Capital Product Stock Forecast - Polynomial Regression
The Polynomial Regression forecasted value of Capital Product Partners on the next trading day is expected to be 8.59 with a mean absolute deviation of 1.36 and the sum of the absolute errors of 82.89. Capital Stock Forecast is based on your current time horizon.
Capital |
Capital Product Polynomial Regression Price Forecast For the 3rd of December
Given 90 days horizon, the Polynomial Regression forecasted value of Capital Product Partners on the next trading day is expected to be 8.59 with a mean absolute deviation of 1.36, mean absolute percentage error of 5.47, and the sum of the absolute errors of 82.89.Please note that although there have been many attempts to predict Capital 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 Capital Product's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Capital Product Stock Forecast Pattern
| Backtest Capital Product | Capital Product Price Prediction | Buy or Sell Advice |
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 Capital Product stock data series using in forecasting. Note that when a statistical model is used to represent Capital Product 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 | 119.8093 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.3588 |
| MAPE | Mean absolute percentage error | 9.223372036854776E14 |
| SAE | Sum of the absolute errors | 82.8866 |
Predictive Modules for Capital Product
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Capital Product Partners. 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.Capital Product 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 Capital Product stock to make a market-neutral strategy. Peer analysis of Capital Product could also be used in its relative valuation, which is a method of valuing Capital Product by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Capital Product Risk Indicators
The analysis of Capital Product'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 Capital Product's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting capital 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 | 1.52 | |||
| Semi Deviation | 2.13 | |||
| Standard Deviation | 2.23 | |||
| Variance | 4.97 | |||
| Downside Variance | 5.28 | |||
| Semi Variance | 4.54 | |||
| Expected Short fall | (1.60) |
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.
Pair Trading with Capital Product
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Capital Product position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Capital Product will appreciate offsetting losses from the drop in the long position's value.Moving against Capital Stock
| 0.57 | WMT | Walmart Aggressive Push | PairCorr |
| 0.51 | DIS | Walt Disney Sell-off Trend | PairCorr |
| 0.48 | AXP | American Express Fiscal Year End 24th of January 2025 | PairCorr |
| 0.45 | BAC | Bank of America Aggressive Push | PairCorr |
| 0.44 | CVX | Chevron Corp Sell-off Trend | PairCorr |
The ability to find closely correlated positions to Capital Product could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Capital Product when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Capital Product - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Capital Product Partners to buy it.
The correlation of Capital Product is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Capital Product moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Capital Product Partners moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Capital Product can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis. You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Other Consideration for investing in Capital Stock
If you are still planning to invest in Capital Product Partners check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Capital Product's history and understand the potential risks before investing.
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