This module uses fundamental data of Celestica to approximate its Piotroski F score. Celestica F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Celestica. 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 Celestica financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Celestica. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
At this time, Celestica's Net Debt is very stable compared to the past year. As of the 1st of December 2024, Net Debt To EBITDA is likely to grow to 0.80, while Short and Long Term Debt Total is likely to drop about 483.6 M. At this time, Celestica's Days Of Inventory On Hand is very stable compared to the past year. As of the 1st of December 2024, Payables Turnover is likely to grow to 6.96, while PTB Ratio is likely to drop 1.67.
At this time, it appears that Celestica'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..
The critical factor to consider when applying the Piotroski F Score to Celestica is to make sure Celestica is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Celestica'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 Celestica's financial numbers are properly reported.
One of the toughest challenges investors face today is learning how to quickly synthesize historical financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between Celestica's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Celestica in a much-optimized way.
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.
Book Value Per Share
11.15
At this time, Celestica's Book Value Per Share is very stable compared to the past year.
About Celestica Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Celestica's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Celestica using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Celestica 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.
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 Celestica 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 Celestica will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Celestica could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Celestica 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 Celestica - 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 Celestica to buy it.
The correlation of Celestica 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 Celestica moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Celestica 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 Celestica 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.
When determining whether Celestica is a strong investment it is important to analyze Celestica's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Celestica's future performance. For an informed investment choice regarding Celestica Stock, refer to the following important reports:
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Celestica. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
To learn how to invest in Celestica Stock, please use our How to Invest in Celestica guide.You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.
Please note, there is a significant difference between Celestica's value and its price as these two are different measures arrived at by different means. Investors typically determine if Celestica is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Celestica'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.