Viatron Technologies (Korea) Market Value
| 141000 Stock | KRW 6,620 10.00 0.15% |
| Symbol | Viatron |
Viatron Technologies '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 Viatron Technologies' 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 Viatron Technologies.
| 12/01/2022 |
| 09/21/2024 |
If you would invest 0.00 in Viatron Technologies on December 1, 2022 and sell it all today you would earn a total of 0.00 from holding Viatron Technologies or generate 0.0% return on investment in Viatron Technologies over 660 days. Viatron Technologies is related to or competes with Samsung Electronics, KB Financial, SK Hynix, Daiyang Metal, AurosTechnology, Busan Industrial, and Jeju Bank. Viatron Technologies, Inc. manufactures and sells next generation display equipment in South Korea and internationally More
Viatron Technologies 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 Viatron Technologies' 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 Viatron Technologies upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 15.61 | |||
| Value At Risk | (2.98) | |||
| Potential Upside | 2.3 |
Viatron Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Viatron Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Viatron Technologies' standard deviation. In reality, there are many statistical measures that can use Viatron Technologies historical prices to predict the future Viatron Technologies' volatility.| Risk Adjusted Performance | (0.10) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | (0.64) | |||
| Treynor Ratio | 2.12 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Viatron Technologies' 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.
Viatron Technologies Backtested Returns
Viatron Technologies owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.13, which indicates the firm had a -0.13% return per unit of risk over the last 3 months. Viatron Technologies exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Viatron Technologies' Risk Adjusted Performance of (0.10), coefficient of variation of (737.62), and Variance of 5.12 to confirm the risk estimate we provide. The entity has a beta of -0.15, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Viatron Technologies are expected to decrease at a much lower rate. During the bear market, Viatron Technologies is likely to outperform the market. At this point, Viatron Technologies has a negative expected return of -0.31%. Please make sure to validate Viatron Technologies' coefficient of variation, jensen alpha, and the relationship between the mean deviation and standard deviation , to decide if Viatron Technologies performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.35 |
Below average predictability
Viatron Technologies has below average predictability. Overlapping area represents the amount of predictability between Viatron Technologies time series from 1st of December 2022 to 27th of October 2023 and 27th of October 2023 to 21st of September 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 Viatron Technologies price movement. The serial correlation of 0.35 indicates that nearly 35.0% of current Viatron Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.35 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 374.4 K |
Viatron Technologies lagged returns against current returns
Autocorrelation, which is Viatron Technologies 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 Viatron Technologies' stock expected returns. We can calculate the autocorrelation of Viatron Technologies returns to help us make a trade decision. For example, suppose you find that Viatron Technologies 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 |
Viatron Technologies 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 Viatron Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Viatron Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Viatron Technologies stock over time.
Current vs Lagged Prices |
| Timeline |
Viatron Technologies Lagged Returns
When evaluating Viatron Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Viatron Technologies stock have on its future price. Viatron Technologies 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, Viatron Technologies autocorrelation shows the relationship between Viatron Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in Viatron Technologies.
Regressed Prices |
| Timeline |
Pair Trading with Viatron Technologies
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Viatron Technologies position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Viatron Technologies will appreciate offsetting losses from the drop in the long position's value.Moving together with Viatron Stock
The ability to find closely correlated positions to Viatron Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Viatron Technologies when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Viatron Technologies - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Viatron Technologies to buy it.
The correlation of Viatron Technologies is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Viatron Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Viatron Technologies moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Viatron Technologies can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Viatron Stock
Viatron Technologies financial ratios help investors to determine whether Viatron 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 Viatron with respect to the benefits of owning Viatron Technologies security.