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Long put positions are lesser than long positions and this suggests that mutual funds use them mainly for insuring their portfolios.I examine the sample mutual funds to understand the motives behind their option positions; more specifically to see if there is information content about the future performance of the underlying stocks.

For this, portfolios replicating the underlying option positions are constructed for each period separately for calls and puts and then held for a period of one to twelve months.

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ai for real time risk prediction in healthcare ✌️【365vc.net】✌️Small investment, big returns! Start at ₹500 and grow your wealth month by month.Table 2 reports the risk-adjusted returns of the above options portfolios.It can be seen from the table above that all the risk-adjusted returns are insignificant.

Hence, there is no evidence to support that there is a significant variation in the future prices of the underlying equities over the different buy-and-hold periods.

ai for real time risk prediction in healthcare ✌️【365vc.net】✌️Save, invest, and grow! ₹500 to begin, with potential for 100% monthly profits.The above results should be read with caution as the portfolios are constructed without knowing the exact date when the mutual funds bought the underlying, took long/short position in options and also we do not have reliable disclosed information.To understand which type of mutual funds use options in their portfolios, I perform univariate analysis for the sample funds after reclassifying the sample funds into growth, income, large-cap, mid-cap, small-cap, and other types of funds.

ai for real time risk prediction in healthcare ✌️【365vc.net】✌️Invest smartly in blockchain technology. Start small, earn big—₹500 to 100% returns monthly.Table 3 reports the frequency of option users versus nonusers.

In the options user category, growth funds with a 39% are the highest users of options followed by large-cap and mid-cap funds.

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If we look at the fund characteristics of option users versus nonusers it is seen that option users are not consistent in using the options and similarly nonusers too use them in the times of volatility to protect their portfolios.It is also observed that most of the option users are from small fund houses with lesser assets under management.

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Finally, option users generate lesser overall returns because of their high risk exposure than the nonusers.[1]Retrieved fromhttps://www.businesstoday.in/current/economy-politics/sebi-issues-norms-for-mutual-funds-investments-in-derivatives/story/310750.html[2]I use ACE mutual funds database to analyze the data.

Funds with non-missing data is considered and please note that the ACE mutual funds data has some errors which could not be rectified.ai for real time risk prediction in healthcare AI-Powered Investments: Up to 100% Monthly Returns