No Borders Stock Forecast - Naive Prediction

The Naive Prediction forecasted value of No Borders on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. NBDR Stock Forecast is based on your current time horizon. Although No Borders' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of No Borders' systematic risk associated with finding meaningful patterns of No Borders fundamentals over time.
  
As of 11/22/2024, Inventory Turnover is likely to drop to 0.34. In addition to that, Payables Turnover is likely to drop to 0.65. As of 11/22/2024, Net Loss is likely to drop to about (531.5 K).

No Borders Cash Forecast

Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the No Borders' financial statements to estimate their effects on upcoming price movements.
 
Cash  
First Reported
2010-12-31
Previous Quarter
261.3 K
Current Value
274.4 K
Quarterly Volatility
109.8 K
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for No Borders is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of No Borders 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.

No Borders Naive Prediction Price Forecast For the 23rd of November

Given 90 days horizon, the Naive Prediction forecasted value of No Borders on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict NBDR 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 No Borders' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

No Borders Stock Forecast Pattern

Backtest No BordersNo Borders Price PredictionBuy or Sell Advice 

No Borders Forecasted Value

In the context of forecasting No Borders' 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. No Borders' downside and upside margins for the forecasting period are 0.00 and 0.00, respectively. We have considered No Borders' 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
0.00
0.00
Expected Value
0.00
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 No Borders stock data series using in forecasting. Note that when a statistical model is used to represent No Borders 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 Criteria-9.223372036854776E14
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
This model is not at all useful as a medium-long range forecasting tool of No Borders. 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 No Borders. 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 No Borders

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as No Borders. 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 No Borders' 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
0.000.000.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.000.00
Details

Other Forecasting Options for No Borders

For every potential investor in NBDR, whether a beginner or expert, No Borders' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. NBDR Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in NBDR. Basic forecasting techniques help filter out the noise by identifying No Borders' price trends.

No Borders Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with No Borders stock to make a market-neutral strategy. Peer analysis of No Borders could also be used in its relative valuation, which is a method of valuing No Borders by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

No Borders 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 No Borders' 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 No Borders' current price.

Pair Trading with No Borders

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 No Borders 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 No Borders will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to No Borders could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace No Borders 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 No Borders - 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 No Borders to buy it.
The correlation of No Borders 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 No Borders moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if No Borders 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 No Borders 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

Additional Tools for NBDR Stock Analysis

When running No Borders' price analysis, check to measure No Borders' 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 No Borders is operating at the current time. Most of No Borders' value examination focuses on studying past and present price action to predict the probability of No Borders' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move No Borders' price. Additionally, you may evaluate how the addition of No Borders to your portfolios can decrease your overall portfolio volatility.