ProShares Short Etf Forward View - Triple Exponential Smoothing
| DOG Etf | USD 24.91 0.23 0.93% |
The forecast reference data for ProShares Short on this page is generated using Triple Exponential Smoothing applied to historical price observations. Projected values and error measures are included as reference material.
The Triple Exponential Smoothing forecasted value of ProShares Short Dow30 on the next trading day is expected to be 24.94 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 9.04.As with simple exponential smoothing, in triple exponential smoothing models past ProShares Short 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 ProShares Short Dow30 observations. The Triple Exponential Smoothing reference values for ProShares Short are derived from publicly available price data and should be used for informational purposes only. Triple Exponential Smoothing Price Forecast For the 21st of March
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of ProShares Short Dow30 on the next trading day is expected to be 24.94 with a mean absolute deviation of 0.15 , mean absolute percentage error of 0.04 , and the sum of the absolute errors of 9.04 .Please note that although there have been many attempts to predict ProShares Etf prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that ProShares Short's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Etf Forecast Pattern
| Backtest ProShares Short | ProShares Short Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for ProShares Short Dow30 uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
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 ProShares Short etf data series using in forecasting. Note that when a statistical model is used to represent ProShares Short etf, 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 | -0.038 |
| MAD | Mean absolute deviation | 0.1532 |
| MAPE | Mean absolute percentage error | 0.0066 |
| SAE | Sum of the absolute errors | 9.0405 |
Other Forecasting Options for ProShares Short
Investors at all stages of experience who consider ProShares must develop an understanding of ProShares Short's price dynamics. The noise embedded in ProShares Etf price charts can create misleading signals and skew investment decisions.ProShares Short Related Equities
The following equities are related to ProShares Short within the Trading--Inverse Equity space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing ProShares Short against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
ProShares Short Market Strength Events
Market strength indicators applied to ProShares Short etf give investors a structured view of the security's momentum relative to the overall market. Using these indicators, traders can refine their timing when entering or exiting positions in ProShares Short Dow30.
ProShares Short Risk Indicators
Evaluating ProShares Short's risk indicators is an important step in accurately forecasting its price and assessing the suitability of an investment. Understanding the risk profile of ProShares Short's allows investors to make more informed decisions about position sizing and risk.
| Mean Deviation | 0.6159 | |||
| Semi Deviation | 0.5777 | |||
| Standard Deviation | 0.7939 | |||
| Variance | 0.6302 | |||
| Downside Variance | 0.5314 | |||
| Semi Variance | 0.3338 | |||
| Expected Short fall | -0.75 |
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.
Story Coverage note for ProShares Short
A coverage review of ProShares Short Dow30 shows when the security is attracting above-average attention from contributors and market observers. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.
Other Macroaxis Stories
Macroaxis publishes story content for a diverse readership that includes finance students, independent investors, money managers, and market-focused operating teams. What connects that audience is a focus on building stronger portfolios through better research, risk awareness, and comparative analysis.
Story Categories
Currently Trending Categories
More Resources for ProShares Etf Analysis
A structured review of ProShares Short Dow30 begins with its financial statements and overall trends. These ratios help explain how earnings, efficiency, and value creation are connected. Values are derived from ProShares Short's disclosed financial information.Historical Fundamental Analysis of ProShares Short offers a historical basis for evaluating projection assumptions about ProShares Short. Fundamental trends over prior periods offer a reference for evaluating ProShares Short's projections. Cross-verification against historical data is most useful when the underlying business is stable. This analysis of ProShares Short works best as a complementary layer when evaluating how the security fits in a broader portfolio. ProShares Short peer comparison and risk tools below help frame relative strengths and weaknesses. You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.
Market capitalization and book value offer complementary views of ProShares Short Dow30 - the first driven by investor sentiment, the second by accounting standards. Estimated intrinsic value for ProShares Short draws on fundamentals that market price alone does not fully capture.
For ProShares Short, intrinsic value is a model-driven estimate while price is a market-driven observation. Key considerations include profitability trends, debt levels, and industry-relative metrics. ProShares Short's market price is the outcome of continuous interaction between buyers and sellers. All metrics are derived from available inputs and shown for reference.