The Piotroski F-Score is a scoring system between 1-9 that determines a firm’s financial strength. The score helps determine if a company’s stock is valuable or not. The Piotroski F-Score of Nomura Real Estate Holdings, Inc. (TSE:3231) is 5. A score of nine indicates a high value stock, while a score of one indicates a low value stock. The score is calculated by the return on assets (ROA), Cash flow return on assets (CFROA), change in return of assets, and quality of earnings. It is also calculated by a change in gearing or leverage, liquidity, and change in shares in issue. The score is also determined by change in gross margin and change in asset turnover.

Smart investors are often very knowledgeable about the markets. Many successful investors have become highly adept at knowing when to buy and when to sell. They have also managed to control risk and secure sustained profits. This doesn’t just happen overnight. Investors often spend many years of trial and error before being able to put together the puzzle. Top investors are also able to make better investing decisions with the information at hand. With vast amounts of data readily available for everyone, it becomes more about interpreting the data rather than just receiving it. Knowing how to block out the noise and find information that is useful, can be a highly coveted skill. Turning available information into a winning portfolio is where the good investor can become a great investor.

SMA 50/200

Ever wonder how investors predict positive share price momentum? The Cross SMA 50/200, also known as the “Golden Cross” is the fifty day moving average divided by the two hundred day moving average. The SMA 50/200 for Nomura Real Estate Holdings, Inc. (TSE:3231) is currently 0.95820. If the Golden Cross is greater than 1, then the 50 day moving average is above the 200 day moving average – indicating a positive share price momentum. If the Golden Cross is less than 1, then the 50 day moving average is below the 200 day moving average, indicating that the price might drop.

The price to book ratio or market to book ratio for Nomura Real Estate Holdings, Inc. (TSE:3231) currently stands at 0.756366. The ratio is calculated by dividing the stock price per share by the book value per share. This ratio is used to determine how the market values the equity. A ratio of under 1 typically indicates that the shares are undervalued. A ratio over 1 indicates that the market is willing to pay more for the shares. There are often many underlying factors that come into play with the Price to Book ratio so all additional metrics should be considered as well.

The C-Score is a system developed by James Montier that helps determine whether a company is involved in falsifying their financial statements. The C-Score is calculated by a variety of items, including a growing difference in net income verse cash flow, increasing days outstanding, growing days sales of inventory, increasing assets to sales, declines in depreciation, and high total asset growth. The C-Score of Nomura Real Estate Holdings, Inc. (TSE:3231) is 4.00000. The score ranges on a scale of -1 to 6. If the score is -1, then there is not enough information to determine the C-Score. If the number is at zero (0) then there is no evidence of fraudulent book cooking, whereas a number of 6 indicates a high likelihood of fraudulent activity. The C-Score assists investors in assessing the likelihood of a company cheating in the books.

Turning to Free Cash Flow Growth (FCF Growth), this 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 Nomura Real Estate Holdings, Inc. (TSE:3231) is 0.916387. Free cash flow (FCF) is the cash produced by the company minus capital expenditure. This cash is what a company 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 helpful tool in calculating the free cash flow growth with free cash flow stability – this gives investors the overall quality of the free cash flow.

Stock volatility is a percentage that indicates whether a stock is a desirable purchase. Investors look at the Volatility 12m to determine if a company has a low volatility percentage or not over the course of a year. The Volatility 12m of Nomura Real Estate Holdings, Inc. (TSE:3231) is 21.039800. This is calculated by taking weekly log normal returns and standard deviation of the share price over one year annualized.

The lower the number, a company is thought to have low volatility. The Volatility 3m is a similar percentage determined by the daily log normal returns and standard deviation of the share price over 3 months. The Volatility 3m of Nomura Real Estate Holdings, Inc. (TSE:3231) is 18.967300. The Volatility 6m is the same, except measured over the course of six months. The Volatility 6m is 24.446000.

**MF Rank**

The MF Rank (aka the Magic Formula) is a formula that pinpoints a valuable company trading at a good price. The formula is calculated by looking at companies that have a high earnings yield as well as a high return on invested capital. The MF Rank of Nomura Real Estate Holdings, Inc. (TSE:3231) is 8903. A company with a low rank is considered a good company to invest in. The Magic Formula was introduced in a book written by Joel Greenblatt, entitled, “The Little Book that Beats the Market”.

The Q.i. Value of Nomura Real Estate Holdings, Inc. (TSE:3231) is 44.00000. The Q.i. Value is a helpful tool in determining if a company is undervalued or not. The Q.i. Value is calculated using the following ratios: EBITDA Yield, Earnings Yield, FCF Yield, and Liquidity. The lower the Q.i. value, the more undervalued the company is thought to be.

**Value Composite**

The Value Composite One (VC1) is a method that investors use to determine a company’s value. The VC1 of Nomura Real Estate Holdings, Inc. (TSE:3231) is 18. A company with a value of 0 is thought to be an undervalued company, while a company with a value of 100 is considered an overvalued company. The VC1 is calculated using the price to book value, price to sales, EBITDA to EV, price to cash flow, and price to earnings. Similarly, the Value Composite Two (VC2) is calculated with the same ratios, but adds the Shareholder Yield. The Value Composite Two of Nomura Real Estate Holdings, Inc. (TSE:3231) is 12.

**ERP5 Rank**

The ERP5 Rank is an investment tool that analysts use to discover undervalued companies. The ERP5 looks at the Price to Book ratio, Earnings Yield, ROIC and 5 year average ROIC. The ERP5 of Nomura Real Estate Holdings, Inc. (TSE:3231) is 7437. The lower the ERP5 rank, the more undervalued a company is thought to be.

Investors might be taking a closer look at the portfolio after recent market action. Some financial insiders may be ready to usher in the bears and projecting the end of the bull run. While this may or may not be the case, investors need to be ready for any scenario. The time may have come to cash out some winners and cut the losers. A portfolio rebalance may be necessary in order to secure profits as we head into the latter half of the year. Keeping a diversified portfolio may entail adding some different sectors and even venturing into foreign markets. Investors will be tracking company earnings as we roll into the next round of reports. It may be a bit easier to make sense of future stock market prospects after seeing how many companies hit or miss their marks.

At the time of writing, G4S plc (LSE:GFS) has a Piotroski F-Score of 4. The F-Score may help discover companies with strengthening balance sheets. The score may also be used to spot the weak performers. Joseph Piotroski developed the F-Score which employs nine different variables based on the company 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 other end, a stock with a score from 0-2 would be viewed as weak.

Tackling the stock market may involve many different aspects. Investors may at times feel like they are on a wild ride. Sometimes there are extreme highs, and sometimes there are extreme lows. Figuring out how to best deal with fluctuations can help the investor’s mindset. Investors who are able to keep their emotions in check might be one step ahead of the rest. Being able to identify emotional weaknesses can help the investor avoid tricky situations when things get hairy. Keeping the stock portfolio on the profitable side may involve making decisions that require emotional detachment. When emotions are running high, it may impair the rational decision making capability of the investor.

**Current Ratio**

The Current Ratio of G4S plc (LSE:GFS) is 1.17. The Current Ratio is used by investors to determine whether a company can pay short term and long term debts. The current ratio looks at all the liquid and non-liquid assets compared to the company’s total current liabilities. A high current ratio indicates that the company might have trouble managing their working capital. A low current ratio (when the current liabilities are higher than the current assets) indicates that the company may have trouble paying their short term obligations.

The Return on Invested Capital (aka ROIC) for G4S plc (LSE:GFS) is 0.347024. The Return on Invested Capital is a ratio that determines whether a company is profitable or not. It tells investors how well a company is turning their capital into profits. The ROIC is calculated by dividing the net operating profit (or EBIT) by the employed capital. The employed capital is calculated by subrating current liabilities from total assets. Similarly, the Return on Invested Capital Quality ratio is a tool in evaluating the quality of a company’s ROIC over the course of five years. The ROIC Quality of G4S plc (LSE:GFS) is 7.540662. This is calculated by dividing the five year average ROIC by the Standard Deviation of the 5 year ROIC. The ROIC 5 year average is calculated using the five year average EBIT, five year average (net working capital and net fixed assets). The ROIC 5 year average of G4S plc (LSE:GFS) is 0.286408.

The Gross Margin Score is calculated by looking at the Gross Margin and the overall stability of the company over the course of 8 years. The score is a number between one and one hundred (1 being best and 100 being the worst). The Gross Margin Score of G4S plc (LSE:GFS) is 4.00000. The more stable the company, the lower the score. If a company is less stable over the course of time, they will have a higher score.

**MF Rank**

The MF Rank (aka the Magic Formula) is a formula that pinpoints a valuable company trading at a good price. The formula is calculated by looking at companies that have a high earnings yield as well as a high return on invested capital. The MF Rank of G4S plc (LSE:GFS) is 3049. A company with a low rank is considered a good company to invest in. The Magic Formula was introduced in a book written by Joel Greenblatt, entitled, “The Little Book that Beats the Market”.

The Q.i. Value of G4S plc (LSE:GFS) is 26.00000. The Q.i. Value is a helpful tool in determining if a company is undervalued or not. The Q.i. Value is calculated using the following ratios: EBITDA Yield, Earnings Yield, FCF Yield, and Liquidity. The lower the Q.i. value, the more undervalued the company is thought to be.

Turning to Free Cash Flow Growth (FCF Growth), this 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 G4S plc (LSE:GFS) is -0.505768. Free cash flow (FCF) is the cash produced by the company minus capital expenditure. This cash is what a company 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 helpful tool in calculating the free cash flow growth with free cash flow stability – this gives investors the overall quality of the free cash flow.

**Value Composite**

The Value Composite One (VC1) is a method that investors use to determine a company’s value. The VC1 of G4S plc (LSE:GFS) is 38. A company with a value of 0 is thought to be an undervalued company, while a company with a value of 100 is considered an overvalued company.

The VC1 is calculated using the price to book value, price to sales, EBITDA to EV, price to cash flow, and price to earnings. Similarly, the Value Composite Two (VC2) is calculated with the same ratios, but adds the Shareholder Yield. The Value Composite Two of G4S plc (LSE:GFS) is 30.

**Volatility**

Stock volatility is a percentage that indicates whether a stock is a desirable purchase. Investors look at the Volatility 12m to determine if a company has a low volatility percentage or not over the course of a year. The Volatility 12m of G4S plc (LSE:GFS) is 36.252400. This is calculated by taking weekly log normal returns and standard deviation of the share price over one year annualized.

The lower the number, a company is thought to have low volatility. The Volatility 3m is a similar percentage determined by the daily log normal returns and standard deviation of the share price over 3 months. The Volatility 3m of G4S plc (LSE:GFS) is 43.856000. The Volatility 6m is the same, except measured over the course of six months. The Volatility 6m is 46.906100.

**ERP5 Rank**

The ERP5 Rank is an investment tool that analysts use to discover undervalued companies. The ERP5 looks at the Price to Book ratio, Earnings Yield, ROIC and 5 year average ROIC. The ERP5 of G4S plc (LSE:GFS) is 4873. The lower the ERP5 rank, the more undervalued a company is thought to be.

Investors are constantly on the lookout for that next great stock pick. Finding that particular stock that had been overlooked by the rest of the investing community can bring great satisfaction to the individual investor. Spotting these stocks may take a lot of time and effort, but the rewards may be well worth it. Knowledge is power, and this principle also translates over to the equity market. Investors who are able to dig a little bit deeper may be setting themselves up for much greater success in the long run. These days, investors have access to a wide range of information. Trying to filter out the important information can be a key factor in portfolio strength. Knowing what data to look for and how to trade that information is extremely important. Successful investors are typically able to focus their energy on the right information and then apply it to a trading strategy.