sts
I'm a long term investor with some short term trading depending on market situations. I'm interested in stock charts that compute dividend reinvestment . For eg, if I want to compare GE to CAT over a 5 yr period, I would like a chart that woud show me the value of a 10K invested 5 yrs ago would grow into how much in 5 yrs, like that. I have not been able to find that in yahoo finance or Fidelity website. I'm looking for a free website that offers this feature. Thanks,
Answer
there is a comparison of the stocks in general but not adding the dividends into the equation
http://bigcharts.marketwatch.com/kaavio.Webhost/charts/big.chart?nosettings=1&symb=CAT&uf=0&type=64&size=4&sid=1098&style=320&freq=1&entitlementtoken=0c33378313484ba9b46b8e24ded87dd6&time=12&rand=109635283&compidx=aaaaa%3a0&comp=ge&ma=0&maval=9&lf=1&lf2=0&lf3=0&height=635&width=1045&mocktick=1
As you can see CAT as a stock clearly is the winner though lately they are running parallel basically right now
http://tmx.quotemedia.com/charting.php?qm_page=50559&qm_symbol=GE:US
http://tmx.quotemedia.com/charting.php?qm_page=62524&qm_symbol=CAT:US
here is a comparison between the individual stocks showing dividends (hover over each to find the amount)
neither stock has had any splits to account for....
set up a spread sheet where you can add the dividends and convert them to additional shares and create a new value.
I would venture a guess the CAT stock comes out on top...4 x the dividend yields less shares addition per dividend update and you had less shares to start with since the CAT was a higher price
but the fact that GE still has not had its share price rise to its 5 year old level while Cat has surpassed its 5 year old price makes them the clear winner
Do the spreadsheet....it is more educational to set it up and watch the calculation proceed.
there is a comparison of the stocks in general but not adding the dividends into the equation
http://bigcharts.marketwatch.com/kaavio.Webhost/charts/big.chart?nosettings=1&symb=CAT&uf=0&type=64&size=4&sid=1098&style=320&freq=1&entitlementtoken=0c33378313484ba9b46b8e24ded87dd6&time=12&rand=109635283&compidx=aaaaa%3a0&comp=ge&ma=0&maval=9&lf=1&lf2=0&lf3=0&height=635&width=1045&mocktick=1
As you can see CAT as a stock clearly is the winner though lately they are running parallel basically right now
http://tmx.quotemedia.com/charting.php?qm_page=50559&qm_symbol=GE:US
http://tmx.quotemedia.com/charting.php?qm_page=62524&qm_symbol=CAT:US
here is a comparison between the individual stocks showing dividends (hover over each to find the amount)
neither stock has had any splits to account for....
set up a spread sheet where you can add the dividends and convert them to additional shares and create a new value.
I would venture a guess the CAT stock comes out on top...4 x the dividend yields less shares addition per dividend update and you had less shares to start with since the CAT was a higher price
but the fact that GE still has not had its share price rise to its 5 year old level while Cat has surpassed its 5 year old price makes them the clear winner
Do the spreadsheet....it is more educational to set it up and watch the calculation proceed.
What are some examples of descriptive statistics?
Young Hagg
Does that imply like charts and tables and whatnot, or what does "descriptive statistics" mean?
Answer
Descriptive statistics
From Wikipedia, the free encyclopedia
Jump to: navigation, search
Descriptive Statistics are used to describe the basic features of the data gathered from an experimental study in various ways. A descriptive Statistics is distinguished from inductive statistics. They provide simple summaries about the sample and the measures. Together with simple graphics analysis, they form the basis of virtually every quantitative analysis of data. It is necessary to be familiar with primary methods of describing data in order to understand phenomena and make intelligent decisions.[1] Various techniques that are commonly used are classified as:
* Graphical displays of the data in which graphs summarize the data or facilitate comparisons.
* Tabular description in which tables of numbers summarize the data.
* Summary statistics (single numbers) which summarize the data.
OK - so that was almost useless :-)
Descriptive Statistics are used in many industries and fields to show how something is working - a simple example is a "Run Chart" - a basic graphic that use one line to show how something is behaving/measured over time. An example here would be to measure your weight on the same day and time each week and then plot that on a chart for a year (or more). You will see / watch how your weight can vary over time.
Another simple example would be to take a coin and flip it one hundred times. You can now make a simple bar chart of the number of heads versus the number of tales that you got. Do this again and make a new chart - are they the same? Probably not. You can also do this with a pair of dice. Now, because of the number 1 to 12, you can actually create what is called a histogram (a bar chart based on the number of each value {1 to 12} from the spin of the dice).
So yes, in the simplest form, descriptive statistics are used to make graphs of who things are working or the results that you get from something. However, it can get very involved and incorporate a lot of data/information. Think about this - how does a professional baseball manager know where to move his/her players in both the infield and outfield or what pitches to tell the pitcher to throw when a new batter comes to the plate? You guessed it - because the team hires statisticians who work out the data on the apposing team and knows what the batter is likely (probabilities) to do if thrown certain types of pitches.
In manufacturing, the term Six Sigma is used to describe how people use descriptive statistics to make things or how to service customers better.
The use of descriptive statistics can be a lot of fun and as noted above lead to some very exciting carrier opportunities.
The American Society for Quality and the American Statistical Association are great places to learn more about statistics and who uses this stuff.
Descriptive statistics
From Wikipedia, the free encyclopedia
Jump to: navigation, search
Descriptive Statistics are used to describe the basic features of the data gathered from an experimental study in various ways. A descriptive Statistics is distinguished from inductive statistics. They provide simple summaries about the sample and the measures. Together with simple graphics analysis, they form the basis of virtually every quantitative analysis of data. It is necessary to be familiar with primary methods of describing data in order to understand phenomena and make intelligent decisions.[1] Various techniques that are commonly used are classified as:
* Graphical displays of the data in which graphs summarize the data or facilitate comparisons.
* Tabular description in which tables of numbers summarize the data.
* Summary statistics (single numbers) which summarize the data.
OK - so that was almost useless :-)
Descriptive Statistics are used in many industries and fields to show how something is working - a simple example is a "Run Chart" - a basic graphic that use one line to show how something is behaving/measured over time. An example here would be to measure your weight on the same day and time each week and then plot that on a chart for a year (or more). You will see / watch how your weight can vary over time.
Another simple example would be to take a coin and flip it one hundred times. You can now make a simple bar chart of the number of heads versus the number of tales that you got. Do this again and make a new chart - are they the same? Probably not. You can also do this with a pair of dice. Now, because of the number 1 to 12, you can actually create what is called a histogram (a bar chart based on the number of each value {1 to 12} from the spin of the dice).
So yes, in the simplest form, descriptive statistics are used to make graphs of who things are working or the results that you get from something. However, it can get very involved and incorporate a lot of data/information. Think about this - how does a professional baseball manager know where to move his/her players in both the infield and outfield or what pitches to tell the pitcher to throw when a new batter comes to the plate? You guessed it - because the team hires statisticians who work out the data on the apposing team and knows what the batter is likely (probabilities) to do if thrown certain types of pitches.
In manufacturing, the term Six Sigma is used to describe how people use descriptive statistics to make things or how to service customers better.
The use of descriptive statistics can be a lot of fun and as noted above lead to some very exciting carrier opportunities.
The American Society for Quality and the American Statistical Association are great places to learn more about statistics and who uses this stuff.
Powered by Yahoo! Answers
No comments:
Post a Comment