SEC 10-K: BS, IS or CF 
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 This is a very interesting projects. 
 If you could generate BS or IS, it will be more than enough. 

 Step 1: download all SEC Financial Statements at 
         https://www.sec.gov/dera/data/financial-statement-data-sets.html

 Step 2: unzip one and write a SAS program to retrieve data 

 Step 3: work on one zip file 

 Step 4: write SAS programs to generate many 
         individual SAS data sets or generate 
         one big SAS data set, 

 Step 5: Generate your own BS
         Method I: download latest several years 
                   BS from Yahoo!Finance
                   replicate with your data 
              
         Method II: generate your own BS

  Advantage with your data sets
        a) 10 years' data from 2009 to 2018
        b) next year, we will have one more year
        c) Easily estimate industry means such as 
                           CA
            Quick Ratio ----------
                           CL 

              CA is the current assets
              CL is the current liability 
         d) you could generate some SAS, R or Python 
            data sets

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Why Monte Carlo Simulation is important  
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  Monte Carlo simulation produces distributions of possible outcome values. 

  By using probability distributions, variables can have different probabilities 
  of different outcomes occurring. Probability distributions are a much more 
  realistic way of describing uncertainty in variables of a risk analysis.

  What is Monte Carlo simulation?
    Monte Carlo simulation is a computerized mathematical technique that 
    allows people to account for risk in quantitative analysis and decision 
    making. The technique is used by professionals in such widely disparate 
    fields as finance, project management, energy, manufacturing, engineering, 
    research and development, insurance, oil & gas, transportation, and the 
    environment.

   Monte Carlo simulation furnishes the decision-maker with a range of possible 
   outcomes and the probabilities they will occur for any choice of action. 
   It shows the extreme possibilities the outcomes of going for broke and for 
   the most conservative decision along with all possible consequences for 
   middle-of-the-road decisions.

  The technique was first used by scientists working on the atom bomb; it was 
  named for Monte Carlo, the Monaco resort town renowned for its casinos. 
  Since its introduction in World War II, Monte Carlo simulation has been 
  used to model a variety of physical and conceptual systems.

       http://www.palisade.com/risk/monte_carlo_simulation.asp
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