TFS Financial Stock Forecast - Double Exponential Smoothing
| TFSL Stock | USD 12.52 0.27 2.20% |
The Double Exponential Smoothing forecasted value of TFS Financial on the next trading day is expected to be 12.50 with a mean absolute deviation of 0.16 and the sum of the absolute errors of 9.16. TFS Stock Forecast is based on your current time horizon. Although TFS Financial's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of TFS Financial's systematic risk associated with finding meaningful patterns of TFS Financial fundamentals over time.
TFS |
Open Interest Against 2024-06-21 TFS Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast TFS Financial's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in TFS Financial's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for TFS Financial stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current TFS Financial's open interest, investors have to compare it to TFS Financial's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of TFS Financial is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in TFS. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in TFS Financial cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the TFS Financial's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets TFS Financial's price structures and extracts relationships that further increase the generated results' accuracy.
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 TFS Financial works best with periods where there are trends or seasonality. TFS Financial Double Exponential Smoothing Price Forecast For the 13th of June 2024
Given 90 days horizon, the Double Exponential Smoothing forecasted value of TFS Financial on the next trading day is expected to be 12.50 with a mean absolute deviation of 0.16, mean absolute percentage error of 0.04, and the sum of the absolute errors of 9.16.Please note that although there have been many attempts to predict TFS 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 TFS Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
TFS Financial Stock Forecast Pattern
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TFS Financial Forecasted Value
In the context of forecasting TFS Financial'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. TFS Financial's downside and upside margins for the forecasting period are 10.90 and 14.11, respectively. We have considered TFS Financial'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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of TFS Financial stock data series using in forecasting. Note that when a statistical model is used to represent TFS Financial 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 | Huge |
| Bias | Arithmetic mean of the errors | -0.0285 |
| MAD | Mean absolute deviation | 0.1553 |
| MAPE | Mean absolute percentage error | 0.0126 |
| SAE | Sum of the absolute errors | 9.1624 |
Predictive Modules for TFS Financial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as TFS Financial. 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 TFS Financial'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.
Other Forecasting Options for TFS Financial
For every potential investor in TFS, whether a beginner or expert, TFS Financial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. TFS Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in TFS. Basic forecasting techniques help filter out the noise by identifying TFS Financial's price trends.View TFS Financial Related Equities
| Risk & Return | Correlation |
TFS Financial 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 TFS Financial'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 TFS Financial's current price.| Cycle Indicators | ||
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| Momentum Indicators | ||
| Overlap Studies | ||
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TFS Financial Market Strength Events
Market strength indicators help investors to evaluate how TFS Financial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading TFS Financial shares will generate the highest return on investment. By undertsting and applying TFS Financial stock market strength indicators, traders can identify TFS Financial entry and exit signals to maximize returns.
| Accumulation Distribution | 7174.76 | |||
| Daily Balance Of Power | 0.931 | |||
| Rate Of Daily Change | 1.02 | |||
| Day Median Price | 12.53 | |||
| Day Typical Price | 12.52 | |||
| Price Action Indicator | 0.13 | |||
| Period Momentum Indicator | 0.27 |
TFS Financial Risk Indicators
The analysis of TFS Financial'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 TFS Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting tfs 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 | 1.17 | |||
| Semi Deviation | 1.33 | |||
| Standard Deviation | 1.6 | |||
| Variance | 2.55 | |||
| Downside Variance | 1.9 | |||
| Semi Variance | 1.77 | |||
| Expected Short fall | (1.40) |
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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Additional Information and Resources on Investing in TFS Stock
When determining whether TFS Financial is a strong investment it is important to analyze TFS Financial's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact TFS Financial's future performance. For an informed investment choice regarding TFS Stock, refer to the following important reports:Check out Historical Fundamental Analysis of TFS Financial to cross-verify your projections. For more information on how to buy TFS Stock please use our How to buy in TFS Stock guide.You can also try the Stocks Directory module to find actively traded stocks across global markets.
Is Regional 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 TFS Financial. If investors know TFS 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 TFS Financial 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 0.251 | Dividend Share 1.13 | Earnings Share 0.28 | Revenue Per Share 1.095 | Quarterly Revenue Growth 0.033 |
The market value of TFS Financial is measured differently than its book value, which is the value of TFS that is recorded on the company's balance sheet. Investors also form their own opinion of TFS Financial's value that differs from its market value or its book value, called intrinsic value, which is TFS Financial'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 TFS Financial's market value can be influenced by many factors that don't directly affect TFS Financial'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 TFS Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if TFS Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, TFS Financial'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.