Asuransi Dayin (Indonesia) Market Value
ASDM Stock | IDR 468.00 2.00 0.43% |
Symbol | Asuransi |
Asuransi Dayin '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 Asuransi Dayin'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 Asuransi Dayin.
03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Asuransi Dayin on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Asuransi Dayin Mitra or generate 0.0% return on investment in Asuransi Dayin over 30 days. Asuransi Dayin is related to or competes with Astra International, United Tractors, Bukit Asam, Indofood Sukses, and Hanjaya Mandala. PT Asuransi Dayin Mitra Tbk provides general insurance products and services More
Asuransi Dayin 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 Asuransi Dayin'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 Asuransi Dayin Mitra upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.09) | |||
Maximum Drawdown | 7.99 | |||
Value At Risk | (1.69) | |||
Potential Upside | 2.47 |
Asuransi Dayin Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Asuransi Dayin's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Asuransi Dayin's standard deviation. In reality, there are many statistical measures that can use Asuransi Dayin historical prices to predict the future Asuransi Dayin's volatility.Risk Adjusted Performance | (0.01) | |||
Jensen Alpha | (0.09) | |||
Total Risk Alpha | (0.23) | |||
Treynor Ratio | (0.06) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Asuransi Dayin'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.
Asuransi Dayin Mitra Backtested Returns
We consider Asuransi Dayin very steady. Asuransi Dayin Mitra secures Sharpe Ratio (or Efficiency) of 0.0128, which signifies that the company had a 0.0128% return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Asuransi Dayin Mitra, which you can use to evaluate the volatility of the firm. Please confirm Asuransi Dayin's Risk Adjusted Performance of (0.01), standard deviation of 1.38, and Mean Deviation of 0.9334 to double-check if the risk estimate we provide is consistent with the expected return of 0.0188%. Asuransi Dayin has a performance score of 1 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.6, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Asuransi Dayin's returns are expected to increase less than the market. However, during the bear market, the loss of holding Asuransi Dayin is expected to be smaller as well. Asuransi Dayin Mitra right now shows a risk of 1.48%. Please confirm Asuransi Dayin Mitra potential upside, kurtosis, and the relationship between the value at risk and skewness , to decide if Asuransi Dayin Mitra will be following its price patterns.
Auto-correlation | -0.11 |
Insignificant reverse predictability
Asuransi Dayin Mitra has insignificant reverse predictability. Overlapping area represents the amount of predictability between Asuransi Dayin time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Asuransi Dayin Mitra price movement. The serial correlation of -0.11 indicates that less than 11.0% of current Asuransi Dayin price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.11 | |
Spearman Rank Test | 0.61 | |
Residual Average | 0.0 | |
Price Variance | 55.67 |
Asuransi Dayin Mitra lagged returns against current returns
Autocorrelation, which is Asuransi Dayin 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 Asuransi Dayin's stock expected returns. We can calculate the autocorrelation of Asuransi Dayin returns to help us make a trade decision. For example, suppose you find that Asuransi Dayin 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 |
Asuransi Dayin 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 Asuransi Dayin stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Asuransi Dayin stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Asuransi Dayin stock over time.
Current vs Lagged Prices |
Timeline |
Asuransi Dayin Lagged Returns
When evaluating Asuransi Dayin's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Asuransi Dayin stock have on its future price. Asuransi Dayin 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, Asuransi Dayin autocorrelation shows the relationship between Asuransi Dayin stock current value and its past values and can show if there is a momentum factor associated with investing in Asuransi Dayin Mitra.
Regressed Prices |
Timeline |
Pair Trading with Asuransi Dayin
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 Asuransi Dayin 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 Asuransi Dayin will appreciate offsetting losses from the drop in the long position's value.Moving against Asuransi Stock
0.62 | SINI | Singaraja Putra | PairCorr |
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0.51 | UANG | Pt Pakuan Tbk | PairCorr |
0.49 | DMMX | Digital Mediatama Maxima | PairCorr |
The ability to find closely correlated positions to Asuransi Dayin could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Asuransi Dayin 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 Asuransi Dayin - 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 Asuransi Dayin Mitra to buy it.
The correlation of Asuransi Dayin 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 Asuransi Dayin moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Asuransi Dayin Mitra 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 Asuransi Dayin 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.Check out Asuransi Dayin Correlation, Asuransi Dayin Volatility and Asuransi Dayin Alpha and Beta module to complement your research on Asuransi Dayin. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Complementary Tools for Asuransi Stock analysis
When running Asuransi Dayin's price analysis, check to measure Asuransi Dayin'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 Asuransi Dayin is operating at the current time. Most of Asuransi Dayin's value examination focuses on studying past and present price action to predict the probability of Asuransi Dayin's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Asuransi Dayin's price. Additionally, you may evaluate how the addition of Asuransi Dayin to your portfolios can decrease your overall portfolio volatility.
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Asuransi Dayin 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.