PT Kusuma (Indonesia) Market Value
| KKES Stock | 22.00 1.00 4.35% |
| Symbol | KKES |
PT Kusuma '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 PT Kusuma'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 PT Kusuma.
| 09/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in PT Kusuma on September 29, 2024 and sell it all today you would earn a total of 0.00 from holding PT Kusuma Kemindo or generate 0.0% return on investment in PT Kusuma over 60 days. PT Kusuma is related to or competes with PT Dewi, PT Cilacap, PT Arkora, Habco Trans, and Autopedia Sukses. More
PT Kusuma 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 PT Kusuma'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 PT Kusuma Kemindo upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.36) | |||
| Maximum Drawdown | 12.35 | |||
| Value At Risk | (4.35) | |||
| Potential Upside | 3.23 |
PT Kusuma Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PT Kusuma's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PT Kusuma's standard deviation. In reality, there are many statistical measures that can use PT Kusuma historical prices to predict the future PT Kusuma's volatility.| Risk Adjusted Performance | (0.23) | |||
| Jensen Alpha | (0.84) | |||
| Total Risk Alpha | (1.29) | |||
| Treynor Ratio | 3.28 |
PT Kusuma Kemindo Backtested Returns
PT Kusuma Kemindo retains Efficiency (Sharpe Ratio) of -0.3, which implies the firm had a -0.3% return per unit of price deviation over the last 3 months. PT Kusuma exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check PT Kusuma's information ratio of (0.36), and Market Risk Adjusted Performance of 3.29 to confirm the risk estimate we provide. The company owns a Beta (Systematic Risk) of -0.27, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning PT Kusuma are expected to decrease at a much lower rate. During the bear market, PT Kusuma is likely to outperform the market. At this point, PT Kusuma Kemindo has a negative expected return of -0.83%. Please make sure to check PT Kusuma's mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance , to decide if PT Kusuma Kemindo performance from the past will be repeated at some future date.
Auto-correlation | 0.19 |
Very weak predictability
PT Kusuma Kemindo has very weak predictability. Overlapping area represents the amount of predictability between PT Kusuma time series from 29th of September 2024 to 29th of October 2024 and 29th of October 2024 to 28th 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 PT Kusuma Kemindo price movement. The serial correlation of 0.19 indicates that over 19.0% of current PT Kusuma price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.19 | |
| Spearman Rank Test | 0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 2.25 |
PT Kusuma Kemindo lagged returns against current returns
Autocorrelation, which is PT Kusuma 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 PT Kusuma's stock expected returns. We can calculate the autocorrelation of PT Kusuma returns to help us make a trade decision. For example, suppose you find that PT Kusuma 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 |
PT Kusuma 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 PT Kusuma stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PT Kusuma stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PT Kusuma stock over time.
Current vs Lagged Prices |
| Timeline |
PT Kusuma Lagged Returns
When evaluating PT Kusuma's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PT Kusuma stock have on its future price. PT Kusuma 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, PT Kusuma autocorrelation shows the relationship between PT Kusuma stock current value and its past values and can show if there is a momentum factor associated with investing in PT Kusuma Kemindo.
Regressed Prices |
| Timeline |
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PT Kusuma financial ratios help investors to determine whether KKES 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 KKES with respect to the benefits of owning PT Kusuma security.