PLAYWITH (Korea) Market Value
| 023770 Stock | KRW 3,745 225.00 6.39% |
| Symbol | PLAYWITH |
PLAYWITH '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 PLAYWITH'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 PLAYWITH.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in PLAYWITH on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding PLAYWITH or generate 0.0% return on investment in PLAYWITH over 30 days. PLAYWITH is related to or competes with AfreecaTV, SS TECH, Busan Industrial, UNISEM, Finebesteel, Fine Besteel, and Hyundai Heavy. PLAYWITH Inc. develops and publishes PC online and mobile games in Korea and internationally More
PLAYWITH 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 PLAYWITH'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 PLAYWITH upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 45.12 | |||
| Value At Risk | (6.63) | |||
| Potential Upside | 3.56 |
PLAYWITH Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PLAYWITH's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PLAYWITH's standard deviation. In reality, there are many statistical measures that can use PLAYWITH historical prices to predict the future PLAYWITH's volatility.| Risk Adjusted Performance | (0.14) | |||
| Jensen Alpha | (1.06) | |||
| Total Risk Alpha | (1.77) | |||
| Treynor Ratio | (1.51) |
PLAYWITH Backtested Returns
PLAYWITH retains Efficiency (Sharpe Ratio) of -0.16, which implies the firm had a -0.16% return per unit of risk over the last 3 months. PLAYWITH exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check PLAYWITH's coefficient of variation of (519.80), and Market Risk Adjusted Performance of (1.50) to confirm the risk estimate we provide. The company owns a Beta (Systematic Risk) of 0.65, which implies possible diversification benefits within a given portfolio. As returns on the market increase, PLAYWITH's returns are expected to increase less than the market. However, during the bear market, the loss of holding PLAYWITH is expected to be smaller as well. At this point, PLAYWITH has a negative expected return of -0.87%. Please make sure to check PLAYWITH'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 PLAYWITH performance from the past will be repeated in the future.
Auto-correlation | -0.84 |
Excellent reverse predictability
PLAYWITH has excellent reverse predictability. Overlapping area represents the amount of predictability between PLAYWITH 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 PLAYWITH price movement. The serial correlation of -0.84 indicates that around 84.0% of current PLAYWITH price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.84 | |
| Spearman Rank Test | -0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 38.1 K |
PLAYWITH lagged returns against current returns
Autocorrelation, which is PLAYWITH 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 PLAYWITH's stock expected returns. We can calculate the autocorrelation of PLAYWITH returns to help us make a trade decision. For example, suppose you find that PLAYWITH 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 |
PLAYWITH 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 PLAYWITH stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PLAYWITH stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PLAYWITH stock over time.
Current vs Lagged Prices |
| Timeline |
PLAYWITH Lagged Returns
When evaluating PLAYWITH's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PLAYWITH stock have on its future price. PLAYWITH 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, PLAYWITH autocorrelation shows the relationship between PLAYWITH stock current value and its past values and can show if there is a momentum factor associated with investing in PLAYWITH.
Regressed Prices |
| Timeline |
Pair Trading with PLAYWITH
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 PLAYWITH 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 PLAYWITH will appreciate offsetting losses from the drop in the long position's value.Moving together with PLAYWITH Stock
Moving against PLAYWITH Stock
The ability to find closely correlated positions to PLAYWITH could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace PLAYWITH 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 PLAYWITH - 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 PLAYWITH to buy it.
The correlation of PLAYWITH 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 PLAYWITH moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if PLAYWITH 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 PLAYWITH 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 PLAYWITH Stock
PLAYWITH financial ratios help investors to determine whether PLAYWITH 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 PLAYWITH with respect to the benefits of owning PLAYWITH security.