Kaushalya Infrastructure Stock Forecast - Simple Regression

KAUSHALYA   988.25  26.30  2.73%   
The Simple Regression forecasted value of Kaushalya Infrastructure Development on the next trading day is expected to be 936.21 with a mean absolute deviation of 30.44 and the sum of the absolute errors of 1,857. Kaushalya Stock Forecast is based on your current time horizon. Although Kaushalya Infrastructure's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Kaushalya Infrastructure's systematic risk associated with finding meaningful patterns of Kaushalya Infrastructure fundamentals over time.
  
At this time, Kaushalya Infrastructure's Short and Long Term Debt is quite stable compared to the past year. Cash And Equivalents is expected to rise to about 1.8 M this year, although the value of Total Current Liabilities will most likely fall to about 5.5 M.
Simple Regression model is a single variable regression model that attempts to put a straight line through Kaushalya Infrastructure 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.

Kaushalya Infrastructure Simple Regression Price Forecast For the 1st of December

Given 90 days horizon, the Simple Regression forecasted value of Kaushalya Infrastructure Development on the next trading day is expected to be 936.21 with a mean absolute deviation of 30.44, mean absolute percentage error of 1,458, and the sum of the absolute errors of 1,857.
Please note that although there have been many attempts to predict Kaushalya 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 Kaushalya Infrastructure's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Kaushalya Infrastructure Stock Forecast Pattern

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Kaushalya Infrastructure Forecasted Value

In the context of forecasting Kaushalya Infrastructure'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. Kaushalya Infrastructure's downside and upside margins for the forecasting period are 933.97 and 938.45, respectively. We have considered Kaushalya Infrastructure'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
988.25
933.97
Downside
936.21
Expected Value
938.45
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 Kaushalya Infrastructure stock data series using in forecasting. Note that when a statistical model is used to represent Kaushalya Infrastructure 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 Criteria125.3953
BiasArithmetic mean of the errors None
MADMean absolute deviation30.4411
MAPEMean absolute percentage error0.0328
SAESum of the absolute errors1856.9058
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 Kaushalya Infrastructure Development 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 Kaushalya Infrastructure

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kaushalya Infrastructure. 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
986.01988.25990.49
Details
Intrinsic
Valuation
LowRealHigh
805.70807.941,087
Details
Bollinger
Band Projection (param)
LowMiddleHigh
923.81960.30996.80
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Kaushalya Infrastructure. Your research has to be compared to or analyzed against Kaushalya Infrastructure's peers to derive any actionable benefits. When done correctly, Kaushalya Infrastructure'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 Kaushalya Infrastructure.

Other Forecasting Options for Kaushalya Infrastructure

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

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

Kaushalya Infrastructure 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 Kaushalya Infrastructure'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 Kaushalya Infrastructure's current price.

Kaushalya Infrastructure Market Strength Events

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

Kaushalya Infrastructure Risk Indicators

The analysis of Kaushalya Infrastructure'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 Kaushalya Infrastructure's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting kaushalya 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Information on Investing in Kaushalya Stock

Kaushalya Infrastructure financial ratios help investors to determine whether Kaushalya 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 Kaushalya with respect to the benefits of owning Kaushalya Infrastructure security.