BaoMinh Insurance Stock Forecast - Polynomial Regression

BMI Stock   21,500  650.00  3.12%   
The Polynomial Regression forecasted value of BaoMinh Insurance Corp on the next trading day is expected to be 21,018 with a mean absolute deviation of 321.80 and the sum of the absolute errors of 19,630. BaoMinh Stock Forecast is based on your current time horizon.
  
BaoMinh Insurance polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for BaoMinh Insurance Corp as well as the accuracy indicators are determined from the period prices.

BaoMinh Insurance Polynomial Regression Price Forecast For the 5th of December

Given 90 days horizon, the Polynomial Regression forecasted value of BaoMinh Insurance Corp on the next trading day is expected to be 21,018 with a mean absolute deviation of 321.80, mean absolute percentage error of 185,393, and the sum of the absolute errors of 19,630.
Please note that although there have been many attempts to predict BaoMinh 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 BaoMinh Insurance's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

BaoMinh Insurance Stock Forecast Pattern

Backtest BaoMinh InsuranceBaoMinh Insurance Price PredictionBuy or Sell Advice 

BaoMinh Insurance Forecasted Value

In the context of forecasting BaoMinh Insurance'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. BaoMinh Insurance's downside and upside margins for the forecasting period are 21,016 and 21,021, respectively. We have considered BaoMinh Insurance'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
21,500
21,016
Downside
21,018
Expected Value
21,021
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 BaoMinh Insurance stock data series using in forecasting. Note that when a statistical model is used to represent BaoMinh Insurance 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 Criteria130.2407
BiasArithmetic mean of the errors None
MADMean absolute deviation321.8014
MAPEMean absolute percentage error0.0152
SAESum of the absolute errors19629.8864
A single variable polynomial regression model attempts to put a curve through the BaoMinh Insurance 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 BaoMinh Insurance

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BaoMinh Insurance Corp. 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
21,49821,50021,502
Details
Intrinsic
Valuation
LowRealHigh
17,41317,41523,650
Details
Bollinger
Band Projection (param)
LowMiddleHigh
20,34720,81221,278
Details

Other Forecasting Options for BaoMinh Insurance

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

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

BaoMinh Insurance Corp 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 BaoMinh Insurance'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 BaoMinh Insurance's current price.

BaoMinh Insurance Market Strength Events

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

BaoMinh Insurance Risk Indicators

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

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 BaoMinh Insurance 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 BaoMinh Insurance will appreciate offsetting losses from the drop in the long position's value.

Moving together with BaoMinh Stock

  0.61ADS Damsan JSCPairCorr
  0.75AAA An Phat PlasticPairCorr
  0.83AME Alphanam MEPairCorr
The ability to find closely correlated positions to BaoMinh Insurance could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace BaoMinh Insurance 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 BaoMinh Insurance - 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 BaoMinh Insurance Corp to buy it.
The correlation of BaoMinh Insurance 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 BaoMinh Insurance moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BaoMinh Insurance Corp 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 BaoMinh Insurance 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

Other Information on Investing in BaoMinh Stock

BaoMinh Insurance financial ratios help investors to determine whether BaoMinh Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in BaoMinh with respect to the benefits of owning BaoMinh Insurance security.