Correlation Between CSIF III and CSIF I

Can any of the company-specific risk be diversified away by investing in both CSIF III and CSIF I 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 CSIF III and CSIF I into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between CSIF III Equity and CSIF I Equity, you can compare the effects of market volatilities on CSIF III and CSIF I 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 CSIF III with a short position of CSIF I. Check out your portfolio center. Please also check ongoing floating volatility patterns of CSIF III and CSIF I.

Diversification Opportunities for CSIF III and CSIF I

-0.32

Correlation Coefficient

CSIF III  CSIF I

Very good diversification

The 3 months correlation between CSIF and CSIF is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding CSIF III Equity and CSIF I Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CSIF I Equity and CSIF III 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 CSIF III Equity are associated (or correlated) with CSIF I. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CSIF I Equity has no effect on the direction of CSIF III i.e., CSIF III and CSIF I go up and down completely randomly.

Pair Corralation between CSIF III and CSIF I

Assuming the 90 days trading horizon CSIF III Equity is expected to under-perform the CSIF I. But the fund apears to be less risky and, when comparing its historical volatility, CSIF III Equity is 1.43 times less risky than CSIF I. The fund trades about -0.34 of its potential returns per unit of risk. The CSIF I Equity is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest  96,137  in CSIF I Equity on September 27, 2024 and sell it today you would lose (502.00) from holding CSIF I Equity or give up 0.52% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

CSIF III Equity  vs.  CSIF I Equity

CSIF III Equity

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days CSIF III Equity has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, CSIF III is not utilizing all of its potentials. The latest stock price disturbance, may contribute to short-term losses for the investors.

CSIF I Equity

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days CSIF I Equity has generated negative risk-adjusted returns adding no value to fund investors. Despite fairly strong forward indicators, CSIF I is not utilizing all of its potentials. The latest stock price confusion, may contribute to short-horizon losses for the traders.

Pair Trading with CSIF III and CSIF I

The main advantage of trading using opposite CSIF III and CSIF I positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CSIF III position performs unexpectedly, CSIF I 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 CSIF I will offset losses from the drop in CSIF I's long position.

The idea behind CSIF III Equity and CSIF I Equity 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.