CU Tech (Korea) Market Value
376290 Stock | 2,985 25.00 0.83% |
Symbol | 376290 |
CU Tech '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 CU Tech'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 CU Tech.
11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in CU Tech on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding CU Tech Corp or generate 0.0% return on investment in CU Tech over 30 days. CU Tech is related to or competes with SK Hynix, LX Semicon, People Technology, SIMMTECH, and SS TECH. More
CU Tech 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 CU Tech'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 CU Tech Corp upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.21) | |||
Maximum Drawdown | 6.18 | |||
Value At Risk | (2.85) | |||
Potential Upside | 1.62 |
CU Tech Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CU Tech's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CU Tech's standard deviation. In reality, there are many statistical measures that can use CU Tech historical prices to predict the future CU Tech's volatility.Risk Adjusted Performance | (0.08) | |||
Jensen Alpha | (0.13) | |||
Total Risk Alpha | (0.36) | |||
Treynor Ratio | 1.53 |
CU Tech Corp Backtested Returns
CU Tech Corp retains Efficiency (Sharpe Ratio) of -0.082, which signifies that the company had a -0.082% return per unit of price deviation over the last 3 months. CU Tech exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm CU Tech's Market Risk Adjusted Performance of 1.54, variance of 1.65, and Information Ratio of (0.21) to double-check the risk estimate we provide. The firm owns a Beta (Systematic Risk) of -0.0959, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning CU Tech are expected to decrease at a much lower rate. During the bear market, CU Tech is likely to outperform the market. At this point, CU Tech Corp has a negative expected return of -0.11%. Please make sure to confirm CU Tech's coefficient of variation, jensen alpha, and the relationship between the mean deviation and standard deviation , to decide if CU Tech Corp performance from the past will be repeated sooner or later.
Auto-correlation | 0.54 |
Modest predictability
CU Tech Corp has modest predictability. Overlapping area represents the amount of predictability between CU Tech time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st 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 CU Tech Corp price movement. The serial correlation of 0.54 indicates that about 54.0% of current CU Tech price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.54 | |
Spearman Rank Test | 0.35 | |
Residual Average | 0.0 | |
Price Variance | 1188.02 |
CU Tech Corp lagged returns against current returns
Autocorrelation, which is CU Tech 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 CU Tech's stock expected returns. We can calculate the autocorrelation of CU Tech returns to help us make a trade decision. For example, suppose you find that CU Tech 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 |
CU Tech 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 CU Tech stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CU Tech stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CU Tech stock over time.
Current vs Lagged Prices |
Timeline |
CU Tech Lagged Returns
When evaluating CU Tech's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CU Tech stock have on its future price. CU Tech 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, CU Tech autocorrelation shows the relationship between CU Tech stock current value and its past values and can show if there is a momentum factor associated with investing in CU Tech Corp.
Regressed Prices |
Timeline |
Pair Trading with CU Tech
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 CU Tech 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 CU Tech will appreciate offsetting losses from the drop in the long position's value.Moving together with 376290 Stock
0.81 | 108320 | LX Semicon | PairCorr |
0.84 | 064760 | Tokai Carbon Korea | PairCorr |
0.69 | 137400 | People Technology | PairCorr |
0.87 | 166090 | Hana Materials | PairCorr |
Moving against 376290 Stock
The ability to find closely correlated positions to CU Tech could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CU Tech 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 CU Tech - 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 CU Tech Corp to buy it.
The correlation of CU Tech 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 CU Tech moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CU Tech Corp 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 CU Tech 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 376290 Stock
CU Tech financial ratios help investors to determine whether 376290 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 376290 with respect to the benefits of owning CU Tech security.