Compare Proposal

Nothing to compare.

Collecting and standardizing financial data

  • Posted at : 1 month ago
  • Post Similar Project
100

Budget
18
Proposals
297
Views
Expired
Status
Skills Required

Posted By -

JS

USA
0.0
Projects Posted : 1
Projects Paid : 0
Services Purchased : 0
Total Spent :
0
Feedbacks : 0 %

Project Details show (+) hide (-)

  • It is a financial stress calculation project.

    I want data to be collected for 27 countries. Data collected
    must include various markets like Foreign Exchange Market and the
    variables(sub-indices) for the foreign exchange market for which the data needs
    to be collected are

    1)    
    Exchange Rate of Country Currency /  Benchmark Currencies


    (Dollar, US); (Pound sterling, UK); (Euro, Europe); (Dollar,
    Canada); (Peso, Mexico); (Dollar, Australia); (Yen, Japan); (Rand, South
    Africa)

    2)    
    CMAX for FX crashes


    3)    
    Volatility - Country Currency / Benchmark
    currencies


     (Dollar, US); (Pound
    sterling, UK); (Euro, Europe); (Dollar, Canada); (Peso, Mexico); (Dollar,
    Australia); (Yen, Japan); (Rand, South Africa)


    4)    
    Real Effective Exchange Rate


    5)    
    Suggest Covered Interest Spread to Benchmark
    Currencies


    Task is to collect financial data for 27 countries below

    Antigua and Barbuda     

    Canada

    Cuba     

    Jamaica

    Namibia              

    Philippines          

    Sierra

    Leone   

    Botswana           

    Gabon  

    Indonesia           

    Malawi 

    Paraguay            

    Thailand              

    Turkmenistan    

    Barbados            

    Egypt    

    Finland 

    Laos      

    North Korea      

    Slovenia              

    Tajikistan            

    Central African Republic

    Guinea-Bissau   

    Luxembourg      

    Moldova             

    Samoa  

    Uzbekistan         

     

    Once the data is collected for the countries from 2000 to 2020,
    we need to calculate rolling standard deviation and rolling mean of the data

    Then used Principle component analysis on the
    data to give charts showcasing the financial stress.