Correlation Between SBI Insurance and Bank of Montreal

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Can any of the company-specific risk be diversified away by investing in both SBI Insurance and Bank of Montreal 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 SBI Insurance and Bank of Montreal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SBI Insurance Group and Bank of Montreal, you can compare the effects of market volatilities on SBI Insurance and Bank of Montreal 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 SBI Insurance with a short position of Bank of Montreal. Check out your portfolio center. Please also check ongoing floating volatility patterns of SBI Insurance and Bank of Montreal.

Diversification Opportunities for SBI Insurance and Bank of Montreal

0.33
  Correlation Coefficient

Weak diversification

The 3 months correlation between SBI and Bank is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding SBI Insurance Group and Bank of Montreal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of Montreal and SBI Insurance 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 SBI Insurance Group are associated (or correlated) with Bank of Montreal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of Montreal has no effect on the direction of SBI Insurance i.e., SBI Insurance and Bank of Montreal go up and down completely randomly.

Pair Corralation between SBI Insurance and Bank of Montreal

Assuming the 90 days trading horizon SBI Insurance is expected to generate 1.45 times less return on investment than Bank of Montreal. In addition to that, SBI Insurance is 1.43 times more volatile than Bank of Montreal. It trades about 0.02 of its total potential returns per unit of risk. Bank of Montreal is currently generating about 0.05 per unit of volatility. If you would invest  7,494  in Bank of Montreal on December 2, 2024 and sell it today you would earn a total of  2,368  from holding Bank of Montreal or generate 31.6% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

SBI Insurance Group  vs.  Bank of Montreal

 Performance 
       Timeline  
SBI Insurance Group 

Risk-Adjusted Performance

Good

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in SBI Insurance Group are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile basic indicators, SBI Insurance unveiled solid returns over the last few months and may actually be approaching a breakup point.
Bank of Montreal 

Risk-Adjusted Performance

OK

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Bank of Montreal are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Bank of Montreal may actually be approaching a critical reversion point that can send shares even higher in April 2025.

SBI Insurance and Bank of Montreal Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with SBI Insurance and Bank of Montreal

The main advantage of trading using opposite SBI Insurance and Bank of Montreal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SBI Insurance position performs unexpectedly, Bank of Montreal 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 Bank of Montreal will offset losses from the drop in Bank of Montreal's long position.
The idea behind SBI Insurance Group and Bank of Montreal 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.
Check out your portfolio center.
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.

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