Ceylon Cold Stock Forecast - Polynomial Regression
| CCSN0000 | LKR 66.40 0.40 0.61% |
The Polynomial Regression forecasted value of Ceylon Cold Stores on the next trading day is expected to be 67.06 with a mean absolute deviation of 0.67 and the sum of the absolute errors of 41.17. Ceylon Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Ceylon Cold stock prices and determine the direction of Ceylon Cold Stores's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Ceylon Cold's historical fundamentals, such as revenue growth or operating cash flow patterns.
Ceylon |
Ceylon Cold Polynomial Regression Price Forecast For the 14th of December 2024
Given 90 days horizon, the Polynomial Regression forecasted value of Ceylon Cold Stores on the next trading day is expected to be 67.06 with a mean absolute deviation of 0.67, mean absolute percentage error of 0.79, and the sum of the absolute errors of 41.17.Please note that although there have been many attempts to predict Ceylon 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 Ceylon Cold's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Ceylon Cold Stock Forecast Pattern
Ceylon Cold Forecasted Value
In the context of forecasting Ceylon Cold'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. Ceylon Cold's downside and upside margins for the forecasting period are 65.36 and 68.75, respectively. We have considered Ceylon Cold'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.
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 Ceylon Cold stock data series using in forecasting. Note that when a statistical model is used to represent Ceylon Cold 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.| AIC | Akaike Information Criteria | 117.8745 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.6749 |
| MAPE | Mean absolute percentage error | 0.0113 |
| SAE | Sum of the absolute errors | 41.1693 |
Predictive Modules for Ceylon Cold
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ceylon Cold Stores. 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.Other Forecasting Options for Ceylon Cold
For every potential investor in Ceylon, whether a beginner or expert, Ceylon Cold's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Ceylon Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Ceylon. Basic forecasting techniques help filter out the noise by identifying Ceylon Cold's price trends.Ceylon Cold 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 Ceylon Cold stock to make a market-neutral strategy. Peer analysis of Ceylon Cold could also be used in its relative valuation, which is a method of valuing Ceylon Cold by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Ceylon Cold Stores 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 Ceylon Cold'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 Ceylon Cold's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Ceylon Cold Market Strength Events
Market strength indicators help investors to evaluate how Ceylon Cold stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Ceylon Cold shares will generate the highest return on investment. By undertsting and applying Ceylon Cold stock market strength indicators, traders can identify Ceylon Cold Stores entry and exit signals to maximize returns.
Ceylon Cold Risk Indicators
The analysis of Ceylon Cold'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 Ceylon Cold's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ceylon 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.
| Mean Deviation | 1.11 | |||
| Semi Deviation | 0.7252 | |||
| Standard Deviation | 1.74 | |||
| Variance | 3.03 | |||
| Downside Variance | 1.33 | |||
| Semi Variance | 0.5259 | |||
| Expected Short fall | (1.50) |
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.
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Ceylon Cold financial ratios help investors to determine whether Ceylon 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 Ceylon with respect to the benefits of owning Ceylon Cold security.