Alticast (Korea) Market Value
| 085810 Stock | KRW 971.00 4.00 0.41% |
| Symbol | Alticast |
Alticast '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 Alticast'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 Alticast.
| 03/29/2024 |
| 04/28/2024 |
If you would invest 0.00 in Alticast on March 29, 2024 and sell it all today you would earn a total of 0.00 from holding Alticast or generate 0.0% return on investment in Alticast over 30 days. Alticast is related to or competes with DB Financial, Genie Music, SBI Investment, Korean Reinsurance, CU Tech, KTB Investment, and Samick Musical. Alticast Corporation develops software solutions in South Korea More
Alticast 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 Alticast'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 Alticast upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 11.47 | |||
| Value At Risk | (3.03) | |||
| Potential Upside | 2.86 |
Alticast Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alticast's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alticast's standard deviation. In reality, there are many statistical measures that can use Alticast historical prices to predict the future Alticast's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.48) | |||
| Treynor Ratio | 0.5244 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Alticast's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Alticast Backtested Returns
Alticast secures Sharpe Ratio (or Efficiency) of -0.0826, which signifies that the company had a -0.0826% return per unit of risk over the last 3 months. Alticast exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Alticast's Mean Deviation of 1.36, risk adjusted performance of (0.04), and Standard Deviation of 2.26 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.37, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Alticast are expected to decrease at a much lower rate. During the bear market, Alticast is likely to outperform the market. Alticast has an expected return of -0.19%. Please make sure to confirm Alticast total risk alpha, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk , to decide if Alticast performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.1 |
Very weak reverse predictability
Alticast has very weak reverse predictability. Overlapping area represents the amount of predictability between Alticast time series from 29th of March 2024 to 13th of April 2024 and 13th of April 2024 to 28th of April 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 Alticast price movement. The serial correlation of -0.1 indicates that less than 10.0% of current Alticast price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.1 | |
| Spearman Rank Test | 0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 167.17 |
Alticast lagged returns against current returns
Autocorrelation, which is Alticast 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 Alticast's stock expected returns. We can calculate the autocorrelation of Alticast returns to help us make a trade decision. For example, suppose you find that Alticast 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 |
Alticast 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 Alticast stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alticast stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alticast stock over time.
Current vs Lagged Prices |
| Timeline |
Alticast Lagged Returns
When evaluating Alticast's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alticast stock have on its future price. Alticast 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, Alticast autocorrelation shows the relationship between Alticast stock current value and its past values and can show if there is a momentum factor associated with investing in Alticast.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Alticast in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Alticast's short interest history, or implied volatility extrapolated from Alticast options trading.
Thematic Opportunities
Explore Investment Opportunities
Check out Alticast Correlation, Alticast Volatility and Alticast Alpha and Beta module to complement your research on Alticast. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Complementary Tools for Alticast Stock analysis
When running Alticast's price analysis, check to measure Alticast's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Alticast is operating at the current time. Most of Alticast's value examination focuses on studying past and present price action to predict the probability of Alticast's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alticast's price. Additionally, you may evaluate how the addition of Alticast to your portfolios can decrease your overall portfolio volatility.
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Alticast 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.