| Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities |