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DazStat 3.2 provides basic descriptive statistics and specific return distribution analytics.

A particular emphasis is placed on whether the distribution of the returns conforms to a Normal distribution.  This is a fundamental property of return distributions that is assumed in most parametric statistical analysis and measurement of returns.  Read more at: Read This

### Structure

DazStat(Stat, Data, Freq, Pct, Label)

Stat: an integer indicating which DazStat result to return.  Flip this switch to move between any results!
Data: a row or column range of returns, may contain blank cells at the start and end of the range.
Freq: an optional integer indicating the number of return periods in a year, default is 12.
Pct: an optional Boolean indicating if the data is in percent (0.035 or 3.50% – True) or float (3.50 – False), default is True.
Label: an optional Boolean indicating if the result is the function result or label, default is False (result).

### Stats

0 Count – all returns
1 Positive – only positive returns
2 Negative – only negative returns
3 Mean – mean of all returns
4 Median – median of all returns
5 Max – maximum of all returns
6 Min – minimum of all returns
7 Standard Deviation – standard deviation of all returns
8 Skew – skew of the distribution of all returns
9 Excess Kurtosis – excess kurtosis of all returns
10 Cumulative Return – compounded over all returns
11 CAGR – Compound Annual Growth Rate
12 Annualized Volatility – using Standard Deviation
13 Non-parametric Standard Deviation – using actual distribution
14 Non-parametric Annualized Volatility – using Non-parametric Standard Deviation
15 Interquartile Volatility
16 Jarque-Bera – test for goodness of fit with Normal distribution for all returns
17 Probability Plot Correlation Coefficient – test for goodness of fit with Normal distribution for all returns
18 Kolmogorov-Smirnov – test for goodness of fit with Normal distribution for all returns
19 Anderson-Darling – test for goodness of fit with Normal distribution for all returns
20 Wald-Wolfowitz Runs Test – test for randomness of runs for all returns
21 Max Drawdown – maximum cumulative drawdown for all returns
22 Max Run-up – maximum cumulative run-up for all returns

A total of 41 results are returned using the arrays

### Results

An individual result may be a label (the name of the function) or an analytical result value.
The analytical result could be a label, a value or a columnar array. For example, if the Jarque-Bera test is not significant at the 5% level, the individual result is a label “Normal” indicating that the distribution passes the test for a Gaussian Normal distribution. The same test returns an array of three values: the label, the JB statistic value and the Chi value for 5%.
DazStat can also be used as a single array, in column or row orientation, for all results at one time. This is more efficient than entering each Stat in individual cells when you want to scope out all the results for your data.
Individual array results may be returned by using =Index(DazStat(function), Array Number).

### Example

The DazStat 3.2 Examples worksheet contains different returns and an example of how to use DazStat simply and powerfully.
The returns may have different start and end periods and be in either rows or columns.
The results are shown in individual cells or as a single array result.
The Stat switch value can be in a cell outside the function array, giving you direct control of the results you will see.