OFS Credit Stock Forecast - Double Exponential Smoothing

OCCI Stock  USD 7.29  0.05  0.69%   
The Double Exponential Smoothing forecasted value of OFS Credit on the next trading day is expected to be 7.30 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.45. OFS Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of OFS Credit's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
The OFS Credit's current Asset Turnover is estimated to increase to 0.01, while Inventory Turnover is projected to decrease to (0.0002). . The OFS Credit's current Common Stock Shares Outstanding is estimated to increase to about 13.8 M, while Net Loss is forecasted to increase to (11.6 M).
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for OFS Credit works best with periods where there are trends or seasonality.

OFS Credit Double Exponential Smoothing Price Forecast For the 3rd of December

Given 90 days horizon, the Double Exponential Smoothing forecasted value of OFS Credit on the next trading day is expected to be 7.30 with a mean absolute deviation of 0.06, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.45.
Please note that although there have been many attempts to predict OFS 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 OFS Credit's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

OFS Credit Stock Forecast Pattern

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OFS Credit Forecasted Value

In the context of forecasting OFS Credit'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. OFS Credit's downside and upside margins for the forecasting period are 6.27 and 8.33, respectively. We have considered OFS Credit'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
7.29
7.30
Expected Value
8.33
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of OFS Credit stock data series using in forecasting. Note that when a statistical model is used to represent OFS Credit 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 0.007
MADMean absolute deviation0.0585
MAPEMean absolute percentage error0.0082
SAESum of the absolute errors3.4493
When OFS Credit 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 OFS Credit trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent OFS Credit observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for OFS Credit

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as OFS Credit. 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 OFS Credit'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
6.217.248.27
Details
Intrinsic
Valuation
LowRealHigh
7.058.089.11
Details
1 Analysts
Consensus
LowTargetHigh
8.199.009.99
Details

Other Forecasting Options for OFS Credit

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

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 Risk & Return  Correlation

OFS Credit 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 OFS Credit'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 OFS Credit's current price.

OFS Credit Market Strength Events

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

OFS Credit Risk Indicators

The analysis of OFS Credit'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 OFS Credit's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ofs 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.

Currently Active Assets on Macroaxis

When determining whether OFS Credit offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of OFS Credit's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Ofs Credit Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Ofs Credit Stock:
Check out Historical Fundamental Analysis of OFS Credit to cross-verify your projections.
For more detail on how to invest in OFS Stock please use our How to Invest in OFS Credit guide.
You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Is Asset Management & Custody Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of OFS Credit. If investors know OFS will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about OFS Credit listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
4.279
Dividend Share
1.465
Earnings Share
0.68
Revenue Per Share
1.976
Quarterly Revenue Growth
0.031
The market value of OFS Credit is measured differently than its book value, which is the value of OFS that is recorded on the company's balance sheet. Investors also form their own opinion of OFS Credit's value that differs from its market value or its book value, called intrinsic value, which is OFS Credit's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because OFS Credit's market value can be influenced by many factors that don't directly affect OFS Credit's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between OFS Credit's value and its price as these two are different measures arrived at by different means. Investors typically determine if OFS Credit is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, OFS Credit's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.