Hongli Group Stock Forecast - Triple Exponential Smoothing

HLP Stock   1.42  0.03  2.07%   
The Triple Exponential Smoothing forecasted value of Hongli Group Ordinary on the next trading day is expected to be 1.43 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.07. Hongli Stock Forecast is based on your current time horizon. Although Hongli Group's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Hongli Group's systematic risk associated with finding meaningful patterns of Hongli Group fundamentals over time.
  
As of 12/11/2024, Inventory Turnover is likely to grow to 5.51. Also, Payables Turnover is likely to grow to 8.00. As of 12/11/2024, Common Stock Shares Outstanding is likely to drop to about 9.6 M. In addition to that, Net Income Applicable To Common Shares is likely to drop to about 2.9 M.
Triple exponential smoothing for Hongli Group - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Hongli Group prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Hongli Group price movement. However, neither of these exponential smoothing models address any seasonality of Hongli Group Ordinary.

Hongli Group Triple Exponential Smoothing Price Forecast For the 12th of December 2024

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Hongli Group Ordinary on the next trading day is expected to be 1.43 with a mean absolute deviation of 0.05, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.07.
Please note that although there have been many attempts to predict Hongli 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 Hongli Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Hongli Group Stock Forecast Pattern

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Hongli Group Forecasted Value

In the context of forecasting Hongli Group'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. Hongli Group's downside and upside margins for the forecasting period are 0.01 and 6.45, respectively. We have considered Hongli Group'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.
Market Value
1.42
1.43
Expected Value
6.45
Upside

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 Hongli Group stock data series using in forecasting. Note that when a statistical model is used to represent Hongli Group 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.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors 0.0031
MADMean absolute deviation0.0521
MAPEMean absolute percentage error0.0391
SAESum of the absolute errors3.0724
As with simple exponential smoothing, in triple exponential smoothing models past Hongli Group 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 Hongli Group Ordinary observations.

Predictive Modules for Hongli Group

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hongli Group Ordinary. 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.
Hype
Prediction
LowEstimatedHigh
0.071.426.40
Details
Intrinsic
Valuation
LowRealHigh
0.061.226.20
Details

Other Forecasting Options for Hongli Group

For every potential investor in Hongli, whether a beginner or expert, Hongli Group's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Hongli Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Hongli. Basic forecasting techniques help filter out the noise by identifying Hongli Group's price trends.

Hongli Group 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 Hongli Group stock to make a market-neutral strategy. Peer analysis of Hongli Group could also be used in its relative valuation, which is a method of valuing Hongli Group by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Hongli Group Ordinary 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 Hongli Group'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 Hongli Group's current price.

Hongli Group Market Strength Events

Market strength indicators help investors to evaluate how Hongli Group stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Hongli Group shares will generate the highest return on investment. By undertsting and applying Hongli Group stock market strength indicators, traders can identify Hongli Group Ordinary entry and exit signals to maximize returns.

Hongli Group Risk Indicators

The analysis of Hongli Group'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 Hongli Group's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hongli 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.
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 Hongli Group

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 Hongli Group 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 Hongli Group will appreciate offsetting losses from the drop in the long position's value.

Moving against Hongli Stock

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The ability to find closely correlated positions to Hongli Group could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Hongli Group 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 Hongli Group - 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 Hongli Group Ordinary to buy it.
The correlation of Hongli Group 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 Hongli Group moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Hongli Group Ordinary 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 Hongli Group 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.
Pair CorrelationCorrelation Matching

Additional Tools for Hongli Stock Analysis

When running Hongli Group's price analysis, check to measure Hongli Group's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Hongli Group is operating at the current time. Most of Hongli Group's value examination focuses on studying past and present price action to predict the probability of Hongli Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hongli Group's price. Additionally, you may evaluate how the addition of Hongli Group to your portfolios can decrease your overall portfolio volatility.