Argha Karya Prima Stock Probability Of Bankruptcy
| AKPI Stock | IDR 700.00 10.00 1.45% |
Argha |
Argha Karya Prima Company odds of financial distress Analysis
Argha Karya'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 Argha Karya Probability Of Bankruptcy | Less than 9% |
Most of Argha Karya'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, Argha Karya Prima is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of Argha Karya 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 Argha Karya 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 Argha Karya Prima 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.
CompetitionBased on the latest financial disclosure, Argha Karya Prima has a Probability Of Bankruptcy of 9.0%. This is 78.26% lower than that of the Containers & Packaging sector and 83.09% lower than that of the Materials industry. The probability of bankruptcy for all Indonesia stocks is 77.4% higher than that of the company.
Argha Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Argha Karya's direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Argha Karya could also be used in its relative valuation, which is a method of valuing Argha Karya by comparing valuation metrics of similar companies.Argha Karya is currently under evaluation in probability of bankruptcy category among related companies.
Argha Fundamentals
| Return On Equity | 0.14 | |||
| Return On Asset | 0.0272 | |||
| Profit Margin | 0.07 % | |||
| Operating Margin | 0.05 % | |||
| Current Valuation | 1.82 T | |||
| Shares Outstanding | 612.25 M | |||
| Shares Owned By Insiders | 83.08 % | |||
| Price To Book | 0.47 X | |||
| Price To Sales | 0.25 X | |||
| Revenue | 2.7 T | |||
| Gross Profit | 344.03 B | |||
| EBITDA | 269.21 B | |||
| Net Income | 147.83 B | |||
| Total Debt | 510.91 B | |||
| Book Value Per Share | 2,836 X | |||
| Cash Flow From Operations | (12.87 B) | |||
| Earnings Per Share | 375.55 X | |||
| Number Of Employees | 1.17 K | |||
| Beta | 0.96 | |||
| Market Capitalization | 740.82 B | |||
| Total Asset | 3.34 T | |||
| Z Score | 0.6 | |||
| Annual Yield | 0.04 % | |||
| Net Asset | 3.34 T | |||
| Last Dividend Paid | 49.0 |
About Argha Karya Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Argha Karya Prima's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Argha Karya using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Argha Karya Prima 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 Argha Karya
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 Argha Karya 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 Argha Karya will appreciate offsetting losses from the drop in the long position's value.Moving together with Argha Stock
| 0.75 | ALMI | Alumindo Light Metal | PairCorr |
Moving against Argha Stock
| 0.67 | BMRI | Bank Mandiri Persero Earnings Call Today | PairCorr |
| 0.65 | BBCA | Bank Central Asia | PairCorr |
| 0.53 | TPIA | Chandra Asri Petroch | PairCorr |
| 0.53 | BBNI | Bank Negara Indonesia | PairCorr |
| 0.48 | AGII | Aneka Gas Industri | PairCorr |
The ability to find closely correlated positions to Argha Karya could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Argha Karya 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 Argha Karya - 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 Argha Karya Prima to buy it.
The correlation of Argha Karya 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 Argha Karya moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Argha Karya Prima 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 Argha Karya 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 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 board of governors. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Complementary Tools for Argha Stock analysis
When running Argha Karya's price analysis, check to measure Argha Karya'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 Argha Karya is operating at the current time. Most of Argha Karya's value examination focuses on studying past and present price action to predict the probability of Argha Karya's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Argha Karya's price. Additionally, you may evaluate how the addition of Argha Karya to your portfolios can decrease your overall portfolio volatility.
| 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 | |
| Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
| Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
| AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
| 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 | |
| Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
| CEOs Directory Screen CEOs from public companies around the world | |
| Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios |