New Ulm OTC Stock Forecast - Polynomial Regression

NUVR Stock  USD 8.50  0.02  0.23%   
The Polynomial Regression forecasted value of New Ulm Telecom on the next trading day is expected to be 8.19 with a mean absolute deviation of 0.20 and the sum of the absolute errors of 12.06. New OTC Stock Forecast is based on your current time horizon.
  
New Ulm polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for New Ulm Telecom as well as the accuracy indicators are determined from the period prices.

New Ulm Polynomial Regression Price Forecast For the 28th of November

Given 90 days horizon, the Polynomial Regression forecasted value of New Ulm Telecom on the next trading day is expected to be 8.19 with a mean absolute deviation of 0.20, mean absolute percentage error of 0.11, and the sum of the absolute errors of 12.06.
Please note that although there have been many attempts to predict New OTC 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 New Ulm's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

New Ulm OTC Stock Forecast Pattern

Backtest New UlmNew Ulm Price PredictionBuy or Sell Advice 

New Ulm Forecasted Value

In the context of forecasting New Ulm's OTC 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. New Ulm's downside and upside margins for the forecasting period are 3.35 and 13.04, respectively. We have considered New Ulm'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
8.50
8.19
Expected Value
13.04
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of New Ulm otc stock data series using in forecasting. Note that when a statistical model is used to represent New Ulm otc 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 Criteria115.8921
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1978
MAPEMean absolute percentage error0.0227
SAESum of the absolute errors12.0642
A single variable polynomial regression model attempts to put a curve through the New Ulm historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for New Ulm

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as New Ulm Telecom. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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 New Ulm'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
3.668.5013.34
Details
Intrinsic
Valuation
LowRealHigh
2.527.3612.20
Details

Other Forecasting Options for New Ulm

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

New Ulm 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 New Ulm otc stock to make a market-neutral strategy. Peer analysis of New Ulm could also be used in its relative valuation, which is a method of valuing New Ulm by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

New Ulm Telecom Technical and Predictive Analytics

The otc stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of New Ulm'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 New Ulm's current price.

New Ulm Market Strength Events

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

New Ulm Risk Indicators

The analysis of New Ulm'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 New Ulm's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting new otc 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.

Pair Trading with New Ulm

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 New Ulm 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 New Ulm will appreciate offsetting losses from the drop in the long position's value.

Moving together with New OTC Stock

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  0.67PTAIF PT Astra InternationalPairCorr

Moving against New OTC Stock

  0.7MRK Merck Company Fiscal Year End 6th of February 2025 PairCorr
  0.63BKRKY Bank RakyatPairCorr
  0.63KO Coca Cola Aggressive PushPairCorr
  0.61TLK Telkom Indonesia TbkPairCorr
  0.52PPERY Bank Mandiri PerseroPairCorr
The ability to find closely correlated positions to New Ulm could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace New Ulm 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 New Ulm - 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 New Ulm Telecom to buy it.
The correlation of New Ulm 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 New Ulm moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if New Ulm Telecom 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 New Ulm 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 New OTC Stock Analysis

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