Gold Road Resources Stock Probability Of Bankruptcy
| ELKMF Stock | USD 1.05 0.02 1.87% |
Gold |
Gold Road Resources Company chance of financial distress Analysis
Gold Road's Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
More About Probability Of Bankruptcy | All Equity Analysis
Probability Of Bankruptcy | = | Normalized | | Z-Score |
Current Gold Road Probability Of Bankruptcy | Less than 10% |
Most of Gold Road's fundamental indicators, such as Probability Of Bankruptcy, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Gold Road Resources is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of Gold Road probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting Gold Road odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of Gold Road Resources financial health.
The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of stock prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.
| Competition |
Based on the latest financial disclosure, Gold Road Resources has a Probability Of Bankruptcy of 10.0%. This is 77.45% lower than that of the Basic Materials sector and 78.67% lower than that of the Gold industry. The probability of bankruptcy for all United States stocks is 74.89% higher than that of the company.
Gold Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Gold Road's direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the pink sheets which would be a good addition to a portfolio. Peer analysis of Gold Road could also be used in its relative valuation, which is a method of valuing Gold Road by comparing valuation metrics of similar companies.Gold Road is currently under evaluation in probability of bankruptcy category among related companies.
Gold Fundamentals
| Return On Equity | 0.1 | |||
| Return On Asset | 0.0674 | |||
| Profit Margin | 0.17 % | |||
| Operating Margin | 0.24 % | |||
| Current Valuation | 1.19 B | |||
| Shares Outstanding | 1.08 B | |||
| Shares Owned By Insiders | 4.00 % | |||
| Shares Owned By Institutions | 42.61 % | |||
| Price To Earning | 16.86 X | |||
| Price To Book | 2.73 X | |||
| Price To Sales | 3.87 X | |||
| Revenue | 274.76 M | |||
| Gross Profit | 99.39 M | |||
| EBITDA | 120.73 M | |||
| Net Income | 36.79 M | |||
| Cash And Equivalents | 160.27 M | |||
| Cash Per Share | 0.15 X | |||
| Total Debt | 115.43 M | |||
| Debt To Equity | 0.16 % | |||
| Current Ratio | 3.45 X | |||
| Book Value Per Share | 0.67 X | |||
| Cash Flow From Operations | 89.24 M | |||
| Earnings Per Share | 0.04 X | |||
| Number Of Employees | 73 | |||
| Beta | 0.68 | |||
| Market Capitalization | 1.11 B | |||
| Total Asset | 652.39 M | |||
| Retained Earnings | (51 M) | |||
| Working Capital | 87 M | |||
| Current Asset | 92 M | |||
| Current Liabilities | 5 M | |||
| Z Score | 5.4 | |||
| Annual Yield | 0.01 % | |||
| Net Asset | 652.39 M | |||
| Last Dividend Paid | 0.015 |
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.
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
| 0.61 | NEM | Newmont Goldcorp Corp Earnings Call This Week | PairCorr |
| 0.63 | GOLD | Barrick Gold Corp Financial Report 1st of May 2024 | PairCorr |
Moving against Gold Pink Sheet
| 0.62 | PPERY | Bank Mandiri Persero Earnings Call This Week | PairCorr |
| 0.53 | TLKMF | Telkom Indonesia Tbk | PairCorr |
| 0.48 | BKRKY | Bank Rakyat Earnings Call This Week | PairCorr |
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.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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Complementary Tools for Gold Pink Sheet analysis
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.
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
| Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |