Home Loan Pink Sheet Forecast - Naive Prediction
| HLFNDelisted Stock | USD 29.50 0.00 0.00% |
The Naive Prediction forecasted value of Home Loan Financial on the next trading day is expected to be 28.89 with a mean absolute deviation of 0.41 and the sum of the absolute errors of 19.40. Home Pink Sheet Forecast is based on your current time horizon.
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Home Loan Naive Prediction Price Forecast For the 4th of December
Given 90 days horizon, the Naive Prediction forecasted value of Home Loan Financial on the next trading day is expected to be 28.89 with a mean absolute deviation of 0.41, mean absolute percentage error of 0.26, and the sum of the absolute errors of 19.40.Please note that although there have been many attempts to predict Home Pink Sheet 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 Home Loan's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Home Loan Pink Sheet Forecast Pattern
| Backtest Home Loan | Home Loan Price Prediction | Buy or Sell Advice |
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Home Loan pink sheet data series using in forecasting. Note that when a statistical model is used to represent Home Loan pink sheet, 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 | 91.044 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.4128 |
| MAPE | Mean absolute percentage error | 0.0133 |
| SAE | Sum of the absolute errors | 19.403 |
Predictive Modules for Home Loan
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Home Loan Financial. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.Home Loan 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 Home Loan pink sheet to make a market-neutral strategy. Peer analysis of Home Loan could also be used in its relative valuation, which is a method of valuing Home Loan by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Home Loan Market Strength Events
Market strength indicators help investors to evaluate how Home Loan pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Home Loan shares will generate the highest return on investment. By undertsting and applying Home Loan pink sheet market strength indicators, traders can identify Home Loan Financial entry and exit signals to maximize returns.
Home Loan Risk Indicators
The analysis of Home Loan'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 Home Loan's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting home pink sheet 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 | 0.7514 | |||
| Standard Deviation | 1.59 | |||
| Variance | 2.52 |
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 Home Loan
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 Home Loan 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 Home Loan will appreciate offsetting losses from the drop in the long position's value.Moving together with Home Pink Sheet
| 0.75 | DB | Deutsche Bank AG Normal Trading | PairCorr |
Moving against Home Pink Sheet
| 0.34 | BY | Byline Bancorp Fiscal Year End 23rd of January 2025 | PairCorr |
| 0.33 | TFC-PI | Truist Financial | PairCorr |
The ability to find closely correlated positions to Home Loan could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Home Loan 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 Home Loan - 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 Home Loan Financial to buy it.
The correlation of Home Loan 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 Home Loan moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Home Loan Financial 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 Home Loan 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 Risk vs Return Analysis 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 census. You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
Other Consideration for investing in Home Pink Sheet
If you are still planning to invest in Home Loan Financial 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 Home Loan's history and understand the potential risks before investing.
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