ROHM (Germany) Market Value
| ROM Stock | EUR 8.77 0.37 4.40% |
| 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 stock 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.
| 12/25/2023 |
| 12/19/2024 |
If you would invest 0.00 in ROHM on December 25, 2023 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 360 days. ROHM is related to or competes with Taiwan Semiconductor, Broadcom, Superior Plus, Norsk Hydro, Reliance Steel, RYOHIN UNSPADR1, and Vanguard Funds. ROHM Co., Ltd. manufactures and sells electronic components in Japan, the Americas, Europe, Asia, and internationally 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 stock 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 | (0.08) | |||
| Maximum Drawdown | 11.37 | |||
| Value At Risk | (3.99) | |||
| Potential Upside | 4.07 |
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 | (0.05) | |||
| Jensen Alpha | (0.16) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | (1.84) |
ROHM Backtested Returns
ROHM maintains Sharpe Ratio (i.e., Efficiency) of -0.0653, which implies the firm had a -0.0653% return per unit of volatility over the last 3 months. ROHM exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check ROHM's risk adjusted performance of (0.05), and Coefficient Of Variation of (1,508) to confirm the risk estimate we provide. The company holds a Beta of 0.0857, which implies not very significant fluctuations relative to the market. As returns on the market increase, ROHM's returns are expected to increase less than the market. However, during the bear market, the loss of holding ROHM is expected to be smaller as well. At this point, ROHM has a negative expected return of -0.15%. Please make sure to check ROHM's information ratio, potential upside, rate of daily change, as well as the relationship between the total risk alpha and kurtosis , to decide if ROHM performance from the past will be repeated at future time.
Auto-correlation | 0.74 |
Good predictability
ROHM Co has good predictability. Overlapping area represents the amount of predictability between ROHM time series from 25th of December 2023 to 22nd of June 2024 and 22nd of June 2024 to 19th of December 2024. 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 0.74 indicates that around 74.0% of current ROHM price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 1.93 |
ROHM lagged returns against current returns
Autocorrelation, which is ROHM stock'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 stock 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 stock 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 stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ROHM stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ROHM stock 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 stock 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 stock current value and its past values and can show if there is a momentum factor associated with investing in ROHM Co.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in ROHM Stock
ROHM financial ratios help investors to determine whether ROHM Stock 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.