Blackbaud Stock Forward View
| BLKB Stock | USD 44.18 0.04 0.09% |
This page documents Naive Prediction forecast output for Blackbaud as reference data. The model is applied to historical closing prices and the resulting projection and error statistics are shown below. Key metrics including projected price and mean absolute deviation are summarized below.
The Naive Prediction forecasted value of Blackbaud on the next trading day is expected to be 42.48 with a mean absolute deviation of 1.37 and the sum of the absolute errors of 83.35.This model is not at all useful as a medium-long range forecasting tool of Blackbaud. 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 Blackbaud. 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. Blackbaud's Naive Prediction reference values are drawn from available trading data and are presented for informational reference only. Blackbaud Cash Forecast
Cash forecasting for Blackbaud integrates regression, time-series decomposition, and machine learning techniques. Algorithms process these patterns to generate probability-weighted predictions of Blackbaud's future performance. The quality of a cash forecast depends on the accuracy of assumptions about Blackbaud's revenue and cost trends.
Cash | First Reported 2002-12-31 | Previous Quarter 38.3 M | Current Value 759 M | Quarterly Volatility 78.3 M |
Macro event markers
Naive Prediction Price Forecast For the 24th of March
Given 90 days horizon, the Naive Prediction forecasted value of Blackbaud on the next trading day is expected to be 42.48 with a mean absolute deviation of 1.37 , mean absolute percentage error of 2.55 , and the sum of the absolute errors of 83.35 .Please note that although there have been many attempts to predict Blackbaud Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Blackbaud's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Blackbaud | Blackbaud Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Blackbaud uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. The projected forecast band currently runs from roughly 39.99 on the downside to about 44.96 on the upside.
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 Blackbaud stock data series using in forecasting. Note that when a statistical model is used to represent Blackbaud 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 | 119.0467 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.3664 |
| MAPE | Mean absolute percentage error | 0.0266 |
| SAE | Sum of the absolute errors | 83.3507 |
Other Forecasting Options for Blackbaud
MACD analysis of Blackbaud tracks the relationship between two exponential moving averages of Blackbaud's price. Many Blackbaud's traders use Fibonacci levels to set entry and exit targets based on prior price swings. Average True Range measures the typical daily price swing for Blackbaud, accounting for gaps.Blackbaud Related Equities
These firms work in a similar space as Blackbaud within the Information Technology space and serve as useful points for comparison. Return on equity across these peers shows how well each firm turns capital into profit. Investors should look for peers that steadily beat or lag Blackbaud across many periods.
| Risk & Return | Correlation |
Blackbaud Market Strength Events
Market strength indicators for Blackbaud assess how the stock responds to changes in investor sentiment. These signals support informed decisions about when to enter or exit Blackbaud positions. Market strength signals help investors time Blackbaud positions with greater precision and confidence.
Blackbaud Risk Indicators
Risk indicator analysis for Blackbaud is a critical component of accurate price forecasting. Identifying and quantifying the risks associated with Blackbaud's allows investors to make better-informed decisions. Understanding Blackbaud's risk indicators is a fundamental step in managing investment exposure responsibly.
| Mean Deviation | 1.84 | |||
| Standard Deviation | 2.44 | |||
| Variance | 5.94 |
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 Blackbaud
Coverage intensity for Blackbaud matters because narrative visibility can influence sentiment, participation, and volatility around the name. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
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Blackbaud Short Properties
Reviewing short-oriented indicators for Blackbaud is useful because long and short participants often create very different signals for timing and volatility. The stronger read compares short sentiment with trend behavior, volume, and the broader market narrative.
| Common Stock Shares Outstanding | 48.5 M | |
| Cash And Short Term Investments | 759 M |