Great Rich (Korea) Market Value
| 900290 Stock | 3,530 20.00 0.57% |
| Symbol | Great |
Please note, there is a significant difference between Great Rich's value and its price as these two are different measures arrived at by different means. Investors typically determine if Great Rich is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Great Rich's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Great Rich '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 Great Rich'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 Great Rich.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Great Rich on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding Great Rich Technologies or generate 0.0% return on investment in Great Rich over 30 days. Great Rich is related to or competes with Sempio Foods, Hansol Chemical, Kyung In, Tae Kyung, Kukdo Chemical, and Korea Petro. More
Great Rich 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 Great Rich'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 Great Rich Technologies upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 47.03 | |||
| Value At Risk | (11.96) | |||
| Potential Upside | 7.78 |
Great Rich Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Great Rich's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Great Rich's standard deviation. In reality, there are many statistical measures that can use Great Rich historical prices to predict the future Great Rich's volatility.| Risk Adjusted Performance | 0.0065 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (1.05) | |||
| Treynor Ratio | 0.2573 |
Great Rich Technologies Backtested Returns
Great Rich Technologies holds Efficiency (Sharpe) Ratio of -0.003, which attests that the entity had a -0.003% return per unit of risk over the last 3 months. Great Rich Technologies exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Great Rich's Standard Deviation of 6.49, risk adjusted performance of 0.0065, and Market Risk Adjusted Performance of 0.2673 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of -0.11, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Great Rich are expected to decrease at a much lower rate. During the bear market, Great Rich is likely to outperform the market. At this point, Great Rich Technologies has a negative expected return of -0.0195%. Please make sure to check out Great Rich's market risk adjusted performance, coefficient of variation, jensen alpha, as well as the relationship between the mean deviation and standard deviation , to decide if Great Rich Technologies performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.24 |
Weak predictability
Great Rich Technologies has weak predictability. Overlapping area represents the amount of predictability between Great Rich time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th of November 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 Great Rich Technologies price movement. The serial correlation of 0.24 indicates that over 24.0% of current Great Rich price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.24 | |
| Spearman Rank Test | 0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 64.8 K |
Great Rich Technologies lagged returns against current returns
Autocorrelation, which is Great Rich 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 Great Rich's stock expected returns. We can calculate the autocorrelation of Great Rich returns to help us make a trade decision. For example, suppose you find that Great Rich 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 |
Great Rich 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 Great Rich stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Great Rich stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Great Rich stock over time.
Current vs Lagged Prices |
| Timeline |
Great Rich Lagged Returns
When evaluating Great Rich's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Great Rich stock have on its future price. Great Rich 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, Great Rich autocorrelation shows the relationship between Great Rich stock current value and its past values and can show if there is a momentum factor associated with investing in Great Rich Technologies.
Regressed Prices |
| Timeline |
Pair Trading with Great Rich
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 Great Rich 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 Great Rich will appreciate offsetting losses from the drop in the long position's value.Moving against Great Stock
| 0.64 | 124560 | Taewoong Logistics CoLtd | PairCorr |
| 0.35 | 005387 | Hyundai Motor | PairCorr |
| 0.34 | 005385 | Hyundai Motor | PairCorr |
The ability to find closely correlated positions to Great Rich could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Great Rich 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 Great Rich - 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 Great Rich Technologies to buy it.
The correlation of Great Rich 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 Great Rich moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Great Rich 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 Great Rich 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 Great Stock
Great Rich financial ratios help investors to determine whether Great 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 Great with respect to the benefits of owning Great Rich security.