Lotte Rental Stock Forecast - 8 Period Moving Average

089860 Stock   29,250  600.00  2.01%   
The 8 Period Moving Average forecasted value of Lotte Rental Co on the next trading day is expected to be 29,750 with a mean absolute deviation of 683.96 and the sum of the absolute errors of 36,250. Investors can use prediction functions to forecast Lotte Rental's stock prices and determine the direction of Lotte Rental Co's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of Lotte Rental's historical fundamentals, such as revenue growth or operating cash flow patterns. 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 nation.
  
An 8-period moving average forecast model for Lotte Rental is based on an artificially constructed time series of Lotte Rental daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Lotte Rental 8 Period Moving Average Price Forecast For the 11th of January 2025

Given 90 days horizon, the 8 Period Moving Average forecasted value of Lotte Rental Co on the next trading day is expected to be 29,750 with a mean absolute deviation of 683.96, mean absolute percentage error of 862,208, and the sum of the absolute errors of 36,250.
Please note that although there have been many attempts to predict Lotte 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 Lotte Rental's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Lotte Rental Stock Forecast Pattern

Lotte Rental Forecasted Value

In the context of forecasting Lotte Rental'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. Lotte Rental's downside and upside margins for the forecasting period are 29,748 and 29,752, respectively. We have considered Lotte Rental'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
29,250
29,748
Downside
29,750
Expected Value
29,752
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Lotte Rental stock data series using in forecasting. Note that when a statistical model is used to represent Lotte Rental 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 Criteria117.0747
BiasArithmetic mean of the errors -25.7075
MADMean absolute deviation683.9623
MAPEMean absolute percentage error0.0224
SAESum of the absolute errors36250.0
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Lotte Rental Co 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Lotte Rental

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Lotte Rental. 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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Lotte Rental. Your research has to be compared to or analyzed against Lotte Rental's peers to derive any actionable benefits. When done correctly, Lotte Rental's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Lotte Rental.

Other Forecasting Options for Lotte Rental

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

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

Lotte Rental 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 Lotte Rental'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 Lotte Rental's current price.

Lotte Rental Market Strength Events

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

Lotte Rental Risk Indicators

The analysis of Lotte Rental'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 Lotte Rental's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting lotte 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 Lotte Rental

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 Lotte Rental 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 Lotte Rental will appreciate offsetting losses from the drop in the long position's value.

Moving against Lotte Stock

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