Rohm Co Stock Price Prediction
| ROHCF Stock | USD 9.95 0.00 0.00% |
Oversold Vs Overbought
11
Oversold | Overbought |
Using ROHM hype-based prediction, you can estimate the value of ROHM Co from the perspective of ROHM response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in ROHM to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying ROHM because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell pink sheets at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
ROHM after-hype prediction price | USD 9.95 |
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.
ROHM |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ROHM's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
ROHM After-Hype Price Prediction Density Analysis
As far as predicting the price of ROHM 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 ROHM 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 ROHM, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
ROHM Estimiated After-Hype Price Volatility
In the context of predicting ROHM's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on ROHM's historical news coverage. ROHM's after-hype downside and upside margins for the prediction period are 7.43 and 12.47, respectively. We have considered ROHM'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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
ROHM is not too volatile at this time. Analysis and calculation of next after-hype price of ROHM is based on 3 months time horizon.
ROHM Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as ROHM is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading ROHM 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 ROHM, 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 |
0.35 | 2.52 | 0.00 | 0.08 | 0 Events / Month | 8 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
9.95 | 9.95 | 0.00 |
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ROHM Hype Timeline
ROHM is at this time traded for 9.95. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.08. ROHM is forecasted 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 forecasted to be very small, whereas the daily expected return is at this time at -0.35%. %. The volatility of related hype on ROHM is about 1125.0%, with the expected price after the next announcement by competition of 10.03. About 43.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 1.09. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. ROHM recorded earning per share (EPS) of 6.48. The entity last dividend was issued on the 30th of March 2023. The firm had 6:5 split on the 26th of March 1992. Assuming the 90 days horizon the next forecasted press release will be within a week. Check out ROHM Basic Forecasting Models to cross-verify your projections.ROHM Related Hype Analysis
Having access to credible news sources related to ROHM's direct competition is more important than ever and may enhance your ability to predict ROHM's future price movements. Getting to know how ROHM'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 ROHM may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ON | ON Semiconductor | 1.74 | 10 per month | 0.00 | (0.07) | 3.50 | (4.26) | 11.37 | |
| MPWR | Monolithic Power Systems | (2.13) | 11 per month | 0.00 | (0.20) | 3.68 | (6.62) | 23.31 | |
| NVTS | Navitas Semiconductor Corp | (0.11) | 10 per month | 5.04 | (0.01) | 10.91 | (8.27) | 28.08 | |
| GFS | Globalfoundries | 2.64 | 8 per month | 0.00 | (0.04) | 4.70 | (4.20) | 18.30 | |
| ADI | Analog Devices | 3.76 | 10 per month | 0.00 | (0.09) | 2.90 | (3.05) | 9.32 | |
| AMD | Advanced Micro Devices | (1.36) | 6 per month | 0.00 | (0.07) | 3.96 | (4.00) | 16.31 | |
| AVGO | Broadcom | (0.07) | 9 per month | 2.73 | (0.02) | 3.97 | (3.47) | 14.11 | |
| MU | Micron Technology | 0.28 | 6 per month | 2.95 | (0.01) | 4.60 | (4.19) | 19.00 | |
| INTC | Intel | 0.36 | 8 per month | 2.60 | 0.07 | 6.36 | (3.50) | 18.29 | |
| TSM | Taiwan Semiconductor Manufacturing | (2.87) | 7 per month | 2.33 | 0.01 | 4.13 | (4.21) | 14.10 |
ROHM Additional Predictive Modules
Most predictive techniques to examine ROHM price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for ROHM using various technical indicators. When you analyze ROHM 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 |
About ROHM Predictive Indicators
The successful prediction of ROHM stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as ROHM Co, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of ROHM based on analysis of ROHM hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to ROHM's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to ROHM's related companies.
Story Coverage note for ROHM
The number of cover stories for ROHM depends on current market conditions and ROHM's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that ROHM 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 ROHM'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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ROHM Short Properties
ROHM's future price predictability will typically decrease when ROHM's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of ROHM Co often depends not only on the future outlook of the potential ROHM'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. ROHM's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 98.1 M |
Complementary Tools for ROHM Pink Sheet analysis
When running ROHM's price analysis, check to measure ROHM'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 ROHM is operating at the current time. Most of ROHM's value examination focuses on studying past and present price action to predict the probability of ROHM's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ROHM's price. Additionally, you may evaluate how the addition of ROHM to your portfolios can decrease your overall portfolio volatility.
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