financial analysis and modeling using excel and vba

objOutlook = Nothing46.47. End Sub Paste a button in Excel and click the event to point to this process. Microsoft Outlook 11.0 Object Library must also be referenced in the Visual Basic Editor of Excel. The specific component name may vary depending on the installed Outlook version. You can only use Outlook instead of Outlook Express. You must Configure Outlook correctly to use the default account to send

How to quickly get started using Python for financial data analysisIntroduction:This series of posts "quantitative small classroom", through practical cases to teach beginners to use Python, pandas for financial data processing, hope to be helpful to the big home." must -read article": "10 400 times-fold strategy sharing-video-line-guided code""All series article

The following is an example of using Excel VBA to connect to Oracle and operate Oracle-related data.To connect to the database through VBA, Excel needs to install the corresponding Oracle client tool and reference the relevant components of ADO. to reference the components o

Csng Single Cstr String Cvar Variant Instance:Sub type conversion ()Dim funds as DoubleFunds = 80.42454Msgbox "Type:" TypeName (Funds) "value:" Funds ' TypeName () for identifying data typesMsgbox "Type:" TypeName (CBool (funds)) "Value:" CBool (Funds)Msgbox "Type:" TypeName (CByte (funds)) "Value:" cbyte (funds)End Sub2.3 VariablesInstance:Sub Display user name ()user_name = Application.inputbox ("Please ente

becomes larger than it actually is. Method 4:activesheet.usedrange.specialcells (xlCellTypeLastCell). RowActiveSheet.UsedRange.SpecialCells (xlCellTypeLastCell). Column disadvantage: When a worksheet is deleted or cleared, it becomes larger than it actually is. Method 5:application.counta (ActiveSheet.Range ("a:a")) Application.counta (ActiveSheet.Range ("1:1") can only count the actual usage of one column (row), not the position of the last row (column). When the value of Method 2 is larger th

' Check public Function check () as Variant on Error GoTo erlb dim strdir as String st Rdir = Thisworkbook.worksheets ("Path"). Range ("B2") objfile = Dir (Strdir "\*.xlsx") thisworkbook.worksheets ("Result"). Activate with ActiveSheet . Range ("a2:b400"). Select '. Cells.select selection.clearcontents . Range ("A1"). Select end with application.screenupdating = False do while objfile icnt = 0 startrow = 9 with ActiveSheet for iRow = StartRow to MaxRow If Trim (ActiveSheet.Ce

Since 2005, Python has been used more and more in the financial industry, thanks to increasingly sophisticated libraries (numpy and pandas) and a wealth of experienced programmers. Many organizations find that Python is not only a great fit for an interactive analysis environment, but also a very useful system for developing files, which takes much less time than Java or C + +. Python is also a very good gl

The analysis of subway subsidence observation data using VBA programming processWhen you're tired of watching the day, you're back looking at hundreds of measurements and reporting. If it's a 35-page report, it's okay to say that if it's a 2000-point report, it will have about 70 pages of reports on a page of paper 30. As the force of the surveyors, but also more

FlowFour, according to the sales data to the customer hierarchical clustering calculation1. connect to query customer's consumer informationSetting connection and key columnsQuery results2. standardization before cluster computingSet up columns and standardized algorithms that require normalizationStandardized results3. Compute Hierarchical ClusteringSpecify distance functions, connection types, and columns that participate in cluster calculationsHierarchical clustering Results4. Removing noise

Case: rfm analysis of member customer transaction data using Excel Background: A Member Service Enterprise has about 1200 member customers in the past year. As the company wants to activate promotions for different categories of inactive customers, it also plans to launch a series of promotions for key customers to retain these customers and maintain their activi

configuration With a PivotTable report, it's easy to see China's sales totals and U.S. sales totals. Pivot Chart According to this figure, the iphone's sales in China have fallen sharply over the years. ----in order to observe the difference between China and the United States, only need to configure the data panel as follows. (in product and country categories) Pivot table Pivot Chart It can be found that since 14, iphone sales in China began to lower than in the United States

After you configure your environment, you can use Excel for data mining. Environment configuration issues can be found in:http://blog.csdn.net/xinxing__8185/article/details/46445435Sample dmaddins_sampledata.xlsxFiles:http://download.csdn.net/detail/xinxing__8185/8780481In the Data table, select Table Analysis Tools Sample , which is the user's information statistics, including marital status, gender, incom

Fourier analysis is often used in engineering, and it is usually possible to study the frequency components of variables.Use Excel to generate the data you want to study, with the formula: Y==2*sin (x*2) +cos (x) +rand () *0.1These include two different frequency components, with a strength of twice times, and a noise signal component with a strength of 0.1.Using

table_info (x): shape=x.shape Types=x.dtypes colums=x.columns Print(" data Dimension (rows, columns): \ n", Shape) print( " data format: \ n " , types) Print (" column name: \ n", colums)#call the custom function to get the DF data table information and output the resultTable_info (DF) data dimension (row, column):(6, 6) data format: ID int64date datetime64[ns]city objectcategory objectage int64price float64dtype:object column name: Index (['ID','Date',' City','category',' A

Assuming that two factors work together on a single result, it is necessary to cross-examine it to analyze the extent of their impact on the results.Case: The impact on sales is determined by the location of the store and the form of advertising promotion.Using variance analysisAnalysis resultsThe F value of the row is 202>>3.2, and the column's F value is 9.34>3.49. The explanation area is the main factor which affects the sales, the promotion form is the secondary factor.Double-factor variance