Connecticut Light Pink Sheet Forecast - Simple Regression

CNTHN Stock  USD 39.20  1.22  3.02%   
The Simple Regression forecasted value of The Connecticut Light on the next trading day is expected to be 40.00 with a mean absolute deviation of 0.41 and the sum of the absolute errors of 24.76. Connecticut Pink Sheet Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Connecticut Light price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Connecticut Light Simple Regression Price Forecast For the 2nd of July

Given 90 days horizon, the Simple Regression forecasted value of The Connecticut Light on the next trading day is expected to be 40.00 with a mean absolute deviation of 0.41, mean absolute percentage error of 0.21, and the sum of the absolute errors of 24.76.
Please note that although there have been many attempts to predict Connecticut Pink Sheet 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 Connecticut Light's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Connecticut Light Pink Sheet Forecast Pattern

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Connecticut Light Forecasted Value

In the context of forecasting Connecticut Light's Pink Sheet 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. Connecticut Light's downside and upside margins for the forecasting period are 39.18 and 40.82, respectively. We have considered Connecticut Light'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
39.20
40.00
Expected Value
40.82
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Connecticut Light pink sheet data series using in forecasting. Note that when a statistical model is used to represent Connecticut Light pink sheet, 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 Criteria116.561
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4059
MAPEMean absolute percentage error0.0102
SAESum of the absolute errors24.7591
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as The Connecticut Light historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Connecticut Light

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Connecticut Light. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 Connecticut Light'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
38.3839.2040.02
Details
Intrinsic
Valuation
LowRealHigh
30.9331.7543.12
Details
Bollinger
Band Projection (param)
LowMiddleHigh
38.9640.0641.17
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Connecticut Light. Your research has to be compared to or analyzed against Connecticut Light's peers to derive any actionable benefits. When done correctly, Connecticut Light'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 Connecticut Light.

Other Forecasting Options for Connecticut Light

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

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

Connecticut Light Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Connecticut Light'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 Connecticut Light's current price.

Connecticut Light Market Strength Events

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

Connecticut Light Risk Indicators

The analysis of Connecticut Light'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 Connecticut Light's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting connecticut pink sheet 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 Connecticut Light

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 Connecticut Light 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 Connecticut Light will appreciate offsetting losses from the drop in the long position's value.

Moving against Connecticut Pink Sheet

  0.35PBCRY Bank Central AsiaPairCorr
  0.34PPERF Bank Mandiri PerseroPairCorr
The ability to find closely correlated positions to Connecticut Light could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Connecticut Light 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 Connecticut Light - 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 The Connecticut Light to buy it.
The correlation of Connecticut Light 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 Connecticut Light moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Connecticut Light 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 Connecticut Light 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 Connecticut Pink Sheet

Connecticut Light financial ratios help investors to determine whether Connecticut Pink Sheet 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 Connecticut with respect to the benefits of owning Connecticut Light security.