CSS Historical Income Statement

Pair Trading with CSS Industries

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if CSS Industries position performs unexpectedly, the other equity 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 CSS Industries will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to NRG Energy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace NRG Energy when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back NRG Energy - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling NRG Energy to buy it.
The correlation of NRG Energy is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as NRG Energy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if NRG Energy moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for NRG Energy can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in state.
You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.

Other Consideration for investing in CSS Stock

If you are still planning to invest in CSS Industries check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the CSS Industries' history and understand the potential risks before investing.
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Idea Optimizer
Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Share Portfolio
Track or share privately all of your investments from the convenience of any device
Analyst Advice
Analyst recommendations and target price estimates broken down by several categories
Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios