Duck Creek Technologies Stock Piotroski F Score

DCTDelisted Stock  USD 18.99  0.00  0.00%   
This module uses fundamental data of Duck Creek to approximate its Piotroski F score. Duck Creek F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Duck Creek Technologies. 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 Duck Creek 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. Also, note that the market value of any Company could be tightly coupled with the direction of predictive economic indicators such as signals in main economic indicators.
  
At this time, it appears that Duck Creek's Piotroski F Score is Unavailable. 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 - Unavailable
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Duck Creek Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Duck Creek is to make sure Duck is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Duck Creek'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 Duck Creek's financial numbers are properly reported.

About Duck Creek 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 Duck Creek Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Duck Creek Technologies's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Duck Creek using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Duck Creek Technologies 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.
Duck Creek Technologies, Inc. provides software-as-a-service core systems to the property and casualty insurance industry in the United States and internationally. The company was founded in 2016 and is based in Boston, Massachusetts. Duck Creek operates under SoftwareApplication classification in the United States and is traded on NASDAQ Exchange.
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 Duck Creek 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, Duck Creek's short interest history, or implied volatility extrapolated from Duck Creek options trading.

Pair Trading with Duck Creek

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 Duck Creek 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 Duck Creek will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Duck Creek could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Duck Creek 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 Duck Creek - 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 Duck Creek Technologies to buy it.
The correlation of Duck Creek is a statistical measure of how it moves in relation to other equities. 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 Duck Creek moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Duck Creek Technologies 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 Duck Creek 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. Also, note that the market value of any Company could be tightly coupled with the direction of predictive economic indicators such as signals in main economic indicators.
Note that the Duck Creek Technologies information on this page should be used as a complementary analysis to other Duck Creek's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.

Other Consideration for investing in Duck Stock

If you are still planning to invest in Duck Creek Technologies check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Duck Creek's history and understand the potential risks before investing.
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