IDX 30 (Indonesia) Market Value

IDX30 Index   447.32  1.42  0.32%   
IDX 30's market value is the price at which a share of IDX 30 trades on a public exchange. It measures the collective expectations of IDX 30 Jakarta investors about its performance. IDX 30 is listed for 447.32 as of the 21st of November 2024. This is a 0.32% down since the beginning of the trading day. The index's open price was 448.74.
With this module, you can estimate the performance of a buy and hold strategy of IDX 30 Jakarta and determine expected loss or profit from investing in IDX 30 over a given investment horizon. Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
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IDX 30 '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 IDX 30's index 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 IDX 30.
0.00
08/23/2024
No Change 0.00  0.0 
In 2 months and 31 days
11/21/2024
0.00
If you would invest  0.00  in IDX 30 on August 23, 2024 and sell it all today you would earn a total of 0.00 from holding IDX 30 Jakarta or generate 0.0% return on investment in IDX 30 over 90 days.

IDX 30 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 IDX 30's index 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 IDX 30 Jakarta upside and downside potential and time the market with a certain degree of confidence.

IDX 30 Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for IDX 30's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IDX 30's standard deviation. In reality, there are many statistical measures that can use IDX 30 historical prices to predict the future IDX 30's volatility.

IDX 30 Jakarta Backtested Returns

IDX 30 Jakarta holds Efficiency (Sharpe) Ratio of -0.12, which attests that the entity had a -0.12% return per unit of standard deviation over the last 3 months. IDX 30 Jakarta exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. The index retains a Market Volatility (i.e., Beta) of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and IDX 30 are completely uncorrelated.

Auto-correlation

    
  -0.22  

Weak reverse predictability

IDX 30 Jakarta has weak reverse predictability. Overlapping area represents the amount of predictability between IDX 30 time series from 23rd of August 2024 to 7th of October 2024 and 7th of October 2024 to 21st 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 IDX 30 Jakarta price movement. The serial correlation of -0.22 indicates that over 22.0% of current IDX 30 price fluctuation can be explain by its past prices.
Correlation Coefficient-0.22
Spearman Rank Test-0.46
Residual Average0.0
Price Variance238.08

IDX 30 Jakarta lagged returns against current returns

Autocorrelation, which is IDX 30 index'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 IDX 30's index expected returns. We can calculate the autocorrelation of IDX 30 returns to help us make a trade decision. For example, suppose you find that IDX 30 has exhibited high autocorrelation historically, and you observe that the index 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  

IDX 30 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 IDX 30 index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IDX 30 index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IDX 30 index over time.
   Current vs Lagged Prices   
       Timeline  

IDX 30 Lagged Returns

When evaluating IDX 30's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IDX 30 index have on its future price. IDX 30 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, IDX 30 autocorrelation shows the relationship between IDX 30 index current value and its past values and can show if there is a momentum factor associated with investing in IDX 30 Jakarta.
   Regressed Prices   
       Timeline  

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