MSP Recovery Stock Forward View - Double Exponential Smoothing

MSPR Stock  USD 0.03  -0.0045  -13.64%   
MSP Recovery's Double Exponential Smoothing reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use.
The Double Exponential Smoothing forecasted value of MSP Recovery on the next trading day is expected to be 0.03 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.47.When MSP Recovery 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 MSP Recovery trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent MSP Recovery observations are given relatively more weight in forecasting than the older observations. All Double Exponential Smoothing forecast figures shown for MSP Recovery are reference data reflecting model output based on available historical prices.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for MSP Recovery works best with periods where there are trends or seasonality.

Double Exponential Smoothing Price Forecast For the 25th of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of MSP Recovery on the next trading day is expected to be 0.03 with a mean absolute deviation of 0.01 , mean absolute percentage error of 0.0002 , and the sum of the absolute errors of 0.47 .
Please note that although there have been many attempts to predict MSP 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 MSP Recovery's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

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Forecasted Value

For the next trading day, Macroaxis evaluates MSP Recovery's predictive range by looking for statistically meaningful downside and upside boundaries. The projected forecast band currently runs from roughly 0.0003 on the downside to about 16.18 on the upside.
Market Value
0.03
0.0003
Downside
0.03
Expected Value
16.18
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of MSP Recovery stock data series using in forecasting. Note that when a statistical model is used to represent MSP Recovery 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 CriteriaHuge
BiasArithmetic mean of the errors 0.0017
MADMean absolute deviation0.008
MAPEMean absolute percentage error0.1433
SAESum of the absolute errors0.4738
When MSP Recovery 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 MSP Recovery trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent MSP Recovery observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for MSP Recovery

Bollinger Bands applied to MSP Stock price data measure how far MSP has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to MSP Recovery's price data.

MSP Recovery Related Equities

The peer firms below within the Financials space can help frame MSP Recovery's pricing and running costs in context. Peer review on balance sheet metrics shows how MSP Recovery's capital structure stacks up against similar firms.
 Risk & Return  Correlation

MSP Recovery Market Strength Events

For investors tracking MSP Recovery, market strength indicators offer quantitative evaluation of stock behavior. These indicators add context to timing decisions around MSP Recovery positions.

MSP Recovery Risk Indicators

Analyzing MSP Recovery's basic risk indicators provides investors with a structured view of the risk-return trade-off for msp stock. By identifying the level of risk embedded in MSP Recovery's investment, investors can make informed decisions about position sizing.
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 MSP Recovery

The amount of media and story coverage tied to MSP Recovery can signal where market attention is concentrating at the moment. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.

MSP Recovery Short Properties

Short sentiment tied to MSP Recovery matters because heavier bearish pressure can change how quickly future price expectations become unstable. The practical goal is to identify when the balance between long and short participation may be changing the quality of the setup.
Common Stock Shares OutstandingM
Cash And Short Term Investments12.3 M

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