Coffee Day Stock Forecast - Triple Exponential Smoothing

COFFEEDAY   29.27  1.55  5.03%   
The Triple Exponential Smoothing forecasted value of Coffee Day Enterprises on the next trading day is expected to be 29.06 with a mean absolute deviation of 0.64 and the sum of the absolute errors of 37.93. Coffee Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Coffee Day stock prices and determine the direction of Coffee Day Enterprises's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Coffee Day's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At present, Coffee Day's Other Current Liabilities is projected to increase significantly based on the last few years of reporting. The current year's Total Current Liabilities is expected to grow to about 23.7 B, whereas Total Stockholder Equity is forecasted to decline to about 26.4 B.
Triple exponential smoothing for Coffee Day - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Coffee Day prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Coffee Day price movement. However, neither of these exponential smoothing models address any seasonality of Coffee Day Enterprises.

Coffee Day Triple Exponential Smoothing Price Forecast For the 30th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Coffee Day Enterprises on the next trading day is expected to be 29.06 with a mean absolute deviation of 0.64, mean absolute percentage error of 0.82, and the sum of the absolute errors of 37.93.
Please note that although there have been many attempts to predict Coffee 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 Coffee Day's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Coffee Day Stock Forecast Pattern

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Coffee Day Forecasted Value

In the context of forecasting Coffee Day'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. Coffee Day's downside and upside margins for the forecasting period are 26.49 and 31.64, respectively. We have considered Coffee Day'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
29.27
29.06
Expected Value
31.64
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Coffee Day stock data series using in forecasting. Note that when a statistical model is used to represent Coffee Day 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 CriteriaHuge
BiasArithmetic mean of the errors -0.1084
MADMean absolute deviation0.6428
MAPEMean absolute percentage error0.019
SAESum of the absolute errors37.9251
As with simple exponential smoothing, in triple exponential smoothing models past Coffee Day observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Coffee Day Enterprises observations.

Predictive Modules for Coffee Day

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Coffee Day Enterprises. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Coffee Day'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
26.6929.2731.85
Details
Intrinsic
Valuation
LowRealHigh
24.0126.5932.20
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.800.870.93
Details

Other Forecasting Options for Coffee Day

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

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

Coffee Day Enterprises 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 Coffee Day'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 Coffee Day's current price.

Coffee Day Market Strength Events

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

Coffee Day Risk Indicators

The analysis of Coffee Day'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 Coffee Day's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting coffee 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 Coffee Stock

Coffee Day financial ratios help investors to determine whether Coffee 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 Coffee with respect to the benefits of owning Coffee Day security.