KGHM Polska Pink Sheet Forecast - Polynomial Regression
| KGHPFDelisted Stock | USD 38.89 0.00 0.00% |
The Polynomial Regression forecasted value of KGHM Polska Miedz on the next trading day is expected to be 37.30 with a mean absolute deviation of 1.85 and the sum of the absolute errors of 112.91. KGHM Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of KGHM Polska's historical fundamentals, such as revenue growth or operating cash flow patterns.
KGHM |
KGHM Polska Polynomial Regression Price Forecast For the 1st of December
Given 90 days horizon, the Polynomial Regression forecasted value of KGHM Polska Miedz on the next trading day is expected to be 37.30 with a mean absolute deviation of 1.85, mean absolute percentage error of 6.86, and the sum of the absolute errors of 112.91.Please note that although there have been many attempts to predict KGHM 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 KGHM Polska's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
KGHM Polska Pink Sheet Forecast Pattern
| Backtest KGHM Polska | KGHM Polska 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 KGHM Polska pink sheet data series using in forecasting. Note that when a statistical model is used to represent KGHM Polska 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 | 120.0362 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.8509 |
| MAPE | Mean absolute percentage error | 0.0585 |
| SAE | Sum of the absolute errors | 112.9056 |
Predictive Modules for KGHM Polska
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as KGHM Polska Miedz. 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.View KGHM Polska Related Equities
| Risk & Return | Correlation |
KGHM Polska Market Strength Events
Market strength indicators help investors to evaluate how KGHM Polska 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 KGHM Polska shares will generate the highest return on investment. By undertsting and applying KGHM Polska pink sheet market strength indicators, traders can identify KGHM Polska Miedz entry and exit signals to maximize returns.
KGHM Polska Risk Indicators
The analysis of KGHM Polska'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 KGHM Polska's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting kghm 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 | 2.08 | |||
| Semi Deviation | 2.01 | |||
| Standard Deviation | 4.33 | |||
| Variance | 18.77 | |||
| Downside Variance | 43.95 | |||
| Semi Variance | 4.02 | |||
| Expected Short fall | (7.39) |
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
Check out Correlation 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 american community survey. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Other Consideration for investing in KGHM Pink Sheet
If you are still planning to invest in KGHM Polska Miedz 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 KGHM Polska's history and understand the potential risks before investing.
| Economic Indicators Top statistical indicators that provide insights into how an economy is performing | |
| Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
| Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
| Money Managers Screen money managers from public funds and ETFs managed around the world | |
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |