Kansai Electric Pink Sheet Forward View
| KAEPF Stock | USD 16.97 0.97 6.06% |
Kansai Pink Sheet outlook is based on your current time horizon. We suggest always using this module together with an analysis of Kansai Electric's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 7th of February 2026 the relative strength index (rsi) of Kansai Electric's share price is below 20 . This indicates that the pink sheet 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 |
Using Kansai Electric hype-based prediction, you can estimate the value of The Kansai Electric from the perspective of Kansai Electric response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of The Kansai Electric on the next trading day is expected to be 16.23 with a mean absolute deviation of 0.31 and the sum of the absolute errors of 19.40. Kansai Electric after-hype prediction price | USD 16.97 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Kansai |
Kansai Electric Additional Predictive Modules
Most predictive techniques to examine Kansai price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Kansai using various technical indicators. When you analyze Kansai 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Kansai Electric Naive Prediction Price Forecast For the 8th of February
Given 90 days horizon, the Naive Prediction forecasted value of The Kansai Electric on the next trading day is expected to be 16.23 with a mean absolute deviation of 0.31, mean absolute percentage error of 0.19, and the sum of the absolute errors of 19.40.Please note that although there have been many attempts to predict Kansai Pink Sheet prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Kansai Electric's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Kansai Electric Pink Sheet Forecast Pattern
| Backtest Kansai Electric | Kansai Electric Price Prediction | Research Analysis |
Kansai Electric Forecasted Value
In the context of forecasting Kansai Electric's Pink Sheet 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. Kansai Electric's downside and upside margins for the forecasting period are 13.54 and 18.91, respectively. We have considered Kansai Electric'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.
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 Kansai Electric pink sheet data series using in forecasting. Note that when a statistical model is used to represent Kansai Electric 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 | 118.3011 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3129 |
| MAPE | Mean absolute percentage error | 0.0192 |
| SAE | Sum of the absolute errors | 19.4006 |
Predictive Modules for Kansai Electric
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kansai Electric. 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.Kansai Electric After-Hype Price Density Analysis
As far as predicting the price of Kansai Electric at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Kansai Electric or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Pink Sheet prices, such as prices of Kansai Electric, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Kansai Electric Estimiated After-Hype Price Volatility
In the context of predicting Kansai Electric's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Kansai Electric's historical news coverage. Kansai Electric's after-hype downside and upside margins for the prediction period are 14.28 and 19.66, respectively. We have considered Kansai Electric's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Kansai Electric is not too volatile at this time. Analysis and calculation of next after-hype price of Kansai Electric is based on 3 months time horizon.
Kansai Electric Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Kansai Electric is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Kansai Electric backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Pink Sheet price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Kansai Electric, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.17 | 2.69 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Uncertain |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
16.97 | 16.97 | 0.00 |
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Kansai Electric Hype Timeline
Kansai Electric is now traded for 16.97. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Kansai is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is now at 0.17%. %. The volatility of related hype on Kansai Electric is about 0.0%, with the expected price after the next announcement by competition of 16.97. About 16.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 0.62. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Kansai Electric last dividend was issued on the 29th of September 2022. The entity had 101:100 split on the 26th of September 1995. Assuming the 90 days horizon the next projected press release will be uncertain. Check out Historical Fundamental Analysis of Kansai Electric to cross-verify your projections.Kansai Electric Related Hype Analysis
Having access to credible news sources related to Kansai Electric's direct competition is more important than ever and may enhance your ability to predict Kansai Electric's future price movements. Getting to know how Kansai Electric's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Kansai Electric may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CZAVF | CEZ a s | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| CLPXF | China Longyuan Power | 0.00 | 0 per month | 8.14 | 0.18 | 26.32 | (19.54) | 45.86 | |
| TERRF | Terna Rete | 0.00 | 0 per month | 0.00 | 0.06 | 0.00 | 0.00 | 9.32 | |
| HUNGF | Huaneng Power International | 0.00 | 0 per month | 0.00 | (0.1) | 4.17 | (5.00) | 12.07 | |
| SNMRF | Snam SpA | 0.00 | 0 per month | 0.00 | 0.08 | 0.00 | 0.00 | 17.90 | |
| EDRVF | EDP Renovaveis | 0.00 | 0 per month | 0.00 | (0.07) | 0.00 | (0.20) | 10.78 | |
| TNABY | Tenaga Nasional Berhad | 0.00 | 0 per month | 2.24 | 0.07 | 6.61 | (4.49) | 33.33 | |
| CKISF | CK Infrastructure Holdings | 0.00 | 0 per month | 0.00 | (0.01) | 0.00 | 0.00 | 11.57 | |
| TNABF | Tenaga Nasional Berhad | 0.00 | 0 per month | 2.05 | 0.05 | 6.29 | (4.45) | 15.31 | |
| FOJCF | Fortum Oyj | 0.00 | 0 per month | 0.00 | 0.09 | 3.89 | (0.05) | 24.02 |
Other Forecasting Options for Kansai Electric
For every potential investor in Kansai, whether a beginner or expert, Kansai Electric's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Kansai Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Kansai. Basic forecasting techniques help filter out the noise by identifying Kansai Electric's price trends.Kansai Electric 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 Kansai Electric pink sheet to make a market-neutral strategy. Peer analysis of Kansai Electric could also be used in its relative valuation, which is a method of valuing Kansai Electric by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Kansai Electric Market Strength Events
Market strength indicators help investors to evaluate how Kansai Electric 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 Kansai Electric shares will generate the highest return on investment. By undertsting and applying Kansai Electric pink sheet market strength indicators, traders can identify The Kansai Electric entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.06 | |||
| Day Median Price | 16.97 | |||
| Day Typical Price | 16.97 | |||
| Price Action Indicator | 0.48 | |||
| Period Momentum Indicator | 0.97 |
Kansai Electric Risk Indicators
The analysis of Kansai Electric'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 Kansai Electric's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting kansai 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 | 1.06 | |||
| Standard Deviation | 2.59 | |||
| Variance | 6.7 |
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.
Story Coverage note for Kansai Electric
The number of cover stories for Kansai Electric depends on current market conditions and Kansai Electric's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Kansai Electric is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Kansai Electric's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Kansai Electric Short Properties
Kansai Electric's future price predictability will typically decrease when Kansai Electric's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of The Kansai Electric often depends not only on the future outlook of the potential Kansai Electric's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Kansai Electric's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 893.1 M | |
| Cash And Short Term Investments | 469.1 B |
Other Information on Investing in Kansai Pink Sheet
Kansai Electric financial ratios help investors to determine whether Kansai Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Kansai with respect to the benefits of owning Kansai Electric security.