Correlation Between IDX 30 and Victoria Care

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Can any of the company-specific risk be diversified away by investing in both IDX 30 and Victoria Care at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining IDX 30 and Victoria Care into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between IDX 30 Jakarta and Victoria Care Indonesia, you can compare the effects of market volatilities on IDX 30 and Victoria Care and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in IDX 30 with a short position of Victoria Care. Check out your portfolio center. Please also check ongoing floating volatility patterns of IDX 30 and Victoria Care.

Diversification Opportunities for IDX 30 and Victoria Care

0.28
  Correlation Coefficient

Modest diversification

The 3 months correlation between IDX and Victoria is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding IDX 30 Jakarta and Victoria Care Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Victoria Care Indonesia and IDX 30 is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on IDX 30 Jakarta are associated (or correlated) with Victoria Care. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Victoria Care Indonesia has no effect on the direction of IDX 30 i.e., IDX 30 and Victoria Care go up and down completely randomly.
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Pair Corralation between IDX 30 and Victoria Care

Assuming the 90 days trading horizon IDX 30 Jakarta is expected to under-perform the Victoria Care. In addition to that, IDX 30 is 1.11 times more volatile than Victoria Care Indonesia. It trades about -0.27 of its total potential returns per unit of risk. Victoria Care Indonesia is currently generating about 0.13 per unit of volatility. If you would invest  62,000  in Victoria Care Indonesia on October 8, 2024 and sell it today you would earn a total of  1,500  from holding Victoria Care Indonesia or generate 2.42% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy94.44%
ValuesDaily Returns

IDX 30 Jakarta  vs.  Victoria Care Indonesia

 Performance 
       Timeline  

IDX 30 and Victoria Care Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with IDX 30 and Victoria Care

The main advantage of trading using opposite IDX 30 and Victoria Care positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IDX 30 position performs unexpectedly, Victoria Care 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 Victoria Care will offset losses from the drop in Victoria Care's long position.
The idea behind IDX 30 Jakarta and Victoria Care Indonesia pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.

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