Rohm Co Stock Market Value
| ROHCF Stock | USD 9.20 0.00 0.00% |
| Symbol | ROHM |
ROHM 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to ROHM's pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of ROHM.
| 08/05/2024 |
| 02/01/2025 |
If you would invest 0.00 in ROHM on August 5, 2024 and sell it all today you would earn a total of 0.00 from holding ROHM Co or generate 0.0% return on investment in ROHM over 180 days. ROHM is related to or competes with ON Semiconductor, Monolithic Power, Navitas Semiconductor, Globalfoundries, Analog Devices, Advanced Micro, and Broadcom. ROHM Co., Ltd. manufactures and sells electronic components worldwide More
ROHM Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure ROHM's pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess ROHM Co upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 9.45 |
ROHM Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ROHM's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ROHM's standard deviation. In reality, there are many statistical measures that can use ROHM historical prices to predict the future ROHM's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.28) | |||
| Treynor Ratio | 10.36 |
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 Backtested Returns
ROHM maintains Sharpe Ratio (i.e., Efficiency) of -0.12, which implies the firm had a -0.12 % return per unit of volatility over the last 3 months. ROHM exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check ROHM's coefficient of variation of (878.08), and Risk Adjusted Performance of (0.09) to confirm the risk estimate we provide. The company holds a Beta of -0.0143, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning ROHM are expected to decrease at a much lower rate. During the bear market, ROHM is likely to outperform the market. At this point, ROHM has a negative expected return of -0.15%. Please make sure to check ROHM's treynor ratio, as well as the relationship between the kurtosis and day typical price , to decide if ROHM performance from the past will be repeated at future time.
Auto-correlation | 0.96 |
Excellent predictability
ROHM Co has excellent predictability. Overlapping area represents the amount of predictability between ROHM time series from 5th of August 2024 to 3rd of November 2024 and 3rd of November 2024 to 1st of February 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of ROHM price movement. The serial correlation of 0.96 indicates that 96.0% of current ROHM price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.96 | |
| Spearman Rank Test | 0.86 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
ROHM lagged returns against current returns
Autocorrelation, which is ROHM pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting ROHM's pink sheet expected returns. We can calculate the autocorrelation of ROHM returns to help us make a trade decision. For example, suppose you find that ROHM has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
ROHM regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If ROHM pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ROHM pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ROHM pink sheet over time.
Current vs Lagged Prices |
| Timeline |
ROHM Lagged Returns
When evaluating ROHM's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ROHM pink sheet have on its future price. ROHM autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, ROHM autocorrelation shows the relationship between ROHM pink sheet current value and its past values and can show if there is a momentum factor associated with investing in ROHM Co.
Regressed Prices |
| Timeline |
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Other Information on Investing in ROHM Pink Sheet
ROHM financial ratios help investors to determine whether ROHM 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 ROHM with respect to the benefits of owning ROHM security.