MegaStudy (Korea) Market Value
| 072870 Stock | KRW 11,580 90.00 0.78% |
| Symbol | MegaStudy |
MegaStudy '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 MegaStudy'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 MegaStudy.
| 09/19/2024 |
| 12/18/2024 |
If you would invest 0.00 in MegaStudy on September 19, 2024 and sell it all today you would earn a total of 0.00 from holding MegaStudy Co or generate 0.0% return on investment in MegaStudy over 90 days. MegaStudy is related to or competes with Daou Data, Busan Industrial, Sam Chun, Humax, Finebesteel, Shinhan Inverse, and Fine Besteel. Ltd. operates educational institutes for college students and general adults in South Korea More
MegaStudy 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 MegaStudy'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 MegaStudy Co upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5488 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 2.05 | |||
| Value At Risk | (0.79) | |||
| Potential Upside | 0.7833 |
MegaStudy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MegaStudy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MegaStudy's standard deviation. In reality, there are many statistical measures that can use MegaStudy historical prices to predict the future MegaStudy's volatility.| Risk Adjusted Performance | 0.0445 | |||
| Jensen Alpha | 0.0274 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | (0.46) |
MegaStudy Backtested Returns
At this point, MegaStudy is very steady. MegaStudy has Sharpe Ratio of 0.11, which conveys that the firm had a 0.11% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for MegaStudy, which you can use to evaluate the volatility of the firm. Please verify MegaStudy's Mean Deviation of 0.3635, downside deviation of 0.5488, and Risk Adjusted Performance of 0.0445 to check out if the risk estimate we provide is consistent with the expected return of 0.056%. MegaStudy has a performance score of 8 on a scale of 0 to 100. The company secures a Beta (Market Risk) of -0.0528, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning MegaStudy are expected to decrease at a much lower rate. During the bear market, MegaStudy is likely to outperform the market. MegaStudy right now secures a risk of 0.52%. Please verify MegaStudy Co semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation , to decide if MegaStudy Co will be following its current price movements.
Auto-correlation | -0.06 |
Very weak reverse predictability
MegaStudy Co has very weak reverse predictability. Overlapping area represents the amount of predictability between MegaStudy time series from 19th of September 2024 to 3rd of November 2024 and 3rd of November 2024 to 18th 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 MegaStudy price movement. The serial correlation of -0.06 indicates that barely 6.0% of current MegaStudy price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.06 | |
| Spearman Rank Test | 0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 16.3 K |
MegaStudy lagged returns against current returns
Autocorrelation, which is MegaStudy 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 MegaStudy's stock expected returns. We can calculate the autocorrelation of MegaStudy returns to help us make a trade decision. For example, suppose you find that MegaStudy 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 |
MegaStudy 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 MegaStudy stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if MegaStudy stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in MegaStudy stock over time.
Current vs Lagged Prices |
| Timeline |
MegaStudy Lagged Returns
When evaluating MegaStudy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of MegaStudy stock have on its future price. MegaStudy 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, MegaStudy autocorrelation shows the relationship between MegaStudy stock current value and its past values and can show if there is a momentum factor associated with investing in MegaStudy Co.
Regressed Prices |
| Timeline |
Pair Trading with MegaStudy
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 MegaStudy 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 MegaStudy will appreciate offsetting losses from the drop in the long position's value.Moving against MegaStudy Stock
The ability to find closely correlated positions to MegaStudy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace MegaStudy 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 MegaStudy - 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 MegaStudy Co to buy it.
The correlation of MegaStudy 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 MegaStudy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if MegaStudy 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 MegaStudy 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 MegaStudy Stock
MegaStudy financial ratios help investors to determine whether MegaStudy 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 MegaStudy with respect to the benefits of owning MegaStudy security.