Sandy Spring Stock Forecast - Simple Regression
| SASR Stock | USD 37.61 0.30 0.80% |
The Simple Regression forecasted value of Sandy Spring Bancorp on the next trading day is expected to be 38.78 with a mean absolute deviation of 1.13 and the sum of the absolute errors of 68.73. Sandy Stock Forecast is based on your current time horizon. Although Sandy Spring's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Sandy Spring's systematic risk associated with finding meaningful patterns of Sandy Spring fundamentals over time.
Sandy |
Sandy Spring Simple Regression Price Forecast For the 12th of December 2024
Given 90 days horizon, the Simple Regression forecasted value of Sandy Spring Bancorp on the next trading day is expected to be 38.78 with a mean absolute deviation of 1.13, mean absolute percentage error of 1.87, and the sum of the absolute errors of 68.73.Please note that although there have been many attempts to predict Sandy Stock 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 Sandy Spring's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Sandy Spring Stock Forecast Pattern
| Backtest Sandy Spring | Sandy Spring Price Prediction | Buy or Sell Advice |
Sandy Spring Forecasted Value
In the context of forecasting Sandy Spring's Stock 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. Sandy Spring's downside and upside margins for the forecasting period are 36.32 and 41.23, respectively. We have considered Sandy Spring'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 Simple Regression forecasting method's relative quality and the estimations of the prediction error of Sandy Spring stock data series using in forecasting. Note that when a statistical model is used to represent Sandy Spring stock, 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 | 118.7374 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.1268 |
| MAPE | Mean absolute percentage error | 0.0331 |
| SAE | Sum of the absolute errors | 68.7332 |
Predictive Modules for Sandy Spring
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sandy Spring Bancorp. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 Sandy Spring'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 Sandy Spring
For every potential investor in Sandy, whether a beginner or expert, Sandy Spring's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Sandy Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Sandy. Basic forecasting techniques help filter out the noise by identifying Sandy Spring's price trends.View Sandy Spring Related Equities
| Risk & Return | Correlation |
Sandy Spring Bancorp Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Sandy Spring'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 Sandy Spring's current price.| Cycle Indicators | ||
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Sandy Spring Market Strength Events
Market strength indicators help investors to evaluate how Sandy Spring stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Sandy Spring shares will generate the highest return on investment. By undertsting and applying Sandy Spring stock market strength indicators, traders can identify Sandy Spring Bancorp entry and exit signals to maximize returns.
Sandy Spring Risk Indicators
The analysis of Sandy Spring'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 Sandy Spring's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sandy stock 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 | 1.51 | |||
| Semi Deviation | 1.28 | |||
| Standard Deviation | 2.43 | |||
| Variance | 5.93 | |||
| Downside Variance | 2.26 | |||
| Semi Variance | 1.65 | |||
| Expected Short fall | (1.79) |
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.
Pair Trading with Sandy Spring
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Sandy Spring position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Sandy Spring will appreciate offsetting losses from the drop in the long position's value.Moving together with Sandy Stock
| 0.95 | AX | Axos Financial | PairCorr |
| 0.99 | BY | Byline Bancorp Fiscal Year End 23rd of January 2025 | PairCorr |
| 0.98 | PB | Prosperity Bancshares Fiscal Year End 22nd of January 2025 | PairCorr |
Moving against Sandy Stock
| 0.8 | CFG-PE | Citizens Financial | PairCorr |
| 0.73 | TFC-PR | Truist Financial | PairCorr |
| 0.72 | TFC-PO | Truist Financial | PairCorr |
| 0.43 | WF | Woori Financial Group | PairCorr |
The ability to find closely correlated positions to Sandy Spring could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sandy Spring when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Sandy Spring - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Sandy Spring Bancorp to buy it.
The correlation of Sandy Spring is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Sandy Spring moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sandy Spring Bancorp moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Sandy Spring can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Sandy Stock Analysis
When running Sandy Spring's price analysis, check to measure Sandy Spring'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 Sandy Spring is operating at the current time. Most of Sandy Spring's value examination focuses on studying past and present price action to predict the probability of Sandy Spring's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sandy Spring's price. Additionally, you may evaluate how the addition of Sandy Spring to your portfolios can decrease your overall portfolio volatility.