Sinil Pharmaceutical Stock Forecast - Polynomial Regression

Sinil Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Sinil Pharmaceutical stock prices and determine the direction of Sinil Pharmaceutical Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Sinil Pharmaceutical's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Sinil Pharmaceutical polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Sinil Pharmaceutical Co as well as the accuracy indicators are determined from the period prices.
A single variable polynomial regression model attempts to put a curve through the Sinil Pharmaceutical 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 Sinil Pharmaceutical

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sinil Pharmaceutical. 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
6,5086,5106,512
Details
Intrinsic
Valuation
LowRealHigh
5,7275,7297,161
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Sinil Pharmaceutical. Your research has to be compared to or analyzed against Sinil Pharmaceutical's peers to derive any actionable benefits. When done correctly, Sinil Pharmaceutical's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Sinil Pharmaceutical.

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

Pair Trading with Sinil Pharmaceutical

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 Sinil Pharmaceutical 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 Sinil Pharmaceutical will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Comerica could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Comerica 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 Comerica - 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 Comerica to buy it.
The correlation of Comerica 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 Comerica moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Comerica 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 Comerica 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
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.
You can also try the USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.

Other Tools for Sinil Stock

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