I have an LSE spreadsheet with a list of 150 stocks. I need to find the easiest way of calculating the volatility of each stock using either standard deviation or garman-klass. Is there way of coding it so i can probable pull through data from the internet nd run simultaneous calculation for each of the stocks?
I have calculated the implied volatility for different single options using the newton raphson method. But, I also need to calculate the implied volatility which minimizes the sum of squared differences between the observed market price and the model price for each day. I guess one needs to use vectors (jacobian matrix) to do this, but I do not know how to expand the code to be able to do this. Anyone have any idea how this can be done? I have attached the [code] I have used to calculate the implied volatility for one option.
My question is can I use cpu clock or some other means temporarily as an indicator before and after sections of code to display run speed until I find the best optimised code solution.
Is there any way to measure the width of text in a cell in points? I know that the width of the cell is returned using the Width property.
I also know that the number of characters in the text can be returned using the LEN() function, but I don't believe the number of characters can be converted to points (because some characters are different widths, if I'm not mistaken)
I have a SumProduct formula that processes ranges of integers, and should deliver the integer answer of 504.
Instead, it delivers the answer of 503.9999999999990000000.
Is that what is meant by "volatility"?
Most of the expressions in the formula are already preceded by a SIGN function, and I was under the impression that one benefit of the SIGN function was to guard against volatility.
Anyway, here's the formula. I don't expect anyone to examine it in any great detail, but perhaps you might share some tips or tricks to prevent the volatility of the result:
I have access to a huge database in excel that involves sales data. The database is catagorized like:
Column A = Country Column B = Product Column C = Company Column D = (Product) category Column E = Sales Column F = Period Column G = Sales of particular company Column H = Market category Further details: see attached file!
I am looking for way to express developments ( absolute and relative) in market growth and market share over time.
I have 3 questions: How can i show the growth of the total market sales over time (period 1 to 4)? How can i show the growth of the Int comapny sales over time (period 1 to 4)? How can i show the market share of the Int company over time (period 1 to 4)?
Market growth can be calculated by comparing the sales amounts of the total market (or the Int company) to previous periods. Market share can be calculated by expressing the sales figures of the Int company in percentage of the total sales in a partical period (i=1,2,3,4).
Below are the weekly closing prices for a stock market index. I'm looking to use conditional formatting to highlight in green "buy" signals and in red "sell" signals.
Buy Signal: If the index rises 4% above any previous low point.
Sell Signal: If the index falls 4% from any previous high point.
DateAdj Close 3/10/201472.16 3/3/201473.55 2/24/201472.83 2/18/201471.92 2/10/201471.43
[code].....
In the above example a Buy Signal is generated on 1/13/2014 because the market closes 4% above the low of 68.24 on 12/9/2013.
1 provides sales data for companies in a time period, 2 provides market share data for companies in a time period.
Both pivots can be filter by page fields country and category. Now i want to calculate 4 average market share values (because i have 4 defined periods): 1 average MS in period 1, 1 average MS in period 2, etc. In this average i want to exclude companies that are not active in a certain period (pivot table shows MS = "0%") and companies that totally not active in all periods (pivot table doesn't shows market share data at all after a certain selection of the page fields).
Attachment : calculate averages from pivot table.zip
I created two pivots: 1 provides sales data for companies in a time period, 2 provides market share data for companies in a time period. Both pivots can be filter by page fields country and category. Now i want to calculate 4 average market share values (because i have 4 defined periods): 1 average MS in period 1, 1 average MS in period 2, etc. In this average i want to exclude companies that are not active in a certain period (pivot table shows MS = "0%") and companies that totally not active in all periods (pivot table doesn't shows market share data at all after a certain selection of the page fields). Check out my attachment too to symplify this question. How how i formulate this formula?
It is my general understanding that the change event system within Excel vba is fairly particular as to what will fit the mold of a qualifying change event.
For example, changes that the user imparts to the worksheet and other written code are legitament candidates for change events. However copying down data and cells changing their values indirectly rather than directly may not be considered in the Microsoft change event design.
I would like to know 2 things:
1) Does a cell updated by a market data feed mechanism qualify for a change event?
2) Any list of qualifying change event types. It seems that Microsoft does not have this information.