Sandy Spring Stock Forecast - Naive Prediction

SASRDelisted Stock  USD 27.95  0.79  2.91%   
The Naive Prediction forecasted value of Sandy Spring Bancorp on the next trading day is expected to be 27.89 with a mean absolute deviation of 0.50 and the sum of the absolute errors of 30.54. Sandy Stock Forecast is based on your current time horizon.
  
A naive forecasting model for Sandy Spring is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Sandy Spring Bancorp value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Sandy Spring Naive Prediction Price Forecast For the 29th of July

Given 90 days horizon, the Naive Prediction forecasted value of Sandy Spring Bancorp on the next trading day is expected to be 27.89 with a mean absolute deviation of 0.50, mean absolute percentage error of 0.39, and the sum of the absolute errors of 30.54.
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

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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 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.
AICAkaike Information Criteria117.1601
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5007
MAPEMean absolute percentage error0.0158
SAESum of the absolute errors30.5402
This model is not at all useful as a medium-long range forecasting tool of Sandy Spring Bancorp. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Sandy Spring. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

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.
Hype
Prediction
LowEstimatedHigh
27.9527.9527.95
Details
Intrinsic
Valuation
LowRealHigh
25.1325.1330.75
Details
Bollinger
Band Projection (param)
LowMiddleHigh
26.5330.6234.72
Details

View Sandy Spring Related Equities

 Risk & Return  Correlation

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.

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.
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.
Pair CorrelationCorrelation Matching
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in state.
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Other Consideration for investing in Sandy Stock

If you are still planning to invest in Sandy Spring Bancorp check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Sandy Spring's history and understand the potential risks before investing.
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