Regenxbio Stock Forecast - Naive Prediction

RGNX Stock  USD 9.92  0.09  0.90%   
The Naive Prediction forecasted value of Regenxbio on the next trading day is expected to be 10.01 with a mean absolute deviation of 0.53 and the sum of the absolute errors of 32.12. Regenxbio Stock Forecast is based on your current time horizon.
  
At this time, Regenxbio's Inventory Turnover is fairly stable compared to the past year. Receivables Turnover is likely to rise to 6.60 in 2024, whereas Payables Turnover is likely to drop 1.57 in 2024. . Common Stock Shares Outstanding is likely to drop to about 33.3 M in 2024. Net Loss is likely to rise to about (239.7 M) in 2024.
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Regenxbio's financial statements to predict how it will affect future prices.
 
Cash  
First Reported
2013-12-31
Previous Quarter
57.8 M
Current Value
56.6 M
Quarterly Volatility
85.6 M
 
Yuan Drop
 
Covid
A naive forecasting model for Regenxbio is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Regenxbio 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.

Regenxbio Naive Prediction Price Forecast For the 30th of November

Given 90 days horizon, the Naive Prediction forecasted value of Regenxbio on the next trading day is expected to be 10.01 with a mean absolute deviation of 0.53, mean absolute percentage error of 0.44, and the sum of the absolute errors of 32.12.
Please note that although there have been many attempts to predict Regenxbio 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 Regenxbio's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Regenxbio Stock Forecast Pattern

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Regenxbio Forecasted Value

In the context of forecasting Regenxbio'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. Regenxbio's downside and upside margins for the forecasting period are 5.37 and 14.64, respectively. We have considered Regenxbio'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.
Market Value
9.92
10.01
Expected Value
14.64
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 Regenxbio stock data series using in forecasting. Note that when a statistical model is used to represent Regenxbio 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 Criteria117.2788
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5266
MAPEMean absolute percentage error0.0517
SAESum of the absolute errors32.1208
This model is not at all useful as a medium-long range forecasting tool of Regenxbio. 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 Regenxbio. 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 Regenxbio

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Regenxbio. 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.
Hype
Prediction
LowEstimatedHigh
5.3510.0214.69
Details
Intrinsic
Valuation
LowRealHigh
9.0117.5022.17
Details
13 Analysts
Consensus
LowTargetHigh
37.8141.5546.12
Details
Earnings
Estimates (0)
LowProjected EPSHigh
-1.37-1.19-1.01
Details

Other Forecasting Options for Regenxbio

For every potential investor in Regenxbio, whether a beginner or expert, Regenxbio's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Regenxbio Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Regenxbio. Basic forecasting techniques help filter out the noise by identifying Regenxbio's price trends.

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 Risk & Return  Correlation

Regenxbio 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 Regenxbio'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 Regenxbio's current price.

Regenxbio Market Strength Events

Market strength indicators help investors to evaluate how Regenxbio stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Regenxbio shares will generate the highest return on investment. By undertsting and applying Regenxbio stock market strength indicators, traders can identify Regenxbio entry and exit signals to maximize returns.

Regenxbio Risk Indicators

The analysis of Regenxbio'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 Regenxbio's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting regenxbio 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.
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.

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Additional Tools for Regenxbio Stock Analysis

When running Regenxbio's price analysis, check to measure Regenxbio'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 Regenxbio is operating at the current time. Most of Regenxbio's value examination focuses on studying past and present price action to predict the probability of Regenxbio's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Regenxbio's price. Additionally, you may evaluate how the addition of Regenxbio to your portfolios can decrease your overall portfolio volatility.