Mizuho Leasing Stock Forecast - Naive Prediction

LFB Stock   7.70  0.05  0.65%   
The Naive Prediction forecasted value of Mizuho Leasing Company on the next trading day is expected to be 7.68 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 1.78. Investors can use prediction functions to forecast Mizuho Leasing's stock prices and determine the direction of Mizuho Leasing Company'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 Mizuho Leasing's historical fundamentals, such as revenue growth or operating cash flow patterns. 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 employment. As of 11th of January 2026 the value of rsi of Mizuho Leasing's share price is below 20 . This indicates that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Mizuho Leasing's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Mizuho Leasing and does not consider all of the tangible or intangible factors available from Mizuho Leasing's fundamental data. We analyze noise-free headlines and recent hype associated with Mizuho Leasing Company, which may create opportunities for some arbitrage if properly timed.
Using Mizuho Leasing hype-based prediction, you can estimate the value of Mizuho Leasing Company from the perspective of Mizuho Leasing response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Mizuho Leasing Company on the next trading day is expected to be 7.68 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 1.78.

Mizuho Leasing after-hype prediction price

    
  EUR 7.7  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
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 employment.

Mizuho Leasing Additional Predictive Modules

Most predictive techniques to examine Mizuho price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Mizuho using various technical indicators. When you analyze Mizuho charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
A naive forecasting model for Mizuho Leasing is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Mizuho Leasing Company value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Mizuho Leasing Naive Prediction Price Forecast For the 12th of January 2026

Given 90 days horizon, the Naive Prediction forecasted value of Mizuho Leasing Company on the next trading day is expected to be 7.68 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 1.78.
Please note that although there have been many attempts to predict Mizuho 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 Mizuho Leasing's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mizuho Leasing Stock Forecast Pattern

Mizuho Leasing Forecasted Value

In the context of forecasting Mizuho Leasing'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. Mizuho Leasing's downside and upside margins for the forecasting period are 5.62 and 9.75, respectively. We have considered Mizuho Leasing'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
7.70
7.68
Expected Value
9.75
Upside

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 Mizuho Leasing stock data series using in forecasting. Note that when a statistical model is used to represent Mizuho Leasing 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 Criteria49.3364
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0683
MAPEMean absolute percentage error0.009
SAESum of the absolute errors1.7757
This model is not at all useful as a medium-long range forecasting tool of Mizuho Leasing Company. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Mizuho Leasing. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Mizuho Leasing

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Mizuho Leasing. 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.

Other Forecasting Options for Mizuho Leasing

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

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

Mizuho Leasing 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 Mizuho Leasing'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 Mizuho Leasing's current price.

Mizuho Leasing Market Strength Events

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

Mizuho Leasing Risk Indicators

The analysis of Mizuho Leasing'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 Mizuho Leasing's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting mizuho 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.

Currently Active Assets on Macroaxis