Stock volatility is a percentage that suggests whether a stock is a desirable purchase. Investors look at the Volatility 12m to figure out if a enterprise has a low volatility percentage or not over the duration of a year. The Volatility 12m of Acacia Mining plc (LSE:ACA) is 48.245900. This is determined by taking weekly log normal returns and standard deviation of the equity price over one year annualized. The lower the number, a enterprise is thought to have low volatility. The Volatility 3m is a similar percentage calculated by the daily log normal returns and standard deviation of the equity price over 3 months. The Volatility 3m of Acacia Mining plc (LSE:ACA) is 62.424900. The Volatility 6m is the same, except measured over the duration of six months. The Volatility 6m is 55.852100.
As we move closer towards the end of the year, investors might be gazing over the portfolio and trying to see what has been working and what hasn’t been. Investors may be looking the most recent earnings reports of stocks they own in order to make sure that everything is still in order. Active investors might be double checking the portfolio to make sure that it is properly diversified. There might be a few alterations that are required to be made in order to keep the holdings balanced. Of duration, nobody can say for sure which way the momentum will shift over the next couple of quarters, but being prepared for any situation is generally considered to be a good idea.
At the time of writing, Acacia Mining plc (LSE:ACA) has a Piotroski F-Score of 4. The F-Score may assist bring to light companies with strengthening balance sheets. The score may also be used to locate the weak performers. Joseph Piotroski developed the F-Score which employs nine alternate variables based on the enterprise financial statement. A single point is assigned to each test that a stock passes. Typically, a stock scoring an 8 or 9 would be seen as strong. On the different end, a stock with a score from 0-2 would be viewed as weak.
Investors may be interested in looking the Gross Margin score on shares of Acacia Mining plc (LSE:ACA). The name right now has a score of 31.00000. This score is derived from the Gross Margin (Marx) stability and growth over the previous eight years. The Gross Margin score lands on a scale from 1 to 100 where a score of 1 would be considered positive, and a score of 100 would be seen as negative. The Q.i. Value of Acacia Mining plc is 64.00000. The Q.i. Value is a useful resource in determining if a enterprise is undervalued or not. The Q.i. Value is determined using the following ratios: EBITDA Yield, Earnings Yield, FCF Yield, and Liquidity. The lower the Q.i. value, the more undervalued the enterprise is thought to be.
The MF Rank (aka the Magic Formula) is a formula that pinpoints a valuable enterprise trading at a good price. The formula is determined by gazing at companies that have a high earnings yield as well as a high return on invested capital. The MF Rank of Acacia Mining plc (LSE:ACA) is 16464. A enterprise with a low rank is considered a good enterprise to invest in. The Magic Formula was introduced in a book written by Joel Greenblatt, entitled, “The Little Book that Beats the Market”. The ERP5 Rank is an investment resource that analysts use to bring to light undervalued companies. The ERP5 looks at the Price to Book ratio, Earnings Yield, ROIC and 5 year average ROIC. The ERP5 of Acacia Mining plc (LSE:ACA) is 13139. The lower the ERP5 rank, the more undervalued a enterprise is thought to be.
Some of the best financial predictions are formed by using a variation of financial tools. The Price Range 52 Weeks is one of the tools that investors use to figure out the lowest and highest price at which a stock has traded in the previous 52 weeks. The Price Range of Acacia Mining plc (LSE:ACA) over the past 52 weeks is 0.750000. The 52-week range can be found in the stock’s quote summary.
We can now take a quick peek at some historical equity price index data. Acacia Mining plc (LSE:ACA) currently has a 10 month price index of 0.78080. The price index is determined by dividing the current equity price by the equity price ten months ago. A ratio over one suggests an jolt in equity price over the season. A ratio lower than one signals that the price has decreased over that time season. Looking at some different time periods, the 12 month price index is 0.80264, the 24 month is 0.29870, and the 36 month is 0.78394. Narrowing in a bit closer, the 5 month price index is 1.18596, the 3 month is 1.28898, and the 1 month is right now 1.13805.
Free Cash Flow Growth (FCF Growth) is the free cash flow of the current year minus the free cash flow from the previous year, divided by last year’s free cash flow. The FCF Growth of Acacia Mining plc (LSE:ACA) is -3.051998. Free cash flow (FCF) is the cash produced by the enterprise minus capital expenditure. This cash is what a enterprise uses to meet its financial obligations, such as making payments on debt or to pay out dividends. The Free Cash Flow Score (FCF Score) is a useful resource in calculating the free cash flow growth with free cash flow stability – this gives investors the overall quality of the free cash flow. The FCF Score of Acacia Mining plc is -0.228428. Experts say the higher the value, the better, as it means that the free cash flow is high, or the variability of free cash flow is low or both.
Investing in the equity market will always involve some level of exposure. Investors sometimes need to figure out how much they are willing to exposure, and try to project what the potential reward could be. Taking on too much exposure may put the average investor out of their comfort zone. Finding that sweet locate for exposure appetite may assist investors get on the correct path to conquering the markets. As companies continue to report quarterly earnings, investors will be watching which companies post larger than expected surprises. Analysts will also be watching the numbers closely in order to make sense of the results and update estimates accordingly.
The 12 month volatility of Simbisa Brands Limited (ZMSE:SIM) is 75.741100. This is determined by taking weekly log normal returns and standard deviation of the equity price over one year annualized. Stock volatility is a percentage that suggests whether a stock is a desirable purchase. Investors look at the Volatility 12m to figure out if a enterprise has a low volatility percentage or not over the duration of a year. The lower the number, a enterprise is thought to have low volatility. The Volatility 3m is a similar percentage calculated by the daily log normal returns and standard deviation of the equity price over 3 months. The Volatility 3m of Simbisa Brands Limited (ZMSE:SIM) is 83.623300. The Volatility 6m is the same, except measured over the duration of six months. The Volatility 6m is 63.647200.
Investors have many things to keep an eye on when trading the stock market. Riding through the ups and downs that come with market volatility may take some getting used to for beginners. Even if the investor does all the proper home work and stock home work, things may not go as planned. One of the more meaningful aspects of securing long-term success in the markets is learning how to execute a well-planned strategy all the way through to completion. Finding that right stocks to add to the portfolio may take some time and effort, but it can be accomplished. Deciding on the proper time to sell can be the trickiest part. Many investors will have the tendency to panic when markets are suffering. Although market panic may be fairly normal, it can have longer lasting adverse effects on the stock portfolio.
At the time of writing, Simbisa Brands Limited (ZMSE:SIM) has a Piotroski F-Score of 9. The F-Score may assist bring to light companies with strengthening balance sheets. The score may also be used to locate the weak performers. Joseph Piotroski developed the F-Score which employs nine alternate variables based on the enterprise financial statement. A single point is assigned to each test that a stock passes. Typically, a stock scoring an 8 or 9 would be seen as strong. On the different end, a stock with a score from 0-2 would be viewed as weak.
Some of the best financial predictions are formed by using a variation of financial tools. The Price Range 52 Weeks is one of the tools that investors use to figure out the lowest and highest price at which a stock has traded in the previous 52 weeks. The Price Range of Simbisa Brands Limited (ZMSE:SIM) over the past 52 weeks is 0.863000. The 52-week range can be found in the stock’s quote summary.
Free Cash Flow Growth (FCF Growth) is the free cash flow of the current year minus the free cash flow from the previous year, divided by last year’s free cash flow. The FCF Growth of Simbisa Brands Limited (ZMSE:SIM) is 3.419288. Free cash flow (FCF) is the cash produced by the enterprise minus capital expenditure. This cash is what a enterprise uses to meet its financial obligations, such as making payments on debt or to pay out dividends. The Free Cash Flow Score (FCF Score) is a useful resource in calculating the free cash flow growth with free cash flow stability – this gives investors the overall quality of the free cash flow. The FCF Score of Simbisa Brands Limited is 2.760882. Experts say the higher the value, the better, as it means that the free cash flow is high, or the variability of free cash flow is low or both.
We can now take a quick peek at some historical equity price index data. Simbisa Brands Limited (ZMSE:SIM) currently has a 10 month price index of 2.07476. The price index is determined by dividing the current equity price by the equity price ten months ago. A ratio over one suggests an jolt in equity price over the season. A ratio lower than one signals that the price has decreased over that time season. Looking at some different time periods, the 12 month price index is 1.31076, the 24 month is 6.11418, and the 36 month is 5.60636. Narrowing in a bit closer, the 5 month price index is 1.81489, the 3 month is 1.80300, and the 1 month is right now 1.81489.
Investors may be interested in looking the Gross Margin score on shares of Simbisa Brands Limited (ZMSE:SIM). The name right now has a score of 26.00000. This score is derived from the Gross Margin (Marx) stability and growth over the previous eight years. The Gross Margin score lands on a scale from 1 to 100 where a score of 1 would be considered positive, and a score of 100 would be seen as negative. The Q.i. Value of Simbisa Brands Limited is 29.00000. The Q.i. Value is a useful resource in determining if a enterprise is undervalued or not. The Q.i. Value is determined using the following ratios: EBITDA Yield, Earnings Yield, FCF Yield, and Liquidity. The lower the Q.i. value, the more undervalued the enterprise is thought to be.
The MF Rank (aka the Magic Formula) is a formula that pinpoints a valuable enterprise trading at a good price. The formula is determined by gazing at companies that have a high earnings yield as well as a high return on invested capital. The MF Rank of Simbisa Brands Limited (ZMSE:SIM) is 5159. A enterprise with a low rank is considered a good enterprise to invest in. The Magic Formula was introduced in a book written by Joel Greenblatt, entitled, “The Little Book that Beats the Market”. The ERP5 Rank is an investment resource that analysts use to bring to light undervalued companies. The ERP5 looks at the Price to Book ratio, Earnings Yield, ROIC and 5 year average ROIC. The ERP5 of Simbisa Brands Limited (ZMSE:SIM) is 7697. The lower the ERP5 rank, the more undervalued a enterprise is thought to be.
When it comes to investing in the equity market, there are many alternate styles and strategies that can be used. Some investors will want to do all the work themselves to try to adopt a specific plan all their own. Others will attempt to replicate strategies that have worked for others in the past. Of duration, there is no sure bet strategy that will produce instant investing success. Taking the time to study all the alternate investing ways may be helpful for some, but not as useful for others. What worked in the past may not work again in the future. Investors will sometimes are required to decide how much exposure they are willing to take on when investing in stocks. Once the exposure appetite is figured out, they may want to decide how much and how aggressive they want to invest.
