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Semi Deviation In A Nutshell

What is different with this compared to standard deviation is it only looks at the negative returns, whereas standard deviation looks at both the positive and negative returns. How this may be important is it gives the user a look at possible losses. Many people only look at the expect growth of an investment, but fail to realize the potential drawdowns. Minimizing risk while optimizing returns is the goal of every trader and investor.

A popular data point among traders and investors alike is the standard deviation, which allows the person to gauge where the market may go for a given period. With that, there is a data set called the semi deviation, and this helps with looking at the returns that are below the mean.

Closer Look at Semi Deviation

Using deviations are a wonderful tool because it will give you percentages of the likelihood of an event happening. An example is one standard deviation both ways is stated to contain roughly 68% of the likely data points away from the mean. Semi deviation and give a likely hood of a drawdown happening. Before implanting this data set, test it and see if it fits your current investing strategy. MacroAxis has a wonderful base of tools and research knowledge to give you a head start in your adventure. Remember, semi deviation only measures to the downside so it may not be suitable for all situations.

Generate Optimal Portfolios

The classical approach to portfolio optimization is known as Modern Portfolio Theory (MPT). It involves categorizing the investment universe based on risk (standard deviation) and return, and then choosing the mix of investments that achieves the desired risk-versus-return tradeoff. Portfolio optimization can also be thought of as a risk-management strategy as every type of equity has a distinct return and risk characteristics as well as different systemic risks, which describes how they respond to the market at large. Macroaxis enables investors to optimize portfolios that have a mix of equities (such as stocks, funds, or ETFs) and cryptocurrencies (such as Bitcoin, Ethereum or Monero)
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.

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