Gold Road Resources Stock Piotroski F Score

ELKMF Stock  USD 1.07  0.02  1.83%   
This module uses fundamental data of Gold Road to approximate its Piotroski F score. Gold Road F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Gold Road Resources. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about Gold Road financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Gold Road Resources. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in population.
  
At this time, it appears that Gold Road's Piotroski F Score is Inapplicable. Although some professional money managers and academia have recently criticized Piotroski F-Score model, we still consider it an effective method of predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
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Piotroski F Score - Inapplicable
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Gold Road Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Gold Road is to make sure Gold is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Gold Road's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Gold Road's financial numbers are properly reported.

About Gold Road Piotroski F Score

F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.

About Gold Road Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Gold Road Resources's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Gold Road using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Gold Road Resources based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Gold Road in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Gold Road's short interest history, or implied volatility extrapolated from Gold Road options trading.

Pair Trading with Gold Road

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 Gold Road 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 Gold Road will appreciate offsetting losses from the drop in the long position's value.

Moving together with Gold Pink Sheet

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The ability to find closely correlated positions to Gold Road could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Gold Road 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 Gold Road - 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 Gold Road Resources to buy it.
The correlation of Gold Road 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 Gold Road moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Gold Road Resources 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 Gold Road 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 Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Gold Road Resources. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in population.
You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.

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When running Gold Road's price analysis, check to measure Gold Road's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Gold Road is operating at the current time. Most of Gold Road's value examination focuses on studying past and present price action to predict the probability of Gold Road's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gold Road's price. Additionally, you may evaluate how the addition of Gold Road to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between Gold Road's value and its price as these two are different measures arrived at by different means. Investors typically determine if Gold Road is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Gold Road's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.