Joint Stock Stock Market Value
| KSPI Stock | 85.68 3.42 3.84% |
| Symbol | Joint |
Is Consumer Finance space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Joint Stock. If investors know Joint will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Joint Stock listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Joint Stock is measured differently than its book value, which is the value of Joint that is recorded on the company's balance sheet. Investors also form their own opinion of Joint Stock's value that differs from its market value or its book value, called intrinsic value, which is Joint Stock's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Joint Stock's market value can be influenced by many factors that don't directly affect Joint Stock's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Joint Stock's value and its price as these two are different measures arrived at by different means. Investors typically determine if Joint Stock is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Joint Stock'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.
Joint Stock '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 Joint Stock'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 Joint Stock.
| 04/25/2025 |
| 07/24/2025 |
If you would invest 0.00 in Joint Stock on April 25, 2025 and sell it all today you would earn a total of 0.00 from holding Joint Stock or generate 0.0% return on investment in Joint Stock over 90 days. Joint Stock is related to or competes with Cellebrite, Corpay, Dropbox, Euronet Worldwide, Evolution Gaming, Five9, and Shift4 Payments. More
Joint Stock 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 Joint Stock'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 Joint Stock upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 9.54 | |||
| Value At Risk | (2.53) | |||
| Potential Upside | 2.51 |
Joint Stock Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Joint Stock's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Joint Stock's standard deviation. In reality, there are many statistical measures that can use Joint Stock historical prices to predict the future Joint Stock's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | (0.40) |
Joint Stock Backtested Returns
Joint Stock holds Efficiency (Sharpe) Ratio of -0.0174, which attests that the entity had a -0.0174 % return per unit of risk over the last 3 months. Joint Stock exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Joint Stock's Standard Deviation of 1.96, market risk adjusted performance of (0.39), and Risk Adjusted Performance of (0.01) 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, Joint Stock's returns are expected to increase less than the market. However, during the bear market, the loss of holding Joint Stock is expected to be smaller as well. At this point, Joint Stock has a negative expected return of -0.0341%. Please make sure to check out Joint Stock's maximum drawdown, as well as the relationship between the daily balance of power and period momentum indicator , to decide if Joint Stock performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.09 |
Virtually no predictability
Joint Stock has virtually no predictability. Overlapping area represents the amount of predictability between Joint Stock time series from 25th of April 2025 to 9th of June 2025 and 9th of June 2025 to 24th of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Joint Stock price movement. The serial correlation of 0.09 indicates that less than 9.0% of current Joint Stock price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.09 | |
| Spearman Rank Test | -0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 5.43 |
Joint Stock lagged returns against current returns
Autocorrelation, which is Joint Stock 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 Joint Stock's stock expected returns. We can calculate the autocorrelation of Joint Stock returns to help us make a trade decision. For example, suppose you find that Joint Stock 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 |
Joint Stock 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 Joint Stock stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Joint Stock stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Joint Stock stock over time.
Current vs Lagged Prices |
| Timeline |
Joint Stock Lagged Returns
When evaluating Joint Stock's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Joint Stock stock have on its future price. Joint Stock 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, Joint Stock autocorrelation shows the relationship between Joint Stock stock current value and its past values and can show if there is a momentum factor associated with investing in Joint Stock.
Regressed Prices |
| Timeline |
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Check out Joint Stock Correlation, Joint Stock Volatility and Joint Stock Alpha and Beta module to complement your research on Joint Stock. For more detail on how to invest in Joint Stock please use our How to Invest in Joint Stock guide.You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Joint Stock technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.